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Chiayi County Government Department of Finance, Schedule for Internal Unit's Advance Notice Time Table
Exact dates of HMRC’s statistics are announced no later than 4 weeks in advance on the statistics release calendar. As part of the Code of Practice for Statistics, any changes to the schedule will be stated and detailed in the announcements page.
Announcements for previous years can be found on https://webarchive.nationalarchives.gov.uk/ukgwa/*/https://www.gov.uk/government/statistics/schedule-of-updates-for-hmrcs-statistics" class="govuk-link">The National Archives.
A schedule of reports released by Statistics Jersey.
A schedule of datasets that New York City agencies will make available on nyc.gov/data
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Industrial Development Bureau announces the schedule for the release of statistical data - 1070110
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Education Department announces the schedule for the release of statistical data 1070110
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Key Table Information.Table Title.State and Local Government Employment and Payroll Data: U.S. and States: 2017 - 2024.Table ID.GOVSTIMESERIES.GS00EP01.Survey/Program.Public Sector.Year.2024.Dataset.PUB Public Sector Annual Surveys and Census of Governments.Source.U.S. Census Bureau, Public Sector.Release Date.2025-03-27.Release Schedule.The Annual Survey of Public Employment & Payroll occurs every year, except in Census years. Data are typically released yearly in the first quarter. There is approximately one year between the reference period and data release. Revisions to published data occur annually for the next two years. Census of Governments years, those ending in '2' and '7' may have slightly later releases due to extended processing time..Dataset Universe.Census of Governments - Organization (CG):The universe of this file is all federal, state, and local government units in the United States. In addition to the federal government and the 50 state governments, the Census Bureau recognizes five basic types of local governments. The government types are: County, Municipal, Township, Special District, and School District. Of these five types, three are categorized as General Purpose governments: County, municipal, and township governments are readily recognized and generally present no serious problem of classification. However, legislative provisions for school district and special district governments are diverse. These two types are categorized as Special Purpose governments. Numerous single-function and multiple-function districts, authorities, commissions, boards, and other entities, which have varying degrees of autonomy, exist in the United States. The basic pattern of these entities varies widely from state to state. Moreover, various classes of local governments within a particular state also differ in their characteristics. Refer to the Individual State Descriptions report for an overview of all government entities authorized by state.The Public Use File provides a listing of all independent government units, and dependent school districts active as of fiscal year ending June 30, 2024. The Annual Surveys of Public Employment & Payroll (EP) and State and Local Government Finances (LF):The target population consists of all 50 state governments, the District of Columbia, and a sample of local governmental units (counties, cities, townships, special districts, school districts). In years ending in '2' and '7' the entire universe is canvassed. In intervening years, a sample of the target population is surveyed. Additional details on sampling are available in the survey methodology descriptions for those years.The Annual Survey of Public Pensions (PP):The target population consists of state- and locally-administered defined benefit funds and systems of all 50 state governments, the District of Columbia, and a sample of local governmental units (counties, cities, townships, special districts, school districts). In years ending in '2' and '7' the entire universe is canvassed. In intervening years, a sample of the target population is surveyed. Additional details on sampling are available in the survey methodology descriptions for those years.The Annual Surveys of State Government Finance (SG) and State Government Tax Collections (TC):The target population consists of all 50 state governments. No local governments are included. For the purpose of Census Bureau statistics, the term "state government" refers not only to the executive, legislative, and judicial branches of a given state, but it also includes agencies, institutions, commissions, and public authorities that operate separately or somewhat autonomously from the central state government but where the state government maintains administrative or fiscal control over their activities as defined by the Census Bureau. Additional details are available in the survey methodology description.The Annual Survey of School System Finances (SS):The Annual Survey of School System Finances targets all public school systems providing elementary and/or secondary education in all 50 states and the District of Columbia..Methodology.Data Items and Other Identifying Records.Full-time and part-time employmentFull-time and part-time payrollPart-time hours worked (prior to 2019)Full-time equivalent employmentTotal full-time and part-time employmentTotal full-time and part-time payrollDefinitions can be found by clicking on the column header in the table or by accessing the Glossary.For detailed information, see Government Finance and Employment Classification Manual..Unit(s) of Observation.The basic reporting unit is the governmental unit, defined as an organized entity which in addition to having governmental character, has sufficient discretion in the management of its own affairs to distinguish it as separate from the administrative structure of any other governmental unit.The reporting units for the Annual Survey of School System Finances are public school sy...
The Taking Part Survey has run since 2005 and is the key evidence source for DCMS. It is a continuous face to face household survey of adults aged 16 and over in England and children aged 5 to 15 years old.
The child Taking Part report can be found here.
The Taking Part Survey provides reliable national estimates of engagement with the arts, heritage, museums, libraries, digital and social networking. It carries the National Statistics badge, meaning that it meets the highest standards of statistical quality.
The Taking Part Survey provides reliable national estimates of adult engagement with the arts, heritage, museums, libraries, digital and social networking and of barriers to engagement. The latest data cover the period April 2019 to March 2020.
Data tables for the Archive, Charitable Giving and Volunteering estimates can be found here:
Fieldwork for the Taking Part survey was terminated before its intended end date due to the COVID-19 coronavirus pandemic. We do not expect that either the pandemic or reduced fieldwork has affected the accuracy of our estimates. A summary of the analysis of the possible effects of early termination of fieldwork can be found the Taking Part Year 15 https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/916246/Taking_Part_Technical_Report_2019_20.pdf" class="govuk-link">technical report
The previous Taking Part release was published on 19 September 2019, covering the period April 2018 to March 2019.
The pre-release access document above contains a list of ministers and officials who have received privileged early access to this release of Taking Part data. In line with best practice, the list has been kept to a minimum and those given access for briefing purposes had a maximum of 24 hours. Details on the pre-release access arrangements for this dataset are available in the accompanying material.
This release is published in accordance with the Code of Practice for Statistics (2018), as produced by the UK Statistics Authority. The Authority has the overall objective of promoting and safeguarding the production and publication of official statistics that serve the public good. It monitors and reports on all official statistics, and promotes good practice in this area.
The responsible statistician for this release is Alistair Rice. For enquiries on this release, contact takingpart@dcms.gov.uk.
Taking Part is a household survey in England that measures engagement with the cultural sectors. The sur
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2024-2025 DSDI Open Data Release Schedule
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This dataset contains data collected during a study "Smarter open government data for Society 5.0: are your open data smart enough" (Sensors. 2021; 21(15):5204) conducted by Anastasija Nikiforova (University of Latvia). It being made public both to act as supplementary data for "Smarter open government data for Society 5.0: are your open data smart enough" paper and in order for other researchers to use these data in their own work.
The data in this dataset were collected in the result of the inspection of 60 countries and their OGD portals (total of 51 OGD portal in May 2021) to find out whether they meet the trends of Society 5.0 and Industry 4.0 obtained by conducting an analysis of relevant OGD portals.
Each portal has been studied starting with a search for a data set of interest, i.e. “real-time”, “sensor” and “covid-19”, follwing by asking a list of additional questions. These questions were formulated on the basis of combination of (1) crucial open (government) data-related aspects, including open data principles, success factors, recent studies on the topic, PSI Directive etc., (2) trends and features of Society 5.0 and Industry 4.0, (3) elements of the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use Model (UTAUT).
The method used belongs to typical / daily tasks of open data portals sometimes called “usability test” – keywords related to a research question are used to filter data sets, i.e. “real-time”, “real time” and “real time”, “sensor”, covid”, “covid-19”, “corona”, “coronavirus”, “virus”. In most cases, “real-time”, “sensor” and “covid” keywords were sufficient.
The examination of the respective aspects for less user-friendly portals was adapted to particular case based on the portal or data set specifics, by checking:
1. are the open data related to the topic under question ({sensor; real-time; Covid-19}) published, i.e. available?
2. are these data available in a machine-readable format?
3. are these data current, i.e. regularly updated? Where the criteria on the currency depends on the nature of data, i.e. Covid-19 data on the number of cases per day is expected to be updated daily, which won’t be sufficient for real-time data as the title supposes etc.
4. is API ensured for these data? having most importance for real-time and sensor data;
5. have they been published in a timely manner? which was verified mainly for Covid-19 related data. The timeliness is assessed by comparing the dates of the first case identified in a given country and the first release of open data on this topic.
6. what is the total number of available data sets?
7. does the open government data portal provides use-cases / showcases?
8. does the open government portal provide an opportunity to gain insight into the popularity of the data, i.e. does the portal provide statistics of this nature, such as the number of views, downloads, reuses, rating etc.?
9. is there an opportunity to provide a feedback, comment, suggestion or complaint?
10. (9a) is the artifact, i.e. feedback, comment, suggestion or complaint, visible to other users?
Format of the file .xls, .ods, .csv (for the first spreadsheet only)
Licenses or restrictions CC-BY
For more info, see README.txt
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Mexico Federal Govt & Social Security: Year to Date: Net Financing: Foreign data was reported at 47,590.116 MXN mn in Feb 2019. This records a decrease from the previous number of 48,802.934 MXN mn for Jan 2019. Mexico Federal Govt & Social Security: Year to Date: Net Financing: Foreign data is updated monthly, averaging 3,516.200 MXN mn from Jan 1990 (Median) to Feb 2019, with 350 observations. The data reached an all-time high of 170,012.895 MXN mn in Aug 2016 and a record low of -200,452.729 MXN mn in Nov 2006. Mexico Federal Govt & Social Security: Year to Date: Net Financing: Foreign data remains active status in CEIC and is reported by Secretary of Finance and Public Credit. The data is categorized under Global Database’s Mexico – Table MX.F013: Federal Government and Social Security Operations: Year to Date.
Economic activity indicators showing the employment status and working patterns of people living in urban and rural areas.
These documents are part of the larger compendium publication the Statistical Digest of Rural England, a collection of rural statistics on a wide range of social and economic government policy areas. The statistics allow comparisons between the different rural and urban area classifications.
Indicators:
Data source: Office for National Statistics (ONS) Annual Business Inquiry (ABI)
Coverage: England
Rural classification used: Office for National Statistics Rural Urban Classification
Next release date: tbc
Defra statistics: rural
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Our Price Paid Data includes information on all property sales in England and Wales that are sold for value and are lodged with us for registration.
Get up to date with the permitted use of our Price Paid Data:
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Contains HM Land Registry data © Crown copyright and database right 2021. This data is licensed under the Open Government Licence v3.0.
Price Paid Data is released under the http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/" class="govuk-link">Open Government Licence (OGL). You need to make sure you understand the terms of the OGL before using the data.
Under the OGL, HM Land Registry permits you to use the Price Paid Data for commercial or non-commercial purposes. However, OGL does not cover the use of third party rights, which we are not authorised to license.
Price Paid Data contains address data processed against Ordnance Survey’s AddressBase Premium product, which incorporates Royal Mail’s PAF® database (Address Data). Royal Mail and Ordnance Survey permit your use of Address Data in the Price Paid Data:
If you want to use the Address Data in any other way, you must contact Royal Mail. Email address.management@royalmail.com.
The following fields comprise the address data included in Price Paid Data:
The May 2025 release includes:
As we will be adding to the April data in future releases, we would not recommend using it in isolation as an indication of market or HM Land Registry activity. When the full dataset is viewed alongside the data we’ve previously published, it adds to the overall picture of market activity.
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These include standard and additional price paid data transactions received at HM Land Registry from 1 January 1995 to the most current monthly data.
Your use of Price Paid Data is governed by conditions and by downloading the data you are agreeing to those conditions.
The data is updated monthly and the average size of this file is 3.7 GB, you can download:
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Graph and download economic data for Federal Government: Current Expenditures (FGEXPND) from Q1 1947 to Q1 2025 about expenditures, federal, government, GDP, and USA.
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The "Activation Application" data list of the government data open platform includes the release date, title, application overview, application features, application open data, creator, recommended links, and type.
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Government Debt in the United States decreased to 36211469 USD Million in June from 36215818 USD Million in May of 2025. This dataset provides - United States Government Debt- actual values, historical data, forecast, chart, statistics, economic calendar and news.
This summary table shows, for Budget Receipts, the total amount of activity for the current month, the current fiscal year-to-date, the comparable prior period year-to-date and the budgeted amount estimated for the current fiscal year for various types of receipts (i.e. individual income tax, corporate income tax, etc.). The Budget Outlays section of the table shows the total amount of activity for the current month, the current fiscal year-to-date, the comparable prior period year-to-date and the budgeted amount estimated for the current fiscal year for functions of the federal government. The table also shows the amounts for the budget/surplus deficit categorized as listed above. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.
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Russia Federal Government Expenditure: Year to Date: General Government data was reported at 1,022.327 RUB bn in Jul 2022. This records an increase from the previous number of 875.499 RUB bn for Jun 2022. Russia Federal Government Expenditure: Year to Date: General Government data is updated monthly, averaging 422.631 RUB bn from Jan 2005 (Median) to Jul 2022, with 211 observations. The data reached an all-time high of 1,759.490 RUB bn in Dec 2021 and a record low of 15.700 RUB bn in Jan 2006. Russia Federal Government Expenditure: Year to Date: General Government data remains active status in CEIC and is reported by Federal Treasury. The data is categorized under Global Database’s Russian Federation – Table RU.FB004: Federal Government Expenditure: ytd.
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China Government Expenditure: Year to Date data was reported at 7,281.500 RMB bn in Mar 2025. This records an increase from the previous number of 4,509.600 RMB bn for Feb 2025. China Government Expenditure: Year to Date data is updated monthly, averaging 7,201.659 RMB bn from Jan 2007 (Median) to Mar 2025, with 212 observations. The data reached an all-time high of 28,461.200 RMB bn in Dec 2024 and a record low of 187.086 RMB bn in Jan 2007. China Government Expenditure: Year to Date data remains active status in CEIC and is reported by Ministry of Finance. The data is categorized under China Premium Database’s Government and Public Finance – Table CN.FA: Government Revenue and Expenditure: Monthly.
This table shows the gross outlays, applicable receipts and net outlays for the current month, current fiscal year-to-date and prior fiscal year-to-date by various agency programs accounted for in the budget of the federal government. This table includes total and subtotal rows that should be excluded when aggregating data. Some rows represent elements of the dataset's hierarchy, but are not assigned values. The classification_id for each of these elements can be used as the parent_id for underlying data elements to calculate their implied values. Subtotal rows are available to access this same information.
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Chiayi County Government Department of Finance, Schedule for Internal Unit's Advance Notice Time Table