ORD/EnvironmentalQualityIndex (MapServer)

View In: ArcGIS JavaScript ArcGIS Online map viewer Google Earth ArcMap ArcGIS Explorer

View Footprint In: ArcGIS Online map viewer

Service Description: Full Metadata The US Environmental Protection Agency's (EPA) National Health and Environmental Effects Research Laboratory (NHEERL) in the Environmental Public Health Division (EPHD) is currently engaged in research aimed at developing a measure that estimates overall environmental quality at the county level for the United States. This work is being conducted as an effort to learn more about how various environmental factors simultaneously contribute to health disparities in low-income and minority populations, and to better estimate the total environmental and social context to which humans are exposed. This dataset contains the finalized Environmental Quality Index (EQI), and an index for each of the associated domains (air, water, land, built, and sociodemographic environment). Indices are at the county level for all counties in the United States. More information about the EQI can be found at https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. 1) The data used to create the index attempted to balance quality measurement with geographic breadth of coverage - index does reasonable job estimating the general environment, but less useful for estimating specific environments. 2) Not all relevant environmental exposures are necessarily included in the index. Data inclusion is dependent on data collection and coverage; if relevant data are not being collected, the exposure will not be captured in the EQI. 3) In areas where little data collection occurs the data may be over representing the environmental profile of those areas. For example, a county that contains a national park without data collected and a town with data collection will be solely represented by the town area, though that may be inaccurate for the entire county. 4) Focused solely on the outside environment, which may not be the most relevant exposure in relation to human health and disease. 5) Population-level analyses offer little predictive utility for individual-level risk. Therefore, while the index may be useful at identifying less healthy environments, it will not be useful for predicting adverse outcomes. Access constraints: None. Use constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated.

Map Name: Environmental Quality Index (EQI)

Legend

All Layers and Tables

Dynamic Legend

Dynamic All Layers

Layers:

Description: Full Metadata The US Environmental Protection Agency's (EPA) National Health and Environmental Effects Research Laboratory (NHEERL) in the Environmental Public Health Division (EPHD) is currently engaged in research aimed at developing a measure that estimates overall environmental quality at the county level for the United States. This work is being conducted as an effort to learn more about how various environmental factors simultaneously contribute to health disparities in low-income and minority populations, and to better estimate the total environmental and social context to which humans are exposed. This dataset contains the finalized Environmental Quality Index (EQI), and an index for each of the associated domains (air, water, land, built, and sociodemographic environment). Indices are at the county level for all counties in the United States. More information about the EQI can be found at https://edg.epa.gov/data/Public/ORD/NHEERL/EQI. 1) The data used to create the index attempted to balance quality measurement with geographic breadth of coverage - index does reasonable job estimating the general environment, but less useful for estimating specific environments. 2) Not all relevant environmental exposures are necessarily included in the index. Data inclusion is dependent on data collection and coverage; if relevant data are not being collected, the exposure will not be captured in the EQI. 3) In areas where little data collection occurs the data may be over representing the environmental profile of those areas. For example, a county that contains a national park without data collected and a town with data collection will be solely represented by the town area, though that may be inaccurate for the entire county. 4) Focused solely on the outside environment, which may not be the most relevant exposure in relation to human health and disease. 5) Population-level analyses offer little predictive utility for individual-level risk. Therefore, while the index may be useful at identifying less healthy environments, it will not be useful for predicting adverse outcomes. Access constraints: None. Use constraints: None. Please check sources, scale, accuracy, currency and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated.

Copyright Text: EQI ORD-NHEERL USEPA

Spatial Reference: 102100 (3857)

Single Fused Map Cache: false

Initial Extent:

Full Extent:

Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info:

Supports Dynamic Layers: true

MaxRecordCount: 1000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, AMF, geoJSON

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true

Child Resources: Info Dynamic Layer

Supported Operations: Export Map Identify QueryDomains Find Return Updates