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Understanding Data Presentations (Guide + Examples)

In this age of overwhelming information, the skill to effectively convey data has become extremely valuable. Initiating a discussion on data presentation types involves thoughtful consideration of the nature of your data and the message you aim to convey. Different types of visualizations serve distinct purposes. Whether you’re dealing with how to develop a report or simply trying to communicate complex information, how you present data influences how well your audience understands and engages with it. This extensive guide leads you through the different ways of data presentation.

Table of Contents

What is a Data Presentation?

What should a data presentation include, line graphs, treemap chart, scatter plot, how to choose a data presentation type, recommended data presentation templates, common mistakes done in data presentation.

A data presentation is a slide deck that aims to disclose quantitative information to an audience through the use of visual formats and narrative techniques derived from data analysis, making complex data understandable and actionable. This process requires a series of tools, such as charts, graphs, tables, infographics, dashboards, and so on, supported by concise textual explanations to improve understanding and boost retention rate.

Data presentations require us to cull data in a format that allows the presenter to highlight trends, patterns, and insights so that the audience can act upon the shared information. In a few words, the goal of data presentations is to enable viewers to grasp complicated concepts or trends quickly, facilitating informed decision-making or deeper analysis.

Data presentations go beyond the mere usage of graphical elements. Seasoned presenters encompass visuals with the art of data storytelling , so the speech skillfully connects the points through a narrative that resonates with the audience. Depending on the purpose – inspire, persuade, inform, support decision-making processes, etc. – is the data presentation format that is better suited to help us in this journey.

To nail your upcoming data presentation, ensure to count with the following elements:

• Clear Objectives: Understand the intent of your presentation before selecting the graphical layout and metaphors to make content easier to grasp.
• Engaging introduction: Use a powerful hook from the get-go. For instance, you can ask a big question or present a problem that your data will answer. Take a look at our guide on how to start a presentation for tips & insights.
• Structured Narrative: Your data presentation must tell a coherent story. This means a beginning where you present the context, a middle section in which you present the data, and an ending that uses a call-to-action. Check our guide on presentation structure for further information.
• Visual Elements: These are the charts, graphs, and other elements of visual communication we ought to use to present data. This article will cover one by one the different types of data representation methods we can use, and provide further guidance on choosing between them.
• Insights and Analysis: This is not just showcasing a graph and letting people get an idea about it. A proper data presentation includes the interpretation of that data, the reason why it’s included, and why it matters to your research.
• Conclusion & CTA: Ending your presentation with a call to action is necessary. Whether you intend to wow your audience into acquiring your services, inspire them to change the world, or whatever the purpose of your presentation, there must be a stage in which you convey all that you shared and show the path to staying in touch. Plan ahead whether you want to use a thank-you slide, a video presentation, or which method is apt and tailored to the kind of presentation you deliver.
• Q&A Session: After your speech is concluded, allocate 3-5 minutes for the audience to raise any questions about the information you disclosed. This is an extra chance to establish your authority on the topic. Check our guide on questions and answer sessions in presentations here.

Bar charts are a graphical representation of data using rectangular bars to show quantities or frequencies in an established category. They make it easy for readers to spot patterns or trends. Bar charts can be horizontal or vertical, although the vertical format is commonly known as a column chart. They display categorical, discrete, or continuous variables grouped in class intervals [1] . They include an axis and a set of labeled bars horizontally or vertically. These bars represent the frequencies of variable values or the values themselves. Numbers on the y-axis of a vertical bar chart or the x-axis of a horizontal bar chart are called the scale.

Real-Life Application of Bar Charts

Let’s say a sales manager is presenting sales to their audience. Using a bar chart, he follows these steps.

Step 1: Selecting Data

The first step is to identify the specific data you will present to your audience.

The sales manager has highlighted these products for the presentation.

• Product A: Men’s Shoes
• Product B: Women’s Apparel
• Product C: Electronics
• Product D: Home Decor

Step 2: Choosing Orientation

Opt for a vertical layout for simplicity. Vertical bar charts help compare different categories in case there are not too many categories [1] . They can also help show different trends. A vertical bar chart is used where each bar represents one of the four chosen products. After plotting the data, it is seen that the height of each bar directly represents the sales performance of the respective product.

It is visible that the tallest bar (Electronics – Product C) is showing the highest sales. However, the shorter bars (Women’s Apparel – Product B and Home Decor – Product D) need attention. It indicates areas that require further analysis or strategies for improvement.

Step 3: Colorful Insights

Different colors are used to differentiate each product. It is essential to show a color-coded chart where the audience can distinguish between products.

• Men’s Shoes (Product A): Yellow
• Women’s Apparel (Product B): Orange
• Electronics (Product C): Violet
• Home Decor (Product D): Blue

Bar charts are straightforward and easily understandable for presenting data. They are versatile when comparing products or any categorical data [2] . Bar charts adapt seamlessly to retail scenarios. Despite that, bar charts have a few shortcomings. They cannot illustrate data trends over time. Besides, overloading the chart with numerous products can lead to visual clutter, diminishing its effectiveness.

For more information, check our collection of bar chart templates for PowerPoint .

Line graphs help illustrate data trends, progressions, or fluctuations by connecting a series of data points called ‘markers’ with straight line segments. This provides a straightforward representation of how values change [5] . Their versatility makes them invaluable for scenarios requiring a visual understanding of continuous data. In addition, line graphs are also useful for comparing multiple datasets over the same timeline. Using multiple line graphs allows us to compare more than one data set. They simplify complex information so the audience can quickly grasp the ups and downs of values. From tracking stock prices to analyzing experimental results, you can use line graphs to show how data changes over a continuous timeline. They show trends with simplicity and clarity.

Real-life Application of Line Graphs

To understand line graphs thoroughly, we will use a real case. Imagine you’re a financial analyst presenting a tech company’s monthly sales for a licensed product over the past year. Investors want insights into sales behavior by month, how market trends may have influenced sales performance and reception to the new pricing strategy. To present data via a line graph, you will complete these steps.

First, you need to gather the data. In this case, your data will be the sales numbers. For example:

• January: $45,000
• February: $55,000
• March: $45,000
• April: $60,000
• May: $ 70,000
• June: $65,000
• July: $62,000
• August: $68,000
• September: $81,000
• October: $76,000
• November: $87,000
• December: $91,000

After choosing the data, the next step is to select the orientation. Like bar charts, you can use vertical or horizontal line graphs. However, we want to keep this simple, so we will keep the timeline (x-axis) horizontal while the sales numbers (y-axis) vertical.

Step 3: Connecting Trends

After adding the data to your preferred software, you will plot a line graph. In the graph, each month’s sales are represented by data points connected by a line.

Step 4: Adding Clarity with Color

If there are multiple lines, you can also add colors to highlight each one, making it easier to follow.

Line graphs excel at visually presenting trends over time. These presentation aids identify patterns, like upward or downward trends. However, too many data points can clutter the graph, making it harder to interpret. Line graphs work best with continuous data but are not suitable for categories.

For more information, check our collection of line chart templates for PowerPoint and our article about how to make a presentation graph .

A data dashboard is a visual tool for analyzing information. Different graphs, charts, and tables are consolidated in a layout to showcase the information required to achieve one or more objectives. Dashboards help quickly see Key Performance Indicators (KPIs). You don’t make new visuals in the dashboard; instead, you use it to display visuals you’ve already made in worksheets [3] .

Keeping the number of visuals on a dashboard to three or four is recommended. Adding too many can make it hard to see the main points [4]. Dashboards can be used for business analytics to analyze sales, revenue, and marketing metrics at a time. They are also used in the manufacturing industry, as they allow users to grasp the entire production scenario at the moment while tracking the core KPIs for each line.

Real-Life Application of a Dashboard

Consider a project manager presenting a software development project’s progress to a tech company’s leadership team. He follows the following steps.

Step 1: Defining Key Metrics

To effectively communicate the project’s status, identify key metrics such as completion status, budget, and bug resolution rates. Then, choose measurable metrics aligned with project objectives.

Step 2: Choosing Visualization Widgets

After finalizing the data, presentation aids that align with each metric are selected. For this project, the project manager chooses a progress bar for the completion status and uses bar charts for budget allocation. Likewise, he implements line charts for bug resolution rates.

Step 3: Dashboard Layout

Key metrics are prominently placed in the dashboard for easy visibility, and the manager ensures that it appears clean and organized.

Dashboards provide a comprehensive view of key project metrics. Users can interact with data, customize views, and drill down for detailed analysis. However, creating an effective dashboard requires careful planning to avoid clutter. Besides, dashboards rely on the availability and accuracy of underlying data sources.

For more information, check our article on how to design a dashboard presentation , and discover our collection of dashboard PowerPoint templates .

Treemap charts represent hierarchical data structured in a series of nested rectangles [6] . As each branch of the ‘tree’ is given a rectangle, smaller tiles can be seen representing sub-branches, meaning elements on a lower hierarchical level than the parent rectangle. Each one of those rectangular nodes is built by representing an area proportional to the specified data dimension.

Treemaps are useful for visualizing large datasets in compact space. It is easy to identify patterns, such as which categories are dominant. Common applications of the treemap chart are seen in the IT industry, such as resource allocation, disk space management, website analytics, etc. Also, they can be used in multiple industries like healthcare data analysis, market share across different product categories, or even in finance to visualize portfolios.

Real-Life Application of a Treemap Chart

Let’s consider a financial scenario where a financial team wants to represent the budget allocation of a company. There is a hierarchy in the process, so it is helpful to use a treemap chart. In the chart, the top-level rectangle could represent the total budget, and it would be subdivided into smaller rectangles, each denoting a specific department. Further subdivisions within these smaller rectangles might represent individual projects or cost categories.

Step 1: Define Your Data Hierarchy

While presenting data on the budget allocation, start by outlining the hierarchical structure. The sequence will be like the overall budget at the top, followed by departments, projects within each department, and finally, individual cost categories for each project.

• Top-level rectangle: Total Budget
• Second-level rectangles: Departments (Engineering, Marketing, Sales)
• Third-level rectangles: Projects within each department
• Fourth-level rectangles: Cost categories for each project (Personnel, Marketing Expenses, Equipment)

Step 2: Choose a Suitable Tool

It’s time to select a data visualization tool supporting Treemaps. Popular choices include Tableau, Microsoft Power BI, PowerPoint, or even coding with libraries like D3.js. It is vital to ensure that the chosen tool provides customization options for colors, labels, and hierarchical structures.

Here, the team uses PowerPoint for this guide because of its user-friendly interface and robust Treemap capabilities.

Step 3: Make a Treemap Chart with PowerPoint

After opening the PowerPoint presentation, they chose “SmartArt” to form the chart. The SmartArt Graphic window has a “Hierarchy” category on the left.  Here, you will see multiple options. You can choose any layout that resembles a Treemap. The “Table Hierarchy” or “Organization Chart” options can be adapted. The team selects the Table Hierarchy as it looks close to a Treemap.

Step 5: Input Your Data

After that, a new window will open with a basic structure. They add the data one by one by clicking on the text boxes. They start with the top-level rectangle, representing the total budget.  

Step 6: Customize the Treemap

By clicking on each shape, they customize its color, size, and label. At the same time, they can adjust the font size, style, and color of labels by using the options in the “Format” tab in PowerPoint. Using different colors for each level enhances the visual difference.

Treemaps excel at illustrating hierarchical structures. These charts make it easy to understand relationships and dependencies. They efficiently use space, compactly displaying a large amount of data, reducing the need for excessive scrolling or navigation. Additionally, using colors enhances the understanding of data by representing different variables or categories.

In some cases, treemaps might become complex, especially with deep hierarchies.  It becomes challenging for some users to interpret the chart. At the same time, displaying detailed information within each rectangle might be constrained by space. It potentially limits the amount of data that can be shown clearly. Without proper labeling and color coding, there’s a risk of misinterpretation.

A heatmap is a data visualization tool that uses color coding to represent values across a two-dimensional surface. In these, colors replace numbers to indicate the magnitude of each cell. This color-shaded matrix display is valuable for summarizing and understanding data sets with a glance [7] . The intensity of the color corresponds to the value it represents, making it easy to identify patterns, trends, and variations in the data.

As a tool, heatmaps help businesses analyze website interactions, revealing user behavior patterns and preferences to enhance overall user experience. In addition, companies use heatmaps to assess content engagement, identifying popular sections and areas of improvement for more effective communication. They excel at highlighting patterns and trends in large datasets, making it easy to identify areas of interest.

We can implement heatmaps to express multiple data types, such as numerical values, percentages, or even categorical data. Heatmaps help us easily spot areas with lots of activity, making them helpful in figuring out clusters [8] . When making these maps, it is important to pick colors carefully. The colors need to show the differences between groups or levels of something. And it is good to use colors that people with colorblindness can easily see.

Check our detailed guide on how to create a heatmap here. Also discover our collection of heatmap PowerPoint templates .

Pie charts are circular statistical graphics divided into slices to illustrate numerical proportions. Each slice represents a proportionate part of the whole, making it easy to visualize the contribution of each component to the total.

The size of the pie charts is influenced by the value of data points within each pie. The total of all data points in a pie determines its size. The pie with the highest data points appears as the largest, whereas the others are proportionally smaller. However, you can present all pies of the same size if proportional representation is not required [9] . Sometimes, pie charts are difficult to read, or additional information is required. A variation of this tool can be used instead, known as the donut chart , which has the same structure but a blank center, creating a ring shape. Presenters can add extra information, and the ring shape helps to declutter the graph.

Pie charts are used in business to show percentage distribution, compare relative sizes of categories, or present straightforward data sets where visualizing ratios is essential.

Real-Life Application of Pie Charts

Consider a scenario where you want to represent the distribution of the data. Each slice of the pie chart would represent a different category, and the size of each slice would indicate the percentage of the total portion allocated to that category.

Step 1: Define Your Data Structure

Imagine you are presenting the distribution of a project budget among different expense categories.

• Column A: Expense Categories (Personnel, Equipment, Marketing, Miscellaneous)
• Column B: Budget Amounts ($40,000, $30,000, $20,000, $10,000) Column B represents the values of your categories in Column A.

Step 2: Insert a Pie Chart

Using any of the accessible tools, you can create a pie chart. The most convenient tools for forming a pie chart in a presentation are presentation tools such as PowerPoint or Google Slides.  You will notice that the pie chart assigns each expense category a percentage of the total budget by dividing it by the total budget.

For instance:

• Personnel: $40,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 40%
• Equipment: $30,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 30%
• Marketing: $20,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 20%
• Miscellaneous: $10,000 / ($40,000 + $30,000 + $20,000 + $10,000) = 10%

You can make a chart out of this or just pull out the pie chart from the data.

3D pie charts and 3D donut charts are quite popular among the audience. They stand out as visual elements in any presentation slide, so let’s take a look at how our pie chart example would look in 3D pie chart format.

Step 03: Results Interpretation

The pie chart visually illustrates the distribution of the project budget among different expense categories. Personnel constitutes the largest portion at 40%, followed by equipment at 30%, marketing at 20%, and miscellaneous at 10%. This breakdown provides a clear overview of where the project funds are allocated, which helps in informed decision-making and resource management. It is evident that personnel are a significant investment, emphasizing their importance in the overall project budget.

Pie charts provide a straightforward way to represent proportions and percentages. They are easy to understand, even for individuals with limited data analysis experience. These charts work well for small datasets with a limited number of categories.

However, a pie chart can become cluttered and less effective in situations with many categories. Accurate interpretation may be challenging, especially when dealing with slight differences in slice sizes. In addition, these charts are static and do not effectively convey trends over time.

For more information, check our collection of pie chart templates for PowerPoint .

Histograms present the distribution of numerical variables. Unlike a bar chart that records each unique response separately, histograms organize numeric responses into bins and show the frequency of reactions within each bin [10] . The x-axis of a histogram shows the range of values for a numeric variable. At the same time, the y-axis indicates the relative frequencies (percentage of the total counts) for that range of values.

Whenever you want to understand the distribution of your data, check which values are more common, or identify outliers, histograms are your go-to. Think of them as a spotlight on the story your data is telling. A histogram can provide a quick and insightful overview if you’re curious about exam scores, sales figures, or any numerical data distribution.

Real-Life Application of a Histogram

In the histogram data analysis presentation example, imagine an instructor analyzing a class’s grades to identify the most common score range. A histogram could effectively display the distribution. It will show whether most students scored in the average range or if there are significant outliers.

Step 1: Gather Data

He begins by gathering the data. The scores of each student in class are gathered to analyze exam scores.

After arranging the scores in ascending order, bin ranges are set.

Step 2: Define Bins

Bins are like categories that group similar values. Think of them as buckets that organize your data. The presenter decides how wide each bin should be based on the range of the values. For instance, the instructor sets the bin ranges based on score intervals: 60-69, 70-79, 80-89, and 90-100.

Step 3: Count Frequency

Now, he counts how many data points fall into each bin. This step is crucial because it tells you how often specific ranges of values occur. The result is the frequency distribution, showing the occurrences of each group.

Here, the instructor counts the number of students in each category.

• 60-69: 1 student (Kate)
• 70-79: 4 students (David, Emma, Grace, Jack)
• 80-89: 7 students (Alice, Bob, Frank, Isabel, Liam, Mia, Noah)
• 90-100: 3 students (Clara, Henry, Olivia)

Step 4: Create the Histogram

It’s time to turn the data into a visual representation. Draw a bar for each bin on a graph. The width of the bar should correspond to the range of the bin, and the height should correspond to the frequency.  To make your histogram understandable, label the X and Y axes.

In this case, the X-axis should represent the bins (e.g., test score ranges), and the Y-axis represents the frequency.

The histogram of the class grades reveals insightful patterns in the distribution. Most students, with seven students, fall within the 80-89 score range. The histogram provides a clear visualization of the class’s performance. It showcases a concentration of grades in the upper-middle range with few outliers at both ends. This analysis helps in understanding the overall academic standing of the class. It also identifies the areas for potential improvement or recognition.

Thus, histograms provide a clear visual representation of data distribution. They are easy to interpret, even for those without a statistical background. They apply to various types of data, including continuous and discrete variables. One weak point is that histograms do not capture detailed patterns in students’ data, with seven compared to other visualization methods.

A scatter plot is a graphical representation of the relationship between two variables. It consists of individual data points on a two-dimensional plane. This plane plots one variable on the x-axis and the other on the y-axis. Each point represents a unique observation. It visualizes patterns, trends, or correlations between the two variables.

Scatter plots are also effective in revealing the strength and direction of relationships. They identify outliers and assess the overall distribution of data points. The points’ dispersion and clustering reflect the relationship’s nature, whether it is positive, negative, or lacks a discernible pattern. In business, scatter plots assess relationships between variables such as marketing cost and sales revenue. They help present data correlations and decision-making.

Real-Life Application of Scatter Plot

A group of scientists is conducting a study on the relationship between daily hours of screen time and sleep quality. After reviewing the data, they managed to create this table to help them build a scatter plot graph:

In the provided example, the x-axis represents Daily Hours of Screen Time, and the y-axis represents the Sleep Quality Rating.

The scientists observe a negative correlation between the amount of screen time and the quality of sleep. This is consistent with their hypothesis that blue light, especially before bedtime, has a significant impact on sleep quality and metabolic processes.

There are a few things to remember when using a scatter plot. Even when a scatter diagram indicates a relationship, it doesn’t mean one variable affects the other. A third factor can influence both variables. The more the plot resembles a straight line, the stronger the relationship is perceived [11] . If it suggests no ties, the observed pattern might be due to random fluctuations in data. When the scatter diagram depicts no correlation, whether the data might be stratified is worth considering.

Choosing the appropriate data presentation type is crucial when making a presentation . Understanding the nature of your data and the message you intend to convey will guide this selection process. For instance, when showcasing quantitative relationships, scatter plots become instrumental in revealing correlations between variables. If the focus is on emphasizing parts of a whole, pie charts offer a concise display of proportions. Histograms, on the other hand, prove valuable for illustrating distributions and frequency patterns. 

Bar charts provide a clear visual comparison of different categories. Likewise, line charts excel in showcasing trends over time, while tables are ideal for detailed data examination. Starting a presentation on data presentation types involves evaluating the specific information you want to communicate and selecting the format that aligns with your message. This ensures clarity and resonance with your audience from the beginning of your presentation.

1. Fact Sheet Dashboard for Data Presentation

Convey all the data you need to present in this one-pager format, an ideal solution tailored for users looking for presentation aids. Global maps, donut chats, column graphs, and text neatly arranged in a clean layout presented in light and dark themes.

Use This Template

2. 3D Column Chart Infographic PPT Template

Represent column charts in a highly visual 3D format with this PPT template. A creative way to present data, this template is entirely editable, and we can craft either a one-page infographic or a series of slides explaining what we intend to disclose point by point.

3. Data Circles Infographic PowerPoint Template

An alternative to the pie chart and donut chart diagrams, this template features a series of curved shapes with bubble callouts as ways of presenting data. Expand the information for each arch in the text placeholder areas.

4. Colorful Metrics Dashboard for Data Presentation

This versatile dashboard template helps us in the presentation of the data by offering several graphs and methods to convert numbers into graphics. Implement it for e-commerce projects, financial projections, project development, and more.

5. Animated Data Presentation Tools for PowerPoint & Google Slides

A slide deck filled with most of the tools mentioned in this article, from bar charts, column charts, treemap graphs, pie charts, histogram, etc. Animated effects make each slide look dynamic when sharing data with stakeholders.

6. Statistics Waffle Charts PPT Template for Data Presentations

This PPT template helps us how to present data beyond the typical pie chart representation. It is widely used for demographics, so it’s a great fit for marketing teams, data science professionals, HR personnel, and more.

7. Data Presentation Dashboard Template for Google Slides

A compendium of tools in dashboard format featuring line graphs, bar charts, column charts, and neatly arranged placeholder text areas. 

8. Weather Dashboard for Data Presentation

Share weather data for agricultural presentation topics, environmental studies, or any kind of presentation that requires a highly visual layout for weather forecasting on a single day. Two color themes are available.

9. Social Media Marketing Dashboard Data Presentation Template

Intended for marketing professionals, this dashboard template for data presentation is a tool for presenting data analytics from social media channels. Two slide layouts featuring line graphs and column charts.

10. Project Management Summary Dashboard Template

A tool crafted for project managers to deliver highly visual reports on a project’s completion, the profits it delivered for the company, and expenses/time required to execute it. 4 different color layouts are available.

11. Profit & Loss Dashboard for PowerPoint and Google Slides

A must-have for finance professionals. This typical profit & loss dashboard includes progress bars, donut charts, column charts, line graphs, and everything that’s required to deliver a comprehensive report about a company’s financial situation.

Overwhelming visuals

One of the mistakes related to using data-presenting methods is including too much data or using overly complex visualizations. They can confuse the audience and dilute the key message.

Inappropriate chart types

Choosing the wrong type of chart for the data at hand can lead to misinterpretation. For example, using a pie chart for data that doesn’t represent parts of a whole is not right.

Lack of context

Failing to provide context or sufficient labeling can make it challenging for the audience to understand the significance of the presented data.

Inconsistency in design

Using inconsistent design elements and color schemes across different visualizations can create confusion and visual disarray.

Failure to provide details

Simply presenting raw data without offering clear insights or takeaways can leave the audience without a meaningful conclusion.

Lack of focus

Not having a clear focus on the key message or main takeaway can result in a presentation that lacks a central theme.

Visual accessibility issues

Overlooking the visual accessibility of charts and graphs can exclude certain audience members who may have difficulty interpreting visual information.

In order to avoid these mistakes in data presentation, presenters can benefit from using presentation templates . These templates provide a structured framework. They ensure consistency, clarity, and an aesthetically pleasing design, enhancing data communication’s overall impact.

Understanding and choosing data presentation types are pivotal in effective communication. Each method serves a unique purpose, so selecting the appropriate one depends on the nature of the data and the message to be conveyed. The diverse array of presentation types offers versatility in visually representing information, from bar charts showing values to pie charts illustrating proportions. 

Using the proper method enhances clarity, engages the audience, and ensures that data sets are not just presented but comprehensively understood. By appreciating the strengths and limitations of different presentation types, communicators can tailor their approach to convey information accurately, developing a deeper connection between data and audience understanding.

[1] Government of Canada, S.C. (2021) 5 Data Visualization 5.2 Bar Chart , 5.2 Bar chart .  https://www150.statcan.gc.ca/n1/edu/power-pouvoir/ch9/bargraph-diagrammeabarres/5214818-eng.htm

[2] Kosslyn, S.M., 1989. Understanding charts and graphs. Applied cognitive psychology, 3(3), pp.185-225. https://apps.dtic.mil/sti/pdfs/ADA183409.pdf

[3] Creating a Dashboard . https://it.tufts.edu/book/export/html/1870

[4] https://www.goldenwestcollege.edu/research/data-and-more/data-dashboards/index.html

[5] https://www.mit.edu/course/21/21.guide/grf-line.htm

[6] Jadeja, M. and Shah, K., 2015, January. Tree-Map: A Visualization Tool for Large Data. In GSB@ SIGIR (pp. 9-13). https://ceur-ws.org/Vol-1393/gsb15proceedings.pdf#page=15

[7] Heat Maps and Quilt Plots. https://www.publichealth.columbia.edu/research/population-health-methods/heat-maps-and-quilt-plots

[8] EIU QGIS WORKSHOP. https://www.eiu.edu/qgisworkshop/heatmaps.php

[9] About Pie Charts.  https://www.mit.edu/~mbarker/formula1/f1help/11-ch-c8.htm

[10] Histograms. https://sites.utexas.edu/sos/guided/descriptive/numericaldd/descriptiven2/histogram/ [11] https://asq.org/quality-resources/scatter-diagram

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Blog Data Visualization 10 Data Presentation Examples For Strategic Communication

10 Data Presentation Examples For Strategic Communication

Written by: Krystle Wong Sep 28, 2023

Knowing how to present data is like having a superpower. 

Data presentation today is no longer just about numbers on a screen; it’s storytelling with a purpose. It’s about captivating your audience, making complex stuff look simple and inspiring action. 

To help turn your data into stories that stick, influence decisions and make an impact, check out Venngage’s free chart maker or follow me on a tour into the world of data storytelling along with data presentation templates that work across different fields, from business boardrooms to the classroom and beyond. Keep scrolling to learn more! 

Click to jump ahead:

10 Essential data presentation examples + methods you should know

What should be included in a data presentation, what are some common mistakes to avoid when presenting data, faqs on data presentation examples, transform your message with impactful data storytelling.

Data presentation is a vital skill in today’s information-driven world. Whether you’re in business, academia, or simply want to convey information effectively, knowing the different ways of presenting data is crucial. For impactful data storytelling, consider these essential data presentation methods:

1. Bar graph

Ideal for comparing data across categories or showing trends over time.

Bar graphs, also known as bar charts are workhorses of data presentation. They’re like the Swiss Army knives of visualization methods because they can be used to compare data in different categories or display data changes over time. 

In a bar chart, categories are displayed on the x-axis and the corresponding values are represented by the height of the bars on the y-axis. 

It’s a straightforward and effective way to showcase raw data, making it a staple in business reports, academic presentations and beyond.

Make sure your bar charts are concise with easy-to-read labels. Whether your bars go up or sideways, keep it simple by not overloading with too many categories.

2. Line graph

Great for displaying trends and variations in data points over time or continuous variables.

Line charts or line graphs are your go-to when you want to visualize trends and variations in data sets over time.

One of the best quantitative data presentation examples, they work exceptionally well for showing continuous data, such as sales projections over the last couple of years or supply and demand fluctuations. 

The x-axis represents time or a continuous variable and the y-axis represents the data values. By connecting the data points with lines, you can easily spot trends and fluctuations.

A tip when presenting data with line charts is to minimize the lines and not make it too crowded. Highlight the big changes, put on some labels and give it a catchy title.

3. Pie chart

Useful for illustrating parts of a whole, such as percentages or proportions.

Pie charts are perfect for showing how a whole is divided into parts. They’re commonly used to represent percentages or proportions and are great for presenting survey results that involve demographic data. 

Each “slice” of the pie represents a portion of the whole and the size of each slice corresponds to its share of the total. 

While pie charts are handy for illustrating simple distributions, they can become confusing when dealing with too many categories or when the differences in proportions are subtle.

Don’t get too carried away with slices — label those slices with percentages or values so people know what’s what and consider using a legend for more categories.

4. Scatter plot

Effective for showing the relationship between two variables and identifying correlations.

Scatter plots are all about exploring relationships between two variables. They’re great for uncovering correlations, trends or patterns in data. 

In a scatter plot, every data point appears as a dot on the chart, with one variable marked on the horizontal x-axis and the other on the vertical y-axis.

By examining the scatter of points, you can discern the nature of the relationship between the variables, whether it’s positive, negative or no correlation at all.

If you’re using scatter plots to reveal relationships between two variables, be sure to add trendlines or regression analysis when appropriate to clarify patterns. Label data points selectively or provide tooltips for detailed information.

5. Histogram

Best for visualizing the distribution and frequency of a single variable.

Histograms are your choice when you want to understand the distribution and frequency of a single variable. 

They divide the data into “bins” or intervals and the height of each bar represents the frequency or count of data points falling into that interval. 

Histograms are excellent for helping to identify trends in data distributions, such as peaks, gaps or skewness.

Here’s something to take note of — ensure that your histogram bins are appropriately sized to capture meaningful data patterns. Using clear axis labels and titles can also help explain the distribution of the data effectively.

6. Stacked bar chart

Useful for showing how different components contribute to a whole over multiple categories.

Stacked bar charts are a handy choice when you want to illustrate how different components contribute to a whole across multiple categories. 

Each bar represents a category and the bars are divided into segments to show the contribution of various components within each category. 

This method is ideal for highlighting both the individual and collective significance of each component, making it a valuable tool for comparative analysis.

Stacked bar charts are like data sandwiches—label each layer so people know what’s what. Keep the order logical and don’t forget the paintbrush for snazzy colors. Here’s a data analysis presentation example on writers’ productivity using stacked bar charts:

7. Area chart

Similar to line charts but with the area below the lines filled, making them suitable for showing cumulative data.

Area charts are close cousins of line charts but come with a twist. 

Imagine plotting the sales of a product over several months. In an area chart, the space between the line and the x-axis is filled, providing a visual representation of the cumulative total. 

This makes it easy to see how values stack up over time, making area charts a valuable tool for tracking trends in data.

For area charts, use them to visualize cumulative data and trends, but avoid overcrowding the chart. Add labels, especially at significant points and make sure the area under the lines is filled with a visually appealing color gradient.

8. Tabular presentation

Presenting data in rows and columns, often used for precise data values and comparisons.

Tabular data presentation is all about clarity and precision. Think of it as presenting numerical data in a structured grid, with rows and columns clearly displaying individual data points. 

A table is invaluable for showcasing detailed data, facilitating comparisons and presenting numerical information that needs to be exact. They’re commonly used in reports, spreadsheets and academic papers.

When presenting tabular data, organize it neatly with clear headers and appropriate column widths. Highlight important data points or patterns using shading or font formatting for better readability.

9. Textual data

Utilizing written or descriptive content to explain or complement data, such as annotations or explanatory text.

Textual data presentation may not involve charts or graphs, but it’s one of the most used qualitative data presentation examples. 

It involves using written content to provide context, explanations or annotations alongside data visuals. Think of it as the narrative that guides your audience through the data. 

Well-crafted textual data can make complex information more accessible and help your audience understand the significance of the numbers and visuals.

Textual data is your chance to tell a story. Break down complex information into bullet points or short paragraphs and use headings to guide the reader’s attention.

10. Pictogram

Using simple icons or images to represent data is especially useful for conveying information in a visually intuitive manner.

Pictograms are all about harnessing the power of images to convey data in an easy-to-understand way. 

Instead of using numbers or complex graphs, you use simple icons or images to represent data points. 

For instance, you could use a thumbs up emoji to illustrate customer satisfaction levels, where each face represents a different level of satisfaction. 

Pictograms are great for conveying data visually, so choose symbols that are easy to interpret and relevant to the data. Use consistent scaling and a legend to explain the symbols’ meanings, ensuring clarity in your presentation.

Looking for more data presentation ideas? Use the Venngage graph maker or browse through our gallery of chart templates to pick a template and get started! 

A comprehensive data presentation should include several key elements to effectively convey information and insights to your audience. Here’s a list of what should be included in a data presentation:

1. Title and objective

• Begin with a clear and informative title that sets the context for your presentation.
• State the primary objective or purpose of the presentation to provide a clear focus.

2. Key data points

• Present the most essential data points or findings that align with your objective.
• Use charts, graphical presentations or visuals to illustrate these key points for better comprehension.

3. Context and significance

• Provide a brief overview of the context in which the data was collected and why it’s significant.
• Explain how the data relates to the larger picture or the problem you’re addressing.

4. Key takeaways

• Summarize the main insights or conclusions that can be drawn from the data.
• Highlight the key takeaways that the audience should remember.

5. Visuals and charts

• Use clear and appropriate visual aids to complement the data.
• Ensure that visuals are easy to understand and support your narrative.

6. Implications or actions

• Discuss the practical implications of the data or any recommended actions.
• If applicable, outline next steps or decisions that should be taken based on the data.

7. Q&A and discussion

• Allocate time for questions and open discussion to engage the audience.
• Address queries and provide additional insights or context as needed.

Presenting data is a crucial skill in various professional fields, from business to academia and beyond. To ensure your data presentations hit the mark, here are some common mistakes that you should steer clear of:

Overloading with data

Presenting too much data at once can overwhelm your audience. Focus on the key points and relevant information to keep the presentation concise and focused. Here are some free data visualization tools you can use to convey data in an engaging and impactful way. 

Assuming everyone’s on the same page

It’s easy to assume that your audience understands as much about the topic as you do. But this can lead to either dumbing things down too much or diving into a bunch of jargon that leaves folks scratching their heads. Take a beat to figure out where your audience is coming from and tailor your presentation accordingly.

Misleading visuals

Using misleading visuals, such as distorted scales or inappropriate chart types can distort the data’s meaning. Pick the right data infographics and understandable charts to ensure that your visual representations accurately reflect the data.

Not providing context

Data without context is like a puzzle piece with no picture on it. Without proper context, data may be meaningless or misinterpreted. Explain the background, methodology and significance of the data.

Not citing sources properly

Neglecting to cite sources and provide citations for your data can erode its credibility. Always attribute data to its source and utilize reliable sources for your presentation.

Not telling a story

Avoid simply presenting numbers. If your presentation lacks a clear, engaging story that takes your audience on a journey from the beginning (setting the scene) through the middle (data analysis) to the end (the big insights and recommendations), you’re likely to lose their interest.

Infographics are great for storytelling because they mix cool visuals with short and sweet text to explain complicated stuff in a fun and easy way. Create one with Venngage’s free infographic maker to create a memorable story that your audience will remember.

Ignoring data quality

Presenting data without first checking its quality and accuracy can lead to misinformation. Validate and clean your data before presenting it.

Simplify your visuals

Fancy charts might look cool, but if they confuse people, what’s the point? Go for the simplest visual that gets your message across. Having a dilemma between presenting data with infographics v.s data design? This article on the difference between data design and infographics might help you out. 

Missing the emotional connection

Data isn’t just about numbers; it’s about people and real-life situations. Don’t forget to sprinkle in some human touch, whether it’s through relatable stories, examples or showing how the data impacts real lives.

Skipping the actionable insights

At the end of the day, your audience wants to know what they should do with all the data. If you don’t wrap up with clear, actionable insights or recommendations, you’re leaving them hanging. Always finish up with practical takeaways and the next steps.

Can you provide some data presentation examples for business reports?

Business reports often benefit from data presentation through bar charts showing sales trends over time, pie charts displaying market share,or tables presenting financial performance metrics like revenue and profit margins.

What are some creative data presentation examples for academic presentations?

Creative data presentation ideas for academic presentations include using statistical infographics to illustrate research findings and statistical data, incorporating storytelling techniques to engage the audience or utilizing heat maps to visualize data patterns.

What are the key considerations when choosing the right data presentation format?

When choosing a chart format , consider factors like data complexity, audience expertise and the message you want to convey. Options include charts (e.g., bar, line, pie), tables, heat maps, data visualization infographics and interactive dashboards.

Knowing the type of data visualization that best serves your data is just half the battle. Here are some best practices for data visualization to make sure that the final output is optimized. 

How can I choose the right data presentation method for my data?

To select the right data presentation method, start by defining your presentation’s purpose and audience. Then, match your data type (e.g., quantitative, qualitative) with suitable visualization techniques (e.g., histograms, word clouds) and choose an appropriate presentation format (e.g., slide deck, report, live demo).

For more presentation ideas , check out this guide on how to make a good presentation or use a presentation software to simplify the process.  

How can I make my data presentations more engaging and informative?

To enhance data presentations, use compelling narratives, relatable examples and fun data infographics that simplify complex data. Encourage audience interaction, offer actionable insights and incorporate storytelling elements to engage and inform effectively.

The opening of your presentation holds immense power in setting the stage for your audience. To design a presentation and convey your data in an engaging and informative, try out Venngage’s free presentation maker to pick the right presentation design for your audience and topic. 

What is the difference between data visualization and data presentation?

Data presentation typically involves conveying data reports and insights to an audience, often using visuals like charts and graphs. Data visualization , on the other hand, focuses on creating those visual representations of data to facilitate understanding and analysis. 

Now that you’ve learned a thing or two about how to use these methods of data presentation to tell a compelling data story , it’s time to take these strategies and make them your own. 

But here’s the deal: these aren’t just one-size-fits-all solutions. Remember that each example we’ve uncovered here is not a rigid template but a source of inspiration. It’s all about making your audience go, “Wow, I get it now!”

Think of your data presentations as your canvas – it’s where you paint your story, convey meaningful insights and make real change happen. 

So, go forth, present your data with confidence and purpose and watch as your strategic influence grows, one compelling presentation at a time.

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Data presentation: A comprehensive guide

Learn how to create data presentation effectively and communicate your insights in a way that is clear, concise, and engaging.

Raja Bothra

Building presentations

Hey there, fellow data enthusiast!

Welcome to our comprehensive guide on data presentation.

Whether you're an experienced presenter or just starting, this guide will help you present your data like a pro. We'll dive deep into what data presentation is, why it's crucial, and how to master it. So, let's embark on this data-driven journey together.

What is data presentation?

Data presentation is the art of transforming raw data into a visual format that's easy to understand and interpret. It's like turning numbers and statistics into a captivating story that your audience can quickly grasp. When done right, data presentation can be a game-changer, enabling you to convey complex information effectively.

Why are data presentations important?

Imagine drowning in a sea of numbers and figures. That's how your audience might feel without proper data presentation. Here's why it's essential:

• Clarity : Data presentations make complex information clear and concise.
• Engagement : Visuals, such as charts and graphs, grab your audience's attention.
• Comprehension : Visual data is easier to understand than long, numerical reports.
• Decision-making : Well-presented data aids informed decision-making.
• Impact : It leaves a lasting impression on your audience.

Types of data presentation:

Now, let's delve into the diverse array of data presentation methods, each with its own unique strengths and applications. We have three primary types of data presentation, and within these categories, numerous specific visualization techniques can be employed to effectively convey your data.

1. Textual presentation

Textual presentation harnesses the power of words and sentences to elucidate and contextualize your data. This method is commonly used to provide a narrative framework for the data, offering explanations, insights, and the broader implications of your findings. It serves as a foundation for a deeper understanding of the data's significance.

2. Tabular presentation

Tabular presentation employs tables to arrange and structure your data systematically. These tables are invaluable for comparing various data groups or illustrating how data evolves over time. They present information in a neat and organized format, facilitating straightforward comparisons and reference points.

3. Graphical presentation

Graphical presentation harnesses the visual impact of charts and graphs to breathe life into your data. Charts and graphs are powerful tools for spotlighting trends, patterns, and relationships hidden within the data. Let's explore some common graphical presentation methods:

• Bar charts: They are ideal for comparing different categories of data. In this method, each category is represented by a distinct bar, and the height of the bar corresponds to the value it represents. Bar charts provide a clear and intuitive way to discern differences between categories.
• Pie charts: It excel at illustrating the relative proportions of different data categories. Each category is depicted as a slice of the pie, with the size of each slice corresponding to the percentage of the total value it represents. Pie charts are particularly effective for showcasing the distribution of data.
• Line graphs: They are the go-to choice when showcasing how data evolves over time. Each point on the line represents a specific value at a particular time period. This method enables viewers to track trends and fluctuations effortlessly, making it perfect for visualizing data with temporal dimensions.
• Scatter plots: They are the tool of choice when exploring the relationship between two variables. In this method, each point on the plot represents a pair of values for the two variables in question. Scatter plots help identify correlations, outliers, and patterns within data pairs.

The selection of the most suitable data presentation method hinges on the specific dataset and the presentation's objectives. For instance, when comparing sales figures of different products, a bar chart shines in its simplicity and clarity. On the other hand, if your aim is to display how a product's sales have changed over time, a line graph provides the ideal visual narrative.

Additionally, it's crucial to factor in your audience's level of familiarity with data presentations. For a technical audience, more intricate visualization methods may be appropriate. However, when presenting to a general audience, opting for straightforward and easily understandable visuals is often the wisest choice.

In the world of data presentation, choosing the right method is akin to selecting the perfect brush for a masterpiece. Each tool has its place, and understanding when and how to use them is key to crafting compelling and insightful presentations. So, consider your data carefully, align your purpose, and paint a vivid picture that resonates with your audience.

What to include in data presentation?

When creating your data presentation, remember these key components:

• Data points : Clearly state the data points you're presenting.
• Comparison : Highlight comparisons and trends in your data.
• Graphical methods : Choose the right chart or graph for your data.
• Infographics : Use visuals like infographics to make information more digestible.
• Numerical values : Include numerical values to support your visuals.
• Qualitative information : Explain the significance of the data.
• Source citation : Always cite your data sources.

How to structure an effective data presentation?

Creating a well-structured data presentation is not just important; it's the backbone of a successful presentation. Here's a step-by-step guide to help you craft a compelling and organized presentation that captivates your audience:

1. Know your audience

Understanding your audience is paramount. Consider their needs, interests, and existing knowledge about your topic. Tailor your presentation to their level of understanding, ensuring that it resonates with them on a personal level. Relevance is the key.

2. Have a clear message

Every effective data presentation should convey a clear and concise message. Determine what you want your audience to learn or take away from your presentation, and make sure your message is the guiding light throughout your presentation. Ensure that all your data points align with and support this central message.

3. Tell a compelling story

Human beings are naturally wired to remember stories. Incorporate storytelling techniques into your presentation to make your data more relatable and memorable. Your data can be the backbone of a captivating narrative, whether it's about a trend, a problem, or a solution. Take your audience on a journey through your data.

4. Leverage visuals

Visuals are a powerful tool in data presentation. They make complex information accessible and engaging. Utilize charts, graphs, and images to illustrate your points and enhance the visual appeal of your presentation. Visuals should not just be an accessory; they should be an integral part of your storytelling.

5. Be clear and concise

Avoid jargon or technical language that your audience may not comprehend. Use plain language and explain your data points clearly. Remember, clarity is king. Each piece of information should be easy for your audience to digest.

6. Practice your delivery

Practice makes perfect. Rehearse your presentation multiple times before the actual delivery. This will help you deliver it smoothly and confidently, reducing the chances of stumbling over your words or losing track of your message.

A basic structure for an effective data presentation

Armed with a comprehensive comprehension of how to construct a compelling data presentation, you can now utilize this fundamental template for guidance:

In the introduction, initiate your presentation by introducing both yourself and the topic at hand. Clearly articulate your main message or the fundamental concept you intend to communicate.

Moving on to the body of your presentation, organize your data in a coherent and easily understandable sequence. Employ visuals generously to elucidate your points and weave a narrative that enhances the overall story. Ensure that the arrangement of your data aligns with and reinforces your central message.

As you approach the conclusion, succinctly recapitulate your key points and emphasize your core message once more. Conclude by leaving your audience with a distinct and memorable takeaway, ensuring that your presentation has a lasting impact.

Additional tips for enhancing your data presentation

To take your data presentation to the next level, consider these additional tips:

• Consistent design : Maintain a uniform design throughout your presentation. This not only enhances visual appeal but also aids in seamless comprehension.
• High-quality visuals : Ensure that your visuals are of high quality, easy to read, and directly relevant to your topic.
• Concise text : Avoid overwhelming your slides with excessive text. Focus on the most critical points, using visuals to support and elaborate.
• Anticipate questions : Think ahead about the questions your audience might pose. Be prepared with well-thought-out answers to foster productive discussions.

By following these guidelines, you can structure an effective data presentation that not only informs but also engages and inspires your audience. Remember, a well-structured presentation is the bridge that connects your data to your audience's understanding and appreciation.

Do’s and don'ts on a data presentation

• Use visuals : Incorporate charts and graphs to enhance understanding.
• Keep it simple : Avoid clutter and complexity.
• Highlight key points : Emphasize crucial data.
• Engage the audience : Encourage questions and discussions.
• Practice : Rehearse your presentation.

Don'ts:

• Overload with data : Less is often more; don't overwhelm your audience.
• Fit Unrelated data : Stay on topic; don't include irrelevant information.
• Neglect the audience : Ensure your presentation suits your audience's level of expertise.
• Read word-for-word : Avoid reading directly from slides.
• Lose focus : Stick to your presentation's purpose.

Summarizing key takeaways

• Definition : Data presentation is the art of visualizing complex data for better understanding.
• Importance : Data presentations enhance clarity, engage the audience, aid decision-making, and leave a lasting impact.
• Types : Textual, Tabular, and Graphical presentations offer various ways to present data.
• Choosing methods : Select the right method based on data, audience, and purpose.
• Components : Include data points, comparisons, visuals, infographics, numerical values, and source citations.
• Structure : Know your audience, have a clear message, tell a compelling story, use visuals, be concise, and practice.
• Do's and don'ts : Do use visuals, keep it simple, highlight key points, engage the audience, and practice. Don't overload with data, include unrelated information, neglect the audience's expertise, read word-for-word, or lose focus.

FAQ's on a data presentation

1. what is data presentation, and why is it important in 2024.

Data presentation is the process of visually representing data sets to convey information effectively to an audience. In an era where the amount of data generated is vast, visually presenting data using methods such as diagrams, graphs, and charts has become crucial. By simplifying complex data sets, presentation of the data may helps your audience quickly grasp much information without drowning in a sea of chart's, analytics, facts and figures.

2. What are some common methods of data presentation?

There are various methods of data presentation, including graphs and charts, histograms, and cumulative frequency polygons. Each method has its strengths and is often used depending on the type of data you're using and the message you want to convey. For instance, if you want to show data over time, try using a line graph. If you're presenting geographical data, consider to use a heat map.

3. How can I ensure that my data presentation is clear and readable?

To ensure that your data presentation is clear and readable, pay attention to the design and labeling of your charts. Don't forget to label the axes appropriately, as they are critical for understanding the values they represent. Don't fit all the information in one slide or in a single paragraph. Presentation software like Prezent and PowerPoint can help you simplify your vertical axis, charts and tables, making them much easier to understand.

4. What are some common mistakes presenters make when presenting data?

One common mistake is trying to fit too much data into a single chart, which can distort the information and confuse the audience. Another mistake is not considering the needs of the audience. Remember that your audience won't have the same level of familiarity with the data as you do, so it's essential to present the data effectively and respond to questions during a Q&A session.

5. How can I use data visualization to present important data effectively on platforms like LinkedIn?

When presenting data on platforms like LinkedIn, consider using eye-catching visuals like bar graphs or charts. Use concise captions and e.g., examples to highlight the single most important information in your data report. Visuals, such as graphs and tables, can help you stand out in the sea of textual content, making your data presentation more engaging and shareable among your LinkedIn connections.

Create your data presentation with prezent

Prezent can be a valuable tool for creating data presentations. Here's how Prezent can help you in this regard:

• Time savings : Prezent saves up to 70% of presentation creation time, allowing you to focus on data analysis and insights.
• On-brand consistency : Ensure 100% brand alignment with Prezent's brand-approved designs for professional-looking data presentations.
• Effortless collaboration : Real-time sharing and collaboration features make it easy for teams to work together on data presentations.
• Data storytelling : Choose from 50+ storylines to effectively communicate data insights and engage your audience.
• Personalization : Create tailored data presentations that resonate with your audience's preferences, enhancing the impact of your data.

In summary, Prezent streamlines the process of creating data presentations by offering time-saving features, ensuring brand consistency, promoting collaboration, and providing tools for effective data storytelling. Whether you need to present data to clients, stakeholders, or within your organization, Prezent can significantly enhance your presentation-making process.

So, go ahead, present your data with confidence, and watch your audience be wowed by your expertise.

Thank you for joining us on this data-driven journey. Stay tuned for more insights, and remember, data presentation is your ticket to making numbers come alive! Sign up for our free trial or book a demo ! ‍

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A Guide to Effective Data Presentation

Key objectives of data presentation, charts and graphs for great visuals, storytelling with data, visuals, and text, audiences and data presentation, the main idea in data presentation, storyboarding and data presentation, additional resources, data presentation.

Tools for effective data presentation

Financial analysts are required to present their findings in a neat, clear, and straightforward manner. They spend most of their time working with spreadsheets in MS Excel, building financial models , and crunching numbers. These models and calculations can be pretty extensive and complex and may only be understood by the analyst who created them. Effective data presentation skills are critical for being a world-class financial analyst .

It is the analyst’s job to effectively communicate the output to the target audience, such as the management team or a company’s external investors. This requires focusing on the main points, facts, insights, and recommendations that will prompt the necessary action from the audience.

One challenge is making intricate and elaborate work easy to comprehend through great visuals and dashboards. For example, tables, graphs, and charts are tools that an analyst can use to their advantage to give deeper meaning to a company’s financial information. These tools organize relevant numbers that are rather dull and give life and story to them.

Here are some key objectives to think about when presenting financial analysis:

• Visual communication
• Audience and context
• Charts, graphs, and images
• Focus on important points
• Design principles
• Storytelling
• Persuasiveness

For a breakdown of these objectives, check out Excel Dashboards & Data Visualization course to help you become a world-class financial analyst.

Charts and graphs make any financial analysis readable, easy to follow, and provide great data presentation. They are often included in the financial model’s output, which is essential for the key decision-makers in a company.

The decision-makers comprise executives and managers who usually won’t have enough time to synthesize and interpret data on their own to make sound business decisions. Therefore, it is the job of the analyst to enhance the decision-making process and help guide the executives and managers to create value for the company.

When an analyst uses charts, it is necessary to be aware of what good charts and bad charts look like and how to avoid the latter when telling a story with data.

Examples of Good Charts

As for great visuals, you can quickly see what’s going on with the data presentation, saving you time for deciphering their actual meaning. More importantly, great visuals facilitate business decision-making because their goal is to provide persuasive, clear, and unambiguous numeric communication.

For reference, take a look at the example below that shows a dashboard, which includes a gauge chart for growth rates, a bar chart for the number of orders, an area chart for company revenues, and a line chart for EBITDA margins.

To learn the step-by-step process of creating these essential tools in MS Excel, watch our video course titled “ Excel Dashboard & Data Visualization .”  Aside from what is given in the example below, our course will also teach how you can use other tables and charts to make your financial analysis stand out professionally.

Learn how to build the graph above in our Dashboards Course !

Example of Poorly Crafted Charts

A bad chart, as seen below, will give the reader a difficult time to find the main takeaway of a report or presentation, because it contains too many colors, labels, and legends, and thus, will often look too busy. It also doesn’t help much if a chart, such as a pie chart, is displayed in 3D, as it skews the size and perceived value of the underlying data. A bad chart will be hard to follow and understand.

Aside from understanding the meaning of the numbers, a financial analyst must learn to combine numbers and language to craft an effective story. Relying only on data for a presentation may leave your audience finding it difficult to read, interpret, and analyze your data. You must do the work for them, and a good story will be easier to follow. It will help you arrive at the main points faster, rather than just solely presenting your report or live presentation with numbers.

The data can be in the form of revenues, expenses, profits, and cash flow. Simply adding notes, comments, and opinions to each line item will add an extra layer of insight, angle, and a new perspective to the report.

Furthermore, by combining data, visuals, and text, your audience will get a clear understanding of the current situation,  past events, and possible conclusions and recommendations that can be made for the future.

The simple diagram below shows the different categories of your audience.

  This chart is taken from our course on how to present data .

Internal Audience

An internal audience can either be the executives of the company or any employee who works in that company. For executives, the purpose of communicating a data-filled presentation is to give an update about a certain business activity such as a project or an initiative.

Another important purpose is to facilitate decision-making on managing the company’s operations, growing its core business, acquiring new markets and customers, investing in R&D, and other considerations. Knowing the relevant data and information beforehand will guide the decision-makers in making the right choices that will best position the company toward more success.

External Audience

An external audience can either be the company’s existing clients, where there are projects in progress, or new clients that the company wants to build a relationship with and win new business from. The other external audience is the general public, such as the company’s external shareholders and prospective investors of the company.

When it comes to winning new business, the analyst’s presentation will be more promotional and sales-oriented, whereas a project update will contain more specific information for the client, usually with lots of industry jargon.

Audiences for Live and Emailed Presentation

A live presentation contains more visuals and storytelling to connect more with the audience. It must be more precise and should get to the point faster and avoid long-winded speech or text because of limited time.

In contrast, an emailed presentation is expected to be read, so it will include more text. Just like a document or a book, it will include more detailed information, because its context will not be explained with a voice-over as in a live presentation.

When it comes to details, acronyms, and jargon in the presentation, these things depend on whether your audience are experts or not.

Every great presentation requires a clear “main idea”. It is the core purpose of the presentation and should be addressed clearly. Its significance should be highlighted and should cause the targeted audience to take some action on the matter.

An example of a serious and profound idea is given below.

To communicate this big idea, we have to come up with appropriate and effective visual displays to show both the good and bad things surrounding the idea. It should put emphasis and attention on the most important part, which is the critical cash balance and capital investment situation for next year. This is an important component of data presentation.

The storyboarding below is how an analyst would build the presentation based on the big idea. Once the issue or the main idea has been introduced, it will be followed by a demonstration of the positive aspects of the company’s performance, as well as the negative aspects, which are more important and will likely require more attention.

Various ideas will then be suggested to solve the negative issues. However, before choosing the best option, a comparison of the different outcomes of the suggested ideas will be performed. Finally, a recommendation will be made that centers around the optimal choice to address the imminent problem highlighted in the big idea.

This storyboard is taken from our course on how to present data .

To get to the final point (recommendation), a great deal of analysis has been performed, which includes the charts and graphs discussed earlier, to make the whole presentation easy to follow, convincing, and compelling for your audience.

CFI offers the Business Intelligence & Data Analyst (BIDA)® certification program for those looking to take their careers to the next level. To keep learning and developing your knowledge base, please explore the additional relevant resources below:

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It is the simplest form of data Presentation often used in schools or universities to provide a clearer picture to students, who are better able to capture the concepts effectively through a pictorial Presentation of simple data.

2. Column chart

It is a simplified version of the pictorial Presentation which involves the management of a larger amount of data being shared during the presentations and providing suitable clarity to the insights of the data.

3. Pie Charts

Pie charts provide a very descriptive & a 2D depiction of the data pertaining to comparisons or resemblance of data in two separate fields.

4. Bar charts

A bar chart that shows the accumulation of data with cuboid bars with different dimensions & lengths which are directly proportionate to the values they represent. The bars can be placed either vertically or horizontally depending on the data being represented.

5. Histograms

It is a perfect Presentation of the spread of numerical data. The main differentiation that separates data graphs and histograms are the gaps in the data graphs.

6. Box plots

Box plot or Box-plot is a way of representing groups of numerical data through quartiles. Data Presentation is easier with this style of graph dealing with the extraction of data to the minutes of difference.

Map Data graphs help you with data Presentation over an area to display the areas of concern. Map graphs are useful to make an exact depiction of data over a vast case scenario.

All these visual presentations share a common goal of creating meaningful insights and a platform to understand and manage the data in relation to the growth and expansion of one’s in-depth understanding of data & details to plan or execute future decisions or actions.

Importance of Data Presentation

Data Presentation could be both can be a deal maker or deal breaker based on the delivery of the content in the context of visual depiction.

Data Presentation tools are powerful communication tools that can simplify the data by making it easily understandable & readable at the same time while attracting & keeping the interest of its readers and effectively showcase large amounts of complex data in a simplified manner.

If the user can create an insightful presentation of the data in hand with the same sets of facts and figures, then the results promise to be impressive.

There have been situations where the user has had a great amount of data and vision for expansion but the presentation drowned his/her vision.

To impress the higher management and top brass of a firm, effective presentation of data is needed.

Data Presentation helps the clients or the audience to not spend time grasping the concept and the future alternatives of the business and to convince them to invest in the company & turn it profitable both for the investors & the company.

Although data presentation has a lot to offer, the following are some of the major reason behind the essence of an effective presentation:-

• Many consumers or higher authorities are interested in the interpretation of data, not the raw data itself. Therefore, after the analysis of the data, users should represent the data with a visual aspect for better understanding and knowledge.
• The user should not overwhelm the audience with a number of slides of the presentation and inject an ample amount of texts as pictures that will speak for themselves.
• Data presentation often happens in a nutshell with each department showcasing their achievements towards company growth through a graph or a histogram.
• Providing a brief description would help the user to attain attention in a small amount of time while informing the audience about the context of the presentation
• The inclusion of pictures, charts, graphs and tables in the presentation help for better understanding the potential outcomes.
• An effective presentation would allow the organization to determine the difference with the fellow organization and acknowledge its flaws. Comparison of data would assist them in decision making.

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10 Methods of Data Presentation with 5 Great Tips to Practice, Best in 2024

Leah Nguyen • 05 April, 2024 • 13 min read

There are different ways of presenting data, so which one is suited you the most? You can end deathly boring and ineffective data presentation right now with our 10 methods of data presentation . Check out the examples from each technique!

Have you ever presented a data report to your boss/coworkers/teachers thinking it was super dope like you’re some cyber hacker living in the Matrix, but all they saw was a pile of static numbers that seemed pointless and didn't make sense to them?

Understanding digits is rigid . Making people from non-analytical backgrounds understand those digits is even more challenging.

How can you clear up those confusing numbers in the types of presentation that have the flawless clarity of a diamond? So, let's check out best way to present data. 💎

Table of Contents

• What are Methods of Data Presentations?
• #1 - Tabular

#3 - Pie chart

#4 - bar chart, #5 - histogram, #6 - line graph, #7 - pictogram graph, #8 - radar chart, #9 - heat map, #10 - scatter plot.

• 5 Mistakes to Avoid
• Best Method of Data Presentation

Frequently Asked Questions

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What are Methods of Data Presentation?

The term ’data presentation’ relates to the way you present data in a way that makes even the most clueless person in the room understand. 

Some say it’s witchcraft (you’re manipulating the numbers in some ways), but we’ll just say it’s the power of turning dry, hard numbers or digits into a visual showcase that is easy for people to digest.

Presenting data correctly can help your audience understand complicated processes, identify trends, and instantly pinpoint whatever is going on without exhausting their brains.

Good data presentation helps…

• Make informed decisions and arrive at positive outcomes . If you see the sales of your product steadily increase throughout the years, it’s best to keep milking it or start turning it into a bunch of spin-offs (shoutout to Star Wars👀).
• Reduce the time spent processing data . Humans can digest information graphically 60,000 times faster than in the form of text. Grant them the power of skimming through a decade of data in minutes with some extra spicy graphs and charts.
• Communicate the results clearly . Data does not lie. They’re based on factual evidence and therefore if anyone keeps whining that you might be wrong, slap them with some hard data to keep their mouths shut.
• Add to or expand the current research . You can see what areas need improvement, as well as what details often go unnoticed while surfing through those little lines, dots or icons that appear on the data board.

Methods of Data Presentation and Examples

Imagine you have a delicious pepperoni, extra-cheese pizza. You can decide to cut it into the classic 8 triangle slices, the party style 12 square slices, or get creative and abstract on those slices. 

There are various ways for cutting a pizza and you get the same variety with how you present your data. In this section, we will bring you the 10 ways to slice a pizza - we mean to present your data - that will make your company’s most important asset as clear as day. Let's dive into 10 ways to present data efficiently.

#1 - Tabular 

Among various types of data presentation, tabular is the most fundamental method, with data presented in rows and columns. Excel or Google Sheets would qualify for the job. Nothing fancy.

This is an example of a tabular presentation of data on Google Sheets. Each row and column has an attribute (year, region, revenue, etc.), and you can do a custom format to see the change in revenue throughout the year.

When presenting data as text, all you do is write your findings down in paragraphs and bullet points, and that’s it. A piece of cake to you, a tough nut to crack for whoever has to go through all of the reading to get to the point.

• 65% of email users worldwide access their email via a mobile device.
• Emails that are optimised for mobile generate 15% higher click-through rates.
• 56% of brands using emojis in their email subject lines had a higher open rate.

(Source: CustomerThermometer )

All the above quotes present statistical information in textual form. Since not many people like going through a wall of texts, you’ll have to figure out another route when deciding to use this method, such as breaking the data down into short, clear statements, or even as catchy puns if you’ve got the time to think of them.

A pie chart (or a ‘donut chart’ if you stick a hole in the middle of it) is a circle divided into slices that show the relative sizes of data within a whole. If you’re using it to show percentages, make sure all the slices add up to 100%.

The pie chart is a familiar face at every party and is usually recognised by most people. However, one setback of using this method is our eyes sometimes can’t identify the differences in slices of a circle, and it’s nearly impossible to compare similar slices from two different pie charts, making them the villains in the eyes of data analysts.

Bonus example: A literal ‘pie’ chart! 🥧

The bar chart is a chart that presents a bunch of items from the same category, usually in the form of rectangular bars that are placed at an equal distance from each other. Their heights or lengths depict the values they represent.

They can be as simple as this:

Or more complex and detailed like this example of presentation of data. Contributing to an effective statistic presentation, this one is a grouped bar chart that not only allows you to compare categories but also the groups within them as well.

Similar in appearance to the bar chart but the rectangular bars in histograms don’t often have the gap like their counterparts.

Instead of measuring categories like weather preferences or favourite films as a bar chart does, a histogram only measures things that can be put into numbers.

Teachers can use presentation graphs like a histogram to see which score group most of the students fall into, like in this example above.

Recordings to ways of displaying data, we shouldn't overlook the effectiveness of line graphs. Line graphs are represented by a group of data points joined together by a straight line. There can be one or more lines to compare how several related things change over time. 

On a line chart’s horizontal axis, you usually have text labels, dates or years, while the vertical axis usually represents the quantity (e.g.: budget, temperature or percentage).

A pictogram graph uses pictures or icons relating to the main topic to visualise a small dataset. The fun combination of colours and illustrations makes it a frequent use at schools.

Pictograms are a breath of fresh air if you want to stay away from the monotonous line chart or bar chart for a while. However, they can present a very limited amount of data and sometimes they are only there for displays and do not represent real statistics.

If presenting five or more variables in the form of a bar chart is too stuffy then you should try using a radar chart, which is one of the most creative ways to present data.

Radar charts show data in terms of how they compare to each other starting from the same point. Some also call them ‘spider charts’ because each aspect combined looks like a spider web.

Radar charts can be a great use for parents who’d like to compare their child’s grades with their peers to lower their self-esteem. You can see that each angular represents a subject with a score value ranging from 0 to 100. Each student’s score across 5 subjects is highlighted in a different colour.

If you think that this method of data presentation somehow feels familiar, then you’ve probably encountered one while playing Pokémon .

A heat map represents data density in colours. The bigger the number, the more colour intense that data will be represented.

Most U.S citizens would be familiar with this data presentation method in geography. For elections, many news outlets assign a specific colour code to a state, with blue representing one candidate and red representing the other. The shade of either blue or red in each state shows the strength of the overall vote in that state.

Another great thing you can use a heat map for is to map what visitors to your site click on. The more a particular section is clicked the ‘hotter’ the colour will turn, from blue to bright yellow to red.

If you present your data in dots instead of chunky bars, you’ll have a scatter plot. 

A scatter plot is a grid with several inputs showing the relationship between two variables. It’s good at collecting seemingly random data and revealing some telling trends.

For example, in this graph, each dot shows the average daily temperature versus the number of beach visitors across several days. You can see that the dots get higher as the temperature increases, so it’s likely that hotter weather leads to more visitors.

5 Data Presentation Mistakes to Avoid

#1 - assume your audience understands what the numbers represent.

You may know all the behind-the-scenes of your data since you’ve worked with them for weeks, but your audience doesn’t.

Showing without telling only invites more and more questions from your audience, as they have to constantly make sense of your data, wasting the time of both sides as a result.

While showing your data presentations, you should tell them what the data are about before hitting them with waves of numbers first. You can use interactive activities such as polls , word clouds , online quiz and Q&A sections , combined with icebreaker games , to assess their understanding of the data and address any confusion beforehand.

#2 - Use the wrong type of chart

Charts such as pie charts must have a total of 100% so if your numbers accumulate to 193% like this example below, you’re definitely doing it wrong.

Before making a chart, ask yourself: what do I want to accomplish with my data? Do you want to see the relationship between the data sets, show the up and down trends of your data, or see how segments of one thing make up a whole?

Remember, clarity always comes first. Some data visualisations may look cool, but if they don’t fit your data, steer clear of them. 

#3 - Make it 3D

3D is a fascinating graphical presentation example. The third dimension is cool, but full of risks.

Can you see what’s behind those red bars? Because we can’t either. You may think that 3D charts add more depth to the design, but they can create false perceptions as our eyes see 3D objects closer and bigger than they appear, not to mention they cannot be seen from multiple angles.

#4 - Use different types of charts to compare contents in the same category

This is like comparing a fish to a monkey. Your audience won’t be able to identify the differences and make an appropriate correlation between the two data sets. 

Next time, stick to one type of data presentation only. Avoid the temptation of trying various data visualisation methods in one go and make your data as accessible as possible.

#5 - Bombard the audience with too much information

The goal of data presentation is to make complex topics much easier to understand, and if you’re bringing too much information to the table, you’re missing the point.

The more information you give, the more time it will take for your audience to process it all. If you want to make your data understandable and give your audience a chance to remember it, keep the information within it to an absolute minimum. You should set your session with open-ended questions , to avoid dead-communication!

What are the Best Methods of Data Presentation?

Finally, which is the best way to present data?

The answer is…

There is none 😄 Each type of presentation has its own strengths and weaknesses and the one you choose greatly depends on what you’re trying to do. 

For example:

• Go for a scatter plot if you’re exploring the relationship between different data values, like seeing whether the sales of ice cream go up because of the temperature or because people are just getting more hungry and greedy each day?
• Go for a line graph if you want to mark a trend over time. 
• Go for a heat map if you like some fancy visualisation of the changes in a geographical location, or to see your visitors' behaviour on your website.
• Go for a pie chart (especially in 3D) if you want to be shunned by others because it was never a good idea👇

What is chart presentation?

A chart presentation is a way of presenting data or information using visual aids such as charts, graphs, and diagrams. The purpose of a chart presentation is to make complex information more accessible and understandable for the audience.

When can I use charts for presentation?

Charts can be used to compare data, show trends over time, highlight patterns, and simplify complex information.

Why should use charts for presentation?

You should use charts to ensure your contents and visual look clean, as they are the visual representative, provide clarity, simplicity, comparison, contrast and super time-saving!

What are the 4 graphical methods of presenting data?

Histogram, Smoothed frequency graph, Pie diagram or Pie chart, Cumulative or ogive frequency graph, and Frequency Polygon.

Leah Nguyen

Words that convert, stories that stick. I turn complex ideas into engaging narratives - helping audiences learn, remember, and take action.

Tips to Engage with Polls & Trivia

More from AhaSlides

Mastering the Art of Presenting Data in PowerPoint

Presenting data in PowerPoint is easy. However, making it visually appealing and effective takes more time and effort. It’s not hard to bore your audience with the same old data presentation formats. So, there is one simple golden rule: Make it not boring.

When used correctly, data can add weight, authority, and punch to your message. It should support and highlight your ideas, making a concept come to life. But this begs the question: How to present data in PowerPoint?

After talking to our 200+ expert presentation designers, I compiled information about their best-kept secrets to presenting data in PowerPoint. 

Below, I’ll show our designers ' favorite ways to add data visualization for global customers and their expert tips for making your data shine. Read ahead and master the art of data visualization in PowerPoint!

Feel free to explore sections to find what's most useful!

How to present data in PowePoint: a step-by-step guide

Creative ways to present data in powerpoint.

• Tips for data visualization

Seeking to optimize your presentations? – 24Slides designers have got you covered!

How you present your data can make or break your presentation. It can make it stand out and stick with your audience, or make it fall flat from the go.

It’s not enough to just copy and paste your data into a presentation slide. Luckily, PowerPoint has many smart data visualization tools! You only need to put in your numbers, and PowerPoint will work it up for you.

Follow these steps, and I guarantee your presentations will level up!

1. Collect your data

First things first, and that is to have all your information ready. Especially for long business presentations, there can be a lot of information to consider when working on your slides. Having it all organized and ready to use will make the whole process much easier to go through.

Consider where your data comes from, whether from research, surveys, or databases. Make sure your data is accurate, up-to-date, and relevant to your presentation topic.

Your goal will be to create clear conclusions based on your data and highlight trends.

2. Know your audience

Knowing who your audience is and the one thing you want them to get from your data is vital. If you don’t have any idea where to start, you can begin with these key questions:

• What impact do you want your data to make on them?
• Is the subject of your presentation familiar to them?
• Are they fellow sales professionals?
• Are they interested in the relationships in the data you’re presenting?

By answering these, you'll be able to clearly understand the purpose of your data. As a storyteller, you want to capture your audience’s attention.

3. Choose a data visualization option

One key to data visualization in PowerPoint is being aware of your choices and picking the best one for your needs. This depends on the type of data you’re trying to showcase and your story.

When showcasing growth over time, you won’t use a spider chart but a line chart. If you show percentages, a circle graph will probably work better than a timeline. As you can see, knowing how to work with charts, graphs, and tables can level up your presentation.

Later, we’ll review some of the most common tools for data visualization in PowerPoint. This will include what these graphs and charts are best for and how to make the most of each. So read ahead for more information about how to present data in PowerPoint!

4. Be creative!

PowerPoint can assist with creating graphs and charts, but it's up to you to perfect them. Take into account that PowerPoint has many options. So, don't be afraid to think outside the box when presenting your data.

To enhance your presentation design, try out different color schemes, fonts, and layouts. Add images, icons, and visual elements to highlight your ideas.

If this sounds complicated to you, there's no need to worry. At the end of this article, you’ll find some easy tips for upgrading your data visualization design!

At this point, you might wonder: what is the best way to present data in PowerPoint? Well, let me tell you: it's all about charts. To accomplish a polished presentation, you must use charts instead of words. When visualizing quantitative data, a picture is worth a thousand words.

Based on +10 years of expertise, we've identified key chart types and creative ways to work with them. Let's delve into each one!

Line Charts

Line charts are a classic, which can make them boring. However, if done correctly, they can be striking and effective. But where does their popularity come from? Here's the answer: Line charts work great to show changes over time.

Another critical difference is that line charts are accumulative. For example, you can join them to a column chart to show different data at a glance. They allow data visualization effectively, making it easier to figure out.

To make the most of them, mastering how to work with line charts is essential. But there is good news: you will have a lot of freedom to customize them!

Download our Free Line Chart Template here .

Bar and column charts

Bar and column charts are another classic choice. Again, they are simple and great for comparing different categories. They organize them around two axes: one shows numbers, and the other shows what we want to compare.

But when should you use a bar chart or a column chart? A bar chart is better when comparing different categories and having long labels. A column chart, on the other hand, is better if you have a few categories and want to show changes over time.

You also have the waterfall option, which is perfect for highlighting the difference between gains and losses. It also adds a dynamic touch to your presentation!

Unsure how to implement these charts? Here's how to add a bar or a column chart in PowerPoint.

Download our Bar and Column Chart Template here .

Venn diagram

Venn diagrams are definitely something to consider when discussing data visualization—even if its focus is not quantitative data! Venn diagrams are best for showcasing similarities and differences between two (or more) categories or products. 

By using overlapping circles, you can quickly and easily see common features between separate ideas. The shared space of the circles shows what is the same between the groups. However, items in the outer parts of each circle show what isn’t a common trait.

They make complex relationships easy to understand. Now, you only need to know how to create a Venn diagram in PowerPoint —quite simple!

Download our Free Venn Diagram Template here .

Pie charts are a great way to show different percentages of a whole. They immediately identify the largest and smallest values. This means that they are great options for drawing attention to differences between one group and another.

However, many people misuse pie charts by overpacking them. As a rule, keep the chart to six or fewer sections. That way, the data is striking, not confusing. Then, make the pie chart your own with small, individual details and designs.

Once again, the powerful presentation of data is in simplicity.

Are you considering incorporating it into your presentation? Here’s how to easily add a pie chart in PowerPoint.

Download our Free Pie Chart Template here .

Bubble Charts

Bubble charts playfully present data in an incredibly visual way. But, what makes them so unique? It's easy: they show different values through varying circle sizes.

Squeezed together, the circles also show a holistic viewpoint. Bigger bubbles catch the eye, while small bubbles illustrate how the data breaks down into smaller values. ¿The result? A presentation of data in a visual form.

It can be one of the most graphic ways to represent the spending distribution. For example, you can instantly see your biggest costs or notice how important finances are getting lost in a sea of bubbles. This quick analysis can be incredibly handy.

Download our Free Bubble Chart Template here .

Maps are the go-to solution for presenting geographic information . They help put data in a real-world context. You usually take a blank map and use color for the important areas.

Blocks, circles, or shading represent value. Knowing where certain data is can be crucial. A consistent color scheme makes it easy to show how valuable each section is.

They also work great when paired with other forms of data visualization. For example, you can use pie charts to provide information about offices in different cities around the world or bar charts to compare revenue in different locations.

Download our Free World Map Template here .

If you want to display chronological data, you must use a timeline. It’s the most effective and space-efficient way to show time passage.

They make it easy for your audience to understand the sequence of events with clear and concise visuals.

You can use timelines to show your company’s history or significant events that impacted your business. Like maps, you can easily mix them with other types of data visuals. This characteristic allows you to create engaging presentations that tell a comprehensive story.

At this point, it's a matter of understanding how to add a timeline correctly in PowerPoint . Spoiler: it's incredibly easy.

Download our Free Timeline Chart Template here .

Flowcharts, like timelines, represent a succession of events. The main difference is that timelines have determined start and finish points and specific dates. Flowcharts, on the other hand, show the passing from one step to the next.

They are great for showing processes and info that need to be in a specific order. They can also help you communicate cause-and-effect information in a visually engaging way.

Their best feature is that (unlike timelines) they can also be circular, meaning this is a recurrent process. All you need now is to become familiar with creating a flowchart in PowerPoint .

Download our Free Flowchart Template here .

5 Tips for data visualization in PowerPoint

Knowing how to present data in PowerPoint presentations is not hard, but it takes time to master it. After all, practice makes perfect!

I've gathered insights from our 200+ expert designers , and here are the top five tips they suggest for enhancing your data presentations!

1. Keep it simple

Don’t overload your audience with information. Let the data speak for itself. If you write text below a chart, keep it minimalist and highlight the key figures. The important thing in a presentation is displaying data in a clear and digestible way.

Put all the heavy facts and figures in a report, but never on a PowerPoint slide.

You can even avoid charts altogether to keep it as simple as possible. And don't get me wrong. We've already covered that charts are the way to go for presenting data in PowerPoint, but there are a few exceptions.

This begs the question: when shouldn't you use charts in PowerPoint? The answer is quite short. If your data is simple or doesn't add much value to your presentation, you might want to skip using charts.

2. Be original

One of the best ways to make your data impactful is originality. Take time to think about how you could present information uniquely. Think of a whole new concept and play around with it. Even if it’s not yet perfect, people will appreciate the effort to be original.

Experiment with creative ways to present your data, adding storytelling techniques , unique design elements, or interactive features. This approach can make the data more appealing and captivating for your audience.

You can even mix up how to present data in PowerPoint. Instead of just one format, consider using two different types of data presentation on a single slide. For instance, try placing a bar chart on the left and a pie chart showcasing different data on the right.

3. Focus on your brand

Keeping your presentation on-brand can genuinely make you stand out from the crowd! Even if you just focus on your brand’s color scheme, it will make your presentation look more polished and professional. 

Have fun experimenting with data visualization tools to ensure they match your company’s products and services. What makes you different from others?

Add your brand's style into your visualization to ensure brand consistency and recognition. Use colors, fonts, and logos aligned with your company's image.

You can even make a presentation that more subtly reflects your brand. Think of what values you want to associate with your company and how you can display these in your presentation design.

4. Highlight key information

Not distracting your audience nicely brings us to our third point: Highlight key information. Being detailed and informative is important, but grabbing and keeping the audience's attention is crucial.

Presenting numbers in PowerPoint can be difficult, but it doesn’t must be. Make your audience listen to the bigger message of your words, not just the exact details. All the smaller particulars can be confirmed later.

Your listeners don’t want to know the facts and figures to the nearest decimal. They want the whole number, which is easy to spot and understand.

The meaning of the number is more important than its numerical value. Is it high or low? Positive or negative? Good or bad for business? These are the questions to which you want the answers to be clear.

Using colors is an excellent way to work with this. Colors are also a great visual tool to showcase contrast. For example, when you're working on a graph to display your revenue, you can showcase expenses in red and earnings in green. This kind of color-coding will make your data visualization clear from first sight!

5. Use Templates!

Presentation templates can be your best friend when you want to present data effectively in PowerPoint.

They offer pre-designed layouts and styles that can ensure consistency throughout your presentation. Templates allow you to adjust colors, fonts, and layouts to match your branding or personal preferences.

Microsoft Office has its own library of templates, but you can also find some pretty amazing ones online. Take some extra time to search and pick one that truly fits your needs and brand. 

¿The good news? Our Templates by 24Slides platform has hundreds of PowerPoint chart templates, all completely free for you to use . You can even download different templates and mix and match slides to make the perfect deck. All are entirely editable, so you can add your own data and forget about design.

If you liked the look of some examples in this article, you might be in luck! Most are part of these, and you can also find them on our Templates platform.

In this article, I've shown why knowing how to present data efficiently in PowerPoint is crucial. Data visualization tools are a must to ensure your message is clear and that it sticks with your audience.

However, achieving results that really stand out could be a huge challenge for beginners.  So, If you want to save time and effort on the learning curve of presenting data in PowerPoint, you can always trust professionals!

With 10+ years of experience and more than 200 designers worldwide, we are the world’s largest presentation design company across the globe.

24Slides' professional PowerPoint designers work with businesses worldwide, helping them transform their presentations from ‘okay’ to ‘spectacular.’ With each presentation, we're crafting a powerful tool to captivate audiences and convey messages effectively!

Looking to boost your PowerPoint game? Check out this content:

• PowerPoint 101: The Ultimate Guide for Beginners
• How to Create the Perfect B2B Sales Presentation
• The Ultimate Brand Identity Presentation Guide [FREE PPT Template]
• 7 Essential Storytelling Techniques for your Business Presentation
• The Cost of PowerPoint Presentations: Discover the hidden expenses you might overlook!

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How to Present Data Effectively

You’re sitting in front of your computer and ready to put together a presentation involving data.   The numbers stare at you from your screen, jumbled and raw.   How do you start?   Numbers on their own can be difficult to digest. Without any context, they’re just that—numbers.   But organize them well and they tell a story.   In this blog post, we’ll go into the importance of structuring data in a presentation and provide tips on how to do it well. These tips are practical and applicable for all sorts of presentations—from marketing plans and medical breakthroughs to project proposals and portfolios. 

What is data presentation?

3 essential tips on data presentation, use the right chart, keep it simple, use text wisely and sparingly.

In many ways, data presentation is like storytelling—only you do them with a series of graphs and charts.  One of the most common mistakes presenters make is being so submerged in the data that they fail to view it from an outsider’s point of view.   Always keep this in mind: What makes sense to you may not make sense to your audience. To portray figures and statistics in a way that’s comprehensible to your viewers, step back, put yourself in their shoes, and consider the following: 

• How much do they know about the topic?
• How much information will they need?
• What data will impress them?

Providing a context helps your audience visualize and understand the numbers. To help you achieve that, here are three tips on how to represent data effectively.  

Whether you’re using Google Slides or PowerPoint, both come equipped with a range of design tools that help you help your viewers make sense of your qualitative data.  The key here is to know how to use them and how to use them well. In these tips, we’ll cover the basics of data presentation that are often overlooked but also go beyond basics for more professional advice. 

The downside of having too many tools at your disposal is that it makes selecting an uphill task.   Pie and bar charts are by far the most commonly used methods as they are versatile and easy to understand. 

If you’re looking to kick things up a notch, think outside the box. When the numbers allow for it, opt for something different. For example, donut charts can sometimes be used to execute the same effect as pie charts. 

But these conventional graphs and charts aren’t applicable to all types of data. For example, if you’re comparing numerous variables and factors, a bar chart would do no good. A table, on the other hand, offers a much cleaner look.

Pro tip : If you want to go beyond basics, create your own shapes and use their sizes to reflect proportion, as seen in this next image.

Their sizes don’t have to be an exact reflection of their proportions. What’s important here is that they’re discernible and are of the same shape so that your viewers can grasp its concept at first glance.  Note that this should only be used for comparisons with large enough contrasts. For instance, it’d be difficult to use this to compare two market sizes of 25 percent and 26 percent. 

When it comes to making qualitative data digestible, simplicity does the trick.  Limit the number of elements on the slide as much as possible and provide only the bare essentials. 

See how simple this slide is? In one glance, your eye immediately goes to the percentages of the donut because there are no text boxes, illustrations, graphics, etc. to distract you.  Sometimes, more context is needed for your numbers to make sense. In the spirit of keeping your slides neat, you may be tempted to spread the data across two slides. But that makes it complicated, so putting it all on one slide is your only option.  In such cases, our mantra of “keep it simple” still applies. The trick lies in neat positioning and clever formatting.  

In the above slides, we’ve used boxes to highlight supporting figures while giving enough attention to the main chart. This separates them visually and helps the audience focus better.  With the slide already pretty full, it’s crucial to use a plain background or risk overwhelming your viewers.  

Last but certainly not least, our final tip involves the use of text.  Just because you’re telling a story with numbers doesn’t mean text cannot be used. In fact, the contrary proves true: Text plays a vital role in data presentation and should be used strategically.  To highlight a particular statistic, do not hesitate to go all out and have that be the focal point of your slide for emphasis. Keep text to a minimum and as a supporting element. 

Make sure your numbers are formatted clearly. Large figures should have thousands separated with commas. For example, 4,498,300,000 makes for a much easier read than “4498300000”. Any corresponding units should also be clear.  With data presentation, don’t forget that numbers are still your protagonist, so they must be highlighted with a larger or bolder font.  Where there are numbers and graphics, space is scarce so every single word must be chosen wisely.   The key here is to ensure your viewers understand what your data represents in one glance but to leave it sufficiently vague, like a teaser, so that they pay attention to your speech for more information.  → Slidesgo’s free presentation templates come included with specially designed and created charts and graphs that you can easily personalize according to your data. Give them a try now! 

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9 Data Presentation Tools for Business Success

• By Judhajit Sen
• May 29, 2024

A data presentation is a slide deck that shares quantitative information with an audience using visuals and effective presentation techniques . The goal is to make complex data easily understandable and actionable using data presentation examples like graphs and charts, tables, dashboards, and clear text explanations. 

Data presentations help highlight trends, patterns, and insights, allowing the audience to grasp complicated concepts or trends quickly. This makes it easier for them to make informed decisions or conduct deeper analysis.

Data visualization in presentations is used in every field, from academia to business and industry. Raw data is often too complex to understand directly, so data analysis breaks it down into charts and graphs. These tools help turn raw data into useful information.

Once the information is extracted, it’s presented graphically. A good presentation can significantly enhance understanding and response.

Think of data presentation as storytelling in business presentations with charts. A common mistake is assuming the audience understands the data as well as the presenter. Always consider your audience’s knowledge level and what information they need when you present your data.

To present the data effectively:

1. Provide context to help the audience understand the numbers.

2. Compare data groups using visual aids.

3. Step back and view the data from the audience’s perspective.

Data presentations are crucial in nearly every industry, helping professionals share their findings clearly after analyzing data.

Key Takeaways

• Simplifying Complex Data: Data presentations turn complex data into easy-to-understand visuals and narratives, helping audiences quickly grasp trends and insights for informed decision-making.
• Versatile Tools: Various tools like bar charts, dashboards, pie charts, histograms, scatter plots, pictograms, textual presentations, and tables each serve unique purposes, enhancing the clarity and impact of the data.
• Audience Consideration: Tailor your presentation to the audience’s knowledge level, providing context and using simple visuals to make the information accessible and actionable.
• Effective Data Storytelling: Combining clear context, organized visuals, and thoughtful presentation ensures that the data’s story is conveyed effectively, supporting better business decisions and success.

Following are 9 data presentation tools for business success.

Bar charts are a simple yet powerful method of presentation of the data using rectangular bars to show quantities or frequencies. They make it easy to spot patterns or trends at a glance. Bar charts can be vertical (column charts) or horizontal, depending on how you want to display your data.

In a bar graph, categories are displayed on one axis, usually the x-axis for vertical charts and the y-axis for horizontal ones. The bars’ lengths represent the values or frequencies of these categories, with the scale marked on the opposite axis.

These charts are ideal for comparing data across different categories or showing trends over time. Each bar’s height (or length in a horizontal chart) is directly proportional to the value it represents. This visual representation helps illustrate differences or changes in data.

Bar charts are versatile tools in business reports, academic presentations, and more. To make your bar charts effective:

• Ensure they are concise and have easy-to-read labels.
• Avoid clutter by not including too many categories, making the chart hard to read.
• Keep it simple to maintain clarity and impact, whether your bars go up or sideways.

Line Graphs

Line graphs show how data changes over time or with continuous variables. They connect points of data with straight lines, making it easy to see trends and fluctuations. These graphs are handy when comparing multiple datasets over the same timeline.

Using line graphs, you can track things like stock prices, sales projections, or experimental results. The x-axis represents time or another continuous variable, while the y-axis shows the data values. This setup allows you to understand the ups and downs in the data quickly.

To make your graphs effective, keep them simple. Avoid overcrowding with too many lines, highlight significant changes, use labels, and give your graph a clear, catchy title. This will help your audience grasp the information quickly and easily.

A data dashboard is a data analysis presentation example for analyzing information. It combines different graphs, charts, and tables in one layout to show the information needed to meet one or more objectives. Dashboards help quickly see Key Performance Indicators (KPIs) by displaying visuals you’ve already made in worksheets.

It’s best to keep the number of visuals on a dashboard to three or four. Adding too many can make it hard to see the main points. Dashboards are helpful for business analytics, like analyzing sales, revenue, and marketing metrics. In manufacturing, they help users understand the production scenario and track critical KPIs for each production line.

Dashboards represent vital points of data or metrics in an easy-to-understand way. They are often an  interactive presentation idea , allowing users to drill down into the data or view different aspects of it.

Pie charts are circular graphs divided into parts to show numerical proportions. Each portion represents a part of the whole, making it easy to see each component’s contribution to the total.

The size of each slice is determined by its value relative to the total. A pie chart with more significant points of data will have larger slices, and the whole chart will be more important. However, you can make all pies the same size if proportional representation isn’t necessary.

Pie charts are helpful in business to show percentage distributions, compare category sizes, or present simple data sets where visualizing ratios is essential. They work best with fewer variables. For more variables, it’s better to use a pie chart calculator that helps to create pie charts easily for various data sets with different color slices. 

Each “slice” represents a fraction of the total, and the size of each slice shows its share of the whole. Pie charts are excellent for showing how a whole is divided into parts, such as survey results or demographic data.

While pie charts are great for simple distributions, they can get confusing with too many categories or slight differences in proportions. To keep things clear, label each slice with percentages or values and use a legend if there are many categories. If more detail is needed, consider using a donut chart with a blank center for extra information and a less cluttered look.

A histogram is a graphical presentation of data  to help in understanding the distribution of numerical values. Unlike bar charts that show each response separately, histograms group numeric responses into bins and display the frequency of reactions within each bin. The x-axis denotes the range of values, while the y-axis shows the frequency of those values.

Histograms are useful for understanding your data’s distribution, identifying shared values, and spotting outliers. They highlight the story your data tells, whether it’s exam scores, sales figures, or any other numerical data.

Histograms are great for visualizing the distribution and frequency of a single variable. They divide the data into bins, and the height of each bar indicates how many points of data fall into that bin. This makes it easy to see trends like peaks, gaps, or skewness in your data.

To make your histogram effective, choose bin sizes that capture meaningful patterns. Clear axis labels and titles also help in explaining the data distribution.

Scatter Plot

Using individual data points, a scatter plot chart is a presentation of data in visual form to show the relationship between two variables. Each variable is plotted along the x-axis and y-axis, respectively. Each point on the scatter plot represents a single observation.

Scatter plots help visualize patterns, trends, and correlations between the two variables. They can also help identify outliers and understand the overall distribution of data points. The way the points are spread out or clustered together can indicate whether there is a positive, negative, or no clear relationship between the variables.

Scatter plots can be used in practical applications, such as in business, to show how variables like marketing cost and sales revenue are related. They help understand data correlations, which aids in decision-making.

To make scatter plots more effective, consider adding trendlines or regression analysis to highlight patterns. Labeling key data points or tooltips can provide additional information and make the chart easier to interpret.

A pictogram is the simplest form of data presentation and analysis, often used in schools and universities to help students grasp concepts more effectively through pictures.

This type of diagram uses images to represent data. For example, you could draw five books to show the number of books sold in the first week of release, with each image representing 1,000 books. If consumers bought 5,000 books, you would display five book images.

Using simple icons or images makes the information visually intuitive. Instead of relying on numbers or complex graphs, pictograms use straightforward symbols to depict data points. For example, a thumbs-up emoji can illustrate customer satisfaction levels, with each emoji representing a different level of satisfaction.

Pictograms are excellent for visual data presentation. Choose symbols that are easy to interpret and relevant to the data to ensure clarity. Consistent scaling and a legend explaining the symbols’ meanings are essential for an effective presentation.

Textual Presentation

Textual presentation uses words to describe the relationships between pieces of information. This method helps share details that can’t be shown in a graph or table. For example, researchers often present findings in a study textually to provide extra context or explanation. A textual presentation can make the information more transparent.

This type of presentation is common in research and for introducing new ideas. Unlike charts or graphs, it relies solely on paragraphs and words.

Textual presentation also involves using written content, such as annotations or explanatory text, to explain or complement data. While it doesn’t use visual presentation aids like charts, it is a widely used method for presenting qualitative data. Think of it as the narrative that guides your audience through the data.

Adequate textual data may make complex information more accessible. Breaking down complex details into bullet points or short paragraphs helps your audience understand the significance of numbers and visuals. Headings can guide the reader’s attention and tell a coherent story.

Tabular Presentation

Tabular presentation uses tables to share information by organizing data in rows and columns. This method is useful for comparing data and visualizing information. Researchers often use tables to analyze data in various classifications:

Qualitative classification: This includes qualities like nationality, age, social status, appearance, and personality traits, helping to compare sociological and psychological information.

Quantitative classification: This covers items you can count or number.

Spatial classification: This deals with data based on location, such as information about a city, state, or region.

Temporal classification: This involves time-based data measured in seconds, hours, days, or weeks.

Tables simplify data, making it easily consumable, allow for side-by-side comparisons, and save space in your presentation by condensing information.

Using rows and columns, tabular presentation focuses on clarity and precision. It’s about displaying numerical data in a structured grid, clearly showing individual data points. Tables are invaluable for showcasing detailed data, facilitating comparisons, and presenting exact numerical information. They are commonly used in reports, spreadsheets, and academic papers.

Organize tables neatly with clear headers and appropriate column widths to ensure readability. Highlight important data points or patterns using shading or font formatting. Tables are simple and effective, especially when the audience needs to know precise figures.

Elevate Business Decisions with Effective Data Presentations

Data presentations are essential for transforming complex data into understandable and actionable insights. Data presentations simplify the process of interpreting quantitative information by utilizing data presentation examples like charts, graphs, tables, infographics, dashboards, and clear narratives. This method of storytelling with visuals highlights trends, patterns, and insights, enabling audiences to make informed decisions quickly.

In business, data analysis presentations are invaluable. Different types of presentation tools like bar charts help compare categories and track changes over time, while dashboards consolidate various metrics into a comprehensive view. Pie charts and histograms offer clear views of distributions and proportions, aiding in grasping the bigger picture. Scatter plots reveal relationships between variables, and pictograms make data visually intuitive. Textual presentations and tables provide detailed context and precise figures, which are essential for thorough analysis and comparison.

Consider the audience’s knowledge level to tailor the best way to present data in PowerPoint. Clear context, simple visuals, and thoughtful organization ensure the data’s story is easily understood and impactful. Mastering these nine data presentation types can significantly enhance business success by making data-driven decisions more accessible and practical.

Frequently Asked Questions (FAQs)

1. What is a data presentation?

A data presentation is a slide deck that uses visuals and narrative techniques to make complex data easy to understand and actionable. It includes charts, graphs, tables, infographics, dashboards, and clear text explanations.

2. Why are data presentations important in business?

Data presentations are crucial because they help highlight trends, patterns, and insights, making it easier for the audience to understand complicated concepts. This enables better decision-making and deeper analysis.

3. What types of data presentation tools are commonly used?

Common tools include bar charts, line graphs, dashboards, pie charts, histograms, scatter plots, pictograms, textual presentations, and tables. Each tool has a unique way of representing data to aid understanding.

4. How can I ensure my data presentation is effective?

To ensure effectiveness, provide context, compare data sets using visual aids, consider your audience’s knowledge level, and keep visuals simple. Organizing information thoughtfully and avoiding clutter enhances clarity and impact.

Transform Your Data into Compelling Stories with Prezentium

Unlock the full potential of your business data with Prezentium ‘s expert presentation services. Our AI-powered solutions turn complex data into clear, actionable insights, helping you easily make informed decisions. 

Prezentium’s Overnight Presentations ensure you wake up to a stunning, ready-to-use presentation in your inbox by 9:30 am PST. Send your requirements by 5:30 pm PST, and let our team combine business acumen, visual design, and data science to craft a presentation that highlights trends and insights seamlessly.

Our Presentation Specialists transform raw ideas and meeting notes into captivating presentations. Whether you need new designs or bespoke templates, our experts bring your vision to life with precision and creativity.

Enhance your team’s skills with Zenith Learning, our interactive workshops that blend structured problem-solving with visual storytelling. Learn to present data effectively and make a lasting impact in your business communications.

Prezentium’s services are designed to help you make the most of your data, from bar charts to dashboards, ensuring your presentations are informative and visually engaging. Let us help you tell your data’s story in a way that resonates. Contact Prezentium today to elevate your business presentations.

Why wait? Avail a complimentary 1-on-1 session with our presentation expert. See how other enterprise leaders are creating impactful presentations with us.

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How to Give a Data-Heavy Presentation

• Alexandra Samuel

Tell a clear story with your numbers.

Data storytelling has become a powerful part of the communications toolkit, allowing both journalists and marketers to communicate key messages by using data and data visualization to drive articles, blog posts, and reports. But the power of data storytelling isn’t limited to written communication: you can also use data to deliver presentations that are both more credible and more visually compelling.

• Alexandra Samuel is a tech speaker and data journalist who creates data-driven reports and workshops for companies around the world. She is the co-author of  Remote, Inc.: How to Thrive at Work…Wherever You Are   (with Robert C. Pozen) and the author of HBR’s  Work Smarter With Social Media . Follow her on LinkedIn .

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Types of Data Visualization and Their Uses

In today’s data-first business environment, the ability to convey complex information in an understandable and visually appealing manner is paramount. Different types of data visualization help transform analyzed data into comprehensible visuals for all types of audiences, from novices to experts. In fact, research has shown that the human brain can process images in as little as […]

In today’s data-first business environment, the ability to convey complex information in an understandable and  visually appealing  manner is paramount. Different types of data visualization help transform analyzed data into comprehensible visuals for all types of audiences, from novices to experts. In fact, research has shown that the human brain can process images in as little as 13 milliseconds.

In essence, data visualization is indispensable for distilling complex information into digestible formats that support both  quick comprehension  and informed decision-making. Its role in analysis and reporting underscores its value as a critical tool in any data-centric activity. 

Types of Data Visualization: Charts, Graphs, Infographics, and Dashboards

The diverse landscape of data visualization begins with simple charts and graphs but moves beyond infographics and animated dashboards.  Charts , in their various forms – be it bar charts for comparing quantities across categories or line charts depicting trends over time – serve as efficient tools for data representation. Graphs extend this utility further: Scatter plots reveal correlations between variables, while pie graphs offer a visual slice of proportional relationships within a dataset. 

Venturing beyond these traditional forms,  infographics  emerge as powerful storytelling tools, combining graphical elements with narrative to enlighten audiences on complex subjects. Unlike standard charts or graphs that focus on numerical data representation, infographics can incorporate timelines, flowcharts, and comparative images to weave a more comprehensive story around the data. 

A dashboard, when  effectively designed , serves as an instrument for synthesizing complex data into accessible and actionable insights. Dashboards very often encapsulate a wide array of information, from real-time data streams to historical trends, and present it through an amalgamation of charts, graphs, and indicators. 

A dashboard’s efficacy lies in its ability to tailor the visual narrative to the specific needs and objectives of its audience. By  selectively  filtering and highlighting critical data points, dashboards facilitate a focused analysis that aligns with organizational goals or individual projects. 

The best type of data visualization to use depends on the data at hand and the purpose of its presentation. Whether aiming to highlight trends, compare values, or elucidate complex relationships, selecting the appropriate visual form is crucial for effectively communicating insights buried within datasets. Through thoughtful design and strategic selection among these varied types of visualizations, one can illuminate patterns and narratives hidden within numbers – transforming raw data into meaningful knowledge.   

Other Types of Data Visualization: Maps and Geospatial Visualization  

Utilizing maps and geospatial visualization serves as a powerful method for uncovering and displaying insightful patterns hidden within complex datasets. At the intersection of geography and data analysis, this technique transforms numerical and categorical data into visual formats that are easily interpretable, such as heat maps, choropleths, or symbolic representations on geographical layouts. This approach enables viewers  to quickly grasp spatial relationships, distributions, trends, and anomalies that might be overlooked in traditional tabular data presentations. 

For instance, in public health,  geospatial visualizations  can highlight regions with high incidences of certain diseases, guiding targeted interventions. In environmental studies, they can illustrate changes in land use or the impact of climate change across different areas over time. By embedding data within its geographical context, these visualizations foster a deeper understanding of how location influences the phenomena being studied. 

Furthermore, the advent of interactive web-based mapping tools has enhanced the accessibility and utility of geospatial visualizations. Users can now engage with the data more directly – zooming in on areas of interest, filtering layers to refine their focus, or even contributing their own data points – making these visualizations an indispensable tool for researchers and decision-makers alike who are looking to extract meaningful patterns from spatially oriented datasets. 

Additionally,  scatter plots  excel in revealing correlations between two variables. By plotting data points on a two-dimensional graph, they allow analysts to discern potential relationships or trends that might not be evident from raw data alone. This makes scatter plots a staple in statistical analysis and scientific research where establishing cause-and-effect relationships is crucial. 

Bubble charts take the concept of scatter plots further by introducing a third dimension – typically represented by the size of the bubbles – thereby enabling an even more layered understanding of data relationships. Whether it’s comparing economic indicators across countries or visualizing population demographics, bubble charts provide a dynamic means to encapsulate complex interrelations within datasets, making them an indispensable tool for advanced data visualization. 

Innovative Data Visualization Techniques: Word Clouds and Network Diagrams 

Some innovative techniques have emerged in the realm of data visualization that not only simplify complex datasets but also enhance engagement and understanding. Among these, word clouds and network diagrams stand out for their  unique approaches  to presenting information. 

Word clouds represent textual data with size variations to emphasize the frequency or importance of words within a dataset. This technique transforms qualitative data into a visually appealing format, making it easier to identify dominant themes or sentiments in large text segments.

Network diagrams introduce an entirely different dimension by illustrating relationships between entities. Through nodes and connecting lines, they depict how individual components interact within a system – be it social networks, organizational structures, or technological infrastructures. This visualization method excels in uncovering patterns of connectivity and influence that might remain hidden in traditional charts or tables. 

Purpose and Uses of Each Type of Data Visualization 

The various types of data visualization – from bar graphs and line charts to heat maps and scatter plots – cater to different analytical needs and objectives. Each type is meticulously designed to highlight specific aspects of the data, making it imperative to understand their unique applications and strengths. This foundational knowledge empowers users to select the most effective visualization technique for their specific dataset and analysis goals.

Line Charts: Tracking Changes Over Time  Line charts are quintessential in the realm of data visualization for their simplicity and effectiveness in showcasing trends and changes over time. By connecting individual data points with straight lines, they offer a clear depiction of how values rise and fall across a chronological axis. This makes line charts particularly useful for tracking the evolution of quantities – be it the fluctuating stock prices in financial markets, the ebb and flow of temperatures across seasons, or the gradual growth of a company’s revenue over successive quarters. The visual narrative that line charts provide helps analysts, researchers, and casual observers alike to discern patterns within the data, such as cycles or anomalies.    

Bar Charts and Histograms: Comparing Categories and   Distributions  Bar charts  are highly suitable for representing comparative data. By plotting each category of comparison with a bar whose height or length reflects its value, bar charts make it easy to visualize relative values at a glance.

Histograms  show the distribution of groups of data in a dataset. This is particularly useful for understanding the shape of data distributions – whether they are skewed, normal, or have any outliers. Histograms provide insight into the underlying structure of data, revealing patterns that might not be apparent.  

Pie Charts: Visualizing Proportional Data   Pie charts  serve as a compelling visualization tool for representing proportional data, offering a clear snapshot of how different parts contribute to a whole. By dividing a circle into slices whose sizes are proportional to their quantity, pie charts provide an immediate visual comparison among various categories. This makes them especially useful in illustrating market shares, budget allocations, or the distribution of population segments.

The simplicity of pie charts allows for quick interpretation, making it easier for viewers to grasp complex data at a glance. However, when dealing with numerous categories or when precise comparisons are necessary, the effectiveness of pie charts may diminish. Despite this limitation, their ability to succinctly convey the relative significance of parts within a whole ensures their enduring popularity in data visualization across diverse fields. 

Scatter Plots: Identifying Relationship and Correlations Between Variables Scatter plots  are primarily used for spotting relationships and correlations between variables. These plots show data points related to one variable on one axis and a different variable on another axis. This visual arrangement allows viewers to determine patterns or trends that might indicate a correlation or relationship between the variables in question. 

For instance, if an increase in one variable consistently causes an increase (or decrease) in the other, this suggests a potential correlation. Scatter plots are particularly valuable for preliminary analyses where researchers seek to identify variables that warrant further investigation. Their straightforward yet powerful nature makes them indispensable for exploring complex datasets, providing clear insights into the dynamics between different factors at play. 

Heat Maps: Representing Complex Data Matrices through Color Gradients Heat maps  serve as a powerful tool in representing complex data matrices, using color gradients to convey information that might otherwise be challenging to digest. At their core, heat maps transform numerical values into a visual spectrum of colors, enabling viewers to quickly grasp patterns, outliers, and trends within the data. This method becomes more effective when the complex relationships between multiple variables need to be reviewed.  

For instance, in fields like genomics or meteorology, heat maps can illustrate gene expression levels or temperature fluctuations across different regions and times. By assigning warmer colors to higher values and cooler colors to lower ones, heat maps facilitate an intuitive understanding of data distribution and concentration areas, making them indispensable for exploratory data analysis and decision-making processes.

Dashboards and Infographics: Integrating Multiple Data Visualizations  Dashboards and infographics represent a synergistic approach in data visualization, blending various graphical elements to offer a holistic view of complex datasets.  Dashboards,  with their capacity to integrate multiple data visualizations such as charts, graphs, and maps onto a single interface, are instrumental in monitoring real-time data and tracking performance metrics across different parameters. They serve as an essential tool for decision-makers who require a comprehensive overview to identify trends and anomalies swiftly. 

Infographics, on the other hand, transform intricate data sets into engaging, easily digestible visual stories. By illustrating strong narratives with striking visuals and solid statistics, infographics make complex information easily digestible to any type of audience. 

Together, dashboards and infographics convey multifaceted data insights in an integrated manner – facilitating informed decisions through comprehensive yet clear snapshots of data landscapes.     

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• Presentations

How to Present Data & Numbers in Presentations (Like a Pro)

Data is more important than ever. But do you know how to present data? Your audience needs information in a way that's easy-to-follow. With charts and graphs, data comes to life.

In this tutorial, you'll learn how to present data. The intuitive presentation of data and information is essential so that your point comes across. With our tips, we'll help you take flat data tables and convert them to useful and explanatory charts.

Why Present Data and Numbers With Charts?

Often, you’ll find yourself presenting data in PowerPoint. It’s a useful tool to illustrate data and bring numbers to life. But if you go about it the wrong way, you’ll distract and confuse your audience. Remember, the goal of sharing data is to deliver insights.

When you think of how to present data, you've got several options. Words alone should be an automatic no-no. Clustering numerical data in text paragraphs will confuse an audience. Similarly, tables don’t go far enough.

Consider the example below. While this approach may work for a simple dataset, it’s hard to capture value insights at a glance. Keep in mind, you want a viewer to quickly grasp the fundamental meaning of the data instantly.

That’s why your best option is to present data and numbers with charts. These are two related ways to present data that take a truly visual approach. Charts and graphs are forms of infographics. An infographic is a visual illustration meant to show ideas. They look great, they're easy to read, and they work.

Recent research vividly shows their effectiveness. Infographics are read at a rate of 30:1 over text articles. Pair this with the fact that visual information represents 90% of what transmits to a reader’s brain . Clearly, these are tools to keep in your wheelhouse.

As you can see below, the table data above transforms from a complex table to a clear and concise visual. It’s the identical range of data! The magic happens in the display of it. Charts are the key to success in the presentation of data and information.

How to Present Data and Numbers in Presentations

We’ve learned that the best way to present data is with charts. Now that you’re armed with this knowledge, you've got many options to choose from.

Premium PowerPoint data presentation templates are your best friend. These take the hard work out of building and sharing data charts. They teach you how to present data in presentations with pre-built options. All you need is your dataset!

For our walkthrough tutorial, we’ll use the Chart Presentation template from Envato Elements. It’s a premium option with 24 custom slide designs inside. Each is easy to customize to meet your data presentation needs.

With the template downloaded and opened in PowerPoint, let’s get to work learning how to present data. Follow the principles below, and you’ll be ready to get started!

1. Assess Your Data

Charts come in all shapes and sizes. There are pie charts, column charts, line charts, and many more. All have many uses, but each is targeted towards different types of data. First, you’ll want to assess the data that you have, and how it would best be presented visually. Let’s work with a sample dataset like the one below.

As you can see, the data has several rows, each representing a different country. Beside these are three columns, each covering sales for a given year. In short, you’re looking at three years of sales forecasts for five countries.

Reading over the data, it’s tough to instantly gain any insights. Sure, if you look long enough, trends start to emerge. But this is a slow, manual process. And imagine if there were fifty countries and twelve years, for example!

Manual analysis would become nearly impossible in a presentation setting. But by using a chart, you can instantly illustrate trends and forecasts. Any viewer – even an untrained eye – can readily see all key points with a moment’s glance.

2. Choose a Visual

Now that you’ve analyzed your data, you can easily see that a chart is essential. But what kind? We briefly mentioned three styles of charts. When you think of how to present data in presentation form, the trick is to choose the style that best fits your data.

For our example, we’re looking at multiple data points for several categories. Here, these data points are three sales values, for five countries each. Keep these ideas for how to present numbers in mind:

• A logical visual would group each country together.
• Then, show each of the three sales figures side by side.
• You could also reverse it – group the years and show sales for all five countries.

In a case like this, a column chart is the ideal choice. These group data just as described.

But when might a different chart type be useful? Imagine if your data included details about Germany’s 2024 sales, for example. Suppose you’re presenting to your marketing team, and they’ve asked how sales of each individual product make up the total. Here, a pie chart would be the perfect option. These show how individual pieces form a whole.

But in this case, we’ve decided on a column chart. Find one in the deck, and let’s insert it. In our template, slide #15 contains a beautiful chart. It’s already built. All you need to do is add your own data.

To do that, click into the chart area, then right-click. From the menu, choose Edit Data. You’ll see an embedded Microsoft Excel spreadsheet launch right inside of PowerPoint. From here, you can simply replace the existing data with the table you already have. As you work, the chart instantly updates itself to match the new data.

In moments, you’ll be presenting data in PowerPoint with this beautiful chart!

3. Style Your Visual

With your chart placed on the slide, you now have an array of design options. Remember, the goal is to make the chart work perfectly for your own data. These options primarily live on the Chart Design menu, which you can find on PowerPoint’s ribbon. With the chart selected, click on Chart Design.

The template has a beautiful color palette, but you can add your own. It helps to choose a color profile with plenty of contrast. This makes your visual even clearer and easier to read.

To add a new palette, click on the Change Colors drop-down menu. You’ll see an array of color swatches display. Click on one, and it'll apply to your chart.

You can add a new background by launching the Chart Styles section in the center of the Chart Design menu. For example, you can choose one with a gray background to make the colors really stand out on the slide.

Also, it’s possible to add more context to the data. The horizontal axis in our example is clear enough, listing countries. But there isn’t any explanation of what the vertical axis represents, or the colorful bars. Follow these steps:

• Open the Add Chart Element dropdown near the upper left of the ribbon.
• Click  Axis Titles.
• Choose Primary Vertical.
• You’ll see Axis Title appear on the chart. This is a text box, which you can select and type into.

Finally, back on the Add Chart Element dropdown, choose Legend , and pick a location like Top . Three colorful squares listing the three years shown in the chart will be added to the drawing. These labels aid in the presentation of data and information.

It’s easy to see how to present numbers in chart form, using PowerPoint. Start with a premium template like this, and then customize the chart inside to fit your needs.

4. Add Notes Where Needed

You now know well that charts are the best way to present data. But they don’t have to stand on their own!

Often, it’s useful to add more context. Audiences may understand the data perfectly but have questions. For example: Why are sales for one country climbing, while they are falling in another?

By adding notes where needed, you can add supporting details. It’s best to keep these off of the chart itself. If you clutter up your visual, the value of it diminishes rapidly. Check out an improved example below.

On our slide example, the paragraph section on the left may become a series of quick bullet points. These add supporting details that more fully explain the data shown in the chart.

Again, you may not always need to do this. But never think that a chart must be all-encompassing, explaining every piece of information by itself. The trick is to boost understanding, while remaining clear and concise.

5. Consider an Appendix

You may have extra details that you need to include in your slides.

In our example, imagine that you've got three sales offices in each of the five countries featured. Each of the fifteen makes up a certain percentage of overall sales. This may be key data for your audience, but it would complicate the visual that you just created.

Here, it’s a good idea to add an appendix. An appendix (often at the end of your slide deck) includes more detailed data. You might not review it with a live audience, but they can look at it later in a handout or digital format.

To add an appendix, go to the end of your presentation, and click New Slide on the Home tab. Here, it might be appropriate to share the detailed data in the form of a table. Or, you can add a pie chart, suitable for this style of dataset.

To add a chart from scratch, go to the Insert tab, then choose Chart > Pie. The embedded Excel window will return, and again, you can insert your data.

An appendix may not always be necessary. But you should include one (or more) if you've got meaningful data that you aren’t placing into the main slide deck.

The Best Source for Data Presentation Templates (With Unlimited Downloads)

Envato Elements is the best place to find top data presentation templates . For a low monthly rate, you've got access to unlimited downloads of PPT chart templates. You can try as many as you want, finding those that work best for you.

Explore PowerPoint Chart Templates

And that isn’t all. As an Elements member, you also have unlimited access to stock photos, music, fonts, and more. These are digital assets that pair perfectly with your data presentation.

Elements is an unbeatable offer because of the unlimited flexibility. With premium templates, you gain access to powerful features not found in free designs:

• beautiful data visuals that are pre-built and ready to customize
• stylish, custom fonts to help text stand out
• media placeholders to add supporting images and videos
• fully flexible layouts that adapt to your data and other content

The advantages are many. You save hard work, by leaving the slide design tasks to experts. This gives you the time needed to refine your message. Plus, the finished product will wow any audience, thanks to the expertly-crafted graphics . Truly, Envato Elements is the best value for creatives today.

Need a template, but don't want an unlimited subscription? We've got you covered with templates from GraphicRiver . You'll pay-as-you-go, and these templates give you everything you need. They've got pre-made designs for the best way to present data with less work than ever before.

Now Practice the Best Way to Present Data in Presentations

You just learned new ways to present data. Essentially, you saw how to present data in presentations so that your audience  can understand it. Great presenters think of the audience first. They'll thank you for your thoughtful work in how to present numbers and more.

Now, it's your turn! Put these tips on how to present data in presentations to work. Take a flat table in a presentation and convert it with our tips for presenting data in PowerPoint. Just download a template and get started. 

How to Present Data in PowerPoint

PowerPoint has become an essential tool for anyone looking to present data in a clear and engaging way. But it’s not just about throwing numbers onto a slide and hoping for the best. Effective data presentation is a skill that takes practice and careful consideration to master. In this article, we’ll take you through everything you need to know about presenting data in PowerPoint, from understanding your audience to designing engaging slides and everything in between.

Table of Contents

Why Effective Data Presentation is Important in PowerPoint

Before we dive into the nuts and bolts of PowerPoint data presentations, let’s take a moment to understand why it’s so important. The main goal of any data presentation is to deliver information in a clear, concise way that engages your audience and helps them understand the significance of the data. This isn’t always easy – data can be complex, and if not presented effectively, it can lead to confusion, boredom, or even worse – disengagement.

By mastering the art of data presentation in PowerPoint, you can ensure that you’re delivering information in a way that your audience will respond to positively. This not only helps build credibility with your audience, but it can also be the difference between your message being heard and remembered, or ignored and forgotten.

Understanding Your Audience: Tailoring Your Data for Maximum Impact

One of the most important aspects of presenting data in PowerPoint is understanding your audience. Before you begin designing your presentation, take some time to think about who will be viewing it, and what their needs and expectations are.

For example, if you’re presenting to a group of executives, they’re likely to be interested in high-level, big-picture data that shows the overall direction of the company. Conversely, if you’re presenting to a team of analysts, they’ll be looking for more granular data that they can use to make specific decisions or recommendations.

By understanding your audience, you can tailor your data and presentation style to make the biggest impact. This might involve using different chart types, adjusting your tone of voice, or changing your visual style to better connect with your audience.

Choosing the Right PowerPoint Template for Your Data Presentation

The first step in designing an effective PowerPoint data presentation is choosing the right template. With so many options to choose from, it can be overwhelming to know where to start. Here are a few things to keep in mind when choosing a template:

• Consider your brand: Your presentation should reflect your brand’s visual identity, so look for templates that align with your brand standards.
• Simplicity is key: You want your data to be the star of the show, so avoid templates that are busy or overly complicated.
• Think about your audience: Consider the preferences and expectations of your audience when choosing a template. For example, if you’re presenting to a creative team, a more visually engaging template might be appropriate.

Ultimately, the goal of your template is to provide a clean, consistent backdrop for your data and visualizations to shine.

Top Tips for Designing Engaging PowerPoint Slides

Once you’ve chosen your template, it’s time to start designing your PowerPoint slides. Here are some tips to keep in mind:

• Use clear, legible fonts: Your data won’t be effective if it can’t be read, so choose fonts that are easy to read on-screen.
• Keep it simple: Avoid cluttering your slides with unnecessary bells and whistles. Your audience should be able to focus on your data without being distracted by overly complicated design elements.
• Use visuals to support your data: Visuals like charts, graphs, and images can help illustrate your data in a more engaging way than text alone.
• Be consistent: Use consistent formatting and design elements throughout your presentation to create a cohesive look and feel.

Remember, the goal of your PowerPoint slides is to support your data, not distract from it. Keep things simple and clear, and let your data do the talking.

Using Color and Contrast to Make Your Data Pop

Another important design consideration when presenting data in PowerPoint is color and contrast. These elements can help draw attention to key pieces of data and make your presentation more visually engaging.

Here are some tips for using color and contrast effectively:

• Use contrasting colors to highlight key data points: For example, you might use a bright color for a data point that demonstrates a significant change or achievement.
• Stick to a consistent color palette: Using too many colors can be distracting. Stick to a consistent color palette throughout your presentation to create a cohesive look and feel.
• Use color to create visual hierarchy: By using color to differentiate between headings, subheadings, and body text, you can create a visual hierarchy that guides your audience’s attention and helps them navigate the presentation more easily.

Remember, the goal of your use of color and contrast is to make your data more engaging and to help your audience understand its significance in a more visual way.

How to Choose the Right Chart Type for Your Data

When presenting data in PowerPoint, choosing the right chart type is essential. Different chart types are better suited for different types of data, so it’s important to choose one that accurately represents the story you’re trying to tell.

Here are some common chart types and when they might be appropriate:

• Line charts: Line charts are great for showing trends over time or for comparing multiple data sets.
• Pie charts: Pie charts are useful for showing how a whole entity is divided into different parts.
• Bar charts: Bar charts are ideal for comparing different entities or for showing changes in data over time.
• Scatter plots: Scatter plots are helpful for showing the relationship between two variables.

By choosing the right chart type, you can help your audience better understand the story your data is telling.

Creating Clear and Concise Labels and Titles

When presenting data in PowerPoint, it’s essential to use clear and concise labels and titles. This not only makes your data easier to read and understand, but it also helps your audience quickly identify the most important points in your presentation.

Here are some tips for creating effective labels and titles:

• Make it clear: Use labels and titles that accurately reflect the data you’re presenting.
• Keep it concise: Avoid long titles or labels that take up too much space and distract from your data.
• Be consistent: Use a consistent format for all of your labels and titles throughout the presentation to create a cohesive look and feel.

By creating clear and concise labels and titles, you can help guide your audience through your presentation more effectively.

Adding Animation and Transitions for a Professional Touch

Animation and transitions can be a great way to add a professional touch to your PowerPoint data presentation. However, it’s important to use them sparingly – too much animation can be distracting and take away from the data itself.

Here are some tips for using animation and transitions effectively:

• Keep it simple: Use subtle animations and transitions that enhance your data, rather than detracting from it.
• Use animation to highlight key data points: For example, you might use animation to draw attention to a particularly important data point or to show the progression of data over time.
• Be consistent: Use a consistent set of animations and transitions throughout your presentation for a cohesive look and feel.

By using animation and transitions effectively, you can make your data presentation more engaging and dynamic.

Presenting Your Data with Confidence: Tips for Public Speaking in PowerPoint

Finally, it’s important to remember that presenting data in PowerPoint is not just about the slides – it’s also about your delivery as a speaker. Here are some tips for presenting your data with confidence:

• Practice, practice, practice: The more familiar you are with your data and presentation, the more confident you’ll be when it’s time to present.
• Engage with your audience: Make eye contact, use positive body language, and speak clearly and confidently to keep your audience engaged.
• Use data to support your arguments: Use your data as evidence to support the points you’re making, rather than relying solely on your own opinions.

By following these tips, you can deliver a confident, engaging presentation that will leave a lasting impression on your audience.

Common Mistakes to Avoid When Presenting Data in PowerPoint

Now that we’ve covered some best practices for presenting data in PowerPoint, let’s take a look at some common mistakes to avoid:

• Cluttered slides: Too much information on a slide can be overwhelming and make it difficult for your audience to understand what’s important.
• Overly complicated charts: Choose charts that accurately represent your data, but avoid charts that are too complex or difficult to read.
• Too much text: Use visuals to support your data, and limit the amount of text on each slide to keep your audience engaged.

By avoiding these mistakes, you can ensure that your data presentation is engaging, clear, and effective.

Best Practices for Saving and Sharing Your PowerPoint Presentation

Once you’ve put the finishing touches on your PowerPoint data presentation, it’s important to make sure it’s saved and shared correctly. Here are some best practices to keep in mind:

• Save often: Make sure you save your presentation regularly to avoid losing any work.
• Compress images and videos: Large images and videos can make your presentation file size very large. To avoid this, compress any images or videos you include in your presentation.
• Save in different formats: Depending on who you’ll be sharing your presentation with, you may want to save it in different formats, such as PDF or JPEG.

By following these best practices, you can ensure that your presentation is saved and shared safely and effectively.

Creative Ways to Present Complex Data in PowerPoint

Presenting complex data in PowerPoint can be a challenge, but there are creative ways to make it more engaging. Here are some ideas:

• Use infographics: Infographics can be a great way to make complex data more visually engaging and easy to understand.
• Use animations and transitions: Animations and transitions can help break down complex data into more digestible chunks.
• Use storytelling: Telling a story with your data can help it feel more relatable and engaging.

By using creative techniques like these, you can make even the most complex data more engaging and approachable.

How to Use Infographics and Visuals to Enhance Your Data Presentation in PowerPoint

Finally, let’s take a closer look at the ways you can use infographics and visuals to enhance your PowerPoint data presentation. Here are some tips:

• Use icons to illustrate points: Icons can help illustrate complex points in a simple, engaging way.
• Use diagrams and flowcharts: Diagrams and flowcharts can help illustrate processes or systems more clearly than text alone.
• Use images and videos: Images and videos can help bring your data to life and make it more engaging and relatable.

By using visuals strategically, you can create a PowerPoint data presentation that is both informative and engaging.

Resources for Further Learning on Presenting Data in PowerPoint

If you’re interested in learning more about presenting data in PowerPoint, there are many resources available to help you improve your skills. Here are a few to get you started:

• Microsoft’s PowerPoint training center: Offers courses and tutorials on presenting data in PowerPoint.
• Lynda.com: Offers a wide variety of courses on PowerPoint data presentation.
• Data Presentation Tips: A blog devoted to tips and techniques for presenting data in a way that is engaging and effective.

By taking advantage of these resources and continuing to refine your skills, you can become a master of presenting data in PowerPoint.

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10 Superb Data Presentation Examples To Learn From

The best way to learn how to present data effectively is to see data presentation examples from the professionals in the field.

We collected superb examples of graphical presentation and visualization of data in statistics, research, sales, marketing, business management, and other areas.

On this page:

How to present data effectively? Clever tips.

• 10 Real-life examples of data presentation with interpretation.

Download the above infographic in PDF

Your audience should be able to walk through the graphs and visualizations easily while enjoy and respond to the story.

[bctt tweet=”Your reports and graphical presentations should not just deliver statistics, numbers, and data. Instead, they must tell a story, illustrate a situation, provide proofs, win arguments, and even change minds.” username=””]

Before going to data presentation examples let’s see some essential tips to help you build powerful data presentations.

1. Keep it simple and clear

The presentation should be focused on your key message and you need to illustrate it very briefly.

Graphs and charts should communicate your core message, not distract from it. A complicated and overloaded chart can distract and confuse. Eliminate anything repetitive or decorative.

2. Pick up the right visuals for the job

A vast number of types of graphs and charts are available at your disposal – pie charts, line and bar graphs, scatter plot , Venn diagram , etc.

Choosing the right type of chart can be a tricky business. Practically, the choice depends on 2 major things: on the kind of analysis you want to present and on the data types you have.

Commonly, when we aim to facilitate a comparison, we use a bar chart or radar chart. When we want to show trends over time, we use a line chart or an area chart and etc.

3. Break the complex concepts into multiple graphics

It’s can be very hard for a public to understand a complicated graphical visualization. Don’t present it as a huge amount of visual data.

Instead, break the graphics into pieces and illustrate how each piece corresponds to the previous one.

4. Carefully choose the colors

Colors provoke different emotions and associations that affect the way your brand or story is perceived. Sometimes color choices can make or break your visuals.

It is no need to be a designer to make the right color selections. Some golden rules are to stick to 3 or 4 colors avoiding full-on rainbow look and to borrow ideas from relevant chart designs.

Another tip is to consider the brand attributes and your audience profile. You will see appropriate color use in the below data presentation examples.

5. Don’t leave a lot of room for words

The key point in graphical data presentation is to tell the story using visuals and images, not words. Give your audience visual facts, not text.

However, that doesn’t mean words have no importance.

A great advice here is to think that every letter is critical, and there’s no room for wasted and empty words. Also, don’t create generic titles and headlines, build them around the core message.

6. Use good templates and software tools

Building data presentation with AI nowadays means using some kind of software programs and templates. There are many available options – from free graphing software solutions to advanced data visualization tools.

Choosing a good software gives you the power to create good and high-quality visualizations. Make sure you are using templates that provides characteristics like colors, fonts, and chart styles.

A small investment of time to research the software options prevents a large loss of productivity and efficiency at the end.

10 Superb data presentation examples 

Here we collected some of the best examples of data presentation made by one of the biggest names in the graphical data visualization software and information research.

These brands put a lot of money and efforts to investigate how professional graphs and charts should look.

1. Sales Stage History  Funnel Chart 

Data is beautiful and this sales stage funnel chart by Zoho Reports prove this. The above funnel chart represents the different stages in a sales process (Qualification, Need Analysis, Initial Offer, etc.) and shows the potential revenue for each stage for the last and this quarter.

The potential revenue for each sales stage is displayed by a different color and sized according to the amount. The chart is very colorful, eye-catching, and intriguing.

2. Facebook Ads Data Presentation Examples

These are other data presentation examples from Zoho Reports. The first one is a stacked bar chart that displays the impressions breakdown by months and types of Facebook campaigns.

Impressions are one of the vital KPI examples in digital marketing intelligence and business. The first graph is designed to help you compare and notice sharp differences at the Facebook campaigns that have the most influence on impression movements.

The second one is an area chart that shows the changes in the costs for the same Facebook campaigns over the months.

The 2 examples illustrate how multiple and complicated data can be presented clearly and simply in a visually appealing way.

3. Sales Opportunity Data Presentation

These two bar charts (stacked and horizontal bar charts) by Microsoft Power Bi are created to track sales opportunities and revenue by region and sales stage.

The stacked bar graph shows the revenue probability in percentage determined by the current sales stage (Lead, Quality, Solution…) over the months. The horizontal bar chart represents the size of the sales opportunity (Small, Medium, Large) according to regions (East, Central, West).

Both graphs are impressive ways for a sales manager to introduce the upcoming opportunity to C-level managers and stakeholders. The color combination is rich but easy to digest.

4. Power 100 Data Visualization 

Want to show hierarchical data? Treemaps can be perfect for the job. This is a stunning treemap example by Infogram.com that shows you who are the most influential industries. As you see the Government is on the top.

This treemap is a very compact and space-efficient visualization option for presenting hierarchies, that gives you a quick overview of the structure of the most powerful industries.

So beautiful way to compare the proportions between things via their area size.

When it comes to best research data presentation examples in statistics, Nielsen information company is an undoubted leader. The above professional looking line graph by Nielsen represent the slowing alcoholic grow of 4 alcohol categories (Beer, Wine, Spirits, CPG) for the period of 12 months.

The chart is an ideal example of a data visualization that incorporates all the necessary elements of an effective and engaging graph. It uses color to let you easily differentiate trends and allows you to get a global sense of the data. Additionally, it is incredibly simple to understand.

6. Digital Health Research Data Visualization Example

Digital health is a very hot topic nowadays and this stunning donut chart by IQVIA shows the proportion of different mobile health apps by therapy area (Mental Health, Diabetes, Kidney Disease, and etc.). 100% = 1749 unique apps.

This is a wonderful example of research data presentation that provides evidence of Digital Health’s accelerating innovation and app expansion.

Besides good-looking, this donut chart is very space-efficient because the blank space inside it is used to display information too.

7. Disease Research Data Visualization Examples

Presenting relationships among different variables is hard to understand and confusing -especially when there is a huge number of them. But using the appropriate visuals and colors, the IQVIA did a great job simplifying this data into a clear and digestible format.

The above stacked bar charts by IQVIA represents the distribution of oncology medicine spendings by years and product segments (Protected Brand Price, Protected Brand Volume, New Brands, etc.).

The chart allows you to clearly see the changes in spendings and where they occurred – a great example of telling a deeper story in a simple way.

8. Textual and Qualitative Data Presentation Example

When it comes to easy to understand and good looking textual and qualitative data visualization, pyramid graph has a top place. To know what is qualitative data see our post quantitative vs qualitative data .

9. Product Metrics Graph Example

If you are searching for excel data presentation examples, this stylish template from Smartsheet can give you good ideas for professional looking design.

The above stacked bar chart represents product revenue breakdown by months and product items. It reveals patterns and trends over the first half of the year that can be a good basis for data-driven decision-making .

10. Supply Chain Data Visualization Example 

This bar chart created by ClicData  is an excellent example of how trends over time can be effectively and professionally communicated through the use of well-presented visualization.

It shows the dynamics of pricing through the months based on units sold, units shipped, and current inventory. This type of graph pack a whole lot of information into a simple visual. In addition, the chart is connected to real data and is fully interactive.

The above data presentation examples aim to help you learn how to present data effectively and professionally.

About The Author

Silvia Valcheva

Silvia Valcheva is a digital marketer with over a decade of experience creating content for the tech industry. She has a strong passion for writing about emerging software and technologies such as big data, AI (Artificial Intelligence), IoT (Internet of Things), process automation, etc.

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When and how should you use data in a presentation?

The answer is that you should use figures and numbers whenever they give the best evidence to back up your argument, or to tell your story. But how to present that data is more difficult.

Many people are not interested in tables of numbers, and may struggle to understand graphs. How can you help walk them through the data?

This page is designed to help you to answer that question by setting out some simple rules for presenting data.

Remember that You Are Telling Your Audience a Story

All presentations are basically story-telling opportunities.

Human beings have been hard-wired, over millions of years of evolution, to enjoy and respond to stories. It’s best to work with it, not fight it, because if you tell your audience a story, they are likely to listen much more carefully, and also move towards a logical conclusion: the insight to which you are trying to lead them.

Once you understand this, the issue of using data falls into place: it is to provide evidence of how your story unfolds.

Use Data to Tell the Story

You are not presenting data as such, you are using data to help you to tell your story in a more meaningful way.

This means that whenever you are required to present data, you should be asking yourself:

‘ What is the story in this data? ’,

‘ How best can I tell this story to my audience? ’

A Picture Tells a Thousand Words

90% of the information sent to the brain is visual and over 90% of all human communication is visual. Processing text requires our brains to work much harder than when processing images. In fact, the brain can process pictorial information 60,000 times faster than written information.

There is considerable truth in the saying ‘a picture tells a thousand words’ . It may not be literally a thousand, but it is often much easier to use a picture than to describe numerical information in words.

The data itself may be vitally important, but without a visual presentation of that data, its impact (and therefore your message) may be lost.

There are many people in the world who do not find it easy to understand numbers.

There are also many people who will simply switch off if you show them figures in a table. But if you present data in a graph or pie chart, you make a pictorial representation of the data. It makes the numbers much easier to understand. Trends and proportions become more obvious.

Consider this set of data:

Even for the highly numerate, the immediate point is only that there are lot more sales in the first quarter. You would have to do some adding up and dividing to work out the relationships between the four numbers. It also requires much more concentration to read and absorb the information in this format.

Now consider the same data in a pie chart:

It is immediately and shiningly obvious, even for those who struggle with numbers, that more than half of all sales were in the first quarter, and that over 75% were in the first two quarters.

What’s more, nobody is going to be straining from the back of the room to read your figures. You really can see a lot more from a picture.

But, and this is important, make sure that the graph is a good one.

Check that your graph or chart is visually appealing, that all the labels are clear, and that you have used an appropriate type of graph or chart. Poor graph-making is always obvious and can lead to confusion. Your message will also have much more impact if you choose the right type of graph or chart.

For more about this, see our page on Graphs and Charts .

KISS: Keep It Simple, Stupid!

When you’re good at statistics, it’s very tempting to do some really whizzy analysis. And once you’ve done that, you really want to show everyone how clever you are, and how much work you’ve done.

But does it really help to make your point?

Then don’t present it.

In the (relatively rare) cases when you actually need some really whizzy analysis, you then need to ask yourself whether everyone will understand it. And, in these days of presentations being posted on the internet, will the casual reader of your slides understand it later?

Once again, if the answer is ‘probably not’, then don’t use it.

Leave It Out...

If you can’t summarise your analysis in one or two brief and clear sentences, then don’t include it.

It also follows that if you don’t need to include data to make your point, then it may be best not to do so. A slide that is likely to be misunderstood or produce confusion is worse than no slide at all. So cut out all unnecessary data and focus on what you really need  to tell your story .

Remember KISS: Keep It Simple, Stupid.

Highlight the Main Features to Draw Out the Insights

We’re not suggesting that you should ‘ dumb down ’ your presentation, but there is no harm in highlighting the key features, as well as cutting out unnecessary data.

Suppose once again that you are using the sales figures from the last four quarters. You want to show the actual figures. Why not use a highlighting tool to emphasise that the first quarter is more than half?

With PowerPoint and other presentation software, you can make each circle appear separately, as you make your point and discuss the insights.

A little creative use of the technology can help you to highlight certain figures, and once again, make the story clearer.

Take-home message

Paradoxically, your presentation of any data should be designed to move the conversation away from the data and into the insight and action that should result from it.

In other words:

‘What happened there?’

‘What are we going to do about it?’

If you look at your presentation, data and all, and it’s not clear how you would get from the data to the insight and then the action, it’s probably a good idea to look at it again.

Remember, it’s the story that matters… and then what happens as a result.

Continue to: Writing Your Presentation Working with Visual Aids

See also: What is Your Story? How to Identify Your Story from Raw Data Crisis Communications Presenting to Large Groups Simple Statistical Analysis

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Top 5 Easy-to-Follow Data Presentation Examples

You’ll agree when we say that poring through numbers is tedious at best and mentally exhausting at worst.

And this is where data presentation examples come in.

Charts come in and distill data into meaningful insights. And this saves tons of hours, which you can use to relax or execute other tasks. Besides, when creating data stories, you need charts that communicate insights with clarity.

There’re 5 solid and reliable data presentation methods: textual, statistical data presentation, measures of dispersion, tabular, and graphical data representation.

Besides, some of the tested and proven charts for data presentation include:

• Waterfall Chart
• Double Bar Graph
• Slope Chart
• Treemap Charts
• Radar Chart
• Sankey Chart

There’re visualization tools that produce simple, insightful, and ready-made data presentation charts. Yes, you read that right. These tools create charts that complement data stories seamlessly.

Remember, without visualizing data to extract insights, chances of creating a compelling narrative will go down.

Table of Content:

What is data presentation, top 5 data presentation examples:, how to generate sankey chart in excel for data presentation, importance of data presentation in business, benefits of data presentation, what are the top 5 methods of data presentation.

Data presentation is the process of using charts and graphs formats to display insights into data. The insights could be:

• Relationship
• Trend and patterns

Data Analysis  and  Data Presentation  have a practical implementation in every possible field. It can range from academic studies, and commercial, industrial , and marketing activities to professional practices .

In its raw form, data can be extremely complicated to decipher. Examples of data presentation, such as chord charts , are an important step toward breaking down data into understandable charts or graphs.

You can use tools (which we’ll talk about later) to analyze raw data.

Once the required information is obtained from the data, the next logical step is to present the data in a graphical presentation.

The presentation is the key to success.

Once you’ve extracted actionable insights, you can craft a compelling data story. Keep reading because we’ll address the following in the coming section: the importance of data presentation in business.

Let’s take a look at the five data presentation examples below:

1. Waterfall Chart

A Waterfall Chart is a graphical representation used to depict the cumulative impact of sequential positive or negative values on a starting point over a designated time frame. It typically consists of a series of horizontal bars, with each bar representing a stage or category in a process.

2. Double Bar Graph

A Double Bar Chart displays more than one data series in clustered horizontal columns.

Each data series shares the same axis labels, so horizontal bars are grouped by category.

Bars directly compare multiple series in a given category. The chart is amazingly easy to read and interpret, even for a non-technical audience.

3. Slope Chart

Slope Charts are simple graphs that quickly and directly show  transitions, changes over time, absolute values, and even rankings .

Besides, they’re also called Slope Graphs .

This is one of the data presentation examples you can use to show the before and after story of variables in your data.

Slope Graphs can be useful when you have two time periods or points of comparison and want to show relative increases and decreases quickly across various categories between two data points.

Take a look at the table below. Can you provide coherent and actionable insights into the table below?

Notice the difference after visualizing the table. You can easily tell the performance of individual segments in:

• Macy’s Store

5. Radar Chart

Radar Chart is also known as Spider Chart or Spider Web Chart. A radar chart is very helpful to visualize the comparison between multiple categories and variables.

A radar Chart is one of the data presentation examples you can use to compare data of two different time ranges e.g. Current vs Previous. Radar Chart with different scales makes it easy for you to identify trends, patterns, and outliers in your data. You can also use Radar Chart to visualize the data of Polar graph equations.

6. Sankey Chart

You can use Sankey Chart to visualize data with flow-like attributes, such as material, energy, cost, etc.

This chart draws the reader’s attention to the enormous flows, the largest consumer, the major losses , and other insights.

The aforementioned visualization design is one of the data presentation examples that use links and nodes to uncover hidden insights into relationships between critical metrics.

The size of a node is directly proportionate to the quantity of the data point under review.

So how can you access the data presentation examples (highlighted above)?

Excel is one of the most used tools for visualizing data because it’s easy to use. 

However, you cannot access ready-made and visually appealing data presentation charts for storytelling. But this does not mean you should ditch this freemium data visualization tool.

Did you know you can supercharge your Excel with add-ins to access visually stunning and ready-to-go data presentation charts?

Yes, you can increase the functionality of your Excel and access ready-made data presentation examples for your data stories.

The add-on we recommend you to use is ChartExpo.

What is ChartExpo?

We recommend this tool (ChartExpo) because it’s super easy to use.

You don’t need to take programming night classes to extract insights from your data. ChartExpo is more of a ‘drag-and-drop tool,’ which means you’ll only need to scroll your mouse and fill in respective metrics and dimensions in your data.

ChartExpo comes with a 7-day free trial period.

The tool produces charts that are incredibly easy to read and interpret . And it allows you to save charts in the world’s most recognized formats, namely PNG and JPG.

In the coming section, we’ll show you how to use ChartExpo to visualize your data with one of the data presentation examples (Sankey).

  To install ChartExpo add-in into your Excel, click this link .

• Open your Excel and paste the table above.
• Click the My Apps button.

• Then select ChartExpo and click on  INSERT, as shown below.

• Click the Search Box and type “Sankey Chart” .

• Once the chart pops up, click on its icon to get started.

• Select the sheet holding your data and click the Create Chart from Selection button.

How to Edit the Sankey Chart?

• Click the Edit Chart button, as shown above.

• Once the Chart Header Properties window shows, click the Line 1 box and fill in your title.

• To change the color of the nodes, click the pen-like icons on the nodes.
• Once the color window shows, select the Node Color and then the Apply button.

• Save your changes by clicking the Apply button.
• Check out the final chart below.

Data presentation examples are vital, especially when crafting data stories for the top management. Top management can use data presentation charts, such as Sankey, as a backdrop for their decision.

Presentation charts, maps, and graphs are powerful because they simplify data by making it understandable & readable at the same time. Besides, they make data stories compelling and irresistible to target audiences.

Big files with numbers are usually hard to read and make it difficult to spot patterns easily. However, many businesses believe that developing visual reports focused on creating stories around data is unnecessary; they think that the data alone should be sufficient for decision-making.

Visualizing supports this and lightens the decision-making process.

Luckily, there are innovative applications you can use to visualize all the data your company has into dashboards, graphs, and reports. Data visualization helps transform your numbers into an engaging story with details and patterns.

Check out more benefits of data presentation examples below:

1. Easy to understand

You can interpret vast quantities of data clearly and cohesively to draw insights, thanks to graphic representations.

Using data presentation examples, such as charts, managers and decision-makers can easily create and rapidly consume key metrics.

If any of the aforementioned metrics have anomalies — ie. sales are significantly down in one region — decision-makers will easily dig into the data to diagnose the problem.

2. Spot patterns

Data visualization can help you to do trend analysis and respond rapidly on the grounds of what you see.

Such patterns make more sense when graphically represented; because charts make it easier to identify correlated parameters.

3. Data Narratives

You can use data presentation charts, such as Sankey, to build dashboards and turn them into stories.

Data storytelling can help you connect with potential readers and audiences on an emotional level.

4. Speed up the decision-making process

We naturally process visual images 60,000 times faster than text. A graph, chart, or other visual representation of data is more comfortable for our brain to process.

Thanks to our ability to easily interpret visual content, data presentation examples can dramatically improve the speed of decision-making processes.

Take a look at the table below?

Can you give reliable insights into the table above?

Keep reading because we’ll explore easy-to-follow data presentation examples in the coming section. Also, we’ll address the following question: what are the top 5 methods of data presentation?

1. Textual Ways of Presenting Data

Out of the five data presentation examples, this is the simplest one.

Just write your findings coherently and your job is done. The demerit of this method is that one has to read the whole text to get a clear picture.  Yes, you read that right.

The introduction, summary, and conclusion can help condense the information.

2. Statistical data presentation

Data on its own is less valuable. However, for it to be valuable to your business, it has to be:

No matter how well manipulated, the insights into raw data should be presented in an easy-to-follow sequence to keep the audience waiting for more.

Text is the principal method for explaining findings, outlining trends, and providing contextual information. A table is best suited for representing individual information and represents both quantitative and qualitative information.

On the other hand, a graph is a very effective visual tool because:

• It displays data at a glance
• Facilitates comparison
• Reveals trends, relationships, frequency distribution, and correlation

Text, tables, and graphs are incredibly effective data presentation examples you can leverage to curate persuasive data narratives.

3. Measure of Dispersion

Statistical dispersion is how a key metric is likely to deviate from the average value. In other words, dispersion can help you to understand the distribution of key data points.

There are two types of measures of dispersion, namely:

• Absolute Measure of Dispersion
• Relative Measure of Dispersion

4. Tabular Ways of Data Presentation and Analysis

To avoid the complexities associated with qualitative data, use tables and charts to display insights.

This is one of the data presentation examples where values are displayed in rows and columns. All rows and columns have an attribute (name, year, gender, and age).

5. Graphical Data Representation

Graphical representation uses charts and graphs to visually display, analyze, clarify, and interpret numerical data, functions, and other qualitative structures.

Data is ingested into charts and graphs, such as Sankey, and then represented by a variety of symbols, such as lines and bars.

Data presentation examples, such as Bar Charts , can help you illustrate trends, relationships, comparisons, and outliers between data points.

What is the main objective of data presentation?

Discovery and communication are the two key objectives of data presentation.

In the discovery phase, we recommend you try various charts and graphs to understand the insights into the raw data. The communication phase is focused on presenting the insights in a summarized form.

What is the importance of graphs and charts in business?

Big files with numbers are usually hard to read and make it difficult to spot patterns easily.

Presentation charts, maps, and graphs are vital because they simplify data by making it understandable & readable at the same time. Besides, they make data stories compelling and irresistible to target audiences.

Poring through numbers is tedious at best and mentally exhausting at worst.

This is where data presentation examples come into play.

Charts come in and distill data into meaningful insights. And this saves tons of hours, which you can use to handle other tasks. Besides, when creating data stories, it would be best if you had charts that communicate insights with clarity.

Excel, one of the popular tools for visualizing data, comes with very basic data presentation charts, which require a lot of editing.

We recommend you try ChartExpo because it’s one of the most trusted add-ins. Besides, it has a super-friendly user interface for everyone, irrespective of their computer skills.

Create simple, ready-made, and easy-to-interpret Bar Charts today without breaking a sweat.

How much did you enjoy this article?

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17 Best Types of Charts and Graphs for Data Visualization [+ Guide]

Published: May 22, 2024

As a writer for the marketing blog, I frequently use various types of charts and graphs to help readers visualize the data I collect and better understand their significance. And trust me, there's a lot of data to present.

In fact, the volume of data in 2025 will be almost double the data we create, capture, copy, and consume today.

This makes data visualization essential for businesses. Different types of graphs and charts can help you:

• Motivate your team to take action.
• Impress stakeholders with goal progress.
• Show your audience what you value as a business.

Data visualization builds trust and can organize diverse teams around new initiatives. So, I'm going to talk about the types of graphs and charts that you can use to grow your business.

And, if you still need a little more guidance by the end of this post, check out our data visualization guide for more information on how to design visually stunning and engaging charts and graphs.  

Free Excel Graph Templates

Tired of struggling with spreadsheets? These free Microsoft Excel Graph Generator Templates can help.

• Simple, customizable graph designs.
• Data visualization tips & instructions.
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Click this link to access this resource at any time.

Charts vs Graphs: What's the Difference?

A lot of people think charts and graphs are synonymous (I know I did), but they're actually two different things.

Charts visually represent current data in the form of tables and diagrams, but graphs are more numerical in data and show how one variable affects another.

For example, in one of my favorite sitcoms, How I Met Your Mother, Marshall creates a bunch of charts and graphs representing his life. One of these charts is a Venn diagram referencing the song "Cecilia" by Simon and Garfunkle. 

Marshall says, "This circle represents people who are breaking my heart, and this circle represents people who are shaking my confidence daily. Where they overlap? Cecilia."

The diagram is a chart and not a graph because it doesn't track how these people make him feel over time or how these variables are influenced by each other.

It may show where the two types of people intersect but not how they influence one another.

Later, Marshall makes a line graph showing how his friends' feelings about his charts have changed in the time since presenting his "Cecilia diagram.

Note: He calls the line graph a chart on the show, but it's acceptable because the nature of line graphs and charts makes the terms interchangeable. I'll explain later, I promise.

The line graph shows how the time since showing his Cecilia chart has influenced his friends' tolerance for his various graphs and charts. 

Image source

I can't even begin to tell you all how happy I am to reference my favorite HIMYM joke in this post.

Now, let's dive into the various types of graphs and charts. 

Different Types of Graphs for Data Visualization

1. bar graph.

I strongly suggest using a bar graph to avoid clutter when one data label is long or if you have more than 10 items to compare. Also, fun fact: If the example below was vertical it would be a column graph.

Best Use Cases for These Types of Graphs

Bar graphs can help track changes over time. I've found that bar graphs are most useful when there are big changes or to show how one group compares against other groups.

The example above compares the number of customers by business role. It makes it easy to see that there is more than twice the number of customers per role for individual contributors than any other group.

A bar graph also makes it easy to see which group of data is highest or most common.

For example, at the start of the pandemic, online businesses saw a big jump in traffic. So, if you want to look at monthly traffic for an online business, a bar graph would make it easy to see that jump.

Other use cases for bar graphs include:

• Product comparisons.
• Product usage.
• Category comparisons.
• Marketing traffic by month or year.
• Marketing conversions.

Design Best Practices for Bar Graphs

• Use consistent colors throughout the chart, selecting accent colors to highlight meaningful data points or changes over time.

You should also use horizontal labels to improve its readability, and start the y-axis at 0 to appropriately reflect the values in your graph.

2. Line Graph

A line graph reveals trends or progress over time, and you can use it to show many different categories of data. You should use it when you track a continuous data set.

This makes the terms line graphs and line charts interchangeable because the very nature of both is to track how variables impact each other, particularly how something changes over time. Yeah, it confused me, too.

Line graphs help users track changes over short and long periods. Because of this, I find these types of graphs are best for seeing small changes.

Line graphs help me compare changes for more than one group over the same period. They're also helpful for measuring how different groups relate to each other.

A business might use this graph to compare sales rates for different products or services over time.

These charts are also helpful for measuring service channel performance. For example, a line graph that tracks how many chats or emails your team responds to per month.

Design Best Practices for Line Graphs

• Use solid lines only.
• Don't plot more than four lines to avoid visual distractions.
• Use the right height so the lines take up roughly 2/3 of the y-axis' height.

3. Bullet Graph

A bullet graph reveals progress towards a goal, compares this to another measure, and provides context in the form of a rating or performance.

In the example above, the bullet graph shows the number of new customers against a set customer goal. Bullet graphs are great for comparing performance against goals like this.

These types of graphs can also help teams assess possible roadblocks because you can analyze data in a tight visual display.

For example, I could create a series of bullet graphs measuring performance against benchmarks or use a single bullet graph to visualize these KPIs against their goals:

• Customer satisfaction.
• Average order size.
• New customers.

Seeing this data at a glance and alongside each other can help teams make quick decisions.

Bullet graphs are one of the best ways to display year-over-year data analysis. YBullet graphs can also visualize:

• Customer satisfaction scores.
• Customer shopping habits.
• Social media usage by platform.

Design Best Practices for Bullet Graphs

• Use contrasting colors to highlight how the data is progressing.
• Use one color in different shades to gauge progress.

4. Column + Line Graph

Column + line graphs are also called dual-axis charts. They consist of a column and line graph together, with both graphics on the X axis but occupying their own Y axis.

Download our FREE Excel Graph Templates for this graph and more!

Best Use Cases

These graphs are best for comparing two data sets with different measurement units, such as rate and time. 

As a marketer, you may want to track two trends at once.

Design Best Practices 

Use individual colors for the lines and colors to make the graph more visually appealing and to further differentiate the data. 

The Four Basic Types of Charts

Before we get into charts, I want to touch on the four basic chart types that I use the most. 

1. Bar Chart

Bar charts are pretty self-explanatory. I use them to indicate values by the length of bars, which can be displayed horizontally or vertically. Vertical bar charts, like the one below, are sometimes called column charts. 

2. Line Chart 

I use line charts to show changes in values across continuous measurements, such as across time, generations, or categories. For example, the chart below shows the changes in ice cream sales throughout the week.

3. Scatter Plot

A scatter plot uses dotted points to compare values against two different variables on separate axes. It's commonly used to show correlations between values and variables. 

4. Pie Chart

Pie charts are charts that represent data in a circular (pie-shaped) graphic, and each slice represents a percentage or portion of the whole. 

Notice the example below of a household budget. (Which reminds me that I need to set up my own.)

Notice that the percentage of income going to each expense is represented by a slice. 

Different Types of Charts for Data Visualization

To better understand chart types and how you can use them, here's an overview of each:

1. Column Chart

Use a column chart to show a comparison among different items or to show a comparison of items over time. You could use this format to see the revenue per landing page or customers by close date.

Best Use Cases for This Type of Chart

I use both column charts to display changes in data, but I've noticed column charts are best for negative data. The main difference, of course, is that column charts show information vertically while bar charts  show data horizontally.

For example, warehouses often track the number of accidents on the shop floor. When the number of incidents falls below the monthly average, a column chart can make that change easier to see in a presentation.

In the example above, this column chart measures the number of customers by close date. Column charts make it easy to see data changes over a period of time. This means that they have many use cases, including:

• Customer survey data, like showing how many customers prefer a specific product or how much a customer uses a product each day.
• Sales volume, like showing which services are the top sellers each month or the number of sales per week.
• Profit and loss, showing where business investments are growing or falling.

Design Best Practices for Column Charts

• Use horizontal labels to improve readability.
• Start the y-axis at 0 to appropriately reflect the values in your chart .

2. Area Chart

Okay, an area chart is basically a line chart, but I swear there's a meaningful difference.

The space between the x-axis and the line is filled with a color or pattern. It is useful for showing part-to-whole relations, like showing individual sales reps’ contributions to total sales for a year.

It helps me analyze both overall and individual trend information.

Best Use Cases for These Types of Charts

Area charts help show changes over time. They work best for big differences between data sets and help visualize big trends.

For example, the chart above shows users by creation date and life cycle stage.

A line chart could show more subscribers than marketing qualified leads. But this area chart emphasizes how much bigger the number of subscribers is than any other group.

These charts make the size of a group and how groups relate to each other more visually important than data changes over time.

Area charts  can help your business to:

• Visualize which product categories or products within a category are most popular.
• Show key performance indicator (KPI) goals vs. outcomes.
• Spot and analyze industry trends.

Design Best Practices for Area Charts

• Use transparent colors so information isn't obscured in the background.
• Don't display more than four categories to avoid clutter.
• Organize highly variable data at the top of the chart to make it easy to read.

3. Stacked Bar Chart

I suggest using this chart to compare many different items and show the composition of each item you’re comparing.

These charts  are helpful when a group starts in one column and moves to another over time.

For example, the difference between a marketing qualified lead (MQL) and a sales qualified lead (SQL) is sometimes hard to see. The chart above helps stakeholders see these two lead types from a single point of view — when a lead changes from MQL to SQL.

Stacked bar charts are excellent for marketing. They make it simple to add a lot of data on a single chart or to make a point with limited space.

These charts  can show multiple takeaways, so they're also super for quarterly meetings when you have a lot to say but not a lot of time to say it.

Stacked bar charts are also a smart option for planning or strategy meetings. This is because these charts can show a lot of information at once, but they also make it easy to focus on one stack at a time or move data as needed.

You can also use these charts to:

• Show the frequency of survey responses.
• Identify outliers in historical data.
• Compare a part of a strategy to its performance as a whole.

Design Best Practices for Stacked Bar Charts

• Best used to illustrate part-to-whole relationships.
• Use contrasting colors for greater clarity.
• Make the chart scale large enough to view group sizes in relation to one another.

4. Mekko Chart

Also known as a Marimekko chart, this type of chart  can compare values, measure each one's composition, and show data distribution across each one.

It's similar to a stacked bar, except the Mekko's x-axis can capture another dimension of your values — instead of time progression, like column charts often do. In the graphic below, the x-axis compares the cities to one another.

Image Source

I typically use a Mekko chart to show growth, market share, or competitor analysis.

For example, the Mekko chart above shows the market share of asset managers grouped by location and the value of their assets. This chart clarifies which firms manage the most assets in different areas.

It's also easy to see which asset managers are the largest and how they relate to each other.

Mekko charts can seem more complex than other types of charts, so it's best to use these in situations where you want to emphasize scale or differences between groups of data.

Other use cases for Mekko charts include:

• Detailed profit and loss statements.
• Revenue by brand and region.
• Product profitability.
• Share of voice by industry or niche.

Design Best Practices for Mekko Charts

• Vary your bar heights if the portion size is an important point of comparison.
• Don't include too many composite values within each bar. Consider reevaluating your presentation if you have a lot of data.
• Order your bars from left to right in such a way that exposes a relevant trend or message.

5. Pie Chart

Remember, a pie chart represents numbers in percentages, and the total sum of all segments needs to equal 100%.

The image above shows another example of customers by role in the company.

The bar chart  example shows you that there are more individual contributors than any other role. But this pie chart makes it clear that they make up over 50% of customer roles.

Pie charts make it easy to see a section in relation to the whole, so they are good for showing:

• Customer personas in relation to all customers.
• Revenue from your most popular products or product types in relation to all product sales.
• Percent of total profit from different store locations.

Design Best Practices for Pie Charts

• Don't illustrate too many categories to ensure differentiation between slices.
• Ensure that the slice values add up to 100%.
• Order slices according to their size.

6. Scatter Plot Chart

As I said earlier, a scatter plot or scattergram chart will show the relationship between two different variables or reveal distribution trends.

Use this chart when there are many different data points, and you want to highlight similarities in the data set. This is useful when looking for outliers or understanding your data's distribution.

Scatter plots are helpful in situations where you have too much data to see a pattern quickly. They are best when you use them to show relationships between two large data sets.

In the example above, this chart shows how customer happiness relates to the time it takes for them to get a response.

This type of chart  makes it easy to compare two data sets. Use cases might include:

• Employment and manufacturing output.
• Retail sales and inflation.
• Visitor numbers and outdoor temperature.
• Sales growth and tax laws.

Try to choose two data sets that already have a positive or negative relationship. That said, this type of chart  can also make it easier to see data that falls outside of normal patterns.

Design Best Practices for Scatter Plots

• Include more variables, like different sizes, to incorporate more data.
• Start the y-axis at 0 to represent data accurately.
• If you use trend lines, only use a maximum of two to make your plot easy to understand.

7. Bubble Chart

A bubble chart is similar to a scatter plot in that it can show distribution or relationship. There is a third data set shown by the size of the bubble or circle.

In the example above, the number of hours spent online isn't just compared to the user's age, as it would be on a scatter plot chart.

Instead, you can also see how the gender of the user impacts time spent online.

This makes bubble charts useful for seeing the rise or fall of trends over time. It also lets you add another option when you're trying to understand relationships between different segments or categories.

For example, if you want to launch a new product, this chart could help you quickly see your new product's cost, risk, and value. This can help you focus your energies on a low-risk new product with a high potential return.

You can also use bubble charts for:

• Top sales by month and location.
• Customer satisfaction surveys.
• Store performance tracking.
• Marketing campaign reviews.

Design Best Practices for Bubble Charts

• Scale bubbles according to area, not diameter.
• Make sure labels are clear and visible.
• Use circular shapes only.

8. Waterfall Chart

I sometimes use a waterfall chart to show how an initial value changes with intermediate values — either positive or negative — and results in a final value.

Use this chart to reveal the composition of a number. An example of this would be to showcase how different departments influence overall company revenue and lead to a specific profit number.

The most common use case for a funnel chart is the marketing or sales funnel. But there are many other ways to use this versatile chart.

If you have at least four stages of sequential data, this chart can help you easily see what inputs or outputs impact the final results.

For example, a funnel chart can help you see how to improve your buyer journey or shopping cart workflow. This is because it can help pinpoint major drop-off points.

Other stellar options for these types of charts include:

• Deal pipelines.
• Conversion and retention analysis.
• Bottlenecks in manufacturing and other multi-step processes.
• Marketing campaign performance.
• Website conversion tracking.

Design Best Practices for Funnel Charts

• Scale the size of each section to accurately reflect the size of the data set.
• Use contrasting colors or one color in graduated hues, from darkest to lightest, as the size of the funnel decreases.

10. Heat Map

A heat map shows the relationship between two items and provides rating information, such as high to low or poor to excellent. This chart displays the rating information using varying colors or saturation.

Best Use Cases for Heat Maps

In the example above, the darker the shade of green shows where the majority of people agree.

With enough data, heat maps can make a viewpoint that might seem subjective more concrete. This makes it easier for a business to act on customer sentiment.

There are many uses for these types of charts. In fact, many tech companies use heat map tools to gauge user experience for apps, online tools, and website design .

Another common use for heat map charts  is location assessment. If you're trying to find the right location for your new store, these maps can give you an idea of what the area is like in ways that a visit can't communicate.

Heat maps can also help with spotting patterns, so they're good for analyzing trends that change quickly, like ad conversions. They can also help with:

• Competitor research.
• Customer sentiment.
• Sales outreach.
• Campaign impact.
• Customer demographics.

Design Best Practices for Heat Map

• Use a basic and clear map outline to avoid distracting from the data.
• Use a single color in varying shades to show changes in data.
• Avoid using multiple patterns.

11. Gantt Chart

The Gantt chart is a horizontal chart that dates back to 1917. This chart maps the different tasks completed over a period of time.

Gantt charting is one of the most essential tools for project managers. It brings all the completed and uncompleted tasks into one place and tracks the progress of each.

While the left side of the chart displays all the tasks, the right side shows the progress and schedule for each of these tasks.

This chart type allows you to:

• Break projects into tasks.
• Track the start and end of the tasks.
• Set important events, meetings, and announcements.
• Assign tasks to the team and individuals.

I use donut charts for the same use cases as pie charts, but I tend to prefer the former because of the added benefit that the data is easier to read.

Another benefit to donut charts is that the empty center leaves room for extra layers of data, like in the examples above. 

Design Best Practices for Donut Charts 

Use varying colors to better differentiate the data being displayed, just make sure the colors are in the same palette so viewers aren't put off by clashing hues. 

How to Choose the Right Chart or Graph for Your Data

Channels like social media or blogs have multiple data sources, and managing these complex content assets can get overwhelming. What should you be tracking? What matters most?

How do you visualize and analyze the data so you can extract insights and actionable information?

1. Identify your goals for presenting the data.

Before creating any data-based graphics, I ask myself if I want to convince or clarify a point. Am I trying to visualize data that helped me solve a problem? Or am I trying to communicate a change that's happening?

A chart or graph can help compare different values, understand how different parts impact the whole, or analyze trends. Charts and graphs can also be useful for recognizing data that veers away from what you’re used to or help you see relationships between groups.

So, clarify your goals then use them to guide your chart selection.

2. Figure out what data you need to achieve your goal.

Different types of charts and graphs use different kinds of data. Graphs usually represent numerical data, while charts are visual representations of data that may or may not use numbers.

So, while all graphs are a type of chart, not all charts are graphs. If you don't already have the kind of data you need, you might need to spend some time putting your data together before building your chart.

3. Gather your data.

Most businesses collect numerical data regularly, but you may need to put in some extra time to collect the right data for your chart.

Besides quantitative data tools that measure traffic, revenue, and other user data, you might need some qualitative data.

These are some other ways you can gather data for your data visualization:

• Interviews 
• Quizzes and surveys
• Customer reviews
• Reviewing customer documents and records
• Community boards

Fill out the form to get your templates.

4. select the right type of graph or chart..

Choosing the wrong visual aid or defaulting to the most common type of data visualization could confuse your viewer or lead to mistaken data interpretation.

But a chart is only useful to you and your business if it communicates your point clearly and effectively.

Ask yourself the questions below to help find the right chart or graph type.

Download the Excel templates mentioned in the video here.

5 Questions to Ask When Deciding Which Type of Chart to Use

1. do you want to compare values.

Charts and graphs are perfect for comparing one or many value sets, and they can easily show the low and high values in the data sets. To create a comparison chart, use these types of graphs:

• Scatter plot

2. Do you want to show the composition of something?

Use this type of chart to show how individual parts make up the whole of something, like the device type used for mobile visitors to your website or total sales broken down by sales rep.

To show composition, use these charts:

• Stacked bar

3. Do you want to understand the distribution of your data?

Distribution charts help you to understand outliers, the normal tendency, and the range of information in your values.

Use these charts to show distribution:

4. Are you interested in analyzing trends in your data set?

If you want more information about how a data set performed during a specific time, there are specific chart types that do extremely well.

You should choose one of the following:

• Dual-axis line

5. Do you want to better understand the relationship between value sets?

Relationship charts can show how one variable relates to one or many different variables. You could use this to show how something positively affects, has no effect, or negatively affects another variable.

When trying to establish the relationship between things, use these charts:

Featured Resource: The Marketer's Guide to Data Visualization

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Marketing software that helps you drive revenue, save time and resources, and measure and optimize your investments — all on one easy-to-use platform

Quarto will use Pandoc to automatically generate citations and a bibliography in a number of styles. To use this capability, you will need:

A quarto document formatted with citations (see Citation Markdown ).

A bibliographic data source, for example a BibLaTeX ( .bib ) or BibTeX ( .bibtex ) file.

Optionally, a CSL file which specifies the formatting to use when generating the citations and bibliography (when not using natbib or biblatex to generate the bibliography).

Bibliography Files

Quarto supports bibliography files in a wide variety of formats including BibLaTeX and CSL. Add a bibliography to your document using the bibliography YAML metadata field. For example:

You can provide more than one bibliography file if you would like by setting the bibliography field’s value to a YAML array.

See the Pandoc Citations documentation for additional information on bibliography formats.

Citation Syntax

Quarto uses the standard Pandoc markdown representation for citations (e.g.  [@citation] ) — citations go inside square brackets and are separated by semicolons. Each citation must have a key, composed of ‘@’ + the citation identifier from the database, and may optionally have a prefix, a locator, and a suffix. The citation key must begin with a letter, digit, or _ , and may contain alphanumerics, _ , and internal punctuation characters ( :.#$%&-+?<>~/ ). Here are some examples:

You can also write in-text citations, as follows:

See the Pandoc Citations documentation for additional information on citation syntax.

Citation Style

Quarto uses Pandoc to format citations and bibliographies. By default, Pandoc will use the Chicago Manual of Style author-date format, but you can specify a custom formatting using CSL ( Citation Style Language ). To provide a custom citation stylesheet, provide a path to a CSL file using the csl metadata field in your document, for example:

You can find CSL files or learn more about using styles at the CSL Project . You can browse the list of more than 8,500 Creative Commons CSL definitions in the CSL Project’s central repository or Zotero’s style repository .

CSL styling is only available when the cite-method is citeproc (which it is by default). If you are using another cite-method , you can control the formatting of the references using the mechanism provided by that method.

Bibliography Generation

By default, Pandoc will automatically generate a list of works cited and place it in the document if the style calls for it. It will be placed in a div with the id refs if one exists:

If no such div is found, the works cited list will be placed at the end of the document.

If your bibliography is being generated using BibLaTeX or natbib ( Section 7 ), the bibliography will always appear at the end of the document and the #refs div will be ignored.

You can suppress generation of a bibliography by including suppress-bibliography: true option in your document metadata

Here’s an example of a generated bibliography:

Including Uncited Items

If you want to include items in the bibliography without actually citing them in the body text, you can define a dummy nocite metadata field and put the citations there:

In this example, the document will contain a citation for item3 only, but the bibliography will contain entries for item1 , item2 , and item3 .

It is possible to create a bibliography with all the citations, whether or not they appear in the document, by using a wildcard:

Using BibLaTeX or natbib

When creating PDFs, you can choose to use either the default Pandoc citation handling based on citeproc, or alternatively use natbib or BibLaTeX . This can be controlled using the cite-method option. For example:

The default is to use citeproc (Pandoc’s built in citation processor).

See the main article on using Citations with Quarto for additional details on citation syntax, available bibliography formats, etc.

When using natbib or biblatex you can specify the following additional options to affect how bibliographies are rendered:

Official websites use .gov

Secure .gov websites use HTTPS

• 2024 Trafficking in Persons Report

A PDF accessible version will be posted as soon as the ongoing accessibility and accommodation updates are concluded. Your patience is appreciated.

If you have questions about the 2024 Trafficking in Persons Report, please email  [email protected] .

• Message From the Secretary of State

Dear Reader:

Human trafficking is a stain on the conscience of our society.  It fuels crime, corruption, and violence.  It distorts our economies and harms our workers. And it violates the fundamental right of all people to be free.

Around the globe, an estimated 27 million people are exploited for labor, services, and commercial sex.  Through force, fraud, and coercion, they are made to toil in fields and factories, in restaurants and residences.  Traffickers prey on some of the world’s most marginalized and vulnerable individuals – profiting from their plight.

The State Department’s annual Trafficking in Persons Report provides the world’s most comprehensive assessment of this abhorrent practice, as well as efforts by governments and stakeholders around the globe to combat it.  By measuring progress in 188 countries – including the United States – we are advancing President Biden’s commitment to prevent trafficking, prosecute perpetrators, and protect survivors.

Even as this resource covers long-standing forms and methods of trafficking, it also examines the growing role of technology in both facilitating exploitation and countering it.

Digital tools have amplified the reach, scale, and speed of trafficking. Perpetrators use dating apps and online ads to recruit victims.  They use online platforms to sell illicit sexual content.  They leverage encrypted messaging and digital currencies to evade detection.

At the same time, technology is also one of our most powerful tools to combat this enduring scourge.  Mobile phones, social media platforms, and artificial intelligence make it possible for advocates and law enforcement to raise greater awareness about the rights of workers and migrants, locate victims and perpetrators of online sexual exploitation, and analyze large amounts of data to detect emerging human trafficking trends.

As technology makes it easier for traffickers to operate across geographies and jurisdictions, those of us committed to rooting out this horrendous crime – in government, businesses, civil society – can and must work together and coordinate our efforts.

I am grateful to everyone who contributed to this report, especially the State Department’s Human Trafficking Expert Consultant Network, who helps ensure our findings and recommendations are informed by those with lived experience of human trafficking.

I also want to recognize our TIP Report Heroes who have been essential partners in this work.  For the past 20 years, the Department of State has honored more than 170 such champions of human dignity and decency from over 90 countries – survivors, government leaders, law enforcement officials, lawyers, social workers.  Many of them have put their own safety at risk to support victims and share their stories.

The courage and persistence of survivors and advocates like these humble and inspire us all as we continue working to build a safer and more just world.

Antony Blinken

• Message From the Ambassador-at-Large

Innovation drives successful anti-trafficking work.  As criminals continually adapt to take advantage of new vulnerabilities and opportunities to exploit others, we must persistently keep pace with a rapidly evolving trafficking landscape.  This year’s introduction examines the role of digital technology, which has had a profound impact on trafficking methods and trends in recent years.  Traffickers use online platforms to recruit, groom, defraud, coerce, and exploit victims, taking advantage of the potential for anonymity offered by online spaces.  At the same time, when harnessed effectively, digital technology can strengthen our anti-trafficking response, providing opportunities for stakeholders to strengthen prevention efforts, protect victims, and partner with survivors and other stakeholders to combat the crime.

In our fight against human trafficking, we must constantly strive to connect and unite through innovation, including optimization of our use of digital technology.  Traffickers take advantage of the ever-shifting nature of the internet to exploit others; it is imperative that we too embrace technology to counter this trend.   Digital technology has given us new ways to prevent trafficking, protect victims, prosecute bad actors, and forge global partnerships to combat this crime.  This year’s report highlights a range of successful and promising innovations that set us on that path.  Developing partnerships and empowering communities most affected by human trafficking are key to combating this crime.  This report examines, for example, how current efforts to prevent and address forced labor are buoyed by strategic partnerships with workers, including worker-led approaches to advancing labor rights and standards.

The internet can provide spaces to share information, for example to train and educate youth regarding online safety, empower workers to know and protect their rights, and educate vulnerable populations to recognize indicators of exploitation.  Digital tools can provide human trafficking victims with streamlined access to services such as hotlines, peer support and therapy, and other resources for technical training and financial literacy to help survivors navigate the exit and recovery stages of human trafficking.  Technological advances can increase the speed and accuracy of data collection, an area that when harnessed effectively can aid in the identification of trafficking patterns and trends.  Stakeholders can use technology to strengthen communication and information-sharing tools that incorporate workers’ voices, increase transparency and accountability in supply chains, and streamline collaboration and data-sharing among stakeholders.

This year’s introduction also covers a topic of personal importance to me as a former prosecutor.   Utilizing strategic investigative processes can effectively shift the burden of proof away from a reliance on victim testimony, which can endanger and retraumatize victims, and onto the prosecuting authority to both strengthen criminal justice procedures and better facilitate the safety and long-term well-being of victims and survivors.  Strengthening partnerships with survivors and innovating for greater inclusion of historically marginalized communities such as those with disabilities, are crucial to the anti-trafficking movement.  Survivors must continue to be consulted early and often in the development and implementation of anti-trafficking work.  Their firsthand knowledge of the ways in which traffickers are utilizing technology for exploitation is critical to ensure effective prevention, protection, and prosecution efforts.

Governments have a responsibility to guide and leverage efforts, including the use of digital technology, to protect the rights and safety of their citizens; however, governments cannot do this alone.  Collaboration and partnerships among stakeholders – governments, tech companies, NGOs, survivor communities, and financial institutions – are more important than ever to creating a safer world without human trafficking.  A fierce commitment to innovation has the power to renew and strengthen the deep connections that bind together all of us working to end human trafficking.  The United States is proud to work alongside our partners at home and overseas as we document and disseminate efforts to end this terrible crime while also recognizing the heroes whose work around the globe brings hope to victims, empowerment to marginalized communities, and motivation to continue our collective efforts.

• Human Trafficking Defined

The Trafficking Victims Protection Act of 2000, as amended (TVPA), defines “severe forms of trafficking in persons” as:

• sex trafficking in which a commercial sex act is induced by force, fraud, or coercion, or in which the person induced to perform such an act has not attained 18 years of age; or
• the recruitment, harboring, transportation, provision, or obtaining of a person for labor or services, through the use of force, fraud, or coercion for the purpose of subjection to involuntary servitude, peonage, debt bondage, or slavery.

A victim need not be physically transported from one location to another for the crime to fall within this definition.

Exploring the Role and Impacts of Digital Technology on Human Trafficking

In today’s rapidly evolving world, technology is often a double-edged sword.   While technology has provided innovative solutions to preventing and addressing human trafficking, it has also prompted complex ethical questions and created new opportunities for criminals, including human traffickers, to be increasingly sophisticated in exploiting individuals for profit.   Traffickers use technology to recruit, control, market and exploit vulnerable individuals while also evading detection.   Traffickers do this, for example, by using the Internet to advertise and sell children online for sex, advertise false jobs on social media platforms that are actually human trafficking schemes, transfer cryptocurrency to other traffickers, and perpetuate online scam operations.   At the same time, anti-trafficking stakeholders are using technological innovations to prevent human trafficking, protect victims, and prosecute traffickers.   The 2024 Trafficking in Persons Report (TIP Report) introduction explores the challenges associated with digital technology in the fight against human trafficking and highlights how it can be used effectively by the anti-trafficking community.

Defining “Digital Technology”

Digital technology refers to an ever-expanding set of electronic systems and resources that facilitate learning, communication, entertainment, and more.   Examples include hardware, such as computers, smartphones and mobile devices, and robotics; software, including mobile applications, geolocation, online games, financial databases, web-based and cloud-based systems, and artificial intelligence (AI); and other online services, such as websites, video streaming, blogs, and social media.   For the purposes of this report, digital technologies are explored through their use by traffickers as well as by key anti-trafficking stakeholders and beneficiaries.

The Intersection between Digital Technology and Human Trafficking

One way digital technology and human trafficking can intersect occurs when traffickers use online platforms to exploit victims.   While not a novel phenomenon, renewed attention was brought to the issue because many people shifted their daily activities online at the height of the COVID-19 pandemic.   Reports from several countries demonstrated drastic increases in online commercial sexual exploitation and sex trafficking, including online sexual exploitation of children (OSEC), and demand for and distribution of child sexual abuse material (CSAM).   Traffickers have continued to advance schemes to exploit individuals using digital tools to groom, deceive, control, and exploit victims.   Some of these schemes lure individuals hundreds of miles away, including across borders, while others do not require them to leave their homes.  Increasingly, victims and survivors of human trafficking have shared that they first connected with their traffickers online.   While traffickers continue to refine and advance their use of digital technologies, governments and other anti-trafficking stakeholders must do the same to combat human trafficking.

How Traffickers Use Technology to Facilitate Trafficking

Human traffickers use a wide range of tactics to manipulate and exploit victims—using technology at every stage of their criminal activities, from the initial planning and execution of the scheme to the way in which they coerce, monitor, and maintain individuals to further their exploitative purpose and increase their profits.

Traffickers use the Internet to facilitate the identification and grooming of potential victims.   Traffickers often target and victimize individuals in vulnerable situations such as those experiencing conflict, natural disasters, poverty, challenging home lives, systemic oppression, or a combination of hardships.   The UN Office on Drugs and Crime (UNODC) identified “hunting” and “fishing” as two common strategies perpetrators use to deceive and recruit victims.   According to UNODC, online platforms help traffickers search proactively and anonymously for a specific type of individual who they believe is particularly susceptible to further their scheme (the hunting process), or passively attract potential victims by posting online and waiting for a response (the fishing process).   Perpetrators may use social media, online advertisements, websites, dating apps, and gaming platforms – or fraudulent or deceptive duplications of such tools – to hide their true identity through fake accounts and profiles while interacting with potential victims.   Once potential victims are identified and contact is established, communication through the Internet serves as a powerful tool to deceive individuals with false promises of education, employment, housing, or romantic relationships only to lure them into labor and sex trafficking situations.   For example, a trafficker may create an online business website, perhaps posing as a talent recruiter, on which they often include realistic photos to gain a victim’s trust and make them believe the opportunity is authentic and will help advance their career or improve their life.   In these cases, traffickers trick the victim into believing they can legitimately earn income not only for themselves, but for their families as well.   As trust is established, the trafficker manipulates and traps the individual in an exploitative situation through force, fraud, or coercion.   Tactics such as threatening physical abuse or harm to an individual, their reputation, future employment, financial prospects, or their loved ones, are used by traffickers to foster fear.   The internet can also serve as a platform to escalate the exploitative scheme further, including via sextortion.

The Federal Bureau of Investigation (FBI) defines sextortion as a serious crime that occurs when a perpetrator threatens to distribute private and sensitive material if the victim does not provide images of a sexual nature, sexual favors, or money.   The perpetrator, who often poses as a love interest, entices individuals to send sensitive images, which the victim believes are being shared privately, but the perpetrator then uses the images to control and coerce their victims to produce more images, perform sexual favors, or give money in cases involving sex trafficking or forced labor.   In addition to blackmailing the victims for large sums of money, traffickers may also use the content to generate additional revenue by selling the sensitive material on illicit platforms.

Additionally, traffickers can use the Internet to facilitate forced criminality, an increasingly common mechanism involving traffickers coercing their victims to engage in or support criminal activities ranging from working as part of online scam operations to commercial sex.   In online scam operations, traffickers largely recruit victims through deceitful job listings online, confine them in gated compounds, and force them to engage in online criminal activity under threat of serious harm.   Online scam operations include illegal online gambling, cryptocurrency investment schemes, and romance scams, all of which involve the victim of trafficking forming relationships with individuals in order to defraud them of significant sums.   Some traffickers compel victims to continue to work by threatening that if they seek help, they will be prosecuted for the unlawful acts committed as a direct result of being trafficked; while others are simply unaware that they are trafficking victims.

In sum, traffickers use digital tools like the Internet to amplify the reach, scale, and speed of their trafficking operations.   While the methods and means may have evolved with technological developments, the exploitation at the heart of trafficking persists, underscoring the urgent need for comprehensive and innovative approaches to investigate and combat this crime.

Challenges and Risks Technology Presents for the Anti-trafficking Community

Digital technology has broadened the scope and scale of operations for traffickers as it allows the flexibility to target and exploit victims across the world while remaining hidden and more difficult to trace.   Traffickers adapt their schemes to take advantage of the obscurity available with new online tools, such as hiding behind anonymization tools or software, and benefiting from loose regulations of online platforms.   These challenges make it increasingly difficult for law enforcement and anti-trafficking stakeholders to identify and implement coordinated solutions fast enough to effectively combat technology-facilitated human trafficking.  Constant evolution in digital technology and the ways in which it is being used also makes it difficult to concentrate efforts or decipher trafficking indicators on a given platform, because law enforcement agencies must continuously adapt their tactics, develop technical expertise, and collaborate with technology companies to effectively combat trafficking.   Additionally, NGOs and service providers with data relevant to the field may struggle with how to effectively share information while considering data ownership and ensuring privacy is being maintained and protected.

Cross-Sector Coordination Challenges  

Traffickers have widened their reach by communicating with and recruiting victims globally, which has created a need for greater global coordination among anti-trafficking stakeholders and technology experts.   These stakeholders face several challenges to coordinating a global response, including navigating diverse legal frameworks to address technology-facilitated human trafficking that transcends borders.   It is often difficult to determine which jurisdiction has authority to investigate and prosecute perpetrators and coordinate international investigation efforts involving multiple countries.   Even when the jurisdiction is established, the necessary evidence gathering and coordination often results in lengthier processes, causing further strain on law enforcement agencies.   Traffickers also take advantage of and operate with impunity due to gaps, inadequacies, or loopholes in laws and regulations to address technology-facilitated trafficking and associated activities.

The lack of sufficient funding for research and training on traffickers’ exploitation of digital tools can leave the anti-trafficking field responding reactively rather than proactively.   Capacity and resources are particularly acute challenges for law enforcement in regions with limited access to advanced technology.  Several technology-based anti-trafficking tools exist for data mining; however, many regions are unable to take advantage of these resources due to a lack of technological infrastructure and digital literacy.   Victims may also find themselves isolated and unable to easily seek help in geographical areas with limited technological capabilities, and poor internet connectivity or coverage may affect their ability to receive information and services from anti-trafficking NGOs in a timely manner.

Data Privacy, Protection, and Access

Data protection, data analysis, and data sharing are crucial methods of using digital technologies to prevent, identify, and reduce instances of human trafficking, but practitioners must consider potential negative effects on the safety and well-being of victims and survivors.   Collecting and sharing data on human trafficking cases, including victims’ personally identifiable information (PII) can be essential for law enforcement and victim support efforts, but could raise serious data privacy concerns for victims and survivors should their information be inadvertently released to the public through data breaches, which has become a common issue with digital technology in general.   NGOs and technology companies often use data mining techniques to support law enforcement in investigating offenses but may lack appropriate security protocols to properly safeguard the data and protect victims’ PII from bad actors.   Different standards for ensuring data privacy and protections across countries and concerns around national security hinder effective information sharing between governments.   Frameworks for data collection, storage, and sharing of personal data are often different, complicating international cooperation.   Governments should consider strengthening digital literacy and infrastructure, where possible, to improve data security standards and procedures, while listening to the recommendations from anti-trafficking stakeholders, including those with lived experiences of trafficking, to assess the best mechanisms for gathering, analyzing, and sharing data related to victims and survivors.    

Encryption & Anonymity

Encryption systems are one way to safeguard data in digital interactions including in web browsing, messaging apps, and financial transactions.   Such systems prevent third parties from accessing data by turning readable data into a scrambled code that can only be recovered by the receiver’s system, ensuring that only authorized parties can access the original data.   Anonymizing technology provides a high level of privacy and obscures the connection between an individual’s online activity and their real identity.   Encryption systems found in many online platforms are designed to protect the privacy and security of all online users; however, these systems and anonymizing technologies such as virtual private networks (VPNs), can also offer protection to bad actors, allowing them to avoid detection and accountability.

As with any crime, heightened anonymity may pose a major challenge for law enforcement and anti-trafficking stakeholders in identifying traffickers and their co-conspirators, whether it is the creator of a fraudulent social media account or author of an online advertisement scam.   Traffickers increasingly benefit from and rely on the protection that digital tools offer as it amplifies an offender’s ability to anonymize themselves through the entire transactional process – from the recruitment and the solicitation to the management of the transactions and relationships to the payment.  Virtual currency has even enabled a distance between those making and receiving payments and the movement of the money.  Traffickers may also hide their IP addresses and encrypt their communications, such as emails, chat messages, and file transfers.   Together this allows greater physical separation between the offender and the offense, impacting the crime itself and law enforcement’s ability to intercede.

Media or Misinformation

The proliferation of social media and online forums have increased the potential for false narratives and misinformation about human trafficking to circulate online and skew public perceptions of the crime.   Even accurate reporting on human trafficking cases and issues may unintentionally minimize the wide range of potential trafficking experiences.   Unfortunately, the most sensationalized and misleading stories tend to attract the most attention and mispresent what human trafficking is while also shifting focus away from more prevalent forms of trafficking and from marginalized populations whose exploitation may not receive the same coverage.   Such reports may also create a singular or limited perception within communities of what human trafficking looks like, perpetuating stereotypes and interfering with prevention efforts or victims’ ability to self-identify.

The Promise of Technology in Monitoring and Combating Human Trafficking

Technology also plays an important role in investigating and countering human trafficking.   Digital technology, including mobile applications, social media campaigns, and online hubs, can be used to further share information, resources, and training on human trafficking.   It can also be used to improve access to online support services for victims, survivors, and vulnerable populations.   Organizations are using data analytic tools to help identify current trends in fraudulent recruitment, map complex supply chains for links to forced labor, and detect emerging human trafficking schemes.   These tools help support information sharing used to bolster identification, investigation, and prosecution efforts by providing means to integrate and analyze data from multiple sources.

Enhancing Education and Outreach Efforts

Digital technology and literacy expand the reach of prevention efforts to raise awareness and educate the public on human trafficking globally.   Given the increase in online activity among children, governments and parents should even further prioritize education around online safety for children and youth, and could take advantage of online tools to inform children of the risks related to the internet.   Fortunately, there are already a number of beneficial training tools for young people using social media and mobile applications, as well as for parents and guardians, that help support early interventions to prevent technology-facilitated trafficking of youth.   One example of how technology is being used for public awareness is through online campaigns including the Can You See Me? campaign administered by A21, a global anti-trafficking organization in the United States, aimed at informing the general public on how to spot signs of human trafficking and where to report it.

Technology is also being used to improve awareness and outreach efforts to support worker engagement and empowerment.   Commonly used messaging apps and social media platforms, as well as specially designed worker engagement and empowerment platforms, are used to educate workers on their labor rights, including the right to organize; access legal and social services; and connect with legitimate employers and jobs.   Some tools also offer responsible employment training for managers, provide secure grievance mechanisms for workers, aggregate worker survey responses, and provide feedback opportunities, allowing workers to share information about their recruitment and work experiences.   One promising example comes from Polaris, an NGO based in the United States.   Through its Nonechka project, Polaris collaborated with technology partner Ulula on a platform that allows farmworkers in Mexico and now in the United States to share their experiences, including information on risky recruitment and employment processes.   This information also helps Polaris formulate prevention strategies, as well as inform workers about their rights, wages, and working conditions and how to access general services locally including emergency, transitional, or long-term services.

Victim Services

Digital technology tools can aid victims during the exit and recovery phases of a human trafficking experience.   Technology can play a pivotal role in victim identification, employing various methods and platforms for finding victims online and allowing for self-reporting exploitation.   For example, the Canadian NGO Center for Child Protection (C3P) operates Project Arachnid , a web crawler that searches for known CSAM.   When such material is detected, C3P sends a notice to the provider asking that the material be removed. The NGO Thorn also has an AI-powered tool that detects CSAM and tools that aid law enforcement in child sex trafficking investigations.   While digital investigative techniques, including those that make use of AI, can assist in trafficking detection, investigation, and successful prosecutions, basic communication tools such as messaging apps, SMS and text, and phone channels also offer lower-tech and straightforward avenues for victims to communicate with service providers in real time.   Successful tools to advance victim services include those that facilitate and increase access to victim resource hotlines, virtual peer community spaces, and financial inclusion resources.   There are also online tools to bolster training and technical assistance for professionals who wish to support victims and survivors during the aftermath of victimization and to navigate the criminal justice system.   Most of these tools are mobile applications and leverage web- and cloud-based solutions for victim services.   The GraceCity App, for example, developed by anti-trafficking advocates in Sacramento, California, is a mobile application that offers victims and survivors details on the community resources in their area.   The app can canvass thousands of first responders and provide users with useful resources including nearby NGOs, medical professionals, social workers, and therapists.   Technologically enhanced interventions can be instrumental in overcoming challenges to victim identification, outreach, and intervention, providing real-time communication channels that are accessible, secure, and more efficient in providing immediate assistance tailored to the individual’s situation and unique needs.

Data Collection and Sharing Efforts

As mentioned earlier, data collection, data analysis, and data sharing are crucial components of using digital technologies to prevent, identify, and reduce instances of human trafficking.   Anti-trafficking stakeholders have created tools and established new initiatives to improve their data collection and sharing to support investigation and prosecution efforts.   For example, social media and communication platforms are rich sources of information for law enforcement investigations, but combing through large-scale datasets can be time consuming and labor intensive.   A diverse group of stakeholders, including governments, international organizations, civil society organizations, private sector businesses, and information technology professionals developed technology tools to assist in anti-trafficking efforts.   These tools help anti-trafficking stakeholders collect and analyze vast amounts of qualitative and quantitative data through techniques such as data mining, machine learning, and natural language processing.   These digital tools not only enhance the utility and speed of traditional data collection methods used for case management and investigative purposes, but also make it easier for anti-trafficking actors to analyze the data to share real-time insights that better equip the field to address and combat trafficking.   Despite this potential, reports show that NGOs have traditionally underutilized such tools due to lack of knowledge, access, expertise, and funding, and more information is needed to better understand barriers to use.    

Anti-trafficking applications can help investigators perform pattern analyses from big-data searches encompassing structured and unstructured data from sources including social media.   These analyses allow investigators to understand traffickers’ online activities as well as their most frequently used platforms and profiles used to target and mislead victims.  For example, the Counter Trafficking Data Collaborative (CTDC), developed by the International Organization for Migration, brings together anti-trafficking organizations from around the world to make human trafficking data publicly available in a central, accessible online platform.   The goal of CTDC is to break down information sharing barriers and equip the anti-trafficking community with reliable data. CTDC offers primary, individual-level data scrubbed of personally identifiable information on victims of human trafficking that can be used to track human trafficking trends globally.

From identifying trafficking patterns to increasing accountability within supply chains to prevent forced labor, the multifaceted nature of data collection and sharing requires multidisciplinary partnerships for the benefits of data-related solutions to fully materialize.   Data collection and sharing among several anti-trafficking stakeholders is key to effectively developing anti-trafficking policies, identifying victims, prosecuting the perpetrators, and mapping where and how traffickers and transnational criminal networks operate.   Collaboration on data collection and sharing should particularly be encouraged between sectors and stakeholders equipped with capabilities to collect data and gather intelligence and insights.   Such stakeholders should include NGOs, survivor-led organizations, individuals with lived experience of human trafficking, and intelligence or investigative agencies.   The Traffik Analysis Hub is another example of a global solution that supports joint analysis of large AI-generated data sets, providing partners with the ability to pool data assets to generate new insights into patterns and hotspots of trafficking incidents.   Information from the Traffik Analysis Hub, which was developed with the support of IBM, is also shared with law enforcement so actions can be taken to disrupt trafficking operations.   The ability to use large quantities of data and data analytics also helps to minimize the use of individual victim information and victim testimony to support trafficking prosecutions.

However, the collection and analysis of large data sets present several significant risks and challenges including privacy and data security concerns, misuse of data, and bias and inaccuracies that could result from reliance on large data collections.   To mitigate these risks, it is crucial to implement data protection measures to ensure ethical data collection practices and protect individual’s right to privacy.

• Lessons Learned and Looking Ahead

The Role of Government

Governments have the responsibility to regulate the use of technology, including in anti-trafficking efforts, such as disincentivizing the abuse of online resources for trafficking.   Efforts to legislate and regulate tech companies to better prevent and address human trafficking will have broader impacts in areas such as privacy, security, and innovation, so careful consideration with a wide range of stakeholders will be needed.

Right now, government approaches to addressing emerging issues in the digital era continue to be fragmented, in part due to the scale and speed at which digital technology evolves.   Inconsistent policies make it difficult to combat tech-facilitated crimes due to their transnational and multi-jurisdictional elements.   Some governments are recognizing the importance of regulating digital platforms to protect and further national security, economic development, and human rights priorities and many have begun developing policies around the production, deployment, and use of digital technologies.   Collaboration and coordination at the international and national level will make it harder for perpetrators to continue their illicit activities.

Globally, government investment in digital technologies for anti-trafficking efforts remains low, despite significant potential.   Private sector and civil society stakeholders, including those with lived experience, will be critical to identifying additional government-funded research and development necessary to channel the positive aspects of technology and protect those who use it.   An OSCE and Tech Against Trafficking analysis found that out of 305 technology tools readily available to combat human trafficking, only 9 percent were developed through government investments.   Consideration should also be given as to how best to develop and share existing tech tools in regions of the world that lack such tools.    

The Role of Law Enforcement

Law enforcement agencies are tasked with combating technology-facilitated human trafficking by monitoring online platforms, investigating suspicious activity, and prosecuting perpetrators.   Law enforcement agencies can continuously look for new ways to proactively investigate trafficking cases by harnessing technological innovations to collect evidentiary material.   For proactive investigations, agencies can focus on increasing internal capacity to integrate data analytics and artificial intelligence tools into casework, as well as collaborate and coordinate with NGOs and technology companies in tool development, training, and information sharing – with due regard to privacy safeguards.

Law enforcement agencies have found ways to leverage technology to help identify, track, and monitor illicit activity by following its digital footprint.   A digital footprint could include online activity, from websites visited to social media posts published, and can help paint a clearer picture of a trafficker’s identity, location, and criminal activity.   Such publicly available digital evidence is often helpful in building a trafficking case.

Examples of law enforcement leveraging online data to support criminal investigations include:

• In September 2023, The Netherlands, supported by EUROPOL, coordinated a 3-day investigation targeting online criminal activities that enable human trafficking.   Law enforcement from 26 countries alongside representatives from European Labor Authority, European Police College (CEPOL), INTERPOL, OSCE, and International Justice Mission, focused on identifying online platforms and social media to recruit victims for sexual and labor exploitation.   This led to identifying 11 suspected human traffickers and 45 potential victims.
• In 2023, Operation Synergia led by INTERPOL, targeted human trafficking rings linked to cyber scam centers.   Partnering with a leading creator of cybersecurity technology, Group-IB’s Threat Intelligence and High-Tech Crime Investigation teams collected and shared information with INTERPOL and other law enforcement agencies to locate over 2,400 IP addresses associated with cybercrime, leading to the removal of the servers.   Over 60 law enforcement agencies from 50 countries participated in the search and seizure of 1,300 malicious servers and electronic devices, shutting down 70 percent of identified cybercrime command servers while the remaining 30 percent are under investigation.

Law enforcement agencies must be better resourced to combat technology-facilitated human trafficking or use technology for human trafficking investigations.   This can be achieved through greater investment in staff, training, and software.   Law enforcement officers must be trained on monitoring and evaluating online platforms and developing technical knowledge.   Law enforcement agencies can deepen their capabilities by establishing cybercrime units tasked with data analysis and decryption technology.   Cooperation protocols with NGO and private sector partners will further data sharing and the design and deployment of new tools that are victim-centric and trauma- and survivor-informed.   Multilateral knowledge exchange should also be considered when developing technology tools to prevent traffickers from exploiting the gaps in capacity and legislation between law enforcement agencies.   Governments should also focus on implementation of the UN Convention against Transnational Organized Crime and its Protocol to Prevent, Suppress and Punish Trafficking in Persons, Especially Women and Children to address legislation gaps.   Lastly, law enforcement agencies with access to victims’ personal data must have protection standards in place on the collection and storage of such personal data.

The Role of the Financial Sector

The financial sector also plays a vital role in combating human trafficking.   According to the International Labour Organization, human trafficking is responsible for an estimated $236 billion in illicit profits annually.   All forms of currency, including both traditional and digital assets (e.g. cryptocurrency), can be laundered, requiring a multidimensional approach involving legislative measures, collaboration between justice and financial sectors, technological innovations, and ethical considerations to detect their use in criminal enterprises.   The financial sector’s role extends beyond upholding regulatory frameworks, often guided by promising practices in the area of corporate responsibility.  As illicit proceeds from human trafficking can intersect with formal financial systems at any stage of a human trafficking crime, it is essential that financial institutions proactively manage the risk of technology-facilitated human trafficking and train staff on the financial indicators and techniques used by human traffickers to launder money.   Coordination in this area should also include financial institutions working with law enforcement, technology companies, and survivors to inform their efforts, including on the development of training programs to enhance the ability of frontline staff and other industry professionals to detect transactions connected to human trafficking, how and when to intervene, and how to determine when a third party is benefitting from the exploitation of another.

Globally, the Financial Action Task Force (FATF) is the standard-setting body for anti-money laundering and countering the financing of terrorism and weapons proliferation.   More than 200 countries have agreed to implement FATF recommendations, which provide guidance for member countries to identify, assess, and understand money laundering and illicit finance risks and to mitigate those risks.   Since 2019, the FATF has included guidance on how to assess and mitigate risks associated with digital assets and digital asset service providers, including recommendations on how member jurisdictions should regulate cryptocurrency transactions.   Countries are encouraged to adapt FATF recommendations to their specific context to establish or enhance efforts to tackle illicit financial transactions.

Following digital financial transactions human traffickers leave behind can identify broader criminal networks and make it more difficult to profit from human trafficking.   For this reason, responsible innovation in technology and proactive partnerships between governments, financial institutions, law enforcement, and civil society experts, including those with lived experiences are an important part of identifying illicit financial activity associated with human trafficking and safeguarding financial systems against human trafficking, money laundering, terrorist financing, and other serious financial crimes.

The Role of NGOs

NGOs are one of the primary users and drivers of the development of anti-trafficking technological tools, algorithms, and programs and use digital technology to provide survivors easier access to resources and support services such as online counseling and helplines.   NGOs are also well-positioned to build strong partnerships with and bridge the gap between technology companies, governments, survivors, and community organizations to enhance the creation and broaden the use of essential anti-trafficking application services.   NGOs can use these relationships to advocate for and consult on the creation of standardized response frameworks, data privacy for victims when using anti-trafficking technology tools, and solutions to other emerging concerns around technology.    

A result of a partnership between NGOs and international organizations (IOs) to advance work under the UN’s Global Compact on Decent Work in Global Supply Chains, the Interactive Map for Businesses of Anti-Human Trafficking Organizations was developed to be a user-friendly repository database that tracks global and local initiatives and organizations that businesses can partner with on anti-trafficking efforts.   The map provides NGOs an opportunity to optimize coordination, research, awareness, and prevention efforts through the ability to identify specific industry initiatives to combat human trafficking via a filter tool that organizes data based on industry, geography, or issue, among others.

The Role of the Technology Industry

The technology industry, while providing many benefits can also inadvertently create environments that facilitate trafficking and other crimes, including by creating a space that facilitates unsupervised access to children.  Many companies acknowledge that the popularity and simplicity of user-friendly application services contribute to unsafe environments by providing traffickers with easy access to communicate, advertise, and coordinate illicit activity. Some technology companies have taken steps to address these challenges, but ongoing efforts are needed to enhance security measures, improve content moderation, and collaborate with law enforcement to prevent technology from being used by bad actors for illicit activities. Technology can play several roles to include using data and algorithm tools to detect human trafficking patterns, identify suspicious and illicit activity, and report such activity to law enforcement.   Technology companies play a pivotal role in protecting victims and vulnerable individuals from being exploited through the use of their online platforms and must be part of the solution to combat human trafficking.

Some technology companies are increasingly investing in better language models and machine learning to allow computers to learn from and make predictions based on data trends.   These tools are a useful resource as they may provide law enforcement agencies with powerful tools to more efficiently target illicit activity and possible cases for investigation, but they are not required.   Language models can detect, translate, and categorize key words used by traffickers to identify trafficking communication patterns.   It can be used to aid international investigations and target traffickers since they often recruit individuals in different countries primarily communicating through technology and internet platforms in the victims’ native language.   Alongside language models, other machine learning tools have the ability to cross reference various data sets, such as combining law enforcement data and transit trends, to help stakeholders formulate specific algorithms that can trace traffickers’ patterns.   These tools can enhance collaboration between law enforcement agencies and other stakeholders, as well as quickly close the gap for countries that may not have established effective tools to track or investigate human trafficking.   As developers continue to build and enhance anti-trafficking applications for protection, prevention, or prosecution functions, they must be designed to tackle the unique challenges and scenarios that arise in the context of human trafficking.

Regardless of the progress provided by technology tools, it is crucial that anti-trafficking stakeholders be cautious of becoming overly reliant on using AI and facial recognition technology to identify victims of human trafficking and the traffickers.   These tools should enhance, not replace, existing methods.   Developers, policymakers, and anti-trafficking leaders seeking to improve anti-trafficking efforts with AI and facial recognition tools should prioritize establishing data privacy rights and ensuring individuals’ information is protected throughout data-sharing processes.

Taking Action: Considerations for Anti-Trafficking Stakeholders

Harnessing technology to advance the shared goal of governments, law enforcement actors, technology companies, and civil society to eliminate human trafficking will require proactive efforts by all actors to resolve the complex, often contradictory byproducts of technological progress.   Governments can adopt policies and legislation that recognize human traffickers’ use of technology and incentivize the positive use of technology tools to investigate and counter human trafficking, and must coordinate implementation of these policies through collaboration with the technology sector, the financial sector, anti-trafficking NGOs, and lived experience experts who can help build capacity to monitor online spaces, train staff, develop technology tools, and cultivate technical expertise.   Law enforcement entities can use technology to conduct data analytics on traffickers, their connections, and their modus operandi to inform human trafficking investigations and related money laundering activities, bolster the identification of victims online, and enhance safety nets.   Governments can also strengthen data security from unauthorized access to better protect victims and investigations and find technology-based solutions that further privacy, safety, and trust.   Multilateral forums offer important venues for governments to share best practices and develop new policies and standards that uphold current international frameworks but are also tailored to regional and local trafficking situations and existing technological capabilities.

NGOs can advocate for policies and tech solutions that empower vulnerable individuals, strengthen access to services, advance digital learning, and further privacy protections.   Local communities, NGOs, and those with lived experience know current trafficking trends and how technology is being used to facilitate crimes, and thus can recommend ways to enhance trauma-informed and victim-centric tech solutions and ways to get tech tools in the hands of those who most need them.   The technology sector should work to ensure their online platforms are being used for legitimate purposes and ensure privacy and safety for users.   The technology sector can also invest in new technologies that include detecting and countering child sexual abuse material, livestreaming trafficking offenses, and fraudulent cyber scams or job offers among other crimes occurring on their platforms.   Governments, anti-trafficking NGOs, companies, and innovators can also employ routine audits of technology tools as digital technologies evolve to limit negative consequences and better guarantee efficient, sustainable means to address human trafficking.

Collaborative efforts allow all relevant parties to inform and promote best practices for the responsible and safe use of technology by a variety of actors, including individuals vulnerable to technology-facilitated trafficking.   The challenge is immense, but political will, resource investments, innovation, and partnerships will help prevent traffickers’ use of technology for exploitation, and instead amplify and scale the best applications that assist all anti-trafficking stakeholders in meeting our obligations to combat the newest continuously evolving aspects of this pernicious crime.

• Understanding Human Trafficking

“Trafficking in persons” and “human trafficking” are umbrella terms—often used interchangeably—to refer to a crime whereby traffickers exploit and profit at the expense of adults or children by compelling them to perform labor or engage in commercial sex.  When a person younger than 18 is used to perform a commercial sex act, it is a crime regardless of whether there is any force, fraud, or coercion involved.

The United States recognizes two primary forms of trafficking in persons:  forced labor and sex trafficking.  The basic meaning of these forms of human trafficking and some unique characteristics of each are set forth below, followed by several key principles and concepts that relate to all forms of human trafficking.

More than 180 nations have ratified or acceded to the UN Protocol to Prevent, Suppress and Punish Trafficking in Persons (the UN TIP Protocol), which defines trafficking in persons and contains obligations to prevent and combat the crime.

The United States’ TVPA and the UN TIP Protocol contain similar definitions of human trafficking.  The elements of both definitions can be described using a three-element framework focused on the trafficker’s 1) acts; 2) means; and 3) purpose.  All three elements are essential to form a human trafficking violation.

Forced Labor

Forced Labor, sometimes also referred to as labor trafficking, encompasses the range of activities involved when a person uses force, fraud, or coercion to exploit the labor or services of another person.

The  “acts”  element of forced labor is met when the trafficker recruits, harbors, transports, provides, or obtains a person for labor or services.

The  “means”  element of forced labor includes a trafficker’s use of force, fraud, or coercion.  The coercive scheme can include threats of force, debt manipulation, withholding of pay, confiscation of identity documents, psychological coercion, reputational harm, manipulation of the use of addictive substances, threats to other people, or other forms of coercion.

The  “purpose”  element focuses on the perpetrator’s goal to exploit a person’s labor or services.  There is no limit on the location or type of industry.  Traffickers can commit this crime in any sector or setting, whether legal or illicit, including but not limited to agricultural fields, factories, restaurants, hotels, massage parlors, retail stores, fishing vessels, mines, private homes, or drug trafficking operations.

All three elements are essential to constitute the crime of forced labor.

There are certain types of forced labor that are frequently distinguished for emphasis or because they are widespread:

Domestic Servitude

“Domestic servitude” is a form of forced labor in which the trafficker requires a victim to perform work in a private residence.  Such circumstances create unique vulnerabilities.   Domestic workers are often isolated and may work alone in a house.  Their employer often controls their access to food, transportation, and housing.  What happens in a private residence is hidden from the world – including from law enforcement and labor inspectors – resulting in barriers to victim identification.  Foreign domestic workers are particularly vulnerable to abuse due to language and cultural barriers, as well as a lack of community ties.  Some perpetrators use these types of conditions as part of their coercive schemes to compel the labor of domestic workers with little risk of detection.

Forced Child Labor

The term “forced child labor” describes forced labor schemes in which traffickers compel children to work.  Traffickers often target children because they are more vulnerable.  Although some children may legally engage in certain forms of work, forcing or coercing children to work remains illegal.  Forms of slavery or slavery-like practices – including the sale of children, forced or compulsory child labor, and debt bondage and serfdom of children – continue to exist, despite legal prohibitions and widespread condemnation.  Some indicators of forced labor of a child include situations in which the child appears to be in the custody of a non-family member and the child’s work financially benefits someone outside the child’s family; or the denial of food, rest, or schooling to a child who is working.

Sex Trafficking

Sex trafficking encompasses the range of activities involved when a trafficker uses force, fraud, or coercion to compel another person to engage in a commercial sex act or causes a child to engage in a commercial sex act.

The crime of sex trafficking is also understood through the “acts,” “means,” and “purpose” framework.  All three elements are required to establish a sex trafficking crime (except in the case of child sex trafficking where the means are irrelevant).

The  “acts”  element of sex trafficking is met when a trafficker recruits, harbors, transports, provides, obtains, patronizes, or solicits another person to engage in commercial sex.

The  “means”  element of sex trafficking occurs when a trafficker uses force, fraud, or coercion.  Coercion in the case of sex trafficking includes the broad array of means included in the forced labor definition.  These can include threats of serious harm, psychological harm, reputational harm, threats to others, and debt manipulation.

The  “purpose”  element is a commercial sex act.  Sex trafficking can take place in private homes, massage parlors, hotels, or brothels, among other locations, as well as on the internet.

Child Sex Trafficking

In cases where an individual engages in any of the specified “acts” with a child (under the age of 18), the means element is irrelevant regardless of whether evidence of force, fraud, or coercion exists.  The use of children in commercial sex is prohibited by law in the United States and most countries around the world.

Key Principles and Concepts

These key principles and concepts relate to all forms of trafficking in persons, including forced labor and sex trafficking.

Human trafficking can take place even if the victim initially consented to providing labor, services, or commercial sex acts.  The analysis is primarily focused on the trafficker’s conduct and not that of the victim.  A trafficker can target a victim after a victim applies for a job or migrates to earn a living.  The trafficker’s exploitative scheme is what matters, not a victim’s prior consent or ability to meaningfully consent thereafter.  Likewise, in a sex trafficking case, an adult victim’s initial willingness to engage in commercial sex acts is not relevant where a perpetrator subsequently uses force, fraud, or coercion to exploit the victim and cause them to continue engaging in the same acts.  In the case of child sex trafficking, the consent of the victim is never relevant as a child cannot legally consent to commercial sex.

Neither U.S. law nor international law requires that a trafficker or victim move across a border for a human trafficking offense to take place.  Trafficking in persons is a crime of exploitation and coercion, and not movement.  Traffickers can use schemes that take victims hundreds of miles away from their homes or exploit them in the same neighborhoods where they were born.

Debt Bondage

“Debt bondage” is focused on human trafficking crimes in which the trafficker’s primary means of coercion is debt manipulation.  U.S. law prohibits perpetrators from using debts as part of their scheme, plan, or pattern to compel a person to work or engage in commercial sex.  Traffickers target some individuals with an initial debt assumed willingly as a condition of future employment, while in certain countries traffickers tell individuals they “inherited” the debt from relatives.  Traffickers can also manipulate debts after the economic relationship begins by withholding earnings or forcing the victim to assume debts for expenses like food, housing, or transportation.  They can also manipulate debts a victim owes to other people.  When traffickers use debts as a means to compel labor or commercial sex, they have committed a crime.

The Non-Punishment Principle 

A victim-centered and trauma-informed approach is key to successful anti-trafficking efforts.  A central tenet of such an approach is that victims of trafficking should not be inappropriately penalized solely for unlawful acts they committed as a direct result of being trafficked.  Effective implementation of the “non-punishment principle,” as it is increasingly referred to, not only requires recognizing and embracing the principle in regional and national laws, but also increasing proactive victim identification.

State-Sponsored Human Trafficking

While the TVPA and UN TIP Protocol call on governments to proactively address trafficking crimes, some governments are part of the problem, directly compelling their citizens into sexual slavery or forced labor schemes.  From forced labor in local or national public work projects, military operations, and economically important sectors, or as part of government-funded projects or missions abroad, officials use their power to exploit their nationals.  To extract this work, governments coerce by threatening the withdrawal of public benefits, withholding salaries, failing to adhere to limits on national service, manipulating the lack of legal status of stateless individuals and members of minority groups, threatening to punish family members, or conditioning services or freedom of movement on labor or sex.  In 2019, Congress amended the TVPA to acknowledge that governments can also act as traffickers, referring specifically to a “government policy or pattern” of human trafficking, trafficking in government-funded programs, forced labor in government-affiliated medical services or other sectors, sexual slavery in government camps, or the employment or recruitment of child soldiers.

Unlawful Recruitment or Use of Child Soldiers

Another manifestation of human trafficking occurs when government forces or any non-state armed group unlawfully recruits or uses children – through force, fraud, or coercion – as soldiers or for labor or services in conflict situations.  Children are also used as sex slaves.  Sexual slavery, as referred to here, occurs when armed groups force or coerce children to “marry” or be raped by commanders or combatants.  Both male and female children are often sexually abused or exploited by members of armed groups and suffer the same types of devastating physical and psychological consequences associated with sex trafficking.

Accountability in Supply Chains

Forced labor is well documented in the private economy, particularly in agriculture, fishing, manufacturing, construction, and domestic work; but no sector is immune.  Sex trafficking occurs in several industries as well.  Most well-known is the hospitality industry, but the crime also occurs in connection with extractive industries where activities are often remote and lack meaningful government presence.  Governments should hold all entities, including businesses, accountable for human trafficking.  In some countries, the law provides for corporate accountability in both the civil and criminal justice systems.  U.S. law provides such liability for any legal person, including a business that benefits financially from its involvement in a human trafficking scheme, provided that the business knew or should have known of the scheme.

Topics of Special Interest

• Trafficking in Persons for the Purpose of Organ Removal

Trafficking in persons for the purpose of organ removal is one of the least reported and least understood forms of trafficking – but one that experts believe may be growing.  Like sex trafficking and labor trafficking, it is ultimately a crime that exploits human beings for economic profit.  Trafficking in persons for the purpose of organ removal is “a form of trafficking in which an individual is exploited for their organ, including by coercion, deception and abuse of a position of vulnerability.”  The crime is sometimes confused with organ trafficking; however, organ trafficking refers more broadly to the illicit trade or exchange of organs for financial or other material gain.  In organ trafficking, the focus is on the organ itself; conversely, with trafficking in persons for the purpose of organ removal, the focus is on the individual.  The key global anti-trafficking instrument, the Palermo Protocol, defines exploitation to include at a minimum “the removal of organs,” alongside sexual exploitation, forced labor, and slavery or slavery-like practices.

Often, in cases of trafficking in persons for the purpose of organ removal, would-be donors are tricked into organ donation.  Common deceptions include being told human beings have three kidneys or that kidneys regenerate after being removed, or being falsely told they will experience no negative side effects from a kidney removal (in fact, kidney donors may face serious lifelong medical challenges and be unable to work).  Although kidneys are the most common organ involved, other organs and tissues, such as livers, corneas, or skin, are also sought, although notably the Palermo Protocol’s definition covers only exploitation for the removal of organs, not of tissues or cells.  Victims may not be paid at all, or they may receive some payment; importantly, an individual can still be a victim of trafficking in persons or other human rights abuses even if they received some form of payment.

The 2022 UNODC Global Report on Trafficking in Persons noted trafficking in persons for the purpose of organ removal constituted only 0.2 percent of detected victims of trafficking compared to the much higher numbers for sex trafficking and forced labor.  UNODC has warned “existing barriers to reporting suggest that the full scale of this phenomenon is not yet known.”  The report also noted an uptick in cases (from 25 in 2017 to 40 in 2018), though the overall numbers are small.  Between 2008 and 2022, UNODC reported 700 victims of trafficking in persons for the purpose of organ removal while noting “the scale of the problem is likely to be much larger.”

Trafficking in persons for the purpose of organ removal is difficult to detect for several reasons.  Data-collection efforts are scarce, and some instances of trafficking in persons for the purpose of organ removal may be mistakenly classified or prosecuted as organ trafficking.  Moreover, unlike sex trafficking and labor trafficking, which can take place over months or years, trafficking in persons for the purpose of organ removal usually involves a brief, often one-time, interaction.  Like other forms of trafficking, transactions have increasingly shifted online and become more sophisticated, facilitating the emergence of smaller networks, and even independent brokers and suppliers, which may be more difficult to track.

Both the 2020 and 2022 UNODC Global Report on Trafficking in Persons and a 2021 INTERPOL report suggest North Africa and the Middle East have the highest share of detected victims, in part due to the prevalence of large vulnerable communities, limited access to medical care, and corruption.  The media and some NGOs have also reported instances of trafficking in persons for the purpose of organ removal for ritual purposes.  However, instances of trafficking in persons for the purpose of organ removal can occur worldwide.  In a case recently prosecuted in the United Kingdom, the victim was recruited in Nigeria and brought to London, where the organ removal was to take place (see inset box for additional information).  In another case reported by the BBC in late 2023, revealing the connection between organ trafficking and trafficking in persons for the purpose of organ removal, Pakistani police arrested eight members of an organ-trafficking ring that “lure[d] vulnerable patients from hospitals” and conducted transplants “often without the patient knowing;” several people died from these procedures.

The government of the People’s Republic of China, in particular, has been accused of systematically forcibly removing organs from political prisoners.  For example, a group of UN human rights experts noted in 2021:

Forced organ harvesting in China appears to be targeting specific ethnic, linguistic, or religious minorities held in detention, often without being explained the reasons for arrest or given arrest warrants, at different locations.  We are deeply concerned by reports of discriminatory treatment of the prisoners or detainees based on their ethnicity and religion or belief.

(Note:  forced organ harvesting is not a term defined in the Palermo Protocol, but the phrase is commonly used to describe trafficking in persons for the purpose of organ removal.)

While there is a need for additional studies and reporting to thoroughly assess the geographic and numeric scope of trafficking in persons for the purpose of organ removal, stakeholders are taking steps to attempt to address the issue.  A number of regional instruments, including the Council of Europe Convention against Trafficking in Human Organs, the Council of Europe Convention on Action against Trafficking in Human Beings, and the ASEAN Convention against Trafficking in Persons, Especially Women and Children, recognize organ removal as a form of trafficking-related exploitation.

Experts have also proposed ideas to increase the supply of legally donated organs, with the intention of making trafficking in persons for the purpose of organ removal and organ trafficking less lucrative.  These ideas include transitioning deceased organ donation from an opt-in to an opt-out system; implementing paired exchanges matching donors and patients; creating awareness campaigns targeted at potential donors, including addressing barriers to altruistic organ donation and providing guidance on how to prevent trafficking in persons for the purpose of organ removal; building the capacity of law enforcement to detect and investigate these cases; and improving transparency and reporting around transplantation.

Twenty-one-year-old “Daniel” (not his real name) scraped out a living selling mobile-phone accessories at an outdoor street market in Lagos, Nigeria, but he thought his luck took a turn when he was offered a “life-changing opportunity” to work in the United Kingdom.   The people he believed were his employers instructed him to take a blood test, which he thought was required to secure a visa.   The people he had been working with put him on a flight and confiscated his passport.   Within days of arriving in London, Daniel was taken to the Royal Free Hospital, where doctors discussed the risks of the upcoming “operation” – something Daniel knew nothing about.   Seeing his confusion, the doctors sent Daniel away – but did not notify authorities.   Later, Daniel overheard a conversation among those who had brought Daniel to the UK speaking about sending him back to Nigeria to remove his kidney.   Scared, Daniel escaped, sleeping on the streets for several days until walking into a police station and telling his story.   Daniel’s bravery eventually led to the UK’s first prosecution of – and convictions for – human trafficking for the purpose of organ removal.   A prominent Nigerian politician and his wife who had arranged the trafficking scheme to provide their daughter with a kidney transplant, as well as a Nigerian doctor, were convicted in 2023.

This story was published by the BBC, Organ Harvesting:   Trafficked for His Kidney and Now Forced into Hiding , June 26, 2023 ( https://www.bbc.com/news/65960515 ); for additional details, see the Crown Prosecution Service, Updated with Sentence: Senior Nigerian Politician Jailed Over Illegal UK Organ-Harvesting Plot , May 5, 2023 ( https://www.cps.gov.uk/cps/news/updated-sentence-senior-nigerian-politician-jailed-over-illegal-uk-organ-harvesting-plot ).

• Connecting the Dots:  Preventing Forced Labor by Empowering Workers

Forced labor, a form of human trafficking, is universally condemned yet prevalent in nearly every industry globally.  The International Labour Organization (ILO) reports forced labor has grown in recent years – with no region of the world or private sector industry spared – and the majority of forced labor takes place in the private economy, meaning forced labor is connected to global supply chains.  These facts demand a re-examination of current efforts to prevent and address forced labor, including the need to elevate the voice and agency of workers and place them at the center of prevention efforts through strategic partnerships.  In addition, particular focus should be placed on vulnerable populations, such as migrant workers.  ILO research shows the rates of forced labor among migrant workers are higher if migration is irregular or poorly governed, or where recruitment practices are unfair or unethical.

Although prosecuting specific traffickers and assisting individual victims are critical for governments combating forced labor, successful interventions to prevent forced labor require a range of stakeholders willing to visualize and address broader systemic issues centered on worker’s labor rights, including those of migrant workers, as well as supply chain power imbalances.  For governments, this may require additional resources and oversight of workplaces, especially in key sectors where forced labor is often present; better monitoring of the labor recruitment industry; increased outreach to and protections for migrant workers; and improved screening measures by well-trained officials targeting populations at greater risk of exploitation.  For the private sector, it will mean proactively supporting workers and their ability to advocate for themselves, setting clear expectations of suppliers, and rooting out practices that create environments ripe for exploitation.

Worker-led Approaches to Prevent Forced Labor 

Over time, policymakers, academics, and other stakeholders have expanded their thinking to encompass worker-led approaches to address the vulnerabilities of workers and prevent forced labor.  Such approaches include advancing labor rights and standards – including freedom of association, collective bargaining, and the remediation of labor rights abuses – as well as worker-driven approaches that include migrants.  Research has demonstrated workers are most vulnerable to forced labor if they do not know their rights, are excluded from labor protection laws, and lack access to grievance mechanisms.  Workers in the informal sector and women and girls, who often face gender-based violence and harassment in the workplace, can be particularly vulnerable.  One of the most effective ways to prevent worker exploitation is to guarantee workers’ full rights to freedom of association and collective bargaining.  Independent and democratic labor unions, led by workers, are best able to represent workers’ collective interests at multiple levels, including at the national, subnational, regional, and international levels.  Collaborating with local workers, regional international organizations, and global union federations, these unions can reach the most vulnerable workers, organize across a labor sector, and advocate for key policy changes, including responsible migration management.  As a result, they are well positioned to engage powerful transnational companies to address forced labor in their supply chains.

According to ILO’s Director of the Bureau for Workers’ Activities, there have been positive developments over time with unions reaching outside of their traditional base to include the unionization of self-employed workers.  Many unions have also expanded to include more informal economy, migrant, and domestic workers, which is key as many of these workers are governed by a variety of working arrangements, including fixed-term and temporary contracts.

This diversification of representation is important as unions allow workers to negotiate for better working conditions, influence the laws and policies that impact them, and remediate labor rights abuses.  Unions play a pivotal role in securing legislated labor protections and rights, such as legally entitled wages and benefits, occupational safety and health protections, overtime pay, and medical leave.  Union-led efforts help raise the wages for the lowest paid and least skilled workers and lead to fewer hours of unpaid overtime work.  Unions play crucial roles in identifying labor rights abuses and enforcing rights on the job.  One of the most effective ways to prevent the exploitation of migrant workers is by guaranteeing their right to join unions in destination countries.  The multiplier impact is notable, as industries with strong union representation tend to have lower levels of labor rights abuse, the worst forms of child labor, and forced labor.

Where there is an absence of unions, there at least should be effective, secure mechanisms for worker communication and grievances.   Governments should strongly encourage employers to provide mechanisms so workers can advocate for their rights, discuss workplace issues of concern and interest, and communicate grievances, even if that takes place outside a formal union mechanism.  Such mechanisms are essential to preventing forced labor, as they position workers, including migrant workers, to better protect themselves against coercion, deception, discrimination, and other forms of exploitation.

Promising Practices in Improving Labor Conditions 

Several examples stand out as raising labor conditions for workers.  

Dindigul Agreement, India

Indian women and the Dalit-worker led union Tamil Nadu Textile and Common Labor Union (TTCU) signed in April 2022 a historic agreement with clothing and textile manufacturers and major fashion companies to end gender-based violence and harassment at factories in the southern state of Tamil Nadu.  This enforceable brand agreement resulted in multinational companies committing to support a worker- or union-led program at certain factories or worksites.  An assessment a year later by the multi-stakeholder oversight committee found that the workers are now effectively able to detect, remediate, and prevent gender-based violence and harassment.  In addition, the TTCU has conducted peer education training of more than 2,000 workers and management, held more than 30 meetings with management to resolve grievances, and recruited 58 workers as monitors to help remediate gender-based violence and harassment throughout the factory units.

Freedom of Association for Garment Workers, Honduras 

In the decade that has followed Honduran workers signing an agreement with major brand Fruit of the Loom, close to 50 percent of all Honduran garment workers are now employed at a factory where an independent union represents the workforce.  As a result of this signed collective bargaining agreement, workers have won increased wages and benefits and witnessed a reduction in verbal harassment and gender-based violence.

While unionization rates vary considerably across the globe, the ILO notes other encouraging examples.  In Uzbekistan, trade unions have organized seasonal workers and facilitated dual affiliation to different unions in other countries.  In Moldova, unions have begun to establish agreements with unions in destination countries so that migrants have protection when working abroad .  In Benin, Botswana, and Mauritius, trade unions have set up Joint Trade Union Councils, which have drawn up joint declarations, charters, and protocols on the modalities of working together in national social dialogue fora.  In Lithuania and Ukraine, unions have established structures of cross-border collaboration to improve the recruitment and representation of truck drivers in both countries.  

Overall, research has also shown that unionization has spillover effects that extend beyond union workers.  Competition means workers at nonunionized firms also often see increased wages and improved workplace safety norms.  Union members improve communities through heightened civic engagement and increased voter rates.  Unions can also boost business’ productivity by giving experienced workers more input into decisions that design better, more cost-effective workplace procedures.

Milestones, Momentum, and Motivation   

Over the last several years, government and private sector attention has become focused on resilient supply chains, and there are increasing supply chain transparency and due diligence policies, regulations, and laws globally.  In addition, various initiatives have been developed to raise the importance of workers’ agency.  It is notable that flower-sector leader Bloomia’s entire cut-flower supply chain, which encompasses farms in the United States, Chile, and South Africa, will now be certified for human rights protections by the Fair Food Program, pioneers in the worker-driven social responsibility model with its partnerships among retailers, growers, and workers.  Combined, the Partnership for Workers‘ Rights, launched by the United States and Brazil at the 2023 UN General Assembly; the Multilateral Partnership for Worker Organizing, Empowerment, and Rights (M-POWER), which is part of the U.S. Presidential Initiative for Democratic Renewal; and the 2023 U.S. Presidential Memorandum on Advancing Worker Empowerment, Rights, and High Labor Standards present a unique opportunity to proactively advance worker empowerment in the short and long term while simultaneously preventing labor rights violations and abuses, especially forced labor.  The independent UN Special Rapporteur on Contemporary Forms of Slavery made a key theme for 2024 the role of trade unions and worker organizations in preventing contemporary forms of slavery.

The timing is ideal for all stakeholders committed to preventing forced labor to fully embrace the importance of supporting, elevating, and improving labor standards, bringing workers’ voices to the policy formulation and decision-making table, and working to help the public and private sector enforce rules against unfair labor practices.  Governments should take every step to use a whole-of-government approach to advance worker rights and address gaps in labor rights protection and compliance, including for migrant workers; the private sector should see free and fair unions as critical partners in competing in the global economy while protecting workers; and other civil society  stakeholders should ensure that workers’ voices are incorporated early and often, especially when their equities are at stake.

• Human Trafficking in Cuba’s Labor Export Program

Each year, the Cuban government sends tens of thousands of workers around the globe under multi-year cooperation agreements negotiated with receiving countries.  While medical missions remain the most prevalent, the Cuban government also profited from other similarly coercive labor export programs, including those involving teachers, artists, athletes and coaches, engineers, forestry technicians, and nearly 7,000 merchant mariners worldwide.    According to a report published by the Cuban government, by the end of 2023, there were more than 22,000 government-affiliated Cuban workers in over 53 countries, and medical professionals composed 75 percent of its exported workforce.  The COVID-19 pandemic increased the need for medical workers in many places around the world, and the Cuban government used the opportunity to expand its reach by increasing the number of its medical personnel abroad through the Henry Reeve Brigades, which Cuba first initiated in 2005 to respond to natural disasters and epidemics.  Experts estimate the Cuban government collects $6 billion to $8 billion annually from its export of services, which includes the medical missions.  The labor export program remains the largest foreign revenue source for the Cuban government.

There are serious concerns with Cuba’s recruitment and retention practices surrounding the labor export program.  While the conditions of each international labor mission vary from country to country, the Cuban government subjects all government-affiliated workers to the same coercive laws.  Cuba has a government policy or pattern to profit from forced labor in the labor export program, which includes foreign medical missions.  The Cuban government labels workers who leave the program without completing it as “deserters,” a category that under Cuban immigration law deems them as “undesirable.”  The government bans workers labeled as “deserters” and “undesirables” from returning to Cuba for eight years, preventing them from visiting their families in Cuba.  It categorizes Cuban nationals who do not return to the country within 24 months as having “emigrated.”  Individuals who emigrate lose all their citizen protections, rights under Cuban law, and any property they left behind.  These government policies and legal provisions, taken together, coerce workers and punish those seeking to exercise freedom of movement.  According to credible sources, by 2021, the Cuban government had sanctioned 40,000 professionals under these provisions, and by 2022, there were approximately 5,000 children forcibly separated from their parents due to the government’s policies surrounding the program.

Complaints filed with the International Criminal Court and the UN indicate most workers did not volunteer for the program, some never saw a contract or knew their destination, many had their passports confiscated by Cuban officials once they arrived at their destination, and almost all had “minders” or overseers.  According to the complaints and survivors, Cuban heads of mission in the country subjected workers to surveillance, prevented them from freely associating with locals, and imposed a strict curfew.  Cuba also confiscated between 75 and 90 percent of each worker’s salary.  As a result of the well-founded complaints and information about the exploitative nature of Cuba’s labor export program, at the end of 2023, the UN Special Rapporteur for Contemporary Forms of Slavery filed a new communication outlining the persistent concerns with the program, particularly for Cuban workers in Italy, Qatar, and Spain.

While exploitation, including forced labor, of workers remains the primary concern with the program, Cuba’s practices can also negatively impact a host country’s healthcare system.  Survivors of the program have reported being forced by the Cuban in-country mission director to falsify medical records and misrepresent critical information to justify their presence and need to local authorities.  Some individuals reported discarding medications, fabricating names, and documenting medical procedures that never occurred.  When medical workers refused to comply with the demands of the Cuban in-country mission director, they faced punishment and retaliation.  While the Cuban government promotes workers as highly skilled medical professionals and specialists, these workers often lack adequate medical training to treat complex conditions.  These practices are unethical, negligent, exploitative, and risk the lives of those they serve.

Governments should make efforts to combat human trafficking, and this includes not purchasing goods or services made or provided with forced labor.  Governments that utilize Cuba’s labor export programs despite the serious concerns with the program should at a minimum conduct frequent and unannounced labor inspections to screen these workers for trafficking indicators and employ victim-centered interviewing techniques.  These host governments should ensure all Cuban workers are subject to the same laws, regulations, and protections as for other migrant workers and that they are not brought via a negotiated agreement with the Government of Cuba that limits these protections or exempts Cuban workers from Wage Protections Systems or other tools designed to strengthen transparency.  Officials should ensure workers maintain complete control of their passports and medical certifications and can provide proof of full salary payment to bank accounts under the workers’ control.  They should scrutinize medical reports produced by these workers, offer protection for those who face retaliation and punishment for terminating their employment, and raise awareness of trafficking risks for all foreign workers, including government-affiliated Cuban workers.

• Nothing About Us Without Us:   Human Trafficking and Persons with Disabilities

Human traffickers often take advantage of persons in vulnerable situations including individuals who lack access to services and programs or rely on the assistance of others.  Among this group of potential targets are persons with disabilities, who represent about 16 percent of the world’s population, or 1.3 billion people, according to the World Health Organization.

Of course, these 1.3 billion people are not monolithic.  Some people have a disability from birth; others experience disability later in their lifetime.  Some disabilities are life-long, and others may be temporary.  A disability can be visible, such as a physical disability, or non-apparent, such as an intellectual or psychosocial disability.  People with disabilities are of every age, race, sex and sex characteristics, sexual orientation, gender identity and expression, economic status, and nationality.

Professors Andrea Nichols and Erin Heil have noted the “heightened risk as well as heightened prevalence” of human trafficking involving persons with disabilities, although the authors acknowledged the paucity of existing research.  Even when research about persons with disabilities is conducted, it rarely addresses additional intersecting identities, such as race, ethnicity, age, gender, religion, sexual orientation, gender identity, gender expression, or migratory status, that can exacerbate marginalization.

The intersection between disability and human trafficking can be cyclical.  On the one hand, persons with disabilities are more likely to be targeted by traffickers; on the other hand, the experience of being trafficked can lead to or exacerbate existing disabilities through physical injuries or emotional trauma that in turn could heighten vulnerability.

Even with access to support, persons with disabilities face increased risk of exploitation.  A caregiver may exploit their position to victimize the person they are assisting.  Persons with disabilities who receive financial assistance may be exploited for those benefits.  As the Human Trafficking Legal Center has explained with respect to the situation in the United States:  “While persons with disabilities may be trafficked into sex or labor, many cases include one additional element:  the theft of Social Security or disability benefits.  The opportunity to steal government benefits provides an added incentive for traffickers to target persons with disabilities.”  Persons with disabilities across the globe who receive benefits face similar challenges.

In light of this situation, it is perhaps not surprising that the centerpiece of the United States’ statutory framework to combat trafficking, the Trafficking Victims Protection Act (TVPA), was promulgated in part as a reaction to the Supreme Court’s decision in United States v. Kozminski , 487 U.S. 931 (1988), a case involving two men with intellectual disabilities held in what justices referred to as “slave-like” conditions on a farm.  In the case, the Court held that the law banning “involuntary servitude” was limited to circumstances involving “the compulsion of services by the use or threatened use of physical or legal coercion.”  However, Congress subsequently passed the TVPA, which recognized that psychological coercion and threats of nonviolent coercion can be every bit as powerful as physical force in overcoming the will of targeted individuals.

In 2009, the U.S. Equal Employment Opportunity Commission brought a case involving Henry’s Turkey Service, which exploited 32 intellectually disabled men at a farm in Atalissa, Iowa.  For more than 30 years, the men endured physical and mental abuse and received virtually no pay.  The jury awarded the men what at the time was the largest-ever award in an employment-discrimination case – $240 million – although it was later reduced to $1.6 million due to a federal cap in the Americans with Disabilities Act.

Not only did the TVPA arise in part from trafficking crimes involving persons with disabilities, one of the first major trafficking prosecutions in the United States involved persons with disabilities.  In that case, dozens of immigrants with hearing disabilities, including young children, were forced to work 18-hour days as trinket vendors in New York City.  Traffickers targeted persons with disabilities who were also young migrants and did not speak English, exemplifying how disability can intersect with other forms of vulnerability.  Sadly, this form of exploitation of persons with disabilities continues to this day.

The TIP Report enhanced its coverage of the intersection of disability and trafficking, with the 2023 TIP Report referencing persons with disabilities in 65 country narratives, up from about 50 in the 2022 TIP Report.  These references also highlighted the existence or lack of specialized services for persons with disabilities who are victims of trafficking, and the particular challenges faced by persons with physical or intellectual disabilities.

The U.S. Department of State’s disability rights work is led by Special Advisor on International Disability Rights Sara Minkara.  In this appointed position, Ms. Minkara leads the comprehensive strategy to promote and protect the rights of persons with disabilities across U.S. foreign policy.  Special Advisor Minkara embodies the slogan “nothing about us without us,” which is often used by disability rights advocates to insist that persons with disabilities participate fully in policies affecting them.  The role of Special Advisor on International Disability Rights was first held by Judy Heumann, who served in the position from 2010 to 2017 and is widely regarded as the “mother of the disability rights movement.”  Sadly, Ms. Heumann passed away in March 2023, leaving behind an indelible legacy of disability advocacy in the United States and around the world.

From left:  Former Special Advisor on International Disability Rights (SAIDR) Judy Heumann, SAIDR Sara Minkara, and Special Assistant to the Special Advisor Hanah Nasri attend a celebration of the anniversary of the Americans with Disabilities Act at the official residence of the Vice President of the United States in July 2022.  Photo courtesy of Hanah Nasri. (Photo was published in State Magazine in March 2023:  https://statemag.state.gov/2023/05/0523office/ ) .

• Key Trafficking Issues in the Western Hemisphere Region

Human trafficking manifests itself differently around the world.  In the Western Hemisphere – North, Central, and South America and the Caribbean – there are broad commonalities in trafficking trends countries face and how their governments and authorities approach the crime.  Below is an overview of shared issues in the region to illustrate the overall situation and coordinate the anti-trafficking efforts of governments and other stakeholders .  These regional issues are extrapolated from the individual narratives for the countries in the region, including the United States.

Unprecedented irregular migration in the region affects all Western Hemisphere countries.  Migrants and asylum seekers are especially vulnerable to sex trafficking and forced labor, including by large and small organized criminal groups.  Migrants who rely on migrant smugglers are at particularly high risk of exploitation as many assume debt to pay migrant smugglers.  Irregular migration may also include individuals already exploited by traffickers, as victims may be motivated to migrate and seek protection elsewhere.  While some countries enacted policies aimed at reducing migrants’ vulnerability to trafficking by providing temporary residency and access to formal employment, education, healthcare, and other services, we encourage all countries faced with irregular migration challenges to prevent trafficking and prioritize screening among migrants.

Countries across the region generally have a good understanding of and response to sex trafficking, especially in identification of women who are victims.  Governments also undertake and emphasize the importance of law enforcement and criminal justice approaches to address trafficking, even if implementation is uneven.  Many governments seek to tackle both internal and transnational human trafficking.  In broad terms, there is political will in many countries to address human trafficking, particularly sex trafficking.

Weak efforts targeting forced labor remain a concern in the Western Hemisphere.  Governments generally focus on addressing sex trafficking and have weaker, poorly enumerated procedures to prosecute labor traffickers and protect victims of forced labor.  Labor inspectorates are underfunded and understaffed and typically have limited or no authority to inspect informal sector worksites where many victims are exploited, especially along changing migration routes.  Governments’ lack of attention to labor trafficking leaves victims unprotected in multiple sectors, including agriculture , mining , logging, maritime, and service .

Traffickers also exploit many victims in forced criminality .  Organized crime groups, including gangs and illegal armed groups, exploit girls in child sex trafficking, force children into street begging, forcibly recruit or use child soldiers, and coerce and threaten young men and women to transport drugs, commit extortion, act as lookouts, or commit acts of violence, including murder.  Organized crime groups target groups of migrants unable to enter a country due to border restrictions or awaiting asylum decisions, including at the U.S.-Mexico border.  State-sponsored forced labor is also a concern, specifically Cuba’s labor export program, including its medical missions – which the Cuban government continues to profit from by subjecting workers to forced labor and exploitation.

Gaps in trafficking victim protection are another broad concern in the Western Hemisphere.  For years governments have lacked (or failed to provide the necessary) financial and human resources to screen for and identify trafficking victims and provide them trauma-informed services.  Some governments have developed policies and protocols for screening victims and referring them to care, but implementation has been inconsistent or ineffective.  In addition, governmental interagency coordination is weak, with working groups often disjointed and disempowered, which is particularly detrimental to the cross-sectoral collaboration needed for victim protection efforts.  These problems are particularly notable among migrants, whom governments rarely screen for trafficking indicators.

Furthermore, governments make weak screening and identification efforts even with underserved populations and marginalized groups recognized as at high risk to trafficking, including Afro-descendant, Indigenous, and LGBTQI+ persons, as well as members of other ethnic and linguistic minorities, migrants, refugees, and displaced persons.  These populations also frequently experience discrimination from authorities, often making them fearful to report crimes or access care and justice.  Finally, there are insufficient trafficking-specific services for victims, particularly for men and boys, in most countries across the region.  Governments refer identified trafficking victims to support systems designed to serve other populations, such as migrants, individuals experiencing homelessness, or victims of gender-based violence, which do not meet the specific needs of trafficking victims.  Similarly, access to justice and services is concentrated in large urban areas, while the most vulnerable individuals frequently live in rural areas with limited government presence.  Lack of victim-centered and trauma-informed services can hinder victim identification, prevent healing, increase risk of re-trafficking, and fuel impunity by making survivors less likely to participate in the case against their traffickers.

Criminal justice responses and definitions of trafficking are concerning across the region.  Many governments have weaknesses in their legal systems and uneven judicial application of trafficking laws, including levying fines in lieu of imprisonment for trafficking crimes, imposing penalties not commensurate with those for other crimes, and failing to criminalize all forms of child sex trafficking.  Judges, in particular, may lack adequate training in applying trafficking laws and coercive methods traffickers use, which impacts their decisions and sentences.  Impunity for trafficking crimes fosters misperceptions about trafficking among both policymakers and the public.  Inadequate law enforcement efforts and insufficient capacity-building for law enforcement and other first responders hinders or impacts efforts in low-capacity countries , especially in the Caribbean.  Governments with limited resources often do not recognize or implement low-cost/high-impact anti-trafficking policies.  Official complicity within law enforcement, the prison system, and local government facilitates trafficking crimes across some governments, but criminal prosecution of complicit officials lags behind the already low number of convictions of other traffickers.  Child sex trafficking and extraterritorial commercial child sexual exploitation and abuse are also pervasive concerns, particularly due to the increased use of social media and online platforms to recruit victims.  Many officials conflate human trafficking with other crimes, including migrant smuggling, child labor, sexual violence against children, illegal commercial sex, and illegal adoption.  Because of this confusion, governments may misidentify trafficking victims, fail to give them adequate support, and therefore underreport trafficking crimes.  These problems lead to inadequate data collection and reporting on human trafficking and, therefore, an incomplete understanding of the extent of the crime in the hemisphere.

• A Framework for Balancing Prosecution, Prevention, and Victim Protection Priorities in Criminal Justice Systems

Holding human traffickers accountable is an essential component of the Palermo Protocol’s “3P” paradigm of prosecuting traffickers, protecting victims, and preventing the crime.   Prosecutions make powerful statements that human trafficking will not be tolerated, and perpetrators will be held accountable, and because it is important to recognize that prosecution, protection, and prevention efforts are all inextricably intertwined.   Victims are better able to assist in investigations and prosecutions when they have access to robust protections, and successful prosecutions protect individual victims from revictimization in addition to preventing the convicted trafficker from exploiting others.

Supporting victims throughout the criminal justice process is critical.   Cases often move slowly, leaving victims anxious about the uncertainty of the outcome, fearful of retaliation, re-traumatized by having to recount traumatic events, frustrated by proceedings that can disrupt their lives, and embarrassed, ashamed, or ostracized when information about their victimization becomes public.   These feelings of anxiety, uncertainty, trauma, frustration, and fear can be further intensified by the distrust of authorities that traffickers often instill and manipulate to compel victims’ silence and their compliance with the traffickers’ commands.   Victims often experience conflicting pressures from authorities encouraging them to cooperate, traffickers seeking to silence them, and their own efforts to put traumatic events behind them.   For some survivors, the opportunity to speak out, be believed, and play an active role in bringing traffickers to justice can be empowering and vindicating.   Yet for many, the process can be harrowing, especially when they do not receive sufficient services and support.

The difficulties victims often experience during investigations and prosecutions can further intensify the challenges authorities face when seeking to hold perpetrators accountable, protect their communities, and prevent traffickers from harming others.   In striving to bring traffickers to justice without unduly burdening, re-traumatizing, or endangering victims, prosecutors continually balance the interests of justice, public safety, and protection of the community with the rights and interests of individual victims.   Successful strategies for navigating these challenges will inevitably vary to some extent according to the relevant laws and criminal justice systems across various jurisdictions but the promising practices highlighted below can aid in effectively balancing these complex considerations in a wide range of contexts.   The end goal is to enhance support for victims and decrease the burdens they experience during the criminal justice process regardless of whether they are testifying — while also strengthening investigations and prosecutions to increase accountability for traffickers.

Vigorous Victim Protections at All Stages of the Criminal Justice Process

The best way for authorities to support human trafficking survivors is to ensure the provision and continuity of comprehensive services at all stages of the criminal justice process, including in coordination with civil society organizations who specialize in victim services.   Children survivors require specialized care and interventions.   Robust victim protections, including comprehensive victim-centered, trauma-informed services, are essential to support victims in rebuilding their lives, providing the security and stability they need to safely participate in the criminal justice process, and enabling them to recall and recount their experience.   Such services should include access to identity documents, mental health and medical services, housing, and other forms of relief to support physical and mental healing.   In addition, survivors should have access to legal support and services, ideally through an independent legal advocate.   This support should be tailored to assist the survivor with a range of legal needs, whether related to navigating the investigation and prosecution of the criminal case against the trafficker, to immigration relief, or other legal matters.

Investigators, prosecutors, and victim service providers should collaborate closely to ensure that the victim is stabilized and supported before expecting meaningful participation in the criminal justice process.   Trauma can impede a victim’s ability to recall and recount relevant events, so investigators and prosecutors should develop advanced expertise in victim-centered, trauma-informed, culturally appropriate methods for stabilizing survivors, building rapport, and conducting effective interviews.   Effective interviewing may entail consistent use of professional interpreters to ensure clarity of communication and often benefits from the use of specialized techniques that incorporate the expertise of survivor leaders.   These practices can make the victim’s participation in the process less burdensome and traumatic.   They can also strengthen prosecutions by eliciting more accurate statements, minimizing discrepancies that could later be used to attack the victim’s credibility, and enabling the victim to provide more detailed information that could lead to other sources of evidence.

Protection and services for trafficking victims should not be conditioned on whether the trafficker is charged or convicted.   In cases where a foreign victim chooses to return to their home country, relocation assistance should be provided and authorities should proceed with prosecutions involving repatriated victims when possible, by having them present evidence virtually where authorized by law or by funding their return travel for court proceedings as necessary.   Access to comprehensive support is not only in the best interest of survivors- it also increases the likelihood they will feel sufficiently safe and empowered to assist in the investigation and prosecution.   Whether survivors testify against the trafficker or provide more limited assistance to law enforcement, support for their long-term well-being should be a priority even after the case is closed.

Developing Evidence to Decrease Reliance on Victim Testimony

Another best practice in prosecuting trafficking cases is the use of strategic investigative processes to develop evidence that supports the statements or testimony of trafficking survivors.   In human trafficking prosecutions, every piece of evidence counts because each piece of corroborating evidence is important to reduce reliance on victim testimony, preventing undue credibility attacks, and to increase the likelihood of conviction.

All human trafficking victims who provide statements, declarations, or testimony are inevitably subjected to credibility challenges, whether by jurists in inquisitorial systems that decide whether the victim’s statements are sufficiently reliable or by the defense in adversarial systems.   Victims’ credibility is often scrutinized based on issues such as delays in reporting their victimization, trauma-related inconsistencies in recalling and recounting certain details, or involvement in unlawful acts related to their victimization.   Corroborating evidence can be essential to countering such credibility attacks, increasing the likelihood of the victim’s statements or testimony being believed, and leading to higher rates of convictions.   Investigators and prosecutors should engage in early and continuous collaboration to assess ways to pursue other sources of evidence beyond victim testimony and to corroborate available statements and evidence through sources such as electronic records, physical evidence, and other potential witnesses.

In some cases, other admissible evidence uncovered during a thorough investigation may minimize the need for victim testimony and can become essential to enabling a prosecution to proceed even if the victim is not able to participate in the trial.   Even evidence that provides only limited circumstantial corroboration of one small aspect of a trafficker’s conduct can, when combined with other evidence, provide significant substantiation of a survivor’s account.   Investigators and prosecutors should clearly communicate to survivors that they are not “responsible” for the successful investigation and prosecution, that services and protections are not dependent on the outcome of the criminal case, and that authorities are responsible for gathering relevant evidence from all available sources.   Such evidence can also significantly reduce the burdens felt by the victim and the risks of re-traumatization associated with participating as a witness.

Victim-Centered, Trauma-Informed Charging and Prosecution Practices

One of a prosecutor’s most serious responsibilities is to utilize all available avenues to protect the victim and prevent witness intimidation efforts that could compromise both the victim’s sense of safety and the integrity of the investigation.   Such avenues include seeking court orders, including restraining orders, orders of protection, and no-contact orders to prohibit the defendant from attempting to contact the victim either directly or indirectly.   They also include working with law enforcement and victim advocates to prepare a safety plan and document any attempted contact.   Prosecutors should encourage survivors to seek help from a trusted point of contact with the police or other authorities and to immediately disclose to the prosecutor or advocate any attempt by the traffickers to contact them.   Documented attempts to contact or intimidate the victim should be used in appropriate instances to bring additional obstruction-of-justice or witness tampering charges and may be relevant to explain a victim’s reluctance to cooperate as a witness or recant earlier statements.   Proof of the trafficker’s efforts to contact the victim may also allow the prosecutor to introduce otherwise inadmissible evidence.

Even if the survivor is able and willing to testify, the prosecutor should introduce corroborating evidence to bolster and support their testimony, which is especially important when a survivor’s trauma has caused inconsistency in their statements or memory.   Prosecutors may also consider using expert testimony in appropriate instances to explain the impacts of trauma on memory and recall.   Admissible evidence may include the survivor’s medical records, testimony from first responders or other witnesses to relevant incidents, certain statements made by the accused, electronic messages, physical evidence recovered from relevant locations, and video recordings.   Additional evidence gathered using well-designed and implemented strategic investigative processes can in some instances serve, when possible, as a substitute for the victim’s critical testimony, either completely or on select issues, if the victim becomes unavailable or has difficulty testifying effectively.

Unfortunately, despite all efforts to develop other evidence, some cases of the underlying trafficking offenses cannot proceed without the testimony of the victim.   In those instances, certain practices can be used to pursue prosecutions and accountability while minimizing undue burdens and adverse impacts on survivors.   Prosecutors can strategically focus charges on the most readily provable aspects of the criminal conduct such as assaults, threats, financial crimes, possession of illicit images, or witness tampering, which may be less reliant on victim testimony but may still provide significant opportunities to hold offenders accountable.   Prosecutors can also seek to resolve cases through guilty pleas in appropriate instances to secure substantial justice without the need for victim testimony at trial.

When a victim does need to testify, prosecutors should file all applicable motions to limit the scope of their testimony to relevant facts and preclude inappropriate cross-examination about the victim’s prior bad acts or sexual history.   When allowed by law, prosecutors should consider seeking the court’s permission to present the victim’s testimony virtually or in any other manner that preserves the defendant’s right to confront the accuser while physically separating the victim from the defendant.   Victim services and security should be provided throughout all stages of trial preparation, trial, and sentencing.

Human trafficking survivors with lived experience are uniquely positioned to provide insight, guidance, and expertise on establishing appropriate support systems, strategic investigative processes, and prosecutorial practices that allow victims to be heard and supported at all stages of investigations and prosecutions.   Incorporating survivor-informed expertise is essential to providing the security, stability, and support survivors need to participate safely and effectively as witnesses, while reducing the burdens and risks of re-traumatization often associated with the criminal justice process and strengthening efforts to hold traffickers accountable.

• The Intersection of Forced Marriage and Human Trafficking

The question of whether forced marriage constitutes a human trafficking crime is complex, and the answer can vary depending on the circumstances of the forced marriage and the applicable national laws.

Governments around the world have taken different approaches to the issue, both in terms of the laws they have enacted and of the way those laws are implemented in practice.   While the governing international law on trafficking in persons, the UN TIP Protocol, allows for flexibility in how State Parties criminalize human trafficking under domestic legislation, establishing exploitative intent is critical to considering whether the conduct constitutes trafficking in persons.

What is forced marriage?

The 2022 update to the U.S. Strategy to Prevent and Respond to Gender-Based Violence Globally defines forced marriage as a marriage at any age that occurs without the free and full consent of both parties, including anyone under the age of 18 who is not able to give full consent.   Forced marriage may occur when family members or others use physical or emotional abuse, threats, fraud, or deception to obtain an individual’s agreement.   In such cases, an individual cannot be considered to have consented to the marriage.   The terms “early marriage” and “child marriage” are often used interchangeably to refer to any marriage in which at least one of the parties has not attained the age of 18.   There is overwhelming evidence that child, early, and forced marriages can increase individuals’ vulnerability to future exploitation and abuse – with long-term consequences for their health, wellbeing, safety, and opportunities.

Is Forced Marriage a Form of Trafficking under International Law?

Article 3 of the UN TIP Protocol defines “trafficking in persons” to require three essential elements—an act, conducted using one or more means, for an exploitative purpose.   Article 3 does not list forced marriage explicitly as a form of exploitation; instead, it provides that “exploitation shall include, at a minimum, the exploitation of the prostitution of others or other forms of sexual exploitation, forced labor or services, slavery or practices similar to slavery, servitude or the removal of organs.”   Accordingly, when a forced marriage involves any of the acts, means, and purposes of exploitation listed in Article 3, it would be considered trafficking under the UN TIP Protocol.   For example, forced marriages that also involve forced labor or services, or slavery or practices similar to slavery would also be trafficking in persons if the relevant acts and means are present.   However, the non-exhaustive list of forms of exploitation in Article 3 allows State Parties to decide to expand the list of forms of exploitation within their own domestic definition of trafficking in line with the purpose and scope.

While the UN TIP Protocol does not explicitly include forced marriage within the definition of trafficking, many stakeholders argue that if all the elements of trafficking are present (i.e., there is an act, a prohibited means, done for the purpose of exploiting another person), it should not matter that the exploitation takes the form of a forced marriage.   These stakeholders point to the identical practices used by unscrupulous recruiters who are paid by business owners or prospective husbands to deceive and obtain the consent of individuals to marry “loving wealthy husbands” or accept “lucrative job offers,” in both instances only to leave victims trapped and exploited.

Countries that have chosen to include forced marriage within their domestic definitions of trafficking, either explicitly or implicitly, have taken three common approaches:

Forced Marriage Included as a Form of Exploitation

By leaving the list of forms of exploitation under Article 3 open-ended, the UN TIP Protocol allows State Parties to choose to expand the list of forms of exploitation included under domestic anti-trafficking laws.   As such, some countries have chosen to include forced marriage as an exploitative purpose under their respective anti-trafficking laws.   Several countries have taken this approach, including, but not limited to: Argentina, Australia, Botswana, Cambodia, Chad, Costa Rica, Croatia, Ecuador, El Salvador, Haiti, Kenya, Lithuania, Nicaragua, North Macedonia, Seychelles, and Uganda.

“Practices Similar to Slavery” Interpreted to Include Some Forms of Forced Marriage

Other countries interpret the inclusion of “practices similar to slavery” within Article 3 of the UN TIP Protocol to include certain forms of forced marriage.   “Practices similar to slavery” is defined in the Supplementary Convention on the Abolition of Slavery, the Slave Trade, and Institutions and Practices Similar to Slavery.   Under Article 1(c) of this convention, “practices similar to slavery” refers to, inter alia, “Any institution or practice whereby: (i) A woman, without the right to refuse, is promised or given in marriage on payment of a consideration in money or in kind to her parents, guardian, family or any other person or group; or (ii) The husband of a woman, his family, or his clan, has the right to transfer her to another person for value received or otherwise; or (iii) A woman on the death of her husband is liable to be inherited by another person …”   For countries that use this definition of “practices similar to slavery” to interpret the scope of the definition of trafficking in persons under the UN TIP Protocol, some, but not all, forms of forced marriage could constitute trafficking in persons.

Forced Marriage and Trafficking in Persons as Distinct Crimes .

It is also worth mentioning that there are many countries that choose to address forced marriage and trafficking in persons as separate offenses.   In its 2020 Issue Paper “Interlinkages Between Trafficking in Persons and Marriage,” the United Nations Office on Drugs and Crime (UNODC) acknowledges the viability of these different approaches and explains that there is “no one-size-fits-all approach to most effectively counter cases involving interlinkages between trafficking in persons and marriage.”

Establishing Exploitative Intent is Critical in All Approaches

At the heart of the question of whether a forced marriage constitutes a human trafficking crime is the question of whether the intention was to exploit a person or persons through the marriage.   Recently, the European Parliament and the Council of the European Union recognized the gravity of and increasing linkages between forced marriages and human trafficking. They formally adopted a directive noting that the exploitation of forced marriages “fall[s] within the scope of offenses concerning trafficking in human beings…to the extent that all the criteria constituting those offenses are fulfilled.”

While States that choose explicitly to include forced marriage within their definition of exploitation, or implicitly, through the inclusion of “practices similar to slavery,” consider “forced marriage as inherently exploitative,” such an interpretation is neither required nor shared by all States.   As UNODC explains,

…cultural and national contexts are relevant in determining exploitation, especially in relation to forced and servile marriage.   Cultural and other context-specific factors can play a role in shaping perception of what constitutes exploitative conduct for the purposes of establishing that trafficking has occurred.

Marriages generally involve domestic work and sexual relations between spouses, neither of which is generally understood to constitute abuse or exploitation.   However, there are circumstances in which individuals may be exploited in connection with each of these under the guise of marital obligations.   Taking into consideration the cultural and national contexts in which marriages transpire is a complex but necessary task when determining whether all three elements of a human trafficking offense are present in a case involving forced marriage.

While it is understood forced marriage is inherently harmful, rooted in gender inequality, and can often dramatically increase the risks of individuals to trafficking in persons, gender-based violence (GBV), and other abuses or crimes, it is important to acknowledge there may be circumstances in which a forced marriage has occurred, but the offense of human trafficking has not, because the purpose of the marriage was not to exploit another individual.   For example, in some communities, even an untruthful allegation of sexual indiscretion or promiscuity can irreparably damage a girl’s prospects of marriage or place her in physical danger.  Parents in these communities may attempt to protect their daughters by marrying them at a young age to avoid such allegations and safeguard their reputations.  Similarly, families who live in refugee camps or other unstable situations where there is high prevalence of multiple forms of violence, including GVB, may view marriage as a protective mechanism that will prevent their daughters from being victims of physical or sexual violence or offer them greater economic security.   In these instances, such marriages commonly occur without an individual giving their full, free, and informed agreement to marry.   By definition, such an arrangement would constitute a forced marriage and depending on the country, potentially a violation of domestic criminal laws.   However, if no one involved in arranging the marriage (not the spouse, parents, matchmaker, etc.) is participating for the purpose of exploiting the individual , then the necessary elements of trafficking in persons are not met.   Other crimes or human rights abuses may have occurred and should be addressed, but the specific crime of human trafficking has not occurred because the marriage was not for the purpose of exploitation.   To the contrary, taking into account the relevant cultural and social norms, these actors may believe they are acting in the best interest of the individual.   As in all criminal cases, the knowledge and intent of the individual matters and therefore, in the case of forced marriages as a potential trafficking crime, one must consider if an individual intended to exploit someone, or whether they intended, even misguidedly and mistakenly, to do what was believed to be in the individual’s best interest.   These complicated dynamics must be determined in other trafficking contexts as well.

Therefore, when allegations of forced marriage are presented, they must be evaluated on a case-by-case basis to determine whether they constitute trafficking in persons.   Such an assessment neither legitimizes forced marriage nor detracts from serious concerns around such practices.   Rather, it simply ensures the appropriate criminal prosecution, protection, and prevention responses are utilized to address the conduct in question because, as UNODC explains, “….qualifying a particular type of conduct as trafficking in persons has extensive consequences for both the alleged perpetrators and victims of the crime.”

* NOTE:   U.S. law does not explicitly recognize forced marriage as a “severe form of trafficking in persons” or reference it in criminal trafficking laws.   Therefore, forced marriage, per se, is not automatically considered a form of trafficking in persons under U.S. law.   The facts and circumstances of the forced marriage must be considered to determine whether the conduct falls under a relevant definition or legal provision.   Generally, if the person forced to marry is also compelled to work or to engage in commercial sex, then the forced marriage would likely fall within the definition of trafficking in persons and be a crime under U.S. law.   Because the definition of “severe forms of trafficking in persons” established under the Trafficking Victims Protection Act governs the Department’s minimum standard assessments for the purposes of the TIP Report, the Department accordingly includes governments’ efforts to combat forced marriage if there is credible evidence that those efforts address forced marriage in which the objective of the marriage was to exploit another person for labor or services or commercial sex.

An Example of When a Forced Marriage Involved Human Trafficking:   United States of America v. Zahida Aman, et al.

In United States of America v. Zahida Aman, et al., the United States successfully prosecuted and convicted three individuals for trafficking crimes relating to a forced marriage.   On January 24, 2023, the traffickers were sentenced to five, ten, and 12 years of imprisonment, respectively, and ordered to pay restitution to the victim.   The case serves as an example of how forced marriage and human trafficking can intersect and result in complex and devastating exploitation of vulnerable individuals, as abuse often goes undetected for long periods of time due to its hidden nature within the confines of familial relationships.

A federal jury sitting in Richmond, Virginia, found defendants Zahida Aman, Mohammad Nauman Chaudhri, and Mohammad Rehan Chaudhri guilty of conspiracy to commit forced labor for compelling the domestic labor of a Pakistani woman for 12 years.   The jury further found defendant Aman guilty of forced labor and document servitude, and defendant Rehan Chaudhri guilty of forced labor.

According to the evidence presented in court, defendant Zahida Aman arranged for her son’s marriage to the victim in 2001.   The victim moved to the United States and lived in a house in Midlothian, Virginia, with her husband and the three defendants (the husband’s mother and his two brothers).   The defendants compelled the victim to serve the family as a domestic servant, using physical and verbal abuse, restricting communication with her family in Pakistan, confiscating her immigration documentation and money, and eventually threatening to separate her from her children by deporting her to Pakistan.

The defendants slapped, kicked, and pushed the victim, even beat her with wooden boards, and on one occasion hog-tied her hands and feet and dragged her down the stairs in front of her children.   Even after the victim’s husband moved away, the defendants kept the victim in their Virginia home, often forcing her to perform increasingly laborious tasks… 

The evidence further showed that the defendants required the victim to work every day, beginning early each morning.   They restricted her food, forbade her from learning to drive or speaking to anyone except the defendants’ family members and prohibited her from calling her family in Pakistan.

Press Release, U.S. Department of Justice

• 2024 TIP REPORT HEROES

This year marks a major milestone—the 20th anniversary of the TIP Report Heroes awards program.   Each year, the Department of State honors individuals around the world who have devoted their lives to the fight against human trafficking.   These individuals include NGO workers, lawmakers, government officials, survivors of human trafficking, and concerned citizens.   They are recognized for their tireless efforts—despite some working in challenging environments where human trafficking concerns remain pervasive and facing resistance, opposition, or threats to their lives—to protect victims, punish offenders, and mitigate the underlying factors that cause vulnerabilities traffickers often target.

For more information about current and past TIP Report Heroes, please visit the TIP Report Heroes Global Network at www.tipheroes.org .

Al Amin Noyon Manager BRAC Migration Centre

Md. Al-Amin, or Noyon, is a welcoming first face to trafficking survivors and migrants as they return to Bangladesh.  As a fellow trafficking survivor, Noyon is uniquely qualified and motivated to help them rebuild their lives. In his capacity as manager of the BRAC Migration Welfare Centre onsite at the Dhaka airport, Noyon has supported more than 34,000 Bangladeshi trafficking survivors and migrants over the last 15 years.

Born to a family of modest means, Noyon’s dream of a better life turned into a nightmare when he was exploited in trafficking in Malaysia in 2007, beaten, tortured, and held captive in the jungle.  But as the 41-year-old now shares, that is not how his story ends.  His motivation to support fellow survivors has long motivated him to serve as a member of ANIRBAN (‘the flame that will not fade ‘ ), a trafficking support platform made up of survivors who raise awareness about human trafficking and advocate for survivors and their rights.

Noyon believes education is one of the best ways to insulate Bangladesh’s next generation from the perils of human trafficking.  He assists with safe migration campaigns at schools across Bangladesh and has supported thousands of students whose families are migrants or trafficking survivors secure academic scholarships.

Known by anti-trafficking stakeholders in the Bangladesh government, multilateral organizations, and likeminded partners, Noyon steadfastly supports others despite very real risks to his own safety.

Marcela Martinez Activist/Lawyer

Ms. Martinez is an accomplished Bolivian lawyer from La Paz and a leading anti-trafficking activist, who has demonstrably changed the direction of Bolivian and regional efforts to combat trafficking in persons, providing hope for families affected by human trafficking in Bolivia.

In 2017, Ms. Martinez formed the Social Responsibility Area of her law firm, from which the #RedAlertTempranaZar 🦋 hashtag operates.  This hashtag is modeled after the Amber Alert system in the United States to help activate searches for victims in Bolivia.  They also provide training, talks, workshops, and prevention webinars to schools, universities, neighborhood associations, and other civil society organizations.  To date, more than 18,000 volunteers participate in the network and have helped authorities locate more than 150 victims.

Ms. Martinez’s work has been instrumental in the prosecution of traffickers, protection of survivors, and prevention of victims.  She helped draft and lobbied for the passage of the first comprehensive Bolivian national law that gives law enforcement and prosecutors new tools and resources to combat trafficking in persons.  She also created the National Trafficking in Persons Council to coordinate all Bolivian government efforts to fight human trafficking.

She was part of the NinaSonko Heart of Fire Women’s Circle, which provides support and holistic and business coaching to survivors of trafficking and violence and supports social reintegration.  She has also served as a trainer through UNODC, training judges, prosecutors, and police officers on victim care at the national level.  Through her tireless efforts, Ms. Martinez has reduced human trafficking in Bolivia.

Maria Werlau Founder/Executive Director Free Society Project

Maria Werlau is co-founder and Executive Director of Free Society Project, also known as Cuba Archive, a non-profit think tank that defends human rights through information.  She began in 2009 researching, documenting, and denouncing exploitation and forced labor in Cuba’s labor export program and advocating for its victims and survivors.  In 2010, she published her first academic work on the issue and authored an opinion piece in The Wall Street Journal denouncing the labor export program as a trafficking scheme benefiting the Cuban government.  At the time, Cuba’s “internationalism” was mostly known from the slanted narrative of altruistic solidarity.

Since then, Maria has interviewed dozens of Cuban workers, mostly doctors coerced to work across the globe.  Through her work at Cuba Archive, she has exposed the dark aspects of Cuba’s medical missions, emphasizing the abuses faced by the workers: violence, sexual harassment, family separation, exploitation, forced labor, wage confiscation, restriction of movement, passport retention, repression, forced exile, psychological trauma, loss of life, and more.  She has also documented and exposed the labor export program’s lesser-known impact on the public health systems of Cuba and host countries, as well as its economic, political, and geostrategic value to the Cuban regime.

Maria has authored numerous works on Cuba in English and Spanish, including on healthcare, and provided expert testimony on Cuban labor trafficking to the U.S. Congress and at the OAS and the European Parliament.

Mustafa Ridha Mustafa al-Yasiri Director – Anti-Human Trafficking Directorate Ministry of Interior

Brigadier General Mustafa Ridha Mustafa al-Yasiri has courageously worked in Iraq’s Ministry of Interior (MOI) to combat trafficking in persons throughout a career dedicated to defending Iraq’s most vulnerable.  Brigadier General Mustafa vastly improved the Government of Iraq’s efforts to combat trafficking in persons and enhanced services for women trafficking victims, only months after being appointed in March 2023 as the Director of MOI’s Anti-Human Trafficking Directorate.  With support from the Minister of Interior, Brigadier General Mustafa immediately increased government resources dedicated to fighting trafficking in persons; appointed women Trafficking in Persons officers and employees to better assist trafficking victims; and appointed new investigative officers and officials knowledgeable on trafficking in persons, victim identification, and violence against women.  Together with the Iraqi judiciary, Mustafa established a strategy to identify victims more accurately and better address sexual exploitation and other forms of trafficking.

In addition, Brigadier General Mustafa worked with hiring companies to ensure they publish and display signs detailing Iraqi workers’ rights and the MOI’s Trafficking in Persons hotline.  On a weekly basis, he visited shelters to speak with victims, compile lists of needed food and hygienic and medical supplies, and help victims make calls to their families.  He also personally accompanied trafficking victims to court to help with their hearings and legal procedures.  Every day, motivated by personal conviction, Brigadier General Mustafa is realizing a professional goal to serve and protect many of the most vulnerable citizens of Iraq.

Edith Murogo Founder/Chief Executive Officer Centre for Domestic Training and Development

Edith Murogo is a beacon of hope on the frontlines of the fight against human trafficking and labor exploitation.  When Edith started training domestic workers more than two decades ago, she met victims of human trafficking and gender-based violence.  This experience prompted her to pioneer initiatives that transformed anti-trafficking efforts in Kenya.

After establishing the Centre for Domestic Training and Development (CDTD) in 2001, Edith became a leading advocate for domestic workers’ rights and lobbied the government for strengthened protections of migrant workers.  Edith initiated training to professionalize domestic workers and convinced the government to develop the curriculum and establish a certificate program for domestic workers seeking employment abroad.  Since opening, CDTD has assisted over 50,000 domestic workers with advocacy, skills, and knowledge to prevent them from becoming victims of trafficking.

In 2012, Edith opened the Talia Agler Girls Shelter (TAGS) – a safe house providing comprehensive assistance to girls and young women, especially for survivors of sexual and gender-based violence exploited in human trafficking. TAGS has assisted over 1,000 girls with removal from trafficking situations, recovery, and reintegration support services as well as education, mentorship, and leadership opportunities.

During the COVID-19 pandemic, Edith established Kenya’s National Shelters Network to coordinate shelter services across Kenya and ensure all survivors receive crucial protection services.  Edith is a tireless advocate working with government and civil society to strengthen anti-trafficking laws and responses.  The Department of Labor and BBC have highlighted her work in several documentaries about human trafficking.

Oumou Elkhairou Niaré Samaké Coordinator National Integrated Program for the Fight Against Drug Trafficking and Organized Crime; National Committee for the Fight Against Trafficking in Persons and Similar Practices

Oumou Elkhairou Niaré Samaké (Oumou), a well-known Malian magistrate, currently serves as the coordinator of Mali’s National Integrated Program for the Fight against Drug Trafficking and Organized Crime and as Coordinator of the National Committee for the Fight Against Trafficking in Persons and Similar Practices.  Oumou is a fierce advocate for human rights, gender-based violence, and trafficking in persons issues.  She has spearheaded Mali’s recent adoption of a new Action Plan to Combat Trafficking in Persons; championed the development of Mali’s new draft penal code to criminalize trafficking in persons; and fought to increase prosecutions over the past year of hereditary slavery cases.

In 2020 and 2021, the Trafficking in Persons Committee became relatively inactive.  However, upon her appointment in 2022, Oumou reinvigorated Mali’s anti-trafficking efforts.  First, she reestablished regular coordination meetings and published the Trafficking in Persons Committee’s overdue 2021 and 2022 annual reports.  Next, she spearheaded the development, drafting, and adoption of Mali’s new National Action Plan to Combat Trafficking in persons, launched in October 2023.  She has maintained high level standard of contacts with partners, donors, and national and international stakeholders in the fight against trafficking in persons and hereditary slavery.

Samson Inocencio Jr. Vice President International Justice Mission Philippines Program Against Online Sexual Exploitation of Children

Samson “Sam” Inocencio has dedicated over 20 years to combating trafficking in persons through his work with the International Justice Mission (IJM) Philippines.  He has contributed to 147 convictions for commercial sexual exploitation and 220 for online sexual exploitation (OSEC) crimes since 2005.  After becoming National Director of IJM in 2016, Sam assisted in the removal of 544 children from situations of commercial sexual exploitation and 1,237 children who were at risk of OSEC.

Sam led IJM’s efforts under the U.S.-Philippine Child Protection Compact (CPC) Partnership to combat OSEC crimes and advocated for a 347 percent budget increase for the Philippine National Police – Women and Children Protection Center.  As IJM’s representative to the Government of the Philippines’ Interagency Council Against Trafficking, Sam has assisted the Philippines in its efforts to combat the commercial sexual exploitation of children and OSEC related crimes, to hold offenders accountable in courts of law, and to safeguard Filipino children.

He collaborated with the Government of the Philippines in 2016 to develop a “roadmap to Tier 1” in the U.S. Department of State Trafficking in Persons Report.  The Philippines has been ranked Tier 1 for eight years due to the merits of its efforts.  Sam’s leadership and dedicated service have strengthened the government and civil society’s response to trafficking and protected thousands, especially children, from exploitation.

Marijana Savić Founder/Director Atina

Marijana Savić, the founder and director of NGO Atina, is an activist dedicated to advancing women’s and girls’ rights.  For over two decades, she has provided vital support and recovery programs for survivors of trafficking and gender-based violence in Serbia.  Her efforts have led to important progress in policy reform to combat human trafficking and support women and girls, who were victims of commercial sexual exploitation.

Under Marijana’s guidance, Atina has become a pivotal organization in Serbia’s anti-trafficking sector.  Marijana also actively contributes by helping integrates survivor experiences into law and human rights policies, in Serbia and abroad.  Her commitment extends to economic empowerment through the social enterprise Bagel Bejgl, which she founded in 2015.  This initiative – which provides employment to trafficking survivors – supports Atina’s sustainability by directing its profits to anti-trafficking programming.

Marijana works with international bodies, including the Council of Europe, as an expert in combating trafficking, especially labor exploitation.  An alumnus of the Human Rights Advocates Program at Columbia University, Marijana is also involved in global advocacy as a member of the Global Fund for Children’s board, Canada’s Equality Fund Investment Advisory Council, and the UN Voluntary Trust Fund for Victims of Human Trafficking board.

Marijana’s relentless activism and leadership have earned widespread acclaim and numerous awards for Atina, highlighting her role in shaping a safer, more equitable society for women and girls across Serbia and globally. Her work exemplifies a profound commitment to human rights and the empowerment of the most vulnerable groups.

Rosa Cendón Advisor – Human Trafficking and Gender-based Violence Catalonia Regional Ministry for Equality and Feminism

Rosa Cendón has devoted her life to assisting victims, raising awareness, and combating human trafficking in Spain.

As a social worker and educator based in Barcelona, Rosa has led advocacy and institutional relations for SICARcat, the largest anti-trafficking NGO in the Catalonia region, for 20 years.  SICARcat offers assistance to women and children survivors of trafficking by providing them with shelter and legal, psychological, medical, and social support.  Since 2022, Rosa has served as an expert advisor for combating human trafficking and gender-based violence at the Catalonia regional Ministry of Equality and Feminism.  She continues to promote change by raising awareness of human trafficking and designing public policy.

Rosa is at the forefront of anti-trafficking efforts in Catalonia.  Her victim-centered approach has influenced regional and national anti-trafficking and victim protection policies.  She contributed to designing the regional Catalonian and Barcelona city protocols for victim protection.  Under her leadership, SICARcat developed tools for the detection and intervention of human trafficking cases working closely with law enforcement agencies.  She regularly conducts specialized training for key actors.

During the height of the European migration crisis, Rosa helped found the ASIL.CAT network of human rights NGOs that coordinated shelter, protection, and services for the influx of refugees.  She worked to ensure that anti-trafficking efforts were included in the asylum reception system.  As a result of Russia’s invasion of Ukraine, Spain has received over 200,000 Ukrainian refugees and Rosa has been at the forefront in providing support to the refugees arriving to Barcelona.

Letitia Pinas Inspector of Police – Head of the Trafficking in Persons Unit Suriname Police Force

Inspector Letitia Pinas launched her career with the Suriname Police Force in 1998.  After serving in the Youth Affairs Department and the Public Relations Department, she was assigned the role of Acting Head of the 14-person Trafficking in Persons Unit in November 2020, to determine its continued usefulness.  Inspector Pinas overhauled the underperforming unit by drafting a strategic plan that improved the unit’s ability to investigate suspects and identify and serve victims, its presence in and outreach to the community, and the public’s trust in it.

With no NGOs working on human trafficking, Inspector Pinas assumed a disproportionate burden not only to investigate cases properly and effectively but also ensured efforts continued in the areas of protection and prevention, including expanded awareness.  Despite the government facing a multi-year financial crisis, she successfully lobbied for funds from the police to establish an emergency shelter within her office to house victims in the initial stages of an investigation.  She closely collaborated with the Prosecutors’ Office for funding to create a long-term shelter for both male and female victims.  Through improved collaboration with the Maritime Police and the Military Police, the Trafficking in Persons Unit actively participates in inspections of incoming vessels, while also checking for potential victims amongst incoming travelers at the airport.  These efforts have led to increased numbers of identified victims, including many who have trusted the police enough to self-report.  Her collaboration with senior police officials resulted in the development of a website that raises awareness on human trafficking and provides society with a tool to anonymously report suspected cases of trafficking.

• Child Soldiers Prevention Act List

Section 402 of the Child Soldiers Prevention Act, as amended (CSPA) requires publication in the annual TIP Report of a list of foreign governments identified during the previous year as having governmental armed forces, police, or other security forces, or government-supported armed groups that recruit or use child soldiers, as defined in the CSPA.  These determinations cover the reporting period beginning April 1, 2023 and ending March 31, 2024.

For the purpose of the CSPA, and generally consistent with the provisions of the Optional Protocol to the Convention on the Rights of the Child on the involvement of children in armed conflict, the term “child soldier” means:

•  any person under 18 years of age who takes a direct part in hostilities as a member of governmental armed forces, police, or other security forces;
• any person under 18 years of age who has been compulsorily recruited into governmental armed forces, police, or other security forces;
• any person under 15 years of age who has been voluntarily recruited into governmental armed forces, police, or other security forces; or
• any person under 18 years of age who has been recruited or used in hostilities by armed forces distinct from the armed forces of a state.

The term “child soldier” includes any person described in clauses (ii), (iii), or (iv) who is serving in any capacity, including in a support role, such as a “cook, porter, messenger, medic, guard, or sex slave.”

Governments identified on the list are subject to restrictions, in the following fiscal year, on certain security assistance and commercial licensing of military equipment.  The CSPA prohibits assistance to governments that are identified in the list under the following authorities: International Military Education and Training, Foreign Military Financing, Excess Defense Articles, and Peacekeeping Operations, with exceptions for some programs undertaken pursuant to the Peacekeeping Operations authority.  The CSPA also prohibits the issuance of licenses for direct commercial sales of military equipment to such governments. Beginning October 1, 2024, and effective throughout Fiscal Year 2025, these restrictions will apply to the listed countries, absent a presidential waiver, applicable exception, or reinstatement of assistance pursuant to the terms of the CSPA.  The determination to include a government in the CSPA list is informed by a range of sources, including first-hand observation by U.S. government personnel and research and credible reporting from various UN entities, international organizations, local and international NGOs, and international and domestic media outlets.

The 2024 CSPA List includes governments of the following countries: Afghanistan, Burma, Cameroon, Central African Republic, Democratic Republic of the Congo, Iran, Libya, Mali, Russia, Rwanda, Somalia, South Sudan, Sudan, Syria, Türkiye, Venezuela, and Yemen.

• When the Government is the Trafficker: State-Sponsored Trafficking in Persons

While the TVPA Minimum Standards for the Elimination of Trafficking In Persons and the UN TIP Protocol call on governments proactively to address trafficking crimes, some governments are part of the problem, directly compelling their citizens or other individuals into sex trafficking or forced labor.   Some governments exploit individuals in forced labor in local or national public works projects, military operations, economically important sectors, as part of government-funded projects or missions abroad, or in sexual slavery on government compounds.   Governments extract this work or service by threatening the withdrawal of public benefits; withholding salaries; intentionally failing to adhere to limits on national service; manipulating the lack of legal status of stateless individuals and other minority groups; threatening to punish family members; or conditioning services, food, or freedom of movement on labor or sex.

In 2019, Congress amended the TVPA to acknowledge that governments can also act as traffickers, referring specifically to a “government policy or pattern” of human trafficking; human trafficking in government-funded programs; forced labor (in government-affiliated medical services, agriculture, forestry, mining, construction, or other sectors); sexual slavery in government camps, compounds, or outposts; or employing or recruiting child soldiers.   While the TVPA already directs the Secretary to consider the extent to which “officials or employees of the government have participated in, facilitated, condoned, or were otherwise complicit in” trafficking when determining whether the government is making significant efforts to meet the minimum standards, this section directly links a government’s “policy or pattern” of trafficking to a Tier 3 ranking.

The 2024 TIP Report includes the following 13 countries with a documented “policy or pattern” of human trafficking, trafficking in government-funded programs, forced labor in government-affiliated medical services or other sectors, sexual slavery in government camps, or the employment or recruitment of child soldiers:    

• Afghanistan*
• China, People’s Republic of
• Korea, Democratic People’s Republic of
• South Sudan
• Turkmenistan

* The TIP Report describes the state of human trafficking within a country and with respect to Afghanistan, assesses the actions of Afghan ministries, as well as the Taliban, without implying recognition of the Taliban or another entity as the government of Afghanistan.

• Methodology

The Department of State prepared this report using information from U.S. embassies, government officials, nongovernmental and international organizations, published reports, news articles, academic studies, consultations with authorities and organizations in every region of the world, and information submitted to [email protected] .   This email address provides a means by which organizations and individuals can share information with the Department of State throughout the year on government progress in addressing human trafficking.

U.S. diplomatic posts and domestic agencies reported on the human trafficking situation and governmental action to fight trafficking based on thorough research that included meetings with a wide variety of government officials, local and international NGO representatives, officials of international organizations, journalists, academics, and survivors.   U.S. missions overseas are dedicated to covering human trafficking issues year-round.   The 2024 Trafficking in Persons Report covers government efforts undertaken from April 1, 2023 through March 31, 2024, to the extent concurrent reporting data is available.

Tier Placement

The Department places each country in this report onto one of four categories.   This placement is based not on the size of a country’s problem but on the extent of government efforts to meet the Trafficking Victims Protection Act’s (TVPA) minimum standards for the elimination of human trafficking (see page XX), which are generally consistent with the Palermo Protocol.

While Tier 1 is the highest ranking, it does not mean that a country has no human trafficking problem or that it is doing enough to address the crime.   Rather, a Tier 1 ranking indicates that a government has made efforts to address the problem that meet the TVPA’s minimum standards.   To maintain a Tier 1 ranking, governments need to demonstrate appreciable progress each year in combating trafficking.   Tier 1 represents a responsibility rather than a reprieve.

Tier rankings and narratives in the 2024 Trafficking in Persons Report reflect an assessment of the following:

• enactment of laws prohibiting severe forms of trafficking in persons, as defined by the TVPA, and provision of criminal punishments for trafficking crimes;
• criminal penalties prescribed for human trafficking crimes which are sufficiently stringent and commensurate with those prescribed for other grave crimes;
• implementation of human trafficking laws through vigorous prosecution of the prevalent forms of trafficking in the country and adequate sentencing of traffickers;
• proactive victim identification measures with systematic procedures to guide law enforcement and other government-supported front-line responders in the process of victim identification;
• government funding and partnerships with NGOs to provide victims with access to primary health care, counseling, and shelter, allowing them to recount their trafficking experiences to trained counselors and law enforcement in an environment of minimal pressure;
• victim protection efforts that include access to services and shelter without detention and with legal alternatives to removal to countries in which victims would face retribution or hardship;
• the extent to which a government ensures victims are provided with legal and other assistance and that, consistent with domestic law, proceedings are not prejudicial to victims’ rights, dignity, or psychological well-being;
• the extent to which a government ensures the safe, humane, and, to the extent possible, voluntary repatriation and reintegration of victims;
• governmental measures to prevent human trafficking, including efforts to curb practices identified as contributing factors to human trafficking, such as employers’ confiscation of foreign workers’ passports and allowing labor recruiters to charge fees to prospective migrants; and
• governmental efforts to reduce the demand for commercial sex acts and extraterritorial sexual exploitation and abuse.

Tier rankings and narratives are NOT affected by the following:

• efforts, however laudable, undertaken exclusively by nongovernmental actors in the country;
• general public awareness events—government-sponsored or otherwise—lacking concrete ties to the prosecution of traffickers, protection of victims, or prevention of trafficking; and
• broad-based law enforcement or developmental initiatives.

A Guide to the Tiers

Countries whose governments fully meet the TVPA’s minimum standards for the elimination of trafficking.

Countries whose governments do not fully meet the TVPA’s minimum standards but are making significant efforts to bring themselves into compliance with those standards.

Tier 2 Watch List

Countries whose governments do not fully meet the TVPA’s minimum standards but are making significant efforts to bring themselves into compliance with those standards, and for which:

• the estimated number of victims of severe forms of trafficking is very significant or is significantly increasing and the country is not taking proportional concrete actions;
• there is a failure to provide evidence of increasing efforts to combat severe forms of trafficking in persons from the previous year, including increased investigations, prosecutions, and convictions of trafficking crimes, increased assistance to victims, and decreasing evidence of complicity in severe forms of trafficking by government officials.

Countries whose governments do not fully meet the TVPA’s minimum standards and are not making significant efforts to do so.

The TVPA, as amended, lists additional factors to determine whether a country should be on Tier 2 (or Tier 2 Watch List) versus Tier 3:

• the extent to which the country is a country of origin, transit, or destination for severe forms of trafficking;
• the extent to which the country’s government does not meet the TVPA’s minimum standards and, in particular, the extent to which officials or government employees have been complicit in severe forms of trafficking;
• reasonable measures that the government would need to undertake to be in compliance with the minimum standards in light of the government’s resources and capabilities to address and eliminate severe forms of trafficking in persons;
• the extent to which the government is devoting sufficient budgetary resources to investigate and prosecute human trafficking, convict and sentence traffickers; and obtain restitution for victims of human trafficking; and
• the extent to which the government is devoting sufficient budgetary resources to protect victims and prevent the crime from occurring.

In addition, the TVPA directs the Secretary of State to consider, as proof of a country’s failure to make significant efforts to fully meet the TVPA’s minimum standards, a government policy or pattern of: human trafficking; human trafficking in government-funded programs; forced labor (in government-affiliated medical services, agriculture, forestry, mining, construction, or other sectors); sexual slavery in government camps, compounds, or outposts; or employing or recruiting child soldiers.

The TVPA also provides that any country that has been ranked Tier 2 Watch List for two consecutive years and that would otherwise be ranked Tier 2 Watch List for the next year will instead be ranked Tier 3 in that third year.   The Secretary of State is authorized to waive the automatic downgrade only once, in that third year, based on credible evidence that a waiver is justified because the government has a written plan that, if implemented, would constitute making significant efforts to meet the TVPA’s minimum standards for the elimination of trafficking and is devoting sufficient resources to implement the plan.   The following year, a country must either go up to Tier 2 or down to Tier 3.   Additionally, the TVPA limits a country to one year on Tier 2 Watch List after that country received a waiver to stay on Tier 2 Watch List and was subsequently downgraded to Tier 3.

Funding Restrictions for Tier 3 Countries

Pursuant to the TVPA, governments on Tier 3 may be subject to certain restrictions on foreign assistance, whereby the President may determine not to provide U.S. government nonhumanitarian, nontrade-related foreign assistance as defined in the TVPA.   In addition, the President may determine to withhold funding for government official or employee participation in educational and cultural exchange programs in the case of certain Tier 3 countries.   Consistent with the TVPA, the President may also determine to instruct the U.S. Executive Director of each multilateral development bank and the International Monetary Fund to vote against and use their best efforts to deny any loans or other uses of the institutions’ funds to a designated Tier 3 country for most purposes (except for humanitarian, trade-related, and certain development-related assistance).   Alternatively, the President may waive application of the foregoing restrictions upon a determination that the provision to a Tier 3 country of such assistance would promote the purposes of the TVPA or is otherwise in the national interest of the United States.   The TVPA also authorizes the President to waive these restrictions if necessary to avoid significant adverse effects on vulnerable populations, including women and children.

Applicable assistance restrictions apply for the next Fiscal Year, which begins October 1, 2024.

• TVPA Minimum Standards for the Elimination of Trafficking in Persons

Trafficking Victims Protection Act of 2000, Div. A of Pub. L. No. 106-386, § 108, as amended.

(1) The government of the country should prohibit severe forms of trafficking in persons and punish acts of such trafficking.

(2) For the knowing commission of any act of sex trafficking involving force, fraud, coercion, or in which the victim of sex trafficking is a child incapable of giving meaningful consent, or of trafficking which includes rape or kidnapping or which causes a death, the government of the country should prescribe punishment commensurate with that for grave crimes, such as forcible sexual assault.

(3) For the knowing commission of any act of a severe form of trafficking in persons, the government of the country should prescribe punishment that is sufficiently stringent to deter and that adequately reflects the heinous nature of the offense.

(4) The government of the country should make serious and sustained efforts to eliminate severe forms of trafficking in persons.

Indicia of “Serious and Sustained Efforts”

1. Whether the government of the country vigorously investigates and prosecutes acts of severe forms of trafficking in persons, and convicts and sentences persons responsible for such acts, that take place wholly or partly within the territory of the country, including, as appropriate, requiring incarceration of individuals convicted of such acts.   For purposes of the preceding sentence, suspended or significantly reduced sentences for convictions of principal actors in cases of severe forms of trafficking in persons shall be considered, on a case-by-case basis, whether to be considered an indicator of serious and sustained efforts to eliminate severe forms of trafficking in persons.   After reasonable requests from the Department of State for data regarding investigations, prosecutions, convictions, and sentences, a government which does not provide such data, consistent with a demonstrably increasing capacity of such government to obtain such data, shall be presumed not to have vigorously investigated, prosecuted, convicted or sentenced such acts.

2. Whether the government of the country protects victims of severe forms of trafficking in persons and encourages their assistance in the investigation and prosecution of such trafficking, including provisions for legal alternatives to their removal to countries in which they would face retribution or hardship, and ensures that victims are not inappropriately incarcerated, fined, or otherwise penalized solely for un-lawful acts as a direct result of being trafficked, including by providing training to law enforcement and immigration officials regarding the identification and treatment of trafficking victims using approaches that focus on the needs of the victims.

3. Whether the government of the country has adopted measures to prevent severe forms of trafficking in persons, such as measures to inform and educate the public, including potential victims, about the causes and consequences of severe forms of trafficking in persons, measures to establish the identity of local populations, including birth registration, citizenship, and nationality, measures to ensure that its nationals who are deployed abroad as part of a diplomatic, peacekeeping, or other similar mission do not engage in or facilitate severe forms of trafficking in persons or exploit victims of such trafficking, a transparent system for remediating or punishing such public officials as a deterrent, measures to pre-vent the use of forced labor or child labor in violation of international standards, effective bilateral, multilateral, or regional information sharing and cooperation arrangements with other countries, and effective policies or laws regulating foreign labor recruiters and holding them civilly and criminally liable for fraudulent recruiting.

4. Whether the government of the country cooperates with other governments in the investigation and prosecution of severe forms of trafficking in persons and has entered into bilateral, multilateral, or regional law enforcement cooperation and coordination arrangements with other countries.

5. Whether the government of the country extradites persons charged with acts of severe forms of trafficking in persons on substantially the same terms and to substantially the same extent as persons charged with other serious crimes (or, to the extent such extradition would be inconsistent with the laws of such country or with international agreements to which the country is a party, whether the government is taking all appropriate measures to modify or replace such laws and treaties so as to permit such extradition).

6. Whether the government of the country monitors immigration and emigration patterns for evidence of severe forms of trafficking in persons and whether law enforcement agencies of the country respond to any such evidence in a manner that is consistent with the vigorous investigation and prosecution of acts of such trafficking, as well as with the protection of human rights of victims and the internationally recognized human right to leave any country, including one’s own, and to return to one’s own country.

7. Whether the government of the country vigorously investigates, prosecutes, convicts, and sentences public officials, including diplomats and soldiers, who participate in or facilitate severe forms of trafficking in persons, including nationals of the country who are deployed abroad as part of a diplomatic, peacekeeping, or other similar mission who engage in or facilitate severe forms of trafficking in persons or exploit victims of such trafficking, and takes all appropriate measures against officials who condone or enable such trafficking.   A government’s failure to appropriately address public allegations against such public officials, especially once such officials have returned to their home countries, shall be considered inaction under these criteria.   After reasonable requests from the Department of State for data regarding such investigations, prosecutions, convictions, and sentences, a government which does not provide such data, consistent with a demonstrably increasing capacity of such government to obtain such data, shall be presumed not to have vigorously investigated, prosecuted, convicted, or sentenced such acts.

8. Whether the percentage of victims of severe forms of trafficking in the country that are non-citizens of such countries is insignificant.

9. Whether the government has entered into effective, transparent partnerships, cooperative arrangements, or agreements that have resulted in concrete and measurable outcomes with –

a. domestic civil society organizations, private sector entities, or international nongovernmental organizations, or into multilateral or regional arrangements or agreements, to assist the government’s efforts to prevent trafficking, protect victims, and punish traffickers; or

b. the United States toward agreed goals and objectives in the collective fight against trafficking.

10. Whether the government of the country, consistent with the capacity of such government, systematically monitors its efforts to satisfy the criteria described in paragraphs (1) through (8) and makes available publicly a periodic assessment of such efforts.

11. Whether the government of the country achieves appreciable progress in eliminating severe forms of trafficking when compared to the assessment in the previous year.

12. Whether the government of the country has made serious and sustained efforts to reduce the demand for –

a. commercial sex acts; and

b. participation in international sex tourism by nationals of the country.

• Countries in the 2024 TIP Report that are not Party to the Protocol to Prevent, Suppress and Punish Trafficking In Persons, Especially Women and Children, supplementing the United Nations Convention against Transnational Organized Crime
• Congo, Republic of the
• Korea, Democratic People’s Republic of the
• Marshall Islands
• Papua New Guinea
• Solomon Islands

Between April 2023 and March 2024, Uganda became a State Party to the Protocol.

• Global Law Enforcement Data

The 2003 reauthorization of the TVPA added to the original law a new requirement that foreign governments provide the Department of State with data on trafficking investigations, prosecutions, convictions, and sentences in order to fully meet the TVPA’s minimum standards for the elimination of trafficking (Tier 1).  The 2004 TIP Report collected this data for the first time.  The 2007 TIP Report showed for the first time a breakout of the number of total prosecutions and convictions that related to labor trafficking, placed in parentheses.

The above statistics are estimates derived from data provided by foreign governments and other sources and reviewed by the Department of State. Aggregate data fluctuates from one year to the next due to the hidden nature of trafficking crimes, dynamic global events, shifts in government efforts, and a lack of uniformity in national reporting structures.

“As we work to help people disproportionately affected by human trafficking, including members of racial and ethnic minorities, women and girls, the LGBTQI+ community, and migrants, we remain committed to learning from and partnering with survivors to support their recoveries and to recruit their help in better spotting and preventing these too often overlooked crimes.”

President Joseph R. Biden Jr. President

“I believe history will show that this was the moment when we had the opportunity to lay the groundwork for the future of AI.  And the urgency of this moment must then compel us to create a collective vision of what this future must be.  A future where AI is used to advance the public interest.”

Vice President Kamala Harris, United States

“Combating trafficking requires a strong coalition of local and global partners to share resources and information, better equip front-line workers, and track and respond to evolving trafficking trends.”

Antony Blinken, Secretary of State

“The Intelligence Community in close partnership with law enforcement has been improving its production of detailed data analysis and reporting to better discern patterns and trends in human trafficking of migrants.  And with the help of new tools for conducting such analysis, we’re investing in these efforts, we think to good effect, as we also work to continually improve our connection to both local and federal law enforcement as well as the Department of Homeland Security to assist them in their work to countering the problem.”

Avril Haines, Director of National Intelligence 

“Survivors are the real experts.  Their experiences and their perspectives can help inform and motivate our policies so that we will do more, not less, and accelerate our efforts to combat this heinous cruelty.”

U.S. Representative Chris Smith   (R-NJ)

“Yet traffickers continue to operate with impunity.  Their crimes are receiving not nearly enough attention.  This must change.  We must invest much more in detection and protection.  We must strengthen law enforcement to bring criminals that commodify human beings to justice.  And we must do more to help survivors rebuild their lives.”

A ntonio Guterres, UN Secretary-General

“We need to step up our efforts to reach every trafficking victim, by strengthening detection, investigating cases, and prosecuting the criminals involved.  We also need to proactively identify, assist, and support survivors of this crime to truly leave no one behind.  This requires support from all sectors of society, from healthcare to social services to law enforcement.”

Ghada Waly, Executive Director of UNODC

“The scourge of human trafficking continues to evolve.  Civil unrest and war across the globe, natural disasters, climate change, and the advent and increasing reach of social media all pose significant challenges.”

Sameer Jain, Member of U.S. Advisory Council on Human Trafficking

“If we are to ever defeat trafficking, and this undoubtedly must be our shared ambition, effective approaches to prevention must be the bedrock upon which our anti-trafficking efforts are built.  Preventing trafficking in human beings from taking place is the best way to truly protect vulnerable groups and deprive traffickers of the illicit proceeds the crime generates.”

OSCE Secretary General Helga Maria Schmid

“Traffickers prey on the marginalized and most vulnerable.  But we are witnessing an emerging trend where the demographic profile of trafficking victims is also expanding, at pace with the digital developments in which we are living.”

Dr. Kari Johnstone , OSCE Special  Representative and Co-ordinator for Combating Human Trafficking

“We have to talk about those things that make us uncomfortable, especially if we want to work for an end to human trafficking.  Part of that is acknowledging that when we say nothing and do nothing in the face of many of these issues we are perpetuating the same violence that was done to us.”

Rafael Bautista, Member of the U.S. Advisory Council on Human Trafficking

“Building consensus around an affirmative vision is the first line of our tech diplomacy.  But the rules, the standards, the norms that societies follow are going to determine whether this technology is used for good or whether it’s used for ill.”

• Tier Placements List

A note on Kiribati:  Reports during the 2024 reporting period indicated human trafficking crimes may have occurred in Kiribati.  However, information on anti-trafficking efforts from the Government of Kiribati and the nature and scope of trafficking in persons in Kiribati were insufficient to undertake a full assessment for the 2024 Report.  The Department of State will continue gathering information in the coming year and assess appropriate reporting for the 2025 TIP Report.

• Regional Maps

The Regional Maps will be included in the PDF accessible online version.  Below includes the region-specific Global Law Enforcement Data.

• Stopping Human Trafficking and Sexual Exploitation and Abuse (SEA) by International Peacekeepers and Civilian Personnel

This section summarizes actions taken by the United Nations (UN), the North Atlantic Treaty Organization (NATO), and the Organization for Security and Co-operation in Europe (OSCE) to prevent trafficking in persons or the exploitation of victims of trafficking during calendar year 2023.

• Relevant International Conventions

The chart below shows the Ratification, Accession (a), or Acceptance (A) of relevant international conventions for those countries that have ratified, acceded to, or accepted any such conventions between April 2023 and March 2024.  A complete list that includes the status of all of the countries covered by the Trafficking in Persons Report is available at: https://www.state.gov/international-conventions-relevant-to-combating-trafficking-in-persons/

• International, Regional, and Sub-Regional Organizations Combating Trafficking in Persons

For the 2024 Trafficking in Persons Report, the Framework Documents and other Relevant Guidance section has been consolidated to show only documents published during the reporting year: April 1, 2023 – March 31, 2024.  If you would like to review documents from previous years, please refer to the 2023 Trafficking in Persons Report .

• Annual Report to Congress on the Use of Child Soldiers under Section 405(c) of the Child Soldiers Prevention Act of 2008

This report is submitted in accordance with section 405(c) of the Child Soldiers Prevention Act of 2008 (22 U.S.C. 2370c-2(c)) (CSPA).  Section 1 lists the countries identified as being in violation of the standards under the CSPA in 2023.  Section 2 provides a description and the amounts of assistance withheld pursuant to section 404(a) of the CSPA.  Section 3 provides a list of waivers or exceptions exercised under the CSPA.  Section 4 contains the justifications for such waivers.  Section 5 provides a description and the amounts of assistance provided to countries pursuant to such waivers.

Section 1. Countries in Violation of the Standards Under the CSPA in 2023.

The Secretary of State identified the following countries as having governmental armed forces, police, or other security forces or government-supported armed groups that recruited or used child soldiers within the meaning of section 404(a) of the CSPA during the reporting period of April 1, 2022 – March 31, 2023: Afghanistan, Burma, Central African Republic (CAR), Democratic Republic of the Congo (DRC), Egypt, Eritrea, Iran, Libya, Mali, Russia, Rwanda, Somalia, South Sudan, Syria, Türkiye, Venezuela, and Yemen.

Section 2. Description and Amount of Assistance Withheld Pursuant to Section 404(a).

No security assistance subject to section 404(a) of the CSPA was planned to be provided to Afghanistan, Burma, Eritrea, Iran, Mali, Russia, Rwanda, South Sudan, Syria, or Venezuela in fiscal year (FY) 2024.

Section 3. List of Waivers or Exceptions Exercised under Section 404(a).

On September 15, 2023, the President determined that it is in the national interest of the United States to waive the application of the prohibition in section 404(a) of the CSPA with respect to Egypt; to waive, in part, the application of the prohibition in section 404(a) of the CSPA with respect to Türkiye for International Military Education and Training (IMET) and Peacekeeping Operations (PKO) assistance, issuance of direct commercial sales (DCS) licenses, and support provided pursuant to 10 U.S.C. 331 and 10 U.S.C. 333, to the extent that the CSPA would restrict such assistance or support; to waive, in part, the application of the prohibition in section 404(a) of the CSPA with respect to Libya and Somalia to allow for the provision of IMET and PKO assistance, and support provided pursuant to 10 U.S.C. 331 and 10 U.S.C. 333, to the extent that the CSPA would restrict such assistance or support; to waive, in part, the application of the prohibition in section 404(a) of the CSPA with respect to the Democratic Republic of the Congo to allow for the provision of IMET and PKO assistance and issuance of DCS licenses in connection with the reexport of transport aircraft, to the extent that the CSPA would restrict such assistance; to waive, in part, the application of the prohibition in section 404(a) of the CSPA with respect to the Central African Republic and Yemen to allow for the provision of IMET and PKO assistance, to the extent that the CSPA would restrict such assistance; and to waive the application of the prohibition in section 404(a) of the CSPA to allow for the issuance of DCS licenses related to other U.S. government assistance for the above countries and, with respect to the Russian Federation, solely for the issuance of DCS licenses in connection with the International Space Station (ISS).  The President has further certified that the governments of the above countries are taking effective and continuing steps to address the problem of child soldiers.

Section 4. Justifications for Waivers and Exceptions.

Pursuant to section 404(c) of the Child Soldiers Prevention Act of 2008 (CSPA) (22 U.S.C. 2370c-1(c)), the President has determined that it is in the national interest of the United States to waive the application of the prohibition in section 404(a) of the CSPA with respect to Egypt; to waive, in part, the application of the prohibition with respect to the Central African Republic, the Democratic Republic of the Congo, Libya, Somalia, Türkiye, and Yemen, including to allow for the issuance of direct commercial sales (DCS) licenses related to other U.S. government assistance for these countries that is not subject to the prohibition in section 404(a); and, with respect to Russia, to waive, in part, the application of the prohibition solely for DCS licenses in connection with the International Space Station.  The President has further certified that the governments of the above countries are taking effective and continuing steps to address the problem of child soldiers.  The justification for this determination and certification with respect to each country is set forth in this Memorandum.

The Central African Republic (CAR)

The President has determined it is in the national interest of the United States to waive, in part, the application of the prohibition in section 404(a) of the CSPA with respect to CAR to allow for the provision of International Military Education and Training (IMET) and Peacekeeping Operations (PKO) assistance and has certified that the CAR Government (CARG) is taking effective and continuing steps to address the problem of child soldiers.

Armed groups in CAR continue to threaten civilians and pose a longstanding risk to stability.  The waiver for PKO and IMET assistance for CAR will support the professionalization of the military to better provide security to the people of CAR while respecting human rights and international humanitarian law (IHL).  Additionally, IMET programming allows the United States to invest in CAR military officers to promote professional military education and foster relationships with foreign military personnel rooted in democratic values.

The CARG is taking effective and continuing steps to address the problem of child soldiers through meaningful engagement with U.S. and UN officials in seeking assistance to eradicate trafficking in persons, including the recruitment or use of child soldiers by CAR security forces and armed groups.  Recent efforts have included the adoption of a national plan to counter trafficking in children, government directives prohibiting the presence of children around military bases, and collaboration with the UN and implementing partners to reintegrate children affected by conflict.

The Democratic Republic of the Congo (DRC)

The President has determined it is in the national interest of the United States to waive, in part, the application of the prohibition in section 404(a) of the CSPA with respect to DRC to allow for the provision of IMET and PKO assistance and issuance of licenses for DCS in connection with the reexport of transport aircraft and has certified that the Government of the DRC (GDRC) is taking effective and continuing steps to address the problem of child soldiers.

The proliferation of armed groups amidst ongoing conflict in eastern DRC continues to threaten security and stability for the people of the DRC.  IMET and PKO assistance for the DRC enables the United States to continue professionalization efforts of the Armed Forces of the Democratic Republic of the Congo (FARDC) by enhancing its capacity to provide security within its territory while respecting human rights and IHL.  IMET and PKO assistance provide mechanisms to support security sector governance reforms and training in areas such as military justice, civil-military relations, respect for human rights and IHL, military engineering, and resource management and logistics, which enhance security and help make the FARDC a more transparent, accountable institution.

The GDRC is taking effective and continuing steps to address the problem of child soldiers through sustained commitment to implement its 2012 Action Plan to end and prevent the recruitment and use of child soldiers in partnership with the UN.  Additionally, in 2022 the GDRC adopted a national strategy for the implementation of the Demobilization, Disarmament, Community Recovery and Stabilization Program, which signals an important step in prioritizing children affected by armed conflict, particularly in eastern DRC.

The President has determined it is in the national interest of the United State to waive, in full, the application of the prohibition in section 404(a) of the CSPA with respect to Egypt and has certified that the Government of Egypt is taking effective and continuing steps to address the problem of child soldiers.

Egypt is an important U.S. partner in counterterrorism, anti-trafficking, and regional security operations, which advance both U.S. and Egyptian security. The decades-long defense partnership is a pillar for regional stability and key to securing peace with Israel, supporting the Multinational Force and Observers missions, and enhancing security of the Suez Canal.  Since 1978, the United States has provided more than $54 billion in military assistance for Egypt, which has contributed to Egypt’s capabilities to protect and defend its land, air, and maritime borders and to confront an evolving terrorist threat, including in the Sinai Peninsula.

The Government of Egypt is taking effective and continuing steps to address the problem of child soldiers, even as the scope and intensity of the counterterrorism fight in the Sinai continues to see a significant downturn; 2023 is on track to report the lowest levels of violence in the Sinai since the conflict began in 2011.  The U.S. government is not aware of the Egyptian military, police, or other security forces recruiting or using child soldiers.  Consistent with Egypt’s domestic laws and its obligations under the Optional Protocol to the Convention on the Rights of the Child on the Involvement of Children in Armed Conflict, the Egyptian government effectively prohibits persons under the age of 18 from being forcibly recruited into the armed forces.  The Government of Egypt provides critical influence in addressing the recruitment or use of child soldiers by tribal militias, and the U.S. government will continue to engage the Egyptian government regarding reports of recruitment of child soldiers by government-supported Sinai tribal forces.

The President has determined it is in the national interest of the United States to waive, in part, the application of the prohibition in section 404(a) of the CSPA with respect to Libya to allow for the provision of IMET and PKO assistance and DoD support provided pursuant to 10 U.S.C. 331 and 10 U.S.C. 333 and has certified that the Government of National Unity (GNU) in Libya is taking effective and continuing steps to address the problem of child soldiers.

The U.S. government selected Libya as a priority country for implementation of the U.S. Strategy to Prevent Conflict and Promote Stability.  The Department of State further assesses that in Libya the most durable solution to the unlawful recruitment of child soldiers, including by GNU-aligned units and the self-styled Libyan National Army, is a negotiated political settlement that ends Libya’s instability and the cycles of conflict.  IMET assistance will facilitate English language proficiency to improve interoperability and promote civil-military relations, including civilian control of a unified military.  PKO assistance will build upon the October 2020 ceasefire and support U.N. efforts to advance Libya’s transition to a unified, democratically elected, and inclusive political system based on respect for human rights.  PKO provides the U.S. government a tool to support UNSMIL in its ceasefire monitoring function.  Department of Defense support will build the capacity of Libyan military institutions in support of progress towards civilian-controlled, accountable, defense institutions that uphold human rights, combat terrorism, and address security challenges.

The GNU is taking effective and continuing steps to address the problem of child soldiers through engagement with the UN and the U.S. government in the context of our recurring bilateral Security Dialogue.  Through cooperation with UNSMIL, representatives of the Libyan 5+5 Joint Military Commission, comprised of senior military officers from both the east and west, engage with UNICEF on preventing child soldier recruitment.  The U.S. government is not aware of the GNU’s military, police, or other governmental security forces recruiting or using child soldiers.  Further, GNU security sector leaders provide critical influence to prevent and end the recruitment or use of child soldiers by armed groups in Libya and mitigate the reliance on external forces or groups for internal security.

Russian Federation

The President has determined it is in the national interest of the United State to waive, in part, the application of the prohibition in section 404(a) of the CSPA with respect to the Russian Federation to allow for issuance of licenses for DCS solely in connection with the International Space Station (ISS) and has certified that the Government of the Russian Federation is taking effective and continuing steps to address the problem of child soldiers.

It is in the U.S. national interest to work with Russia to maintain the safety of ISS operations.  Maintaining longstanding U.S.-Russia ISS operations requires the ability to issue DCS licenses for defense articles and defense services in support of the ISS until the planned termination of its operation, which the National Aeronautics and Space Administration estimates will be in 2030.  This waiver will allow such activities to continue and will enable the issuance of licenses necessary to support the safe operation of the ISS, U.S.-Russia integrated crew missions to the ISS, and the safety of U.S. and other personnel onboard the ISS.

The Russian Federation is taking effective and continuing steps to address the problem of child soldiers.  In accordance with the Russian Federation’s Law on the Ratification of the Optional Protocol to the Convention on the Rights of the Child on the Involvement of Children in Armed Conflict of 2008, the Government of the Russian Federation effectively prohibits persons under the age of 18 from being forcibly recruited into the armed forces.

The President has determined it is in the national interest of the United States to waive, in part, the application of the prohibition in section 404(a) of the CSPA with respect to Somalia to allow for the provision of IMET and PKO assistance, and DoD support provided pursuant to 10 U.S.C. 331 and 10 U.S.C. 333 and has certified that the Federal Government of Somalia (FGS) is taking effective and continuing steps to address the problem of child soldiers.

Foreign terrorist organizations including al-Shabaab continue to threaten security and stability for the people of Somalia.  The waiver for IMET and PKO assistance for Somalia enables the United States to continue professionalization efforts of the Somali National Army (SNA) by enhancing their capacity to provide security within their territory while respecting human rights and IHL.  Further, a waiver for support provided by the Department of Defense pursuant to 10 U.S.C. 331 and 10 U.S.C. 333 will allow for U.S. government assistance to build the Somali military’s capacity to conduct effective, sustained counterterrorism operations against al-Shabaab and help reinforce U.S. values, including those related to preventing and ending the unlawful recruitment or use of child soldiers.

The FGS is taking effective and continuing steps to address the problem of child soldiers through sustained commitment to implement its 2019 “road map” to accelerate progress on its 2012 Action Plan on ending the recruitment and use of children by the Somali National Armed Forces in partnership with the UN.  The SNA’s Child Protection Unit continued to make progress in implementing screening procedures, training, and disseminating media to prevent the recruitment and use of child soldiers.  The FGS also continued implementation of standard operating procedures for the handover of children allegedly associated with armed groups.

The President has determined it is in the national interest of the United States to waive, in part, the application of the prohibition in section 404(a) of the CSPA with respect to Türkiye for IMET and PKO assistance, issuance of DCS licenses, and DoD support provided pursuant to 10 U.S.C. 331 and 10 U.S.C. 333 and has certified that the Government of Türkiye is taking effective and continuing steps to address the problem of child soldiers.

Türkiye has been an important U.S. security partner and valued NATO Ally since 1952, regulating passage, in accordance with international law, through the straits of the Bosporus and the Dardanelles, which link the Black Sea with the Mediterranean. Further, Türkiye’s military capability and geographic location are vital to the United States’ integrated deterrence strategy and ability to respond to regional events including with respect to counterterrorism, humanitarian assistance, and disaster relief operations. Türkiye’s support, including defense and security cooperation, to NATO Allies and partners deters malign influence in the region. This waiver will assist in maintaining NATO cohesion and continued interoperability, bolster regional security, and advance bilateral cooperation.

The Government of Türkiye is taking effective and continuing steps to address the problem of child soldiers, including those present in elements of the Syrian National Army receiving support from the Government of Türkiye.  The United States is not aware of the Turkish military, police, or other security forces recruiting or using child soldiers.  Consistent with Türkiye’s domestic laws and its obligations under the Optional Protocol to the Convention on the Rights of the Child on the Involvement of Children in Armed Conflict, the Turkish military effectively prohibits persons under the age of 18 from being forcibly recruited into the armed forces.  Further, the Government of Türkiye provides critical influence in addressing the problem of child soldiers with respect to the Syrian National Army.

The President has determined that it is in the national interest of the United States to waive, in part, the application of the prohibition in section 404(a) of the CSPA with respect to Yemen to allow for provision of IMET and PKO assistance and has certified that the Government of the Republic of Yemen (ROYG) is taking effective and continuing steps to address the problem of child soldiers.

It is in the U.S. national interest to support UN-led efforts to achieve an inclusive negotiated political resolution to the conflict in Yemen.  The waiver for IMET assistance for Yemen enables the United States to continue to support professionalization and interoperability efforts of the Yemeni Armed Forces (YAF) by enhancing their capacity to provide inclusive security within their territory while respecting human rights and IHL.  Further, this waiver will improve the YAF’s capacity to conduct effective, sustained counterterrorism operations, ensuring freedom of navigation through the Bab Al-Mandeb Strait, and securing the space for restoring effective governance institutions.

The ROYG is taking effective and continuing steps to address the problem of child soldiers through sustained commitment to implement its 2018 “road map” to accelerate progress on its 2014 Action Plan to end and prevent the recruitment of children by Yemeni Armed Forces in partnership with the UN.  The ROYG established child protection units within all military regions, issued directives banning child recruitment, and conducted numerous senior government field visits to monitor the implementation of screening procedures to prevent child recruitment and remove children from military units.

Section 5. Description and Amount of Assistance Provided Pursuant to a Waiver.

The information provided below only includes assistance obligated as of April 20, 2024.  Additional assistance will be obligated during FY 2024.

Central African Republic

International Military Education Training $101,124

As of April 20, 2024, IMET funding was obligated for the following activity: professional military education and training.

Democratic Republic of the Congo

International Military Education Training $177,238

International Military Education Training $1,352,782

International Military Education Training $31,284

Peacekeeping Operations $31,917,530.44

As of April 20, 2024, PKO funding was obligated for Somali National Army and Somali Ministry of Defense for the following activities:

logistical support; advisory support; equipment; and program oversight.

10 U.S.C. 333 $4 ,668,640.56

As of April 20, 2024, 333 funding was obligated for the following activities: training and equipment.

International Military Education Training $182,098

International Military Education Training $339,662

As of April 20, 20, 2024, IMET funding was obligated for the following activity: professional military education and training.

• GLOSSARY OF ABBREVIATIONS

Notes:  Local currencies have been converted to U.S. dollars ($) using the currency exchange rates reported by the U.S. Department of the Treasury on December 31, 2023.

• Acknowledgments

The Staff of the Office to Monitor and Combat Trafficking in Persons Is:

Mekhribon Abdullaeva

Sylvia Amegashie

Katrina Askew-Alston

Andrea Balint Garza

Shonnie R. Ball

Suzanne Balson

Matt Becker

Getoria Berry

Brooke Beyer

Caris Boegl

Michelle C. Bloom

Alexandria Boling

Katherine Borgen

Gregory Borgstede

Kelsey Brennan

Joshua Bull

Carla M. Bury

Renée Callender

Jessica Cisneros

Kate Cooper

Camila Crowley

Reena Dalwadi

Sarah Davis

Steven Davis

Anca DiGiacomo

Daniel Evensen

Anna Fraser

Lauren Frey

Mark Forstrom

Lucia Gallegos

Beatriz Garcia Velazquez

Brianna Gehring

Chauna Gibson

Natasha Greenberg

Andrew Grimmer

Takiyah Golden

Denise Harrison

Jocelyn Harrison

Emmanuel Hector

Caitlin B. Heidenreich

Ashley Hernandez

J. Brett Hernandez

Matthew Hickey

Crystal Hill

Megan Hjelle-Lantsman

Jennifer M. Ho

Marta Hoilman

Ariana Holly

Moira Honohan

Renee Huffman

Veronica Jablonski

Harold Jahnsen

Sarah Jennings

Devin Johnson

Maurice W. Johnson

Kari A. Johnstone

Chelsea Kaser

Patrick Kelly

Emily Korenak

Kendra L. Kreider

Mary Lagdameo

Valery Lavigne

James Lensen-Callas

Rebecca Lesnak

Abigail Long

Samantha Lord

Jean McAnerney

Cameron Malcom

Bryan Marcus

LaTina Marsh

Sunny Massa

Kerry McBride

Rendi McCoy

Tamara McCoy

Maura K. McManus

Leah F. Meyer

Rebecca Morgan

Ericka Moten

Ryan Mulvenna

Dan Muncaster

Cristina Narvaez

Amy O’Neill Richard

Zury Palencia

Lauren Parnell

Ashlei Perry

Marissa Pietrobono

Sanjana Polapragada

Justin D. Pollard

David Rabinovich

Patrick Read

Andrea E. Reed

Casey Risko

Angie Rivas

Amy Rustan Haslett

Manith Sarik

Aram Schvey

Tori Jamese Scott-Senghor

Adrienne Sgarlato

Jessica Singh

Stephen Shade

Kaela Shear

Soumya Silver

Cornelius Slayton

Susan Snyder

Megan Stalder

Latoshae Summers

Desirée Suo Weymont

Jamie Sutter

Francesca J. Tadle

Atsuki Takahashi

James Taylor

Anna Thiessen

Cecilia Thompson

Juan Jose Tierjo

Wanda Toney

Andrea Ugolini

Melissa Verlaque

Matthew Villemain

Myrna E. Walch

Frances Wallman

Bianca Washington

Pauline Werner

Danielle (Nikki) Wetsel

Terry Whenry

Sharifa White

Joshua Williams

Willow Williamson

Joshua Youle

Salia Zouande

Special thanks to Brian Piaquadio, Julia Maruszewski, LeGrand Latney, Kimberly Ross, and the creative services team at Global Publishing Solutions.  Special thanks also to the ECA Bureau and technical project managers Tasha Wilkinson and Ed Williams.

Special thanks to Bukola Oriola, Dawn Schiller, Christine Cesa, Jeri Moomaw, Harold D’Souza, Jessa Crisp, Jill Brogdon, Megan Lundstrom, Rafael Bautista, Tanya Gould, and other subject matter experts with lived experience of human trafficking from the Department of State’s Human Trafficking Expert Consultant Network for their contributions to the TIP Report.

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