View Metadata
Jobs_Proximity_Idx_2020
- Identification Information
- Spatial Data Organization Information
- Entity and Attribute Information
- Distribution Information
- Metadata Reference Information
- Identification Information
- Citation
- Publication Date
- 20250424
- Title
- Jobs_Proximity_Idx_2020
- 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 (Census Block Group) 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.
- Temporal Extent
- Currentness Reference
- ground condition
- Time Period
- Beginning
- 20170101
- End
- 20210101
- Bounding Box
- West
- -179.147324
- East
- 179.778482
- North
- 71.390482
- South
- 17.881324
- Theme Keyword
- United States
- Labor market
- Theme Keyword Thesaurus
- lcsh
- Place Keyword
- United States
- Place Keyword Thesaurus
- geonames
- Temporal Keyword
- Access Restrictions
- This work is in the Public Domain, meaning that it is not subject to copyright.
- Use Restrictions
- None
- Status
- Complete
- 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
- 242037
- Entity and Attribute Information
- Entity Type
- Entity Type Label
- Jobs_Proximity_Idx_2020
- Attributes
- FID
- Internal feature number. (Sequential unique whole numbers that are automatically generated.)
- Definition Source
- Esri
- OBJECTID_1
- 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
- jobs_idx
- STUSAB
- STATE
- COUNTY
- TRACT
- BLOCKGROUP
- Shape__Are
- Shape__Len
- 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
- 20250804
- 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_Idx_2020
- Identification Information
- Spatial Reference Information
- Distribution Information
- Content Information
- Spatial Representation Information
- Metadata Reference Information
Identification Information
- Citation
- Title
- Jobs_Proximity_Idx_2020
- Publisher
- United States. Department of Housing and Urban Development
- Publication Date
- 2025-04-24
- Identifier
- https://purl.stanford.edu/xg222qj7332
- 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 (Census Block Group) 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.
- Temporal Extent
- Currentness Reference
- ground condition
- Time Period
- Begin
- 2017-01-01T00:00:00
- End
- 2021-01-01T00:00:00
- Bounding Box
- West
- -179.147324
- East
- 179.778482
- North
- 71.390482
- South
- 17.881324
- Place Keyword
-
United States
- Place Keyword Thesaurus
- geonames
- Theme Keyword
- United States
-
Labor market
- Theme Keyword Thesaurus
- lcsh
- Legal Constraints
- Use Restrictions
- otherRestrictions
- Other Restrictions
- This work is in the Public Domain, meaning that it is not subject to copyright.
- Status
- completed
- Collection
- Collection Title
- U.S. Department of Housing and Urban Development Maps and GIS Data
- URL
- https://purl.stanford.edu/xg222qj7332
- Language
- eng
Spatial Reference Information
- Reference System Identifier
- Code
- 4269
- Code Space
- EPSG
- Version
- 6.5(3.0.1)
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
- 309a0595-3730-4273-a483-2837998b139bUUID
Spatial Representation Information
- Vector
- Topology Level
- geometryOnly
- Vector Object Type
- composite
- Vector Object Count
- 242037
Metadata Reference Information
- Hierarchy Level
- dataset
- Metadata File Identifier
- https://purl.stanford.edu/xg222qj7332
- Parent Identifier
- https://purl.stanford.edu/wc590wy7491.mods
- Dataset URI
- https://purl.stanford.edu/xg222qj7332
- Metadata Date Stamp
- 2025-08-04
- Metadata Standard Name
- ISO 19139 Geographic Information - Metadata - Implementation Specification
- Metadata Standard Version
- 2007
- Character Set
- utf8