|Data Dictionary:||ACS 2009 (1-Year Estimates)|
|Data Source:||U.S. Census Bureau|
|C08007.||Sex Of Workers By Place Of Work--State And County Level|
|Universe: Workers 16 years and over|
|ACS 2009-1yr Summary File: Technical Documentation -> Appendix A. Supplemental Documentation -> 2009 Subject Definitions -> Population Variables -> Sex|
Sex is asked for all persons in a household or group quarters. On the mailout/mailback paper questionnaire for households, sex is asked for all persons listed on the form. This form accommodates asking sex for up to 12 people listed as living or residing in the household for at least 2 months. If a respondent indicates that more people are listed as part of the total persons living in the household than the form can accommodate, or if any person included on the form is missing sex, then the household is eligible for Failed Edit Follow-up (FEFU). During FEFU operations, telephone center staffers call respondents to obtain missing data. This includes asking sex for any person in the household missing sex information. In Computer Assisted Telephone Interviews (CATI) and Computer Assisted Personal Interview (CAPI) instruments sex is asked for all persons. In 2006, the ACS began collecting data in group quarters (GQs). This included asking sex for persons living in a group quarters. For additional data collection methodology, please see www.census.gov/acs.
Data on sex are used to determine the applicability of other questions for a particular individual and to classify other characteristics in tabulations. The sex data collected on the forms are aggregated and provide the number of males and females in the population. These data are needed to interpret most social and economic characteristics used to plan and analyze programs and policies. Data about sex are critical because so many federal programs must differentiate between males and females. The U.S. Departments of Education and Health and Human Services are required by statute to use these data to fund, implement, and evaluate various social and welfare programs, such as the Special Supplemental Food Program for Women, Infants, and Children (WIC) or the Low-Income Home Energy Assistance Program (LIHEAP). Laws to promote equal employment opportunity for women also require census data on sex. The U.S. Department of Veterans Affairs must use census data to develop its state projections of veteran's facilities and benefits. For more information on the use of sex data in Federal programs, please see www.census.gov/acs.
It should also be noted that although 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.
|ACS 2009-1yr Summary File: Technical Documentation -> Appendix A. Supplemental Documentation -> 2009 Subject Definitions -> Population Variables -> Employment Status -> Worker|
|ACS 2009-1yr Summary File: Technical Documentation -> Appendix A. Supplemental Documentation -> 2009 Subject Definitions -> Population Variables -> Journey to Work -> Place of Work|
Data were tabulated for workers 16 years old and over, that is, members of the Armed Forces and civilians who were at work during the reference week. Data on place of work refer to the geographic location at which workers carried out their occupational activities during the reference week. In the American Community Survey, the exact address (number and street name) of the place of work was asked, as well as the place (city, town, or post office); whether the place of work was inside or outside the limits of that city or town; and the county, state or foreign country, and ZIP Code. In the Puerto Rico Community Survey, the question asked for the exact address, including the development or condominium name, as well as the place; whether or not the place of work was inside or outside the limits of that city or town; the municipio or U.S. county. Respondents also were asked to enter Puerto Rico or name of U.S. state or foreign country and the ZIP Code. If the respondent's employer operated in more than one location, the exact address of the location or branch where he or she worked was requested. When the number and street name were unknown, a description of the location, such as the building name or nearest street or intersection, was to be entered. People who worked at more than one location during the reference week were asked to report the location at which they worked the greatest number of hours. People who regularly worked in several locations each day during the reference week were requested to give the address at which they began work each day. For cases in which daily work did not begin at a central place each day, the respondent was asked to provide as much information as possible to describe the area in which he or she worked most during the reference week.
Place-of-work data may show a few workers who made unlikely daily work trips (e.g., workers who lived in New York and worked in California). This result is attributable to people who worked during the reference week at a location that was different from their usual place of work, such as people away from home on business.
In areas where the workplace address was geographically coded to the block level, people were tabulated as working inside or outside a specific place based on the location of that address regardless of the response to Question 30c concerning city/town limits. In areas where it was impossible to code the workplace address to the block level, or the coding system was unable to match the employer name and street address responses, people were tabulated as working inside or outside a specific place based on the combination of state, county, ZIP Code, place name, and city limits indicator. The city limits indicator was used only in coding decisions when there were multiple geographic codes to select from, after matching on the state, county, place, and ZIP Code responses. The accuracy of place-of-work data for census designated places (CDPs) may be affected by the extent to which their census names were familiar to respondents, and by coding problems caused by similarities between the CDP name and the names of other geographic jurisdictions in the same vicinity.
Place-of-work data are given for selected minor civil divisions (MCDs), (generally cities, towns, and townships) in the 12 strong MCD states (Connecticut, Maine, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, and Wisconsin), based on the responses to the place of work question. Many towns and townships are regarded locally as equivalent to a place, and therefore, were reported as the place of work. When a respondent reported a locality or incorporated place that formed a part of a township or town, the coding and tabulating procedure was designed to include the response in the total for the township or town.
|ACS 2009-1yr Summary File: Technical Documentation -> Chapter 1. Abstract -> 1.3. Geographic Content|
- County subdivision
- Congressional district (110th Congress)
- Public Use Microdata Area (PUMA)
- School Districts
- Alaska Native Regional Corporation
- United States
- County subdivision
- Metropolitan statistical area
- Combined statistical area
- New England City and Town Area (NECTA)
- Urban area
- Congressional district (110th Congress)
- Public Use Microdata Area (PUMA)
|ACS 2009-1yr Summary File: Technical Documentation -> Chapter 4. Summary Level Sequence Chart -> 4.1. 2009 American Community Survey Data Products: Summary Level Sequence|
|Geographic Component||Summary Level|
|00, 01, 43, A0, C0, C1, C2, E0, E1, E2, G0, H0, 89, 91-94||010 United States1|
|00, 01, 43, A0, C0, C1, C2, E0, E1, E2, G0, H0||020 Region1|
|00, 01, 43, A0, C0, C1, C2, E0, E1, E2, G0, H0||030 Division1|
|00, 01, 43, A0, C0, C1, C2, E0, E1, E2, G0, H0||040 State2|
|55-59, 60-62 00||050 State-County3|
|00||060 State-County-County Subdivision|
|00||500 State-Congressional District (111th)|
|00||795 State-Public Use Microdata Area (5%)|
|00||950 State-School District (Elementary)/Remainder4|
|00||960 State-School District (Secondary)/Remainder4|
|00||970 State-School District (Unified)/Remainder4|
|00||230 State-Alaska Native Regional Corporation|
|00||250 American Indian Area/Alaska Native Area/Hawaiian Home Land|
|00||310 Metropolitan Statistical Area/Micropolitan Statistical Area|
|00||312 Metropolitan Statistical Area/Micropolitan Statistical Area-State-Principal City|
|00||314 Metropolitan Statistical Area/Micropolitan Statistical Area-Metropolitan Division|
|00||330 Combined Statistical Area|
|00||335 Combined New England City and Town Area|
|00||350 New England City and Town Area|
|00||352 New England City and Town Area-State-Principal City|
|00||355 New England City and Town Area (NECTA)-NECTA Division|
|00||400 Urban Area|
1Land area, water area, population counts, and housing unit counts for the United States, Regions, and Divisions do not include Puerto Rico.
2State, District of Columbia, or Puerto Rico.
3Parish in Louisiana, Borough or Census Area in Alaska, and Municipio in Puerto Rico; in Maryland, Missouri, Nevada, and Virginia, one or more cities are independent of counties and are treated as statistical equivalents of counties; the entire District of Columbia, which has no counties, is treated as a county equivalent.
4Remainder of school districts are published for ACS 5-year data.