Unemployment Rate in the United States decreased to 4.10 percent in June from 4.20 percent in May of 2025. This dataset provides the latest reported value for - United States Unemployment Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

In 2020, global gross domestic product declined by 6.7 percent as a result of the coronavirus (COVID-19) pandemic outbreak. In Latin America, overall GDP loss amounted to 8.5 percent.

This dataset is about book subjects. It has 7 rows and is filtered where the books is The trickle-up economy : how we take from the poor and middle class and give to the rich. It features 10 columns including number of authors, number of books, earliest publication date, and latest publication date.

All-City event calendar - ARCHIVED

For the new LA City Events dataset (refreshed daily), see https://data.lacity.org/A-Prosperous-City/LA-City-Events/rx9t-fp7k

The contents of the dataset are related to the economic indicators of companies in the province of Trento and can be viewed at the URL of the Employment Agency.

The data, which come from various sources, were drawn up by the Labour Market and Policy Studies Office for the preparation of the Annual Employment Report in the province of Trento, available as content open to the URL: https://www.agenzialavoro.tn.it/Open-Data/Other-content-available

The dataset, including resources in PDF format, is also available on the Employment Agency’s Open Data Portal at the URL: https://www.agenzialavoro.tn.it/Open-Data/I-dataset-available/Economy-and-finance/Economic structure/Economic indicators/Year-2015

The “time coverage” metadata refers to the time interval taken into account by the Historical Series that are identified in the file name with the suffix _ST.

The data released in CSV format are: Machine Readable, identified in the file name with the suffix _MR and validated with the Good Tables library. https://okfnlabs.org/blog/2015/02/20/introducing-goodtables.html

ATTRIBUTION: data processed by the Office for the Study of Policies and Labour Market based on data from the Chamber of Commerce of Trento.

Dataset provides public data from various sources and codes used for the statistical analyses in the article by Charan van Krevel. None of the data is original by the author. All data is originally from the references.

Employment Rate in the United States remained unchanged at 59.70 percent in June. This dataset provides - United States Employment Rate- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Note: Blueprint has been retired as of June 15, 2021. This dataset will be kept up for historical purposes, but will no longer be updated.

California has a new blueprint for reducing COVID-19 in the state with revised criteria for loosening and tightening restrictions on activities. Every county in California is assigned to a tier based on its test positivity and adjusted case rate for tier assignment. Additionally, a new health equity metric took effect on October 6, 2020. In order to advance to the next less restrictive tier, each county will need to meet an equity metric or demonstrate targeted investments to eliminate disparities in levels of COVID-19 transmission, depending on its size. The California Health Equity Metric is designed to help guide counties in their continuing efforts to reduce COVID-19 cases in all communities and requires more intensive efforts to prevent and mitigate the spread of COVID-19 among Californians who have been disproportionately impacted by this pandemic.

Please see https://www.cdph.ca.gov/Programs/CID/DCDC/Pages/COVID-19/COVID19CountyMonitoringOverview.aspx for more information.

Also, in lieu of a Data Dictionary, please refer to the detailed explanation of the data columns in Appendix 1 of the above webpage.

Because this data is in machine-readable format, the merged headers at the top of the source spreadsheet have not been included:

• The first 8 columns are under the header "County Status as of Tier Assignment"

• The next 3 columns are under the header "Current Data Week Tier and Metric Tiers for Data Week"

• The next 4 columns are under the header "Case Rate Adjustment Factors"

• The next column is under the header "Small County Considerations"

• The last 5 columns are under the header "Health Equity Framework Parameters"

This page is no longer updated. It has been superseded by the Business insights and impacts on the UK economy dataset page (see link in Notices). It contains comprehensive weighted datasets for Wave 7 onwards. All future BICS datasets will be available there. The datasets on this page include mainly unweighted responses from the voluntary fortnightly business survey, which captures businesses’ responses on how their turnover, workforce prices, trade and business resilience have been affected in the two-week reference period, up to Wave 17.

This table contains information on the balance sheet of the general government sector. The information is limited to financial assets and liabilities. For each reporting period the opening and closing stocks, financial transactions and other changes are shown. Transactions are economic flows that are the result of agreements between units. Other changes are changes in the value of assets or liabilities that do not result from transactions such as revaluations or reclassifications. The figures are consolidated which means that flows between units that belong to the same sector are eliminated. As a result, assets and liabilities of subsectors do not add up to total assets or liabilities of general government. For example, loans of the State provided to social security funds are part of loans of the State. However, these are not included in the consolidated assets of general government, because it is an asset of a government unit with a government unit as debtor. Financial assets and liabilities in this table are presented at market value. The terms and definitions used are in accordance with the framework of the Dutch national accounts. National accounts are based on the international definitions of the European System of Accounts (ESA 2010). Small temporary differences with publications of the National Accounts may occur due to the fact that the government finance statistics are sometimes more up to date.

Data available from: Yearly figures from 1995, quarterly figures from 1999.

Status of the figures: The figures for the period 1995-2023 are final. The figures for 2024 and 2025 are provisional.

Changes as of 24 June 2025: The figures for the first quarter of 2025 are available. Figures for 2023 and 2024 have been adjusted due to updated information. The figures for 2023 are final. In the context of the revision policy of National accounts, the dividend tax has been adjusted as of the fourth quarter of 2006. The revised registration aligns more closely with the accrual principle of ESA 2010.

Changes as of 10 April 2025: Due to an error made while processing the data, the initial preliminary figures for the government financial balance sheet in 2024 were calculated incorrectly. This causes a downward revision in other accounts payable.

When will new figures be published? Provisional quarterly figures are published three months after the end of the quarter. In September the figures on the first quarter may be revised, in December the figures on the second quarter may be revised and in March the first three quarters may be revised. Yearly figures are published for the first time three months after the end of the year concerned. Yearly figures are revised two times: 6 and 18 months after the end of the year. Please note that there is a possibility that adjustments might take place at the end of March or September, in order to provide the European Commission with the most actual figures. Revised yearly figures are published in June each year. Quarterly figures are aligned to the three revised years at the end of June. More information on the revision policy of Dutch national accounts and government finance statistics can be found under 'relevant articles' under paragraph 3.

DATASET: What is the best scale for implementing anaerobic digestion according to environmental and economic indicators?

Journal of Water Process Engineering, Volume 35, June 2020, 101235

https://doi.org/10.1016/j.jwpe.2020.101235

Built-Up Areas are man-made land cover features, ranging from small hamlets at rural cross roads to large cities.

This product requires the use of GIS software.

*[GIS]: geographic information system

The Scanian Economic Demographic Database (SEDD) is based on family reconstitutions for nine rural parishes (Ekeby, Frillestad, Halmstad, Hässlunda, Hög, Kågeröd, Kävlinge, Sireköpinge and Stenestad) and one city (Helsingborg) in Scania, the southernmost county of Sweden, in which information in church records on births, deaths and marriages are linked together to form families. The database is the result of project collaborations between the Centre for Economic Demography (CED) and the Regional Archives in Lund. The co-operation has produced both an event database, in which all basic source material is registered, and an applied research database. The event database is accessible through the Regional Archives in Lund.

The description that follows primarily relates to the research database which contains information on five parishes (Halmstad, Hög, Kågeröd, Kävlinge and Sireköpinge). From the late 19th century onwards, one of the rural parishes was transformed from a minor rural village to a small industrial town (Kävlinge), while the others preserved their rural characters.

At its present stage, the research database includes data for 104 000 individuals from 1646 up to 1968, to which data from central registers for the period up to 2011 has been added. Data for the city of Landskrona are presently digitized. The database contains a variety of information on individual as well as household/family level and each individual in the database is under observation from birth/ in-migration and throughout the life span/ until an out-migration occurs. The fact that the database covers almost four centuries and that it combines economic and demographic data in one database has made it unique by Swedish comparisons.

Demographic variables include:

Births
Deaths
Cause of death
Marriages
In-migration
Out-migration
Birth-order

Socioeconomic and health variables include:

Occupation
Land holdings (farm size etc.)
Type of residence (farm, croft, cottage etc.)
Property ownership (freehold, crown, noble)
Income
Height
Health at birth
Health at mustering

Household variables include:

House-hold size
Typology of house-hold members (servants, nuclear family, lodgers etc.)

Purpose:

The purpose of the Scanian Economic Demographic Database (SEDD) is to function as a research infrastructure for economic as well as demographic research.

Techsalerator’s News Event Data in North America offers a comprehensive and detailed dataset designed to provide businesses, analysts, journalists, and researchers with a thorough view of significant news events across North America. This dataset captures and categorizes major events reported from a diverse range of news sources, including press releases, industry news sites, blogs, and PR platforms, providing valuable insights into regional developments, economic shifts, political changes, and cultural events.

Key Features of the Dataset: Extensive Coverage:

The dataset aggregates news events from a wide array of sources, including company press releases, industry-specific news outlets, blogs, PR sites, and traditional media. This broad coverage ensures a diverse range of information from multiple reporting channels. Categorization of Events:

News events are categorized into various types such as business and economic updates, political developments, technological advancements, legal and regulatory changes, and cultural events. This categorization helps users quickly find and analyze information relevant to their interests or sectors. Real-Time Updates:

The dataset is updated regularly to include the most current events, ensuring that users have access to up-to-date news and can stay informed about recent developments as they happen. Geographic Segmentation:

Events are tagged with their respective countries and territories within North America. This geographic segmentation allows users to filter and analyze news events based on specific locations, facilitating targeted research and analysis. Event Details:

Each event entry includes comprehensive details such as the date of occurrence, source of the news, a description of the event, and relevant keywords. This thorough detailing helps users understand the context and significance of each event. Historical Data:

The dataset includes historical news event data, enabling users to track trends and conduct comparative analysis over time. This feature supports longitudinal studies and provides insights into how news events evolve. Advanced Search and Filter Options:

Users can search and filter news events based on criteria such as date range, event type, location, and keywords. This functionality allows for precise and efficient retrieval of relevant information. North American Countries and Territories Covered: Countries: Canada Mexico United States Territories: American Samoa (U.S. territory) French Polynesia (French overseas collectivity; included for regional relevance) Guam (U.S. territory) New Caledonia (French special collectivity; included for regional relevance) Northern Mariana Islands (U.S. territory) Puerto Rico (U.S. territory) Saint Pierre and Miquelon (French overseas territory; geographically close to North America and included for regional comprehensiveness) Wallis and Futuna (French overseas collectivity; included for regional relevance) Benefits of the Dataset: Strategic Insights: Businesses and analysts can use the dataset to gain insights into significant regional developments, economic conditions, and political changes, aiding in strategic decision-making and market analysis. Market and Industry Trends: The dataset provides valuable information on industry-specific trends and events, helping users understand market dynamics and identify emerging opportunities. Media and PR Monitoring: Journalists and PR professionals can track relevant news across North America, enabling them to monitor media coverage, identify emerging stories, and manage public relations efforts effectively. Academic and Research Use: Researchers can utilize the dataset for longitudinal studies, trend analysis, and academic research on various topics related to North American news and events. Techsalerator’s News Event Data in North America is a crucial resource for accessing and analyzing significant news events across the continent. By providing detailed, categorized, and up-to-date information, it supports effective decision-making, research, and media monitoring across diverse sectors.

PREDICT includes statistics on ICT industries and their R&D in Europe since 2006. The project covers major world competitors including 40 advanced and emerging countries - the EU28 plus Norway, Russia and Switzerland in Europe, Canada, the United States and Brazil in the Americas, China, India, Japan, South Korea and Taiwan in Asia, and Australia -. The dataset provides indicators in a wide variety of topics, including value added, employment, labour productivity and business R&D expenditure (BERD), distinguishing fine grain economic activities in ICT industries (up to 22 individual activities, 14 of which at the class level, i.e. at 4 digits in the ISIC/NACE classification), media and content industries (15 activities, 11 of them at 4 digit level) and at a higher level of aggregation for all the other industries in the economy. It also produces data on Government financing of R&D in ICTs, and total R&D expenditure. Nowcasting of more relevant data in these domains is also performed until a year before the reference date, while time series go back to 1995.

ICTs determine competitive power in the knowledge economy. The ICT sector alone originates almost one fourth of total Business expenditure in R&D (BERD) for the aggregate of the 40 economies under scrutiny in the project. It also has a huge enabling role for innovation in other technological domains. This is reflected at the EU policy level, where the Digital Agenda for Europe in 2010 was identified as one of the seven pillars of the Europe 2020 Strategy for growth in the Union; and the achievement of a Digital Single Market (DSM) is one of the 10 political priorities set by the Commission since 2015.

Kaggle Dataset Description

Overview

This dataset is an Updated and Curated Version of the renowned World Development Indicators dataset by the World Bank. Unlike other Kaggle datasets, this one is up-to-date and comprehensive.

About the Original Dataset

The original World Development Indicators dataset is a public resource under the Creative Commons Attribution 4.0 license. It covers a wide array of topics such as Agriculture, Climate Change, Economic Growth, Education, and more. Source

Included Files

• WDIdatabase.sqlite: A SQLite database for easier data manipulation.
• footnotes.csv: Footnotes for data series.
• series.csv: Metadata for each data series.
• indicators.csv: Main File. All Development indicators.
• series_notes.csv: Additional notes for series.
• country.csv: Country information.
• country_notes.csv: Country-specific notes.

Use Cases

• Global or country-specific economic and social development analysis.
• Academic research in economics, public health, and social sciences.
• Data visualization to understand global trends.

Highlights

• Up-to-date: Contains the latest available data.
• Curated: Edited for ease of use, including column name adjustments and data type conversions.

Photo by Porapak Apichodilok: Link to Photo

This dataset contains the code, input sheets, set-up guide and documentation for the EVOLVE research project (https://evolveenergy.eu/) economic dispatch model of Great Britain. Within this research project, a novel modelling framework has been developed to quantify the potential benefit of including higher proportions of ocean energy within large-scale electricity systems. Economic dispatch modelling is utilised to model hourly supply-demand matching for a range of sensitivity runs, adjusting the proportion of ocean energy within the generation mix. The framework is applied to a 2030 case study of the power system of Great Britain, testing installed wave or tidal stream capacities ranging from 100 MW to 10 GW. This dataset contains all of the data, code and documentation required to run this economic dispatch model. The project results found that for all sensitivity runs, ocean energy increases renewable dispatch, reduces dispatch costs, reduces generation required from fossil fuels, reduces system carbon emissions, reduces price volatility, and captures higher market prices. The development of this model, and analysis of the model results, is described in detail in a journal paper (currently in press). A preprint of this paper is included within the folder. It can be referenced as: S. Pennock, D.R. Noble, Y. Verdanyan, T. Delahaye and H. Jeffrey (2023). 'A modelling framework to quantify the power system benefits from ocean energy deployments'. Applied Energy, Volume 347, 1 October 2023, 121413 ( https://doi.org/10.1016/j.apenergy.2023.121413 ).

Consumer Confidence in the United States increased to 60.70 points in June from 52.20 points in May of 2025. This dataset provides the latest reported value for - United States Consumer Sentiment - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Government spending in the United States was last recorded at 39.7 percent of GDP in 2024 . This dataset provides - United States Government Spending To Gdp- actual values, historical data, forecast, chart, statistics, economic calendar and news.