Local Employment Dynamics (LED) for ESG Areas
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<p>The Local Employment Dynamics (LED) Partnership is a voluntary federal-state enterprise created for the purpose of merging employee, and employer data to provide a set of enhanced labor market statistics known collectively as Quarterly Workforce Indicators (QWI). The QWI are a set of economic indicators including employment, job creation, earnings, and other measures of employment flows.</p>
<p>For the purposes of this dataset, LED data for 2018 is aggregated to Census Summary Level 070 (State + County + County Subdivision + Place/Remainder), and joined with the Emergency Solutions Grantee (ESG) areas spatial dataset for FY2018.</p>
<p>The Emergency Solutions Grants (ESG), formally the Emergency Shelter Grants, program is designed to identify sheltered and unsheltered homeless persons, as well as those at risk of homelessness, and provide the services necessary to help those persons quickly regain stability in permanent housing after experiencing a housing crisis and/or homelessness. The ESG is a non-competitive formula grant awarded to recipients which are state governments, large cities, urban counties, and U.S. territories. Recipients make these funds available to eligible sub-recipients, which can be either local government agencies or private nonprofit organizations. The recipient agencies and organizations, which actually run the homeless assistance projects, apply for ESG funds to the governmental grantee, and not directly to HUD.</p>
<p>Please note that this version of the data does not include Community Planning and Development (CPD) entitlement grantees. LED data for CPD entitlement areas can be obtained from the LED for CDBG Grantee Areas feature service.</p><p><br /></p>
<p><font size='3'>To learn more about the Local Employment Dynamics (LED) Partnership visit: <a href='https://lehd.ces.census.gov/' target='_blank' rel='nofollow ugc noopener noreferrer'><b>https://lehd.ces.census.gov/</b></a></font><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>, for questions about the spatial attribution of this dataset, please reach out to us at </span><a href='mailto:GISHelpdesk@hud.gov' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;' target='_blank' rel='nofollow ugc noopener noreferrer'><b>GISHelpdesk@hud.gov</b></a><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>. </span></p><p><font size='3'>
Data Dictionary: </font><a href='https://hud.maps.arcgis.com/sharing/rest/content/items/fa199e9f216e4c74a62c933cae9cdf3f/data' style='font-size:medium;' target='_blank' rel='nofollow ugc noopener noreferrer'><b>DD_LED for ESG Grantee Areas</b></a>
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Date of Coverage: </font><b>ESG-2021/LED-2018</b><br /></p>
