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The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year. Social Characteristics – ancestry, disability, educational attainment, fertility, grandparents, household, language spoken, marital status, place of birth, region of birth, relationships, residence, school enrollment, US citizenship status, veteran status, and year of entry
The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year. Population Demographics by gender, race, age, households, and relationships.
The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year.
Economic Characteristics – class of worker, commute to work, employment status, health insurance, income and benefits, industry,occupation, and poverty.
The American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties
The American Community Survey (ACS) is an ongoing survey that provides data every year -- giving communities the current information they need to plan investments and services. Information from the survey generates data that help determine how more than $400 billion in federal and state funds are distributed each year. Housing Characteristics – house heating fuel, housing occupancy, housing value, mortgage status, occupants per room, rent, rooms, selected characteristics, selected monthly owner cost, units in structure, vehicles available, year of move-in, and year structure built.
For information on confidentiality protection, sampling error, nonsampling error, and definitions, see Survey Methodology. . Data in this table represent those available when this report was created. Data may not be available for all NAICS industries or geographies. Detail items may not add to total due to independent rounding. For information on ASM, including changes for 2014, see the Annual Survey of Manufactures (ASM) Website.
The Value of Construction Put in Place Survey (VIP) provides monthly estimates of the total dollar value of construction work done in the U.S. The United States Code, Title 13, authorizes this program. The survey covers construction work done each month on new structures or improvements to existing structures for private and public sectors. Data estimates include the cost of labor and materials, cost of architectural and engineering work, overhead costs, interest and taxes paid during construction, and contractor’s profits. Data collection and estimation activities begin on the first day after the reference month and continue for about three weeks. Reported data and estimates are for activity taking place during the previous calendar month. The survey has been conducted monthly since 1964.
Quarterly Services Report: Estimated Quarterly Revenue for Employer Firms, United States
The U.S. Census Bureau conducts the Quarterly Services Survey (QSS) to provide national estimates of quarterly revenue for employer firms located in the United States and classified in select service industries. The current total sample size is approximately 19,500 employer firms.
Exports from Manufacturing Establishments includes estimates for the value of manufactured exports and related employment. This report shows estimates at the national and state level for "direct" exports (exports manufactured in the United States (U.S.) and consumed in foreign markets), supporting shipments (intermediate goods and services required to manufacture exported goods), and related employment for the manufacturing sector. In addition, supporting employment outside the manufacturing sector associated with manufactured exports is provided. The data in this report also include estimates of employment associated with transporting manufactured goods for export from the plant of manufacture to the port of export.
1. Manufacturing and Non-manufacturing employment computation is based on state-based input-output tables from the Bureau of Economic Analysis
2. "Other" Employment related to manufactured exports include forestry, agriculture, and business services.
3. Civilian Employment represents state data from the State and Area Employment, Hours, and Earnings series from the Bureau of Labor Statistics, plus the difference between the total civilian labor force employment and the sum of the private nonagricultural wage and salary workers from the Bureau of Labor Statistics' series "Geographic Profile of Employment and Unemployment.
4. Private Sector Employment represents the figure for civilian employment less the total number of government workers from the Bureau of Labor Statistics State and Area Employment, Hours, and Earnings series.
5. Export-related employment data shown do not include jobs involved in the exports of nonmanufactured goods, such as farm products, minerals, and services sold to foreign buyers. Indirect exports exclude imported items.
Characteristics of same sex couple households from 2005 till 2016.
-Beginning with 2013 data products, tables reflect edit/processing changes which show same-sex married couples along with all married couples. Tables that have a line for "married couples" will include same-sex married couples, unless otherwise noted, and the marital status for those adults will be shown as "now married" or "married, spouse present."
-For 2008, changes in the questionnaire format and data capture procedures between explanation, see the note on the Same-sex page: http://www.census.gov/hhes/samesex/data/acs.html
The Manufacturers’ Shipments, Inventories, and Orders (M3) survey provides broad-based, monthly statistical data on economic conditions in the domestic manufacturing sector. The survey measures current industrial activity and provides an indication of future business trends.
Estimates of End-of-Month Retail Inventories and Inventories/Sales Ratios by Kind of Business: 2015
Note: Estimates exclude food services. Inventory estimates include data for auxiliary establishments; for example, warehouses servicing retail stores. Information on sample design, estimation procedures, and measures of sampling variability can be found on the Internet at http://www.census.gov/retail/mrts/how_surveys_are_collected.html
Estimates of Monthly Retail and Food Services Sales by Kind of Business.
Note: Estimates are not adjusted for price changes. Retail and food services total and other subsector totals may include data for kinds of business not shown. Information on sample design, estimation procedures, and measures of sampling variability can be found on the internet at http://www.census.gov/retail/mrts/how_surveys_are_collected.html.
Estimates are shown in millions of dollars and are based on data from the Monthly Retail Trade Survey, Annual Retail Trade Survey, and administrative records
Estimates are not adjusted for price changes. Retail and food services total and other sub sector totals may include data for kinds of business not shown.
2018 Annual values are sum of 11 Months (2018Jan - 2018Nov)
Advance estimates are based on early reports obtained from a small sample of firms selected from the larger Monthly Retail Trade Survey (MRTS) sample.All other estimates are from the MRTS sample. GAFO represents firms which specialize in department store types of merchandise and is comprised of furniture & home furnishings (442), electronics & appliances (443), clothing & accessories (448), sporting goods, hobby, musical instrument, and book (451), general merchandise (452), office supply, stationery, and gift stores (4532). (Total sales estimates are shown in millions of dollars and are based on data from the Advance Monthly Retail Trade Survey, Monthly Retail Trade Survey, and administrative records.)
E-commerce sales are sales of goods and services where an order is placed by the buyer or price and terms of sale are negotiated over an Internet, extranet, Electronic Data Interchange (EDI) network, electronic mail, or other online system. Payment may or may not be made online. Estimates are based on data from the Monthly Retail Trade Survey and administrative records. Unless otherwise specified, all estimates are revised based on the 2016 Annual Retail Trade Survey.
U.S. Quarterly Retail E-Commerce Sales
The SAHIE program updated its methodology to incorporate the estimates of health insurance coverage from the American Community Survey (ACS). The incorporation of the ACS into the modeling procedures has allowed for more detailed income group data as well as a higher level of precision in the estimates.
Statistics on revenue, expenditure, debt, and assets (cash and security holdings) for governments. There are statistics for the 50 state areas and the District of Columbia, as well as a national summary.
44According to the most recent statistics from the U.S. Census Bureau, the median earnings for U.S. women working full time, year-round were just 77 percent of U.S. men’s median earnings—a gap of 23 percent. Progress to close the gap has stalled during the last decade and the gap is even larger for women of color. This pay gap begins early in women’s careers. According to AAUW’s research report Graduating to a Pay Gap, women only one year out of college, working full time, were paid on average just 82 percent of what their male counterparts were paid. After controlling for hours worked, occupation, college major, employment sector, and other factors associated with pay, the gap shrinks but does not disappear. About one-third of the gap cannot be explained by these factors commonly understood to affect earnings. Fifty years after passage of the Equal Pay Act, it’s clear the pay gap is unlikely to go away on its own. That’s why the American Association of University Women and its more than 165,000 members and supporters are leading a nationwide campaign to close the pay gap and end pay discrimination. Go to FightForFairPay.org for more information. Median earnings for men in Kentucky were $42,321 compared to women’s median earnings of $32,157 — an earnings ratio of just 76 percent.
This dataset covers both Seasonally Adjusted and Not Adjusted Estimates of Monthly Sales, Inventories, and Inventories/Sales Ratios of Merchant Wholesalers, Except Manufacturers' Sales Branches and Offices.
Note: Sales and inventory estimates are in millions of dollars. Ratios are in units. Estimates are based on data from the Monthly Wholesale Trade Survey, and have been bench marked using the results of the Annual Wholesale Trade Survey.
- Starting in 2011, earnings data were created using population controls based on Census 2010 data.
- Prior to 1991, Some college/Associate degree equals 1 to 3 years of college completed; Bachelor'degree equals 4 years of college; Advanced degree equals 5 or more years of college completed.
- Starting with 2000, earnings data were calculated using population controls based on Census 2000.
- Starting with 2000, earnings data are from the expanded CPS sample.
"- Starting in 2003, respondents could choose more than one race. The race data in this table for White, Black, non-Hispanic White, and non-Hispanic Black and Asian from 2003 onward represent
those respondents who indicated only one racial identity."
- NA - Not Available
- People of Hispanic origin may be of any race.
Source: U.S. Census Bureau, Current Population Survey (noninstitutionalized population, excluding members of the Armed Forces living in barracks).
Contact: U.S. Census Bureau, Education and Social Stratification Branch, (301) 763-2464.
QSS: Estimated Measures of Sampling Variability - Coefficient of variation for total revenue, United States
The U.S. Census Bureau conducts the Quarterly Services Survey (QSS) to provide national estimates of quarterly revenue for employer firms located in the United States and classified in selected service industries. The current total sample size is approximately 19,500 employer firms.
For Indicator 25 Years and older - Completed 4 Years of High School or moreStarting in 2012, data were calculated using population controls based on Census 2010.Starting in 2003, respondents could choose more than one race. The race data in this table for White, non-Hispanic White, Black, and Asian from 2003 onward represent those respondents who indicated only one racial identity. Prior to 2003, Asians were grouped with Pacific Islanders.Starting in 2001, data were calculated using population controls based on Census 2000.Beginning with data for 1992, a new question results in different categories than for earlier years. Data shown as 'Completed 4 Years of High School or more' is now collected by the category 'High School Graduate'. Data shown as 'Completed 4 Years of College or more', is now collected by the categories, 'Bachelor's degree; 'Master's degree'; 'Doctorate degree'; and 'Professional degree'. Due to the change in question format, median years of schooling cannot be derived.
The Population Estimates Program produces monthly population estimates by age, sex, race, and Hispanic origin for the United States. These estimates cover five different populations: resident population, resident population plus Armed Forces overseas, civilian population, civilian non institutionalized population, and household population.
PERCENT OF PEOPLE 25 YEARS AND OVER WHO HAVE COMPLETED HIGH SCHOOL (INCLUDES EQUIVALENCY) - United States -- States; and Puerto Rico
Universe: Population 25 years and over
2017 American Community Survey 1-Year Estimates
Intercensal estimates are produced once a decade by adjusting the existing time series of postcensal estimates for a decade to smooth the transition from one decennial census count to the next. They differ from the postcensal estimates that are released annually because they rely on a formula that redistributes the difference between the April 1 postcensal estimate and April 1 census count for the end of the decade across the estimates for that decade. Meanwhile, the postcensal estimates incorporate current data on births, deaths, and migration to produce each new vintage of estimates, and to revise estimates for years back to the last census. Note: Intercensal Estimates (as of July 1). 1) The April 1, 2000 Population Estimates base reflects changes to the Census 2000 population from the Count Question Resolution program, legal boundary updates, and other geographic program revisions. 2)The data source for April 1, 2010 is the 2010 Census count. 3) The values for 2010 were produced by applying estimates of change in the population between April 1 and July 1 of 2010 to the 2010 Census counts. Further details on this methodology are available at http://www.census.gov/popest/methodology/intercensal_nat_meth.pdf.
An enterprise is a business organisation consisting of one or more domestic establishments that were specified under common ownership or control. The enterprise and the establishment are the same for single-establishment firms. Each multi-establishment company forms one enterprise - the enterprise employment and annual payroll are summed from the associated establishments.
The dataset is combination of two following datasets.
Under this version, both older version datasets have been merged with the latest data values and few added new indicators.
The North American Industry Classification System (NAICS) was developed by representatives from the United States, Canada, and Mexico, and replaces each country's separate classification system with one uniform system for classifying industries. In the United States, NAICS replaces the Standard Industrial Classification, a system that Federal, State, and local governments, the business community, and the general public have used since the 1930s.
The dataset is based on two classification NAICS-2007 and NAICS-2012.
Notes: - Starting in 2012, data were created using population controls based on Census 2010 data. - Starting in 2001, data were created using population controls based on Census 2000 data. - Starting in 2001, data are from the expanded CPS sample. - Beginning with data for 1992, a new question results in different categories than for earlier years. - Data shown as 'High School ,4 years' is now collected by the category 'High School Graduate'. - Data shown as 'College 1 to 3 years', is now collected by 'Some College; and two 'Associate degree' categories. Data shown as 'College 4 years or more', is now collected by the categories, 'Bachelor's degree; Master's degree'; 'Doctorate degree'; and 'Professional degree'. Due to the change in question format, median years of schooling cannot be derived. - Total includes persons who did not report on years of school completed. Source: 1947, and 1952 to 2002 March Current Population Survey, 2003 to 2012 Annual Social and Economic Supplement to the Current Population Survey (non institutionalized population, excluding members of the Armed Forces living in barracks); 1960 Census of Population, 1950 Census of Population, and 1940 Census of Population (resident population). Contact: U.S. Census Bureau, Education and Social Stratification Branch, (301) 763-2464.
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