The OECD Family database is an on-line database on family outcomes and family policies with indicators for all OECD countries. Coverage also includes EU Member States that are not OECD members. To date the database brings together 58 indicators on family structure, labor market participation, public policies and child outcomes. When possible, indicators are updated on a regular basis.

The OECD Productivity Database aims at providing users with the most comprehensive and the latest productivity estimates. The update cycle is on a rolling basis: each variable in the dataset is made publicly available as soon as it is updated in the sources databases. The productivity database contains data on labour productivity both measured using employment or hours worked and the compenents of capital and labour inputs. The productivity database in levels, in growth rates and by industry contains annual data, while the database on productivity and unit labour costs are quarterly estimates. Further information for all datasets and the methodology may be found in the attached file OECD-Productivity-Statistics-Database-metadata

The Social Benefit and Recipients Database by the Organisation for Economic Co-operation and Development (OECD) is the first database that presents comparable information on the number of cash benefit receivers in most OECD and EU countries. The database includes data from the main income replacement schemes in four branches: unemployment, social assistance, disability and old age. Data is available for the years 2007-2018

The OECD Income Distribution database (IDD) has been developed to benchmark and monitor countries' performance in the field of income inequality and poverty. It contains a number of standardised indicators based on the central concept of "equivalised household disposable income", i.e. the total income received by the households less the current taxes and transfers they pay, adjusted for household size with an equivalence scale. While household income is only one of the factors shaping people's economic well-being, it is also the one for which comparable data for all OECD countries are most common. Income distribution has a long-standing tradition among household-level statistics, with regular data collections going back to the 1980s (and sometimes earlier) in many OECD countries.

Achieving comparability in this field is a challenge, as national practices differ widely in terms of concepts, measures, and statistical sources. In order to maximise international comparability as well as inter-temporal consistency of data, the IDD data collection and compilation process is based on a common set of statistical conventions (e.g. on income concepts and components). The information obtained by the OECD through a network of national data providers, via a standardized questionnaire, is based on national sources that are deemed to be most representative for each country.

Small changes in estimates between years should be treated with caution as they may not be statistically significant.

Fore more details, please refer to: https://www.oecd.org/els/soc/IDD-Metadata.pdf and https://www.oecd.org/social/income-distribution-database.htm

The OECD Employment database is part of the Organisation for Economic Co-operation and Development (OECD) and offers statistics that are comparable between countries and over time on various employment-related topics, such as unemployment, the labour force and working time. Data is available for all 35 OECD countries. Here we focus on the statistical data.

The Organisation for Economic Co-operation and Development (OECD) Social and Welfare Statistics (previously Social Expenditure Database) available via the UK Data Service includes the following databases:

The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. The main social policy areas are as follows: old age, survivors, incapacity-related benefits, health, family, active labour market programmes, unemployment, housing, and other social policy areas.

The Income Distribution database contains comparable data on the distribution of household income, providing both a point of reference for judging the performance of any country and an opportunity to assess the role of common drivers as well as drivers that are country-specific. They also allow governments to draw on the experience of different countries in order to learn "what works best" in narrowing income disparities and poverty. But achieving comparability in this field is also difficult, as national practices differ widely in terms of concepts, measures, and statistical sources.

The Child Wellbeing dataset compare 21 policy-focussed measures of child well-being in six areas, chosen to cover the major aspects of children’s lives: material well being; housing and environment; education; health and safety; risk behaviours; and quality of school life.

The Better Life Index: There is more to life than the cold numbers of GDP and economic statistics. This Index allows you to compare well-being across countries, based on 11 topics the OECD has identified as essential, in the areas of material living conditions and quality of life.

The Social Expenditure data were first provided by the UK Data Service in March 2004.

Access OECD countries and selected non-member economies data through the OECD API.

Graph and download economic data for Gross National Income for OECD Members (NYGNPMKTPCDOED) from 1960 to 2024 about OECD Economies, GNI, and income.

The Better Life Index is an initiative created by the OECD to compare the well-being priorities of people around the world. It consists of 11 social indicators: “housing, income, jobs, community, education, environment, governance, health, life satisfaction, safety, work-life balance” that contribute to well-being in OECD countries. This initiative aims to involve citizens in the debate on measuring the well-being of societies, and to empower them to become more informed and engaged in the policy-making process that shapes all our lives.

The 11 indicators in turn are composed of 20 sub-indicators through averaging and normalization. The visualization tool is available here. By selecting a set of weights to the sub-indicators, a user can rank countries according to their weighted sum.

The OECD Social Expenditure Database (SOCX) has been developed in order to serve a growing need for indicators of social policy. It includes reliable and internationally comparable statistics on public and mandatory and voluntary private social expenditure at programme level. SOCX provides a unique tool for monitoring trends in aggregate social expenditure and analysing changes in its composition. It covers 38 OECD countries and some accession countries for the period 1980-2021/23 and estimates for aggregates for 2022-24. A Social Expenditure Update can be found under www.oecd.org/en/data/datasets/social-expenditure-database-socx.htm. The main social policy areas are as follows: Old age, Survivors, Incapacity-related benefits, Health, Family, Active labor market programmes, Unemployment, Housing, and Other social policy areas. This version also includes estimates of net total social spending for 2021 for 38 OECD countries. SOCX aggregated data as well as sources and methodology are described in The OECD SOCX Manual – 2019 edition- A guide to the OECD Social Expenditure Database.

United States Imports: Customs: OECD data was reported at 116.823 USD bn in Sep 2018. This records a decrease from the previous number of 127.074 USD bn for Aug 2018. United States Imports: Customs: OECD data is updated monthly, averaging 22.344 USD bn from Jan 1988 (Median) to Sep 2018, with 369 observations. The data reached an all-time high of 127.074 USD bn in Aug 2018 and a record low of 6.651 USD bn in Jan 1990. United States Imports: Customs: OECD data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA009: Trade Statistics: Census Basis: By Region. Significant change between Dec-2003 and Jan-2004 was due to the increased number of OECD countries. OECD includes 24 countries until Dec-2003 and increased to 29 countries beginning Jan-2004 to present.

The OECD Child Well-Being Data Portal (CWBDP) gathers data on child well-being and the settings in which children grow up. It provides information on children’s home and family environment, their health and safety, their education and school life, their activities and their life satisfaction, and also links to information on public policies for children. Information covers children from 0 to 17 years of age, although some information is available only for specific ages. Where possible, information is provided for different age groups, from early childhood to adolescence. The data portal also provides a unique source of information on disparities in child well-being by gender, family status, household income level, and parental background.

Graph and download economic data for Population Growth for OECD Members (SPPOPGROWOED) from 1961 to 2024 about OECD Economies, population, and rate.

The data have been collected via the official OECD Application Programming Interface (API) and includes the following indicators:

• EmpPlaRes - Employment at place of residence
• LfPartRa - Labour Force and Participation rate
• UnemReg - Unemployment in regions
• RegGdpTL2 - Regional Gross Domestic Product (Large regions TL2)
• GDPLT3 - Gross Domestic Product (Small regions TL3)
• RegEmIndu - Regional Employment by industry (ISIC rev 4)
• RegGVAWorker - Regional GVA per worker
• RegIncPC - Regional income per capita

Source: https://data.oecd.org/api/

[OECD] Organisation for Economic Co-operation and Development. (2023). PSE Database for Canada. https://www.oecd.org/agriculture/topics/agricultural-policy-monitoring-and-evaluation/pse-can-2023.xls[OECD] Organisation for Economic Co-operation and Development. (2023b). Canada: Estimates of Support to Agriculture, Definitions and Sources. https://www.oecd.org/agriculture/topics/agricultural-policy-monitoring-and-evaluation/cookbook-can-2023.pdf This is a version of the OECD's PSE Database for Canada that was downloaded from https://www.oecd.org/agriculture/topics/agricultural-policy-monitoring-and-evaluation/pse-can-2023.xls, together with the accompanying Definitions and Sources document that was downloaded from https://www.oecd.org/agriculture/topics/agricultural-policy-monitoring-and-evaluation/cookbook-can-2023.pdf. Unfortunately with a reorganization of the OECD's website these links are currently no longer working and there are not yet any comparable links to the PSE Database or Definitions and Sources document. So we are including the versions we previously downloaded from the OECD here. This "PSE Database" published by the OECD includes the OECD's “Total Support Estimate” [TSE] of the transfers induced by Canadian agricultural policy, which is composed of three underlying components: (1) a “Producer Support Estimate” (or "PSE" proper) of transfers from Canadian taxpayers and consumers to individual agricultural producers, (2) a “General Services Support Estimate” [GSSE] of transfers from Canadian taxpayers to general services for the agricultural sector, and (3) an estimate of Canadian “Transfers to Consumers from Taxpayers” [TCT].

The QoG Institute is an independent research institute within the Department of Political Science at the University of Gothenburg. The main objective of our research is to address the theoretical and empirical problem of how political institutions of high quality can be created and maintained.

To achieve said goal, the QoG Institute makes comparative data on QoG and its correlates publicly available. To accomplish this, we have compiled several datasets that draw on a number of freely available data sources, including aggregated individual-level data.

The QoG OECD Datasets focus exclusively on OECD member countries. They have a high data coverage in terms of geography and time. In the QoG OECD TS dataset, data from 1946 to 2021 is included and the unit of analysis is country-year (e.g., Sweden-1946, Sweden-1947, etc.).

In the QoG OECD Cross-Section dataset, data from and around 2018 is included. Data from 2018 is prioritized, however, if no data are available for a country for 2018, data for 2019 is included. If no data for 2019 exists, data for 2017 is included, and so on up to a maximum of +/- 3 years. In the QoG OECD Time-Series dataset, data from 1946 to 2021 are included and the unit of analysis is country-year (e.g. Sweden-1946, Sweden-1947 and so on).

The QoG OECD Datasets focus exclusively on OECD member countries. They have a high data coverage in terms of geography and time. In the QoG OECD Time-Series dataset, data from 1946 to 2021 are included and the unit of analysis is country-year (e.g. Sweden-1946, Sweden-1947 and so on).

OECD statistics contact: stat.contact@oecd.org

The OECD Secretariat collects a wide range of statistics on businesses and business activity. The Structural Business Statistics by size class dataset is part of the Structural and Demographic Business Statistics (SDBS) database featuring the harmonised data collection of the OECD Statistics and Data Directorate relating to a number of key variables, such as value added, operating surplus, employment, and the number of business units.

Data are broken down to class (4-digit) level of International Standard of Industrial Classification (ISIC Revision 4), and by enterprise size class based on the number of persons employed.

Data cover OECD member and partner countries, non-OECD countries that are members of the European Statistical System who provide data to Eurostat, as well as countries participating in OECD Regional initiatives.

Historical dataset from OECD on R&D and Innovation indicators.Source : Data extracted from OECD Database.Use : Was used to study, and analyse innovation management indicators for industries across Countries with such available data. These set of data of R&D indicators or measures(expenditure, personnel) was to investigate innovation management using Data Analysis and applying Machine Learning Algorithm for data prediction.To Use : For each Excel file, see description and meanings of parameters in "Notes" tab.Furthermore, for the specific R&D Expenditures and Personnel links :R&D Expenditure: Business enterprise R&D expenditure by industryR&D Personnel: R&D personnel by sector of employment and function

This dataset FDI main aggregates, BMD4 is updated every quarter and includes quarterly and annual aggregate inward and outward Foreign Direct Investment (FDI) flows, positions and income for OECD reporting economies and for non-OECD G20 countries (Argentina, Brazil, China, India, Indonesia, Saudi Arabia and South Africa).

It is a simplified dataset with fewer breakdowns compared to the other separate datasets specifically dedicated to FDI flows, FDI positions or FDI income aggregates. In this dataset, FDI statistics are presented on directional basis only (unless otherwise specified, see metadata attached at the reporting country level) and resident Special Purpose Entities (SPEs), when they exist, are excluded (unless otherwise stated, see metadata attached at the reporting country level).

FDI aggregates are measured in USD millions, in millions of national currency and as a share of GDP.

This dataset supports FDI aggregates indicators available from the FDI in Figures.

In 2014, many countries implemented the latest international standards for Foreign Direct Investment (FDI) statistics:

• the OECD’s Benchmark Definition of FDI, 4th edition (BMD4); and
• the IMF’s Balance of Payments and International Investment Position Manual, 6th edition (BPM6)

This OECD database was launched in March 2015 which includes the data series reported by national experts according to BMD4. The data are for the most part based on balance of payments statistics published by Central Banks and Statistical Offices following the recommendations of the IMF’s BPM6 and the OECD’s BMD4. However, some of the data relate to other sources such as notifications or approvals.

Historical and unrevised series of FDI aggregates under the previous BMD3 methodology can be accessed in the archived dataset FDI series of BOP and IIP aggregates

The Trade in Value Added (TiVA) database is a collection of measures that can provide insights into global production networks and supply chains beyond what is possible with conventional trade statistics. TiVA estimates, presented here, consist in a selection of principal indicators that track the origins of value added in exports, imports and final demand for the years 1995-2020.This edition covers 76 economies (including all OECD, EU, G20 and ASEAN countries) as well as region aggregates. Indicators are available for 45 industries within a hierarchy based on ISIC Rev. 4.

For further details, please refer to https://www.oecd.org/en/topics/sub-issues/trade-in-value-added.html