Data Dictionary: ACS 2017 (5-Year Estimates)
you are here: choose a survey survey data set table details
Data Source:U.S. Census Bureau
Table: B16005G. Nativity by Language Spoken At Home by Ability to Speak English for the Population 5 Years and Over (Two or More Races) [11]
Universe: Universe: Two or more races population 5 years and over
Table Details
B16005G. Nativity by Language Spoken At Home by Ability to Speak English for the Population 5 Years and Over (Two or More Races)
Universe: Universe: Two or more races population 5 years and over
Relevant Documentation:
Native
The native population includes anyone who was a U.S. citizen or a U.S. national at birth. This includes respondents who indicated they were born in the United States, Puerto Rico, a U.S. Island Area (such as Guam), or abroad of American (U.S. citizen) parent or parents.

Language Spoken at Home by the Respondent
Data on language spoken at home were derived from answers to questions 14a and 14b in the 2013 American Community Survey. These questions were asked only of persons 5 years of age and older. Instructions mailed with the American Community Survey questionnaire instructed respondents to mark "Yes" on Question 14a if they sometimes or always spoke a language other than English at home, and "No" if a language was spoken only at school - or if speaking was limited to a few expressions or slang. For Question 14b, respondents printed the name of the non-English language they spoke at home. If the person spoke more than one non-English language, they reported the language spoken most often. If the language spoken most frequently could not be determined, the respondent reported the language learned first.

Questions 14a and 14b referred to languages spoken at home in an effort to measure the current use of languages other than English. This category excluded respondents who spoke a language other than English exclusively outside of the home.

An automated computer system coded write-in responses to Question 14b into more than 380 detailed language categories. This automated procedure compared write-in responses with a master computer code list - which contained approximately 55,000 previously coded language names and variants - and then assigned a detailed language category to each write- in response. The computerized matching assured that identical alphabetic entries received the same code. Clerical coding categorized any write-in responses that did not match the computer dictionary. When multiple languages other than English were specified, only the first was coded.
The write-in responses represented the names people used for languages they spoke. They may not have matched the names or categories used by professional linguists. The categories used were sometimes geographic and sometimes linguistic. The Four Main Group Classifications and Thirty-Nine Subgroup Classifications of Languages Spoken at Home with Illustrative Examples table in Appendix A provides an illustration of the content of the classification schemes used to present language data.

Two or More Races
People may choose 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 other responses. The race response categories shown on the questionnaire are collapsed into the five minimum race groups identified by 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 or Alaska Native
  4. Asian
  5. Native Hawaiian or Other Pacific Islander
  6. Some Other Race

There are 57 possible combinations (see "Race Combinations" in Appendix A) 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.

©2024 Social Explorer. All rights reserved.