Consumer confidence survey in the USA, June, 2025 The most recent value is 60.5 points as of June 2025, an increase compared to the previous value of 52.2 points. Historically, the average for the USA from January 1978 to June 2025 is 84.43 points. The minimum of 50 points was recorded in June 2022, while the maximum of 112 points was reached in January 2000. | TheGlobalEconomy.com

The National Crime Victimization Survey (NCVS) Series, previously called the National Crime Surveys (NCS), has been collecting data on personal and household victimization through an ongoing survey of a nationally-representative sample of residential addresses since 1973. The NCVS was designed with four primary objectives: (1) to develop detailed information about the victims and consequences of crime, (2) to estimate the number and types of crimes not reported to the police, (3) to provide uniform measures of selected types of crimes, and (4) to permit comparisons over time and types of areas. The survey categorizes crimes as "personal" or "property." Personal crimes include rape and sexual attack, robbery, aggravated and simple assault, and purse-snatching/pocket-picking, while property crimes include burglary, theft, motor vehicle theft, and vandalism. Each respondent is asked a series of screen questions designed to determine whether she or he was victimized during the six-month period preceding the first day of the month of the interview. A "household respondent" is also asked to report on crimes against the household as a whole (e.g., burglary, motor vehicle theft). The data include type of crime, month, time, and location of the crime, relationship between victim and offender, characteristics of the offender, self-protective actions taken by the victim during the incident and results of those actions, consequences of the victimization, type of property lost, whether the crime was reported to police and reasons for reporting or not reporting, and offender use of weapons, drugs, and alcohol. Basic demographic information such as age, race, gender, and income is also collected, to enable analysis of crime by various subpopulations. This version of the NCVS, referred to as the collection year, contains records from interviews conducted in the 12 months of the given year.

United States US: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data was reported at 1.670 % in 2016. United States US: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data is updated yearly, averaging 1.670 % from Dec 2016 (Median) to 2016, with 1 observations. United States US: Survey Mean Consumption or Income per Capita: Total Population: Annualized Average Growth Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United States – Table US.World Bank.WDI: Poverty. The growth rate in the welfare aggregate of the total population is computed as the annualized average growth rate in per capita real consumption or income of the total population in the income distribution in a country from household surveys over a roughly 5-year period. Mean per capita real consumption or income is measured at 2011 Purchasing Power Parity (PPP) using the PovcalNet (http://iresearch.worldbank.org/PovcalNet). For some countries means are not reported due to grouped and/or confidential data. The annualized growth rate is computed as (Mean in final year/Mean in initial year)^(1/(Final year - Initial year)) - 1. The reference year is the year in which the underlying household survey data was collected. In cases for which the data collection period bridged two calendar years, the first year in which data were collected is reported. The initial year refers to the nearest survey collected 5 years before the most recent survey available, only surveys collected between 3 and 7 years before the most recent survey are considered. The final year refers to the most recent survey available between 2011 and 2015. Growth rates for Iraq are based on survey means of 2005 PPP$. The coverage and quality of the 2011 PPP price data for Iraq and most other North African and Middle Eastern countries were hindered by the exceptional period of instability they faced at the time of the 2011 exercise of the International Comparison Program. See PovcalNet for detailed explanations.; ; World Bank, Global Database of Shared Prosperity (GDSP) circa 2010-2015 (http://www.worldbank.org/en/topic/poverty/brief/global-database-of-shared-prosperity).; ; The comparability of welfare aggregates (consumption or income) for the chosen years T0 and T1 is assessed for every country. If comparability across the two surveys is a major concern for a country, the selection criteria are re-applied to select the next best survey year(s). Annualized growth rates are calculated between the survey years, using a compound growth formula. The survey years defining the period for which growth rates are calculated and the type of welfare aggregate used to calculate the growth rates are noted in the footnotes.

ASS: Exp: FI: SCOR: Commodity Contracts Brokerage data was reported at 3.399 USD bn in 2016. This records a decrease from the previous number of 3.602 USD bn for 2015. ASS: Exp: FI: SCOR: Commodity Contracts Brokerage data is updated yearly, averaging 3.602 USD bn from Dec 2003 (Median) to 2016, with 11 observations. The data reached an all-time high of 5.100 USD bn in 2008 and a record low of 2.960 USD bn in 2003. ASS: Exp: FI: SCOR: Commodity Contracts Brokerage data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.H021: Annual Services Survey: Employer Firms Expense.

Bumblebee community surveys used occupancy survey designs primarily across lands managed by the Bureau of Land Management (BLM) and Glacier National Park (GNP). They also include a few surveys in Nevada. These records represent timed surveys that were both successful and unsuccessful in detecting western bumblebees.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.Prior to 1996, surveys pertaining to youth gangs in the United States were conducted infrequently, and methodology and samples had been inconsistent. No single source of data pertaining to the nature, size, and scope of youth gangs existed. From 1996 through 2012, the National Youth Gang Survey (NYGS) collected data annually from a large, representative sample of local law enforcement agencies to track the span and seriousness of gang activity nationwide. The NYGS collected data from a sample of the universe of law enforcement agencies in the United States from which data can be extrapolated to determine the scope of youth gangs nationally.This collection includes one SPSS data file "1996-2001_cleaned_for_NACJD.sav" with 330 variables and 3,018 cases.

Abstract

The U.S. Residential Energy Consumption Survey, administered by the U.S. Energy Information Administration (EIA), uses a nationally representative sample to collect information about home characteristics, household energy usage, and energy cost. The microdata at the household level from 2020, 2015, 2009, 2005, 2001, 1997, 1993,1990, and 1987, made available by the EIA for public use, were curated by Carnegie Mellon University Libraries to make it more accessible for data analysis.

Methodology

Survey background and technical information

Usage

• Microdata are organized by year and can be found in "Tables;"
• Years include 2020, 2015, 2009, 2005, 2001, 1997, 1993, 1990, and 1987;
• In "Files," there are 9 folders (named by year), each of which contains the codebook(s) for a given year; for a given year, the codebook is provided in one file for all variables, if the EIA made this available; for some years, the EIA uses multiple files to organize its codebook (e.g., 1997);
• For 2020, 2015, and 2009, there is a PDF file (e.g., microdata_guide_xxxx) that describes how to use the provided sample weights to calculate standard errors; for other years, similar instructions can be found via the URL of the microdata description page on the EIA's website, provided in the description field of the microdata table for a given year (e.g., 1993).

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The New Immigrant Survey (NIS) was a nationally representative, longitudinal study of new legal immigrants to the United States and their children. The sampling frame was based on the electronic administrative records compiled for new legal permanent residents (LPRs) by the U.S. government (via, formerly, the U.S. Immigration and Naturalization Service (INS) and now its successor agencies, the U.S. Citizenship and Immigration Services (USCIS) and the Office of Immigration Statistics (OIS)). The sample was drawn from new legal immigrants during May through November of 2003. The geographic sampling design took advantage of the natural clustering of immigrants. It included all top 85 Metropolitan Statistical Areas (MSAs) and all top 38 counties, plus a random sample of MSAs and counties. The baseline survey was conducted from June 2003 to June 2004 and yielded data on: 8,573 Adult Sample respondents, 810 sponsor-parents of the Sampled Child, 4,915 spouses, and 1,072 children aged 8-12. Interviews were conducted in the respondents' language of choice. The Round 1 questionnaire items that were used in social-demographic-migration surveys around the world as well as the major U.S. longitudinal surveys were reviewed in order to achieve comparability. The NIS content includes the following information: demographic, health and insurance, migration history, living conditions, transfers, employment history, income, assets, social networks, religion, housing environment, and child assessment tests.

This data collection provides information on the characteristics of the housing inventory in 12 Standard Metropolitan Statistical Areas (SMSAs). Data include year the structure was built, type and number of living quarters, occupancy status, presence of commercial establishments on the property, presence of a garage, and property value. Additional data focus on kitchen and plumbing facilities, type of heating fuel used, source of water, sewage disposal, and heating and air conditioning equipment. Information about housing expenses includes mortgage or rent payments, utility costs, garbage collection fees, property insurance, and real estate taxes as well as repairs, additions, or alterations to the property. Similar data are provided for housing units previously occupied by respondents who had recently moved. Indicators of housing and neighborhood quality are also supplied. Housing quality variables include privacy of bedrooms, condition of kitchen facilities, basement or roof leakage, presence of cracks or holes in walls, ceilings, or floor, reliability of plumbing and heating equipment, and concealed electrical wiring. The presence of storm doors and windows and insulation was also noted. Neighborhood quality variables indicate presence of and objection to street noise, odors, crime, litter, and rundown and abandoned structures, as well as the adequacy of street lighting, public transportation, public parks, schools, shopping facilities, and police and fire protection. Extensive information on the ability of handicapped persons to move around their homes is also provided. Respondents were asked if they needed special equipment, or the help of another person to move around. They were also asked about the presence or need for housing features to aid their movement, such as ramps, braille lettering, elevators, and extra wide doors. In addition to housing characteristics, demographic data for household members are provided, including sex, age, race, income, marital status, and household relationship. Additional data are available for the household head, including Hispanic origin, length of residence, and travel-to-work information.

Abstract

The World Bank Enterprise Survey (WBES) is a firm-level survey of a representative sample of an economy's private sector. The surveys cover a broad range of topics related to the business environment including access to finance, corruption, infrastructure, competition, and performance.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

All formal (i.e., registered) private sector businesses (with at least 1% private ownership) and with at least five employees. In terms of sectoral criteria, all manufacturing businesses (ISIC Rev 4. codes 10-33) are eligible; for services businesses, those corresponding to the ISIC Rev 4 codes 41-43, 45-47, 49-53, 55-56, 58, 61-62, 69-75, 79, and 95 are included in the Enterprise Surveys. Cooperatives and collectives are excluded from the Enterprise Surveys. All eligible establishments must be registered with the registration agency. In the case of the United States, registration was considered as being registered with the Business Registry and/or the Internal Revenue Service, as a business entity.

The universe table is the total number of eligible establishments, and the table is partitioned by the stratification groups (industry classification, establishment size, and subnational region) in a country.

Note: The universe table can be found in Table 1 of the "United States 2024 World Bank Enterprise Survey Implementation Report, Tables".

Kind of data

Sample survey data [ssd]

Sampling procedure

The WBES use stratified random sampling, where the population of establishments is first separated into non-overlapping groups, called strata, and then respondents are selected through simple random sampling from each stratum. The detailed methodology is provided in the Sampling Note (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note-Consolidated-2-16-22.pdf). Stratified random sampling has several advantages over simple random sampling. In particular, it:

• produces unbiased estimates of the whole population or universe of inference, as well as at the levels of stratification
• ensures representativeness by including observations in all of those categories
• produces more precise estimates for a given sample size or budget allocation, and
• may reduce implementation costs by splitting the population into convenient subdivisions.

The WBES typically use three levels of stratification: industry classification, establishment size, and subnational region (used in combination). Starting in 2022, the WBES bases the industry classification on ISIC Rev. 4 (with earlier surveys using ISIC Rev. 3.1). For regional coverage within a country, the WBES has national coverage.

Note: For detailed sampling methodology, refer to the Sampling Structure section in "The United States 2024 World Bank Enterprise Survey Implementation Report".

Mode of data collection

Face-to-face [f2f]

Research instrument

The standard WBES questionnaire covers several topics regarding the business environment and business performance. These topics include general firm characteristics, infrastructure, sales and supplies, trade, management practices, competition, innovation, capacity, land and permits, finance, business-government relations, exposure to bribery, labor, and performance. Information about the general structure of the questionnaire is available in the Enterprise Surveys Manual and Guide (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Enterprise-Surveys-Manual-and-Guide.pdf).

Response rate

Overall survey response rate was 11.5%.

Zipped folder includes three JAGS model files, one R file containing trapping and eDNA survey data, one R file with code to run all analyses, and a metadata file explaining the contents of each and how to repeat analyses. (ZIP)

This data collection is comprised of responses from two sets of survey questionnaires, the basic Current Population Survey (CPS) and a survey administered as a supplement to the February 2013 basic CPS questionnaire. The supplement, on the topic of public participation in the arts in the United States, was sponsored by the National Endowment for the Arts. The CPS, administered monthly, collects labor force data about the civilian noninstitutional population aged 15 years old or older living in the United States. Moreover, the CPS provides current estimates of the economic status and activities of this population which includes estimates of total employment (both farm and nonfarm), nonfarm self-employed persons, domestics, and unpaid helpers in nonfarm family enterprises, wage and salaried employees, and estimates of total unemployment. The basic CPS data are provided on labor force activity for the week prior to the survey. In addition, CPS provides respondents' demographic characteristics such as age, sex, race, marital status, educational attainment, family relationship, occupation, and industry. In addition to the basic CPS questions, the February 2013 Annual Arts Basic Survey (AABS) questions were asked of the CPS respondent and spouse as well as another randomly selected household member aged 18 or older and his/her spouse. About one-quarter of the sampled households were asked the supplement questions. Interview numbers 3 and 7 were asked the supplement questions. If the selected person had a spouse or partner then questions were also asked of the spouse/partner. The supplement contained questions about the sampled member's participation in various artistic activities from February 2012 through February 2013. Questions were asked about the type of artistic activity attended including attending a live music, theater, or dance performance. Questions also included attending a live book reading or a poetry or storytelling event, an art exhibit, going to the movies or to see a film, or taking any lessons or classes in music or music appreciation. Interviews were conducted during the period of February 17-23, 2013. The total sample size of the 2013 AABS was 150,827 Americans, ages 18 and older.

Employment: NF: sa: RT: LG: Outdoor Power Eqp data was reported at 31.500 Person th in Mar 2025. This records a decrease from the previous number of 31.600 Person th for Feb 2025. Employment: NF: sa: RT: LG: Outdoor Power Eqp data is updated monthly, averaging 31.800 Person th from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 35.000 Person th in May 2000 and a record low of 27.600 Person th in Nov 2010. Employment: NF: sa: RT: LG: Outdoor Power Eqp data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Employment Statistics: Employment: Non Farm Payroll: Seasonally Adjusted.

United States Business Leaders Survey: DI: Capital Spending data was reported at -3.500 Point in Apr 2025. This records an increase from the previous number of -4.300 Point for Mar 2025. United States Business Leaders Survey: DI: Capital Spending data is updated monthly, averaging 9.000 Point from Jun 2013 (Median) to Apr 2025, with 143 observations. The data reached an all-time high of 25.200 Point in Jan 2016 and a record low of -47.700 Point in May 2020. United States Business Leaders Survey: DI: Capital Spending 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.S058: Business Leaders Survey.

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. In the earlier days of surveying, the only way to represent this data was to generate an analog map with contour lines. This dataset is a representation of the digitized contour lines either by following the lines or by choosing the intersection of the contour and flight-line to create a value of the magnetic field. The values presented are latitude, longitude, and map magnetic-field values.

United States Loan Officer Survey: SLA: Very Important data was reported at 0.000 % in Apr 2018. This records a decrease from the previous number of 14.300 % for Jan 2018. United States Loan Officer Survey: SLA: Very Important data is updated quarterly, averaging 12.350 % from Jan 2008 (Median) to Apr 2018, with 42 observations. The data reached an all-time high of 73.300 % in Oct 2008 and a record low of 0.000 % in Apr 2018. United States Loan Officer Survey: SLA: Very Important data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.KA037: Senior Loan Officer Opinion Survey: Reason for Strong Demand for Commercial & Industrial Loans. Senior Loan Officer Survey Questionnaire: If demand for C&I loans has strengthened over the past three months, how important have been the increase in customer borrowing shifted to your bank from other bank or non bank sources because these other sources became less attractive on the possible reason of change?

Parameters, prior distributions, and posterior summaries for detection and occupancy parameters from a joint occupancy model that integrates both trapping and eDNA survey results.

Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Race for the U.S.: 2022.Table ID.ABSCS2022.AB00MYCSA01C.Survey/Program.Economic Surveys.Year.2022.Dataset.ECNSVY Annual Business Survey Company Summary.Release Date.2024-12-19.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Race White Black or African American American Indian and Alaska Native Asian Asian Indian Chinese Filipino Japanese Korean Vietnamese Other Asian Native Hawaiian and Other Pacific Islander Native Hawaiian Guamanian or Chamorro Samoan Other Pacific Islander Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White) Equally minority/nonminority Nonminority (Firms classified as non-Hispanic and White) Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Office of Notaries (NAICS 541120)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2022 BERD sample, or have high receipts, payroll, or employment. Total sample size is 850,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2022 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval number: CBDRB-FY24-0351).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see An...

In December 2017, the Urban Institute launched the Well-Being and Basic Needs Survey (WBNS), a nationally representative, internet-based survey of non-elderly adults designed to monitor changes in individual and family well-being during a time when policymakers are considering significant changes to federal safety net programs serving low-income families. The 2020 round of the survey collects information on a broad array of topics related to health, material hardship, and the safety net, including health insurance, housing, food security, employment, family income, program participation, family financial security, disability, school enrollment, child care, COVID-19 vaccine attitudes, the impact of the COVID-19 pandemic on family employment, and immigration issues.

Key Table Information.Table Title.State and Locally-Administered Defined Benefit Pension Systems: U.S. and States: 2012 - 2016.Table ID.GOVSTIMESERIES.GS00PP01.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.2020-07-28.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...