The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

Extract from 2016 SCF focused on studying the impacts of race and education on inheritances

This analysis finds that entrepreneurship rates have not changed considerably among white-, black-, and Hispanic-headed households since 1998.

Context

Understanding factors that support consumer financial well-being can help practitioners and policymakers empower more families to lead better financial lives to serve their own goals.

A person’s financial well-being comes from their sense of financial security and freedom of choice—both in the present and when considering the future. We measured it using our 10-item Financial Well-Being Scale.

The survey dataset includes respondents’ scores on that scale, as well as measures of individual and household characteristics that research suggests may influence adults’ financial well-being.

Content

Variables relating to question in this dataset include Income and employment, Savings and safety nets, Past financial experiences, and Financial behaviors, skills, and attitudes.

For reference on specific fields, a codebook is available online here.

Acknowledgements

This survey was originally conducted by the US Consumer Finance Protection Bureau and published online in October 2017 here.

The Survey of Consumer Attitudes and Behavior series (also known as the Surveys of Consumers) was undertaken to measure changes in consumer attitudes and expectations, to understand why such changes occur, and to evaluate how they relate to consumer decisions to save, borrow, or make discretionary purchases. The data regularly include the Index of Consumer Sentiment, the Index of Current Economic Conditions, and the Index of Consumer Expectations. Since the 1940s, these surveys have been produced quarterly through 1977 and monthly thereafter. The surveys conducted in 2016 focused on topics such as evaluations and expectations about personal finances, employment, price changes, and the national business situation. Opinions were collected regarding respondents' appraisals of present market conditions for purchasing houses, automobiles, computers, and other durables. Also explored in this survey, were respondents' types of savings and financial investments, loan use, family income, and retirement planning. Other topics in this series typically include vehicle financing, past prices, election issues, and political affiliation. Demographic information includes ethnic origin, sex, age, marital status, and education.

Administrative income tax data indicate that U.S. top income and wealth shares are both substantial and larger than shares observed in household surveys. However, these estimates are sensitive to the unit of analysis, the income concept measured in tax records, and, in the case of wealth, to assumptions about the correlation between income and wealth. We constrain a household survey--the Survey of Consumer Finances--to be conceptually comparable to tax records and are able to reconcile the much of the difference between the survey and administrative estimates. Wealth estimates from administrative income tax data are sensitive to model parameters.

Sweden Consumer Survey: KI: Household Financial Situation: Running into Debts data was reported at 1.000 % in Nov 2018. This stayed constant from the previous number of 1.000 % for Oct 2018. Sweden Consumer Survey: KI: Household Financial Situation: Running into Debts data is updated monthly, averaging 2.000 % from Jan 1996 (Median) to Nov 2018, with 275 observations. The data reached an all-time high of 5.000 % in Sep 2004 and a record low of 0.000 % in Sep 2016. Sweden Consumer Survey: KI: Household Financial Situation: Running into Debts data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.H009: Consumer Survey: National Institute of Economic Research.

Abstract

Household Budget Survey has been conducted annually by Statistics Lithuania since 1996. The HBS methodology was improved in 2003. Some changes were introduced into the design of the sample and recording of households' income and expenditures.

The main objectives of the survey are:
-to obtain weights for Consumer Price Index, -to estimate household expenditure for National Accounts, -to study the general structure of household incomes and expenditures, -to study income and expenditure patterns of disadvantaged groups, including pensioner households, single parent households, etc., -to study income and expenditure disparities among socio-economic groups, -to study consumer behavior among socio-economic groups, -to study effects of policy changes, especially tax changes on income and expenditure.

The target population of Household Budget Survey is based on private households in Lithuania. Households are selected using the random sampling method from the Populations Register. Participation of the selected households in the survey takes one month. After one month other households replace them.

Data is collected through face-to-face interviews and expenditure diaries.

Geographic coverage

National

Analysis unit

• Households,
• Individuals.

Universe

The universe of the survey is private households in Lithuania. Persons living in the institutional households (elderly people nursing homes, imprisonment institutions, army, etc.) have been excluded from the survey.

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

1. Main Household Questionnaire.
2. Diary of Household Expenditure.
3. Individual Questionnaire.
4. Housing Questionnaire.

United States CES: $40 to 49.999 Th: AAE: Transpo: Others: Vehicle Finance data was reported at 176.000 USD in 2016. This records a decrease from the previous number of 178.000 USD for 2015. United States CES: $40 to 49.999 Th: AAE: Transpo: Others: Vehicle Finance data is updated yearly, averaging 406.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 539.000 USD in 1987 and a record low of 176.000 USD in 2016. United States CES: $40 to 49.999 Th: AAE: Transpo: Others: Vehicle Finance data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H041: Consumer Expenditure Survey: By Income Level.

Abstract

The 2017 Global FICP Survey tracks the prevalence of key policy, legal, regulatory, and supervisory efforts to advance financial inclusion and financial consumer protection, including: national financial inclusion strategies, nonbank e-money issuers, agent-based delivery models, simplified customer due diligence, legal frameworks and institutional arrangements for financial consumer protection, disclosure and transparency, fair treatment of consumers, dispute resolution, and financial capability. Financial sector authorities in 124 jurisdictions responded to the 2017 Global FICP Survey. The survey covers regulated financial service providers offering retail credit, deposit, and/or payment products and services. The reporting period was from November 2016 to June 2017.

Geographic coverage

The 2017 Global FICP Survey includes responses from 124 jurisdictions, representing 141 economies and over 90 percent of the world’s unbanked adult population.

Analysis unit

• Jurisdiction as defined by the remit of a financial sector authority.
• Country

Universe

Surveys were sent primarily to central banks and other lead financial sector authorities, and respondents were asked to consult with relevant agencies and submit a joint response.

Kind of data

Event/Transaction data [evn]

Mode of data collection

Internet [int]

Research instrument

The 2017 questionnaire covers selected issues within the following subtopics: - National Financial Inclusion Strategies (NFIS), - regulation and supervision of providers relevant to financial inclusion, - risk-based anti-money laundering and combating finnancing of terrorism (AML/CFT), - institutional and supervisory arrangements for financial consumer protection, - disclosure and transparency, - fair treatment, - dispute resolution, and financial capability.

The survey was conducted in English.

United States CES: $30 to 39.999 Th: AAE: Transpo: Others: Veh Finance Charges data was reported at 160.000 USD in 2016. This records an increase from the previous number of 156.000 USD for 2015. United States CES: $30 to 39.999 Th: AAE: Transpo: Others: Veh Finance Charges data is updated yearly, averaging 336.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 448.000 USD in 1989 and a record low of 147.000 USD in 2013. United States CES: $30 to 39.999 Th: AAE: Transpo: Others: Veh Finance Charges data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H041: Consumer Expenditure Survey: By Income Level.

"Checking accounts" and "Savings accounts (short / long term)" are the top two answers among Dutch consumers in our survey on the subject of "Most used financial products".The survey was conducted online among 2,016 respondents in the Netherlands, in 2024.

Graph and download economic data for Households; Net Worth, Level (BOGZ1FL192090005Q) from Q4 1987 to Q1 2025 about net worth, Net, households, and USA.

Abstract

The Tajikistan Household Budget Survey (HBS) is one of the sectors of socio-economic statistics, which studies the standard of living of the population and, mainly, its financial condition. The survey gives an objective picture of the state and changes in the level and structure of income and expenditure, consumption and accumulation of various population groups, allow to establish differences depending on the age and sex composition of the family, employment in various fields, as well as enterprises of different ownership forms.

The Household Budget Survey provide information on the role of the individual sources in the formation of revenues, depending on the income level of consumption, allow to study the dynamics of consumer demand.

These Household Budget Survey, in addition to the immediate characteristics of the living standards of certain social groups, is widely used in a variety of economic and statistical calculations: - In the calculation of gross domestic product and its distribution for payments in real incomes; - The balance sheet for the production and use of agricultural products; - In calculating the index the cost of living (consumer price index for goods and services); - In the national accounts, where the figures for the household sector occupy a leading position, and so on.

Geographic coverage

National

Analysis unit

• Households,
• Individuals.

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Research instrument

Tajikistan HBS survey instrument consists of eight forms:

Form 1 - "Household Monetary Expenses" is completed and submitted monthly.

Form 2 - "Household Supply and Consumption of Agricultural Produce, Fodder and Fuel" implemented quarterly.

Form 3 - "Circulation of Cattle, Poultry and Their Productivity at Farms for_ Quarter 20_" is a quarterly form.

Form 4 - "Specifications of Plot of Land Belonging to Household" is implemented once a year.

Form 5 - "Specifications of Household Living Conditions in 20_" is submitted once a year.

Form 6 - "Availability of Items of Durable Cultural and Domestic Purpose in Household in 20_" is filled in once a year.

Form 7 - "Information On Each Family Member in _" is filled in once a year.

Form 8 - "Report On Public Catering In A Canteen, Eatery or in Child-Care Institutions" is submitted monthly.

The 2017 Global Financial Inclusion and Consumer Protection (FICP) Survey tracks the prevalence of key policy, legal, regulatory, and supervisory approaches to advancing financial inclusion and consumer protection. The 2017 Global FICP Survey covers key topics related to the enabling environment for financial inclusion and financial consumer protection, including national financial inclusion strategies, the issuance of e-money by nonbanks, agent-based delivery models, simplified customer due diligence, institutional arrangements for financial consumer protection, disclosure, dispute resolution, and financial capability. Financial sector authorities in 124 jurisdictions - representing 141 economies and more than 90% of the world’s unbanked adult population - responded to the 2017 Global FICP Survey. The survey covers regulated financial service providers offering retail credit, deposit, and/or payment products and services. The reporting period was from November 2016 to June 2017.

United States CES: $50 to 69.999 Th: AAE: Transpo: Others: Veh Finance Charges data was reported at 215.000 USD in 2017. This records a decrease from the previous number of 260.000 USD for 2016. United States CES: $50 to 69.999 Th: AAE: Transpo: Others: Veh Finance Charges data is updated yearly, averaging 413.500 USD from Dec 1992 (Median) to 2017, with 26 observations. The data reached an all-time high of 593.000 USD in 2002 and a record low of 215.000 USD in 2017. United States CES: $50 to 69.999 Th: AAE: Transpo: Others: Veh Finance Charges data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.H044: Consumer Expenditure Survey: By Income Level.

Income data has been used extensively by researchers to better understand the economic well-being of Canadians. To meet the needs of these users, Statistics Canada has produced numerous cross-sectional public use microdata files (PUMFs). PUMFs for the Survey of Consumer Finance (SCF) were released until reference year 1997. With the end of the SCF, PUMFs for the Survey of Labour and Income Dynamics (SLID) were produced for reference years 1996 to 2011. The Canadian Income Survey (CIS) was introduced for the 2012 reference year. The CIS is a cross-sectional survey developed to provide information on the income and income sources of Canadians, with their individual and household characteristics. It is a short questionnaire which is asked of a sub-sample of respondents to the Labour Force Survey (LFS), gathering information on labour market activity, school attendance, support payments, child care expenses, inter-household transfers, personal income, and characteristics and costs of housing. The CIS content is supplemented with information from the LFS on individual and household characteristics (e.g. age, educational attainment, main job characteristics, and family type) and with tax data for income and income sources (Statistics Canada, 2016a). The CIS PUMF is an anonymized microdata file that contains only a subset of variables that are available on the CIS master file. Various techniques have been employed to protect CIS respondents against the risk of disclosure.

The purpose of the survey is to collect information from a sample of Canadian families on their assets, debts, employment, income and education. This helps in understanding how family finances change because of economic pressures. The SFS provides a comprehensive picture of the net worth of Canadians. Information is collected on the value of all major financial and non-financial assets and on the money owing on mortgages, vehicles, credit cards, student loans and other debts. A family's net worth can be thought of as the amount of money they would be left with if they sold all of their assets and paid off all of their debts. The survey data are used by government departments to help formulate policy, the private sector and by individuals and families to compare their wealth with those of similar types of families.

The Consumer Sentiment Index in the United States stood at 64.7 in January 2025, an increase from the previous month. The index is normalized to a value of 100 in December 1964 and based on a monthly survey of consumers, conducted in the continental United States. It consists of about 50 core questions which cover consumers' assessments of their personal financial situation, their buying attitudes and overall economic conditions.

The National Survey of Mortgage Originations (NSMO) is a component of the National Mortgage Database (NMDB®) program. It is a quarterly mail survey jointly funded and managed by the Federal Housing Finance Agency (FHFA) and the Consumer Financial Protection Bureau (CFPB). NSMO provides unique and rich information for a nationally representative sample of newly originated closed-end first-lien residential mortgages in the United States, particularly about borrowers’ experiences getting a mortgage, their perceptions of the mortgage market, and their future expectations. This voluntary survey is administered by Westat, a survey and data collection corporation, to the borrowers associated with the sample mortgages. The respondents can either return the English questionnaire by mail or complete the survey online in English or Spanish. NSMO draws its sample from newly originated mortgages that are part of the NMDB, which is a 1-in-20 sample of closed-end first-lien residential mortgages newly reported to one of the three national credit bureaus. Beginning with mortgages originated in 2013, a simple random sample of about 6,000 mortgages per quarter is drawn for NSMO from loans newly added to the NMDB. The NSMO survey has been conducted quarterly since the first quarter of 2014. The current survey package sent to the respondents can be viewed here.The NSMO public use file was updated on July 1, 2024 to append additional survey records and additional quarters of mortgage performance information. It replaced the public use file released on March 3, 2023. The updated file contains 50,542 sample mortgages originated from 2013 through 2021 based on the first 34 quarterly waves of the NSMO survey. For these mortgages, the updated file contains mortgage performance information through the third quarter of 2023.The original NSMO public use file was published on November 8, 2018, containing mortgages originated from 2013 through 2016. It was first updated on February 20, 2020, containing mortgages originated through 2017. Subsequent updates were published on July 29, 2021 (containing mortgages originated through 2019) and on December 13, 2022 and March 3, 2023 (both containing mortgages originated through 2020).