Total outstanding debt of the U.S. government reported daily. Includes a breakout of intragovernmental holdings (federal debt held by U.S. government) and debt held by the public (federal debt held by entities outside the U.S. government).

United States Federal Debt: PDS Held By Private Investors: Within 1 Year data was reported at 3,794.461 USD bn in Sep 2018. This records a decrease from the previous number of 3,888.670 USD bn for Aug 2018. United States Federal Debt: PDS Held By Private Investors: Within 1 Year data is updated monthly, averaging 1,178.263 USD bn from Dec 1994 (Median) to Sep 2018, with 286 observations. The data reached an all-time high of 3,888.670 USD bn in Aug 2018 and a record low of 781.923 USD bn in Jun 2001. United States Federal Debt: PDS Held By Private Investors: Within 1 Year data remains active status in CEIC and is reported by Bureau of the Fiscal Service. The data is categorized under Global Database’s United States – Table US.F004: Federal Debt.

United States Federal Debt: PDS Held By Private Investors: 1 to 5 Years data was reported at 5,181.488 USD bn in Sep 2018. This records a decrease from the previous number of 5,205.685 USD bn for Aug 2018. United States Federal Debt: PDS Held By Private Investors: 1 to 5 Years data is updated monthly, averaging 1,303.039 USD bn from Dec 1994 (Median) to Sep 2018, with 286 observations. The data reached an all-time high of 5,205.685 USD bn in Aug 2018 and a record low of 650.522 USD bn in Sep 2001. United States Federal Debt: PDS Held By Private Investors: 1 to 5 Years data remains active status in CEIC and is reported by Bureau of the Fiscal Service. The data is categorized under Global Database’s United States – Table US.F004: Federal Debt.

The United States recorded a Government Debt to GDP of 122.30 percent of the country's Gross Domestic Product in 2023. This dataset provides - United States Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Net Purchases of US Treasury Bonds and Notes decreased by 13300 million dollars in January of 2025. This dataset provides the latest reported value for - United States Net Purchases of US Treasury Bonds and Notes - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

External Debt in Mexico decreased to 591055.90 USD Million in the fourth quarter of 2024 from 600455.70 USD Million in the third quarter of 2024. This dataset provides - Mexico External Debt - actual values, historical data, forecast, chart, statistics, economic calendar and news.

India recorded a Government Debt to GDP of 81.59 percent of the country's Gross Domestic Product in 2023. This dataset provides - India Government Debt To GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This data collection is one in a series of financial surveys of consumers conducted annually since 1946. In a nationally representative sample, the head of each family unit was interviewed. Starting in 1966, in order to examine the effect that increased car ownership was having on American families, the data collected in this series were organized so that they could be analyzed by both family unit and car unit. The 1969 data are based on car unit. Survey questions regarding automobiles included number of drivers and car owners in the family, make and model of each car, purchase method, car financing and installment debt, and expectations of car purchases in the coming year. Other questions in the 1969 survey covered the respondent's attitudes toward national economic conditions (e.g., the effect of income tax, Vietnam War involvement, and relations with other communist countries on United States business) and price activity, as well as the respondent's own financial situation. Other questions examined the family unit head's occupation, and the nature and amount of the family's income, debts, liquid assets, changes in liquid assets, savings, investment preferences, and actual and expected purchases of major durables. In addition, the survey explored in detail the subject of housing, e.g., previous and present home ownership, value of respondent's dwelling, and mortgage information. Personal data include age and education of head, household composition, and occupation. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR07449.v3. We highly recommend using the ICPSR version as have made this dataset available in multiple data formats.

This data collection is one in a series of financial surveys of consumers conducted annually since 1946. In a nationally representative sample, the head of each spending unit (usually the husband, the main earner, or the owner of the home) was interviewed. The basic unit of reference in the study was the spending unit, but some family data are also available. The questions in the 1956 survey covered the respondent's attitudes toward national economic conditions and price activity, as well as the respondent's own financial situation. Other questions examined the spending unit head's occupation, and the nature and amount of the spending unit's income, debts, liquid assets, changes in liquid assets, savings, investment preferences, and actual and expected purchases of cars and other major durables. The survey also elicited respondent's attitudes about different methods of using income remaining after expenses were met, e.g., investing in stocks or putting money in savings. In addition, the survey explored in detail the subject of housing, e.g., previous and present home ownership, value of respondent's dwelling, and mortgage information. Other questions inquired into the part-time and full-time employment status of the spouse and other earners who were not the head. Questions about consumer debt covered its purpose and source. Personal data include number of people in the spending unit, age, sex, and education of the head, and the race and sex of the respondent. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR03614.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

This table represents the amount Treasury has in short-term cash investments. Deposits and withdrawals of short-term cash investments are also represented in the Deposits and Withdrawals of Operating Cash table. This program was suspended indefinitely in 2008. All figures are rounded to the nearest million. As of February 14, 2023, Table V Short Term Cash Investments will no longer be updated and removed from the published report. The historical data will remain available.

This data collection is one in a series of financial surveys of consumers conducted annually since 1946. In a nationally representative sample, the head of each spending unit (usually the husband, the main earner, or the owner of the home) was interviewed. The basic unit of reference in the study was the spending unit, but some family data are also available. The questions in the 1954 survey covered the respondent's attitudes toward national economic conditions and price activity, as well as the respondent's own financial situation. Other questions examined the spending unit head's occupation, and the nature and amount of the spending unit's income, debts, liquid assets, changes in liquid assets, savings, investment preferences, and actual and expected purchases of cars and other major durables. In addition, the survey explored in detail the subject of housing, e.g., previous and present home ownership, value of respondent's dwelling, and mortgage information. This was the first year that questions were asked regarding plans to make additions and repairs to homes. The 1954 survey emphasized the respondent's contractual payments, e.g., mortgages, rent, property taxes, and installment debt. Respondents were asked about the desirability of using an installment plan and the wisest place to put savings. A separate subsection of the survey contained questions for farmers. (The separate farmer's questionnaire, used in the 1947-1953 surveys, was dropped.) Personal data include number of people in the spending unit, age, sex, and education of the head, and the race and sex of the respondent. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR03608.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

This dataset presents government expenditures by economic classification of expenses rather than by functional classification as it was the case in previous versions. The dataset includes sixteen economic categories and sub-categories of government expenses. The Government Finance Statistics Manual 2014 (IMF, 2014) provides details of the economic classification of expenditures (See particularly Chapter 6). According to IMF 2014 (page 114), “the economic classification of expense identifies the types of expense incurred according to the economic process involved”. Below is a list of the economic categories and sub-categories of government expenses included in the dataset along with some definitions taken from the IMF Government Finance Statistics Manual. In brackets are the corresponding variables names used in the dataset. Total expense (expense) which is the sum of all economic categories listed below Compensation of employees (comp_emp): Compensation of employees is the total remuneration, in cash or in kind, payable to an individual in an employer-employee relationship in return for work performed by the latter during the reporting period… Compensation of employees comprises wages and salaries and employers’ social contributions payable by employers on behalf of employees to social insurance schemes (IMF 2014, pages 115 and 116). Consumption of fixed capital (cons_cap): Consumption of fixed capital is the decline, during the course of the reporting period, in the current value of the stock of fixed assets owned and used by a government unit as a result of physical deterioration, normal obsolescence, or normal accidental damage (IMF 2014, pages 124-125). Grants expense (gt_exp): Grants expenses are transfers payable by government units to other resident or nonresident government units or international organizations and that do not meet the definition of a tax, subsidy, or social contribution (IMF, page 134). Grants expense to foreign government (gt_exp_for) Grants expense to other general government (gt_exp_gov) Grants expense to international organization (gt_exp_int) Interest expense (int_exp): Interest expense is a form of investment income that is receivable by the owners of certain kinds of financial assets (SDRs, deposits, debt securities, loans, and other accounts receivable) for putting these financial and other resources at the disposal of another institutional unit (IMF, page 127). Interest expense to other general government (int_exp_gov) Interest expense to non-residents (int_exp_nr) Interest expense to residents other than general government (int_exp_res) Other expense (ot_exp): Other expense comprises property expense other than interest, transfers not elsewhere classified, and amounts payable in respect of premiums, fees, and claims payable related to nonlife insurance and standardized guarantees (IMF, page 137). Social benefits expense (soc_exp): Social benefits expense are current transfers receivable by households intended to provide for the needs that arise from social risks—for example, sickness, unemployment, retirement, housing, education, or family circumstances (IMF, page 13). Subsidies expense (sub_exp): Subsidies expense are current unrequited transfers that government units make to enterprises on the basis of the level of their production activities or the quantities or values of the goods or services they produce, sell, export, or import (IMF, page 131). Subsidies expense to other sectors (sub_oth) Use of goods and services (use_gs): Use of goods and services consists of the value of goods and services used for the production of market and nonmarket goods and services (IMF 2014, page 120).

Consumer Credit in the United States decreased to 18.08 USD Billion in January from 37.05 USD Billion in December of 2024. This dataset provides the latest reported value for - United States Consumer Credit Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Wealth and Assets Survey (WAS) is a longitudinal survey, which aims to address gaps identified in data about the economic well-being of households by gathering information on level of assets, savings and debt; saving for retirement; how wealth is distributed among households or individuals; and factors that affect financial planning. Private households in Great Britain were sampled for the survey (meaning that people in residential institutions, such as retirement homes, nursing homes, prisons, barracks or university halls of residence, and also homeless people were not included).

The WAS commenced in July 2006, with a first wave of interviews carried out over two years, to June 2008. Interviews were achieved with 30,595 households at Wave 1. Those households were approached again for a Wave 2 interview between July 2008 and June 2010, and 20,170 households took part. Wave 3 covered July 2010 - June 2012, Wave 4 covered July 2012 - June 2014 and Wave 5 covered July 2014 - June 2016. Revisions to previous waves' data mean that small differences may occur between originally published estimates and estimates from the datasets held by the UK Data Service. These revisions are due to improvements in the imputation methodology.

Note from the WAS team - November 2023:
"The Office for National Statistics has identified a very small number of outlier cases present in the seventh round of the Wealth and Assets Survey covering the period April 2018 to March 2020. Our current approach is to treat cases where we have reasonable evidence to suggest the values provided for specific variables are outliers. This approach did not occur for two individuals for several variables involved in the estimation of their pension wealth. While we estimate any impacts are very small overall and median pension wealth and median total wealth estimates are unaffected, this will affect the accuracy of the breakdowns of the pension wealth within the wealthiest decile, and data derived from them. We are urging caution in the interpretation of more detailed estimates."

Survey Periodicity - "Waves" to "Rounds"
Due to the survey periodicity moving from "Waves" (July, ending in June two years later) to “Rounds” (April, ending in March two years later), interviews using the ‘Wave 6’ questionnaire started in July 2016 and were conducted for 21 months, finishing in March 2018. Data for round 6 covers the period April 2016 to March 2018. This comprises of the last three months of Wave 5 (April to June 2016) and 21 months of Wave 6 (July 2016 to March 2018). Round 5 and Round 6 datasets are based on a mixture of original wave-based datasets. Each wave of the survey has a unique questionnaire and therefore each of these round-based datasets are based on two questionnaires. While there may be some changes in the questionnaires, the derived variables for the key wealth estimates have not changed over this period. The aim is to collect the same data, though in some cases the exact questions asked may differ slightly. Detailed information on Moving the Wealth and Assets Survey onto a financial years’ basis was published on the ONS website in July 2019.

Further information and documentation may be found on the ONS Wealth and Assets Survey webpage. Users are advised to the check the page for updates before commencing analysis.

Users should note that issues with linking have been reported and the WAS team are currently investigating.

Secure Access WAS data
The Secure Access version of the WAS includes additional, detailed geographical variables not included in the End User Licence (EUL) version (SN 7215). These include:

• Wards
• Parliamentary Constituency Areas for Wave 1 only
• Census Output Areas
• Lower Layer Super Output Areas
• Local Authorities
  
• Local Education Authorities

Prospective users of the Secure Access version of the WAS will need to fulfil additional requirements, including completion of face-to-face training, and agreement to the Secure Access User Agreement and Licence Compliance Policy, in order to obtain permission to use that version (see 'Access' section below). Users are therefore strongly encouraged to download the EUL version (SN 7215) to see if it contains sufficient detail for their needs, before considering making an application for the Secure Access version.

Latest Edition Information
For the ninth edition (October 2022), the Round 7 person and household data have been updated. The Round 7 Wave 1 Variable Catalogue Excel file has also been updated.

Abstract copyright UK Data Service and data collection copyright owner.The Opinions and Lifestyle Survey (formerly known as the ONS Opinions Survey or Omnibus) is an omnibus survey that began in 1990, collecting data on a range of subjects commissioned by both the ONS internally and external clients (limited to other government departments, charities, non-profit organisations and academia).Data are collected from one individual aged 16 or over, selected from each sampled private household. Personal data include data on the individual, their family, address, household, income and education, plus responses and opinions on a variety of subjects within commissioned modules. The questionnaire collects timely data for research and policy analysis evaluation on the social impacts of recent topics of national importance, such as the coronavirus (COVID-19) pandemic and the cost of living, on individuals and households in Great Britain. From April 2018 to November 2019, the design of the OPN changed from face-to-face to a mixed-mode design (online first with telephone interviewing where necessary). Mixed-mode collection allows respondents to complete the survey more flexibly and provides a more cost-effective service for customers. In March 2020, the OPN was adapted to become a weekly survey used to collect data on the social impacts of the coronavirus (COVID-19) pandemic on the lives of people of Great Britain. These data are held in the Secure Access study, SN 8635, ONS Opinions and Lifestyle Survey, Covid-19 Module, 2020-2022: Secure Access. From August 2021, as coronavirus (COVID-19) restrictions were lifting across Great Britain, the OPN moved to fortnightly data collection, sampling around 5,000 households in each survey wave to ensure the survey remains sustainable. The OPN has since expanded to include questions on other topics of national importance, such as health and the cost of living. For more information about the survey and its methodology, see the ONS OPN Quality and Methodology Information webpage.Secure Access Opinions and Lifestyle Survey dataOther Secure Access OPN data cover modules run at various points from 1997-2019, on Census religion (SN 8078), cervical cancer screening (SN 8080), contact after separation (SN 8089), contraception (SN 8095), disability (SNs 8680 and 8096), general lifestyle (SN 8092), illness and activity (SN 8094), and non-resident parental contact (SN 8093). See Opinions and Lifestyle Survey: Secure Access for details. Main Topics:Each month's questionnaire consists of two elements: core questions, covering demographic information, are asked each month together with non-core questions that vary from month to month. The non-core questions for this month were: Investment Income (Module 7a): this module was asked to discover how much interest, tax exempt or tax deducted, respondents earn on money kept in building society and bank accounts. Includes questions about TESSAs. GP Accidents (Module 78n): this module asked about accidents the respondent had had where help was sought that could have involved a doctor e.g. doctor's surgery, hospital. Expectation of House Price Changes (Module 137): this module asks respondents' views on changes to house prices in the next year and next five years. The module is only asked of HOH or spouse in England and Wales. Private Debt Collection (Module 140): this module assesses respondents views on the use of private debt collectors by the Benefits Agency and how this would differ from the existing use of their own debt collectors. Active for Life (Module 141): this module is only asked in England and evaluates the effectiveness of a publicity campaign to promote the idea that taking moderate physical exercise for 30 minutes a day, 5 days a week, is good for your health. Employees Working Practices (Module 142): this module is only asked of current employees. The module asks about aspects of work including method of payment/working conditions, opportunities for promotion, flexible working, autonomy and influence. Multi-stage stratified random sample Face-to-face interview

Abstract copyright UK Data Service and data collection copyright owner.The Continuous Household Survey (CHS) is one of the largest continuous surveys carried out in Northern Ireland. The survey is designed, conducted and analysed by the Central Survey Unit of the Northern Ireland Statistics and Research Agency (NISRA). It is based on a sample of the general population resident in private households and has been running since 1983. The Survey is designed to provide a regular source of information on a wide range of social and economic issues relevant to Northern Ireland. The CHS is an important source of information in Northern Ireland and is used by many Government departments and Agencies. Regular clients include the Departments of Enterprise, Trade and Investment, Culture Arts and Leisure, Regional Developments, Environment, Education, Employment and Learning and NISRA. Further information about the series, including methodology, may be found on the NISRA Central Survey Unit (CSU) Continuous Household Survey web pages. Main Topics: The main topics covered in the survey included demographic, personal, family and household information, religion, mobile phone/internet access, education, adult health, smoking, drinking, employment, tourism, culture, languages, arts and leisure activities, environment, and benefits. There were also questions asked at a household level on tenure, consumer durables, and recycling. Multi-stage stratified random sample Face-to-face interview 2015 2016 AGE ANXIETY APPLICATION FOR EMP... ATHLETICS ATTENDANCE ATTITUDES BALL GAMES BEDROOMS BROADBAND CARE OF DEPENDANTS CARS CENTRAL HEATING CHILDREN COHABITATION COMBATIVE SPORTS COMPUTERS CONCENTRATION COSTS CULTURAL ACTIVITIES CULTURAL LIFE CULTURAL PARTICIPATION CYCLING DEBILITATIVE ILLNESS DEBTS DECISION MAKING DEPRESSION DISABILITIES ECONOMIC ACTIVITY EDUCATIONAL BACKGROUND EDUCATIONAL CERTIFI... EDUCATIONAL COURSES ELECTRIC POWER SUPPLY ELECTRICAL ENERGY C... EMOTIONAL STATES EMPLOYEES EMPLOYMENT EMPLOYMENT HISTORY EMPLOYMENT PROGRAMMES EMPLOYMENT SERVICES ENERGY CONSUMPTION ENERGY EFFICIENCY ENVIRONMENTAL AWARE... ENVIRONMENTAL ISSUES EQUESTRIAN SPORTS EXERCISE PHYSICAL A... Education FAMILY BENEFITS FAMILY MEMBERS FINANCIAL ADVICE FINANCIAL DIFFICULTIES FINANCIAL RESOURCES FISHING SPORT FLEXIBLE WORKING TIME FOSSIL FUELS FULL TIME EMPLOYMENT FURNISHED ACCOMMODA... GAS SUPPLY GENDER GYMNASTICS General health and ... HAPPINESS HEADS OF HOUSEHOLD HEALTH HEALTH STATUS HEATING SYSTEMS HOURS OF WORK HOUSEHOLD BUDGETS HOUSEHOLDS HOUSING HOUSING AGE HOUSING BENEFITS HOUSING TENURE Health behaviour Health care service... Housing ILL HEALTH INCOME INDOOR SPORTS INDUSTRIES INTERNET ACCESS INTERNET USE JOB HUNTING LANDLORDS LEISURE TIME ACTIVI... LIBRARIES LIBRARY SERVICES LOANS LONGTERM UNEMPLOYMENT Labour and employment MARITAL STATUS MEDICAL PRESCRIPTIONS MOBILE PHONES MORTGAGES MOTOR SPORTS MOTOR VEHICLES MUSEUMS OCCUPATIONAL QUALIF... OCCUPATIONAL TRAINING OCCUPATIONS PART TIME EMPLOYMENT PENSION CONTRIBUTIONS PERSONAL DEBT REPAY... PHYSICAL ACTIVITIES PRIVATE SECTOR PUBLIC SECTOR QUALIFICATIONS RACKET GAMES RECYCLING RELIGIOUS AFFILIATION RELIGIOUS ATTENDANCE RENTED ACCOMMODATION RESIDENTIAL BUILDINGS RESIDENTIAL MOBILITY RESOURCES CONSERVATION ROOMS Religion and values SATISFACTION SELF EMPLOYED SHOOTING SPORT SKATING SMOKING SMOKING CESSATION SOCIAL ATTITUDES SOCIAL ISSUES SOCIAL SECURITY BEN... SOCIAL SECURITY CON... SOCIO ECONOMIC STATUS SPORT SPORT SPECTATORSHIP SPORTS CLUBS SPOUSES STRESS PSYCHOLOGICAL SUPERVISORY STATUS Social conditions a... Specific social ser... TAX RELIEF TELEPHONES TELEVISION PROGRAMMES TEMPORARY EMPLOYMENT TIME TOBACCO UNEMPLOYMENT UNFURNISHED ACCOMMO... UNWAGED WORKERS VOLUNTARY WORK WALKING WATER SPORTS WEIGHT LIFTING WORKPLACE Wounds and injuries

External Debt in Pakistan decreased to 131069 USD Million in the fourth quarter of 2024 from 133683 USD Million in the third quarter of 2024. This dataset provides - Pakistan External Debt - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This table represents the Treasury General Account balance. Additional detail on changes to the Treasury General Account can be found in the Deposits and Withdrawals of Operating Cash table. All figures are rounded to the nearest million.