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Jobs Proximity Index, 2023
- Identification Information
- Spatial Data Organization Information
- Entity and Attribute Information
- Distribution Information
- Metadata Reference Information
- Identification Information
- Citation
- Publication Date
- 20230705
- Title
- Jobs Proximity Index, 2023
- Geospatial Data Presentation Form
- vector digital data
- Collection Title
- U.S. Department of Housing and Urban Development Maps and GIS Data
- Publication Information
- Publication Place
- Publisher
- United States. Department of Housing and Urban Development
- Abstract
- 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: 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. The Longitudinal Employer-Household Dynamics (LEHD) has missing jobs data in all of Puerto Rico and a concentration of missing records in Massachusetts. Interpretation 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. Data Source: Longitudinal Employer-Household Dynamics (LEHD) data, 2014. Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 8. To learn more about the Jobs Proximity Index visit: https://www.hudexchange.info/resource/4868/affh-raw-data/ Date of Coverage: 02/2020
- Purpose
- The Jobs Proximity Index quantifies the accessibility of a given residential neighborhood (Census Block Group) as a function of its distance to all job locations within a CBSA, with larger employment centers weighted more heavily.
- Temporal Extent
- Currentness Reference
- ground condition
- Time Instant
- 20200101
- Bounding Box
- West
- -179.147339
- East
- 179.778467
- North
- 71.390482
- South
- 18.910788
- Theme Keyword
- Labor market
- Theme Keyword Thesaurus
- lcsh
- Theme Keyword
- boundaries
- economy
- location
- society
- Theme Keyword Thesaurus
- ISO 19115 Topic Categories
- Place Keyword
- United States
- Place Keyword Thesaurus
- geonames
- Temporal Keyword
- Access Restrictions
- Other Constraints
- Use Restrictions
- HUD and the dataset and metadata authors assume no responsibility for the use or misuse of the dataset. No warranty, expressed or implied is made with regard to the accuracy of the spatial accuracy, and no liability is assumed by the U.S. Government in general, the dataset creators or the U.S. Department of Housing and Urban Development specifically, as to the spatial or attribute accuracy of the data.
- Status
- Complete
- Maintenance and Update Frequency
- Annually
- Point of Contact
- Contact Organization
- Department of Housing and Urban Development, Office of Policy Development and Research
- Delivery Point
- 451 7th Street SW rm. 8126
- City
- Washington
- State
- D.C.
- Postal Code
- 20410-0001
- Country
- US
- Contact Telephone
- 202-402-4153
- Contact Electronic Mail Address
- GIShelpdesk@hud.gov
- Credit
- U.S. Department of Housing and Urban Development
- Native Data Set Environment
- Esri ArcGIS 12.9.3.32739
- Collection
- Title
- U.S. Department of Housing and Urban Development Maps and GIS Data
- Spatial Data Organization Information
- Direct Spatial Reference Method
- Vector
- Point and Vector Object Information
- SDTS Terms Description
- SDTS Point and Vector Object Type
- GT-polygon composed of chains
- Point and Vector Object Count
- 217339
- Entity and Attribute Information
- Entity Type
- Entity Type Label
- Jobs Proximity Index
- Entity Type Definition
- The Jobs Proximity Index quantifies the accessibility of a given residential neighborhood (Census Block Group) as a function of its distance to all job locations within a CBSA, with larger employment centers weighted more heavily.
- Entity Type Definition Source
- U.S. Department of Housing and Urban Development
- Attributes
- OBJECTID
- Internal feature number. (Sequential unique whole numbers that are automatically generated.)
- Definition Source
- Esri
- Shape
- Feature geometry. (Coordinates defining the features.)
- Definition Source
- Esri
- GEOID
- Geographic ID
- Definition Source
- HUD Authors
- CATEGORY
- Geographic level of data
- Definition Source
- HUD Authors
- JOBS_IDX
- Jobs proximity index (block group)
- Definition Source
- HUD Authors
- STUSAB
- State USPS abbreviation (two letters)
- Definition Source
- HUD Authors
- STATE
- State FIPS Code (two digits)
- Definition Source
- HUD Authors
- STATE_NAME
- State name
- Definition Source
- HUD Authors
- COUNTY
- County FIPS code (three digits)
- Definition Source
- HUD Authors
- COUNTY_NAME
- County name
- Definition Source
- HUD Authors
- TRACT
- Tract ID (six digits, implied two decimals)
- Definition Source
- HUD Authors
- BLOCKGROUP
- Block group ID (one digit)
- Definition Source
- HUD Authors
- VERSION
- Data Version
- Definition Source
- HUD Authors
- Shape_Length
- Length of feature in internal units. (Positive real numbers that are automatically generated.)
- Definition Source
- Esri
- Shape_Area
- Area of feature in internal units squared. (Positive real numbers that are automatically generated.)
- Definition Source
- Esri
- Distribution Information
- Distributor
- Stanford Geospatial Center
- Metadata Reference Information
- Metadata Date
- 20230705
- Metadata Contact
- Contact Information
- Contact Organization Primary
- Contact Organization
- Stanford Geospatial Center
- Contact Address
- Address
- Mitchell Bldg. 2nd floor
- Address
- 397 Panama Mall
- City
- Stanford
- State or Province
- California
- Postal Code
- 94305
- Country
- US
- Contact Voice Telephone
- 650-723-2746
- Contact Electronic Mail Address
- brannerlibrary@stanford.edu
- Metadata Standard Name
- FGDC Content Standard for Digital Geospatial Metadata
- Metadata Standard Version
- FGDC-STD-001-1998
Jobs Proximity Index, 2023
- Identification Information
- Spatial Reference Information
- Distribution Information
- Content Information
- Spatial Representation Information
- Metadata Reference Information
Identification Information
- Citation
- Title
- Jobs Proximity Index, 2023
- Publisher
- United States. Department of Housing and Urban Development
- Publication Date
- 2023-07-05
- Identifier
- https://purl.stanford.edu/gq120bj7451
- Geospatial Data Presentation Form
- mapDigital
- Collection Title
- U.S. Department of Housing and Urban Development Maps and GIS Data
- Abstract
- 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: 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. The Longitudinal Employer-Household Dynamics (LEHD) has missing jobs data in all of Puerto Rico and a concentration of missing records in Massachusetts. Interpretation 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. Data Source: Longitudinal Employer-Household Dynamics (LEHD) data, 2014. Related AFFH-T Local Government, PHA and State Tables/Maps: Table 12; Map 8. To learn more about the Jobs Proximity Index visit: https://www.hudexchange.info/resource/4868/affh-raw-data/ Date of Coverage: 02/2020
- Purpose
- The Jobs Proximity Index quantifies the accessibility of a given residential neighborhood (Census Block Group) as a function of its distance to all job locations within a CBSA, with larger employment centers weighted more heavily.
- Temporal Extent
- Currentness Reference
- ground condition
- Time Instant
- 2020-01-01T00:00:00
- Bounding Box
- West
- -179.147339
- East
- 179.778467
- North
- 71.390482
- South
- 18.910788
- Bounding Box
- West
- -179.147339
- East
- 179.778467
- North
- 71.390482
- South
- 18.910788
- ISO Topic Category
- boundaries
- economy
- location
- society
- Place Keyword
-
United States
- Place Keyword Thesaurus
- geonames
- Theme Keyword
-
Labor market
- Theme Keyword Thesaurus
- lcsh
- Resource Constraints
- Use Limitation
- HUD and the dataset and metadata authors assume no responsibility for the use or misuse of the dataset. No warranty, expressed or implied is made with regard to the accuracy of the spatial accuracy, and no liability is assumed by the U.S. Government in general, the dataset creators or the U.S. Department of Housing and Urban Development specifically, as to the spatial or attribute accuracy of the data.
- Legal Constraints
- Access Restrictions
- otherRestrictions
- Other Restrictions
- Other Constraints
- Legal Constraints
- Use Restrictions
- otherRestrictions
- Other Restrictions
- This work is in the Public Domain, meaning that it is not subject to copyright.
- Security Constraints
- Status
- completed
- Maintenance and Update Frequency
- annually
- Collection
- Collection Title
- U.S. Department of Housing and Urban Development Maps and GIS Data
- URL
- https://purl.stanford.edu/gq120bj7451
- Language
- eng
- Credit
- U.S. Department of Housing and Urban Development
- Point of Contact
- Contact
- HUD eGIS Team
- Delivery Point
- 451 7th Street SW rm. 8126
- City
- Washington
- Administrative Area
- D.C.
- Postal Code
- 20410-0001
- Country
- US
- GIShelpdesk@hud.gov
- Phone
- 202-402-4153
Spatial Reference Information
- Reference System Identifier
- Code
- 3857
- Code Space
- EPSG
- Version
- 6.18.3(9.3.1.2)
Distribution Information
- Format Name
- Shapefile
- Distributor
- Stanford Geospatial Center
- Online Access
- Protocol
- Name
Content Information
- Feature Catalog Description
- Compliance Code
- false
- Language
- eng
- Included With Dataset
- true
- Feature Catalog Citation
- Title
- Entity and Attribute Information
- Feature Catalog Identifier
- 0abae048-7b0d-4104-94c9-97d2e6ec3054UUID
Spatial Representation Information
- Vector
- Topology Level
- geometryOnly
- Vector Object Type
- composite
- Vector Object Count
- 217339
Metadata Reference Information
- Hierarchy Level
- dataset
- Metadata File Identifier
- https://purl.stanford.edu/gq120bj7451
- Parent Identifier
- https://purl.stanford.edu/wc590wy7490.mods
- Dataset URI
- https://purl.stanford.edu/gq120bj7451
- Metadata Date Stamp
- 2023-07-05
- Metadata Standard Name
- ISO 19139 Geographic Information - Metadata - Implementation Specification
- Metadata Standard Version
- 2007
- Character Set
- utf8
