Dataset of all the data supplied by each local authority and imputed figures used for national estimates.
This file is no longer being updated to include any late revisions local authorities may have reported to the department. Please use instead the Local authority housing statistics open data file for the latest data.
MS Excel Spreadsheet, 1.26 MB
This file may not be suitable for users of assistive technology.
Request an accessible format.According to a 2023 survey of U.S. adults, those living in Eastern states were much more likely to identify as Democrat or Democrat-leaning than those living in the South.
These values include not only those surveyed who identified with a major political party, but also those who identified as independent, but have leanings towards one party over another.
https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.3/customlicense?persistentId=doi:10.7910/DVN/0XDYNKhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.3/customlicense?persistentId=doi:10.7910/DVN/0XDYNK
Replication data for my dissertation, "Identity and Policymaking: The Policy Impact of Gender Quota Laws". Data and code are organized separately by chapter. Abstract: Does politician identity matter to policy outcomes? Political scientists tend to be skeptical of the idea because of the strong role of electoral incentives. Yet the argument for greater diversity in public office often relies upon exactly this claim. To make progress on this question, my dissertation examines the political impact of gender quota laws, which require all parties to include a percentage of women in their candidate lists. I argue that quotas help overcome a political market failure, whereby group interests are unlikely to be represented in politics if the group faces high barriers to entry and their interests lie off the main left-right (class-based) dimension in politics. Using survey data, I show that the largest gender gap in advanced democracies exists on maternal employment, and it cuts across partisan ties. I evaluate the argument using a mixed methods approach, combining statistical analysis of time series data with qualitative evidence from two matched pair case studies -- Belgium and Austria, and Portugal and Italy. After showing that quota laws are one of the most important determinants of women's descriptive representation, I demonstrate that they also increase both party- and national-level attention to women's preferences. Implementing a quota law increases coverage of women's social policy concerns in manifestos, and raises public spending on child care, which encourages maternal employment. Evidence from case studies suggests that increased numbers of women and rising issue salience after a quota are both important mechanisms linking quotas to policy change. Overall, the findings provide new insights about when and how politician identity is relevant to policies. Results point towards the importance of descriptive representation particularly when group demands are orthogonal to the left-right dimension. They highlight several ways that quotas, and increased numbers of women, can shift policies even in the context of strong parties.
http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence
Local Authority financial statistics Source agency: Communities and Local Government Designation: National Statistics Language: English Alternative title: Local Government Financial Statistics, England
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Graph and download economic data for All Employees: Government in Provo-Orem-Lehi, UT (MSA) (PROV349GOVT) from Jan 1990 to Jun 2025 about Provo, UT, government, employment, and USA.
Official statistics are produced impartially and free from political influence.
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Graph and download economic data for All Employees: Government in Lima, OH (MSA) (LIMA639GOVT) from Jan 1990 to Jul 2025 about Lima, OH, government, employment, and USA.
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Academia Sinica cross-county popular science talks
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Vietnam VN: Government Expenditure on Education: Total: % of GDP data was reported at 5.652 % in 2013. This records an increase from the previous number of 5.533 % for 2012. Vietnam VN: Government Expenditure on Education: Total: % of GDP data is updated yearly, averaging 5.012 % from Dec 2008 (Median) to 2013, with 6 observations. The data reached an all-time high of 5.652 % in 2013 and a record low of 4.814 % in 2011. Vietnam VN: Government Expenditure on Education: Total: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank: Education Statistics. General government expenditure on education (current, capital, and transfers) is expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Median;
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Niger NE: Government Expenditure per Student: Secondary: % of(GDP) Gross Domestic Productper Capita data was reported at 64.563 % in 2015. This records a decrease from the previous number of 72.458 % for 2014. Niger NE: Government Expenditure per Student: Secondary: % of(GDP) Gross Domestic Productper Capita data is updated yearly, averaging 50.774 % from Dec 2006 (Median) to 2015, with 10 observations. The data reached an all-time high of 72.458 % in 2014 and a record low of 42.552 % in 2010. Niger NE: Government Expenditure per Student: Secondary: % of(GDP) Gross Domestic Productper Capita data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Niger – Table NE.World Bank: Education Statistics. Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Median;
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Laos LA: Domestic General Government Health Expenditure: % of GDP data was reported at 0.988 % in 2015. This records an increase from the previous number of 0.765 % for 2014. Laos LA: Domestic General Government Health Expenditure: % of GDP data is updated yearly, averaging 0.843 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 1.539 % in 2001 and a record low of 0.408 % in 2011. Laos LA: Domestic General Government Health Expenditure: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Laos – Table LA.World Bank: Health Statistics. Public expenditure on health from domestic sources as a share of the economy as measured by GDP.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
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Graph and download economic data for All Employees: Government: State Government in Yuba City, CA (MSA) (SMU06497009092000001SA) from Jan 1990 to May 2025 about Yuba City, state govt, CA, government, employment, and USA.
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License information was derived automatically
Saint Lucia LC: Government Expenditure on Education: Total: % of GDP data was reported at 5.710 % in 2016. This records an increase from the previous number of 4.374 % for 2015. Saint Lucia LC: Government Expenditure on Education: Total: % of GDP data is updated yearly, averaging 4.689 % from Dec 1982 (Median) to 2016, with 19 observations. The data reached an all-time high of 7.770 % in 1994 and a record low of 3.440 % in 2009. Saint Lucia LC: Government Expenditure on Education: Total: % of GDP data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s St. Lucia – Table LC.World Bank: Education Statistics. General government expenditure on education (current, capital, and transfers) is expressed as a percentage of GDP. It includes expenditure funded by transfers from international sources to government. General government usually refers to local, regional and central governments.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Median;
See our new monthly data page for data from November 2024 onwards.
These official statistics were independently reviewed by the Office for Statistics Regulation in May 2022. They comply with the standards of trustworthiness, quality and value in the https://code.statisticsauthority.gov.uk/" class="govuk-link">Code of Practice for Statistics and should be labelled ‘accredited official statistics’. Accredited official statistics are called National Statistics in the Statistics and Registration Service Act 2007. Further explanation of accredited official statistics can be found on the https://osr.statisticsauthority.gov.uk/accredited-official-statistics/" class="govuk-link">Office for Statistics Regulation website.
In response to user feedback, we are testing alternative ways of presenting the monthly data sets as visualisations on the UKHSA data dashboard. The current data sets will continue to be published as normal and users will be consulted prior to any significant changes. We encourage users to review and provide feedback on the new dashboard content.
Monthly counts of total reported, hospital-onset, hospital-onset healthcare associated (HOHA), community-onset healthcare associated (COHA), community-onset and community-onset community associated (COCA) MRSA bacteraemias by NHS organisations.
These documents contain the monthly counts of total reported, hospital-onset and community-onset MRSA bacteraemia by NHS organisations.
The UK Government Web Archive contains MRSA bacteraemia data from previous financial years, including:
data from https://webarchive.nationalarchives.gov.uk/ukgwa/20230510143423/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-location-of-onset" class="govuk-link">2022 to 2023
data from https://webarchive.nationalarchives.gov.uk/ukgwa/20220614173109/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-location-of-onset" class="govuk-link">2021 to 2022
data from https://webarchive.nationalarchives.gov.uk/20210507180210/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-location-of-onset" class="govuk-link">2020 to 2021
data from https://webarchive.nationalarchives.gov.uk/20200506173036/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-location-of-onset" class="govuk-link">2019 to 2020
data from https://webarchive.nationalarchives.gov.uk/20190508011104/https://www.gov.uk/government/collections/staphylococcus-aureus-guidance-data-and-analysis" class="govuk-link">2018 to 2019
data from https://webarchive.nationalarchives.gov.uk/20180510152304/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-attributed-clinical-commissioning-group" class="govuk-link">2017 to 2018
data from https://webarchive.nationalarchives.gov.uk/20170515101840tf_/https://www.gov.uk/government/statistics/mrsa-bacteraemia-monthly-data-by-attributed-clinical-commissioning-group" class="govuk-link">2013 to 2014, up to 2016 to 2017
data from https://webarchive.nationalarchives.gov.uk/20140712114853tf_/http://www.hpa.org.uk/web/HPAweb&HPAwebStandard/HPAweb_C/1254510675444" class="govuk-link">2013 and earlier
The Comprehensive Annual Financial Reports are presented in three main sections; the Introductory Section, the Financial Section, and the Statistical Section. The Introductory Section includes a financial overview, discussion of Iowa's economy and an organizational chart for State government. The Financial Section includes the state auditor's report, management's discussion and analysis, audited basic financial statements and notes thereto, and the underlying combining and individual fund financial statements and supporting schedules. The Statistical Section sets forth selected unaudited economic, financial trend and demographic information for the state on a multi-year basis. Reports for multiple fiscal years are available.
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Graph and download economic data for All Employees: Government in Louisiana (LAGOVTN) from Jan 1990 to Jun 2025 about LA, government, employment, and USA.
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Graph and download economic data for All Employees: State Government in Midland, TX (MSA) (SMU48332609092000001A) from 1990 to 2024 about Midland, state govt, TX, government, employment, and USA.
Open Data Commons Attribution License (ODC-By) v1.0https://www.opendatacommons.org/licenses/by/1.0/
License information was derived automatically
Dataset provided in .json format, provides simple information about 421 YouTube channels with average of 10 videos per channel. Each channel contain information for coresponding media outlet generated from https://mediabiasfactcheck.com. For each video there is information downloaded from YouTube API (title, description, statistics) as well as generated features as BERT, NELA, OpenSmile. For more information check https://github.com/yoandinkov/interspeech-2019/blob/master/docs/dataset.md
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Graph and download economic data for All Employees: Government: Local Government Excluding Educational Services in Nevada (SMU32000009093200001) from Jan 2011 to Jun 2025 about local govt, NV, education, government, services, employment, and USA.
Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).
Dataset of all the data supplied by each local authority and imputed figures used for national estimates.
This file is no longer being updated to include any late revisions local authorities may have reported to the department. Please use instead the Local authority housing statistics open data file for the latest data.
MS Excel Spreadsheet, 1.26 MB
This file may not be suitable for users of assistive technology.
Request an accessible format.