PERSISTENT POVERTY ACROSS THE RURAL-URBAN CONTINUUM

Persistent poverty is overwhelmingly rural and is very geographically concentrated. We have redefined the USDA ERS persistent poverty classification to include metropolitan counties meeting the 20 percent or higher poor criterion and we extend the time period through the 2000 Census. With this updated definition, there are 382 counties that have had poverty rates of 20 percent or more in each decennial census between 1960 and 2000. These persistent poverty counties are overwhelmingly rural (95 percent) and disproportionately rural (16 percent of nonmetro counties versus 2 percent of metro). The local economic environment in persistent poverty counties is much less favorable than in the nation as a whole. Per capita income is lower and unemployment rates higher in persistent poverty counties. Employment is more concentrated in services, extractive, construction/maintenance, and production/transportation occupations. Residents of persistent poverty counties tend to have lower education levels, and persistent poverty counties generally have larger shares of minority populations. The number of persistent poverty counties reduced considerably during the 1990s, but the "leavers" were disproportionately metropolitan, making persistent poverty increasingly a rural problem. Persistent poverty is overwhelmingly rural and it is very concentrated geographically. In this paper, we examine these striking regularities in U.S. economic geography, seeking to understand the causes and dynamics of poverty across the rural urban continuum. We also consider how alternative characterizations of "persistent poverty" and "rural and urban" might deepen our understanding of poverty and place. The paper has four sections. In the first, we examine how poverty and persistent poverty vary across the Rural Urban Continuum Codes and Urban Influence Codes developed by the USDA Economic Research Service (ERS). We start with the very useful "persistent poverty" classification developed by ERS that defines nonmetropolitan counties as persistent poverty counties if the poverty rate is 20 percent or higher in each decennial census between 1960 and 1990.We redefine persistent poverty to include metropolitan counties meeting the 20 percent or more poor criterion and we extend the time period through the 2000 Census. We also examine where poverty is concentrated in the United States and how persistent poverty varies across the new Core Based Statistical Area definitions for counties, developed recently by the Office of Management and Budget. In the second section, we examine how the demographic characteristics of the population vary across the rural-urban spectrum, comparing persistent poverty county demographics with those of all counties. The third section examines the dynamics of poverty and place. We examine the location, rurality and demographics of counties that escaped persistent poverty statues between 1990 and 2000, and how those characteristics compare to counties that remained in persistent poverty. We then identify the new entrants into high poverty since 1960. In the fourth section, we consider implications of reconceptualizing both "persistent poverty" and "rural and urban diversity". First, we explore the "persistent poverty" county classification, and how alternative definitions of persistent poverty counties might alter the conclusions one reaches about the geography of persistent poverty. We do this by exploring how defining persistent poverty with a different base year such as 1970 or 1980 affects the number of "persistent poverty" counties. We then explore what happens to "persistent poverty" if we raise the poverty threshold to 30 and 40 percent in defining persistent poverty counties. We then examine how conclusions about rural and urban persistent poverty change if one looks at poverty persistence in individual households rather than counties. Using PSID data, this analysis examines rates of persistent household poverty by looking at how the percent of households who remain in poverty for all 5 years during the 1993-98 period varies across central metro county to remote rural county continuum (an aggregation of Beale codes). Finally, we briefly explore how conclusions about the geography of poverty change if one divides metropolitan areas into "central city" and "suburb", and nonmetropolitan areas into "adjacent" and "nonadjacent."Food Security and Poverty,

Spatial Variations in Factors Affecting Poverty

There is abundant research that focuses on the causes and consequences of poverty in rural areas, and on the factors that ameliorate rural poverty. While a comprehensive review of this literature is not possible in this space, we summarize the research on differences in poverty between rural and urban areas, and how factors that ameliorate poverty differ between rural and urban areas. We focus primarily on studies that are national in scale, and that looked specifically at these spatial differences and effects. Both rural people and rural places are disadvantaged relative to their urban counterparts. Although a larger portion of the poor population resides in urban areas, poverty rates are higher and more persistent in rural areas (Adams and Duncan 1992; Summers et al. 1993; Iceland 2003), and research suggests poverty rates increase as rural areas become increasingly remote (Miller and Weber 2003; Lobao and Schulman 1991;see figure 1). Fisher and Weber (2002) find that poverty rates are highest in remote rural counties and central cities, and that these areas are quite similar on other outcome measures.RUPRI Rural Poverty Research CenterIncludes bibliographical reference

Missouri Micropolitan Areas: A Demographic Profile

This brief examines how Missouri's recently defined micropolitan counties compare to traditional metropolitan and rural areas of the state. This comparison is done by using several demographic categories including: population trends, racial and educational characteristics of the residents of each area, and indices of poverty

Search Query Sea Change: Is it Time to Transform the Way We Teach Boolean?

Are searches that use Boolean operators better than natural language (phrase) searches? Librarians are led to believe this by common practice in reference and instruction; yet, a study of the efficacy of Boolean searches reveals a sea change, especially in first-year instruction. This poster will highlight results of a study, which compared simple Boolean search queries versus natural language searches in eight popular databases

The Boolean is Dead, Long Live the Boolean! Natural Language versus Boolean Searching in Introductory Undergraduate Instruction

Boolean logic can be a difficult concept for first-year, introductory students to grasp. This paper compares the results of Boolean and natural language searching across several databases with searches created from student research questions. Performance differences between databases varied. Overall, natural search language is at least as good as Boolean searching. With evidence that students struggle to grasp Boolean searching, and may not use it even after instruction, it could be left out of first-year instruction, freeing up valuable class time to focus on concepts such as question development and source evaluation. As the Framework for Information Literacy does not specifically address Boolean operators, the authors suggest it should have less prominence in first-year Information Literacy instruction

Material Hardship Among Families with Children

Graphic presentation addressing material hardships among American families. Data presented in charts, graphs, and maps.RUPRI Rural Poverty Research Cente

Wealth Building in Rural America: Potential in Human Diversity

Wealth Building in Rural America: Potential in Human Diversit

Transmission and Transport of Energy in the Western U.S. and Canada: A Law and Policy Road Map

This collection of short essays arose from the inaugural meeting of the Idaho Symposium on Energy in the West, which was held in November, 2014. The topic for this first Symposium was Transmission and Transport of Energy in the Western U.S. and Canada: A Law and Policy Road Map. The essays in this collection provide a notable introduction to the major energy issues facing the West today. Topics include: building a resilient legal architecture for western energy production; natural gas flaring; transmission planning for wind energy; utilities and rooftop solar; special considerations for western states and the Clean Power Plan; the Clean Power Plan\u27s implications for the western grid; siting renewable energy on public lands; and implications of utility reform in New York and Hawaii for the Northwest

Diagnostic criteria for identifying individuals at high risk of progression from mild or moderate to severe alcohol use disorder

IMPORTANCE: Current Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) (DSM-5) diagnoses of substance use disorders rely on criterion count-based approaches, disregarding severity grading indexed by individual criteria. OBJECTIVE: To examine correlates of alcohol use disorder (AUD) across count-based severity groups (ie, mild, moderate, mild-to-moderate, severe), identify specific diagnostic criteria indicative of greater severity, and evaluate whether specific criteria within mild-to-moderate AUD differentiate across relevant correlates and manifest in greater hazards of severe AUD development. DESIGN, SETTING, AND PARTICIPANTS: This cohort study involved 2 cohorts from the family-based Collaborative Study on the Genetics of Alcoholism (COGA) with 7 sites across the United States: cross-sectional (assessed 1991-2005) and longitudinal (assessed 2004-2019). Statistical analyses were conducted from December 2022 to June 2023. MAIN OUTCOMES AND MEASURES: Sociodemographic, alcohol-related, psychiatric comorbidity, brain electroencephalography (EEG), and AUD polygenic score measures as correlates of DSM-5 AUD levels (ie, mild, moderate, severe) and criterion severity-defined mild-to-moderate AUD diagnostic groups (ie, low-risk vs high-risk mild-to-moderate). RESULTS: A total of 13 110 individuals from the cross-sectional COGA cohort (mean [SD] age, 37.8 [14.2] years) and 2818 individuals from the longitudinal COGA cohort (mean baseline [SD] age, 16.1 [3.2] years) were included. Associations with alcohol-related, psychiatric, EEG, and AUD polygenic score measures reinforced the role of increasing criterion counts as indexing severity. Yet within mild-to-moderate AUD (2-5 criteria), the presence of specific high-risk criteria (eg, withdrawal) identified a group reporting heavier drinking and greater psychiatric comorbidity even after accounting for criterion count differences. In longitudinal analyses, prior mild-to-moderate AUD characterized by endorsement of at least 1 high-risk criterion was associated with more accelerated progression to severe AUD (adjusted hazard ratio [aHR], 11.62; 95% CI, 7.54-17.92) compared with prior mild-to-moderate AUD without endorsement of high-risk criteria (aHR, 5.64; 95% CI, 3.28-9.70), independent of criterion count. CONCLUSIONS AND RELEVANCE: In this cohort study of a combined 15 928 individuals, findings suggested that simple count-based AUD diagnostic approaches to estimating severe AUD vulnerability, which ignore heterogeneity among criteria, may be improved by emphasizing specific high-risk criteria. Such emphasis may allow better focus on individuals at the greatest risk and improve understanding of the development of AUD