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  • FGDC
  • ISO 19139

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
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