It is projected that global water demand will reach 4,350 billion cubic meters in terms of withdrawal by 2040. In the last few decades, the growth in water demand has doubled that of population growth. Water demand growth is also likely to vary based on region and sector. Regionally, water demand growth is expected to come mostly from India, Africa, and other developing countries in Asia. The agricultural industry is one of the largest consumers of water worldwide, primarily for irrigation purposes. Trends in water use will be largely dependent on urbanization, rising living standards, demand for goods, and changes in dietary preferences.

Water accessibility
A vast number of people worldwide still lack access to drinking water sources, while an even larger population has no access to improved sanitation services. In India, over 75.8 million people have no household access to a safe water source. Striving to provide safe water access to these remaining population groups would likely also increase domestic water demand as well as the energy and infrastructure that would need to be put in place to provide these basic needs.

The California Department of Water Resources (DWR) discrete (vs. continuous) water quality datasets contains DWR-collected, current and historical, chemical and physical parameters found in routine environmental, regulatory compliance monitoring, and special studies throughout the state.

The Water Quality Portal (WQP) is a cooperative service sponsored by the United States Geological Survey (USGS), the Environmental Protection Agency (EPA), and the National Water Quality Monitoring Council (NWQMC). It serves data collected by over 400 state, federal, tribal, and local agencies. Water quality data can be downloaded in Excel, CSV, TSV, and KML formats. Fourteen site types are found in the WQP: aggregate groundwater use, aggregate surface water use, atmosphere, estuary, facility, glacier, lake, land, ocean, spring, stream, subsurface, well, and wetland. Water quality characteristic groups include physical conditions, chemical and bacteriological water analyses, chemical analyses of fish tissue, taxon abundance data, toxicity data, habitat assessment scores, and biological index scores, among others. Within these groups, thousands of water quality variables registered in the EPA Substance Registry Service (https://iaspub.epa.gov/sor_internet/registry/substreg/home/overview/home.do) and the Integrated Taxonomic Information System (https://www.itis.gov/) are represented. Across all site types, physical characteristics (e.g., temperature and water level) are the most common water quality result type in the system. The Water Quality Exchange data model (WQX; http://www.exchangenetwork.net/data-exchange/wqx/), initially developed by the Environmental Information Exchange Network, was adapted by EPA to support submission of water quality records to the EPA STORET Data Warehouse [USEPA, 2016], and has subsequently become the standard data model for the WQP. Contributing organizations: ACWI The Advisory Committee on Water Information (ACWI) represents the interests of water information users and professionals in advising the federal government on federal water information programs and their effectiveness in meeting the nation's water information needs. ARS The Agricultural Research Service (ARS) is the U.S. Department of Agriculture's chief in-house scientific research agency, whose job is finding solutions to agricultural problems that affect Americans every day, from field to table. ARS conducts research to develop and transfer solutions to agricultural problems of high national priority and provide information access and dissemination to, among other topics, enhance the natural resource base and the environment. Water quality data from STEWARDS, the primary database for the USDA/ARS Conservation Effects Assessment Project (CEAP) are ingested into WQP via a web service. EPA The Environmental Protection Agency (EPA) gathers and distributes water quality monitoring data collected by states, tribes, watershed groups, other federal agencies, volunteer groups, and universities through the Water Quality Exchange framework in the STORET Warehouse. NWQMC The National Water Quality Monitoring Council (NWQMC) provides a national forum for coordination of comparable and scientifically defensible methods and strategies to improve water quality monitoring, assessment, and reporting. It also promotes partnerships to foster collaboration, advance the science, and improve management within all elements of the water quality monitoring community. USGS The United States Geological Survey (USGS) investigates the occurrence, quantity, quality, distribution, and movement of surface waters and ground waters and disseminates the data to the public, state, and local governments, public and private utilities, and other federal agencies involved with managing the United States' water resources. Resources in this dataset:Resource Title: Website Pointer for Water Quality Portal. File Name: Web Page, url: https://www.waterqualitydata.us/ The Water Quality Portal (WQP) is a cooperative service sponsored by the United States Geological Survey (USGS), the Environmental Protection Agency (EPA), and the National Water Quality Monitoring Council (NWQMC). It serves data collected by over 400 state, federal, tribal, and local agencies. Links to Download Data, User Guide, Contributing Organizations, National coverage by state.

This statistic represents the projected increase in global annual water demand between 2005 and 2030, by region and sector. The European industry's water demand is expected to increase by around 100 billion cubic meters of water in 2030, compared to 2005. In 2015, 92 percent of the world's population are estimated to have access to improved drinking water sources.

Austin Water updates the following set of key facts and statistics quarterly based on customer and GIS data.

Data collected to assess water quality conditions in the natural creeks, aquifers and lakes in the Austin area. This is raw data, provided directly from our Water Resources Monitoring database (WRM) and should be considered provisional. Data may or may not have been reviewed by project staff. A map of site locations can be found by searching for LOCATION.WRM_SAMPLE_SITES; you may then use those WRM_SITE_IDs to filter in this dataset using the field SAMPLE_SITE_NO.

The Environmental Department releases river water quality monitoring data, including River Pollution Index (RPI) and monitored values of major pollutants. Due to the need for monthly on-site sampling, laboratory testing and data quality control procedures, monitoring data is usually provided every other month.

The is a curated dataset of information for all public water systems (PWS) in California, including the name, location and some general informaiton for each PWS. The source of the data https://sdwis.waterboards.ca.gov/PDWW/ is a public web portal to view public water systems (PWS) location, facilities, sources, and samples.

December 6, 2023 (Final DWR Data) The 2018 Legislation required DWR to provide or otherwise identify data regarding the unique local conditions to support the calculation of an urban water use objective (CWC 10609. (b)(2) (C)). The urban water use objective (UWUO) is an estimate of aggregate efficient water use for the previous year based on adopted water use efficiency standards and local service area characteristics for that year. UWUO is calculated as the sum of efficient indoor residential water use, efficient outdoor residential water use, efficient outdoor irrigation of landscape areas with dedicated irrigation meter for Commercial, Industrial, and Institutional (CII) water use, efficient water losses, and an estimated water use in accordance with variances, as appropriate. Details of urban water use objective calculations can be obtained from DWR’s Recommendations for Guidelines and Methodologies document (Recommendations for Guidelines and Methodologies for Calculating Urban Water Use Objective - https://water.ca.gov/-/media/DWR-Website/Web-Pages/Programs/Water-Use-And-Efficiency/2018-Water-Conservation-Legislation/Performance-Measures/UWUO_GM_WUES-DWR-2021-01B_COMPLETE.pdf). The datasets provided in the links below enable urban retail water suppliers calculate efficient outdoor water uses (both residential and CII), agricultural variances, variances for significant uses of water for dust control for horse corals, and temporary provisions for water use for existing pools (as stated in Water Boards’ draft regulation). DWR will provide technical assistance for estimating the remaining UWUO components, as needed. Data for calculating outdoor water uses include: • Reference evapotranspiration (ETo) – ETo is evaporation plant and soil surface plus transpiration through the leaves of standardized grass surfaces over which weather stations stand. Standardization of the surfaces is required because evapotranspiration (ET) depends on combinations of several factors, making it impractical to take measurements under all sets of conditions. Plant factors, known as crop coefficients (Kc) or landscape coefficients (KL), are used to convert ETo to actual water use by specific crop/plant. The ETo data that DWR provides to urban retail water suppliers for urban water use objective calculation purposes is derived from the California Irrigation Management Information System (CIMIS) program (https://cimis.water.ca.gov/). CIMIS is a network of over 150 automated weather stations throughout the state that measure weather data that are used to estimate ETo. CIMIS also provides daily maps of ETo at 2-km grid using the Spatial CIMIS modeling approach that couples satellite data with point measurements. The ETo data provided below for each urban retail water supplier is an area weighted average value from the Spatial CIMIS ETo. • Effective precipitation (Peff) - Peff is the portion of total precipitation which becomes available for plant growth. Peff is affected by soil type, slope, land cover type, and intensity and duration of rainfall. DWR is using a soil water balance model, known as Cal-SIMETAW, to estimate daily Peff at 4-km grid and an area weighted average value is calculated at the service area level. Cal-SIMETAW is a model that was developed by UC Davis and DWR and it is widely used to quantify agricultural, and to some extent urban, water uses for the publication of DWR’s Water Plan Update. Peff from Cal-SIMETAW is capped at 25% of total precipitation to account for potential uncertainties in its estimation. Daily Peff at each grid point is aggregated to produce weighted average annual or seasonal Peff at the service area level. The total precipitation that Cal-SIMETAW uses to estimate Peff comes from the Parameter-elevation Relationships on Independent Slopes Model (PRISM), which is a climate mapping model developed by the PRISM Climate Group at Oregon State University. • Residential Landscape Area Measurement (LAM) – The 2018 Legislation required DWR to provide each urban retail water supplier with data regarding the area of residential irrigable lands in a manner that can reasonably be applied to the standards (CWC 10609.6.(b)). DWR delivered the LAM data to all retail water suppliers, and a tabular summary of selected data types will be provided here. The data summary that is provided in this file contains irrigable-irrigated (II), irrigable-not-irrigated (INI), and not irrigable (NI) irrigation status classes, as well as horse corral areas (HCL_area), agricultural areas (Ag_area), and pool areas (Pool_area) for all retail suppliers.

This dataset contains International Virtual Water Flow Statistics. Data from Water FootPrint Network.

Follow datasource.kapsarc.org for timely data to advance energy economics research.

Indonesia Water Statistic: Consumption: Bali data was reported at 374,658.000 IDR mn in 2017. This records a decrease from the previous number of 495,937.000 IDR mn for 2015. Indonesia Water Statistic: Consumption: Bali data is updated yearly, averaging 177,358.000 IDR mn from Dec 1995 (Median) to 2017, with 22 observations. The data reached an all-time high of 495,937.000 IDR mn in 2015 and a record low of 19,245.000 IDR mn in 1995. Indonesia Water Statistic: Consumption: Bali data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.RIG002: Water Consumption.

Groundwater quality data and related groundwater well information available on the page was queried from the GAMA Groundwater information system (**[GAMA GIS](https://gamagroundwater.waterboards.ca.gov/gama/datadownload)**). Data provided represent a collection of groundwater quality results from various federal, state, and local groundwater sources. Results have been filtered to only represent untreated sampling results for the purpose of characterizing ambient conditions. Data have been standardized across multiple data sets including chemical names and units. Standardization has not been performed for chemical result modifier and others (although we are working currently to standardize most fields). Chemicals that have been standardized are included in the data sets. Therefore, other chemicals have been analyzed for but are not included in GAMA downloads. Groundwater samples have been collected from well types including domestic, irrigation, monitoring, municipal. Wells that cannot accurately be attributed to a category are labeled as "water supply, other". For additional information regarding the GAMA GIS data system please reference our **[factsheet](https://www.waterboards.ca.gov/publications_forms/publications/factsheets/docs/gama_gis_factsheet.pdf)**.

Close to three quarters of the global population had access to safely managed drinking water in 2022, increasing by four percentage points since 2015. Europe and North America was the region with the highest share at 94 percent, while it was lowest in Sub-Saharan Africa, reaching only 31 percent.

Saudi Arabia water data from Food and Agricultural Organization of the United Nations

http://www.fao.org/nr/water/aquastat/data/query

There are too many variables in this dataset. So we have split this dataset into three files namely Demand Water Data, Supply Ground Water Data, Supply Surface Water Data.

HydroFrame dataset to accompany National water allocation statistics for environmental reporting; 2018 report.

https://www.mfe.govt.nz/publications/fresh-water/national-water-allocation-statistics-environmental-reporting-2018

This report updates previously published statistics on water consented to be taken from surface and groundwater sources for consumptive uses (such as irrigation or drinking water). The report focusses on the potential pressure on surface water flows from consumptive water takes. Stream flow pressure is characterised by accumulating water consented to be taken as percentage of median flow in all river reaches affected by consented takes in New Zealand.

HydroFrame contains consumptive hydropower information.

State, 2016 –2020; County, 2020. The report includes both state and county level water fluoridation data generated from the Water Fluoridation Reporting System (WFRS). State level statistics include data from the biennial report originally published at https://www.cdc.gov/fluoridation/statistics/reference_stats.htm. State and county data include percentage of people, number of people, and number of water systems receiving fluoridated water. County level data is not displayed for all states. Participation in sharing county level data is voluntary and state programs determine if data will be shown.

Indonesia Water Statistic: Consumption: Vol: DKI Jakarta data was reported at 494.295 Cub m mn in 2017. This records an increase from the previous number of 451.614 Cub m mn for 2015. Indonesia Water Statistic: Consumption: Vol: DKI Jakarta data is updated yearly, averaging 360.681 Cub m mn from Dec 1995 (Median) to 2017, with 22 observations. The data reached an all-time high of 776.882 Cub m mn in 2005 and a record low of 26.623 Cub m mn in 2001. Indonesia Water Statistic: Consumption: Vol: DKI Jakarta data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.RIG002: Water Consumption.

Indonesia Water Statistic: Consumption: Vol: East Kalimantan data was reported at 143.831 Cub m mn in 2017. This records a decrease from the previous number of 149.794 Cub m mn for 2015. Indonesia Water Statistic: Consumption: Vol: East Kalimantan data is updated yearly, averaging 62.404 Cub m mn from Dec 1995 (Median) to 2017, with 22 observations. The data reached an all-time high of 149.794 Cub m mn in 2015 and a record low of 3.129 Cub m mn in 1995. Indonesia Water Statistic: Consumption: Vol: East Kalimantan data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.RIG002: Water Consumption.

Indonesia Water Statistic: Consumption: East Java data was reported at 1,721,926.000 IDR mn in 2017. This records an increase from the previous number of 1,603,968.000 IDR mn for 2015. Indonesia Water Statistic: Consumption: East Java data is updated yearly, averaging 552,175.500 IDR mn from Dec 1995 (Median) to 2017, with 22 observations. The data reached an all-time high of 1,721,926.000 IDR mn in 2017 and a record low of 133,525.000 IDR mn in 1995. Indonesia Water Statistic: Consumption: East Java data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Indonesia – Table ID.RIG002: Water Consumption.