The mean job proximity index of Bear Lake County, ID was 37 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 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.

Jobs and Job Proximity Datasets Involving Bear Lake County, ID

  • API

    Howard County Traffic Calming Device Locations | Last Updated 2015-07-15T12:51:04.000Z

    Howard County Traffic Calming Devices.

  • API

    Real-Time Traffic Incident Reports | Last Updated 2018-07-17T01:51:03.000Z

    This data set contains traffic incident information from the Austin-Travis County traffic reports RSS feed, available at The dataset is updated every 5 minutes. Incidents that are currently in the RSS feed have a status of "active" in this dataset. Incidents that are no longer appear in the feed have a status of "archived."

  • API

    Traffic Volumes - Provincial Highway System | Last Updated 2018-03-03T13:43:04.000Z

    Traffic volume census on Provincial Highway System

  • API

    Metro Nashville & Davidson County Traffic Crashes (2018) | Last Updated 2018-07-16T12:00:08.000Z

    This dataset provides details about traffic crashes that occur in Davidson County, including type of crash, number of injuries/fatalities, and weather and lighting conditions by calendar year.

  • API

    Traffic Signals and Pedestrian Signals | Last Updated 2018-07-14T00:15:06.000Z

    This data contains information about traffic and pedestrian signals in the city of Austin, Texas. The data is updated on a daily basis and maintained by the Austin Transportation Department Arterial Management Division. You may also be interested in our signal operations dashboards, available at

  • API

    Traffic Counts Data | Last Updated 2018-03-16T13:47:49.000Z

    Traffic counts data for NJ DOT. The data sets includes short term counts (48 hours volumes) and continuous data.

  • API

    Traffic Volume | Last Updated 2018-06-02T08:15:52.000Z

    This dataset contains weekday average vehicle counts at a particular location on a specific date. Data collection from 1980.

  • API

    2015 Traffic Safety Survey | Last Updated 2016-11-16T21:23:36.000Z

    In April/May 2015, Strathcona County asked County residents to provide feedback about aspects of traffic safety in the community. All quantitative survey results are available in this data set. Information on the methodology used in the development and implementation of the survey can be found in the report 2015 Traffic Safety Survey Part One: Quantitative Research Results. Results from open-ended survey questions are available in a companion report: 2015 Traffic Safety Survey Part Two: Qualitative Research Results. Both reports and the survey questions are attached (see About tab).

  • API

    MEA SmartEnergy: Transportation | Last Updated 2017-04-06T12:04:28.000Z

    Transportation dollars awarded through Maryland Energy Administration's smart energy projects.

  • API

    Transportation to Work 2000-2006-2010 | Last Updated 2017-02-17T22:16:27.000Z

    This table contains data on the percent of residents aged 16 years and older mode of transportation to work for California, its regions, counties, cities/towns, and census tracts. Data is from the U.S. Census Bureau, Decennial Census and American Community Survey. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity ( Commute trips to work represent 19% of travel miles in the United States. The predominant mode – the automobile - offers extraordinary personal mobility and independence, but it is also associated with health hazards, such as air pollution, motor vehicle crashes, pedestrian injuries and fatalities, and sedentary lifestyles. Automobile commuting has been linked to stress-related health problems. Active modes of transport – bicycling and walking alone and in combination with public transit – offer opportunities for physical activity, which is associated with lowering rates of heart disease and stroke, diabetes, colon and breast cancer, dementia and depression. Risk of injury and death in collisions are higher in urban areas with more concentrated vehicle and pedestrian activity. Bus and rail passengers have a lower risk of injury in collisions than motorcyclists, pedestrians, and bicyclists. Minority communities bear a disproportionate share of pedestrian-car fatalities; Native American male pedestrians experience four times the death rate Whites or Asian pedestrians, and African-Americans and Latinos experience twice the rate as Whites or Asians. More information about the data table and a data dictionary can be found in the About/Attachments section.