The compilation of registered Database of Pension Plans and Products herein is intended to provide easily accessible information in accordance to Article 8 of EIOPA Regulation.

The Database is a unique resource providing a comprehensive snapshot of the European pensions’ landscape and helps to better understand pension systems in Europe.

Plans and products included in the Database are those non-public arrangements and investment vehicles which have an explicit objective of retirement provision (according to a national social and labour law or tax rules) irrespective whether they are of occupational or personal type.

Both 1st pillar-bis pensions available in the Central and Eastern Europe (CEE) and plans/products which are defined in the legislation but not yet offered to the public (or have no members) are also included.

The pension plans managed by the State or public entities (1st pillar pensions) and “pure” annuities (i.e. products not linked to an accumulation phase) are excluded from the Database.

The Database is aimed to be updated, checked for completeness, consistency and methodological aspects on an annual basis.

These tables and maps provide state-level detail on the funding status of state and local government employee defined benefit (DB) retirement plans, complementing the aggregate data reported in Table L.120.b of the Financial Accounts of the United States. The table shows state-level detail on pension assets, liabilities and several measures of funding status.

Graph and download economic data for Pension Funds; Total Liabilities, Transactions (BOGZ1FA594190005Q) from Q4 1946 to Q1 2025 about pension, transactions, liabilities, and USA.

Mortality experience data from 2009 through 2013 on public pension plans in the United States

Connecticut State Archives Archival Record Group (RG) #069:050, Noble (William H. and Henrietta) Pension Applications General William H. Noble and his daughter Henrietta M. Noble, Pension Agents in Bridgeport, assisted veterans and their descendants to secure pensions from the United States Government. The collection includes correspondence and official papers that document their work with veterans of the Civil War and Spanish American War. The files are arranged alphabetically by veteran’s name. The database contains the following information: veteran’s name, rank, pension file application number, date enlisted, date discharged, and military unit. People may request a copy of a file by contacting the staff of the History & Genealogy Unit by telephone (860) 757-6580 or email. When requesting a copy of a record, please include at least the name of the individual, date, and residence. Abbreviations of Connecticut Military Branch of Service: · CLB – Connecticut Light Battery · CVA – Connecticut Volunteer Artillery · CVC – Connecticut Volunteer Cavalry · CVHA – Connecticut Volunteer Heavy Artillery · CVI – Connecticut Volunteer Infantry · CVLB – Connecticut Volunteer Light Battery

Graph and download economic data for State and Local Government Employee Retirement Funds; Pension Entitlements (Total Liabilities), Level (BOGZ1FL224190005A) from 1945 to 2024 about retirement, pension, state & local, liabilities, government, employment, and USA.

Japan Assets: Flow: Public Pensions(PP): Total data was reported at 1,733.300 JPY bn in Mar 2018. This records an increase from the previous number of -746.400 JPY bn for Dec 2017. Japan Assets: Flow: Public Pensions(PP): Total data is updated quarterly, averaging -63.100 JPY bn from Mar 1998 (Median) to Mar 2018, with 81 observations. The data reached an all-time high of 6,875.200 JPY bn in Mar 1998 and a record low of -7,351.400 JPY bn in Jun 2007. Japan Assets: Flow: Public Pensions(PP): Total data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.AB085: SNA08: General Government: Social Security Funds: Public Pension: Flow.

At the end of each fiscal year, the Receiver general of Canada publishes financial information in the Public Accounts. This dataset, based on its Volume 1, Section 6—Pensions and Other Future Benefits, provides a financial information comparative (in dollars) related to public sector pensions. It includes data taken for the following accounts: Public Service Superannuation Account; Public Service Pension Fund Account; Canadian Forces Superannuation Account; Canadian forces Pension Fund Account; Reserve Force Pension Fund Account; Royal Canadian Mounted Police Superannuation Account; Royal Canadian Mounted Police Pension Fund Account; Members of Parliament Retiring Allowances Account; and Members of Parliament Retirement Compensation Arrangements Account. This dataset is a non-official record of information taken from the Public Accounts of Canada. The official version can be found on the Receiver General website for the most recent fiscal year and the Library and Archives website for historical years.

This report provides state-level estimates of the number of Veterans who were receiving VA Pension benefits as of the end of fiscal year 2023. It includes the Veterans’ sex. Blank values represent small cell counts that have been suppressed to protect the identity of Veterans as well as some cell counts that have been suppressed in order to prevent the determination of the values of the aforementioned small cell counts. Some categories may not sum to the total due to missing information (e.g., sex, etc.).

The availability of sex data is limited as some records have no sex available. In the table, there are 123 Veterans whose sex is not available.

There are a small number of pension recipients for whom neither state nor country could be determined from the data sources used. These pension recipients are not included in the table.

The number of Veterans who were pension recipients during FY 2023 but were no longer pension recipients at the end of FY 2023 is 32,176. These Veterans are not included in the table.

Source: Department of Veterans Affairs, Office of Enterprise Integration, Veteran Object FY23 data and Veterans Benefits Administration VETSNET FY 2023 pension data.

Prepared by National Center for Veterans Analysis & Statistics, www.va.gov/vetdata.

Graph and download economic data for Pension Funds; Treasury Securities; Asset, Level (BOGZ1FL593061105Q) from Q4 1945 to Q1 2025 about pension, securities, Treasury, assets, and USA.

Here is the R code based on data from the OECD database to reproduce the results of the paper.

The data can be downloaded from the website of OECD: https://www.oecd.org/en/data/indicators.html.

Japan Liabilities: Stock: Public Pensions(PP): Total data was reported at 230,973.100 JPY bn in Mar 2018. This records an increase from the previous number of 229,551.100 JPY bn for Dec 2017. Japan Liabilities: Stock: Public Pensions(PP): Total data is updated quarterly, averaging 208,621.750 JPY bn from Dec 1997 (Median) to Mar 2018, with 82 observations. The data reached an all-time high of 230,973.100 JPY bn in Mar 2018 and a record low of 171,603.600 JPY bn in Jun 2012. Japan Liabilities: Stock: Public Pensions(PP): Total data remains active status in CEIC and is reported by Bank of Japan. The data is categorized under Global Database’s Japan – Table JP.AB086: SNA08: General Government: Social Security Funds: Public Pension: Stock.

Policies may change the incentives that allow cultural practices to persist. To test this, I study matrilocality and patrilocality, kinship traditions that determine daughters’ and sons’ post-marriage residences and thus, which gender lives with and supports parents in their old age. Two separate policy experiments in Ghana and Indonesia show that pension policies reduce the practice of these traditions. I also show that these traditions incentivize parents to invest in the education of children who traditionally co-reside with them. Consequently, when pension plans change cultural practices, they also reduce educational investment. This finding further demonstrates that policy can change culture.Keywords: cultural transmission, cultural change, kinship traditions, intergenerational transfers.

Graph and download economic data for Private Defined Benefit Pension Funds; Total Funded Assets, Level (BOGZ1FL572000075Q) from Q4 1945 to Q1 2025 about pension, benefits, assets, private, and USA.

Pensions should not be seen as an expense, but as a social investment, which benefits those who have made the most work effort during their productive life. The entire constitutional basis of social security is found in article 123 of Magna Carta, which is why it is said that the main legal framework of social security in our country could be fragile and vague. The fundamental difference between pension and retirement is that the former will not receive the benefit of the employer directly, but through a common fund or mass that he accumulated during his working life, while the second implies that the person who delivers the benefit will be the employer to whom he served during his productive life. As theoretical concepts there are two major pension systems or schemes: defined profit and defined contribution. The defined benefit system states that workers' resources will accumulate in a common fund. In the defined contribution system or individual capitalization each affiliate has an account, where their quotes are deposited that are capitalized.

New scholarship in American politics argues that interest groups should be brought back to the center of the field. We attempt to further that agenda by exploring an aspect of group influence that has been little studied: the role interest groups play on the inside of government as official participants in bureaucratic decision-making. The challenges for research are formidable, but a fuller understanding of group influence in American politics requires that they be taken on. Here we carry out an exploratory analysis that focuses on the bureaucratic boards that govern public pensions. These are governance structures of enormous financial consequence for state governments, public workers, and taxpayers. They also make decisions that are quantitative (and comparable) in nature, and they usually grant official policymaking authority to a key interest group: public employees and their unions. Our analysis suggests that “interest groups on the inside” do have influence—in ways that weaken effective government. Going forward, scholars should devote greater attention to how insider roles vary across agencies and groups, how groups exercise influence in these ways, how different governance structures shape their policy effects, and what it all means for our understanding of interest groups in American politics.

Graph and download economic data for Pension Fund Assets to GDP for Brazil (DDDI13BRA156NWDB) from 2000 to 2020 about pension, Brazil, assets, and GDP.

This is a link to the Pension Explorer to query State pension data for retired employees.

This is the replication package for "Barriers to Saving for Retirement: Evidence from a Public Pension Program in Mongolia," accepted in 2024 by the Journal of Political Economy Microeconomics. This document describes the datasets and Stata codes used to replicate the results in the article.

Key Table Information.Table Title.State and Locally-Administered Defined Benefit Pension Systems: U.S. and States: 2017 - 2024.Table ID.GOVSTIMESERIES.GS00PP02.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.2025-05-29.Release Schedule.The Annual Survey of Public Pensions occurs every year. Data are typically released yearly in the second quarter. There is approximately one year between the reference period and data release. Revisions to published data occur annually going back to the previous Census of Goverments. 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.Detail of revenues, expenditures, financial assets, and membership information.Definitions 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 systems that provide elementary and/or secondary education. The term "public school systems" includes two types of government entities w...