Child birthplace: South
Residence in 1940: South
The first generation is similarly identified as the parents of (1) southern stayers, (2) southern-born second-generation migrants, (3) northern-born second-generation migrants, and (4) northern stayers. 13 The distinction between these two groups of first-generation migrants (as parents of second-generation migrants born in the South or parents of second-generation migrants born in the North by 1940) allows us to be consistent with our analyses for the second generation, and allows us to compare first-generation individuals who may have spent more time in the North (those whose children were born in the North) to those who may have spent less time in the North (those whose children were born in the South).
We examine levels of racial residential segregation between blacks and nonblacks as measured by the metropolitan-level dissimilarity and isolation indices in 1940 and 2000. As mentioned in the preceding text, both measures are fundamental to the study of segregation, though they measure segregation in different ways. Recent research has called into question the value of these measures because their use of the population composition of census tracts to capture metropolitan-level segregation does not necessarily capture individuals’ social environments ( Grigoryeva and Ruef 2015 ; Lee et al. 2008 ; Logan and Parman 2017a ; Reardon and O’Sullivan 2004 ). While the development of new segregation measures is unquestionably valuable for understanding the complexity of segregation and, in particular, for understanding how segregation influences microlevel interactions, the dissimilarity and isolation indices offer important benefits for this analysis. Specifically, both measures have been used by numerous segregation scholars, allowing us to build upon and inform this previous work by filling in gaps in our understanding of the segregation outcomes of first- and second-generation Great Migration migrants. Additionally, these more macrolevel measures of segregation have been found to have important and enduring associations with individuals’ and families’ short- and long-term educational ( Charles 2003 ; Massey and Denton 1993 ; Massey et al. 1987 ), economic ( Flippen 2010 ; Logan and Parman 2017b ; Massey et al. 1987 ; Oliver and Shapiro 2006 ; Shapiro et al. 2013 ; Wagmiller 2007 ), and health ( LaVeist et al. 2011 ; Williams and Collins 2001 ) outcomes, to name a few. Our use of these segregation indices is motivated by our desire to understand how the Great Migration shaped opportunities for migrants and to contextualize these relationships within the narrative of the Great Migration as an important mechanism behind the dramatic increase in metropolitan-level segregation in the twentieth century.
The dissimilarity and isolation indices for 1940 and 2000 have been provided by Cutler et al. (1999) and Glaeser and Vigdor (2001) , respectively. We specifically utilize metropolitan-level segregation measures from 1940 ( Cutler et al. 1999 ) and 2000 ( Glaeser and Vigdor 2001 ), which are constructed from tract-level data concerning black and nonblack population sizes. Cutler et al. construct these indices only for metropolitan statistical areas (MSAs) with at least 1,000 black residents because dissimilarity indices are not particularly meaningful for metropolitan areas with very small black populations. We solely include MSAs for which segregation data are available from Cutler et al. Additionally, the set of metropolitan areas included in our first-generation 1940 analyses differs from the set of metropolitan areas included in our second-generation 2000 analyses. We do not restrict our analyses to metropolitan areas that were consistent from 1940 to 2000 because we prefer to separately analyze the relationship between migration and segregation for the first generation in 1940 and engage in a separate analysis of the relationship between migration and segregation for the second generation in 2000. This is in recognition of the fact that many metropolitan areas have changed dramatically over this period. We therefore believe it is more meaningful to study the generations and their residential contexts separately. This choice also allows us to capture a more representative group of individuals in 2000 than would be the case if we restricted our analyses to a small subset of metropolitan areas. Further information about the construction of these measures is provided in Cutler et al. (1999) and in Glaeser and Vigdor (2001) .
For the analyses of first-generation migrants in 1940, we only include control variables that are measured in 1940, including the educational attainment and occupational status of the first-generation respondent. For the analyses for second-generation migrants in 2000, we include controls from 1940, when the second generation resided in their parental homes. These controls include the highest grade achieved by either parent, the highest occupational status exhibited by either parent, whether the family owned their own home, and whether the family resided in a metropolitan area in 1940. 14 We also include covariates that are measured in 2000 to account for the individual’s later-life characteristics. These controls include the respondents’ age and age-squared, their gender, marital status, educational attainment (in years), logged individual income for 1999, and whether they have moved to a different state between 1940 and 2000 (to account for the influence of additional migratory events). Because the level of segregation is likely influenced by the population size of the metropolitan area and of the black population, we also include controls for the total metropolitan population size and the black metropolitan population size in 1940 for the first-generation analyses and in 2000 for the second-generation analyses; these measures are also provided by Cutler et al. (1999) and by Glaeser and Vigdor (2001) .
To examine our third question, whether second-generation migrants were more successful at translating higher socioeconomic status into less segregated residential locations, we include interactions between the second generation’s migration status and socioeconomic status, as measured by the individuals’ educational attainment and logged individual income.
We first consider the descriptive results to provide an indication of whether second-generation migrants live in more or less segregated metropolitan areas than their southern and northern stayer counterparts in 1940 and 2000. Toward that end, table 1 depicts the means and standard deviations for our outcomes and covariates by second-generation migration status.
Descriptive statistics for segregation measures and covariates by migration category
(1) Southern Stayers mean/sd | (2) Migrants, Southern Born mean/sd | (3) Migrants, Northern Born mean/sd | (4) Northern Stayers mean/sd | |
---|---|---|---|---|
Dissimilarity index, 1940 | 0.71 | 0.76 | 0.76 | 0.76 |
(0.10) | (0.08) | (0.07) | (0.07) | |
Isolation index, 1940 | 0.51 | 0.52 | 0.51 | 0.49 |
(0.13) | (0.14) | (0.14) | (0.16) | |
Dissimilarity index, 2000 | 0.55 | 0.60 | 0.62 | 0.61 |
(0.11) | (0.13) | (0.11) | (0.11) | |
Isolation index, 2000 | 0.35 | 0.36 | 0.38 | 0.35 |
(0.13) | (0.16) | (0.15) | (0.16) | |
Not in Central City Metro, 2000 | 0.37 | 0.31 | 0.35 | 0.32 |
(0.48) | (0.46) | (0.48) | (0.47) | |
In Central City Metro, 2000 | 0.63 | 0.69 | 0.65 | 0.68 |
(0.48) | (0.46) | (0.48) | (0.47) | |
Male, 2000 | 0.44 | 0.44 | 0.45 | 0.44 |
(0.50) | (0.50) | (0.50) | (0.50) | |
Age, 2000 | 67.55 | 70.91 | 67.25 | 67.92 |
(5.06) | (4.92) | (4.86) | (5.12) | |
Age-squared, 2000 | 4588 | 5052 | 4546 | 4639 |
(692.3) | (691.1) | (662.2) | (702.0) | |
Years of education, 2000 | 10.81 | 11.80 | 12.49 | 12.37 |
(3.79) | (3.12) | (2.75) | (2.65) | |
Total personal income, 2000 (logged) | 9.43 | 9.57 | 9.70 | 9.67 |
(1.01) | (0.91) | (1.02) | (0.97) | |
Living in a different state in 2000 (relative to 1940) | 0.36 | 0.46 | 0.34 | 0.32 |
(0.48) | (0.50) | (0.47) | (0.47) | |
Married, 2000 | 0.47 | 0.45 | 0.46 | 0.47 |
(0.50) | (0.50) | (0.50) | (0.50) | |
Metro area, 1940 | 0.25 | 0.83 | 0.85 | 0.61 |
(0.43) | (0.38) | (0.35) | (0.49) | |
Rural area, 1940 | 0.71 | 0.16 | 0.13 | 0.26 |
(0.45) | (0.37) | (0.34) | (0.44) | |
Owned home, 1940 | 0.22 | 0.12 | 0.20 | 0.29 |
(0.41) | (0.32) | (0.40) | (0.46) | |
Parent’s highest grade attained, 1940 | 6.10 | 7.74 | 8.71 | 9.40 |
(3.03) | (2.92) | (2.91) | (2.79) | |
Parent’s occupational score, 1940 | 2.70 | 2.90 | 2.98 | 2.88 |
(0.42) | (0.43) | (0.36) | (0.44) | |
Observations | 42,554 | 789 | 4,595 | 1,704 |
Note: Income in unadjusted, nominal values.
The first four rows of the descriptive table highlight the segregation levels experienced by second-generation migrants and their first-generation parents in 1940 and by the second-generation migrants in 2000. These results suggest that the second-generation migrants live in metropolitan areas with higher levels of segregation (as measured by the DI) relative to their southern stayer counterparts in both 1940 and 2000, as expected. However, second-generation migrants live in metropolitan areas with similar levels of segregation (as measured by the DI) relative to northern stayers. Surprisingly, all groups, including southern stayers, live in similarly isolated metropolitan areas in both 1940 and 2000, contrasting with the finding of lower average dissimilarity indices for southern stayers. Moreover, second-generation migrants and northern stayers tend to exhibit slightly higher socioeconomic statuses and to have had parents with higher socioeconomic statuses than southern stayers. As a result, the observed variation in levels of segregation may be shaped by the characteristics of the second generation and their parents.
To explore these possibilities, we turn to figure 2 , which presents the predicted levels of residential segregation from our OLS models examining the level of dissimilarity (left panel) and isolation (right panel) experienced by first-generation respondents (and their second-generation children) in 1940. Each panel contains a lighter set of bars that we refer to as the “bivariate” model and a darker set of bars that we refer to as the “multivariate” model. The bivariate model shows how the dissimilarity and isolation indices vary by migration status absent any controls; the multivariate model shows how the indices vary when individual and contextual controls are introduced. Detailed model results are presented in table 2 ; the bivariate results are presented in columns 1 and 4, and the multivariate results are presented in columns 3 and 6. The figures for the multivariate results hold all covariates constant at their means.
The predicted 1940 segregation outcomes of first-generation Great Migration migrants as measured by the dissimilarity index (left panel) and isolation index (right panel) relative to southern and northern stayers (bivariate predicted values were calculated from results in columns 1 and 3 of table 2 ; multivariate predicted values were calculated from results in columns 3 and 6 of table 2 ).
Source: 1940 and 2000 Census Long-Form Data.
Metropolitan-level dissimilarity index and isolation index in 1940 by first-generation migration status (OLS regressions)
(1) Dissimilarity in 1940 | (2) Dissimilarity in 1940 | (3) Dissimilarity in 1940 | (4) Isolation in 1940 | (5) Isolation in 1940 | (6) Isolation in 1940 | |
---|---|---|---|---|---|---|
Northern stayers | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. |
Southern stayers | −0.0505 | −0.0007 | 0.0008 | 0.0189 | −0.0066 | −0.0037 |
(0.0022) | (0.0022) | (0.0023) | (0.0051) | (0.0044) | (0.0045) | |
Movers, southern-born children | 0.0051 | 0.0033 | 0.0054 | 0.0258 | 0.0145 | 0.0176 |
(0.0044) | (0.0044) | (0.0043) | (0.0085) | (0.0070) | (0.0070) | |
Movers, northern-born children | 0.0036 | −0.0022 | −0.0007 | 0.0166 | 0.0094 | 0.0116 |
(0.0025) | (0.0026) | (0.0026) | (0.0056) | (0.0046) | (0.0047) | |
Population in 1940 (in 10,000s) | 0.0023 | 0.0023 | 0.0002 | 0.0002 | ||
(0.0000) | (0.0000) | (0.0001) | (0.0001) | |||
Black pop. in 1940 (in 10,000s) | −0.0074 | −0.0074 | 0.0106 | 0.0107 | ||
(0.0001) | (0.0001) | (0.0003) | (0.0003) | |||
Highest parent grade, 1940 | 0.0010 | 0.0016 | ||||
(0.0002) | (0.0003) | |||||
Highest parent occupation score, 1940 | −0.0086 | −0.0109 | ||||
(0.0015) | (0.0022) | |||||
Constant | 0.7579 | 0.6912 | 0.7065 | 0.4901 | 0.4253 | 0.4415 |
(0.0020) | (0.0025) | (0.0050) | (0.0050) | (0.0047) | (0.0080) | |
Observations | 19,749 | 19,749 | 19,749 | 19,749 | 19,749 | 19,749 |
Adjusted R-Square | 0.0542 | 0.2369 | 0.2388 | 0.0011 | 0.1354 | 0.1373 |
Source: 1940 Census data linked to 2000 Census data.
Note: Robust standard errors in parentheses.
As can be seen in the left panel of figure 2 , the bivariate results for the DI suggest that black southern stayers live in the least segregated metropolitan areas and that only trivial differences in segregation distinguish blacks residing in the North (i.e., northern stayers and migrants). However, the multivariate results displayed in the left panel of figure 2 show that, after the introduction of contextual characteristics—including the total and black population size in the metropolitan area, as well as individual-level socioeconomic characteristics—no statistically significant group differences in the metropolitan-level DI remain. It is therefore largely because of the widely different metropolitan contexts in the South and the North and, to a considerably lesser extent, the varying socioeconomic profiles of migrants and nonmigrants, that southern stayers lived in less segregated metropolitan areas in 1940, as measured by the DI, relative to first-generation migrants and northern stayers. 15
In contrast to the findings for the DI, the bivariate results for the II shown in the right panel of figure 2 suggest that northern stayers enjoyed the lowest levels of residential isolation, though the variation by migration history is quite small. When contextual and individual-level controls are introduced, the multivariate results show that southern migrants in the North are found to be exposed to the highest levels of isolation. Though, again, the group differences in residential segregation, as measured by the II, are very modest in magnitude ranging only from 0.505 for southern stayers to 0.527 for second-generation migrants who were born in the South. These findings are relatively consistent with those of other studies that tend to find that regional variation in segregation is lower when measured using the II relative to the DI ( Massey and Denton 1993 ).
Two findings stand out from our analysis of segregation patterns in 1940. First, all blacks in our analytic sample, regardless of migration history, were exposed to very high levels of residential segregation, whether measured with the DI or the II. 16 Second, although the multivariate evidence for the II suggests somewhat higher levels of segregation for first-generation southern migrants (and their second-generation children) residing in the North, the group differences are minuscule in magnitude, particularly once contextual characteristics including the total population and black population sizes of the metropolitan area are considered.
We next consider whether the relative exposure to segregation for second-generation migrants changed during the twentieth century. As before, we first consider the DI as an indicator of racial residential segregation in the year 2000. These results are summarized in the left panel of figure 3 (as before, with detailed bivariate results presented in column 1 of table 3 and detailed multivariate results presented in column 4 of table 3 ).
The predicted segregation outcomes of second-generation Great Migration migrants in 2000 as measured by the dissimilarity index (left panel) and isolation index (right panel) relative to southern and northern stayers (bivariate predicted values were calculated from results in columns 1 and 4 of table 3 ; multivariate predicted values were calculated from results in columns 5 and 8 of table 3 ).
Metropolitan-level dissimilarity index and isolation index in 2000 by second-generation migration status (OLS regressions)
(1) Dissimilarity in 2000 | (2) Dissimilarity in 2000 | (3) Dissimilarity in 2000 | (4) Dissimilarity in 2000 | (5) Isolation in 2000 | (6) Isolation in 2000 | (7) Isolation in 2000 | (8) Isolation in 2000 | |
---|---|---|---|---|---|---|---|---|
Northern stayers | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. | Ref. |
Southern stayers | −0.0620 | −0.0622 | −0.0566 | −0.0604 | −0.0041 | −0.0367 | −0.0298 | −0.0310 |
(0.0028) | (0.0027) | (0.0027) | (0.0029) | (0.0040) | (0.0037) | (0.0037) | (0.0038) | |
Southern-born movers | −0.0096* | −0.0118 | −0.0177 | −0.0242 | 0.0112 | 0.0032 | −0.0054 | −0.0080 |
(0.0053) | (0.0051) | (0.0051) | (0.0054) | (0.0070) | (0.0063) | (0.0063) | (0.0064) | |
Northern-born movers | 0.0117 | 0.0083 | 0.0025 | 0.0014 | 0.0242 | 0.0197 | 0.0115 | 0.0114 |
(0.0032) | (0.0030) | (0.0030) | (0.0032) | (0.0046) | (0.0041) | (0.0041) | (0.0041) | |
Population (in 10,000s), 2000 | 0.0001 | 0.0001 | 0.0001 | −0.0004 | −0.0003 | −0.0004 | ||
(0.0000) | (0.0000) | (0.0000) | (0.0000) | (0.0000) | (0.0000) | |||
Black pop. (in 10,000s), 2000 | 0.0008 | 0.0007 | 0.0010 | 0.0035 | 0.0034 | 0.0035 | ||
(0.0000) | (0.0000) | (0.0000) | (0.0000) | (0.0000) | (0.0000) | |||
Metro area, 1940 | 0.0180 | 0.0236 | 0.0262 | 0.0285 | ||||
(0.0011) | (0.0011) | (0.0013) | (0.0013) | |||||
Owned home, 1940 | −0.0048 | −0.0027 | −0.0039 | −0.0026* | ||||
(0.0012) | (0.0012) | (0.0013) | (0.0014) | |||||
Highest parent grade | −0.0007 | −0.0004 | −0.0013 | −0.0009 | ||||
(0.0002) | (0.0002) | (0.0002) | (0.0002) | |||||
Highest parent occupation score | 0.0054 | 0.0057 | 0.0060 | 0.0066 | ||||
(0.0011) | (0.0011) | (0.0013) | (0.0013) | |||||
Male | −0.0028 | −0.0033 | ||||||
(0.0010) | (0.0012) | |||||||
Age | 0.0018 | 0.0021 | ||||||
(0.0025) | (0.0030) | |||||||
Age-squared | −0.0000 | −0.0000 | ||||||
(0.0000) | (0.0000) | |||||||
Years of education | −0.0007 | −0.0009 | ||||||
(0.0001) | (0.0002) | |||||||
Logged individual income | −0.0020 | −0.0029 | ||||||
(0.0005) | (0.0006) | |||||||
Live in different state | 0.0296 | 0.0106 | ||||||
(0.0011) | (0.0013) | |||||||
Married | −0.0049 | −0.0046 | ||||||
(0.0010) | (0.0011) | |||||||
Constant | 0.6123 | 0.5769 | 0.5580 | 0.5115 | 0.3521 | 0.3367 | 0.3170 | 0.2710 |
(0.0027) | (0.0027) | (0.0042) | (0.0870) | (0.0040) | (0.0037) | (0.0053) | (0.1011) | |
Observations | 49,642 | 49,642 | 49,642 | 49,642 | 49,642 | 49,642 | 49,642 | 49,642 |
Adjusted R-Square | 0.0463 | 0.1372 | 0.1428 | 0.1584 | 0.0037 | 0.2328 | 0.2403 | 0.2433 |
Compared with the average levels of the DI in 1940 presented in figure 2 , the level of segregation experienced by our sample in 2000 was considerably lower, consistent with research showing declines in segregation over time ( Glaeser and Vigdor 2012 ). Turning to differences by migration status, the bivariate results reveal that southern stayers (DI = 0.550) and southern-born second-generation migrants (DI = 0.603) live in significantly less segregated metropolitan areas than northern stayers (DI = 0.612), though these relationships are quite modest, particularly for southern-born second-generation migrants. Northern-born second-generation migrants (DI = 0.624), in contrast, live in more segregated metropolitan areas, although again the difference is minimal. These differentials remain relatively stable in the multivariate models. Southern stayers remain the least segregated (DI = 0.552) and northern-born second generation migrants the most segregated (DI = 0.613). However, the level of segregation experienced by the latter group is no longer significantly different from that observed for northern stayers (DI = 0.612) when control variables are included and, as was the case in bivariate models, group differences in exposure to segregation are quite small. 17
The results for the II in 2000 (right panel of figure 3 ) show, once again, that overall levels of residential segregation for our sample declined significantly between 1940 and 2000. Turning to differences in segregation by migration status, the bivariate patterns reveal very little variation by migration status in the level of segregation as measured by the II, varying only from a low value of 0.348 for southern stayers to a high of 0.376 for northern-born, second-generation migrants. While the difference between northern-born second-generation migrants and northern stayers (II = 0.352) is statistically significant, it is trivial in magnitude. The results from the multivariate models are substantively consistent with those from the bivariate models, revealing, again, little overall variation by migration status in exposure to segregated urban environments—ranging only from a low of 0.346 for southern stayers to a high of 0.388 for northern-born movers. The differences between those two groups and northern stayers (the reference, II = 0.377) are statistically significant, but not substantively meaningful. As was the case for the bivariate models, southern-born second-generation migrants do not exhibit significantly different IIs relative to northern stayers.
The evidence from 1940 and 2000 using both the dissimilarity and isolation indices, yields two major conclusions. First, second-generation Great Migration migrants were exposed to substantially lower levels of residential segregation in 2000 than in 1940 when they resided with their parents. Second, once relevant control variables are taken into account, variation by migration status in the level of exposure to racial residential segregation is minimal. While some intergroup contrasts were large enough to attain statistical significance, the differences were small enough as to be considered not particularly meaningful. In sum, we find little evidence that, by moving north, second-generation migrants gained an advantage over their counterparts who remained in the South, with respect to exposure to racial residential segregation—either in the short or the long term. However, neither were first- or second-generation migrants substantially disadvantaged by their moves North, a finding that is somewhat surprising in light of the consistently higher levels of segregation documented in the North versus the South ( Massey and Denton 1993 ). Additionally, migrants and their children suffered no meaningful residential disadvantage when compared to African Americans with longer histories in the North.
While the Great Migration does not seem to be associated with beneficial improvements (nor considerable deterioration) in black first- and second-generation migrants’ exposure to segregation, it remains possible that first- and second-generation migrants did experience larger returns than northern or southern stayers to their socioeconomic status in terms of greater declines in segregation as their educations and/or incomes increased. Indeed, many individuals migrated North because they felt they could not adequately capitalize on their educational attainment and other socioeconomic resources in the South, in part because of a lack of economic opportunities during the Great Migration and because of discrimination. We therefore consider the possibility of such differential returns to socioeconomic status in the attainment of residence in less segregated metropolitan areas in 2000 by separately including two sets of multiplicative interaction terms—one set for migration status and educational attainment ( table 4 ) and a second set for migration status and income ( table 5 ). 18 For ease of interpretation and discussion, we have used the multivariate model results from column 4 of tables 4 and and5 5 to generate predicted levels of residential segregation by migration status and socioeconomic status. The predicted values of the DI by level of education are presented in the left-hand panel of figure 4 , those by income level are highlighted in the right-hand panel. The respective 95 percent confidence intervals for each predicted value are also included in figure 4 . The graphs in figure 4 hold all covariates, other than migration status, education, and income, constant at their mean values. While educational attainment is measured as a continuous years of education variable, we calculate our predicted values in figure 4 by holding educational attainment at meaningful levels (i.e., less than a high school degree, high school degree, some college, and a college degree or more) given that this is a more meaningful comparison than comparing incremental increases by single years of education.
The predicted level of dissimilarity as measured by migration status, educational attainment (left panel) and income (right panel) (calculated from fully specified multivariate results presented in column 4 of tables 4 and and5 5 ).
Sources: 1940 and 2000 Census Long-Form Data.
Metropolitan-level dissimilarity index in 2000 by second-generation migration status interacted with educational attainment (OLS regressions)
(1) Dissimilarity in 2000 | (2) Dissimilarity in 2000 | (3) Dissimilarity in 2000 | (4) Dissimilarity in 2000 | |
---|---|---|---|---|
Northern stayers | Ref. | Ref. | Ref. | Ref. |
Southern stayers | −0.0612 | −0.0619 | −0.0557 | −0.0594 |
(0.0028) | (0.0027) | (0.0027) | (0.0029) | |
Southern-born movers | −0.0104* | −0.0126 | −0.0180 | −0.0244 |
(0.0054) | (0.0052) | (0.0052) | (0.0055) | |
Northern-born movers | 0.0121 | 0.0087 | 0.0031 | 0.0018 |
(0.0032) | (0.0030) | (0.0030) | (0.0032) | |
Years of education | −0.0037 | −0.0036 | −0.0038 | −0.0042 |
(0.0011) | (0.0010) | (0.0010) | (0.0011) | |
Southern stayers*Ed. | 0.0038 | 0.0033 | 0.0033 | 0.0039 |
(0.0011) | (0.0010) | (0.0010) | (0.0011) | |
Southern-born movers*Ed. | 0.0019 | 0.0017 | 0.0019 | 0.0026 |
(0.0018) | (0.0018) | (0.0018) | (0.0019) | |
Northern-born movers*Ed. | −0.0007 | −0.0011 | −0.0009 | −0.0011 |
(0.0013) | (0.0012) | (0.0012) | (0.0013) | |
Population (in 10,000s) | 0.0001 | 0.0001 | 0.0001 | |
(0.0000) | (0.0000) | (0.0000) | ||
Black pop. (in 10,000s) | 0.0008 | 0.0007 | 0.0010 | |
(0.0000) | (0.0000) | (0.0000) | ||
Metro area | 0.0183 | 0.0235 | ||
(0.0011) | (0.0011) | |||
Owned home | −0.0043 | −0.0028 | ||
(0.0012) | (0.0012) | |||
Highest parent grade | −0.0004 | −0.0004 | ||
(0.0002) | (0.0002) | |||
Highest parent occupation score | 0.0057 | 0.0056 | ||
(0.0011) | (0.0011) | |||
Male | −0.0027 | |||
(0.0010) | ||||
Age | 0.0016 | |||
(0.0025) | ||||
Age-squared | −0.0000 | |||
(0.0000) | ||||
Logged individual income | −0.0019 | |||
(0.0005) | ||||
Live in different state | 0.0301 | |||
(0.0011) | ||||
Married | −0.0049 | |||
(0.0010) | ||||
Constant | 0.6117 | 0.5762 | 0.5538 | 0.5079 |
(0.0028) | (0.0027) | (0.0043) | (0.0869) | |
Observations | 49,642 | 49,642 | 49,642 | 49,642 |
Adjusted R-Square | 0.0477 | 0.1387 | 0.1445 | 0.1599 |
Metropolitan-level dissimilarity index in 2000 by second-generation migration status interacted with individual income (OLS regressions)
(1) Dissimilarity in 2000 | (2) Dissimilarity in 2000 | (3) Dissimilarity in 2000 | (4) Dissimilarity in 2000 | |
---|---|---|---|---|
Northern stayers | Ref. | Ref. | Ref. | Ref. |
Southern stayers | −0.0610 | −0.0614 | −0.0556 | −0.0592 |
(0.0028) | (0.0027) | (0.0028) | (0.0030) | |
Southern-born movers | −0.0098* | −0.0123 | −0.0180 | −0.0243 |
(0.0055) | (0.0052) | (0.0052) | (0.0056) | |
Northern-born movers | 0.0120 | 0.0086 | 0.0029 | 0.0016 |
(0.0033) | (0.0031) | (0.0031) | (0.0033) | |
Logged individual income | −0.0082 | −0.0085 | −0.0084 | −0.0084 |
(0.0030) | (0.0028) | (0.0028) | (0.0030) | |
Southern stayers*Inc. | 0.0078 | 0.0070 | 0.0069 | 0.0074 |
(0.0030) | (0.0028) | (0.0028) | (0.0030) | |
Southern-born movers*Inc. | 0.0027 | 0.0015 | 0.0016 | 0.0025 |
(0.0061) | (0.0059) | (0.0059) | (0.0061) | |
Northern-born movers*Inc. | 0.0007 | 0.0006 | 0.0006 | 0.0006 |
(0.0034) | (0.0032) | (0.0032) | (0.0034) | |
Population (in 10,000s) | 0.0001 | 0.0002 | 0.0001 | |
(0.0000) | (0.0000) | (0.0000) | ||
Black pop. (in 10,000s) | 0.0008 | 0.0007 | 0.0010 | |
(0.0000) | (0.0000) | (0.0000) | ||
Metro area | 0.0180 | 0.0236 | ||
(0.0011) | (0.0011) | |||
Owned home | −0.0047 | −0.0027 | ||
(0.0012) | (0.0012) | |||
Highest parent grade | −0.0006 | −0.0004 | ||
(0.0002) | (0.0002) | |||
Highest parent occupation score | 0.0054 | 0.0057 | ||
(0.0011) | (0.0011) | |||
Male | −0.0028 | |||
(0.0010) | ||||
Age | 0.0019 | |||
(0.0025) | ||||
Age-squared | −0.0000 | |||
(0.0000) | ||||
Years of education | −0.0007 | |||
(0.0001) | ||||
Live in different state | 0.0297 | |||
(0.0011) | ||||
Married | −0.0050 | |||
(0.0010) | ||||
Constant | 0.6112 | 0.5756 | 0.5556 | 0.4883 |
(0.0028) | (0.0028) | (0.0043) | (0.0868) | |
Observations | 49,642 | 49,642 | 49,642 | 49,642 |
Adjusted R-Square | 0.0469 | 0.1380 | 0.1437 | 0.1588 |
Figure 4 . (left panel) illustrates that, with respect to residing in less residentially segregated metropolitan areas, southern stayers experienced the weakest returns to educational attainment, with virtually no variation in their DIs by years of schooling. Second-generation migrants, in contrast, receive somewhat greater residential benefits associated with increases in their educational attainment. Specifically, the DIs of northern-born second-generation migrants decline as they proceed from less than a high school degree to a high school degree (a decline of 2.05 percent), from a high school degree to some college (a decline of 4.82 percent), and from some college to a college degree (a decline of 2.20 percent), with a small rebound for individuals with more than a college degree. Southern-born second-generation migrants also experience declines in their segregation indices as their educational attainment increases, though these declines are more modest than they are for either northern-born second-generation migrants or northern stayers.
Turning to the evidence regarding differential returns to income ( figure 4 , right panel) we find further evidence that socioeconomic status is unrelated to levels of residential segregation for southern stayers. For all other groups, the association between earnings and residential segregation is stronger than for southern stayers. However, the findings reveal that it is only the highest income blacks (those with incomes in the upper 75th percentile) that experience lower levels of residential segregation relative to blacks with lower income levels. Across all other income levels, blacks do not experience declining segregation as their incomes increase. In general, these patterns of differential returns to education and income are similar when residential segregation is measured using the II, rather than the DI (results available upon request).
Two final points regarding our investigation of the differential returns to socioeconomic status by migration history deserve emphasis. First, and consistent with the general evidence regarding the overall levels of residential segregation experienced by all members of our sample, the range of residential segregation across all gradients of education and income falls within a very narrow band. For instance, the predicted DI for the most and least educated northern stayers is 0.579 and 0.630, respectively. Similarly, the predicted DI for northern-born second-generation migrants with the highest and lowest incomes is 0.590 and 0.620, respectively. Thus, the quite modest differential returns to socioeconomic status that we have described must be situated within a national context of high levels of residential segregation for all African Americans, regardless of education or income. Second, within that national context, southern stayers were exposed to the lowest levels of residential segregation. Even the least educated (DI = 0.555) and lowest earners (DI = 0.552) among southern stayers reside in less segregated metropolitan areas than the most educated and highest earners among northern stayers (DI = 0.579 and DI = 0.584, respectively) and northern-born second-generation migrants (DI = 0.596 and DI = 0.590), respectively.
Our study is motivated by an interest in how participants in the Great Migration fared throughout the twentieth century with respect to their relative exposure to racially segregated residential environments. Given the dramatic increase in segregation as the Great Migration unfolded, the concentration of Great Migration migrants and their children in particularly segregated metropolitan areas such as Chicago and Detroit, and the powerful associations between segregation and life course outcomes, this investigation is important for understanding the potential short- and long-term benefits and costs of the Great Migration for migrants and their children. It also provides valuable insights into how this transformative migration event may have shaped individuals’ exposures to segregation into the twenty-first century. Our primary focus was on second-generation migrants in their later life, though their coresidence in 1940 with their migrant parents also permitted insights into the residential experience of first-generation migrants.
Contrary to our expectations (and first hypothesis) that first- and second-generation migrants would live in metropolitan areas with lower levels of segregation than northern stayers, we found no meaningful variation in exposure to segregation for migrants and nonmigrants residing in the North. Newcomers from the South therefore neither appeared to benefit from, nor were they disadvantaged by, their migration experiences and shallower roots in the North relative to northern stayers.
In contrast, we found that first- and second- generation migrants resided in more segregated metropolitan areas than southern stayers in both 1940 and 2000 (as posited by Hypothesis 2). However, for first-generation migrants this differential was almost entirely explained by differences in the metropolitan contexts of the South and the North (supporting Hypothesis 2a, that these differentials would be explained by the metropolitan context). For second-generation migrants, contextual, individual, and familial characteristics played little role in explaining these differentials, contrasting with Hypothesis 2a as well as with Hypothesis 2b where we expected that the gaps between migrants and southern-stayers would be larger for the first generation. The somewhat larger gaps in segregation outcomes for the second generation is potentially important and could reflect the fact that segregation is declining less in urban areas in the Northeast and North Central regions of the United States relative to urban areas in the West and South ( Logan et al. 2004 ). Those living in the North may therefore continue to see their segregation outcomes deteriorate relative to individuals living elsewhere in the United States.
Thus, despite the long history of de jure racial discrimination in the South, and a generally hostile cultural context at least through the end of the Great Migration, those African Americans who remained in the South’s metropolitan areas and their children were exposed to somewhat less segregated urban environments than those who left the region prior to 1940, and this was particularly the case for the second generation in their adulthood. This has important implications for how we understand the long-term benefits and costs of the Great Migration, given that segregation structures numerous outcomes throughout the life course. The finding that segregation outcomes were more equitable for the first generation relative to the second generation also suggests the importance of examining the returns to the Great Migration over the long term and indicates that the persistently high levels of segregation in many northern urban areas could progressively erode the intergenerational benefits of moving North.
That being said, scholars have argued that the lower levels of segregation exhibited by the South are due, in part, to the South’s historic reliance on social rather than residential segregation, as exemplified by the Jim Crow laws ( Grigoryeva and Ruef 2015 ; Massey 2001 ; Massey and Denton 1993 ). The lower levels of segregation in the South are also partially reflective of traditional residential patterns in which southern blacks lived in the alleys or side streets adjoining white streets, patterns that often became entrenched during slavery and that later enabled black servants to live near white employers ( Demerath and Gilmore 1954 ; Grigoryeva and Ruef 2015 ; Logan and Martinez 2018 ; Massey and Denton 1993 ). Indeed, Logan and Martinez (2018) find that the South exhibited high levels of segregation in the 1880s when segregation is measured at a small geographic scale, such as at the street segment, alley, or block level (see also Logan and Parman 2017a ). Consequently, while southern stayers were exposed to slightly lower metropolitan levels of segregation, particularly in 2000, this does not necessarily mean they resided in a more equitable residential context. Future investigations of North-South differences in the residential experience of Great Migration participants might benefit from the exploration of alternative, more microlevel orientations to measuring racial residential segregation. In this study we have opted for the more conventional measures of dissimilarity and isolation to maintain greater consistency with the vast majority of past research on racial residential segregation and because these measures have been found to have important associations with a wide variety of life outcomes, as discussed in the preceding text.
Finally, we found that second-generation migrants enjoyed greater residential returns to their socioeconomic status than southern stayers, a finding that supports Hypothesis 3 (that black southern stayers would be the least able to utilize their socioeconomic resources to move into less segregated metropolitan areas). Thus, despite residing in less segregated communities overall, African Americans who remained in the South were less successful than those who left the region at translating higher educations or larger incomes into progressively more integrated residential environments. This finding offers support for many Great Migration migrants’ expectations that they would be better able to capitalize on their socioeconomic resources in the North, in part, because of the expectation that the North had less overt discriminatory barriers to success ( Wilkerson 2010 ). As such, this finding may also offer support for the Place Stratification Perspective and its emphasis on the role of discrimination in shaping racial disparities in outcomes.
Beyond these tests of specific hypotheses, what general conclusions can we glean from our study of the residential experience of Great Migration participants? First, if we use as a basis of comparison the levels of segregation experienced by those who remained in the South, our findings suggest little residential benefit from moving north. This conclusion is generally consistent with recent research that has inferred relatively modest, or no, economic benefits associated with leaving the South, as measured by employment status, income, or occupational prestige (e.g., Alexander et al. 2017 ; Eichenlaub et al. 2010 ; see, however, Boustan 2016).
The finding of no benefits in terms of the segregation outcomes of first- and second-generation Great Migration migrants yields two different interpretations. On the one hand, given the higher levels of segregation documented for northern urban areas relative to southern urban areas ( Iceland 2004 ; Massey and Denton 1993 ), it is surprising and perhaps encouraging that first- and second-generation migrants do not appear to be substantively disadvantaged by their parents’ decisions to migrate North. On the other hand, the minimal variation in levels of segregation by migration status revealed by our analyses could be seen as a discouraging treatise on the entrenched nature of segregation in the United States. Indeed, our findings agree with the general literature on racial residential segregation that shows that residence in segregated urban areas remains a highly prevalent experience for African Americans ( Logan 2013 ; Massey and Rugh 2014 ), though our analysis is unique in showing that black southerners are only slightly less segregated at the metropolitan level relative to comparable northerners. Moreover, the very modest differences in exposure to segregated environments between those with the most education and highest incomes, versus those with the least education and lowest incomes, is reflective of the difficulty that even high socioeconomic status African Americans have escaping segregated communities ( Adelman 2004 ; Charles 2003 ; Iceland and Wilkes 2006 ; Massey and Denton 1993 ; Massey et al. 1987 ; Pattillo 2005 ). Similarly, our covariates, including contextual, parental, and individual characteristics, play a very small role in explaining the relationships we observe among second-generation migrants in 2000. It is also largely only contextual characteristics, and not parental socioeconomic status, that explain the disparities in exposure to segregation among first-generation migrants and nonmigrants. We therefore find little evidence that the Spatial Assimilation Perspective explains our relationships, a finding that is consistent with a variety of studies showing that socioeconomic status explains only a small portion of blacks’ exposure to segregation ( Charles 2003 ; Iceland and Wilkes 2006 ; Pais et al. 2012 ; Sander et al. 2018 ). The small segregation differentials across migration and socioeconomic statuses are therefore perhaps more reflective of the virtual inescapability of segregation for many blacks and the highly stratified nature of the US urban context. This has important implications for blacks’ outcomes in a wide variety of areas of life, as outlined in the preceding text.
Our study is subject to certain limitations that deserve to be noted. Our analyses for second-generation migrants in the year 2000 focus on individuals who were typically between 60–70 years old. We are unable to examine the residential experiences of our sample of second-generation migrants at any time point between 1940 and 2000. Second, our investigation does not include the second generation of migrants who were part of the heavy outmigration of southerners after World War II. Therefore, we are not able to generalize our results to second-generation migrants participating in this later wave of the Great Migration. This is a consequence of data availability. Forward linkage of individuals enumerated in the 1950 US Census to subsequent long-form census samples will be possible after 2022, when the 72-year embargo period for the 1950 Census expires. Our focus on this cohort means that our results may be subject to period effects such as the potentially unique housing and socioeconomic trajectories of a cohort that were largely young adults during the civil rights period and whose decisions of where to live were shaped in important ways by the events occurring during this period. Indeed, Wagmiller et al. (2017) demonstrate that individuals who came of age prior to the 1960s were more consistently residentially segregated than subsequent cohorts. The decreasing consistency of exposure to segregation we observe between parents in 1940 and their children in 2000 suggests that this trend may have been occurring over an even longer term. The importance of period effects for influencing our results should therefore be acknowledged. Additionally, our analysis almost certainly includes some unmeasured error due to failed record linkage. We are unable to assign PIKs for approximately 30 percent of children in the 1940 Census. Among those assigned a PIK in 1940, we were unable to link 30 percent of that total forward to the 2000 Census long form. Our results might be biased by this linkage procedure if, for example, survival to 2000 is related to early-life conditions, education, and income, causing our analysis to focus on a sample with a somewhat more advantaged socioeconomic profile and affecting the validity and generalizability of our results. However, our sample of linked cases from the 1940 Census is highly comparable to the original sample of individuals for whom matches were sought, suggesting this bias is likely minimal (results available upon request). Our analyses of segregation outcomes in 1940 are also reflective of a relatively selective subset of metropolitan areas that had been tracted by 1940. As a result, these analyses may capture a more select group of migrants and nonmigrants. Finally, because of our focus on second-generation migrants, we do not include first-generation migrants who were not parents and whose children could not be linked between the 1940 and 2000 censuses. As such, our first-generation analyses cannot be generalized to the wider population of southerners who moved to the North prior to 1940.
Despite these limitations, ours is the first study to investigate how individual participants in the Great Migration fared with respect to escaping racially segregated urban areas compared to their counterparts in the North and South who had not engaged in interregional migration. Therefore, our findings, and the conclusions they support, represent an important contribution to our understanding of the long-term consequences of one of the most important demographic events in US history. Combined with Boustan’s (2016) conclusion that the Great Migration contributed to “white flight” from northern central cities, our findings offer little reason to believe that the migrants’ decision to leave the South had significant, salutary consequences for their exposure to racial residential segregation. Rather, blacks experience similar levels of segregation regardless of their migration status, region of residence, and socioeconomic status. Despite enormous changes between 1940 and 2000, and despite the dramatic demographic transformations brought on by the Great Migration, the African American experience across the United States therefore has been and remains one of entrenched inequality and systematic residential separation.
This research was conducted as a part of the Census Longitudinal Infrastructure Project (CLIP). Any opinions and conclusions expressed herein are those of the authors and do not necessarily represent the views of the US Census Bureau. Partial support for this research came from a Shanahan Endowment Fellowship and a Eunice Kennedy Shriver National Institute of Child Health and Human Development training grant, T32 HD007543, as well as a Eunice Kennedy Shriver National Institute of Child Health and Human Development research infrastructure grant, P2C HD042828 to the Center for Studies in Demography & Ecology at the University of Washington. Support for this research also came from the University of Colorado Population Center (2P2CHD066613). We would like to thank the two anonymous reviewers for their valuable feedback and suggestions.
1 See, however, Logan and Parman (2017a ) who measure segregation in smaller geographies (by next-door neighbors) and find little evidence that black migration patterns in the twentieth century drove residential segregation.
2 The nonsignificance of this relationship for single motherhood status for 1940 and 1950 and the inconsistency of a negative relationship between segregation and single motherhood could be a result of the increasing influence of incarceration during this period on the probability of single motherhood, which has limited the availability of partners in black neighborhoods ( Dauria et al. 2015 ; Messner and Sampson 1991 ; South and Lloyd 1992 ).
3 In a separate study (Leibbrand et al. 2018), we explore the relationship between second-generation migration status and neighborhood outcomes including residence in a central city versus a suburban neighborhood. Interested readers can consult this article for further information or contact the corresponding author.
4 We use census-defined regions to classify metropolitan areas within the non-South and South. The non-South includes the Northeast, Midwest (or North Central), and West regions. We therefore do not distinguish between western and northern areas of the United States. Separately examining westerners from northerners would lead to a potential proliferation of comparison groups, including native westerners and those who had migrated from the North to the West and from the South to the West. Given that relatively few blacks migrated to the West, our results for these groups would also be highly tenuous. To ensure that our results are robust and not overly complex, we focus on the South versus North comparison, though distinguishing the potentially unique segregation outcomes of westerners would be a valuable avenue for future research.
5 The information contained in figure 1 is based on data collected and made available by Glaeser and Vigdor (2012) . Segregation measures for 1940 through 2000 are based on census tracts while earlier measures are based on wards. The boundaries for metropolitan areas on which figure 1 is based were not necessarily constant over time.
6 Unlike the DI, the II is affected by the relative sizes of the two populations being compared. This partially accounts for the comparatively low level observed for the II.
7 Derived from data presented in Series A 172–194 Population of Regions, by Sex, Race, Residence, Age, and Nativity: 1790–1970 ( US Bureau of the Census 1975 : 22). The data for 1970 refer to “Negro and Other Races.” However, the small percentage of the “Other Race” population in the South in 1970 makes this a reasonable estimate of the proportion of the southern black population that resided in urban areas.
8 Conventional wisdom regarding regional differences in racial residential segregation has described greater segregation in the non-South than in the South (e.g., Cutler et al. 1999 ; Massey and Denton 1993 ). This is generally true for the DI in figure 1 but not for the II. Logan and Parman (2017a ) have challenged the notion that racial residential segregation was lower in the South using a newly designed measure of segregation for 1880 and 1940 that is based on the race of next-door neighbors within counties, as represented in the original census enumerators’ manuscripts. The Logan-Parman measure allows for the inclusion of rural areas in the computation of segregation scores. That a measure of segregation based on the likelihood of having neighbors of a different race produces a portrait of racial residential separation that differs from traditional segregation measures (which are based on comparing the population distributions within neighborhoods to the overall racial composition of a larger city or metropolitan area) is not surprising. The former offers a more “microlevel” perspective on segregation whereas the latter provides a more “macrolevel” description (see e.g., Logan and Martinez 2018 ). We focus on macrolevel segregation because of its well-established association with a wide variety of important life outcomes for blacks. Given the recency of their development, it is not yet clear what implications microlevel segregation has for employment, educational, health, and other outcomes. Exploring microlevel segregation therefore provides less definitive insight into the potential costs and benefits of the Great Migration than examining more macrolevel measures of segregation.
9 Given that we do not have information on preferences and in light of research showing that preferences for in-group neighbors are strongly determined by individual and neighborhood socioeconomic status and experiences or fears of discrimination ( Adelman 2005 ; Emerson et al. 2001 ; Krysan and Farley 2002 ; Krysan et al. 2009 ), we do not attend to the potentially unique role of preferences here.
10 The Minnesota Population Center and Ancestry.com (2012) provided the complete-count 1940 Census.
11 We did not extend our analysis to the 2001–2015 American Community Surveys because we believed this would exaggerate selection into the matched sample that occurs by requiring survival between 1940 and 2000. Longevity is positively associated with higher education outcomes ( Lleras-Muney 2005 ) and income ( Chetty et al. 2016 ). Given the age of our sample, the relationship between education, income, and mortality may lead to our estimating upper bounds for the benefits experienced by second-generation migrants.
12 About 0.5 percent of the total cases had nonmatching race responses in 1940 and 2000. Because this was not a sufficient number of cases to support a “both” racial category in the analysis, we excluded those cases.
13 We limit “northern stayers” to children for whom both of their parents were born in the North to avoid conflating them with children whose parents experienced a South-to-North migration during their lifetime. The “southern stayers” category, however, includes children with either parent born in the South. For more than 90 percent of southern stayers, both of their parents were born in the South, and excluding the small group of southern stayers who have one parent born in the non-South does not affect our results. We decide to include these individuals in our analyses to ensure that we do not miss any respondents who should be classified as southern stayers.
14 We measure occupational status using occupation scores provided by IPUMS and constructed using median income by occupation from the 1950 Census ( Sobek 1995 ).
15 The detailed regression results reported in table 2 indicate that metropolitan-level contextual characteristics, alone, are able to explain the original bivariate regional difference in dissimilarity indices shown in figure 2 .
16 As mentioned in the “ Background ” section, Collins and Margo (2000) found that segregation may not have been as consistently associated with worse outcomes for blacks in 1940 relative to 1980 and 1990. The universally high exposure of blacks to segregated metropolitan areas in 1940 may therefore not have been unequivocally disadvantageous for their outcomes because segregated black communities exhibited different population compositions in earlier decades relative to later decades ( Vigdor 2002 ). While this is an important point and illustrates that the segregation results for 1940 and 2000 cannot be directly compared, Collins and Margo (2000) still found that segregation was negatively associated with earnings in 1940 and the use of segregation as a tool by whites to isolate the black population illustrates its consistently important role in racial stratification throughout the twentieth century. In this sense, the universally high levels of segregation for blacks in 1940 is problematic.
17 Table 3 contains the full set of results from the regression analysis of both the dissimilarity and isolation indices in 2000. Figure 2 focuses on the patterns observed in the bivariate and fully specified multivariate models, while table 3 also includes the separate results obtained when only 1940 family characteristics are included and when both 1940 and 2000 control variables are considered.
18 We also considered the possibility of differential returns to education and income in 1940, but chose to concentrate on the relative ability of second-generation migrants to translate their own socioeconomic status into lower levels of exposure to residential segregation in 2000. The results of the 1940 analyses are available from the first-listed author upon request.
Over the course of the 20th century, more than seven million African Americans left homes in the South to resettle in northern and western states. Historians have long described this exodus as the Great Migration, great not just because of the numbers of people who moved but also because of the social and political consequences. Once a people of the South, Black Americans became increasingly part of the big cities of all regions and in those urban settings steadily gained political and cultural influence. The Great Migration was thus key to the struggles and accomplishments of the long civil rights movement.
This page introduces resources for exploring the Great Migration, including several sets of interactive maps and tables showing where people settled and where they came from decade by decade.
Migration slowed dramatically in the 1930s, then soared during World War II and the two decades following, a period sometimes called the Second Great Migration. After the 1960s, rates of migration began to decline noticeably and by the 1980s former southerners were among those looking for opportunities in the new economy of the South, now renamed the Sunbelt.
The chart at right shows estimates of the volume of migration out of the South during each decade. It is based on calculations using the census survival method reported in James Gregory, The Southern Diaspora: How the Great Migrations of Black and White Southerners Transformed America . Since the publication of that book, Leah Platt Bouston ( Competition in the Promised Land: Black Migrants in Northern Cities and Labor Markets ) refined the method and clarified data problems that complicate estimates for the 1960s and 1970s. Accordingly, the chart reports only loose estimates for those decades.
The image above is one of the maps and charts that we have developed to demonstrate the numbers of African American migrants leaving the South, the states and cities where they settled, and their states of origin for each decade 1900 to 2000. One map reveals decade-by-decade the number of southerners living in northern and western states. Select a state of origin and see where people went. Another map shows similar data for each metropolitan area where Black southerners settled. A third allows us to highlight a northern or western state and see which southern states contributed the most migrants. Or start with a southern state and see where its people went. Finally an interactive table provides the data behind these visualizations. Explore
This resource is amazing. The topic is relevant, the resources are rich, and the questions are intriguing. Teachers and students will benefit from this resource. Those who use this resource may consider adding/adapting this resource to facilitate rich collaborative work amongst students, offered supports for academic vocabulary, and dove deeper into suggestions for differentiation, the work would be even more robust. (This comment was crafted by Jerry Price, Josh Parker, Barbara Soots, Ryan Theodoriches, Leslie Heffernan, and Donetta Elsasser)
This source provides excellent information to help students engage in the the question of how Great the Great Migration is. Students work through four questions that help them develop an understanding that racism and discrimination follows African Americans when they leave the South, although life was probably better for most.
There are four formative performance tasks that build on rigor with each step. In the end, students develop a claim supported by evidence that explains why migrants moved North and how life was different from that in the South.
The technological interactivity is there for you to create. The lesson has four sources that can be delivered how you see fit as an instructor. The sources are primary sources including a report on lynching, a census, an oral history, and a letter.
Each task offers scaffolding opportunities to create lists, create chart using data, create original content using evidence, and lastly developing an original argument.
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Learning Domain: History
Standard: Integrate evidence from multiple relevant historical sources and interpretations into a reasoned argument about the past to create claims and counterclaims
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Learning Domain: Social Studies Skills
Standard: Integrate evidence from multiple relevant historical sources and interpretations into a reasoned argument about the past and its relationship to the present
Standard: Construct arguments using precise and knowledgeable claims, with evidence from multiple and reliable sources, while acknowledging counterclaims and evidentiary weaknesses
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The progression of people into and within the United States has had an essential impact on the nation, both intentionally and unintentionally. Progressions such as The Great Migration and the Second Great Migration are examples of movements that impacted the United States greatly. During these movements, African Americans migrated to flee racism and prejudice in the South, as well as to inquire jobs in industrial cities. They were unable to escape racism, but they were able to infuse their culture into American society. During the twentieth century, economic and political problems led to movements such as The Great Migration and The Second Great Migration which impacted the United States significantly. The Great Migration was the …show more content…
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During the Great Migration, African Americans began to build a new place for themselves in public life, actively confronting economic, political and social challenges and creating a new black urban culture that would exert enormous influence in the decades to come.
Throughout the history of the United States immigration has become apart of our country’s fabric which, began centuries ago. Only to become a hot topic in the US in recent years with its primary focus being illegal immigrants. Illegal immigration is when people enter a country without government permission. As of 2008 the Center for Immigration Studies estimated that there are 11 million illegal immigrants in the US which is down from 2007‘s 12.5 million people. Although the Center for Immigration Studies estimates are very different from other estimates that range from 7 to 20 million. While the Pew Hispanic Center estimated in March of 2009 there are 11.1 million illegal immigrants and that number is from March 2007’s peak of 12
In the late 1800s , America became the land of new opportunities and new beginnings and New York City became the first landmark for immigrants. New York City was home to Ellis Island, the area in which migrants were to be handed for freedom to enter the nation. Living in New York City gave work and availability to ports. In time the city gave the chance to outsider's to construct groups with individuals from their nation , they were classified as new and old settlers. Old outsiders included Germans, Irish and, English. The new outsiders incorporated those from Italy, Russia, Poland and Austria-Hungary. In 1875, the New York City populace was a little 1 million individuals contrasted with the 3,5 million it held when the new century
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The Great Migration was a massive movement of African Americans from the South to the North from 1863 to 1960. The largest spike in this migration occurred from about 1910 to 1920.
Migration in the United States, the exodus of more than six million black Americans out
From the early 1900s – 1920s the Great Black Migration occurred. In addition, the Great Migration occurred in the early 1900s and ended shortly after the Great War. The Great Black Migration was a time where blacks left the south to seek a better lifestyle in the Midwestern, Northern, and Eastern states. Blacks fled the South to seek better jobs, escape racism and discrimination, and to look for better schooling for their children. The Great Black Migration mostly occurred in the states of Illinois, Missouri, New York, and California. During the Great Migration, more than 100,000 blacks migrated to Harlem, New York. In Chicago and New York City, blacks were empowered by black-owned businesses, newspapers, and communities. Newspaper
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The migration of foreigners to the United States has been one of the most powerful forces shaping American history this was especially true between 1860 and 1920. (American A Narrative History, Pg. 827). When immigrants traveled to the new land it was an arduous journey. Arriving in large cities often without their families or understanding the language was difficult.
Immigration in the late 1800’s and early 1900’s is much different than today, especially of what country they are coming from. In the late 1800’s and early 1900’s most immigrants came from Europe, and a few came from Mexico and Cuba. In the late 1800s and early 1900’s, individuals in numerous parts of the world chose to leave their homes and move to the United States of America. Fleeing yield disappointment, get and work deficiencies, rising expenses, and starvation. Numerous immigrants went to the United States of America, since it was seen as the place that is known for financing open door. Others came looking for individual opportunity or alleviation from political and religious mistreatment. With trust in a brighter future, almost 12 million migrants touched base in the United States somewhere around 1870 and 1900. Amid the 1870s and 1880s, by far most of these individuals were from Germany, Ireland, and Britain - the main wellsprings of movement before the Common War. That would change definitely in
At the start of the twentieth century, America was still facing racial inequality post-Civil War and segregation of whites and blacks after the Reconstruction Era. With the blacks being fed up with their current conditions, they participated in the Great Migration, in which they moved from the South to the North for a better life filled with more opportunities; blacks were ready for real reform of American society. Realizing the seriousness of this
When most people think about immigration to the United States, they think of the U.S. as being the “land of opportunity,” where they will be able to make all of their dreams come true. For some people, immigration made their lives richer and more fulfilled. This however, was not always the case. A place that is supposed to be a “Golden Land” (Marcus 116) did not always welcome people with open arms. Even after people became legal citizens of the United States, often times the natural born Americans did not treat the immigrants as equals but rather as outsiders who were beneath them in some way. In some situations, people’s lives were made worse by coming to the “land of opportunity.” Often times people were living no better than they
During the mass immigration era of America, an abundant number of people traveled to the urban industrial society of the United States in aspiration to seek job opportunities and better lives than the ones they left behind. These groups included the Poles, Italians, Chinese, Mexicans, Japanese, East European Jews, and the African- Americans. However, one of these groups mentioned was distinctly different from the rest: the African-Americans. They were already American citizens, who migrated to the northern American cities to free themselves from segregation, oppression, and harsh conditions they experienced in the South and obtain equal rights and opportunities. Although the African-Americans'
Students will learn about the Great Migration through discussion, analyzing primary sources in cooperative groups, watching a TED Talk, and reading an excerpt of a secondary source.
To create awareness among students about the societal changes during World War I.
Kansas Standards for History, Government, and Social Studies • Standard #4 Societies experience continuity and change over time. • Standard #5 Relationships among people, places, ideas, and environments are dynamic. Advanced Placement US History Key Concepts 7.2 Innovations in communications and technology contributed to the growth of mass culture, while significant changes occurred in internal and international migration patterns. Concept Outline II. Economic pressures, global events, and political developments caused sharp variations in the numbers, sources, and experiences of both international and internal migrants. C. In a Great Migration during and after World War I, African Americans escaping segregation, racial violence, and limited economic opportunity in the South moved to the North and West, where they found new opportunities but still encountered discrimination.
Lakisha Odlum. The Great Migration. 2016. Retrieved from the Digital Public Library of America, http://dp.la/primary-source-sets/the-great-migration/teaching-guide. (Accessed July 18, 2018.) “The Great Migration and the Power of a Single Decision ~ Isabel Wilkerson.” YouTube, YouTube, 6 Apr. 2018, www.youtube.com/watch?v=n3qA8DNc2Ss. Wilkerson, Isabel. The Warmth of Other Suns: The Epic Story of America’s Great Migration. New York: Vintage Books, 2011.
“A negro family just arrived in Chicago from the rural South,” Digital Public Library of America, http:// dp.la/item/301a3b1ef3135e75f77478cccb7da403. “During World War I there was a great migration north by southern Negroes,” Digital Public Library of America, http://dp.la/item/202cd2eec8a07f914da3df05d75481b7. “Letters of Negro Migrants of 1916-1918.” The Journal of Negro History, July and October 1919. https://history.hanover.edu/courses/excerpts/260GMigration.html.
Block 1 Bell Work: With a table partner, students will compare and contrast the Jacob Lawrence painting and a photograph of an African-American family who just arrived in Chicago. Questions to consider when analyzing these images: 1. How are migrants dressed in both images? 2. How does does their attire reflect their attitudes about migrating to the North? 3. Both images are framed in such a way that the people fill the entire frame, what feeling or mood does this elicit in the viewer? 4. What are some the messages the artists convey by framing their works in such a way? Discuss answers in class.
Teacher led discussion of the Great Migration. Teachers should emphasize the role of World War I, which limited the supply of cheap immigrant labor; the rise of the industrial factory jobs in the North, which depended on cheap labor to function; agricultural difficulties in the South; and the difficulties of life in the Jim Crow South for African American families, such as discrimination, lynching, denial of access to political equality, and the lack of educational opportunities.
3. Document Analysis Activity “Letters of Negro Migrants of 1916-1918.” The Journal of Negro History, July and October 1919. https://history.hanover.edu/courses/excerpts/260GMigration.html Students will work in groups of two to analyze the nine letters using the HIPP method. In the HIPP method, students analyze the document for the historical context, intended audience, purpose, and pointof- view.
4. Watch “The Great Migration and the power of a single decision” Isabel Wilkerson TED Talk on YouTube. (17:55) https://www.youtube.com/watch?v=n3qA8DNc2Ss
5. Assignment Read the excerpt from The Warmth of Other Suns: The Epic Story of America’s Great Migration by Isabel Wilkerson (p. 3-15) and answer the guided reading questions.
Block 2 Students will write a timed, in-class long essay (LEQ). They will have 40 minutes to write this essay. Students will be graded based on the Advanced Placement Long Essay Question Rubric. Students will self-grade using the rubric before turning in their essays.
Great Migration LEQ Directions: In your response you should do the following. • Respond to the prompt with a historically defensible thesis or claim that establishes a line of reasoning. • Describe a broader historical context relevant to the prompt. • Support an argument in response to the prompt using specific and relevant examples of evidence. • Use historical reasoning (e.g., comparison, causation, continuity or change over time) to frame or structure an argument that addresses the prompt. • Use evidence to corroborate, qualify, or modify an argument that addresses the prompt. Prompt: Evaluate the extent to which World War I was the primary cause of the Great Migration of African Americans.
The Warmth of Other Suns by Isabel Wilkerson Guided Reading Questions 1. Account of Ida Mae Brandon Gladney Where did she live? When did she leave? Summarize her "leaving" story/account in 1 paragraph.
2. Account of George Swanson Starling Where did he live? When did he leave? Summarize his "leaving" story/account in 1 paragraph.
3. Account of Robert Joseph Pershing Foster Where did he live? When did he leave? Summarize his "leaving" story/account in 1 paragraph.
4. Each "leaving" occurs about 8 years later than the previous one. What similarities do you see between the accounts? What differences? (Continuity and Change Over Time)
5. When did this "silent pilgrimage" (the Great Migration) begin? When did it end?
6. How does the author describe/define the Great Migration? 7. During the Great Migration, how many people left the South? 8. Why does the author argue the Great Migration was a turning point in American History? Do you agree or not? Explain/defend your answer. 9. Where can we see the "imprint" of the Great Migration in urban life? 10. How did the black population of Chicago change because of the Great Migration? 11. What was the ritual of arrival that just about every migrant did? 12. What omission does the book The Warmth of Other Suns address? 13. What types of evidence did historian Isabel Wilkerson use to define/piece together the events of the Great Migration for the three accounts at the beginning of the excerpt? 14. What distortions have miscast the emigrants? 15. In the past 20 years, a different picture has emerged. Describe this new picture. 16. Why were the actions of the people in the Great Migration both "universal and distinctly American"?
Use AP US History LEQ Essay Scoring Guide
ANN ARBOR—When black Americans migrated out of the South in the 1930s and ’40s, their children benefited by leaps and bounds, according to a University of Michigan study using U.S. Census data.
Compared to a group that did not leave the South, the children of families who left the South graduated from high school at a rate 11 percent higher than their counterparts, made about $1,000 dollars more per year in 2017 dollars and were 11 percent less likely to be in poverty.
The study, which was published in the journal Demography, was the first to link parents’ 1940 data to their offspring through the U.S. Census. The study authors were U-M Institute for Social Research scientists Catherine Massey and J. Trent Alexander, in collaboration with Stewart Tolnay and Christine Leibbrand at the University of Washington.
At the turn of the 20th century, African-Americans in the South began leaving those states in droves in an event called the Great Migration. In 1900, less than 5 percent of southern-born blacks lived outside of the South. By the mid-20th century, about 20 percent of African-Americans lived outside of their region of birth.
“These parents had mixed experiences. They had higher incarceration rates, but also higher incomes and more economic opportunities,” said Massey, an assistant research scientist at the Population Studies Center. “Our question was how this benefit transmits to children.”
For this study, researchers divvied up the country into two parts: the South and the “non-South.” The South includes 17 southern states such as Florida, Alabama, Mississippi and the Carolinas, and the non-South the rest of the country, including states such as Wisconsin and California. Still, industrial cities such as Chicago, Pittsburgh, New York, Detroit and Philadelphia saw the lion’s share of these migrants.
In this research, Massey and Alexander identified migrants living with their children in 1940, and followed those children through to the long-form Census in 2000, when they were mostly retirement age.
Part of the children’s gains can be attributed to the ambition of their parents. People who were able to make a cross-country move had characteristics that make success more attainable: These parents in particular made more and had higher levels of education than the Southern stayers. Massey and Alexander needed to control for these factors.
The statistics—that children of southern migrants graduate at a rate 11 percent higher than children who stay in the South and had higher incomes—were after controlling for parental characteristics. Before this control, the migrants’ children were between 30 and 48 percent more likely to graduate high school.
“What’s really clear is that a lot of these benefits happened because these parents are self-selecting—they are from a higher portion of the income and education distribution,” Massey said. “But even after we controlled for a parent’s education, occupation and income, we’re still finding these large gains. That suggests that there may be something about the opportunities in the North that they were benefiting from.”
Being able to link parents’ data with their children gave the researchers a crucial look at the children’s gains. If they hadn’t been able to connect the generations, the researchers wouldn’t have been able to control for education and income factors.
“If we had just studied the children of movers, we might have concluded that the children of the Great Migration were extraordinarily successful,” said Alexander, who is a research professor at the Inter-university Consortium for Political and Social Research. “But knowing the parents were self-selecting and controlling for that allowed us to temper what would have been an extraordinary finding.”
Massey and Alexander hope that creating this set of data that links Census data will generate other compelling research. The data was made available from the Census Bureau via the Federal Statistical Research Data Centers and provided a new source of information for understanding population dynamics across the entire span of the 20th century.
“This is the first research that uses linked 1940 and 2000 Census data to study a population over time,” Alexander said. “I think this will be an important multipurpose data resource.”
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Using historical census microdata, we present a unique analysis of racial and gender disparities in destination selection and an exploration of hypotheses regarding tied migration in the historical context of the Great Migration. Black migrants were more likely to move to metropolitan areas and central cities throughout the period, while white migrants were more likely to locate in nonmetropolitan and farm destinations. Gender differences were largely dependent on marital status. Consistent with the "tied-migration" thesis, married women had destination outcomes that were similar to those of men, whereas single women had a greater propensity to reside in metropolitan locations where economic opportunities for women were more plentiful.
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There is a longstanding debate — for centuries in fact — as to whether you should consider only your national (or regional) interest, or whether you should think in cosmopolitan terms when evaluating policies with cross-national ramifications.
Some commentators, for instance, suggest that American immigration policy should be set to serve the interests of current American citizens only. Whether or not one agrees, I can understand where that argument is coming from.
But what if an American is evaluating a French decision to take in or exclude some potential Algerian migrants? You might think the French should take a French point of view, and that the Algerians should take an Algerian point of view. But is the American allowed to be cosmopolitan in his judgment? Even if he or she is otherwise a self-regarding nationalist on questions concerning America?
It seems to me Americans should in fact take the cosmopolitan perspective.
Alternatively, you might argue that there are degrees of relation. American culture, politics, and gdp are much closer to their French equivalents than to anything in Algeria. So perhaps the American can side with France after all.
But then I wonder about two things.
First, this scheme might count Algerians for less, but it doesn’t seem it counts them for zero . Maybe America and Algeria have “better rap music” is common, or some degree of religiosity in common, or other points of similarity.
Second, once you start playing this sliding scale game, why look only at the dimension of nation ? You also could classify people by their taste in music, how smart they are, and many other dimensions. I first and foremost might decide to identify with people on the grounds of their openness and their desire to travel. Or how about kindness and generosity as a standard?
As a result, the major moral lines will not cut across nations in any simple way, even if in the final analysis the French people count for more than do the Algerians.
While this is not exactly simple cosmopolitanism in the Benthamite sense, it is just as far from strict nationalism. Once you let partialism in the door, it seems like a tough slog to argue nationality is the only relevant moral fact for partial sentiments.
It is interesting to look at how people choose their friends. Most of us have many friends of the same nation, but that is largely for reasons for convenience. Unless perhaps I were living abroad, it would seem strange to be friends with someone because they were an American . But it is not strange to be friends with them because they are smart, have good taste in music, like to travel, and so on. So when it comes to our actual choices, nationality is just one fact of many, and it is (beyond the dimension of practicality) not an especially important fact for how we choose our partial commitments for our own lives.
So why should it be such a dominant factor for how we make moral decisions when it concerns other countries?
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After more than seven decades onstage, the gospel and soul great decided last year that it was time to retire. Then she realized she still had work to do.
By Grayson Haver Currin
Reporting from Chicago and Los Angeles
On a rainy April day in Chicago, Mavis Staples sat in the restaurant of the towering downtown Chicago building where she’s lived for the past four years. For two hours, she talked about the civil rights movement and faith. And finally, she mentioned her old flame Bob Dylan.
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“Oh, Bobby : He gotta keep on singing,” Staples said. “I could handle it more than him. I will call him and say, ‘Don’t retire, Bobby. You don’t know what you’re doing.’”
Staples speaks from experience: Late in the summer of 2023, soon after turning 84, she told her manager she was done. She’d been on the road for 76 years, ever since her father, Roebuck Staples, known as Pops, assembled a family band when she was 8. The Staple Singers became a gospel fulcrum of the civil rights movement and, later, a force for bending genres — mixing funk, rock and soul inside their spiritual mission, an all-American alchemy. The band’s mightiest singer and sole survivor since the death of her sister Yvonne in 2018 and brother, Pervis , in 2021, Mavis remained in high demand, a historical treasure commanding a thunderous contralto.
“Being an American and not believing in royalty, meeting her was the closest I’d ever felt,” said Jeff Tweedy of Wilco, who marveled at her while watching “ The Last Waltz ” decades before he produced a string of her poignant albums. “I felt the same way when I met Johnny Cash, like meeting a dollar bill or bald eagle.”
A seemingly indomitable extrovert, Staples had deeply resented being homebound during the height of the Covid-19 pandemic. So she returned to the road with gusto, playing more than 50 shows last summer. But in July, she missed the end of a moving walkway in Germany and fell on her face. Was this, she wondered, the life she wanted? She’d previously mentioned retirement, but now she insisted.
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IMAGES
VIDEO
COMMENTS
Indeed, in the 40 years since the migration ended, the proportion of the South that is African-American has remained unchanged at about 20 percent—far from the seismic impact of the Great Migration.
Boys outside of the Stateway Gardens Housing Project on the South Side of Chicago, May, 1973 (NAID 556163) The Great Migration was one of the largest movements of people in United States history. Approximately six million Black people moved from the American South to Northern, Midwestern, and Western states roughly from the 1910s until the 1970s. The driving force behind the mass movement was ...
The most serious was the Chicago Race Riot of 1919—it lasted 13 days and left 38 people dead, 537 injured and 1,000 Black families without homes.. Impact of the Great Migration. As a result of ...
Evidence from the Great Migration†. This paper shows that racial composition shocks during the Great Migration (1940-1970) reduced the gains from growing up in the northern United States for Black families and can explain 27 percent of the region's racial upward mobility gap today.
increasing the number of police officers and police expenditures per capita, in Great Migration cities. The increase may reflect a change in crime rates: beginning in the late 1960s, Great Migration destination CZs have persistently experienced higher urban murder rates. In contrast with public expenditures on police, I find no reductions in
This map shows the migrant streams of southern African Americans during the Great Migration from 1916 to 1930. (credit: "Great Migration" by Bill of Rights Institute/Flickr, CC BY 4.0) Chicago became so familiar to black southerners that they called it by the nickname "Chi.". The black-owned newspaper The Chicago Defender wrote ...
The period between 1910 and 1970 witnessed a massive movement of African-Americans from the United States' rural south to the urban north (Spencer, 1987). Historians estimate that more than 6 million African-Americans were involved in this great exodus. Get a custom Essay on The Great Migration Causes and Effects. 809 writers online.
Since 1988, the goal of The Great Migration Study Project has been to compile comprehensive genealogical and biographical accounts of the twenty thousand English men, women, and children who settled in New England between 1620 and 1640. The project's published works, containing thousands of sketches, are necessary resources for any ...
Great Migration, in U.S. history, the movement of millions of African Americans from rural communities in the South to urban areas in Northern states during the 20th century. In 1900 nearly eight million Black people—about 90 percent of all Black Americans—lived in the South. From 1916 to 1970, during the Great Migration, an estimated six ...
thesis Bartels advances. A little nuancing of her book's overall argument could conceivably make this problem go away. Perhaps, for instance, one ... Great Migration, the merging of communal and individualist impulses, and the changing mythic constructs about the first generation served to perpetu-
Explore the history and impact of the Great African-American Migration on the social and economic development of Virginia in this doctoral dissertation from William & Mary.
Great Migration Citation Asimakopoulos, Fani Fay. 2020. Migration, Skills-Biased Technical Change, and Human Capital ... Throughout the process of researching and writing this thesis, I bene ted from the company and encouragement of too many friends to fully list. Derek Lee and Hadley DeBello { thank you for your feedback, your delicious food ...
The Great Migration from the South and the rise of racial residential segregation strongly shaped the twentieth-century experience of African Americans. Yet, little attention has been devoted to how the two phenomena were linked, especially with respect to the individual experiences of the migrants. We address this gap by using novel data that ...
The Great Migration in Historical Perspective: New Dimensions of Race, Class, and Gender (Bloomington: Indiana University Press, 1991), 4-12. In the 1960s and 1970s, when historians first took an interest in the Great Migration, they drew upon that reading of a narrative of urban despair.
Explore the interactive graphics and maps that track the reverse migration. Black Migration History for Individual States 1850-2017. Historians refer to one sequence as the Great Migration, referring to the exodus of more than seven million people from the South to states in the North and West in the decades between 1910 and 1970.
The goal of this inquiry is for students to gain an informed, critical perspective on the Great Migration of African Americans from the South to the North and West from 1915-1970. By investigating the movement, including the injustice of Jim Crow in the South, and the racism migrants continued to face in the North and West, students will examine how the migration changed the social fabric of ...
Thesis Statements. During the Great Migration, African Americans began to build a new place for themselves in public life, actively confronting economic, political and social challenges and creating a new black urban culture that would exert enormous influence in the decades to come. ... The Great Migration was the mass movement of millions of ...
THE GREAT MIGRATION Fred Powledge Every now and then, something comes into view-a report from an obscure but sincere organization, a journal article, most likely a book, hardly ever a tele-vision program-that makes marvel-ously clear a point that was there all along but that hardly anybody grasped. This is what Nicholas Lemann has done in The
Read the excerpt from The Warmth of Other Suns: The Epic Story of America's Great Migration by. Isabel Wilkerson (p. 3-15) and answer the guided reading questions. Block 2. Students will write a timed, in-class long essay (LEQ). They will have 40 minutes to write this essay.
The economic legacy of the Great Migration. ANN ARBOR—When black Americans migrated out of the South in the 1930s and '40s, their children benefited by leaps and bounds, according to a University of Michigan study using U.S. Census data. Compared to a group that did not leave the South, the children of families who left the South graduated ...
Race, gender, and marriage: destination selection during the Great Migration Demography. 2005 May;42(2):215-41. doi: 10.1353/dem.2005.0019. Authors Katherine J ... Consistent with the "tied-migration" thesis, married women had destination outcomes that were similar to those of men, whereas single women had a greater propensity to reside in ...
This DBQ serves as a method of analyzing the first Great Migration focusing on the reasons people (specifically African Americans) left the rural south for the more industrialized northern cities. The purpose of this assignment is to have students analyze primary sources to formulate a hypothesis/point of view about the Great Migration.
Great Migration Thesis Statement - Free download as PDF File (.pdf), Text File (.txt) or read online for free. Writing a thesis on the Great Migration is a complex undertaking that requires extensive research and critical analysis. It involves synthesizing diverse historical sources like documents, academic papers, personal accounts, and demographic data to develop a comprehensive ...
He makes an oblique reference to the Great Migration of the 1900s in USA, during which approximately six million Black people migrated from the American South to the Northern, Western, and Midwestern states. Bittle's book is structured into three key sections. The first section focuses on three primary forces propelling climate displacement ...
There is a longstanding debate — for centuries in fact — as to whether you should consider only your national (or regional) interest, or whether you should think in cosmopolitan terms when evaluating policies with cross-national ramifications. Some commentators, for instance, suggest that American immigration policy should be set to serve the interests of current […]
Particle migration and coalescence dominated above an onset ... to be part of this supporting and dedicated group where I can discuss science and have a great time together. Shu Fen Tan helped me start my journey in the field of liquid cell TEM and passed ... The thesis is arranged as follows: In Chapter 2, I summarize the effect of temperature ...
A Mississippi native who came to Chicago amid the Great Migration and toiled in slaughterhouses and construction, Pops steadily committed his family band to the civil rights and peace movements of ...