A newer version of this project is available. See below for other available versions.

Jobs Proximity Index, U.S. Department of Housing and Urban Development (HUD)

Principal Investigator(s):  View help for Principal Investigator(s) United States. Department of Housing and Urban Development

Version:  View help for Version V1

Name File Type Size Last Modified

Project Citation: 

United States. Department of Housing and Urban Development. Jobs Proximity Index, U.S. Department of Housing and Urban Development (HUD). Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2018-12-19. https://doi.org/10.3886/E100558V1

Project Description

Project Title:  View help for Project Title Jobs Proximity Index, U.S. Department of Housing and Urban Development (HUD)
Summary:  View help for Summary
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: (see attached image)

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. Erepresents the number of jobs in block-group j, and L is the number of workers in block-group j.The Longitudinal Employer-Household Dynamics (LEHD) has missing jobs data in all of Puerto Rico and a concentration of missing records in Massachusetts.InterpretationValues 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.Data Source: Longitudinal Employer-Household Dynamics (LEHD) data, 2014

Data Current as of: 2/22/2017

DATASET ATTRIBUTES

  • GEOID
    Text
  • STATE
    Text
  • COUNTY
    Text
  • TRACT
    Text
  • BLOCKGROUP
    Text
  • jobs_idx
    Number
  • jobs_alt_idx
    Number
  • schl_idx
    Number
  • Shape__Area
    Number
    min: 4.54   max: 1,248,999,331,413.33   avg: 97,385,218.81   count: 220,032
  • Shape__Length
    Number


Original Distribution URL:  View help for Original Distribution URL http://hudgis-hud.opendata.arcgis.com/datasets/4e2ef54b88084fb5a2554281b2d89a8b_0

Scope of Project

Subject Terms:  View help for Subject Terms Jobs Proximity Index; Economic Development; employment
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 11/2017 – 11/2017
Collection Notes:  View help for Collection Notes 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.

Methodology

Data Source:  View help for Data Source Longitudinal Employer-Household Dynamics (LEHD) data, 2014

Related Publications

Download this project

Published Versions

V2 [2021-02-10]

V1 [2018-12-19]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.