Monthly consumption and cost data by borough and development. Data set includes utility vendor and meter information.
https://data.gov.tw/licensehttps://data.gov.tw/license
The amount of water used per person per year water used for daily living
GPT-3's water consumption for the training phase was estimated at roughly 4.8 billion liters of water, when assuming the model was trained on Microsoft's Iowa data center (OpeanAI has disclosed that the data center was used for training parts of the GPT-4 model). If the model were to have been fully trained in the Washington data center, water consumption could have been as high as 15 billion liters. That would've amounted to more than Microsoft's total water withdrawals in 2023.
This data lists Madison Water Utility water usage in gallons by day from January 1, 2019 through August 23, 2020. This includes both total gallons used, and a breakout by customer class.
https://data.gov.tw/licensehttps://data.gov.tw/license
This dataset is commissioned every year to compile the water usage of various targets from the previous year, which has long been valued by economic and water-related units as well as academic research units. The aim is to provide the government with clear statistical data on water usage to facilitate the formulation of water usage policies and to serve as a reference for water resource planning. The Water Resources Agency publishes the Water Usage Statistics Report annually to provide the public with valuable information. The statistical and writing methods of the previous annual reports have been used for many years. In recent years, the development and application of water resources have become increasingly diverse, and water resource management has become more sophisticated. Statistical estimation of water usage and water source through limited data is used as a basis for water resource planning and management. The data range is based on each county and city as the statistical unit, and the data is used to understand the actual water usage status of various targets.
Data on average daily household and per person water usage across the U.S. in 2025.
As included in the EnviroAtlas, 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). For the purposes of this metric, these publicly-supplied estimates are also applied and considered representative of local self-supplied water use. Local use data, as prepared for several cities for the Chicago Metropolitan Agency for Planning and at the county level by USGS, were used. Within the Chicago study area, the 1998-2010 average estimates ranged from 33 to 196 GPD. This dataset was produced by the U.S. 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).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Data is collected from a house.There are two tanks. Sump is underground, from which the water is pumped to the overhead tanks Tank1 and Tank2.
An Ultrasonic distance sensor is mounted near the top of each tank that monitors and logs the distance of the water surface from the sensor at fixed intervals.
There are 13 sets of data for Tank 1 and 16 sets of data for Tank 2. The description reg. these datasets are given in Tank 1-Data Description.xlsx and Tank 2-Data Description.xlsx, respectively.
The data logged is the vertical distance of the water surface in the tank from the sensor's location. The minimum reading of sensor is 19 cm which indicates full tank and the maximum reading is 88cm which indicates an empty tank.
So to calculate the percentage of tank that has been filled as of now, we use the formula: percent_full=100-(100*(data-19)/(88-19)))
The data logged is the one adjusted with calibration equation. The equation found is as follows:
Sensor calibration results: f(x) = p1*x + p2 Coefficients (with 95% confidence bounds): p1 = 1.033 (1.024, 1.042) p2 = 1.187 (0.7033, 1.67)
Goodness of fit: SSE: 7.109 R-square: 0.9995 Adjusted R-square: 0.9995 RMSE: 0.4951
Note Reg. consumption:
The experimental setup was installed in a house with a Solar water heater (capacity 300 Liters) that gets filled every midnight at 12.00 onwards from Tank 1. Hence, the level changes logged for tank 1 during the hours 00.00 to 03.00 am are high. During the rest of the day, the consumption is that of a regular household.
The household has four adult occupants, with three occupants leaving the house by 10.00 am every weekday and returning by 4.00 pm. Tank 1 is used for supplying all household needs. Tank 2 is used only for gardening purposes.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
A data-driven roundup of U.S. water usage, plumbing industry statistics, and conservation trends for 2025. Includes household water usage, leaks, WaterSense program impact, infrastructure losses, and the future of smart plumbing technologies.
Potable water use by sector and average daily use for Canada, provinces and territories.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Water use by industries and households (cubic metres x 1,000).
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.
A brief history of water consumption in the New York City Water Supply System (Based on New York City Census population)
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
A group of 6 synthetic datasets is provided with a 914 days water consumption time horizon with structural breaks based on actual datasets from a hotel and hospital. The parameters of the best-fit probability distributions to the actual water consumption data were used to generate these datasets. The distributions used that best fit the datasets used were the gamma distribution for the hotel data set and the gamma and logistics distribution for the hospital dataset. Two structural breaks of 5% and 10% in the mean of the distributions were added to simulate reductions in water consumption patterns.
This publication covers the abstraction of water from non tidal, surface water and groundwater in England.
Water is a vital resource that needs to be managed carefully to ensure that people have access to affordable and safe drinking water and sanitation. Furthermore, to ensure that the needs of industry are met, without depleting water resources or damaging ecosystems.
The datasets associated with this publication can be found here ENV15 - Water abstraction tables
Defra statistics: environment
https://data.gov.tw/licensehttps://data.gov.tw/license
This dataset is commissioned annually to compile and produce the utilization of water for each subject, which has long been valued by the economic and water resources-related units and academic research units. The aim is to provide clear statistical data for the government to facilitate the formulation of water usage policies and serve as a reference for water resource planning by all sectors. The Water Resources Agency publishes the water usage statistics report annually to provide the public with valuable information. The statistical and compilation methods of the annual report have been used for many years. In recent years, the development and application of water resources have become increasingly diverse, and water resource management has become increasingly sophisticated. By using limited data to estimate the water usage and source of water for each subject, it serves as a reference for water resource planning and management. The data covers the northern, central, southern, and eastern regions, with the purpose of understanding the actual water usage status of each subject.
https://data.gov.tw/licensehttps://data.gov.tw/license
Water consumption: The water company compiles monthly water usage statistics for each park area.
The average person in England and Wales used roughly *** liters of water per day as of 2024. This means that a household of four could potentially use more than *** liters of water a day. Portsmouth Water customers had the highest daily water usage in England and Wales in 2023, at *** liters per person. Metered and un-metered water usage The amount of water consumed by households can vary depending on whether the customer has a water meter installed. On average, households in England and Wales with a water meter consumed around ** liters less per person than those without a water meter. While most homes have traditional water meters, smart water meters have been rolled out since 2016. These allow customers to track water usage, save money, and allow water companies to detect leaks. What uses the most water in UK homes? The average water consumption of household appliances varies greatly, with some using significantly more than others. A full bath uses the largest amount of water by far, at approximately ** liters. This is ** liters more than the average washing machine cycle. Meanwhile, a dishwasher on an eco-setting can noticeably reduce water consumption when compared with a regular cycle.
Monthly consumption and cost data by borough and development. Data set includes utility vendor and meter information.