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

Department of Water Resources California Water Plan program computes applied, net, and depletion water balances for California. Water balances are simplified water budgets for a water year based on analyses of developed and dedicated water supplies, water uses by sector, water reuses, operational characteristics for an area, and inflows and outflow for a study area that occur above the root zone. Dedicated and developed water supplies include surface water, groundwater, reused and recycled water. Water uses by sector for these analyses include parameters for agriculture, urban, managed wetlands, Wild and Scenic river annual volumes, minimum required instream flows, and minimum required delta outflow, recognizing that water is often used multiple times and benefits multiple sectors. Water balance results show what water was applied to actual uses so that use equals supply. Recent data provided includes water uses and supplies for WYs 2002-2021 at Detailed Analysis Unit by County (DAUCO), Planning Area (PA), Hydrologic Region (HR), and Statewide spatial scales. Computation and aggregation equations for applied, net, and depletion water balances are included in the Standard Operating Procedures (SOPs) for data management and analyses. Zipped data files are in .CSV format.

The California Water Plan Update 2023 Water Balances Supporting Document includes water use and supply discussion, graphics, and links to files and folders of water use and supply data for 1998-2020, and related information. The Update 2023 Standard Operating Procedures (SOPs) for Water Balances Automation includes detailed technical information, diagrams, equations, controlled vocabulary, and definitions.

California Water Plan Update 2028 is underway and will include data through WY 2024.

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.

Saudi Arabia water data from Food and Agricultural Organization of the United Nationshttp://www.fao.org/nr/water/aquastat/data/queryThere 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.Citation: "AQUASTAT Database". Fao.org. Web. 10 Mar. 2016

This dataset represents a water shortage vulnerability analysis performed by DWR using modified PLSS sections pulled from the Well Completion Report PLSS Section Summaries. The attribute table includes water shortage vulnerability indicators and scores from an analysis done by CA Department of Water Resources, joined to modified PLSS sections. Several relevant summary statistics from the Well Completion Reports are included in this table as well. This data is from the 2024 analysis.

Water Code Division 6 Part 2.55 Section 8 Chapter 10 (Assembly Bill 1668) effectively requires California Department of Water Resources (DWR), in consultation with other agencies and an advisory group, to identify small water suppliers and “rural communities” that are at risk of drought and water shortage. Following legislation passed in 2021 and signed by Governor Gavin Newsom, the Water Code Division 6, Section 10609.50 through 10609.80 (Senate Bill 552 of 2021) effectively requires the California Department of Water Resources to update the scoring and tool periodically in partnership with the State Water Board and other state agencies. This document describes the indicators, datasets, and methods used to construct this deliverable.  This is a statewide effort to systematically and holistically consider water shortage vulnerability statewide of rural communities, focusing on domestic wells and state small water systems serving between 4 and 14 connections. The indicators and scoring methodology will be revised as better data become available and stake-holders evaluate the performance of the indicators, datasets used, and aggregation and ranking method used to aggregate and rank vulnerability scores. Additionally, the scoring system should be adaptive, meaning that our understanding of what contributes to risk and vulnerability of drought and water shortage may evolve. This understanding may especially be informed by experiences gained while navigating responses to future droughts.”

A spatial analysis was performed on the 2020 Census Block Groups, modified PLSS sections, and small water system service areas using a variety of input datasets related to drought vulnerability and water shortage risk and vulnerability. These indicator values were subsequently rescaled and summed for a final vulnerability score for the sections and small water system service areas. The 2020 Census Block Groups were joined with ACS data to represent the social vulnerability of communities, which is relevant to drought risk tolerance and resources. These three feature datasets contain the units of analysis (modified PLSS sections, block groups, small water systems service areas) with the model indicators for vulnerability in the attribute table. Model indicators are calculated for each unit of analysis according to the Vulnerability Scoring documents provided by Julia Ekstrom (Division of Regional Assistance).

All three feature classes are DWR analysis zones that are based off existing GIS datasets. The spatial data for the sections feature class is extracted from the Well Completion Reports PLSS sections to be aligned with the work and analysis that SGMA is doing. These are not true PLSS sections, but a version of the projected section lines in areas where there are gaps in PLSS. The spatial data for the Census block group feature class is downloaded from the Census. ACS (American Communities Survey) data is joined by block group, and statistics calculated by DWR have been added to the attribute table. The spatial data for the small water systems feature class was extracted from the State Water Resources Control Board (SWRCB) SABL dataset, using a definition query to filter for active water systems with 3000 connections or less. None of these datasets are intended to be the authoritative datasets for representing PLSS sections, Census block groups, or water service areas. The spatial data of these feature classes is used as units of analysis for the spatial analysis performed by DWR.

These datasets are intended to be authoritative datasets of the scoring tools required from DWR according to Senate Bill 552. Please refer to the Drought and Water Shortage Vulnerability Scoring: California's Domestic Wells and State Smalls Systems documentation for more information on indicators and scoring. These estimated indicator scores may sometimes be calculated in several different ways, or may have been calculated from data that has since be updated. Counts of domestic wells may be calculated in different ways. In order to align with DWR SGMO's (State Groundwater Management Office) California Groundwater Live dashboards, domestic wells were calculated using the same query. This includes all domestic wells in the Well Completion Reports dataset that are completed after 12/31/1976, and have a 'RecordType' of 'WellCompletion/New/Production or Monitoring/NA'.

Please refer to the Well Completion Reports metadata for more information. The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.4, dated September 14, 2022. DWR makes no warranties or guarantees — either expressed or implied— as to the completeness, accuracy, or correctness of the data.

DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. Comments, problems, improvements, updates, or suggestions should be forwarded to GIS@water.ca.gov.

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.

This table displays the population served by drinking water plants, broken down by source water type for Canada, provinces, territories and drainage regions. The unit of measure is persons. The table frequency is occasional.

Global water demand in the manufacturing sector is forecast to reach ***** cubic kilometers by 2050. The highest demand is forecast to come from the irrigated land and irrigation water use, amounting to over ***** cubic kilometers that same year.

The USGS compiles online access to water-resources data collected at approximately 1.5 million sites in all 50 States, the District of Columbia, Puerto Rico, the Virgin Islands, Guam, American Samoa and the Commonwealth of the Northern Mariana Islands.

This table presents the water accounts, being part of the environmental accounts compiled by Statistics Netherlands annually. This Water Accounting table includes the (physical) water use by the Dutch economy. A distinction is made between the use of tap water, use and abstraction (withdrawal) of groundwater and of surface water. The water used is allocated to the industries and households. Alternatively, tables selections can be made that show break down by economic activity (including households), by water type and annual use. Values are shown in million cubic meters of water (mln m³).

With tap water, a distinction is made between tap water of drinking water quality and industrial water. Industrial water is tap water with a less quality than drinking water, or sometimes with a better quality, like demineralized water. This industrial water is mainly used by the industry and electricity producers. For surface water a distinction is made between fresh surface water and seawater. Within all water types (except drinking water) a distinction is made between use for cooling and use for other purposes. The distinction between use for cooling and use for other purposes is recently added from 2022. Therefore, the trend between 2022 and 2023 can be volatile. The data are derived from a diverse set of sources, more about those sources can be found in chapter 4.

Data in the environmental accounts directly correspond to the economic data in the national accounts, that allows assessment of the impact of the economic activities of the Netherlands for the use of water taken from the natural environment in quantitative terms. From the water accounts bills, environmental indicators can be derived. As an example the water use intensity for the different types can be determined for the Netherlands as a whole or for the break down by industry.

Data available from: 2003

Status of the figures: The data for the respective years in the full time series in this table are final and the last three years are provisional. The entire time series from 2003 onwards, if necessary, is to be adjusted to reflect the updated source information. Part of the tapwater (drinking water and industrial water) data is not yet available for the year 2022 and 2023. The missing values are specified as dots and will be updated in the next year in 2026. The whole time series will be updated in 2026 due to improved data sources and improvements in the time series.

Changes as of April 2025: Figures for 2023 have been added.

When will new figures be published? The next publication will be in September 2026.

Indonesia Water Statistic: Consumption data was reported at 14,253,691.000 IDR mn in 2017. This records an increase from the previous number of 12,854,363.000 IDR mn for 2015. Indonesia Water Statistic: Consumption data is updated yearly, averaging 8,250,734.000 IDR mn from Dec 2003 (Median) to 2017, with 14 observations. The data reached an all-time high of 14,253,691.000 IDR mn in 2017 and a record low of 4,240,740.000 IDR mn in 2003. Indonesia Water Statistic: Consumption 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.

This dataset is a statistical data of groundwater levels at various groundwater observation stations across Taiwan, as collected by the Water Resources Agency of the Ministry of Economic Affairs. Through this data, users can understand the historical groundwater levels at the locations of the observation wells, including the annual average water levels, highest water levels, lowest water levels, and other related information. Users can also coordinate this data with the publicly available information on the status of groundwater observation wells provided by the Water Resources Agency to further understand the regional groundwater conditions. The groundwater level observation data of the Water Resources Agency is collected and checked by personnel once a month, with one data point recorded per hour. As the "Hydrological Information Fee Standards" of the Water Resources Agency has been officially implemented, users who need more detailed data such as water levels at specific times can apply for it through the "Hydrological Information Application Website" of the Water Resources Agency of the Ministry of Economic Affairs.

This table shows the primary type of drinking water consumed by Canadian households. The unit of measure is percent. The table is biennial.

Brazil BR: Improved Water Source: % of Population with Access data was reported at 98.100 % in 2015. This stayed constant from the previous number of 98.100 % for 2014. Brazil BR: Improved Water Source: % of Population with Access data is updated yearly, averaging 94.350 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 98.100 % in 2015 and a record low of 88.500 % in 1990. Brazil BR: Improved Water Source: % of Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Brazil – Table BR.World Bank.WDI: Social: Health Statistics. Access to an improved water source refers to the percentage of the population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;

Vanuatu VU: People Using At Least Basic Drinking Water Services: % of Population data was reported at 90.504 % in 2015. This records an increase from the previous number of 89.768 % for 2014. Vanuatu VU: People Using At Least Basic Drinking Water Services: % of Population data is updated yearly, averaging 84.626 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 90.504 % in 2015 and a record low of 81.606 % in 2000. Vanuatu VU: People Using At Least Basic Drinking Water Services: % of Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vanuatu – Table VU.World Bank.WDI: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted average;

Iceland has the largest renewable freshwater resources per capita worldwide, at an estimated 444 thousand cubic meters per inhabitant as of 2023 – based on the long-term annual average. While water resources are abundant in Iceland, the population in the Nordic country amounts to less than 400,000 inhabitants.

Germany DE: Improved Water Source: % of Population with Access data was reported at 100.000 % in 2015. This stayed constant from the previous number of 100.000 % for 2014. Germany DE: Improved Water Source: % of Population with Access data is updated yearly, averaging 100.000 % from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 100.000 % in 2015 and a record low of 100.000 % in 2015. Germany DE: Improved Water Source: % of Population with Access data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.WDI: Social: Health Statistics. Access to an improved water source refers to the percentage of the population using an improved drinking water source. The improved drinking water source includes piped water on premises (piped household water connection located inside the user’s dwelling, plot or yard), and other improved drinking water sources (public taps or standpipes, tube wells or boreholes, protected dug wells, protected springs, and rainwater collection).; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;

The water footprint varies significantly between different products. Whereas the production of one kilogram of bovine leather requires over 17,000 liters of water, the production of the same amount of tomatoes only requires 214 liters.