|Data Dictionary:||ACS 2006 (1-Year Estimates)|
|Data Source:||U.S. Census Bureau|
Universe: Universe: Civilian employed population 16 years and over
|C24050.||Industry By Occupation For The Civilian Employed Population 16 Years And Over|
|Universe: Universe: Civilian employed population 16 years and over|
C24050012 Arts, entertainment, and recreation, and accommodation and food services
|ACS 2006-1yr Summary File: Technical Documentation -> Appendix B. Subject Definitions -> Population Variables -> Industry, Occupation, and Class of Worker -> Industry|
The data on industry were derived from answers to Questions 36 through 38. Written responses to the industry questions are coded using the industry classification system developed for Census 2000 and modified in 2002 and again in 2006. This system consists of 269 categories for employed people, including military, classified into 20 sectors. The modified 2006 census industry classification was developed from the 2006 North American Industry Classification System (NAICS) published by the Executive Office of the President, Office of Management and Budget. The NAICS was developed to increase comparability in industry definitions between the United States, Mexico, and Canada. It provides industry classifications that group establishments into industries based on the activities in which they are primarily engaged. The NAICS was created for establishment designations and provides detail about the smallest operating establishment, while the American Community Survey data are collected from households and differ in detail and nature from those obtained from establishment surveys. Because of potential disclosure issues, the census industry classification system, while defined in NAICS terms, cannot reflect the full detail for all categories. The industry category, "Public administration," is limited to regular government functions such as legislative, judicial, administrative, and regulatory activities. Other government organizations such as public schools, public hospitals, and bus lines are classified by industry according to the activity in which they are engaged.
|ACS 2006-1yr Summary File: Technical Documentation -> Appendix B. Subject Definitions -> Population Variables -> Industry, Occupation, and Class of Worker -> Occupation|
The data on occupation were derived from answers to Questions 39 and 40. Written responses to the occupation questions are coded using the occupational classification system developed for the 2000 census and modified in 2002. This system consists of 509 specific occupational categories, for employed people, including military, arranged into 23 major occupational groups. This classification was developed based on the Standard Occupational Classification (SOC) Manual: 2000 , published by the Executive Office of the President, Office of Management and Budget. Some occupation groups are related closely to certain industries. Operators of transportation equipment, farm operators and workers, and healthcare providers account for major portions of their respective industries of transportation, agriculture, and health care. However, the industry categories include people in other occupations. For example, people employed in agriculture include truck drivers and bookkeepers; people employed in the transportation industry include mechanics, freight handlers, and payroll clerks; and people employed in the health care profession include janitors, security guards, and secretaries.
|ACS 2006-1yr Summary File: Technical Documentation -> Appendix B. Subject Definitions -> Population Variables -> Employment Status -> Civilian Employed|
|ACS 2006-1yr Summary File: Technical Documentation -> Appendix B. Subject Definitions -> Population Variables -> Age|
Age Dependency Ratio
Old-Age Dependency Ratio
Child Dependency Ratio
Limitation of the Data
Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations have age distributions that are very different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the age distribution. This is particularly true for areas with a substantial GQ population.