Society data

Alaska Native Regional Corporations (ANRC), Tribal Subdivisions, Federal American Indian Reservations, Off-Reservation Trust Lands (ORTL), State American Indian Reservations, Hawaiian Home Lands (HHL), Alaska Native Village Statistical Areas (ANVSA), Oklahoma Tribal Statistical Areas (OTSA), State Designated Tribal Statistical Areas (SDTSA), Tribal Designated Statistical Areas (TDSA), American Indian Joint-Use Areas (AIJUA); January 1, 2020 vintage

Polygon features representing American Indian Joint-Use Areas, published by the US Census Bureau. Each feature corresponds to a named area such as the Kaw/Ponca joint-use OTSA, with attributes for land and water area, population, and housing unit counts. Coverage is limited to the United States.

Polygon features representing Tribal Designated Statistical Areas, published by the US Census Bureau. Each feature corresponds to a named area such as the Cayuga Nation TDSA, with attributes for land and water area, population, and housing unit counts. Coverage is limited to the United States.

Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows children by age group by parents' labor force participation. This is shown by tract, county, and state boundaries. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.   This layer is symbolized to show the percent of children with no available (residential) parent in the labor force.  To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left.  Vintage: 2019-2023ACS Table(s): B23008Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov  The United States Census Bureau's American Community Survey (ACS):About the Survey   Geography & ACS   Technical Documentation   News & Updates   This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data. Data Note from the Census:  Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data).  The effect of nonsampling error is not represented in these tables. Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases. Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.   The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate.   The data for this geographic area cannot be displayed because the number of sample cases is too small.

Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows computer ownership and internet access by employment. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.   This layer is symbolized to show the count of total working-age population (16+) in households and the percent who live in households with no computer. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left.  Vintage: 2019-2023ACS Table(s): B28007Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov  The United States Census Bureau's American Community Survey (ACS):About the Survey   Geography & ACS   Technical Documentation   News & Updates   This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data. Data Note from the Census:  Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data).  The effect of nonsampling error is not represented in these tables. Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.   Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters).  The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico   Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99).   Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.   The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate.   The data for this geographic area cannot be displayed because the number of sample cases is too small.

Alaska Native Regional Corporations (ANRC), American Indian Reservations (AIR), Hawaiian Home Lands (HHL), Alaska Native Village Statistical Areas (ANVSA), Oklahoma Tribal Statistical Areas (OTSA), State Designated Tribal Statistical Areas (SDTSA), Tribal Designated Statistical Areas (TDSA), American Indian Joint-Use Areas (AIJUA); January 1, 2023 vintage; Generalized

Alaska Native Regional Corporations (ANRC), American Indian Reservations (AIR), Hawaiian Home Lands (HHL), Alaska Native Village Statistical Areas (ANVSA), Oklahoma Tribal Statistical Areas (OTSA), State Designated Tribal Statistical Areas (SDTSA), Tribal Designated Statistical Areas (TDSA), American Indian Joint-Use Areas (AIJUA); January 1, 2022 vintage; Generalized

Alaska Native Regional Corporations (ANRC), American Indian Reservations (AIR), Hawaiian Home Lands (HHL), Alaska Native Village Statistical Areas (ANVSA), Oklahoma Tribal Statistical Areas (OTSA), State Designated Tribal Statistical Areas (SDTSA), Tribal Designated Statistical Areas (TDSA), American Indian Joint-Use Areas (AIJUA); January 1, 2015 vintage; Generalized

Polygon features representing State Designated Tribal Statistical Areas, published by the US Census Bureau. Each feature corresponds to a named area such as the Nanticoke Lenni Lenape SDTSA, with attributes for land and water area, population, and housing unit counts. Coverage is limited to the United States.

Visão geral Este serviço de feições reúne informações socioeconômicas e territoriais para as Regiões Administrativas do Município do Rio de Janeiro, com foco em indicadores do Índice de Desenvolvimento Social referentes ao ano de 2010. O conteúdo apoia análises espaciais sobre condições de vida, infraestrutura urbana e distribuição territorial do desenvolvimento social. Conteúdo da camada A camada apresenta as Regiões Administrativas como unidades territoriais e agrega indicadores associados a temas como renda, analfabetismo, saneamento, abastecimento de água, coleta de lixo, banheiros domiciliares e características demográficas. Também inclui identificadores administrativos e atributos de referência territorial usados para vincular os registros à estrutura municipal. Usos recomendados Análise da distribuição espacial do desenvolvimento social no Rio de Janeiro. Levantamento de desigualdades territoriais associadas a renda, escolaridade e infraestrutura básica. Apoio a estudos urbanos, planejamento público e monitoramento de políticas sociais. Visualização temática em aplicativos e painéis GIS.

Metropolitan and Micropolitan Statistical Areas and Related Statistical Areas: Metropolitan NECTAs, Micropolitan NECTAs, Combined Statistical Areas, Metropolitan Statistical Areas, Micropolitan Statistical Areas; January 1, 2015 vintage; Generalized

Outdoor gym on public land managed by the city of Malmö. The dataset meets the mandatory attributes of the national specification for outdoor gyms, https://lankadedata.se/spec/utegym/.

City Cemetery Information for burials after 1979. Source Link: https://www.nashville.gov/departments/historic-preservation/additional-resources/nashville-city-cemeteryMetadata Document: Historic-Nashville-City-Cemetry-Interments-1980-Present.PDFContact Data Owner: opendata@nashville.gov

Alaska Native Regional Corporations (ANRC), Tribal Subdivisions, Federal American Indian Reservations, Off-Reservation Trust Lands (ORTL), State American Indian Reservations, Hawaiian Home Lands (HHL), Alaska Native Village Statistical Areas (ANVSA), Oklahoma Tribal Statistical Areas (OTSA), State Designated Tribal Statistical Areas (SDTSA), Tribal Designated Statistical Areas (TDSA), American Indian Joint-Use Areas (AIJUA); January 1, 2020 vintage

Alaska Native Regional Corporations (ANRC), Tribal Subdivisions, Federal American Indian Reservations, Off-Reservation Trust Lands (ORTL), State American Indian Reservations, Hawaiian Home Lands (HHL), Alaska Native Village Statistical Areas (ANVSA), Oklahoma Tribal Statistical Areas (OTSA), State Designated Tribal Statistical Areas (SDTSA), Tribal Designated Statistical Areas (TDSA), American Indian Joint-Use Areas (AIJUA); January 1, 2020 vintage

L'any 1996 l'antiga Caixa d'Estalvis Comarcal de Manlleu celebrava el seu centenari. Per a commemorar aquest fet es van dissenyar i col·locar plaques descriptives als edificis i espais emblemàtics de Manlleu com a testimoni de l'evolució de la història social i industrial de la ciutat. Situació de les 43 plaques de l'Itinerari Urbà de la Història de Manlleu (Textos plaques: Joaquim Albareda​/Disseny plaques: Joan Cabanas) - Font: Servei de Cultura - Actualització: tancat - Formats:

Alaska Native Regional Corporations (ANRC), American Indian Reservations (AIR), Hawaiian Home Lands (HHL), Alaska Native Village Statistical Areas (ANVSA), Oklahoma Tribal Statistical Areas (OTSA), State Designated Tribal Statistical Areas (SDTSA), Tribal Designated Statistical Areas (TDSA), American Indian Joint-Use Areas (AIJUA); January 1, 2015 vintage; Generalized

Table of repealed legislation documents and links to the pdf documents.The data was compiled by the office of the Municipal Clerk to provide access to repealed legislation documents.Metadata

Alaska Native Regional Corporations (ANRC), Tribal Subdivisions, Federal American Indian Reservations, Off-Reservation Trust Lands (ORTL), State American Indian Reservations, Hawaiian Home Lands (HHL), Alaska Native Village Statistical Areas (ANVSA), Oklahoma Tribal Statistical Areas (OTSA), State Designated Tribal Statistical Areas (SDTSA), Tribal Designated Statistical Areas (TDSA), American Indian Joint-Use Areas (AIJUA); January 1, 2020 vintage

Alaska Native Regional Corporations (ANRC), American Indian Reservations (AIR), Hawaiian Home Lands (HHL), Alaska Native Village Statistical Areas (ANVSA), Oklahoma Tribal Statistical Areas (OTSA), State Designated Tribal Statistical Areas (SDTSA), Tribal Designated Statistical Areas (TDSA), American Indian Joint-Use Areas (AIJUA); January 1, 2015 vintage; Generalized

Alaska Native Regional Corporations (ANRC), Tribal Subdivisions, Federal American Indian Reservations, Off-Reservation Trust Lands (ORTL), State American Indian Reservations, Hawaiian Home Lands (HHL), Alaska Native Village Statistical Areas (ANVSA), Oklahoma Tribal Statistical Areas (OTSA), State Designated Tribal Statistical Areas (SDTSA), Tribal Designated Statistical Areas (TDSA), American Indian Joint-Use Areas (AIJUA); January 1, 2020 vintage

Alaska Native Regional Corporations (ANRC), American Indian Reservations (AIR), Hawaiian Home Lands (HHL), Alaska Native Village Statistical Areas (ANVSA), Oklahoma Tribal Statistical Areas (OTSA), State Designated Tribal Statistical Areas (SDTSA), Tribal Designated Statistical Areas (TDSA), American Indian Joint-Use Areas (AIJUA); January 1, 2015 vintage; Generalized

Retirement Notice: This item is in mature support as of February 2026 and will retire in December 2027. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. This layer shows computer ownership and internet access by education. This is shown by tract, county, and state centroids. This service is updated annually to contain the most currently released American Community Survey (ACS) 5-year data, and contains estimates and margins of error. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.   This layer is symbolized to show the count of people age 25+ in households with no computer and the percent of the population age 25+ who are high school graduates (includes equivalency) and have some college or associate's degree in households that have no computer. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top left.   Vintage: 2019-2023ACS Table(s): B28006Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.gov  The United States Census Bureau's American Community Survey (ACS):About the Survey   Geography & ACS   Technical Documentation   News & Updates   This ready-to-use layer can be used within ArcGIS Pro, ArcGIS Online, its configurable apps, dashboards, Story Maps, custom apps, and mobile apps. Data can also be exported for offline workflows. For more information about ACS layers, visit the FAQ. Please cite the Census and ACS when using this data. Data Note from the Census:  Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data).  The effect of nonsampling error is not represented in these tables. Data Processing Notes:This layer is updated automatically when the most current vintage of ACS data is released each year, usually in December. The layer always contains the latest available ACS 5-year estimates. It is updated annually within days of the Census Bureau's release schedule. Click here to learn more about ACS data releases.   Boundaries come from the US Census TIGER geodatabases, specifically, the National Sub-State Geography Database (named tlgdb_(year)_a_us_substategeo.gdb). Boundaries are updated at the same time as the data updates (annually), and the boundary vintage appropriately matches the data vintage as specified by the Census. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For census tracts, the water cutouts are derived from a subset of the 2020 Areal Hydrography boundaries offered by TIGER. Water bodies and rivers which are 50 million square meters or larger (mid to large sized water bodies) are erased from the tract level boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2023 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). The States layer contains 52 records - all US states, Washington D.C., and Puerto Rico Census tracts with no population that occur in areas of water, such as oceans, are removed from this data service (Census Tracts beginning with 99). Percentages and derived counts, and associated margins of error, are calculated values (that can be identified by the "_calc_" stub in the field name), and abide by the specifications defined by the American Community Survey. Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page.   Negative values (e.g., -4444...) have been set to null, with the exception of -5555... which has been set to zero. These negative values exist in the raw API data to indicate the following situations:The margin of error column indicates that either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate. Either no sample observations or too few sample observations were available to compute an estimate, or a ratio of medians cannot be calculated because one or both of the median estimates falls in the lowest interval or upper interval of an open-ended distribution.   The median falls in the lowest interval of an open-ended distribution, or in the upper interval of an open-ended distribution. A statistical test is not appropriate. The estimate is controlled. A statistical test for sampling variability is not appropriate.   The data for this geographic area cannot be displayed because the number of sample cases is too small.

This dataset comes from Annual Community Survey questions related to whether residents have been victims of a crime. Respondents are asked the following questions: a) "Have you been robbed, physically assaulted, or sexually assaulted in past 6 months?" or, b) "Has anyone in your household age 12 or older had a vehicle stolen, property or cash stolen, or has your household been burglarized in past 6 months?” Please note that the survey question has been restructured over time to better help determine priorities for the community. The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level. This page provides data for the Victim of Crime performance measure.  The performance measure dashboard is available at 1.09 Victim of Crime   Data Dictionary   Additional Information   Source: Community Attitude Survey Contact:  Wydale Holmes Contact E-Mail: Wydale_Holmes@tempe.gov Data Source Type:  CSV Preparation Method:  Data received from vendor and entered into CSV Publish Frequency:  Annual Publish Method: Manual

Contains event date records used to support date filtering within the Orange Shirt Day Events application. Event details are maintained in the associated event datasets.

The House Charlotte plus program is an additional down payment assistance program specific usage only in the corridors of opportunity areas of influence areas. The data set of the corridors of opportunity areas of influence data set will used for the House Charlotte plus designated areas.

ACS 2015 Legal and Statistical Entities Web Map Service; January 1, 2015 vintage

ACS 2015 Legal and Statistical Entities Web Map Service; January 1, 2015 vintage

ACS 2015 Legal and Statistical Entities Web Map Service; January 1, 2015 vintage

The Who does What Where (3W) is a core humanitarian coordination dataset. It is critical to know where humanitarian organizations are working, what they are doing and their capability in order to identify gaps, avoid duplication of efforts, and plan for future humanitarian response (if needed).

Humanitarian Data

The Gender Equality Monitoring (GEM) platform offers open access to officially published data and periodically updated sex disaggregated data repository. It visualizes gender gaps at subnational level in various sectors such as education, health, employment, access to information, intra-household decision making, political participation, as well as gender inequality index (GII). These are starting points to further explore the causes and more complex dynamics of gender inequality. For more information, visit the ADPC Gender Equality Monitor.

The Gender Equality Monitoring (GEM) platform offers open access to officially published data and periodically updated sex disaggregated data repository. It visualizes gender gaps at subnational level in various sectors such as education, health, employment, access to information, intra-household decision making, political participation, as well as gender inequality index (GII). These are starting points to further explore the causes and more complex dynamics of gender inequality. For more information, visit the ADPC Gender Equality Monitor.

All 311 Requests from year 2009. This is historical data and will not be updated.

This dataset includes the names, types, statuses, and coordinates of international border crossings of Ukraine with Belarus, Hungary, Moldova, Poland, Romania, Russian Federation and Slovakia. The names of the border crossings are in English and Ukrainian.

The Gender Equality Monitoring (GEM) platform offers open access to officially published data and periodically updated sex disaggregated data repository. It visualizes gender gaps at subnational level in various sectors such as education, health, employment, access to information, intra-household decision making, political participation, as well as gender inequality index (GII). These are starting points to further explore the causes and more complex dynamics of gender inequality. For more information, visit the ADPC Gender Equality Monitor.