LEHD Job Density

The U.S. Census's LEHD Origin-Destination Employment Statistics (LODES) Dataset was used to map job and worker density in throughout the Twin Cities Metropolitan Area, Minnesota. The LODES data is part of the U.S. Census's Longitudinal Employer-Household Dynamics (LEHD) program which records the number of jobs by workplace location and the number of workers by household location at the census block level. LEHD data is derived from data provided by the Minnesota Department of Employment and Economic Development's (MNDEED) Quarterly Census of Employment and Wages (QCEW) and the U.S. Social Security Administration. <br/><br/>The U.S. Cenus Bureau protects the confidentiality of the original data by using a system of multiplicative noise infusion, whereby all released data are "fuzzed." Although the positional accuracy of the data is not as good as the original MNDEED QCEW data, a more robust dataset is produced that allows allows users to not only map a general representation of overall job density (LEHD Job Density), but also map jobs by income level (see LEHD Low-Wage Job Density) and workers' residence (see LEHD Worker Household Density or LEHD Low-Wage Worker Household Density).<br/><br/>The census block level LEHD data was converted to a smoothly tapered surface of calculated census block values. The resulting data surface provides a good representation of job density in the Twin Cities Metropolitan Area, Minnesota.

Additional Info

Field Value
Last Updated May 3, 2019, 10:02
Created May 27, 2017, 10:02
dsAccessConst None. This dataset is public domain under the Minnesota Government Data Practices Act (Minnesota Statutes Chapter 13). If the dataset is not available from the Online Linkage in Section 6, please contact the Distribution Contact Person.
dsCurrentRef Workplace Area Characteristics from the U.S. Census's 2010 LEHD Origin-Destination Employment Statistcs (LODES) Dataset
dsMetadataUrl ftp://ftp.gisdata.mn.gov/pub/gdrs/data/pub/us_mn_state_metc/society_job_density_lehd/metadata/metadata.html
dsModifiedDate 2019-05-03 00:23:13
dsOriginator Metropolitan Council
dsPurpose Representing job density as a smooth surface can help users visualize areas of job concentration that might be difficult to interpret from discrete block-level data.

Dataset extent