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

ASS: Exp: ASWR: Admin: Other data was reported at 10.056 USD bn in 2016. This records an increase from the previous number of 9.554 USD bn for 2015. ASS: Exp: ASWR: Admin: Other data is updated yearly, averaging 14.485 USD bn from Dec 2003 (Median) to 2016, with 14 observations. The data reached an all-time high of 18.202 USD bn in 2006 and a record low of 9.554 USD bn in 2015. ASS: Exp: ASWR: Admin: Other 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.

The 2015 U.S. Transgender Survey (USTS) was conducted by the National Center for Transgender Equality (NCTE) to examine the experiences of transgender adults in the United States. The USTS questionnaire was administered online and data were collected over a 34-day period in the summer of 2015, between August 19 and September 21. The final sample included respondents from all fifty states, the District of Columbia, American Samoa, Guam, Puerto Rico, and U.S. military bases overseas. The USTS Public Use Dataset (PUDS) features survey results from 27,715 respondents and details the experiences of transgender people across a wide range of areas, such as education, employment, family life, health, housing, and interactions with police and prisons. The survey instrument had thirty-two sections that covered a broad array of topics, including questions related to the following topics (in alphabetical order): accessing restrooms; airport security; civic participation; counseling; family and peer support; health and health insurance; HIV; housing and homelessness; identity documents; immigration; intimate partner violence; military service; police and incarceration; policy priorities; public accommodations; sex work; sexual assault; substance use; suicidal thoughts and behaviors; unequal treatment, harassment, and physical attack; and voting. Demographic information includes age, racial and ethnic identity, sex assigned at birth, gender and preferred pronouns, sexual orientation, language(s) spoken at home, education, employment, income, religion/spirituality, and marital status. There are no publicly available data files for this study. The naming conventions were maintained from the original pre-ICPSR release and the PUDS file is restricted use along with the qualitative data (MS Excel) file. Before applying for access to these data please refer to the Approved Requests for USTS Data. These abstracts describe work currently in progress, and we provide them to help reduce the risk of duplication of research efforts.

Number of Businesses statistics on the Surveying & Mapping Services industry in United States

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.

CES: 25 to 34Yrs: AAE: Food: AH: Dairy: Fresh Milk & Cream data was reported at 143.000 USD in 2016. This records an increase from the previous number of 134.000 USD for 2015. CES: 25 to 34Yrs: AAE: Food: AH: Dairy: Fresh Milk & Cream data is updated yearly, averaging 135.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 164.000 USD in 2008 and a record low of 117.000 USD in 1998. CES: 25 to 34Yrs: AAE: Food: AH: Dairy: Fresh Milk & Cream 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.H040: Consumer Expenditure Survey: By Age Group.

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.

Graph and download economic data for All Employees, Federal from Jan 1939 to May 2025 about establishment survey, federal, government, employment, and USA.

Graph and download economic data for Total One Parent Families with Children under 18 Years Old with Father (OPFWCUFO) from 1950 to 2024 about 18 years +, under 18 years, family, child, household survey, and USA.

The American Community Survey (ACS) is an ongoing survey that provides vital information on a yearly basis about our nation and its people by contacting over 3.5 million households across the country. The resulting data provides incredibly detailed demographic information across the US aggregated at various geographic levels which helps determine how more than $675 billion in federal and state funding are distributed each year. Businesses use ACS data to inform strategic decision-making. ACS data can be used as a component of market research, provide information about concentrations of potential employees with a specific education or occupation, and which communities could be good places to build offices or facilities. For example, someone scouting a new location for an assisted-living center might look for an area with a large proportion of seniors and a large proportion of people employed in nursing occupations. Through the ACS, we know more about jobs and occupations, educational attainment, veterans, whether people own or rent their homes, and other topics. Public officials, planners, and entrepreneurs use this information to assess the past and plan the future. For more information, see the Census Bureau's ACS Information Guide . This public dataset is hosted in Google BigQuery as part of the Google Cloud Public Datasets Program , with Carto providing cleaning and onboarding support. It is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

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.

Graph and download economic data for Employment Level (CE16OV) from Jan 1948 to May 2025 about civilian, 16 years +, household survey, employment, and USA.

The Digital Geologic Map of the U.S. Geological Survey Mapping in the Western Portion of Amistad National Recreation Area, Texas is composed of GIS data layers complete with ArcMap 9.3 layer (.LYR) files, two ancillary GIS tables, a Map PDF document with ancillary map text, figures and tables, a FGDC metadata record and a 9.3 ArcMap (.MXD) Document that displays the digital map in 9.3 ArcGIS. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Eddie Collins, Amanda Masterson and Tom Tremblay (Texas Bureau of Economic Geology); Rick Page (U.S. Geological Survey); Gilbert Anaya (International Boundary and Water Commission). Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation sections(s) of this metadata record (wpam_metadata.txt; available at http://nrdata.nps.gov/amis/nrdata/geology/gis/wpam_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.3 personal geodatabase (wpam_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 14N. The data is within the area of interest of Amistad National Recreation Area.

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.

Graph and download economic data for Unemployment Rate - Foreign Born, Men (LNU04073396) from Jan 2007 to May 2025 about foreign, males, 16 years +, household survey, unemployment, rate, and USA.

Survey data includes spatial datasets and data tables necessary to digitally represent data collected in the survey phase of the study. (Source: FEMA Guidelines and Specs, Appendix N)

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.

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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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.

The Commodity Flow Survey (CFS) is undertaken through a partnership between the U.S. Census Bureau, U.S. Department of Commerce, and the Research and Innovation Technology Administration, Bureau of Transportation Statistics (BTS), U.S. Department of Transportation. This survey produces data on the movement of goods in the United States. It provides information on commodities shipped, their value, weight, and mode of transportation, as well as the origin and destination of shipments of manufacturing, mining, wholesale, and select retail and services establishments. The data from the CFS are used by public policy analysts and for transportation planning and decision making to access the demand for transportation facilities and services, energy use, and safety risk and environmental concerns. This dataset provides data for the Hazardous Materials Series.