Since the Great Recession, US policy and advocacy groups have sought to better understand its effect on a group of especially vulnerable young adults who are not enrolled in school or training programs and not participating in the labor market, so called 'disconnected youth.' This article distinguishes between disconnected youth and unemployed youth and examines the spatial clustering of these two groups across counties in the US. The focus is to ascertain whether there are differences in underlying contextual factors among groups of counties that are mutually exclusive and spatially disparate (non-adjacent), comprising two types of spatial clusters ' high rates of disconnected youth and high rates of unemployed youth. Using restricted, household-level census data inside the Census Research Data Center (RDC) under special permission by the US Census Bureau, we were able to define these two groups using detailed household questionnaires that are not available to researchers outside the RDC. The geospatial patterns in the two types of clusters suggest that places with high concentrations of disconnected youth are distinctly different in terms of underlying characteristics from places with high concentrations of unemployed youth. These differences include, among other things, arrests for synthetic drug production, enclaves of poor in rural areas, persistent poverty in areas, educational attainment in the populace, children in poverty, persons without health insurance, the
social capital index, and elders who receive disability benefits. This article provides some preliminary evidence regarding the social forces underlying the two types of observed geospatial clusters and discusses how they differ.
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Income Packaging and Economic Disconnection: Do Sources of Support Differ from Other Low-Income Women?
December 2013
Working Paper Number:
CES-13-61
Income packaging, or piecing together cash and non-cash resources from a variety of sources, is a common financial survival strategy among low-income women. This strategy is particularly important for economically disconnected women, who lack both employment income and public cash assistance receipt. Using data from the confidential Census Bureau versions of the Survey of Income and Program Participation, this study compares the use of public and private supports between disconnected and connected low-income women, controlling for differences in state welfare rules and county unemployment rates. Findings from bivariate comparisons and multilevel logistic regressions indicate that disconnected women utilize public non-cash supports at similar rates to connected women, but rely more heavily on private sources. Conclusions focus on the policy implications for outreach and program development.
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Using Small-Area Estimation (SAE) to Estimate Prevalence of Child Health Outcomes at the Census Regional-, State-, and County-Levels
November 2022
Working Paper Number:
CES-22-48
In this study, we implement small-area estimation to assess the prevalence of child health outcomes at the county, state, and regional levels, using national survey data.
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The Decline of Volunteering in the United States: Is it the Economy?
June 2025
Working Paper Number:
CES-25-41
This article investigates the complex interactions between local and national economic contexts and volunteering behavior. We examine three dimensions of local economic context'economic disadvantage (e.g., the percentage of families living in poverty), income inequality, and economic growth (e.g., the change in median household income) and the impact of a national/global economic jolt'the Great Recession. Analysis of data from the Current Population Survey's (CPS) Volunteering Supplement (2002-2015) reveals. Individuals who live in places characterized by economic disadvantage and economic inequality are less likely to volunteer than individuals in more advantaged, equitable communities. The recession had a dampening effect on volunteering overall, but it had the largest dampening effect on individual volunteering in communities with above average rates of income equality and higher rates of economic growth. While individuals living in rural communities were more likely to volunteer than their urban counterparts before the recession, rural/urban differences disappear after the recession.
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Federal-Local Partnerships on Immigration Law Enforcement: Are the Policies Effective in Reducing Violent Victimization?
April 2023
Working Paper Number:
CES-23-18
Our understanding of how immigration enforcement impacts crime has been informed by data from the police crime statistics. This study complements existing research by using longitudinal multilevel data from the National Crime Victimization Survey (NCVS) for 2005-2014 to simultaneously assess the impact of the three predominant immigration policies that have been implemented in local communities. The results indicate that the activation of Secure Communities and 287(g) task force agreements significantly increased violent victimization risk among Latinos, whereas they showed no evident impact on victimization risk among non-Latino Whites and Blacks. The activation of 287(g) jail enforcement agreements and anti-detainer policies had no significant impact on violent victimization risk during the period.Contrary to their stated purpose of enhancing public safety, our results show that the Secure Communities program and 287(g) task force agreements did not reduce crime, but instead eroded security in American communities by increasing the likelihood that Latinos experienced violent victimization. These results support the Federal government's ending of 287(g) task force agreements and its more recent move to end the Secure Communities program. Additionally, the results of our study add to the evidence challenging claims that anti-detainer policies pose a threat to violence risk.
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Connected and Uncooperative: The Effects of Homogenous and Exclusive Social Networks on Survey Response Rates and Nonresponse Bias
January 2024
Working Paper Number:
CES-24-01
Social capital, the strength of people's friendship networks and community ties, has been hypothesized as an important determinant of survey participation. Investigating this hypothesis has been difficult given data constraints. In this paper, we provide insights by investigating how response rates and nonresponse bias in the American Community Survey are correlated with county-level social network data from Facebook. We find that areas of the United States where people have more exclusive and homogenous social networks have higher nonresponse bias and lower response rates. These results provide further evidence that the effects of social capital may not be simply a matter of whether people are socially isolated or not, but also what types of social connections people have and the sociodemographic heterogeneity of their social networks.
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RESIDENTIAL MOBILITY ACROSS LOCAL AREAS IN THE UNITED STATES AND THE GEOGRAPHIC DISTRIBUTION OF THE HEALTHY POPULATION
February 2014
Working Paper Number:
CES-14-14
Determining whether population dynamics provide competing explanations to place effects for observed geographic patterns of population health is critical for understanding health inequality. We focus on the working-age population where health disparities are greatest and analyze detailed data on residential mobility collected for the first time in the 2000 US census. Residential mobility over a 5-year period is frequent and selective, with some variation by race and gender. Even so, we find little evidence that mobility biases cross-sectional snapshots of local population health. Areas undergoing large or rapid population growth or decline may be exceptions. Overall, place of residence is an important health indicator; yet, the frequency of residential mobility raises questions of interpretation from etiological or policy perspectives, complicating simple understandings that residential exposures alone explain the association between place and health. Psychosocial stressors related to contingencies of social identity associated with being black, urban, or poor in the U.S. may also have adverse health impacts that track with structural location even with movement across residential areas.
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Poverty Estimates for Places in the United States
September 2005
Working Paper Number:
CES-05-12
This paper first describes some historical poverty trends, overall and for demographic groups and broad locations within the U.S. from an ongoing household survey, and then presents some specific information on poverty for localities by size, from the most recent decennial census (2000). Rural poverty exceeded urban poverty in 1969 and 1979, but urban poverty in 1999 was higher than rural poverty. Non-metropolitan area poverty exceeded metropolitan area poverty in each of the four censuses, but within each of those areas, rural poverty is now less than urban poverty. Within metropolitan areas, poverty is highest for those in central cities. For urbanized areas (50,000 or more population), the poverty rate is lower as the area gets larger, with the exception of the very largest-sized areas. This higher poverty for the largest places is accounted for entirely by the higher poverty rate for the central city or cities in those urban agglomerations, as the poverty rates for the parts of the urbanized areas not in the central place continue to fall as the area itself gets larger. Some of the critical relationships affecting the poverty rate of places appear to be the location of certain types of people - female householders, non-citizens, people of color, and college graduates.
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Finding Suburbia in the Census
June 2025
Working Paper Number:
CES-25-40
This study introduces a methodology that goes beyond the urban/rural dichotomy to classify areas into detailed settlement types: urban cores, suburbs, exurbs, outlying towns, and rural areas. Utilizing a database that provides housing unit estimates for census tracts as defined in 2010 for all decennial census years from 1940 to 2020, this research enables a longitudinal analysis of urban spatial expansion. By maintaining consistent geography across time, the methodology described in this paper emphasizes the era of development, as well as proximity to large urban centers. This broadly applicable methodology provides a framework for comparing the evolution of urban landscapes over a significant historical period, revealing trends in the transformation of territory from rural to urban, as well as associated suburbanization and exurban growth.
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Receipt of Public and Private Food Assistance Across the Rural-Urban Continuum Before and During the COVID-19 Pandemic: Analysis of Current Population Survey Data
August 2025
Working Paper Number:
CES-25-51
Background: The nutrition safety net in the United States is critical to supporting food security among households in need. Food assistance in the United States includes both government-funded food programs and private community-based providers who distribute food to in need households. The COVID-19 pandemic impacted experiences of food security and use of private and public food assistance resources. However, this may have differed for households residing in urban versus rural areas. We explored receipt of Supplemental Nutrition Assistance Program (SNAP) benefits or food from community-based emergency food providers across a detailed measure of the rural-urban continuum before and during the COVID-19 pandemic.
Methods: We linked restricted use Current Population Survey Food Security Supplement data to census-tract level United States Department of Agriculture Rural-Urban Commuting Area codes to estimate prevalence of self-reported SNAP participation and receipt of emergency food support across temporal (2015-2019 versus 2020-2021) and socio-spatial (urban, large rural city/town, small rural town, or isolated rural town/area) dimensions. We report prevalences as point estimates with 95% confidence intervals, all weighted for national representation.
Results:
The weighted prevalence of self-reported SNAP participation was 8.9% (8.7-9.2%) in 2015-2019 and 9.1% (8.5-9.5%) in 2020-2021 in urban areas, 11.4% (10.8-12.2%) in 2015-2019 and 11.6% (10.5-12.9%) in 2020-2021 in large rural towns/cities, 13.4% (12.3-14.6%) in 2015-2019 and 12.3% (10.5-14.5%) in 2020-2021 in small rural towns, and 9.7% (8.6-10.9%) in 2015-2019 and 10.9% (8.8-13.4% )in 2020-2021 isolated rural towns. The weighted prevalence of self-reported receipt of emergency food was 4.9% (4.8-5.1%) in 2015-2019 and 6.2% (5.8-6.5%) in 2020-2021 in urban areas, 6.8% (6.2-7.4%) in 2015-2019 and 7.6% (6.6-8.6%) in 2020-2021 in large rural towns/cities, 8.1% (7.3-9.1%) in 2015-2019 and 7.1% (5.7-8.8%) in 2020-2021 in small rural towns, and 6.8% (5.9-7.7%) in 2015-2019 and 8.5% (6.7-10.6%) in 2020-2021 isolated rural towns.
Conclusion: Households in rural communities use public and private food assistance at higher rates than urban areas, but there is variation across communities depending on the level of rurality.
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Mortality in a Multi-State Cohort of Former State Prisoners, 2010-2015
February 2022
Working Paper Number:
CES-22-06
Previous studies report that individuals who have been imprisoned have higher mortality rates than their demographic counterparts in the general population, particularly non-Hispanic white former prisoners. Most of these studies have been based on a single state's prison system, and the extent to which their findings can be generalized has not been established. In this study we explore the role that race/Hispanic origin, other demographic characteristics, and custodial/ criminal history factors have on post-release mortality, including on the timing of deaths. We also assess whether conditional release to community supervision or reimprisonment may explain the higher post-release mortality found among non-Hispanic whites. In the second part of the analysis, we estimate standardized mortality ratios (SMRs) by sex, age group, and race/Hispanic origin using as reference the U.S. general population. The data come from state prison releases from the Bureau of Justice Statistics' (BJS) National Corrections Reporting Program (NCRP). The NCRP records were linked to the Census Numident to identify deaths occurring within five years from prison release. We also linked NCRP records to previous decennial censuses and survey responses to obtain self-reported race and Hispanic origin if available. We found that non-Hispanic white former prisoners were more likely to die within five years after prison release and more likely to die in the initial weeks after release compared to racial minorities and Hispanics. Reimprisonment, age at release, and a history of multiple prison terms had a similar influence on the odds of dying across all race/Hispanic origin groups. Other factors, such as the type of release and the duration of the last term in prison, were associated with higher risks of mortality for some groups but not for others.
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