Jobs Proximity Index 2020
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<p style='margin:12pt 0in 0pt; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; padding:0px; text-align:center;'><font size='5' style='font-family:inherit;'>JOBS PROXIMITY INDEX</font></p><p style='margin:6pt 0in 0pt; font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; padding:0px; color:rgb(77, 77, 77);'><i><b><font size='3' style='font-family:inherit;'>Summary</font></b></i></p><span style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>The jobs proximity index quantifies the accessibility of a given residential neighborhood as a function of its distance to all job locations within a CBSA, with larger employment centers weighted more heavily. Specifically, a gravity model is used, where the accessibility (Ai) of a given residential block- group is a summary description of the distance to all job locations, with the distance from any single job location positively weighted by the size of employment (job opportunities) at that location and inversely weighted by the labor supply (competition) to that location. More formally, the model has the following specification: </span><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px; text-align:center;'><img alt='alt text' src='https://cloud.githubusercontent.com/assets/5577360/7684618/7a57467c-fd55-11e4-9332-697262f3a025.png' style='max-width:100%; height:auto;' /><br /></div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>Where i indexes a given residential block-group, and j indexes all n block groups within a CBSA. Distance, d, is measured as “as the crow flies” between block-groups i and j, with distances less than 1 mile set equal to 1. E represents the number of jobs in block-group j, and L is the number of workers in block-group j. </div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><br /></div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>The Longitudinal Employer-Household Dynamics (LEHD) has missing jobs data in all of Puerto Rico and a concentration of missing records in Massachusetts. <br /><br /></div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'><i><b><font size='3' style='font-family:inherit;'>Interpretation</font></b></i><br /></div><div style='font-family:"Avenir Next W01", "Avenir Next W00", "Avenir Next", Avenir, "Helvetica Neue", sans-serif; font-size:16px;'>Values are percentile ranked with values ranging from 0 to 100. The higher the index value, the better the access to employment opportunities for residents in a neighborhood. <div style='font-family:inherit;'><br /><div style='font-family:inherit;'><u>Data Source:</u> <br />ACS 2017 - 2021 5 year summary data. <br />Longitudinal Employer-Household Dynamics (LEHD) data, 2017. </div><div style='font-family:inherit;'>Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 8. <br /><br /></div><div style='font-family:inherit;'>To learn more about the Jobs Proximity Index visit: </div><div style='font-family:inherit;'><a href='https://www.hud.gov/program_offices/fair_housing_equal_opp/affh' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>https://www.hud.gov/program_offices/fair_housing_equal_opp/affh</a> ; <a href='https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf' style='color:rgb(0, 97, 155); text-decoration-line:none; font-family:inherit;' target='_blank' rel='nofollow ugc noopener noreferrer'>https://www.hud.gov/sites/dfiles/FHEO/documents/AFFH-T-Data-Documentation-AFFHT0006-July-2020.pdf</a><span style='font-family:inherit;'>, for questions about the spatial attribution of this dataset, please reach out to us at </span><a href='mailto:GISHelpdesk@hud.gov' style='font-family:inherit; color:rgb(0, 97, 155); text-decoration-line:none;' target='_blank' rel='nofollow ugc noopener noreferrer'><b>GISHelpdesk@hud.gov</b></a><span style='font-family:inherit;'>. </span></div><div style='font-family:inherit;'><br />Date of Coverage: <b>2017 - 2021 ACS</b></div><div style='font-family:inherit;'>Date Updated: <b>10/2023</b></div></div></div>



