CN: Industrial Enterprise: Collective Owned: YoY: Total Asset data was reported at 2.700 % in Sep 2018. This records a decrease from the previous number of 4.700 % for Aug 2018. CN: Industrial Enterprise: Collective Owned: YoY: Total Asset data is updated monthly, averaging 13.200 % from Jan 2001 (Median) to Sep 2018, with 185 observations. The data reached an all-time high of 23.500 % in Feb 2011 and a record low of 2.100 % in Apr 2016. CN: Industrial Enterprise: Collective Owned: YoY: Total Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BF: Industrial Financial Data: Collective Owned Enterprise.

CN: Industrial Enterprise: Collective Owned: Total Asset data was reported at 454.080 RMB bn in May 2018. This records a decrease from the previous number of 454.880 RMB bn for Apr 2018. CN: Industrial Enterprise: Collective Owned: Total Asset data is updated monthly, averaging 559.691 RMB bn from Jan 2001 (Median) to May 2018, with 185 observations. The data reached an all-time high of 945.107 RMB bn in Nov 2001 and a record low of 421.394 RMB bn in Dec 2013. CN: Industrial Enterprise: Collective Owned: Total Asset data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BF: Industrial Financial Data: Collective Owned Enterprise.

The National Rivers and Streams Assessment (NRSA) is a statistical survey of the condition of our nation's perennial rivers and streams. It is designed to provide information on the extent of flowing waters that support healthy biological condition and recreation, estimate how widespread major stressors are that impact the nation’s rivers and streams water quality, and provide insight into whether rivers and streams nationwide are getting cleaner. This dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NRSA (2013/2014) report. Sampling was conducted over two summer index periods (June through September 2013 and 2014) at approximately 2000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, benthic macroinvertebrates, fish assemblage, physical habitat, landscape metrics, enterococci, etc. Users are encouraged to visit the NARS data webpage for updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys Citation for the NRSA 2013/2014 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Rivers and Streams Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-rivers-and-streams-assessment-2013-2014. EPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Rivers and Streams Assessment 2013/2014 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.” Additional information: NRSA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section. Citation information for this dataset can be found in Data.gov's References section.

CN: Industrial Enterprise: Collective Owned: YoY: Sales Tax & Surcharge: ytd data was reported at -3.600 % in Dec 2015. This records a decrease from the previous number of -1.000 % for Nov 2015. CN: Industrial Enterprise: Collective Owned: YoY: Sales Tax & Surcharge: ytd data is updated monthly, averaging 11.600 % from Jan 2001 (Median) to Dec 2015, with 152 observations. The data reached an all-time high of 36.600 % in Apr 2006 and a record low of -8.500 % in Jul 2015. CN: Industrial Enterprise: Collective Owned: YoY: Sales Tax & Surcharge: ytd data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BF: Industrial Financial Data: Collective Owned Enterprise.

The National Wetland Condition Assessment (NWCA) is a statistical survey of the condition of wetlands in the conterminous United States. It is designed to provide information on the extent of wetlands that support healthy biological condition, estimate how widespread major stressors are that impact wetland quality, and provide insight into the ecological integrity of wetlands nationwide. This dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NWCA 2021 report. Sampling was conducted in the spring and summer of 2021 at approximately 1,000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include site information, vegetation characteristics, hydrology sources and disturbances, physical habitat, landscape metrics, algal toxins (microcystin), and water chemistry. Users are encouraged to visit the NARS data webpage for updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys. Citation for the NWCA 2021 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Wetland Condition Assessment 2021 Report. Archived Data. Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-wetland-condition-assessment-2021. DOI: 10.23719/1531930 EPA encourages users who are publishing subsets of the data (e.g., as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Wetland Condition Assessment 2021 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.” Additional information: NWCA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section.

National Lakes Assessment 2007 Datafiles for Report “National Lakes Assessment: A Collaborative Survey of the Nation’s Lakes”: The National Lakes Assessment (NLA) is a statistical survey of the condition of our nation's lakes, ponds, and reservoirs. It is designed to provide information on the extent of lakes that support healthy biological condition and recreation, estimate how widespread major stressors are that impact lake quality, and provide insight into whether lakes nationwide are getting cleaner. The first NLA was conducted in 2007. This dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NLA report. Sampling was conducted in the summer of 2007 at approximately 1000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, profile data, benthic macroinvertebrates, physical habitat, landscape metrics, phytoplankton data, secchi depth, data, tropic status, water isotopes, zooplankton, etc. Users are encouraged to visit the NARS data webpage for potential updates to data files and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys Citation for the NLA 2007 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Lakes Assessment 2007 Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/national-lakes-assessment-2007-report. DOI: 10.23719/1529550 EPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Lakes Assessment 2007 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.” Additional information: NLA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section.

This document contains the R scripts (.R) and Data environments necessary to replicate the analysis in "The Role of State & National Institutional Evaluations in Fostering Collective Accountability Across the U.S. States" forthcoming at Political Research Quarterly. Please note that the prq_2024_read_me.pdf read-me file contains detailed descriptions of each R script and data environment needed to replicate the manuscript analysis.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS (10.6.x) file geodatabase. To map the vegetation and land cover of the parks within the National Capital Region, the region initiated collective mapping efforts at 10 parks (NPS unit codes: ANTI, CATO, CHOH, GWMP, HAFE, MANA, MONO, NACE, PRWI, WOTR). NatureServe assisted with field plots, accuracy assessment, and building the vegetation classification for the vegetation map. This geospatial dataset only covers Monocacy National Battlefield.

China Industrial Enterprise: Collective Owned: Total Asset: Net Fixed: Average Balance data was reported at 155,701.000 RMB mn in 2008. This records a decrease from the previous number of 182,215.000 RMB mn for 2007. China Industrial Enterprise: Collective Owned: Total Asset: Net Fixed: Average Balance data is updated yearly, averaging 220,483.000 RMB mn from Dec 1998 (Median) to 2008, with 11 observations. The data reached an all-time high of 382,716.000 RMB mn in 1998 and a record low of 155,701.000 RMB mn in 2008. China Industrial Enterprise: Collective Owned: Total Asset: Net Fixed: Average Balance data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Industrial Sector – Table CN.BF: Industrial Financial Data: Collective Owned Enterprise.

The National Lakes Assessment (NLA) is a statistical survey of the condition of our nation's lakes, ponds, and reservoirs. It is designed to provide information on the extent of lakes that support healthy biological condition and recreation, estimate how widespread major stressors are that impact lake quality, and provide insight into whether lakes nationwide are getting cleaner. This dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NLA 2017 report. Sampling was conducted in the summer of 2017 at approximately 1000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, profile data, benthic macroinvertebrates, physical habitat, landscape metrics, phytoplankton data, secchi depth, data, tropic status, zooplankton, etc. Users are encouraged to visit the NARS data webpage for updates to data files (e.g., for example updated zooplankton files) and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys Citation for the NLA 2017 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Lakes Assessment 2017 Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-lakes-assessment-2017. DOI: 10.23719/1529585 EPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Lakes Assessment 2017 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.” Additional information: NLA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section.

The National Marine Mammal Laboratory (NMML), a division of NOAA's Alaska Fisheries Science Center (Seattle, WA) and Cascadia Research Collective (Olympia, WA), conducted aerial and small boat line transects to estimate the abundance of harbor porpoises in waters of Oregon, Washington, and British Columbia, Canada. This dataset contains line transect survey data with effort (line length) and sighting data (species, group size, distance/angle) and associated covariate data.

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS (10.6.x) file geodatabase. To map the vegetation and land cover of the parks within the National Capital Region, the region initiated collective mapping efforts at 10 parks (NPS unit codes: ANTI, CATO, CHOH, GWMP, HAFE, MANA, MONO, NACE, PRWI, WOTR). NatureServe assisted with field plots, accuracy assessment, and building the vegetation classification for the vegetation map. This geospatial dataset only covers Antietam National Battlefield.

This table contains detailed data on final consumption expenditure which are divided into categories conform the classification of infividual consumption by purpose (COICOP). Total final consumption expenditure consist of actual individual final consumption, the final consumption expenditure by households including non-profit institutions, individual and collective final consumption of general government.

Data available from: 1995.

Status of the figures: Data from 1995 up to and including 2023 are final. Data of 2024 are provisional.

Changes as of June 2025: Data of 2024 have been added to this table.

When will new figures be published? Provisional data are published 6 months after the end of the reporting year. Final data are released 18 months after the end of the reporting year.

Replication data and code for Riedl, C., Kim, Y.J., Gupta, P., Malone, T.W., Woolley, A.W. (2021). “Quantifying Collective Intelligence in Human Groups,” Proceedings of the National Academy of Sciences.

This article considers both presidential approval and party brand differentials, as measured by the generic ballot, to forecast the 2024 U.S. presidential and congressional elections. While both variables are leveraged to forecast collective partisan election outcomes, we consider the variables together as distinct determinants of partisan fortunes at both the executive and legislative levels. First, using a novel time-series of mass national opinion since 1937, we show that presidential approval and generic brands are distinct conceptual and empirical measures of mass public assessments of collective institutions. Second, in a series of fully specified models validated with out-of-sample predictions, we show that presidential approval is the main predictor of presidential elections while, perhaps surprisingly, the vast bulk of the incumbent party's performance in congressional elections is explained by partisan brands. Lastly, we forecast the 2024 U.S. national elections and find that Republicans are well positioned to both win back the White House this November. By contrast, our model forecasts control of both chambers of the U.S. Congress to be essentially a tied contest.

[abstract] The effect of generalised trust on environmental group membership is investigated from a collective action perspective. A cross-national analysis is conducted. It shows a robust and consistent, positive effect of generalised trust on environmental group membership. Drawing on an existing model of environmental group membership, the analysis demonstrates the usefulness of generalised trust and a collective action perspective in that they improve this model.

Costs components. National. .

Annual Labour Cost Survey: Proportion of centres and employees. Annual. National.

The summary data of the Information System on Public Water and Sanitation Services (SISPEA) present, service by service, the fraction of the data available to the general public on the Observatory of Water and Sanitation Services (http://www.services.eaufrance.fr), relevant for each jurisdiction (drinking water, collective sanitation, non-collective sanitation) and required for the annual report of the jurisdiction and the year under consideration. Each file corresponds to the data for one year and one competency and includes a series of data: - Table of data series, by public service: description, indicators, variables, verification notice of State services (services tab) These files correspond to the collective sanitation competence. The description of the services comes from the DDT(M/DEAL/DRIEE) and represents a near-complete census of existing services. Annual data (indicators and variables) are produced, entered and published by local authorities after verification by the State services (DDT(M)/DREAL/DRIEE). Incidentally, they can capture and publish the data, in consultation with the communities. The State services carry out a consistency check on each indicator and translate this check into one of the following three wordings: "without apparent anomaly", "presumption of anomaly" and "anomaly"). Indicators with an "anomaly" opinion are not included in this file because they are considered unusable for the report. Indicators include: the number of inhabitants served; the maximum time limit for opening the procedure; the urban waste water compliance rates of the treatment plants; the asset management index of the networks.

National Lakes Assessment 2012 Datafiles for Report “National Lakes Assessment 2012: A Collaborative Survey of lakes in the United States”: The National Lakes Assessment (NLA) is a statistical survey of the condition of our nation's lakes, ponds, and reservoirs. It is designed to provide information on the extent of lakes that support healthy biological condition and recreation, estimate how widespread major stressors are that impact lake quality, and provide insight into whether lakes nationwide are getting cleaner. This dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NLA 2012 report. Sampling was conducted in the summer of 2012 at approximately 1000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, profile data, benthic macroinvertebrates, physical habitat, landscape metrics, phytoplankton data, secchi depth, data, tropic status, zooplankton, etc. Users are encouraged to visit the NARS data webpage for updates to data files (e.g., for example updated zooplankton files) and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys Citation for the NLA 2012 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Lakes Assessment 2012 Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/national-results-and-regional-highlights-national-lakes. DOI: 10.23719/1529584 EPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Lakes Assessment 2012 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.” Additional information: NLA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. Citation information for this dataset can be found in Data.gov's References section.