Social Disorganization Theory and the Contextual Nature of Crime in Nonmetropolitan Counties*

Abstract This research explores violent and property crime rates in nonmetropolitan counties. It is argued that crime rates are lower in these counties because of higher levels of social integration. We test the hypothesis that predictors of crime from social disorganization theory exert different effects on violent and property crimes at different levels of population change in nonmetropolitan counties. We use a spatial lag regression model to predict the 1989–1991 average violent and property crime rates for these counties, taken from the Uniform Crime Reports (UCR). The results show that a factor‐analyzed index of resource disadvantage (poverty rate, income inequality, unemployment, percent female‐headed households) has different effects on both violent and property crime at different levels of population change in nonmetropolitan counties. Contrary to expectations, we find that resource disadvantage exerts a greater positive effect on both violent and property crimes in nonmetropolitan counties that lost population between 1980 and 1990. Implications for theory and research are discussed.     

SIZE MATTERS:

Previous research explaining macrolevel crime patterns has generally been limited in focus to urban communities. Further, the bulk of this research has narrowly investigated links between socioeconomic deprivation, and to a lesser extent labor market characteristics, and crime rates. Taken together, these two foci reveal important limitations in extant research. First, few studies have examined whether levels of socioeconomic disadvantage impact crime rates in nonmetropolitan settings, despite the fact that some rural communities have high levels of socioeconomic disadvantage and serious crime problems. Second, research on labor markets and crime has assumed that manufacturing industries are uniformly good for communities. Yet an emerging body of research suggests that the size of local manufacturing establishments may have important implications for community socioeconomic well-being, organization, and social control. Drawing from recent research documenting the positive impact small manufacturing firms have on communities, we expect a strong presence of small firms to be associated with low crime rates in nonmetropolitan areas. Moreover, our conceptual framework suggests that the presence of small manufacturing will temper the criminogenic effects socioeconomic disadvantage has on crime rates. Based on data from 1,731 nonmetropolitan counties, our findings lend strong support to these expectations. The implications of these findings for theory and research on aggregate crime rates are discussed.     

CONCENTRATED POVERTY, RACE, AND HOMICIDE

Research on the link between levels of poverty and homicide in urban areas has persistently reported the existence of a relationship for whites but not for blacks. This is despite the fact that most analysts expect that the higher levels of urban black homicide are due in part to the higher levels of urban black poverty. The present research introduces a more meaningful, spatially based measure of concentrated poverty and argues that the effect of concentrated poverty on homicide rates should be the same for both racial groups. The hypotheses are tested with race-disaggregated data for a sample of central cities circa 1990. The results suggest that, when poverty is measured as a linear spatially based phenomenon, in is a more important determinat of race-specific homicide rates than overall city levels of disadvantage and that the concentration of poverty increases both black and white homicide rather equally.     

Migration and the Spatial Concentration of Poverty1

Current Population Survey data are used to estimate the effects of migration of the poor and nonpoor on the spatial concentration of poverty among five categories of counties defined by county poverty rates and, separately, among nonmetropolitan high-poverty areas, central city high-poverty areas, and other areas. During the 1981–1984 period studied, migration patterns of both the poor and nonpoor consistently reinforced pre-existing poverty concentrations. High migration rates of the poor into and out of high poverty counties suggests an equilibrium condition. Implications for theory, research, and policy are discussed.     

Commuting and the rural-urban hierarchy

The purpose of this paper is to consider the relation between commuting and the settlement structure, with particular attention to rural and nonmetropolitan areas. I examined commuting flows between metropolitan central cities, other metropolitan areas, nonmetropolitan places with more than 10,000 people, those with 2500–10000 people, and other rural areas. Despite the deconcentration of population, industry and trade that was especially marked in the 1970s, commuting in 1980 was predominantly toward larger places in the ruralurban hierarchy, and particularly from rural areas and the other metropolitan category to cities. Overall levels of commuting were high, and most were within either nonmetropolitan or metropolitan areas. Smaller nonmetropolitan places particularly had high proportions of both in- and out-commuters. Differences in commuting flows by gender, socioeconomic status and industry were small, but generally in the directions expected on the basis of prior research. The findings reveal a high degree of work-residence interdependence among settlement units in nonmetropolitan America, with social and economic differences in commuting flows representing an important aspect of community structure.     

Working Poverty across the Metro‐Nonmetro Divide: A Quarter Century in Perspective, 1979–2003

Researchers are increasingly recognizing space as a key axis of inequality. Scholars concerned with spatial inequality have called for special attention to issues of comparative advantage and disadvantage across space as well as the consideration of the subnational scale. This study draws on these ideas by examining the relationship between work and poverty in the United States with an explicit comparative focus on metropolitan (metro) and nonmetropolitan (nonmetro) areas. Moreover, this study joins space with its counterpart time by exploring how this relationship has changed over the last quarter century. Using data from the March Current Population Survey, the results show that working poverty persistently had a disproportionate impact on nonmetro families between 1979 and 2003. However, the results also show a trend of residential convergence, as working poverty in metro areas has climbed toward the levels experienced in nonmetro areas. Logistic‐regression models exploring the effects of residence, family labor supply, and period confirm that labor supply has consistently provided nonmetro families with less protection from poverty than their metro counterparts, but also show that this disadvantage has waned in recent years. The findings underscore the need for policies that support those working on the economic margins and recognize the variable opportunity costs of employment across the rural‐urban continuum.     

Changing Economic Opportunities,Family Structure,and Poverty in Rural Areas1

Abstract Instrustrial restructuring in the 1980s ushered in a new pattern of growing economic diversity over geographic space. The objective of this study is to examine the extent and etiology of changing spatial inequality between and within metropolitan (metro) and nonmetropolitan (nonmetro) areas, as measured by increasing or decreasing county poverty rates. Results based on data from the 1980 and 1990 census summary tape files suggest several conclusions. First, poverty rates increased more rapidly in nonmetro than metro counties during the 1980s; historical patterns of metro-nonmetro economic convergence slowed over the past decade. Second, poverty rates tended to decline in nonmetro counties with traditionally high rates of poverty, thus providing counter-evidence to arguments suggesting that the gap between traditionally poor and nonpoor nonmetro counties has widened. Third, spatial differences in poverty rates and relative increases in county poverty rates over the 1980s were most strongly associated with women's employment and headship status. The results raise questions about the extent to which traditional rural economic development strategies address the potentially deleterious economic effects of rising percentages of poor female-headed families.     

Residence and Income Inequality: Effects on Mortality Among U.S. Counties

Abstract Despite lower average incomes, greater percentages living in poverty, lower levels of health insurance, less preventive health care, and poorer health status, nonmetropolitan residents have been found to experience lower mortality than their metropolitan counterparts. Several pathways through which residence influences mortality have been proposed. The objective of this study is to examine the effects of income inequality on residential differentials in mortality. Using data from the Compressed Mortality File for counties in the coterminous United States for 1990, we estimate weighted least squares models of total mortality for 3,067 counties, and separately for metropolitan and nonmetropolitan counties. Mortality is lower in nonmetropolitan counties than in metropolitan counties, once rates are standardized for age, sex, and race. Moreover, income inequality exerts stronger effects in nonmetro counties, an effect that persists when per capita income, median household size, and racial composition are controlled. The percentage of the population that is black exerts an independent effect on mortality in both metro and non‐metro counties.     

Minority Poverty in Nonmetropolitan Texas*

Abstract Despite a high prevalence of poverty among minorities in nonmetropolitan areas, research and policy concerns regarding poverty have continued focusing on metropolitan minorities. This study uses a model integrating individual, household, and structural factors to examine poverty among Latinos, blacks, and Anglos in nonmetropolitan and, for comparative purposes, metropolitan areas, using data from the 1985 Special Texas Census TDHS 1987. The findings show that minorities in nonmetropolitan areas tend to have the highest poverty rates. In addition, consistent as well as divergent patterns exist among the six ethnic-resident groups with respect to the relationships among the various individual, household, and structural factors and poverty.     

Suburban Sprawl,Regional Diffusion,and the Fate of Small Retailers in a Large Retail Environment, 1977–1996

Abstract

Research on the decline of public life in the United States has largely overlooked the role of Main Street retailers that provide public spaces for the maintenance of informal social ties. A central factor shaping the viability of small retailers is the development of big box chain stores that offer one-stop shopping and price out smaller competitors. Although prior studies have considered the transition from small to large retailers as a national phenomenon, arguing for the importance of place effects, we document the spatial variation in this process for nonmetropolitan counties in the United States. We hypothesize that the economic downturns in agriculture and manufacturing during the 1980s, combined with suburban sprawl into nonmetropolitan counties, facilitated the decline of small retailing in specific locales. Employing data from the 1977–1996 U.S. County Business Patterns, we test our hypotheses concerning the spatial variability in the decline of small retailing. Our results point to a marked decline in the number of establishments and employment in selected retail industries for nonmetropolitan counties near metropolitan areas in the South, Midwest, and West. These findings highlight the importance of considering local business enterprises as an important dimension of public life and local leadership in community affairs. We conclude our study by outlining the social consequences of the decline of small retail activity and suggest directions for future research.     

POVERTY,PRICES, AND PLACE: HOW SENSITIVE IS THE SPATIAL DISTRIBUTION OF POVERTY TO COST OF LIVING ADJUSTMENTS?

This article examines how accounting for cost-of-living differences across metropolitan and nonmetropolitan areas affects measured rates of poverty. The spatial price index used is based on the Fair Market Rent data and was developed by the Census Bureau for use in its experimental poverty research program. Following U.S. federal definitions, poverty in nonmetro areas has been consistently higher than it has been in metro areas. Using the Fair Market Rent index to adjust for differences in cost of living results in a complete reversal of nonmetro-metro rankings in terms of prevalence, depth, and severity of poverty for every year examined (1991 to 2002). (JEL I32 , R1 , C81 )     

Blind Faith in the Free Market: Urban Poverty, Residential Segregation, and Federal Housing Retrenchment, 1970–1995

In recent years, research on poverty and segregation has been organized within a dominant discourse that centers on the relative salience of racial discrimination or macroeconomic change as a determinant of concentrated minority poverty. In contrast, little sociological research has focused on federal housing policies and programs as important factors shaping racial patterns of poverty and residential segregation in U.S. metropolitan areas. Drawing upon census data, public documents, housing reports, and interviews with local residents, I examine how federal and local housing initiatives in the 1980s and 1990s have interacted with the shift to a service-oriented economy to reinforce racial residential segregation and exacerbate urban poverty in Kansas City. I find that persistent racial residential segregation, including minority poverty concentration and the spatial isolation of inner-city neighborhoods, is due to post-1970 changes in the operation of the metropolitan housing market and retrenchment in federal and local housing policy. Rather than viewing racial discrimination and macroeconomic change as disconnected and separate "variables," I focus on the interconnectedness and mutually reinforcing character of both factors. Such an emphasis moves beyond separate-variables approaches and analyses to identify how concentrated minority poverty is sustained not only by racial discrimination and large-scale macroeconomic and demographic changes, but also by the market-centered orientation of federal housing programs and policies.     

The Impact of Migration on Poverty Concentrations in the United States, 1995–2000

Poverty is frequently conceptualized as an attribute of either people or places. Yet residential movement of poor people can redistribute poverty across places, affecting and reshaping the spatial concentration of economic disadvantage. In this article, we utilize 1995 to 2000 county‐to‐county migration data from the 2000 United States decennial census to explore how differential migration rates of the poor and nonpoor affect local incidence of poverty, and how migration reconfigures poverty rates across metropolitan, micropolitan, and noncore counties. We further examine the impact of differential migration rates on African American and Latino poverty rates, two groups that have experienced higher than average poverty rates and have a sizable presence in rural areas. Our analysis indicates that during the 1990s the poor moved at rates equal to or greater than the nonpoor, and that, especially in micropolitan counties, this movement tended to deepen existing poverty concentrations. Both African American and Latino migration patterns tended to reinforce existing poverty concentrations, a result similar to that of the population as a whole, although the migration patterns of both groups more severely exacerbated poverty in high‐poverty noncore counties.     

Local Government Fiscal Burden in Nonmetropolitan America1

Rising fiscal pressure on local governments in rural areas of the United States is documented in this study. The level of fiscal burden on taxpayers to support local governments in nonmetropolitan areas is found to be higher than that in metropolitan areas between 1977 and 1987. Using a model from the urban fiscal literature, the level of fiscal burden in nonmetropolitan areas is found to be influenced by a combination of demographic, socioeconomic, intergovernmental, and historical factors. Intergovernmental revenue transfers from the state and federal government play a critical role in determining the level of fiscal burden rural taxpayers bear. These findings have implications for rural economic development and for understanding how rural areas are influenced by the larger society.     

Factors Associated with the Development of Nonmetropolitan Growth Nodes in Producer Services Industries, 1980–1990*

Abstract Over the 1980–1990 period, employment in producer services industries in the nonmetropolitan United States increased substantially. This growth resulted in the development of nonmetropolitan growth nodes in producer services industries. A growth node refers to a nonmetropolitan area that contains a greater than average concentration of employment in a particular industry sector relative to other nonmetropolitan areas. Moreover, this industry concentration not only increases over time, but also represents an important source of employment growth within the area. With nonmetropolitan counties as the spatial unit of analysis, 317 growth nodes in producer services industries are identified for the 1980–1990 period. Access to workers with clerical and administrative support skills, access to highly educated workers, higher earnings per employed worker, access to recreational amenities, and proximity to metropolitan areas were associated with the development of nonmetropolitan growth nodes in producer services industries during this period.     

Child Poverty and the Changing Rural Family1

Abstract Our main objective is to give demographic perspective to changes since 1960 in the comparative economic circumstances of non-metropolitan and metropolitan children. Specifically, we examine absolute and relative poverty rates using child records from the 1960, 1970, and 1980 Public Use Microdata Samples and from the 1990 March annual demographic file of the Current Population Survey. Results reveal that more than one-in-five nonmetropolitan children today are poor, an increasing proportion are deeply impoverished, and a growing share are living in families with incomes lagging standards typical of the average American family. Changes in family structure accounted for roughly 60 percent of the increase in nonmetropolitan child poverty during the 1980s. Positive economic effects associated with increasing female employment, rising education levels, and declining family size in nonmetropolitan areas were more than offset by the deleterious effects of changing family structure. And the persistently higher rates of nonmetropolitan than metropolitan child poverty cannot be explained away by compositional differences in parental employment patterns, educational levels, or family size. Our results suggest that recent changes in family formation and structure cannot be disassociated from the changing economic welfare of children, especially for those living in nonmetropolitan America.     

Moving Up in Rural America: Economic Attainment of Nonmetro Latino Immigrants

Rapid Hispanic population growth represents a pronounced demographic transformation in many nonmetropolitan counties, particularly since 1990. Its considerable public policy implications stem largely from high proportions of new foreign‐born residents. Despite the pressing need for information on new immigrants in nonmetro counties and a bourgeoning scholarship on new rural destinations, few quantitative analyses have measured systematically the social and economic well‐being of Latino immigrants. This study analyzes the importance of place for economic well‐being, an important public policy issue related to rural Hispanic population growth. We consider four measures of economic mobility: full‐time, year‐round employment; home ownership; poverty status; and income exceeding the median national income. We conduct this analysis for 2000 and 2006–2007 to capture two salient periods of nonmetro Hispanic population growth, using a typology that distinguishes among nonmetropolitan areas by the categories of “traditional” immigrant destinations concentrated in the Southwest and Northwest, “new” immigrant destinations to capture recent and rapid Hispanic population growth in the Midwest and Southeast, and “all other” rural destinations as a reference category representing more typical nonmetro population trends. We also compare our results to those for metropolitan destinations. We find that place type matters little for stable employment but more so for wealth accumulation and income security and mobility. Compared with urban Latino immigrants, rural Latino immigrants exhibit higher rates of homeownership as well as greater likelihoods of falling into poverty and lower likelihoods of earning a measure of U.S. median income. From 2000 to 2006–2007, rural‐urban differences deteriorated slightly in favor of urban areas. We conclude by discussing implications of these findings and those of addressing rural immigrant economic well‐being more generally.     

Social Capital and Human Mortality: Explaining the Rural Paradox with County‐Level Mortality Data

The “rural paradox” refers to standardized mortality rates in rural areas that are unexpectedly low in view of well‐known economic and infrastructural disadvantages there. We explore this paradox by incorporating social capital, a promising explanatory factor that has seldom been incorporated into residential mortality research. We do so while being attentive to spatial dependence, a statistical problem often ignored in mortality research. Analyzing data for counties in the contiguous United States, we find that: (1) the rural paradox is confirmed with both metro‐nonmetro and rural‐urban continuum codes, (2) social capital significantly reduces the impacts of residence on mortality after controlling for race and ethnicity and socioeconomic covariates, (3) this attenuation is greater when a spatial perspective is imposed on the analysis, (4) social capital is negatively associated with mortality at the county level, and (5) spatial dependence is strongly in evidence. A spatial approach is necessary in county‐level analyses such as ours to yield unbiased estimates and optimal model fit.     

‘Ain't nothin' here in Buffalo’: Residents' perceptions about living in a racially isolated,high-poverty neighborhood

Research documents how spatial location in American metropolitan areas influences individuals' and families' life chances due to differential access to opportunity. Racial residential segregation and concentrated poverty interact to create an especially vulnerable population within American cities. Less research has been performed about the detailed perceptions of residents who live in spatially isolated neighborhoods with high levels of poverty. Using in-depth interviews in a Buffalo, New York, neighborhood, we develop a better understanding of how geographic isolation influences individuals' attitudes about and perceptions of their lives. Respondents discuss subjects ranging from transportation to employment and outline the ways in which concentrated disadvantage impacts their daily lives.     

Rural gentrification and linked migration in the United States

Although gentrification is a process commonly associated with urban landscapes, rural areas in advanced economies have also experienced gentrification over the past two decades. Largely based on case study approaches, the Rural Studies literature describes transformations in the housing market, changed cultural attitudes toward the environment, political conflicts surrounding land-use planning, and heightened class polarization as outcomes of rural gentrification. The analysis in this paper extends our understandings of rural gentrification in two fundamental ways. First, drawing on US census data from 1990 and 2000, the paper systematically examines gentrification in nonmetropolitan counties across the United States and develops a methodology for identifying areas with similarly strong evidence of gentrification. The second section of the analysis compares the geographic distribution and socioeconomic change in gentrifying counties with the rest of nonmetropolitan America emphasizing the changes in the baby boomer and Latino populations. In so doing, the analysis opens up new possibilities for comparative analysis of gentrification both between and within countries, connects our understandings of rural gentrification to other processes of globalization playing out within rural space, and argues for work on rural gentrification to more explicitly integrate questions surrounding race and ethnicity alongside questions of class.