The mean job proximity index of Lexington city, VA was 84 in 2015.

Median Jobs Proximity Index

The jobs proximity index quantifies access to employment opportunities in a region. Values are percentile ranked and range from 0 to 100, with higher values corresponding to better access to jobs. Data is computed for U.S. counties by applying summary statistics across all census tracts present in a county and is current as of 2015.

The underlying index quantifies the accessibility of a given residential neighborhood as a function of its distance to all job locations within a census tract, with distance to 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.

Above charts are based on data from the U.S. Department of Housing and Urban Development | Data Source | ODN Dataset | API - Notes:

1. ODN datasets and APIs are subject to change and may differ in format from the original source data in order to provide a user-friendly experience on this site.

2. To build your own apps using this data, see the ODN Dataset and API links.

3. If you use this derived data in an app, we ask that you provide a link somewhere in your applications to the Open Data Network with a citation that states: "Data for this application was provided by the Open Data Network" where "Open Data Network" links to http://opendatanetwork.com. Where an application has a region specific module, we ask that you add an additional line that states: "Data about REGIONX was provided by the Open Data Network." where REGIONX is an HREF with a name for a geographical region like "Seattle, WA" and the link points to this page URL, e.g. http://opendatanetwork.com/region/1600000US5363000/Seattle_WA

Jobs and Job Proximity Datasets Involving Lexington city, VA

  • API

    Virginia Beach Demographics

    data.vbgov.com | Last Updated 2017-10-12T13:51:45.000Z

    This dataset provides demographic information from the American Community Survey about residents of Virginia Beach. This data was originally provided in the executive summary of the City of Virginia Beach’s Operating Budget.

  • API

    Citizen Satisfaction Survey

    data.vbgov.com | Last Updated 2018-03-05T16:05:46.000Z

    Multi-Year Citizen Satisfaction Survey results

  • API

    Parcel Geographic Summary

    data.richmondgov.com | Last Updated 2017-09-28T17:25:39.000Z

    This dataset is provided as a resource for cross-referencing data with the City's GIS. Here, parcels are summarized by many geographic entities such as Census, Enterprise Zones, Neighborhood, Zoning, and many more... Use of the PIN key can be used for this purpose. (Update Frequency: Quarterly)

  • API

    Fire Calls For Service

    data.vbgov.com | Last Updated 2018-11-12T06:17:57.000Z

    This dataset provides information about all reported incidents (including fires, hazardous materials response, medical calls, etc.), responded to by the Virginia Beach Fire Department occurring within the corporate limits of the City of Virginia Beach.

  • API

    Point In Time Homeless Survey Data

    data.sonomacounty.ca.gov | Last Updated 2018-07-30T16:40:53.000Z

    The County of Sonoma conducts an annual homeless count for the entire county. The survey data is derived from a sample of about 600 homeless persons countywide per year. The resulting information is statistically reliable only for the county as a whole, not for individual locations. The exception is the City of Santa Rosa, where the sample taken within the city is large enough to be predictive of the overall homeless population in that city.