Patterns of Multidimensional Poverty in the United States
Bibliographic Data
| ID | 3776016 |
|---|---|
| Authors | David C Folch (0000-0002-8167-1118, Northern Arizona University), Matthew Laird (0000-0002-3598-0024, Florida State University) |
| Year | 2024 |
| Volume | 114 |
| Issue | 2 |
| Pages | 387-407 |
| Publication date | 2024-02-07 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Annals of the American Association of Geographers (JOURNAL) |
| Journal identifiers | ISSN: 2469-4452 • E-ISSN: 2469-4460 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/24694452.2023.2265984 |
| OpenAlex | W4388406721 |
| Language | EN |
| Citations received | 3 |
| References cited | 43 |
The accurate accounting of where and for whom deprivations occur is fundamental to addressing poverty. In the United States, the official poverty measure considers only a person’s income, although poverty is increasingly understood internationally as a set of multiple, interlinked deprivations. This article introduces a decomposable multidimensional poverty (MDP) measure that addresses these shortcomings by using thirteen American Community Survey microdata indicators to identify education, health, housing, and economic security deprivations for individuals. In 2017, the national poverty rate was 13.7 percent when measured using MDP and 13.1 percent using official poverty. Although similar at the national scale, Hispanic, Asian, and older persons had higher poverty rates using the multidimensional measure, whereas Black and young persons had higher rates when using official poverty. MDP tended to be higher than official poverty in dense urban areas, whereas official poverty tended to be higher in rural areas. Further, MDP was a stronger correlate with COVID-19 death rates than official poverty through the first three waves of the pandemic. The design of MDP recognizes that individuals can experience poverty in different ways and provides a more holistic view of people and places
Basic needs · Census · Culture of poverty · Demographic economics · Development economics · Economic growth · Economics · Extreme poverty · Geography · Measuring poverty · Political science · Population · Poverty · Poverty rate · Sociology · Demography · Health disparities and outcomes · Income, Poverty, and Inequality · Urban, Neighborhood, and Segregation Studies
Multidimensional Poverty Measurement and Analysis
Spreading of Covid-19
Evaluating social vulnerability indicators
Health Insurance Coverage and Health — What the Recent Evidence Tells Us
Offline
Housing Cost Burden, Material Hardship, and Well-Being
Mapping the two levels of digital divide
Measuring Poverty
Can Anyone Hear Us
Counting and multidimensional poverty measurement
Income and Beyond
The Financial Vulnerability of People with Disabilities
Underemployment in America
Assessment of the Distribution of Toxic Release Inventory Facilities in Metropolitan Charleston
Spatial Variation in the Quality of American Community Survey Estimates
Income Poverty and Multiple Deprivations in a High‐Income Country
More Likely to Be Poor Whatever the Measure
Trouble in the Tails? What We Know about Earnings Nonresponse 30 Years after Lillard, Smith, and Welch
Measuring Unemployment
Studying Neighborhoods Using Uncertain Data from the American Community Survey
Social Vulnerability to Environmental Hazards
Measuring Multiple Deprivation at the Small-Area Level
Resources, Deprivation and the Measurement of Poverty
The estimation of neighborhood effects in the social sciences
Multidimensional poverty
Measurement and Determinants of Multidimensional Poverty
Multi-Dimensional Deprivation in the U.S
Multidimensional Poverty in Nicaragua
The Counting-Based Measurement of Multidimensional Poverty
| Unique citing works | 3 |
|---|---|
| Citations per year | 3 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |