National Equity Atlas

National Equity Atlas
Name	National Equity Atlas
Type	Research project
Founded	2013
Founder	PolicyLink; University of Southern California Equity Research Institute
Headquarters	Oakland, California
Focus	Racial equity, economic inclusion, demographic data

National Equity Atlas The National Equity Atlas is a data and policy resource created to provide analysis on racial equity, unemployment, income inequality, urban planning, and demographic change across the United States. It supplies interactive tools, maps, and downloadable datasets to inform advocates, policymakers, scholars, and philanthropies including Ford Foundation, W.K. Kellogg Foundation, and municipal planning departments. The Atlas synthesizes data from federal, state, and local sources to track disparities and progress in metropolitan regions such as Los Angeles, New York City, Chicago, and Miami.

Overview

The Atlas offers indicators on employment, wages, education, housing, and demographic trends with regional and neighborhood granularity that serve stakeholders like PolicyLink, the University of Southern California, the Urban Institute, Brookings Institution, and the Economic Policy Institute. It presents dashboards used by city governments ([example: San Francisco Office of Economic and Workforce Development]), regional planning agencies such as the Metropolitan Transportation Commission (San Francisco Bay Area), and advocacy groups like National Employment Law Project and Right to the City Alliance to guide equitable development and anti-displacement strategies. The platform cross-references data from the U.S. Census Bureau, American Community Survey, Bureau of Labor Statistics, and other federal datasets to produce metrics for counties, metropolitan statistical areas like Los Angeles-Long Beach-Anaheim Metropolitan Statistical Area, and school districts such as Chicago Public Schools.

History and Development

The Atlas emerged from a collaboration between PolicyLink and the University of Southern California Equity Research Institute around 2013, following growing interest from foundations including The Rockefeller Foundation and William and Flora Hewlett Foundation in evidence-based racial equity strategies. Early pilots were informed by regional initiatives such as Greater Boston’s Metropolitan Area Planning Council studies and municipal reports from Oakland. The project evolved alongside national efforts like the My Brother's Keeper initiative and influenced local campaigns such as Los Angeles County’s equity assessments and Philadelphia’s planning documents. Major updates integrated datasets from the Decennial Census and incorporated methodological work from scholars at Harvard University, University of California, Berkeley, and Columbia University.

Data Sources and Methodology

Primary data inputs include the U.S. Census Bureau's American Community Survey, the Bureau of Labor Statistics's Local Area Unemployment Statistics, and administrative records from state labor departments like the California Employment Development Department and New York State Department of Labor. The Atlas applies statistical techniques from demography and spatial analysis used by researchers at National Bureau of Economic Research, RAND Corporation, and the Institute for Research on Poverty to generate estimates for indicators such as median wages, employment-population ratios, and labor force participation by race/ethnicity groups defined in federal standards. Geospatial methods draw on tools popularized by ESRI and research from the Lincoln Institute of Land Policy to create neighborhood-level mapping compatible with data from metropolitan planning organizations like the Puget Sound Regional Council.

Key Metrics and Indicators

Key metrics include disparities in median household income, unemployment rates by race and gender, occupational segregation, homeownership gaps, and projected demographic shifts such as aging and immigration patterns. Indicators mirror those used in reports by Economic Policy Institute, Center on Budget and Policy Priorities, and Joint Center for Political and Economic Studies, tracking measures like living wages, poverty rates, and job growth in sectors identified by the Bureau of Labor Statistics's occupational classifications. The Atlas features comparative dashboards for metropolitan areas including Atlanta, Houston, Denver, Phoenix, Seattle, Detroit, Baltimore, and Minneapolis-Saint Paul.

Applications and Impact

Practitioners use Atlas outputs to craft local policies—examples include affordable housing plans adopted by Los Angeles County Metropolitan Transportation Authority partners, workforce development strategies aligned with Workforce Innovation and Opportunity Act funding, and equity assessments for climate resilience projects referenced by California Air Resources Board and New York City Mayor’s Office of Climate and Environmental Justice. Nonprofits and coalitions such as Urban League, NAACP, National Low Income Housing Coalition, and Asian Pacific American Labor Alliance use Atlas data for advocacy, campaign targeting, and grant proposals to philanthropy partners like Annie E. Casey Foundation and Charles Stewart Mott Foundation.

Partnerships and Funding

The Atlas operates through collaborations among think tanks, universities, and civic technology organizations including PolicyLink, the University of Southern California, Bernalillo County, and regional governments. Funding and support have come from foundations such as Ford Foundation, W.K. Kellogg Foundation, Robert Wood Johnson Foundation, Surdna Foundation, and civic partners including municipal offices in Oakland, Seattle, and Philadelphia. Data partnerships extend to federal agencies like the U.S. Census Bureau and state agencies such as the California Department of Finance and New York State Department of Health.

Criticisms and Limitations

Critics argue the Atlas inherits limitations of source datasets—such as sampling error in the American Community Survey, undercount issues raised by the 2010 United States Census and 2020 United States Census, and lag times of administrative records from the Bureau of Labor Statistics. Others note methodological constraints when applying national models to small geographies, echoing debates in scholarship from National Academy of Sciences panels and critiques from researchers at Princeton University and Yale University. Community groups including some chapters of Black Lives Matter and grassroots housing coalitions have called for more participatory data practices and clearer disclosure of imputation methods used for sparse-population tracts.

Category:Data projects