Evidence map›Paper›PMID 37230708›Full record

ArticleSocial science research2023

Geographic dispersion and racial disparities in homeownership among Puerto Ricans.

Chenoa A Flippen, Angel Ortiz-Siberon, Emilio A Parrado

Abstract read
In one paragraph

Article in Social science research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Chenoa A FlippenDepartment of Sociology, University of Pennsylvania, USA. Electronic address: chenoa@upenn.edu.
Angel Ortiz-SiberonWeitzman Institute, Community Health Center, Inc, USA.
Emilio A ParradoDepartment of Sociology, University of Pennsylvania, USA.

Funding

Population Science Research Center Development CoreR24HD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI SMITH, HERBERT L. · 2003 to 2017
$9.8M
Sci-Tech Core-Population Dynamics Research CenterP2CHD044964 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI EMILIO ALBERTO PARRADO · 2018 to 2026
$5.3M
NICHD NIH HHS P2C HD044964NICHD NIH HHS R24 HD044964
6 · The paper itself

Abstract

The U.S. mainland Puerto Rican population has experienced dramatic growth and geographic dispersion in recent decades. Once overwhelmingly concentrated in the Northeast, especially New York City, Puerto Rican populations have grown dramatically in newer destinations such as Orlando, Florida. While the implications of dispersion for status attainment have received significant scholarly attention for Latinos as a whole, variation across national origin groups are less well understood. Owing to their unique racial and socioeconomic composition and historical settlement patterns, the impact of dispersion on dimensions such as homeownership could be particularly important for Puerto Ricans, since it implies a dramatic change in housing and economic context. This paper draws on U.S. Census data to examine the impact of metropolitan context, including a typology of destination types that reflects dispersion patterns, on Puerto Rican homeownership. A central objective is evaluating how location shapes racial inequality within the group, as well as the homeownership gaps between Puerto Ricans and non-Latino White, non-Latino Black, and other Latino Americans. Results show that metropolitan context, including housing conditions, residential segregation, and type of co-ethnic community, helps explain inequality among Puerto Ricans and relative to other groups. Thus, dispersion not only boosts Puerto Rican homeownership overall, it also contributes to narrowing inequality between Puerto Ricans and others, and racial inequality among Puerto Ricans.

Indexed as

Hispanic or LatinoHousingCensusesHumansNew York CityRacial GroupsUnited StatesHomeownershipNew destinationsPuerto RicanRacial and ethnic inequality

Identifiers

PMID37230708
PMCPMC10331792

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.