Universe: Workers 16 years and Over who did not work at home - C08602001 - Time Arriving At Work From Home for Workplace Geography - American Community Survey Tables: 2009 -- 2011 (3-Year Estimates) (ACS2011_3yr) - Survey ACS 2011 (3-Year Estimates)

Data Dictionary:

ACS 2011 (3-Year Estimates)

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Survey: ACS 2011 (3-Year Estimates)

Data Source:

U.S. Census Bureau

Data set: American Community Survey Tables: 2009 -- 2011 (3-Year Estimates) (ACS2011_3yr)

Table:

C08602. Time Arriving At Work From Home for Workplace Geography [11]

Universe: Universe: Workers 16 years and Over who did not work at home

Variable Details

C08602.	Time Arriving At Work From Home for Workplace Geography
	Universe: Universe: Workers 16 years and Over who did not work at home
	C08602001Universe: Workers 16 years and Over who did not work at home Percent base: None - percentages not computed (variable is table universe) Aggregation method: Addition

Relevant Documentation:

Excerpt from:	Social Explorer; U.S. Census Bureau; American Community Survey 2009-2011 Summary File: Technical Documentation.
	ACS 2011-3yr Summary File: Technical Documentation -> Appendix A. Supplemental Documentation -> Subject Definitions -> Population Variables -> Journey to Work -> Means of Transportation to Work -> Time Arriving at Work from Home

Time Arriving at Work from Home

The data on time arriving at work from home were derived from answers to Question 33 (Time Leaving Home to Go to Work) and from answers to Question 34 (Travel Time to Work). These questions were asked of people who indicated in Question 29 that they worked at some time during the reference week, and who reported in Question 31 that they worked outside their home. The arrival time is calculated by adding the travel time to work to the reported time leaving home to go to work. These data are presented with other characteristics of workers at their workplace. (See "Time Leaving Home to Go to Work" and "Travel Time 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 commuting data are essential for planning highway improvement and developing public transportation services, 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.

Excerpt from:	Social Explorer; U.S. Census Bureau; American Community Survey 2009-2011 Summary File: Technical Documentation.
	ACS 2011-3yr Summary File: Technical Documentation -> Appendix A. Supplemental Documentation -> Subject Definitions -> Population Variables -> Journey to Work -> Workplace-based Geography

Workplace-based Geography

The characteristics of workers may be shown using either residence-based or workplace-based geography. If you are interested in the number and characteristics of workers living in a specific area, you should use the standard (residence- based) journey-to-work tables. If you are interested in the number and characteristics of workers who work in a specific area, you should use the workplace-based journey-to-work tables. Because place-of-work information for workers cannot always be specified below the place level, the workplace-based tables are presented only for selected geographic areas.