Employment, Commuting, Occupation, Income, Health Insurance, Poverty, and more. This service is updated annually with American Community Survey (ACS) 5-year data. Contact: District of Columbia, Office of Planning. Email: planning@dc.gov. Geography: Census Tracts. Current Vintage: 2019-2023. ACS Table(s): DP03. Data downloaded from: Census Bureau's API for American Community Survey. Date of API call: January 2, 2025. National Figures: data.census.gov. 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. Boundaries come from the US Census TIGER geodatabases. 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 clipped for cartographic purposes. For census tracts, the water cutouts are derived from a subset of the 2020 AWATER (Area Water) boundaries offered by TIGER. For state and county boundaries, the water and coastlines are derived from the coastlines of the 500k TIGER Cartographic Boundary Shapefiles. The original AWATER and ALAND fields are still available as attributes within the data table (units are square meters). Field alias names were created based on the Table Shells file available from the American Community Survey Summary File Documentation page. Data processed using R statistical package and ArcGIS Desktop. Margin of Error was not included in this layer but is available from the Census Bureau. Contact the Office of Planning for more information about obtaining Margin of Error values.

The coastal path must allow pedestrians to reach the shoreline of the sea and to walk as long as possible along the coastline. It refers to the entire route open along the sea. It does not have a single legal status because it consists of sections of a different legal nature. Depending on the nature of the land bordering the public maritime domain, the trail passes over the public domain of the State or local authorities, or private property. The entire coastal pathway includes the pedestrian-open pathway, the short-term study or accessible trail line, and the inaccessible coastline. The sections are one of the main elements for identifying the location, route and use of the coastal trail. This route concerns the department of Ille and naughty and partly the Côtes d’Armor for the perimeter of the Rance.

NOTE: This dataset is an older dataset that we have removed from the SGID and 'shelved' in ArcGIS Online. There may (or may not) be a newer vintage of this dataset in the SGID. This is a graphic representation of the data stewards based on PLSS Townships in PLSS areas. In non-PLSS areas the metadata at a glance is based on a data steward defined polygons such as a city or county or other units. The identification of the data steward is a general indication of the agency that will be responsible for updates and providing the authoritative data sources. In other implementations this may have been termed the alternate source, meaning alternate to the BLM. But in the shared environment of the NSDI the data steward for an area is the primary coordinator or agency responsible for making updates or causing updates to be made. The data stewardship polygons are defined and provided by the data steward. Updated 10/15/2019

Wirestock's AI/ML Image Training Data, 4.5M Files with Metadata: This data product is a unique offering in the realm of AI/ML training data. What sets it apart is the sheer volume and diversity of the dataset, which includes 4.5 million files spanning across 20 different categories. These categories range from Animals/Wildlife and The Arts to Technology and Transportation, providing a rich and varied dataset for AI/ML applications.

The data is sourced from Wirestock's platform, where creators upload and sell their photos, videos, and AI art online. This means that the data is not only vast but also constantly updated, ensuring a fresh and relevant dataset for your AI/ML needs. The data is collected in a GDPR-compliant manner, ensuring the privacy and rights of the creators are respected.

The primary use-cases for this data product are numerous. It is ideal for training machine learning models for image recognition, improving computer vision algorithms, and enhancing AI applications in various industries such as retail, healthcare, and transportation. The diversity of the dataset also means it can be used for more niche applications, such as training AI to recognize specific objects or scenes.

This data product fits into Wirestock's broader data offering as a key resource for AI/ML training. Wirestock is a platform for creators to sell their work, and this dataset is a collection of that work. It represents the breadth and depth of content available on Wirestock, making it a valuable resource for any company working with AI/ML.

The core benefits of this dataset are its volume, diversity, and quality. With 4.5 million files, it provides a vast resource for AI training. The diversity of the dataset, spanning 20 categories, ensures a wide range of images for training purposes. The quality of the images is also high, as they are sourced from creators selling their work on Wirestock.

In terms of how the data is collected, creators upload their work to Wirestock, where it is then sold on various marketplaces. This means the data is sourced directly from creators, ensuring a diverse and unique dataset. The data includes both the images themselves and associated metadata, providing additional context for each image.

The different image categories included in this dataset are Animals/Wildlife, The Arts, Backgrounds/Textures, Beauty/Fashion, Buildings/Landmarks, Business/Finance, Celebrities, Education, Emotions, Food Drinks, Holidays, Industrial, Interiors, Nature Parks/Outdoor, People, Religion, Science, Signs/Symbols, Sports/Recreation, Technology, Transportation, Vintage, Healthcare/Medical, Objects, and Miscellaneous. This wide range of categories ensures a diverse dataset that can cater to a variety of AI/ML applications.

TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.

This dataset lists all the information related to the area of housing by municipality in the Provence Alpes-Côte d'Azur region in 2015. The data are sourced from INSEE, RP main farm and they are extracted from "Our Territory", an interactive statistical mapping tool operated by the Provence Alpes-Côte d'Azur Region. The suf_lgt.xls dataset includes the following indicators: - surface area of dwellings of less than 25 m2 - surface area of dwellings of 25 to less than 40 m2 - surface area of dwellings of 40 to less than 70 m2 - surface area of dwellings of 70 to less than 100 m2 - surface area of dwellings of 100 to less than 150 m2 - surface area of dwellings of 150 m2 or more About the indicators: * The meaning, source and vintage of each indicator are detailed in a spreadsheet of the dataset, one tab per indicator. * The "Data" tab contains the data itself. The data from this tab is available in the preview and by API. These data can be viewed on the Our Territory application, an interactive statistical mapping tool operated by the Provence Alpes-Côte d'Azur Region. It provides the institution’s partners and the general public with a set of resources for knowledge of the territory and makes it possible to obtain figures and personalise its own maps. It contains the essential data to understand territorial dynamics (more than 3000 indicators) https://ourreterritoire.maregionsud.fr/

TIGER, TIGER/Line, and Census TIGER are registered trademarks of the Bureau of the Census. The Redistricting Census 2000 TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER data base. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on January 1, 2000 legal boundaries. A complete set of Redistricting Census 2000 TIGER/Line files includes all counties and statistically equivalent entities in the United States and Puerto Rico. The Redistricting Census 2000 TIGER/Line files will not include files for the Island Areas. The Census TIGER data base represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The Redistricting Census 2000 TIGER/Line files consist of line segments representing physical features and governmental and statistical boundaries. The Redistricting Census 2000 TIGER/Line files do NOT contain the ZIP Code Tabulation Areas (ZCTAs) and the address ranges are of approximately the same vintage as those appearing in the 1999 TIGER/Line files. That is, the Census Bureau is producing the Redistricting Census 2000 TIGER/Line files in advance of the computer processing that will ensure that the address ranges in the TIGER/Line files agree with the final Master Address File (MAF) used for tabulating Census 2000. The files contain information distributed over a series of record types for the spatial objects of a county. There are 17 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, key geographic features, and area boundaries. The Redistricting Census 2000 TIGER/Line data dictionary contains a complete list of all the fields in the 17 record types.

Annual Resident Population Estimates by Age Group, Sex, Race, and Hispanic Origin: April 1, 2010 to July 1, 2018 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through June. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. For more information, see https://www2.census.gov/programs-surveys/popest/technical-documentation/methodology/modified-race-summary-file-method/mrsf2010.pdf. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/programs-surveys/popest/technical-documentation/methodology.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2017) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/programs-surveys/popest.html.

The coastal path must allow pedestrians to reach the shoreline of the sea and to walk as long as possible along the coastline. It refers to the entire route open along the sea. It does not have a single legal status because it consists of sections of a different legal nature. Depending on the nature of the land bordering the public maritime domain, the trail passes over the public domain of the State or local authorities, or private property. The entire coastal pathway includes the pedestrian-open pathway, the short-term study or accessible trail line, and the inaccessible coastline. The sections are one of the main elements for identifying the location, route and use of the coastal trail. This route concerns the department of Ille and naughty and partly the Côtes d’Armor for the perimeter of the Rance.

This layer shows median household income by race and by age of householder. 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. Median income and income source is based on income in past 12 months of survey. This layer is symbolized to show median household income. To see the full list of attributes available in this service, go to the "Data" tab, and choose "Fields" at the top right. Current Vintage: 2019-2023ACS Table(s): B19013B, B19013C, B19013D, B19013E, B19013F, B19013G, B19013H, B19013I, B19049, B19053Data downloaded from: Census Bureau's API for American Community Survey Date of API call: December 12, 2024National Figures: data.census.govThe United States Census Bureau's American Community Survey (ACS):About the SurveyGeography & ACSTechnical DocumentationNews & UpdatesThis 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 RicoCensus 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.

N_RGC_FE_Delestage_Fus_l_en: Sections of roads forming the network of high-traffic roads — Let’s start being selected as load-off itineraries. the national roads defined in article L. 123-1 of the Highways Code and referred to by the Decree of 5 December 2005 referred to above; the roads listed in the annex to the decree in force the shoulder straps connecting either two sections of highways with high traffic, or a section of the highway with high traffic and one motorway.“Bretelle” means a route connecting two roads which cross at different levels. unknown genealogy date of revision not known Sources: ©IGN BD-TOPO® vintage unknownN_RGC_FE_Delestage_Fus_l_en: Sections of roads forming the network of high-traffic roads — Let’s start being selected as load-off itineraries. the national roads defined in article L. 123-1 of the Highways Code and referred to by the Decree of 5 December 2005 referred to above; the roads listed in the annex to the decree in force the shoulder straps connecting either two sections of highways with high traffic, or a section of the highway with high traffic and one motorway. “Bretelle” means a route connecting two roads which cross at different levels. unknown genealogy date of revision not known Sources: ©IGN BD-TOPO® vintage unknownSections of roads forming the network of high-traffic roads — Let’s start being selected as load-off itineraries. the national roads defined in article L. 123-1 of the Highways Code and referred to by the Decree of 5 December 2005 referred to above; the roads listed in the annex to the decree in force the shoulder straps connecting either two sections of highways with high traffic, or a section of the highway with high traffic and one motorway. “Bretelle” means a route connecting two roads which cross at different levels. unknown genealogy date of revision not known Sources: ©IGN BD-TOPO® vintage unknown

This dataset lists the population by municipality and age group in the Provence Alpes-Côte d'Azur Region in 2015. The data are sourced from INSEE, RP main farm and they are extracted from "Our Territory", an interactive statistical mapping tool operated by the Provence Alpes-Côte d'Azur Region. The pop_age.xls dataset includes the following indicators: * Municipal population * Number of people aged 0 to 14 * Number of people aged 15 to 29 * Number of people aged 15 to 29 * Number of people aged 30 to 44 * Number of people aged 45 to 59 * Number of people aged 60 to 74 About the indicators: - The meaning, source and vintage of each indicator are detailed in a spreadsheet of the dataset. - The "Data" tab contains the data itself. The data from this tab is available in the preview and by API. These data can be viewed on the Our Territory application, an interactive statistical mapping tool operated by the Provence Alpes-Côte d'Azur Region. It provides the institution’s partners and the general public with a set of resources for knowledge of the territory and makes it possible to obtain figures and personalise its own maps. It contains the essential data to understand territorial dynamics (more than 3000 indicators) https://ourreterritoire.maregionsud.fr/

N_RGC_FE_TR_Except_Fus_l_en: Sections of roads forming the network of high-traffic roads — Sections selected for exceptional transport The highways defined in Article L. 110-3 of the Highway Code are: the national roads defined in article L. 123-1 of the Highways Code and referred to by the Decree of 5 December 2005 referred to above; the roads listed in the annex to the decree in force the shoulder straps connecting either two sections of highways with high traffic, or a section of the highway with high traffic and one motorway.“Bretelle” means a route connecting two roads which cross at different levels. unknown genealogy date of revision not known Sources: ©IGN BD-TOPO® vintage unknownN_RGC_FE_TR_Except_Fus_l_en: Sections of roads forming the network of high-traffic roads — Sections selected for exceptional transport The highways defined in Article L. 110-3 of the Highway Code are: the national roads defined in article L. 123-1 of the Highways Code and referred to by the Decree of 5 December 2005 referred to above; the roads listed in the annex to the decree in force the shoulder straps connecting either two sections of highways with high traffic, or a section of the highway with high traffic and one motorway. “Bretelle” means a route connecting two roads which cross at different levels. unknown genealogy date of revision not known Sources: ©IGN BD-TOPO® vintage unknown

This dataset lists the population by municipality in the Provence Alpes-Côte D'Azur region from 2009 to 2016. The data comes from INSEE, RP Legal Populations and they are extracted from "Our Territory", an interactive statistical mapping tool operated by the Provence Alpes-Côte d'Azur Region. The pop_historical.xls dataset contains the following indicators: * area * municipal population (2016 - 2009) * youth population index 2015 * average population density 2016 * population aging index 2015 About the indicators * The meaning, source and vintage of each indicator are detailed in a spreadsheet of the dataset, one tab per indicator. * The "Data" tab contains the data itself. The data from this tab is available in the preview and by API. These data can be viewed on the Our Territory application, an interactive statistical mapping tool operated by the Provence Alpes-Côte d'Azur Region. It provides the institution’s partners and the general public with a set of resources for knowledge of the territory and makes it possible to obtain figures and personalise its own maps. It contains the essential data to understand territorial dynamics (more than 3000 indicators) https://ourreterritoire.maregionsud.fr

Annual Resident Population Estimates by Age Group, Sex, Race, and Hispanic Origin; for the United States, States, Counties; and for Puerto Rico and its Municipios: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through June. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // Current data on births, deaths, and migration are used to calculate population change since the 2010 Census. An annual time series of estimates is produced, beginning with the census and extending to the vintage year. The vintage year (e.g., Vintage 2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html.