U.S. Intercounty Migration in the 1990s: People and Income Move Down the Urban Hierarchy

Manson, Gary; Groop, Richard E.

doi:10.1080/00330124.2000.9628388

Cited by 8 publications

(17 citation statements)

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“…The IRS data are flow data, describing the levels of movement between counties and accounting for both origin and destination counties. These data have been used to study both inter‐ and intra‐regional mobility (Sturtevant & Jung, ; Henrie & Plane, ; Vias & Collins, ; Manson & Groop, .) However, the IRS migration data contain no households (aside from adjusted gross income) and exclude any movers who did not file a federal tax return, thus understating the number of young (e.g., recent college graduates) and poor movers (Vias & Collins, .…”

Section: Data and Analysismentioning

confidence: 99%

The New District of Columbia: What Population Growth and Demographic Change Mean for the City

Sturtevant

2014

Journal of Urban Affairs

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The District of Columbia was a magnet for new residents in the first part of the twentyfirst century. Drawn by good jobs, new condos, and burgeoning entertainment districts, the city attracted thousands of young professionals who might have otherwise settled in the region's suburbs. At the same time, some of the District's longer-term residents are leaving the city. The growing population provides a boon to the city, but is also leads to an increasing social, economic, and cultural divide. Between 2000 and 2010, the District of Columbia gained nearly 30,000 people. The 5.2% population growth in the last decade marks a turnaround for the city, which has lost residents in every decade since 1950. Population growth was fueled by an influx of white residents and an unprecedented loss of African Americans. This article explores the population and demographic trends in the District of Columbia between 2000 and 2010 by examining the socioeconomic characteristics of the city's in-migrants, out-migrants, and nonmovers to explore evidence of gentrification. Using microdata from the 2006-2010 American Community Survey, this research also uses logistic regression to analyze the factors associated with out-migration from the city and movement within the city.Washington, DC is experiencing an unprecedented pace of population growth and demographic change. According to the popular media, the city's population growth signifies rapid gentrification of historically African American neighborhoods (e.g., Moreno, 2007;Tavernise, 2011;Wax, 2011;DePillas, 2011). Gleaming new condominiums in the District's U Street corridor, upscale rental projects in Chinatown, and trendy bars and restaurants in the Atlas district all reflect investment in neighborhoods that had been considered distressed or in decline in the not too distant past (Farmer, 2011). Development patterns aside, the influx of new white residents has also been viewed as sufficient evidence of gentrification in the city (Fisher, 2011.) The population growth and demographic changes in the District of Columbia reflect a dramatic shift for the city that has seen five straight decades of population loss. The causes of those changes are varied and the consequences could be far-reaching. This research examines demographic trends in the District of Columbia in the second half of the last decade through the lenses of residential mobility and gentrification. I analyze the demographic and socioeconomic characteristics of migrants into and out of the District of Columbia, as well as the characteristics of non-migrants and movers within the city. In addition, I use multinomial regression analysis to model the relationship between household characteristics and the likelihood of moving within the city, to the city's suburbs, or out of the region altogether. A better understanding of the process of in-and out-migration, the characteristics of movers, and the destinations of households that left the city can shed light on the regional implications of population and demographic chan...

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Section: Data and Analysismentioning

confidence: 99%

The New District of Columbia: What Population Growth and Demographic Change Mean for the City

Sturtevant

2014

Journal of Urban Affairs

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“…Migration efficiency or migration effectiveness has been commonly used to analyze national and regional migration and population redistribution patterns and trends (Engels and Healy 1981; Galle and Williams 1972; Henrie and Plane 2008; Manson and Groop 2000; Plane 1984, 1999; Vias and Collins 2003; Voss, Hammer and Mier 2001). Four migration efficiency measures are used in this analysis: 1) migration efficiency, 2) income migration efficiency, 3) stream migration efficiency, and 4) stream income migration efficiency.…”

Section: Migration Efficiency Measuresmentioning

confidence: 99%

Are We Moving Back to the City? Examining Residential Mobility in the Washington, DC Metropolitan Area

Sturtevant

Jung

2011

Growth and Change

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This research assesses the extent to which there is evidence of population re-centralization or back to the city moves by tracking the historical trend of household and income mobility in the Washington, DC metropolitan area. County-to-county migration data and four migration efficiency measures are used to investigate net flows of households and income in the region. The results show a nascent tendency of back to the city movement; however, the redistribution of households and income in the metropolitan area is more complex. While the region's core may be starting to gain households and income, there are still significant flows into the region's most distant suburbs. The results of this research have implications for transportation, housing, and economic development policy making in Washington, DC and other regions. The study also offers a unique example of how to study household and income redistribution within U.S. metropolitan areas.g row_543 48..71

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“…However, there is plenty of empirical evidence of increasing income divergence as a result of migration, particularly in the last 20–30 years (Fallah, Partridge, and Olfert ; Ganong and Shoag ; Manson and Groop ; Nelson ; Ozgen, Nijkamp, and Poot ; Partridge ). In order to explain the numerous empirical findings that migration can, in certain places and over particular periods of time, increase regional income divergence we need to relax some of the assumptions of the spatial equilibrium model.…”

Section: Spatial Patterns Of Income Inequality and Migrationmentioning

confidence: 99%

“…Similar to some of the previous work on income migration, we use the combined U.S. Census Bureau/IRS state‐to‐state migration data set (Manson and Groop ; Plane ). These data are derived from tax returns filed in the U.S. and migration is estimated by comparing social security numbers and addresses of individual tax returns in two consecutive years.…”

Section: Patterns and Trends In Income Migrationmentioning

confidence: 99%

“…Income in the data set is defined as wages, salaries, and tips; interest; alimony; business income; pensions and annuities; rents and royalties; farm income; unemployment compensation; and social security benefits (IRS various years). Although it is correct that it is households that are moving and not their income per se , by comparing incomes of in‐, out‐, and non‐migrants at two points in time we can get some idea of trends in state aggregate personal and per capita incomes as a result of migration (see Manson and Groop ; Plane for more detail).…”

Section: Patterns and Trends In Income Migrationmentioning

confidence: 99%

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Income Migration and Income Convergence across U.S. States, 1995–2010

Shumway¹,

Otterstrom²

2015

Growth and Change

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In this paper we examine how internal migration redistributes earned income across U.S. states between 1995 and 2010. We examine interregional income flows by first describing the movement of earned income between U.S. states. Second, we examine the effect of income migration on spatial patterns of income inequality. The question we ask is, “does migration increase or decrease convergence income across U.S. States?” A primary contribution of this paper is that instead of using only 1 year of income migration data to explore these issues, we use yearly data from the first year the Internal Revenue Service (IRS) data started including income (1995/1996) up to the most current data available (2009/2010). Results indicate that income convergence/divergence across states varies by whether or not there is general economic expansion or contraction. Nevertheless, some high‐amenity states continually attract high‐income households.

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U.S. Intercounty Migration in the 1990s: People and Income Move Down the Urban Hierarchy

Cited by 8 publications

References 0 publications

The New District of Columbia: What Population Growth and Demographic Change Mean for the City

The New District of Columbia: What Population Growth and Demographic Change Mean for the City

Are We Moving Back to the City? Examining Residential Mobility in the Washington, DC Metropolitan Area

Income Migration and Income Convergence across U.S. States, 1995–2010

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