This dataset contains the results of EPAs estimates for domestic water supply in The United States for 2020 census blocks. The file is a comma-delimited text file, which contains records for 2020 census blocks. This data can be used to estimate the number of housing units and populations that are estimated to be using either private water supplies such as domestic wells or connected to a community water system. These results are estimates and should not be used to convey exact counts of well or public water users. For a full description of the data, please refer to the GitHub page: https://res1githubd-o-tcom.vcapture.xyz/USEPA/ORD_Water_Source_2020/tree/main/outputs.

Census Tracts from the 2020 US Census for New York City including portions under water. These boundary files are derived from the US Census Bureau's TIGER project and have been geographically modified to fit the New York City base map. All previously released versions of this data are available on the DCP Website: BYTES of the BIG APPLE. Current version: 25c

This child item describes Python code used to query census data from the TigerWeb Representational State Transfer (REST) services and the U.S. Census Bureau Application Programming Interface (API). These data were needed as input feature variables for a machine learning model to predict public supply water use for the conterminous United States. Census data were retrieved for public-supply water service areas, but the census data collector could be used to retrieve data for other areas of interest. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Data retrieved by the census data collector code were used as input features in the public supply delivery and water use machine learning models. This page includes the following file: census_data_collector.zip - a zip file containing the census data collector Python code used to retrieve data from the U.S. Census Bureau and a README file.

According to the official Statement: The first census of water bodies was conducted with the reference year 2017-18 across the country in 33 States/UTs except Daman & Diu, Dadra & Nagar Haveli and Lakshadweep. The objective of the 1st Census of Water Bodies is to have a comprehensive national database of all water bodies by collecting information on all important aspects of the water body including their type, condition, status of encroachments, use, storage capacity, status of filling up of storage etc. The census also took into account all types of uses of water bodies like irrigation, industry, pisciculture, domestic/ drinking, recreation, religious, groundwater recharge etc.

The contributors to this official data creation are Department of Water Resources, River Development & Ganga Rejuvenation.

The dataset is released under National Data Sharing and Accessibility Policy (NDSAP) India

Source - https://data.gov.in/catalog/first-census-water-bodies-data

Graph and download economic data for Total Construction Spending: Water Supply in the United States (TLWSCON) from Jan 2002 to Jun 2025 about water, supplies, expenditures, construction, and USA.

The National Water Census is a USGS research program on national water availability and use that develops new water accounting tools and assesses water availability at the regional and national scales. Through the Water Census, USGS is integrating diverse research on water availability and use and enhancing the understanding of connection between water quality and water availability. Research is designed to build decision support capacity for water management agencies and other natural resource managers.

The following data were used for the Department of Water Resources' (DWR) Disadvantaged Communities (DAC) Mapping Tool: https://gis.water.ca.gov/app/dacs/. The data source is from the US Census (American Community Survey), that may include attribute table additions by DWR. The DAC Mapping Tool was designed, and the related datasets made publicly available, to assist in the evaluation of DACs throughout the state, as may relate to the various Grant Programs within the Financial Assistance Branch (FAB) at DWR. The definition of DAC may vary by grant program (within FAB, DWR or grant programs of other public agencies). As such, users should be familiar with the specific requirements for meeting DAC status, based on the particular grant solicitation/program of interest.

For more information related to the Grant Programs within the Financial Assistance Branch, visit: https://water.ca.gov/Work-With-Us/Grants-And-Loans/IRWM-Grant-Programs https://water.ca.gov/Work-With-Us/Grants-And-Loans/Sustainable-Groundwater

Additional questions or requests for information related to the DAC datasets (or the DAC Mapping Tool) should be directed to: dwr_irwm@water.ca.gov.

For more information on DWR's FAB programs, please visit: https://water.ca.gov/Work-With-Us/Grants-And-Loans/IRWM-Grant-Programs

Location of the wells of the underground water census and the catalog of private waters. Administrative registry of groundwater concessionsmanagement (CAS), water catalog (CAT), water registry (REG), requestsfor groundwater lighting and exploitation (AAS), wellsof ground water, groundwater research (IAS), water catalog in accordance with the "Programa d'Actualització de Registres i Catàleg d'Aprofitaments ARYCA" (ACA), water registry in accordance with the "Programa d'Actualització de Registres i Catàleg d'Aprofitaments ARYCA" (ARE), authorizations of the Hydraulic Service of the Balearic Islands (SHA_REGIMEN TRANSITORIO AAS), concessions of the Hydraulic Service of the Balearic Islands (SHB_REGIMEN TRANSITORIO CAS) and others.

Data from the Jal Dharohar Water bodies census conducted by the Department of Water Resources, River Development and Ganga Rejuvenation. The census was conducted in 2018-19 and the data released in 2023.

Abstract

Dataset quality ***: High quality dataset that was created by and quality-checked by the EIDC team

This dataset identifies the communities served by water systems across the U.S., based on the very first national dataset of drinking water service area boundaries (SAB) provided by the Environmental Policy Innovation Center (EPIC). The dataset leverages the a raster approach developed by the EIDC team and provides crosswalking weights to link water service area boundaries with census geography. This alignment allows for the computation of census demographics within water service areas, providing valuable insights into the populations served by these water systems.

Methodology

The crosswalking data is generated using a fine-tuned raster approach, which is designed to realign mismatched geographical units. This approach utilizes a high resolution raster layer of population density to map water service areas and census geography. Essentially, this realignment is based on population density residing within the overlapping areas between water service areas and census blocks. In other words, the realignment is adjusted to more accurately reflect the distribution of the population within these areas. The final output of this process is a set of crosswalking weights from census blocks to water service areas. These weights represent the proportion of the population within each census block that falls within a given water service area.

The current version of the data is based on SimpleLab, EPIC (2022). U.S. Community Water Systems Service Boundaries, v2.0.0, HydroShare.

Usage

Crosswalk Weights from Census to Service Area Bounds is the crosswalking file from census blocks to water service area boundaries. Each water service area (identified by PWSID) is matched with one or more census blocks. WEIGHT can be applied to calculate the weighted estimates from census data to the water service area.

Demographics for Service Area Bounds includes the information of the water service areas provided by EPIC and some pre-supplied race-ethnicity and income information calculated using the cross-walking weights.

Census 2014 data containing the Living Condition variables (drinking Water here). This data is disagregated by female/male-headed households, urban/rural and both categories. It has indicators such as: Percentage of households using improved water for drinking.

Graph and download economic data for Total Public Construction Spending: Water Supply in the United States (PBWSCON) from Jan 2002 to Jun 2025 about water, public, supplies, expenditures, construction, and USA.

The 2018 Irrigation and Water Management Survey (formerly called the Farm and Ranch Irrigation Survey) is a follow-on to the 2017 Census of Agriculture by the U.S. Department of Agriculture (USDA). This survey provides the only comprehensive information on irrigation activities and water use across American farms, ranches, and horticultural operations. In responding to the survey, producers provide information on topics such as water sources and amount of water used, acres irrigated by type of system, irrigation and yield by crop, and system investments and energy costs. The full reports for the 2003, 2008, 2017, and 2018 surveys are provided in this submission. By following the link to the USDA Census of Irrigation, a specific year can be selected, in which the tables and figures of each report are provided.

Egypt Number of Buildings: Census: With Access to Water: Public: Urban: Giza data was reported at 442,426.000 Unit in 2017. This records an increase from the previous number of 195,504.000 Unit for 2006. Egypt Number of Buildings: Census: With Access to Water: Public: Urban: Giza data is updated yearly, averaging 180,310.000 Unit from Dec 1986 (Median) to 2017, with 4 observations. The data reached an all-time high of 442,426.000 Unit in 2017 and a record low of 98,149.000 Unit in 1986. Egypt Number of Buildings: Census: With Access to Water: Public: Urban: Giza data remains active status in CEIC and is reported by Central Agency for Public Mobilization and Statistics. The data is categorized under Global Database’s Egypt – Table EG.EB002: Number of Buildings: Census: With Access to Water.

According to the U.S. Geological Survey, an estimated 258 million people nationwide, or 86% of the U.S. population, relied on public water supplies for their household use in 2005 (USGS, 2013). The remaining population obtains their water from different sources, such as a domestic self-supply well. However, the spatial distribution of water supply systems has not been compiled. Mapping where these people are located can be done within a GIS (Geographic Information System). The approach used takes into account a number of different attributes gathered from the United States Census Bureau for the block group and block shapes within the Delaware River Basin.

As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). Two reports were used with city- or water supply authority- level domestic water demand data, in addition to county level data. The 2013 Jefferson County Data Book provides detailed publicly, privately, and self supplied water use and population served for 2013 and covers the Jefferson County, MO portion of the EnviroAtlas study area. The 2019 Census of Missouri Public Water Systems provides detailed publicly supplied water use and population served for 2019 and covers all of Missouri. The 2010 USGS Estimated Use of Water in the United States in 2010 report covers the missing areas, including counties in Illinois within the study area. Data from these reports were weighted across publicly, privately, and self-supplied sources by population served, resulting in a single water use estimate between 25 and 427 GPD for each of the subregions in the study area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

2020 Census Blocks (water areas included) from the US Census for New York City. These boundary files are derived from the US Census Bureau's TIGER data products and have been geographically modified to fit the New York City base map. All previously released versions of this data are available at BYTES of the BIG APPLE- Archive.

As included in this EnviroAtlas dataset, the community-level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). The South Central Connecticut Regional Water Supply (RWA) estimates domestic water use at 50 GPD and supplies water to the western half of the study area. The U.S. Geological Survey (USGS) estimates publicly and self-supplied domestic water use at 75 GPD for the eastern half of the study area. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).

This layer shows total population counts by sex, age, and race groups data from the 2020 Census Demographic and Housing Characteristics. This is shown by Nation, Consolidated City, Census Designated Place, Incorporated Place boundaries. Each geography layer contains a common set of Census counts based on available attributes from the U.S. Census Bureau. There are also additional calculated attributes related to this topic, which can be mapped or used within analysis.   To see the full list of attributes available in this service, go to the "Data" tab above, and then choose "Fields" at the top right. Each attribute contains definitions, additional details, and the formula for calculated fields in the field description.Vintage of boundaries and attributes: 2020 Demographic and Housing Characteristics Table(s): P1, H1, H3, P2, P3, P5, P12, P13, P17, PCT12 (Not all lines of these DHC tables are available in this feature layer.)Data downloaded from: U.S. Census Bureau’s data.census.gov siteDate the Data was Downloaded: May 25, 2023Geography Levels included: Nation, Consolidated City, Census Designated Place, Incorporated PlaceNational Figures: included in Nation layer The United States Census Bureau Demographic and Housing Characteristics: 2020 Census Results 2020 Census Data Quality Geography & 2020 Census Technical Documentation Data Table Guide: includes the final list of tables, lowest level of geography by table and table shells for the Demographic Profile and Demographic and Housing Characteristics.News & Updates This layer is ready to be used in ArcGIS Pro, ArcGIS Online and its configurable apps, Story Maps, dashboards, Notebooks, Python, custom apps, and mobile apps. Data can also be exported for offline workflows. Please cite the U.S. Census Bureau when using this data. Data Processing Notes: These 2020 Census boundaries come from the US Census TIGER geodatabases. These are Census boundaries with water and/or coastlines erased for cartographic and mapping purposes. For Census tracts and block groups, 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 and block group boundaries, as well as additional important features. For state and county boundaries, the water and coastlines are derived from the coastlines of the 2020 500k TIGER Cartographic Boundary Shapefiles. These are erased to more accurately portray the coastlines and Great Lakes. The original AWATER and ALAND fields are unchanged and available as attributes within the data table (units are square meters).  The layer contains 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). Block groups that fall within the same criteria (Block Group denoted as 0 with no area land) have also been removed.Percentages and derived counts, are calculated values (that can be identified by the "_calc_" stub in the field name). Field alias names were created based on the Table Shells file available from the Data Table Guide for the Demographic Profile and Demographic and Housing Characteristics. Not all lines of all tables listed above are included in this layer. Duplicative counts were dropped. For example, P0030001 was dropped, as it is duplicative of P0010001.To protect the privacy and confidentiality of respondents, their data has been protected using differential privacy techniques by the U.S. Census Bureau.

As included in this EnviroAtlas dataset, the community level domestic water use is calculated using locally available water use data per capita in gallons of water per day (GPD), distributed dasymetrically, and summarized by census block group. Domestic water use, as defined in this case, is intended to represent residential indoor and outdoor water use (e.g., cooking, hygiene, landscaping, pools, etc.) for primary residences (i.e., excluding second homes and tourism rentals). Water use in this EnviroAtlas-defined study area is estimated at 65 GPD. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets).