Water withdrawals per capita in Turkmenistan amount to 2,740 cubic meters per inhabitant, according to the latest available data from 2021. This is a far higher volume than in many other countries, such as China, where per capita water withdrawals were 398.7 cubic meters as of 2021. Global water withdrawals Countries around the world withdraw huge volumes of water each year from sources such as rivers, lakes, reservoirs, and groundwater. China has some of the largest annual total water withdrawals across the globe, at 581.3 billion cubic meters per year. In comparison, Mexico withdrew almost 90 billion cubic meters of water in 2021. Water scarcity Although roughly 70 percent of Earth's surface is covered with water, less than one percent of the planet's total water resources can be classified as accessible freshwater resources. Growing populations, increased demand, and climate change are increasingly putting pressure on these precious resources. This is expected to lead to global water shortages around the world. In the United States, the megadrought in the west has seen water levels of major reservoirs that provide water to millions of people plummet to record lows. In order to prevent severe droughts in water-stressed areas today and in the future, a more efficient use of water is essential.

This statistic represents the projected water consumption worldwide in 2014 with projections until 2040, broken down by sector. In 2040, it is projected that water consumption under the agricultural sector will reach ***** billion cubic meters worldwide.

The graph shows the countries with the largest share of global water consumption. 12 percent of the world's water is consumed in China.

China Water Consumption: Industry data was reported at 97,020.000 Cub m mn in 2023. This records an increase from the previous number of 96,840.000 Cub m mn for 2022. China Water Consumption: Industry data is updated yearly, averaging 127,700.000 Cub m mn from Dec 1999 (Median) to 2023, with 25 observations. The data reached an all-time high of 146,180.000 Cub m mn in 2011 and a record low of 96,840.000 Cub m mn in 2022. China Water Consumption: Industry data remains active status in CEIC and is reported by Ministry of Water Resources. The data is categorized under China Premium Database’s Land and Resources – Table CN.NLM: Water Resource.

It is projected that global water demand will reach ***** 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 **** 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.

Water consumption is indispensable data in the trends and changes of key factors such as the water resource restoration process and water pressure judgment. Due to difficulties in obtaining and varying statistical dimensions, as the spatial scale continues to expand, the least reliable and most inconsistent water consumption also becomes apparent. As a result, the contradiction between the demand for data refinement and the slow development is increasingly expanding. With the innovation of research methods, the transformation from regionalization to rasterization has accelerated, but it has also caused difficulty in unifying conclusions. For this type of complex data, continuous "convergence" research can lead to more reliable results for practical applications. To this end, based on existing sub-national water withdrawal, this study takes into account the idea of the trapezoid model and the development trend of socio-economic indicators, spatially quantifies the utilization coefficient of agricultural water consumption, and corrects and calculates the utilization coefficient of industrial/municipal water consumption. This study not only provides reliable insights into water consumption trends and key shifts in different sectors, but also provides strong support for the boundary constraints of sub-national data. Furthermore, by considering the changing relationship between the development rate and the averageness, the restriction situation of different sectors at the sub-national level was analyzed. Among them, industrial water consumption played a very significant role in achieving the goal of reaching the peak.

The Water Consumption Market Report is Segmented by Source of Water Procurement (Potable Water, Reclaimed / Grey Water, and More), Cooling Technology (Evaporative and Adiabatic Cooling, Liquid Immersion and Direct-To-Chip, and More), Water-Treatment Method (Filtration, Reverse Osmosis, and More), Ownership Model (Hyperscale, Wholesale Colocation, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

China Water Consumption: Agriculture data was reported at 367,240.000 Cub m mn in 2023. This records a decrease from the previous number of 378,130.000 Cub m mn for 2022. China Water Consumption: Agriculture data is updated yearly, averaging 372,311.458 Cub m mn from Dec 1999 (Median) to 2023, with 25 observations. The data reached an all-time high of 392,151.876 Cub m mn in 2013 and a record low of 343,281.297 Cub m mn in 2003. China Water Consumption: Agriculture data remains active status in CEIC and is reported by Ministry of Water Resources. The data is categorized under China Premium Database’s Land and Resources – Table CN.NLM: Water Resource.

About:

The dataset constitutes the first reconstructed global water use data product at sub-annual and sub-national/gridded resolution that is derived from different models and data sources; it was generated by spatially and temporally downscaling country-scale estimates of sectoral water withdrawals from FAO AQUASTAT (and state-scale estimates of USGS for the US). In addition, the industrial sector was disaggregated into manufacturing, mining and cooling of thermal power plants by using historical estimates from GCAM. Downscaling was performed using the output of various models and new modeling approaches, which includes the spatial and temporal downscaling methodologies for water withdrawal in previous studies (Wada et al., 2011; Voisin et al., 2013; Hejazi et al., 2014). For the consumptive water use, irrigation water consumption is reconstructed based on estimates by 4 GHMs and consumptive water use efficiency (the proportion of water consumption to water withdrawal), which is calculated based on simulation of Flörke et al (2013) and USGS estimates, is used to generated global consumptive water use for the remaining sector. Therefore, a global monthly gridded (0.5 degree) sectoral water use dataset for the period 1971–2010, which distinguishes six water use sectors, i.e. irrigation, domestic, electricity generation (cooling of thermal power plants), livestock, mining, and manufacturing, was reconstructed. The detailed descriptions for this dataset are presented in Huang et al. (in review).

The spatially distributed industrial water use dataset is created using a Random forest regression model at 0.50 resolution. The file contains the input and output datasets, explained in each folder in the 'README.txt' file. It also includes the Python codes created while preparing the datasets.

Water Consumption: Average: per Capita: Central West data was reported at 153.520 l in 2022. This records an increase from the previous number of 147.750 l for 2021. Water Consumption: Average: per Capita: Central West data is updated yearly, averaging 148.750 l from Dec 2012 (Median) to 2022, with 11 observations. The data reached an all-time high of 160.680 l in 2013 and a record low of 144.880 l in 2018. Water Consumption: Average: per Capita: Central West data remains active status in CEIC and is reported by Ministry of Cities. The data is categorized under Brazil Premium Database’s Environmental, Social and Governance Sector – Table BR.EVB005: Operational Indicators: Water Consumption Indicators.

China Water Consumption data was reported at 592,500.000 Cub m mn in 2024. This records an increase from the previous number of 590,650.000 Cub m mn for 2023. China Water Consumption data is updated yearly, averaging 592,260.000 Cub m mn from Dec 1999 (Median) to 2024, with 26 observations. The data reached an all-time high of 618,344.927 Cub m mn in 2013 and a record low of 532,040.000 Cub m mn in 2003. China Water Consumption data remains active status in CEIC and is reported by Ministry of Water Resources. The data is categorized under China Premium Database’s Land and Resources – Table CN.NLM: Water Resource.

China Water Consumption: City: Daily per Capita: Residential data was reported at 188.799 l in 2023. This records an increase from the previous number of 184.732 l for 2022. China Water Consumption: City: Daily per Capita: Residential data is updated yearly, averaging 178.638 l from Dec 1978 (Median) to 2023, with 46 observations. The data reached an all-time high of 220.240 l in 2000 and a record low of 120.600 l in 1978. China Water Consumption: City: Daily per Capita: Residential data remains active status in CEIC and is reported by Ministry of Housing and Urban-Rural Development. The data is categorized under China Premium Database’s Utility Sector – Table CN.RCA: Water Consumption: Daily per Capita: Residential.

Brazil Water Consumption: Micromeasured data was reported at 10.500 Cub m in 2022. This records a decrease from the previous number of 10.870 Cub m for 2021. Brazil Water Consumption: Micromeasured data is updated yearly, averaging 11.300 Cub m from Dec 2012 (Median) to 2022, with 11 observations. The data reached an all-time high of 13.240 Cub m in 2012 and a record low of 10.500 Cub m in 2022. Brazil Water Consumption: Micromeasured data remains active status in CEIC and is reported by Ministry of Cities. The data is categorized under Brazil Premium Database’s Environmental, Social and Governance Sector – Table BR.EVB005: Operational Indicators: Water Consumption Indicators.

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. Canada's water use in a global context indicator reports on the amount of water removed from the environment per person per year for use in agriculture, manufacturing and in homes, and as a percentage of each country's total renewable water supply for nine countries, including Canada. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for data sources and details on how those data were collected and how the indicator was calculated. Supplemental Information Canadian Environmental Sustainability Indicators - Home page: https://www.canada.ca/environmental-indicators

Learn about the projected growth of the bottled water market worldwide, with an expected increase in consumption over the next decade. By 2035, the market volume is forecasted to reach 987 billion litres, with a value of $231.2 billion.

Indonesia Water Statistic: Consumption: Weat Java data was reported at 1,710,489.000 IDR mn in 2017. This records an increase from the previous number of 1,574,895.000 IDR mn for 2015. Indonesia Water Statistic: Consumption: Weat Java data is updated yearly, averaging 398,069.500 IDR mn from Dec 1995 (Median) to 2017, with 22 observations. The data reached an all-time high of 1,710,489.000 IDR mn in 2017 and a record low of 114,910.000 IDR mn in 1995. Indonesia Water Statistic: Consumption: Weat 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.

Assessing global freshwater resources and human water demand is of value for a number of needs but challenging. The global water use and water availability model WaterGAP is in development since 1996 and serves a range of applications and topics as such as Life Cycle Assessments, a better understanding of terrestrial water storage variations (e.g., jointly with satellite observations), water (over)use and consequently depletion of water resources, as well as model evaluation and model development. In the paper connected to this dataset (doi:10.5194/gmd-14-1037-2021), the newest model version, WaterGAP 2.2d is described by providing the water balance equations, insights to input data used and typical model applications. The most important and requested model outputs (total water storage variations, streamflow and water use) are evaluated against observation data. Standard model output, driven by the climate input WFD-WFDEI (for the years 1901-2016) is described. Caveats of specific output data and an overview of model applications as well as an outlook of future model development lines are presented as well. […]

Output data of water withdrawals and water allocation per water source from the sectoral water use and allocation model (QUAlloc).

Dataset properties:

• spatial resolution: 10 km (global-scale)
• temporal resolution: monthly time-step
• period: 1980 - 2019
• units: m3/month

Output datasets:

The sectoral water use and allocation model used, QUAlloc, can be found at: https://github.com/SustainableWaterSystems/QUAlloc.

In 2020, ** percent of IT and data center managers worldwide claimed that they did not collect water usage data for their operations. Around ** percent of respondents confirmed that they did collect water usage data at a site level for each data center.