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Deteriorated Paint Index by County, 2009-2013

Identification Information
Citation
Publication Date
20230731
Title
Deteriorated Paint Index by County, 2009-2013
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 Deteriorated Paint Index (DPI) data predicts areas at-risk of containing several pre-1980 households with large areas of deteriorated paint, a significant and common predictor of lead dust. Funding for remediation and abatement is limited. To adequately target households eligible for home remediation and associated intervention efforts, local healthy homes and environmental health program administrators must identify neighborhoods that are the most “at risk” of residential lead exposure where deteriorated paint is the primary source. To address this need, the DPI uses household-level data to predict a household’s risk of deteriorated paint. Predicted risk scores were calculated using microdata from the 2011 American Housing Survey (AHS) and the 2009-2013 American Community Survey (ACS) to develop a predicted risk measure. This metric estimates the predicted percentage of occupied housing units with large areas of deteriorated paint for three geographic levels: state, county, and tract. The primary methodological goal of the analysis was to post-fit ACS households with beta parameters from an AHS model that predicted the presence of a large area of deteriorated paint. Prior research shows this methodology can be used for small area estimation.Analyses were conducted using SAS Version 9.1.4 (SAS Institute Inc., Cary, NC). Household-level ACS and AHS microdata were used. Analyses were conducted in a Census-approved partner institution Federal Statistical Research Data Center. Exposure to residential lead dust will continue to be a public health problem until housing with deteriorated lead paint is remediated. Public health practitioners interested in strategically allocating healthy homes funding should consult this dataset and overlay predicted rates of deteriorated paint with important and unique local data to develop comprehensive targeting strategies.Date of Coverage: 2009-2013
Purpose
Deteriorated Paint Index by County
Temporal Extent
Currentness Reference
ground condition
Time Period
Beginning
20090101
End
20130101
Bounding Box
West
-179.147339
East
179.778467
North
71.390482
South
17.881327
Theme Keyword
Paint--Deterioration
Theme Keyword Thesaurus
lcsh
Theme Keyword
boundaries
economy
health
location
society
Theme Keyword Thesaurus
ISO 19115 Topic Categories
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
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
None planned
Point of Contact
Contact Organization
U.S. Department of Housing and Urban Development
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
3220
Entity and Attribute Information
Entity Type
Entity Type Label
Deteriorated Paint Index by County
Entity Type Definition
Deteriorated Paint Index by County
Entity Type Definition Source
U.S. Department of Housing and Urban Development
Attributes
OBJECTID_1
Internal feature number. (Sequential unique whole numbers that are automatically generated.)
Definition Source
Esri
GEOID
Concatenation of State, County, and Tract FIPS codes
Definition Source
HUD Authors
STATE
2-charcter State FIPS code
Definition Source
HUD Authors
STATE_NAME
COUNTY
3-character County FIPS code
Definition Source
HUD Authors
NAME
SHAPE
The characteristic appearance or visible form of a geographic object as represented on a map (Coordinates defining the features.)
Definition Source
HUD Authors
Percent
AGE_ALL
AGE_0_5
AGE_0_5_RATE
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
20230731
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

Deteriorated Paint Index by County, 2009-2013

Identification Information

Citation
Title
Deteriorated Paint Index by County, 2009-2013
Publisher
United States. Department of Housing and Urban Development
Publication Date
2023-07-31
Identifier
https://purl.stanford.edu/wh416jw7850
Geospatial Data Presentation Form
mapDigital
Collection Title
U.S. Department of Housing and Urban Development Maps and GIS Data
Abstract
The Deteriorated Paint Index (DPI) data predicts areas at-risk of containing several pre-1980 households with large areas of deteriorated paint, a significant and common predictor of lead dust. Funding for remediation and abatement is limited. To adequately target households eligible for home remediation and associated intervention efforts, local healthy homes and environmental health program administrators must identify neighborhoods that are the most “at risk” of residential lead exposure where deteriorated paint is the primary source. To address this need, the DPI uses household-level data to predict a household’s risk of deteriorated paint. Predicted risk scores were calculated using microdata from the 2011 American Housing Survey (AHS) and the 2009-2013 American Community Survey (ACS) to develop a predicted risk measure. This metric estimates the predicted percentage of occupied housing units with large areas of deteriorated paint for three geographic levels: state, county, and tract. The primary methodological goal of the analysis was to post-fit ACS households with beta parameters from an AHS model that predicted the presence of a large area of deteriorated paint. Prior research shows this methodology can be used for small area estimation.Analyses were conducted using SAS Version 9.1.4 (SAS Institute Inc., Cary, NC). Household-level ACS and AHS microdata were used. Analyses were conducted in a Census-approved partner institution Federal Statistical Research Data Center. Exposure to residential lead dust will continue to be a public health problem until housing with deteriorated lead paint is remediated. Public health practitioners interested in strategically allocating healthy homes funding should consult this dataset and overlay predicted rates of deteriorated paint with important and unique local data to develop comprehensive targeting strategies.Date of Coverage: 2009-2013
Purpose
Deteriorated Paint Index by County
Temporal Extent
Currentness Reference
ground condition
Time Period
Begin
2009-01-01T00:00:00
End
2013-01-01T00:00:00
Bounding Box
West
-179.147339
East
179.778467
North
71.390482
South
17.881327
Bounding Box
West
-179.147339
East
179.778467
North
71.390482
South
17.881327
ISO Topic Category
boundaries
economy
health
location
society
Place Keyword
United States
Place Keyword Thesaurus
geonames
Theme Keyword
Paint--Deterioration
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
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
notPlanned
Collection
Collection Title
U.S. Department of Housing and Urban Development Maps and GIS Data
URL
https://purl.stanford.edu/wh416jw7850
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
Email
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
82581a95-c959-4ddc-88b0-c2b075edcec4UUID

Spatial Representation Information

Vector
Topology Level
geometryOnly
Vector Object Type
composite
Vector Object Count
3220

Metadata Reference Information

Hierarchy Level
dataset
Metadata File Identifier
https://purl.stanford.edu/wh416jw7850
Parent Identifier
https://purl.stanford.edu/wc590wy7459.mods
Dataset URI
https://purl.stanford.edu/wh416jw7850
Metadata Date Stamp
2023-07-31
Metadata Standard Name
ISO 19139 Geographic Information - Metadata - Implementation Specification
Metadata Standard Version
2007
Character Set
utf8
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