The Urban Institute data science team used data from the US Bureau of Labor Statistics, IPUMS 2012-2018 ACS microdata, r and Urban’s 2017 Census LODES data to estimate the number of low-income jobs (<$40,000 salary) lost because of COVID-19 by industry for every census tract in the US. The code, and more information about the methodology used to generate the data, can be found here, and the interactive data visualization powered by these data can be found here. The data are available at the tract, county, or core-based statistical area level. LODES data by Census tract by income level used in this analysis can be found on the data catalog here.
Variables labeled 'X01', 'X02', etc. map directly to the CNS industry classification for the LODES data, such that 'X01' = 'CNS01', 'X02' = 'CNS02', etc. Definitions of these variables can be found on our LODES data catalog page data documentation.
Data and Resources
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|Additional Notes|| |
If using IPUMS USA related data, please use the appropriate citation: https://usa.ipums.org/usa/cite.shtml. Steven Ruggles, Sarah Flood, Ronald Goeken, Josiah Grover, Erin Meyer, Jose Pacas and Matthew Sobek. IPUMS USA: Version 10.0 [dataset]. Minneapolis, MN: IPUMS, 2020. https://doi.org/10.18128/D010.V10.0
|Citation Requirements|| |
Urban Institute. 2020. Revisions. Accessible from https://datacatalog.urban.org/dataset/estimated-low-income-jobs-lost-cov.... Data originally sourced from Census LODES, IPUMS USA, BLS, NY Department of Labor, & WA Employment Security Department, developed at the Urban Institute, and made available under the ODC-BY 1.0 Attribution License.