Water pollution is a major concern among Americans. In a 2024 survey, some 56 percent of respondents worried a great deal about pollution in drinking water, while 52 percent worried a great deal about pollution of rivers, lakes, and reservoirs.

The ZTRAX data is a national database of property sales collected by Zillow. The data is available to researchers who submit a research proposal to Zillow. Portions of this dataset are inaccessible because: Not publicly available. They can be accessed through the following means: Requires a data sharing agreement with Zillow. Format: National property sales database https://www.zillow.com/research/ztrax/. This dataset is associated with the following publication: Mamun, S., A. Castillo, K. Swedberg, J. Zhang, K.J. Boyle, D. Cardoso, C.L. King, C. Nolte, M. Papenfus, D. Phaneuf, and S. Polasky. Valuing water quality in the United States using a national dataset on property values. PNAS (PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES). National Academy of Sciences, WASHINGTON, DC, USA, 120(5): e2210417120, (2023).

The graph shows the level of concern about water pollution in Mexico as of May 2019. During a survey, 36.4 percent of the respondents with internet-connected smartphones considered water pollution to be a severe problem in their city or municipality.

Some 56 percent of American worried a great deal about polluted drinking water in 2024, according to a survey of approximately 1,000 adults. Meanwhile, seven percent of respondents stated they did not worry at all about drinking water pollution. Overall, the share of American adults who worry a great deal about contaminated drinking water has fallen since 1990.

This statistic depicts the number of occurrences of industrial pollutants discharge into U.S. waterways that have exceeded the limits permitted by the Clean Water Act from January 2016 to September 2017, with a breakdown by state. During the period, Texas had the highest incidence of released pollutants amounting to 938 times.

This data release includes water-quality data collected at 38 sites in central and eastern Massachusetts from April 2018 through May 2019 by the U.S. Geological Survey to support the implementation of site-dependent aluminum criteria for Massachusetts waters. Samples of effluent and receiving surface waters were collected monthly at four wastewater-treatment facilities (WWTFs) and seven water-treatment facilities (WTFs) (see SWQ_data_and_instantaneous_CMC_CCC_values.txt). The measured properties and constituents include pH, hardness, and filtered (dissolved) organic carbon, which are required inputs to the U.S. Environmental Protection Agency's Aluminum Criteria Calculator version 2.0. Outputs from the Aluminum Criteria Calculator are also provided in that file; these outputs consist of acute (Criterion Maximum Concentration, CMC) and chronic (Criterion Continuous Concentration, CCC) instantaneous water-quality values for total recoverable aluminum, calculated for monthly samples at selected ambient sites near each of the 11 facilities. Quality-control data from blank, replicate, and spike samples are provided (see SWQ_QC_data.txt). In addition to data tables, the data release includes time-series graphs of the discrete water-quality data (see SWQ_plot_discrete_all.zip). For pH, time-series graphs also are provided showing pH from the discrete monthly water-quality samples as well as near-continuous pH measured at one surface-water site at each facility (see SWQ_plot_contin_discrete_pH.zip). The near-continuous pH data, along with all of the discrete water-quality data except the quality-control data, are also available online from the U.S. Geological Survey's National Water Information System (NWIS) database (https://nwis.waterdata.usgs.gov/nwis).

The U.S. Geological Survey (USGS), in cooperation with the Missouri Department of Natural Resources (MDNR), collects data pertaining to the surface-water resources of Missouri. These data are collected as part of the Missouri Ambient Water-Quality Monitoring Network (AWQMN) and are stored and maintained by the USGS National Water Information System (NWIS) database. These data constitute a valuable source of reliable, impartial, and timely information for developing an improved understanding of the water resources of the State. Water-quality data collected between 1993 and 2017 were analyzed for long term trends and the network was investigated to identify data gaps or redundant data to assist MDNR on how to optimize the network in the future. This is a companion data release product to the Scientific Investigation Report: Richards, J.M., and Barr, M.N., 2021, General water-quality conditions, long-term trends, and network analysis at selected sites within the Ambient Water-Quality Monitoring Network in Missouri, water years 1993–2017: U.S. Geological Survey Scientific Investigations Report 2021–5079, 75 p., https://doi.org/10.3133/sir20215079. The following selected graphics are included in this data release in .pdf format. Also included in this data release are web pages accessible for people with disabilities provided in compressed .zip format. The web pages present the same information as the .pdf files: Annual and seasonal discharge trends.pdf -- Graphics of discharge trends produced from the EGRET software for selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Annual_and_seasonal_discharge_trends_htm.zip -- Compressed web page presenting graphics of discharge trends produced from the EGRET software for selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Graphics of simulated quarterly sampling frequency trends.pdf -- Graphics of results of simulated quarterly sampling frequency trends produced by the R-QWTREND software at selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Graphics_of_simulated_quarterly_sampling_frequency_trends_htm.zip -- Compressed web page presenting graphics of results of simulated quarterly sampling frequency trends produced by the R-QWTREND software at selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Graphics of median parameter values.pdf -- Graphics of median values for selected parameters at selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Graphics_of_median_parameter_values_htm.zip -- Compressed web page presenting graphics of median values for selected parameters at selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Parameter value versus time.pdf -- Scatter plots of the value of selected parameters versus time at selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Parameter_value_versus_time_htm.zip -- Compressed web page presenting scatter plots of the value of selected parameters versus time at selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Parameter value versus discharge.pdf -- Scatter plots of the value of selected parameters versus discharge at selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Parameter_value_versus_discharge_htm.zip -- Compressed web page presenting scatter plots of the value of selected parameters versus discharge at selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Boxplot of parameter value distribution by season.pdf -- Seasonal boxplots of selected parameters from selected sites in the Missouri Ambient Water-Quality Monitoring Network. Seasons defined as Winter (December, January, and February), Spring (March, April, and May), Summer (June, July, and August), and Fall (September, October, and November). Graphics provided to support the interpretations in the Scientific Investigations Report. Boxplot_of_parameter_value_distribution_by_season_htm.zip -- Compressed web page presenting seasonal boxplots of selected parameters from selected sites in the Missouri Ambient Water-Quality Monitoring Network. Seasons defined as Winter (December, January, and February), Spring (March, April, and May), Summer (June, July, and August), and Fall (September, October, and November). Graphics provided to support the interpretations in the Scientific Investigations Report. Boxplot of sampled discharge compared with mean daily discharge.pdf -- Boxplots of the distribution of discharge collected at the time of sampling of selected parameters compared with the period of record discharge distribution from selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Boxplot_of_sampled_discharge_compared_with_mean_daily_discharge_htm.zip -- Compressed web page presenting boxplots of the distribution of discharge collected at the time of sampling of selected parameters compared with the period of record discharge distribution from selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Boxplot of parameter value distribution by month.pdf -- Monthly boxplots of selected parameters from selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report. Boxplot_of_parameter_value_distribution_by_month_htm.zip -- Compressed web page presenting monthly boxplots of selected parameters from selected sites in the Missouri Ambient Water-Quality Monitoring Network. Graphics provided to support the interpretations in the Scientific Investigations Report.

Data statistics of each water pollution factor in section A.

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 Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. These indicators track facility-based releases to water of 3 substances that are defined as toxic under the Canadian Environmental Protection Act, 1999: mercury, lead and cadmium and their compounds. For each substance, data are provided at the national, regional (provincial and territorial) and facility level, as well as by source. The indicators inform Canadians about releases to water of these 3 substances from facilities in Canada. The Releases of harmful substances to water indicators also help the government to identify priorities and develop or revise strategies to inform further risk management and to track progress on policies put in place to reduce or control these 3 substances and water pollution in general. 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 the data sources and details on how the data were collected and how the indicator was calculated. Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

As of September 2024, around 45 percent of the surface water in China had been categorized as Grade II, which serves mainly as drinking water and belongs to surface water source primary protection zone in China.

China Water Pollution: Tax Revenue: USD data was reported at 3.117 USD bn in 2022. This records an increase from the previous number of 3.101 USD bn for 2021. China Water Pollution: Tax Revenue: USD data is updated yearly, averaging 2.757 USD bn from Dec 1998 (Median) to 2022, with 25 observations. The data reached an all-time high of 3.518 USD bn in 2012 and a record low of 592.103 USD mn in 1998. China Water Pollution: Tax Revenue: USD data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s China – Table CN.OECD.ESG: Environmental: Environmentally Related Tax Revenue: Environmental Protection Domains: Non OECD Member: Annual.

The Chicago Park District maintains sensors in the water at beaches along Chicago's Lake Michigan lakefront. These sensors generally capture the indicated measurements hourly while the sensors are in operation during the summer. During other seasons and at some other times, information from the sensors may not be available. See https://data.cityofchicago.org/d/k7hf-8y75 for a dataset with land-based weather measurements at selected beaches. The sensor locations are listed at https://data.cityofchicago.org/d/g3ip-u8rb.

Please note that sensor locations change with the Park District’s operational needs, primarily related to water quality. For more information on beach operations, please see https://www.chicagoparkdistrict.com/parks-facilities/beaches.

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Marine pollution spills indicator reports the volume of marine pollution spills detected from 2010 to 2017. The indicator also presents data with respect to known sources, including volume and detections per patrol hour of aircraft surveillance. The National Aerial Surveillance Program monitors ships transiting waters under Canadian jurisdiction. The indicator provides an understanding of how active surveillance impacts the occurrence of marine pollution spills. Spills come from ship operations, intentional dumping and accidents. Aerial surveillance is widely adopted worldwide and is considered to be the most effective method for detection of marine pollution spills. The presence of surveillance aircraft acts as a deterrent by discouraging illegal discharges of pollutants at sea. The information gathered is used to enforce the provisions of Canadian legislation applicable to illegal discharges from ships. 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 the data sources and details on how the data were collected and how the indicator was calculated. Supplemental Information Canadian Environmental Sustainability Indicators - Home page: https://www.canada.ca/environmental-indicators

As of March 2024, salinization was the most common groundwater contamination type in India, affecting 8,732 households. Iron was also a recurrent aquifer contaminant, affecting 4,871 households.

Abstract The dataset was derived by the Bioregional Assessment Programme from the Hunter Surface Water Data v2 dataset. The source dataset is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. Daily variation of electrical conductivity (EC) at Denman, Glennies Creek and Singleton stream gauges on the Hunter River from 1993 to 2013 for the Hunter subregion. The …Show full descriptionAbstract The dataset was derived by the Bioregional Assessment Programme from the Hunter Surface Water Data v2 dataset. The source dataset is identified in the Lineage field in this metadata statement. The processes undertaken to produce this derived dataset are described in the History field in this metadata statement. Daily variation of electrical conductivity (EC) at Denman, Glennies Creek and Singleton stream gauges on the Hunter River from 1993 to 2013 for the Hunter subregion. The dataset is an excel spreadsheet containing daily EC data extracted from Streamflow gauging data supplied by NSW Office of Water. It also contains the charts of time series variations in EC at the three locations which appear in the context report. Dataset History Daily variation of electrical conductivity (EC) at Denman on the Hunter River from 1993 to 2013 for the Hunter subregion. Data were extracted from water quality info for selected gauges supplied by the NSW Office of Water. Data are plotted in graphs for the selected gauges in the context report. Dataset Citation Bioregional Assessment Programme (2014) Hunter surface water quality analysis. Bioregional Assessment Derived Dataset. Viewed 09 May 2017, http://data.bioregionalassessments.gov.au/dataset/483ddf2f-76a3-4fc2-b8df-95bbf74fc4a0. Dataset Ancestors Derived From Hunter Surface Water data extracted 20140718 Derived From Hunter Surface Water data v2 20140724

Abstract

This dataset was derived from data provided by the NSW Department of Water (NOW). You can find a link to the source dataset in the Lineage Field in this metadata statement. The History Field in this metadata statement describes how this dataset was derived.

This dataset includes daily variation  of electrical conductivity (EC) for selected stream gauges in the Gloucester subregion. The dataset is an excel spreadsheet containing daily EC data extracted from Streamflow gauging data supplied by NSW Office of Water. It also contains the charts of time series variations in EC at the three locations which appear in the context report.

Dataset History

Data were extracted from water quality information for selected gauges supplied by the NSW Office of Water (NOW). Data are plotted in graphs for the selected gauges in the context report.

Dataset Citation

Bioregional Assessment Programme (XXXX) Gloucester surface water quality analysis. Bioregional Assessment Derived Dataset. Viewed 14 June 2016, http://data.bioregionalassessments.gov.au/dataset/6cf0ff4e-e695-4881-8e83-2fe1d4f3350d.

Dataset Ancestors

• Derived From Gloucester Surface Water Discharge & Quality extract v1 060314

This program, led by Environment and Climate Change Canada (ECCC), is part of a larger national program serving to describe spatial and temporal patterns in water quality on many major rivers in Canada. In Waterton, physical and chemical variables are measured at water quality sites located on the two major rivers that originate in or flow through the park, the Waterton River and the Belly River. These sites are in the headwaters of major rivers that provide ecosystem services for many downstream users (e.g. drinking water) and are upstream of major point- and non-point source pollution. National park sites represent “reference conditions” for comparison to downstream sites. These sites represent a large upstream catchment that can theoretically capture any potential impacts to water quality.

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Water quality in Canadian rivers indicator provide a measure of the ability of river water across Canada to support plants and animals. These indicators provide information about the state of surface water quality and its change through time, to support water resource management. 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 the data sources and details on how the data were collected and how the indicator was calculated. Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators