Description: Census 5-Year ACS Data 2018-2022 at tract geography with an equity index score calculated per tract. Higher scores mean a greater concentration of marginalized communities in the tract. To calculate an index score, several steps were followed: 1) Each percent estimate from the 10 ACS demographic indicators included in the dataset (indicated with a "p" prefix) is assigned a z-score per tract. A z-score quantifies how far above or below the regional average the value is. 2) The ten z-scores are each put on a scale from 0-100 based on minimum and maximum values. This is done to avoid overemphasizing indicators that are simply more variable than others. 3) The ten scaled z-scores are grouped into three domains based on common themes. These domains are Economic Status, Mobility Barriers, and Race & National Origin. For each domain, the mean of the scaled z-scores is calculated creating three domain scores. 4) The three domain scores are averaged to calculate the final index score.
Service Item Id: 3c90b4ae987f4abeba4abf5ec89629e3
Copyright Text: United States Census Tiger Data and United States Census American Community Survey Data
Description: Census 5-Year ACS Data 2018-2022 at tract geography with an equity index score calculated per tract. Higher scores mean a greater concentration of marginalized communities in the tract. To calculate an index score, several steps were followed: 1) Each percent estimate from the 10 ACS demographic indicators included in the dataset (indicated with a "p" prefix) is assigned a z-score per tract. A z-score quantifies how far above or below the regional average the value is. 2) The ten z-scores are each put on a scale from 0-100 based on minimum and maximum values. This is done to avoid overemphasizing indicators that are simply more variable than others. 3) The ten scaled z-scores are grouped into three domains based on common themes. These domains are Economic Status, Mobility Barriers, and Race & National Origin. For each domain, the mean of the scaled z-scores is calculated creating three domain scores. 4) The three domain scores are averaged to calculate the final index score.
Service Item Id: 3c90b4ae987f4abeba4abf5ec89629e3
Copyright Text: United States Census Tiger Data and United States Census American Community Survey Data
Description: Census 5-Year ACS Data 2018-2022 at tract geography with an equity index score calculated per tract. Higher scores mean a greater concentration of marginalized communities in the tract. To calculate an index score, several steps were followed: 1) Each percent estimate from the 10 ACS demographic indicators included in the dataset (indicated with a "p" prefix) is assigned a z-score per tract. A z-score quantifies how far above or below the regional average the value is. 2) The ten z-scores are each put on a scale from 0-100 based on minimum and maximum values. This is done to avoid overemphasizing indicators that are simply more variable than others. 3) The ten scaled z-scores are grouped into three domains based on common themes. These domains are Economic Status, Mobility Barriers, and Race & National Origin. For each domain, the mean of the scaled z-scores is calculated creating three domain scores. 4) The three domain scores are averaged to calculate the final index score.
Service Item Id: 3c90b4ae987f4abeba4abf5ec89629e3
Copyright Text: United States Census Tiger Data and United States Census American Community Survey Data
Description: Census 5-Year ACS Data 2018-2022 at tract geography with an equity index score calculated per tract. Higher scores mean a greater concentration of marginalized communities in the tract. To calculate an index score, several steps were followed: 1) Each percent estimate from the 10 ACS demographic indicators included in the dataset (indicated with a "p" prefix) is assigned a z-score per tract. A z-score quantifies how far above or below the regional average the value is. 2) The ten z-scores are each put on a scale from 0-100 based on minimum and maximum values. This is done to avoid overemphasizing indicators that are simply more variable than others. 3) The ten scaled z-scores are grouped into three domains based on common themes. These domains are Economic Status, Mobility Barriers, and Race & National Origin. For each domain, the mean of the scaled z-scores is calculated creating three domain scores. 4) The three domain scores are averaged to calculate the final index score.
Service Item Id: 3c90b4ae987f4abeba4abf5ec89629e3
Copyright Text: United States Census Tiger Data and United States Census American Community Survey Data
Description: Features in this dataset represent the boundaries of each county in the State of Colorado. Features are represented by polygon geographic shapes.
Description: Trails within and around Arapahoe County, Colorado. Much of this information was captured from a City of Aurora source layer. For areas outside the city, trails were researched, and digitized from hardcopy maps or captured from aerials.
Description: Features in this dataset represent the boundaries of each county in the State of Colorado. Features are represented by polygon geographic shapes.
Description: Polygon feature of parcels within the City of Littleton attributed with existing and future land uses and character classes for the 2019 comprehensive planning process
Description: This layer is a point representation of all known medical facilities within Arapahoe County, Colorado. It is still a work in progress, and its completeness is not presently assured.
Description: This layer is a point representation of all known medical facilities within Arapahoe County, Colorado. It is still a work in progress, and its completeness is not presently assured.
Description: Public and Private School locations within Arapahoe County, Colorado. Private School locations were derived from internet database sources of registered private schools.