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TwitterThe 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.
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Graph and download economic data for Employment Level - 35-44 Yrs., Men (LNS12000173) from Jan 1948 to Sep 2025 about 35 to 44 years, males, household survey, employment, and USA.
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Graph and download economic data for U.S.-Chartered Depository Institutions; Leases to Households; Asset (Call Report; Consolidated), Transactions (BOGZ1FU763066303A) from 1946 to 2024 about U.S.-chartered, leases, transactions, households, assets, and USA.
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United States SCE: Household Income Growth Expectation: 1 Year Ahead: Median Point Prediction data was reported at 2.606 % in Apr 2025. This records a decrease from the previous number of 2.797 % for Mar 2025. United States SCE: Household Income Growth Expectation: 1 Year Ahead: Median Point Prediction data is updated monthly, averaging 2.818 % from Jun 2013 (Median) to Apr 2025, with 143 observations. The data reached an all-time high of 4.578 % in Dec 2022 and a record low of 1.867 % in Apr 2020. United States SCE: Household Income Growth Expectation: 1 Year Ahead: Median Point Prediction data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.H083: Survey of Consumer Expectations: Household Income and Spending.
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USDA's National Household Food Acquisition and Purchase Survey (FoodAPS) is the first nationally representative survey of U.S. households to collect unique and comprehensive data about household food purchases and acquisitions. Detailed information was collected about foods purchased or otherwise acquired for consumption at home and away from home, including foods acquired through food and nutrition assistance programs. The survey includes nationally representative data from 4,826 households, including Supplemental Nutrition Assistance Program (SNAP) households, low-income households not participating in SNAP, and higher income households. For a more detailed description of the survey, see Background.
The USDA, Economic Research Service and the University of Maryland, College Park are pleased to host the "International Food Acquisition Research and Methods" (iFARM) workshop on October 20-21, 2022 (rescheduled from April 2022 in order to accommodate an in-person event), at the University of Maryland. The goal of the workshop is to bring together researchers from different disciplines to discuss advancements in methods for collecting and processing food acquisition data. More information on the workshop can be found on the University of Maryland’s Social Data Science Center’s iFARM webpage.
Public-use FoodAPS data are available for download in three file formats: SAS, STATA, and CSV. If the public-use files are not sufficient for the researchers' needs, see the Data Access page for instructions about how to gain access to restricted-use data.
The public-use files include: The household-level and individual-level interview files, the food-at-home (FAH) and food-away-from-home (FAFH) event files, the FAH and FAFH item files, data from the Meals and Snacks form, household access to FAFH outlets, and SNAP-authorized FAH retailers.
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The Survey of Consumer Finances (SCF) dataset, provided by the Federal Reserve, offers comprehensive insights into the financial condition of U.S. households. This dataset is invaluable for researchers, policymakers, and analysts interested in understanding consumer behavior, wealth distribution, and economic trends in the United States.
The SCF dataset includes detailed information on household income, assets, liabilities, and various demographic characteristics. It is collected every three years and serves as a crucial resource for analyzing the financial well-being of American families.
Key Features: Income Data: Information on various sources of income, including wages, investments, and government assistance. Asset Ownership: Detailed accounts of household assets, such as real estate, retirement accounts, stocks, and other investments. Liabilities:Comprehensive details on household debts, including mortgages, credit card debts, and student loans. Demographics: Data covering age, education, race, and family structure, allowing for nuanced analysis of financial trends across different segments of the population.
Use Cases: Economic research and analysis, Policy formulation and assessment, Understanding wealth inequality, Consumer behavior studies
Citing the Dataset:
When using this dataset in your research, please ensure to cite the Federal Reserve Board and the SCF as the original source.
Note: The dataset is intended for educational and research purposes. Users are encouraged to adhere to ethical guidelines when analyzing and interpreting the data.
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Context
The dataset presents median household incomes for various household sizes in United States, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.
Key observations
https://i.neilsberg.com/ch/united-states-median-household-income-by-household-size.jpeg" alt="United States median household income, by household size (in 2022 inflation-adjusted dollars)">
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Household Sizes:
Variables / Data Columns
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Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for United States median household income. You can refer the same here
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Graph and download economic data for Unemployed Persons in Wisconsin (LAUST550000000000004) from Jan 1976 to Aug 2025 about WI, household survey, persons, unemployment, and USA.
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Context
The dataset presents median household incomes for various household sizes in Dell City, TX, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.
Key observations
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.
Household Sizes:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Dell City median household income. You can refer the same here
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Graph and download economic data for Unemployment Level - 25 to 64 years, Men (TOTLUM2564) from Jan 2000 to Aug 2025 about 25 to 64 years, males, household survey, unemployment, and USA.
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Graph and download economic data for Household Debt Service Payments as a Percent of Disposable Personal Income (TDSP) from Q1 1980 to Q2 2025 about disposable, payments, personal income, debt, percent, households, personal, income, services, and USA.
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Graph and download economic data for Household Estimates (TTLHHM156N) from Apr 1955 to Jun 2025 about households and USA.
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Graph and download economic data for Family Households with Married Couples (FHHWMC) from 1940 to 2024 about married, family, household survey, households, and USA.
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Graph and download economic data for Total One Parent Families with Children under 18 Years Old (TTLOPFWCU) from 1950 to 2024 about 18 years +, family, child, household survey, and USA.
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Graph and download economic data for Employment Level - Persons At Work 1-34 Hours, Economic Reasons, All Industries (LNU02032194) from May 1955 to Sep 2025 about hours, 16 years +, household survey, employment, industry, and USA.
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Graph and download economic data for Employment Level (CE16OV) from Jan 1948 to Sep 2025 about civilian, 16 years +, household survey, employment, and USA.
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Graph and download economic data for Employment Level (LNU02000000) from Jan 1948 to Sep 2025 about 16 years +, household survey, employment, and USA.
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Graph and download economic data for Unemployment Level - White (LNS13000003) from Jan 1954 to Sep 2025 about white, 16 years +, household survey, unemployment, and USA.
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Graph and download economic data for Unemployment Rate - 25 Yrs. & over, Women (LNS14000050) from Jan 1948 to Aug 2025 about 25 years +, females, household survey, unemployment, rate, and USA.
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TwitterSince 2013, the Federal Reserve Board has conducted the Survey of Household Economics and Decision-making (SHED), which measures the economic well-being of U.S. households and identifies potential risks to their finances. The survey includes modules on a range of topics of current relevance to financial well-being including credit access and behaviors, savings, retirement, economic fragility, and education and student loans.