Data Dictionary: ACS 2008 (3-Year Estimates)
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Data Source:U.S. Census Bureau
Table: C20005G. Sex by Work Experience in the Past 12 Months by Earnings in the Past 12 Months (In 2008 Inflation-Adjusted Dollars) for the Population 16 Years and Over (Two or More Races) [39]
Universe: Universe: Two or More races population 16 years and Over
Table Details
C20005G. Sex by Work Experience in the Past 12 Months by Earnings in the Past 12 Months (In 2008 Inflation-Adjusted Dollars) for the Population 16 Years and Over (Two or More Races)
Universe: Universe: Two or More races population 16 years and Over
VariableLabel
C20005G001
C20005G002
C20005G003
C20005G004
C20005G005
C20005G006
C20005G007
C20005G008
C20005G009
C20005G010
C20005G011
C20005G012
C20005G013
C20005G014
C20005G015
C20005G016
C20005G017
C20005G018
C20005G019
C20005G020
C20005G021
C20005G022
C20005G023
C20005G024
C20005G025
C20005G026
C20005G027
C20005G028
C20005G029
C20005G030
C20005G031
C20005G032
C20005G033
C20005G034
C20005G035
C20005G036
C20005G037
C20005G038
C20005G039
Relevant Documentation:
Excerpt from: Social Explorer; U.S. Census Bureau; American Community Survey 2006-2008 Summary File: Technical Documentation.
 
Sex
The data on sex were derived from answers to Question 3. Individuals were asked to mark either "male" or "female" to indicate their sex. For most cases in which sex was not reported, the appropriate entry was determined from the persons given (i.e., first) name and household relationship. Otherwise, sex was imputed according to the relationship to the householder and the age of the person.
Sex Ratio
The sex ratio represents the balance between the male and female populations. Ratios above 100 indicate a larger male population, and ratios below 100 indicate a larger female population. This measure is derived by dividing the total number of males by the total number of females and then multiplying by 100. It is rounded to the nearest tenth.
Limitation of the data
Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations have sex distributions that are very different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the sex distribution. This is particularly true for areas with a substantial GQ population.

The Census Bureau tested the changes introduced to the 2008 version of the sex question in the 2007 ACS Grid-Sequential Test (http://www.census.gov/acs/www/Downloads/ACS-MP-09_Grid-Sequential_Test_Final_Report.pdf).

The results of this testing show that the changes may introduce an inconsistency in the data produced for this question as observed from the years 2007 to 2008
Question/Concept History
Beginning in 2008, the layout of the sex question response categories was changed to a horizontal side-by-side layout from a vertically stacked layout on the mail paper ACS questionnaire.
Excerpt from: Social Explorer; U.S. Census Bureau; American Community Survey 2006-2008 Summary File: Technical Documentation.
 
Work Experience
The data on work experience were derived from answers to Questions 37, 38, and 39. This term relates to work status in the past 12 months, weeks worked in the past 12 months, and usual hours worked per week worked in the past 12 months.
Work Status in the Past 12 Months
The data on work status in the past 12 months were derived from answers to Question 37. People 16 years old and over who worked 1 or more weeks according to the criteria described below are classified as "Worked in the past 12 months." All other people 16 years old and over are classified as "Did not work in the past 12 months."
Weeks Worked in the Past 12 Months
The data on weeks worked in the past 12 months were derived from responses to Question 38, which was asked of people 16 years old and over who indicated that they worked during the past 12 months. The data pertain to the number of weeks during the past 12 months in which a person did any work for pay or profit (including paid vacation and paid sick leave) or worked without pay on a family farm or in a family business. Weeks of active service in the Armed Forces are also included.
Usual Hours Worked Per Week Worked in the Past 12 Months
The data on usual hours worked per week worked in the past 12 months were derived from answers to Question 39. This question was asked of people 16 years old and over who indicated that they worked during the past 12 months.

The data pertain to the number of hours a person usually worked during the weeks worked in the past 12 months. The respondent was to report the number of hours worked per week in the majority of the weeks he or she worked in the past 12 months. If the hours worked per week varied considerably during the past 12 months, the respondent was to report an approximate average of the hours worked per week.

People 16 years old and over who reported that they usually worked 35 or more hours each week during the weeks they worked are classified as "Usually worked full time;" people who reported that they usually worked 1 to 34 hours are classified as "Usually worked part time."
Aggregate Usual Hours Worked Per Week in the Past 12 Months
Aggregate usual hours worked is the sum of the values for usual hours worked each week of all the people in a particular universe. (For more information, see "Aggregate" under "Derived Measures.")
Mean Usual Hours Worked Per Week in the Past 12 Months
Mean usual hours worked is the number obtained by dividing the aggregate number of hours worked each week of a particular universe by the number of people in that universe. For example, mean usual hours worked for workers 16 to 64 years old is obtained by dividing the aggregate usual hours worked each week for workers 16 to 64 years old by the total number of workers 16 to 64 years old. Mean usual hours worked values are rounded to the nearest one-tenth of an hour. (For more information, see "Mean" under "Derived Measures.")
Full-Time, Year-Round Workers
All people 16 years old and over who usually worked 35 hours or more per week for 50 to 52 weeks in the past 12 months.

Number of Workers in Family in the Past 12 Months
The term "worker" as used for these data is defined based on the criteria for work status in the past 12 months.
Limitation of the Data
It is probable that the number of people who worked in the past 12 months and the number of weeks worked are understated since there is some tendency for respondents to forget intermittent or short periods of employment or to exclude weeks worked without pay. There may also be a tendency for people not to include weeks of paid vacation among their weeks worked; one result may be that the American Community Survey figures understate the number of people who worked "50 to 52 weeks."

The American Community Survey data refer to the 12 months preceding the date of interview. Since not all people in the American Community Survey were interviewed at the same time, the reference period for the American Community Survey data is neither fixed nor uniform.

Beginning in 2006, the population in group quarters (GQ) is included in the ACS. Some types of GQ populations may have work experience distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the work experience distribution. This is particularly true for areas with a substantial GQ population. The Census Bureau tested the changes introduced to the 2008 version of the weeks worked question in the 2006 ACS Content Test. The results of this testing show that the changes may introduce an inconsistency in the data produced for this question as observed from the years 2007 to 2008, see "2006 ACS Content Test Evaluation Report Covering Weeks Worked" (http://www.census.gov/acs/www/AdvMeth/content_test/P6b_Weeks_Worked_Final_Report.pdf).
Question/Concept History
Beginning in 2008, the weeks worked question was separated into 2 parts: part (a) asked whether the respondent worked 50 or more weeks in the past 12 months and part (b) asked respondents who answered ' no to part (a) how many weeks they worked, even for a few hours.
Excerpt from: Social Explorer; U.S. Census Bureau; American Community Survey 2006-2008 Summary File: Technical Documentation.
 
Earnings
Earnings are defined as the sum of wage or salary income and net income from self-employment. "Earnings" represent the amount of income received regularly for people 16 years old and over before deductions for personal income taxes, Social Security, bond purchases, union dues, Medicare deductions, etc. An individual with earnings is one who has either wage/salary income or self-employment income, or both. Respondents who "break even" in self-employment income and therefore have zero self-employment earnings also are considered "individuals with earnings."
Excerpt from: Social Explorer; U.S. Census Bureau; American Community Survey 2006-2008 Summary File: Technical Documentation.
 
Adjusting Income for Inflation
Income components were reported for the 12 months preceding the interview month. Monthly Consumer Price Indices (CPI) factors were used to inflation-adjust these components to a reference calendar year (January through December). For example, a household interviewed in March 2008 reports their income for March 2007 through February 2008. Their income is adjusted to the 2008 reference calendar year by multiplying their reported income by 2008 average annual CPI (January-December 2008) and then dividing by the average CPI for March 2007-February 2008.

In order to inflate income amounts from previous years, the dollar values on individual records are inflated to the latest years dollar values by multiplying by a factor equal to the average annual CPI-U-RS factor for the current year, divided by the average annual CPI-U-RS factor for the earlier/earliest year.
Excerpt from: Social Explorer; U.S. Census Bureau; American Community Survey 2006-2008 Summary File: Technical Documentation.
 
Age
The data on age were derived from answers to Question 4. The age classification is based on the age of the person in complete years at the time of interview. Both age and date of birth are used in combination to calculate the most accurate age at the time of the interview. Inconsistently reported and missing values are assigned or imputed based on the values of other variables for that person, from other people in the household, or from people in other households ("hot deck" imputation). Data on age are used to determine the applicability of other questions for a particular individual and to classify other characteristics in tabulations. Age data are needed to interpret most social and economic characteristics used to plan and analyze programs and policies. Therefore, age data are tabulated by many different age groupings, such as 5-year age groups.
Median Age
The median age is the age that divides the population into two equal-size groups. Half of the population is older than the median age and half is younger. Median age is based on a standard distribution of the population by single years of age and is shown to the nearest tenth of a year. (See the sections on "Standard Distributions" and "Medians" under "Derived Measures.")
Age Dependency Ratio
The age dependency ratio is derived by dividing the combined under-18 and 65-and-over populations by the 18-to-64 population and multiplying by 100.
Old-Age Dependency Ratio
The old-age dependency ratio is derived by dividing the population 65 years and over by the 18-to-64 population and multiplying by 100.
Child Dependency Ratio
The child dependency ratio is derived by dividing the population under 18 years by the 18-to-64 population, and multiplying by 100.
Limitation of the Data
Caution should be taken when comparing population in age groups across time. The entire population continually ages into older age groups over time and babies fill in the youngest age group. Therefore, the population of a certain age is made up of a completely different group of people in 2000 and 2008. Since populations occasionally experience booms/increases and busts/decreases in births, deaths, or migration (for example, the postwar Baby Boom from 1946-1964), one should not necessarily expect that the population in an age group in Census 2000 should be similar in size or proportion to the population in the same age group in the 2008 ACS. For example, Baby Boomers were age 36 to 54 in Census 2000 while they were age 44 to 62 in the 2008 ACS. Therefore, the age group 55 to 59 would show a considerable increase in population when comparing Census 2000 data with the 2008 ACS 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.
Question/Concept History
The 1996-2002 American Community Survey question asked for month, day, and year of birth before age. Since 2003, the American Community Survey question asked for age, followed by month, day, and year of birth. In 2008, an additional instruction was provided with the age and date of birth question on the American Community Survey questionnaire to report babies as age 0 when the child was less than 1 year old. The addition of this instruction occurred after 2005 National Census Test results indicated increased accuracy of age reporting for babies less than one year old.
Excerpt from: Social Explorer; U.S. Census Bureau; American Community Survey 2006-2008 Summary File: Technical Documentation.
 
Two or More Races
People may have chosen to provide two or more races either by checking two or more race response check boxes, by providing multiple responses, or by some combination of check boxes and write-in responses. The race response categories shown on the questionnaire are collapsed into the five minimum races identified by the OMB, and the Census Bureau's "Some other race" category. For data product purposes, "Two or More Races" refers to combinations of two or more of the following race categories:
1. White
2. Black or African American
3. American Indian and Alaska Native
4. Asian
5. Native Hawaiian and Other Pacific Islander
6. Some other race

There are 57 possible combinations (see below) involving the race categories shown above. Thus, according to this approach, a response of "White" and "Asian" was tallied as two or more races, while a response of "Japanese" and "Chinese" was not because "Japanese" and "Chinese" are both Asian responses.
Excerpt from: Social Explorer; U.S. Census Bureau; American Community Survey 2006-2008 Summary File: Technical Documentation.
 
Two or More Races (57 Possible Specified Combinations)
  1. White; Black or African American
  2. White; American Indian and Alaska Native
  3. White; Asian
  4. White; Native Hawaiian and Other Pacific Islander
  5. White; Some other race
  6. Black or African American; American Indian and Alaska Native
  7. Black or African American; Asian
  8. Black or African American; Native Hawaiian and Other Pacific Islander
  9. Black or African American; Some other race
  10. American Indian and Alaska Native; Asian
  11. American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander
  12. American Indian and Alaska Native; Some other race
  13. Asian; Native Hawaiian and Other Pacific Islander
  14. Asian; Some other race
  15. Native Hawaiian and Other Pacific Islander; Some other race
  16. White; Black or African American; American Indian and Alaska Native
  17. White; Black or African American; Asian
  18. White; Black or African American; Native Hawaiian and Other Pacific Islander
  19. White; Black or African American; Some other race
  20. White; American Indian and Alaska Native; Asian
  21. White; American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander
  22. White; American Indian and Alaska Native; Some other race
  23. White; Asian; Native Hawaiian and Other Pacific Islander
  24. White; Asian; Some other race
  25. White; Native Hawaiian and Other Pacific Islander; Some other race
  26. Black or African American; American Indian and Alaska Native; Asian
  27. Black or African American; American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander
  28. Black or African American; American Indian and Alaska Native; Some other race
  29. Black or African American; Asian; Native Hawaiian and Other Pacific Islander
  30. Black or African American; Asian; Some other race
  31. Black or African American; Native Hawaiian and Other Pacific Islander; Some other race
  32. American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific Islander
  33. American Indian and Alaska Native; Asian; Some other race
  34. American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander; Some other race
  35. Asian; Native Hawaiian and Other Pacific Islander; Some other race
  36. White; Black or African American; American Indian and Alaska Native; Asian
  37. White; Black or African American; American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander
  38. White; Black or African American; American Indian and Alaska Native; Some other race
  39. White; Black or African American; Asian; Native Hawaiian and Other Pacific Islander
  40. White; Black or African American; Asian; Some other race
  41. White; Black or African American; Native Hawaiian and Other Pacific Islander; Some other race
  42. White; American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific Islander
  43. White; American Indian and Alaska Native; Asian; Some other race
  44. White; American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander; Some other race
  45. White; Asian; Native Hawaiian and Other Pacific Islander; Some other race
  46. Black or African American; American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific Islander
  47. Black or African American; American Indian and Alaska Native; Asian; Some other race
  48. Black or African American; American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander; Some other race
  49. Black or African American; Asian; Native Hawaiian and Other Pacific Islander; Some other race
  50. American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific Islander; Some other race
  51. White; Black or African American; American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific Islander
  52. White; Black or African American; American Indian and Alaska Native; Asian; Some other race
  53. White; Black or African American; American Indian and Alaska Native; Native Hawaiian and Other Pacific Islander; Some other race
  54. White; Black or African American; Asian; Native Hawaiian and Other Pacific Islander; Some other race
  55. White; American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific Islander; Some other race
  56. Black or African American; American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific Islander; Some other race
  57. White; Black or African American; American Indian and Alaska Native; Asian; Native Hawaiian and Other Pacific Islander; Some other race
Given the many possible ways of displaying data on two or more races, data products will provide varying levels of detail. The most common presentation shows a single line indicating "Two or more races." Some data products provide totals of all 57 possible race combinations, as well as subtotals of people reporting a specific number of races, such as people reporting two races, people reporting three races, and so on. In other presentations on race, data are shown for the total number of people who reported one of the six categories alone or in combination with one or more other race categories. For example, the category, "Asian alone or in combination with one or more other races" includes people who reported Asian alone and people who reported Asian in combination with White, Black or African American, Native Hawaiian and Other Pacific Islander, and/or Some other race. This number, therefore, represents the maximum number of people who reported as Asian in the question on race. When this data presentation is used, the individual race categories will add to more than the total population because people may be included in more than one category.

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