ward_cot displays the six city council districts in the City of Tucson. Ward area legal boundaries are based on Pima County voting precinct legal boundaries. Last updated September 19, 2023.PurposeShows the six wards of the City of Tucson and the respective councilmembers elected them.Dataset ClassificationLevel 0 - OpenKnown Uses--Known Errors--Data ContactCity of Tucson Information Technology Department, GIS Services, GIS_IT@tucsonaz.govUpdate FrequencyUpdated as new annexation or redistricting occurs.

ACS_Population_Ward_5

Spreadsheet of Hate/Bias related incidents occurring over the specified period reported to the Tucson Police Department, containing offense type, location type, victim and suspect information, TPD division, Zip Code and City of Tucson Ward number for each incident. The specific location is not reported to protect the rights of victims. This dataset only includes incidents reported within the City limits where a hate/bias nexus was determined to be an element of the incident. Specific victim and address information are not reported to protect the rights of victims. Each Hate/Bias crime is an incident in our records management system and reported to the Arizona Department of Public Safety (AZ DPS) each quarter. Each of the data points was checked manually prior to publishing. PurposeQueried a report from our I-Leads database, and referenced with actual case reports and Special Investigations Section data to complete. This data set is public information.Dataset ClassificationLevel 0 - OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Update FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

ACS_Population_Ward_2

For detailed information, visit the Tucson Equity Priority Index StoryMap.Download the Data DictionaryWhat is the Tucson Equity Priority Index (TEPI)?The Tucson Equity Priority Index (TEPI) is a tool that describes the distribution of socially vulnerable demographics. It categorizes the dataset into 5 classes that represent the differing prioritization needs based on the presence of social vulnerability: Low (0-20), Low-Moderate (20-40), Moderate (40-60), Moderate-High (60-80) High (80-100). Each class represents 20% of the dataset’s features in order of their values. The features within the Low (0-20) classification represent the areas that, when compared to all other locations in the study area, have the lowest need for prioritization, as they tend to have less socially vulnerable demographics. The features that fall into the High (80-100) classification represent the 20% of locations in the dataset that have the greatest need for prioritization, as they tend to have the highest proportions of socially vulnerable demographics. How is social vulnerability measured?The Tucson Equity Priority Index (TEPI) examines the proportion of vulnerability per feature using 11 demographic indicators:Income Below Poverty: Households with income at or below the federal poverty level (FPL), which in 2023 was $14,500 for an individual and $30,000 for a family of fourUnemployment: Measured as the percentage of unemployed persons in the civilian labor forceHousing Cost Burdened: Homeowners who spend more than 30% of their income on housing expenses, including mortgage, maintenance, and taxesRenter Cost Burdened: Renters who spend more than 30% of their income on rentNo Health Insurance: Those without private health insurance, Medicare, Medicaid, or any other plan or programNo Vehicle Access: Households without automobile, van, or truck accessHigh School Education or Less: Those highest level of educational attainment is a High School diploma, equivalency, or lessLimited English Ability: Those whose ability to speak English is "Less Than Well."People of Color: Those who identify as anything other than Non-Hispanic White Disability: Households with one or more physical or cognitive disabilities Age: Groups that tend to have higher levels of vulnerability, including children (those below 18), and seniors (those 65 and older)An overall percentile value is calculated for each feature based on the total proportion of the above indicators in each area. How are the variables combined?These indicators are divided into two main categories that we call Thematic Indices: Economic and Personal Characteristics. The two thematic indices are further divided into five sub-indices called Tier-2 Sub-Indices. Each Tier-2 Sub-Index contains 2-3 indicators. Indicators are the datasets used to measure vulnerability within each sub-index. The variables for each feature are re-scaled using the percentile normalization method, which converts them to the same scale using values between 0 to 100. The variables are then combined first into each of the five Tier-2 Sub-Indices, then the Thematic Indices, then the overall TEPI using the mean aggregation method and equal weighting. The resulting dataset is then divided into the five classes, where:High Vulnerability (80-100%): Representing the top classification, this category includes the highest 20% of regions that are the most socially vulnerable. These areas require the most focused attention. Moderate-High Vulnerability (60-80%): This upper-middle classification includes areas with higher levels of vulnerability compared to the median. While not the highest, these areas are more vulnerable than a majority of the dataset and should be considered for targeted interventions. Moderate Vulnerability (40-60%): Representing the middle or median quintile, this category includes areas of average vulnerability. These areas may show a balanced mix of high and low vulnerability. Detailed examination of specific indicators is recommended to understand the nuanced needs of these areas. Low-Moderate Vulnerability (20-40%): Falling into the lower-middle classification, this range includes areas that are less vulnerable than most but may still exhibit certain vulnerable characteristics. These areas typically have a mix of lower and higher indicators, with the lower values predominating. Low Vulnerability (0-20%): This category represents the bottom classification, encompassing the lowest 20% of data points. Areas in this range are the least vulnerable, making them the most resilient compared to all other features in the dataset.

ACS_Race_Ward_1

ACS_Education_Ward_3

ACS_Race_Ward_2

For detailed information, visit the Tucson Equity Priority Index StoryMap.Download the Data DictionaryWhat is the Tucson Equity Priority Index (TEPI)?The Tucson Equity Priority Index (TEPI) is a tool that describes the distribution of socially vulnerable demographics. It categorizes the dataset into 5 classes that represent the differing prioritization needs based on the presence of social vulnerability: Low (0-20), Low-Moderate (20-40), Moderate (40-60), Moderate-High (60-80) High (80-100). Each class represents 20% of the dataset’s features in order of their values. The features within the Low (0-20) classification represent the areas that, when compared to all other locations in the study area, have the lowest need for prioritization, as they tend to have less socially vulnerable demographics. The features that fall into the High (80-100) classification represent the 20% of locations in the dataset that have the greatest need for prioritization, as they tend to have the highest proportions of socially vulnerable demographics. How is social vulnerability measured?The Tucson Equity Priority Index (TEPI) examines the proportion of vulnerability per feature using 11 demographic indicators:Income Below Poverty: Households with income at or below the federal poverty level (FPL), which in 2023 was $14,500 for an individual and $30,000 for a family of fourUnemployment: Measured as the percentage of unemployed persons in the civilian labor forceHousing Cost Burdened: Homeowners who spend more than 30% of their income on housing expenses, including mortgage, maintenance, and taxesRenter Cost Burdened: Renters who spend more than 30% of their income on rentNo Health Insurance: Those without private health insurance, Medicare, Medicaid, or any other plan or programNo Vehicle Access: Households without automobile, van, or truck accessHigh School Education or Less: Those highest level of educational attainment is a High School diploma, equivalency, or lessLimited English Ability: Those whose ability to speak English is "Less Than Well."People of Color: Those who identify as anything other than Non-Hispanic White Disability: Households with one or more physical or cognitive disabilities Age: Groups that tend to have higher levels of vulnerability, including children (those below 18), and seniors (those 65 and older)An overall percentile value is calculated for each feature based on the total proportion of the above indicators in each area. How are the variables combined?These indicators are divided into two main categories that we call Thematic Indices: Economic and Personal Characteristics. The two thematic indices are further divided into five sub-indices called Tier-2 Sub-Indices. Each Tier-2 Sub-Index contains 2-3 indicators. Indicators are the datasets used to measure vulnerability within each sub-index. The variables for each feature are re-scaled using the percentile normalization method, which converts them to the same scale using values between 0 to 100. The variables are then combined first into each of the five Tier-2 Sub-Indices, then the Thematic Indices, then the overall TEPI using the mean aggregation method and equal weighting. The resulting dataset is then divided into the five classes, where:High Vulnerability (80-100%): Representing the top classification, this category includes the highest 20% of regions that are the most socially vulnerable. These areas require the most focused attention. Moderate-High Vulnerability (60-80%): This upper-middle classification includes areas with higher levels of vulnerability compared to the median. While not the highest, these areas are more vulnerable than a majority of the dataset and should be considered for targeted interventions. Moderate Vulnerability (40-60%): Representing the middle or median quintile, this category includes areas of average vulnerability. These areas may show a balanced mix of high and low vulnerability. Detailed examination of specific indicators is recommended to understand the nuanced needs of these areas. Low-Moderate Vulnerability (20-40%): Falling into the lower-middle classification, this range includes areas that are less vulnerable than most but may still exhibit certain vulnerable characteristics. These areas typically have a mix of lower and higher indicators, with the lower values predominating. Low Vulnerability (0-20%): This category represents the bottom classification, encompassing the lowest 20% of data points. Areas in this range are the least vulnerable, making them the most resilient compared to all other features in the dataset.

ACS_Education_Ward_5

Feature layer generated from running the Enrich layer solution. City of Tucson Wards - Open Data - WARD_COT were enriched

ACS_Education_Ward_1

ACS_Education_Ward_2

ACS_Race_Ward_4

ACS_Poverty_Ward_5

ACS_Poverty_Ward_1

ACS_Poverty_Ward_3

Spreadsheet of Hate/Bias related incidents occurring over the specified period reported to the Tucson Police Department, containing offense type, location type, victim and suspect information, TPD division, Zip Code and City of Tucson Ward number for each incident. The specific location is not reported to protect the rights of victims. This dataset only includes incidents reported within the City limits where a hate/bias nexus was determined to be an element of the incident. Specific victim and address information are not reported to protect the rights of victims. Each Hate/Bias crime is an incident in our records management system and reported to the Arizona Department of Public Safety (AZ DPS) each quarter. Each of the data points was checked manually prior to publishing. PurposeQueried a report from our I-Leads database, and referenced with actual case reports and Special Investigations Section data to complete. This data set is public information.Dataset ClassificationLevel 0 - OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Update FrequencyLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.

Use this tool to view maps and comparative statistics of the main indicators from the Poverty and Urban Stress Report: poverty, income, crime, race and education. See how the data vary across wards in Tucson and zoom in on areas of interest to you.This Story Map compiles multiple map-based dashboards to show statistics on income, poverty, education, and race by ward across Tucson. Users can use the ward filters at the top of each dashboard to view just the ward they are interested in, or compare one ward to another. Each map is interactive: when individual census tracts are selected, users get details about that tract and how it compares to the rest of the ward or county. Data for the maps and graphs are from American Community Survey, which has been apportioned by ward using ESRI's summarize within tool.

.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Lorem ipsum dolor sit amet consectetur adipiscing elit. Massa enim nec dui nunc. Quis commodo odio aenean sed adipiscing diam donec adipiscing. Nulla pellentesque dignissim enim sit amet venenatis urna. Sit amet volutpat consequat mauris nunc congue nisi vitae. Fames ac turpis egestas maecenas pharetra convallis posuere morbi leo. Morbi tristique senectus et netus et malesuada fames ac turpis. Eget lorem dolor sed viverra ipsum nunc. Id ornare arcu odio ut sem. Morbi leo urna molestie at elementum eu. In metus vulputate eu scelerisque. Lobortis mattis aliquam faucibus purus in massa tempor nec feugiat. Ut sem viverra aliquet eget sit amet tellus cras adipiscing. Lobortis mattis aliquam faucibus purus in massa tempor. Donec massa sapien faucibus et molestie ac feugiat. Et odio pellentesque diam volutpat commodo sed egestas egestas. Pharetra magna ac placerat vestibulum lectus. Fermentum leo vel orci porta non pulvinar neque laoreet suspendisseExamples of features mapped in this layer include:City Ward boundariesPurposeLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Dataset TypePolygonDefinition QueriesNoneSpecial ThemingNoneDataset ClassificationLevel 0 – OpenKnown UsesLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Known ErrorsLorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.Data ContactInformation Technology DepartmentGIS_IT@tucsonaz.govPublisher ContactInformation Technology DepartmentGIS_IT@tucsonaz.govUpdate FrequencyAs Needed