|Data Dictionary:||ACS 2009 (1-Year Estimates)|
|Data Source:||U.S. Census Bureau|
|C08130.||Means Of Transportation To Work 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 -> Journey to Work -> Means of Transportation to Work|
People who used different means of transportation on different days of the week were asked to specify the one they used most often, that is, the greatest number of days. People who used more than one means of transportation to get to work each day were asked to report the one used for the longest distance during the work trip. The category, "Car, truck, or van", includes workers using a car (including company cars but excluding taxicabs), a truck of one-ton capacity or less, or a van. The category, "Public transportation", includes workers who used a bus or trolley bus, streetcar or trolley car, subway or elevated, railroad, or ferryboat, even if each mode is not shown separately in the tabulation. "Carro pÃºblico" is included in the public transportation category in Puerto Rico. The category, "Other means," includes workers who used a mode of travel that is not identified separately within the data distribution. The category, "Other means," may vary from table to table, depending on the amount of detail shown in a particular distribution.
The means of transportation data for some areas may show workers using modes of public transportation that are not available in those areas (for example, subway or elevated riders in a metropolitan area where there is no subway or elevated service). This result is largely due 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 an area where subway service was available), and people who used more than one means of transportation each day but whose principal means was unavailable where they lived (for example, residents of nonmetropolitan areas who drove to the fringe of a metropolitan area, and took the commuter railroad most of the distance to work).
The responses to the place of work and journey to work questions provide basic knowledge about commuting patterns and the characteristics of commuter travel. The communting data are essential for planning highway improvement and developing public transportation sevices, as well as for designing programs to ease traffic problems during peak periods, conserve energy, reduce pollution, and estimate and project the demand for alternative-fueled vehicles. These data are required to develop standards for reducing work-related vehicle trips and increasing passenger occupancy during peak period of travel. The Bureau of Economic Analysis (BEA) plans to use county-level data in computing gross commuting flows to develop place-of-residence earning estimates from place-of-work estimates by industry. In addition, BEA also plans to use these data for state personal income estimates for determining federal fund allocations.
The data on place of work is related to a reference week, that is, the calendar week preceding the date on which the respondents completed their questionnaires or were interviewed. This week is not the same for all respondents because data were collected over a 12-month period.
The lack of a uniform reference week means that the place-of-work data reported in the survey will not exactly match the distribution of workplace locations observed or measured during an actual workweek.
The place-of-work data are estimates of people 16 years and over who were both employed and at work during the reference week (including people in the Armed Forces). People who did not work during the reference week but had jobs or businesses from which they were temporarily absent due to illness, bad weather, industrial dispute, vacation, or other personal reasons are not included in the place-of-work data. Therefore, the data on place of work understate the total number of jobs or total employment in a geographic area during the reference week. It also should be noted that people who had irregular, casual, or unstructured jobs during the reference week might have erroneously reported themselves as not working.
The address where the individual worked most often during the reference week was recorded on the questionnaire. If a worker held two jobs, only data about the primary job (the job where one worked the greatest number of hours during the preceding week) was requested. People who regularly worked in several locations during the reference week were requested to give the address at which they began work each day. For cases in which daily work was not begun 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.
|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.