Premium access provided by: MIT Personal account: Create | Sign in
Data Dictionary: ACS 2018 (1-Year Estimates)
you are here: choose a survey survey data set table details
Data Source:U.S. Census Bureau
Table: B27016. Health Insurance Coverage Status and Type By Ratio of Income to Poverty Level in the Past 12 Months By Age [199]
Universe: Universe: Civilian noninstitutionalized population for whom poverty status is determined
Table Details
B27016. Health Insurance Coverage Status and Type By Ratio of Income to Poverty Level in the Past 12 Months By Age
Universe: Universe: Civilian noninstitutionalized population for whom poverty status is determined
VariableLabel
B27016001
B27016002
B27016003
B27016004
B27016005
B27016006
B27016007
B27016008
B27016009
B27016010
B27016011
B27016012
B27016013
B27016014
B27016015
B27016016
B27016017
B27016018
B27016019
B27016020
B27016021
B27016022
B27016023
B27016024
B27016025
B27016026
B27016027
B27016028
B27016029
B27016030
B27016031
B27016032
B27016033
B27016034
B27016035
B27016036
B27016037
B27016038
B27016039
B27016040
B27016041
B27016042
B27016043
B27016044
B27016045
B27016046
B27016047
B27016048
B27016049
B27016050
B27016051
B27016052
B27016053
B27016054
B27016055
B27016056
B27016057
B27016058
B27016059
B27016060
B27016061
B27016062
B27016063
B27016064
B27016065
B27016066
B27016067
B27016068
B27016069
B27016070
B27016071
B27016072
B27016073
B27016074
B27016075
B27016076
B27016077
B27016078
B27016079
B27016080
B27016081
B27016082
B27016083
B27016084
B27016085
B27016086
B27016087
B27016088
B27016089
B27016090
B27016091
B27016092
B27016093
B27016094
B27016095
B27016096
B27016097
B27016098
B27016099
B27016100
B27016101
B27016102
B27016103
B27016104
B27016105
B27016106
B27016107
B27016108
B27016109
B27016110
B27016111
B27016112
B27016113
B27016114
B27016115
B27016116
B27016117
B27016118
B27016119
B27016120
B27016121
B27016122
B27016123
B27016124
B27016125
B27016126
B27016127
B27016128
B27016129
B27016130
B27016131
B27016132
B27016133
B27016134
B27016135
B27016136
B27016137
B27016138
B27016139
B27016140
B27016141
B27016142
B27016143
B27016144
B27016145
B27016146
B27016147
B27016148
B27016149
B27016150
B27016151
B27016152
B27016153
B27016154
B27016155
B27016156
B27016157
B27016158
B27016159
B27016160
B27016161
B27016162
B27016163
B27016164
B27016165
B27016166
B27016167
B27016168
B27016169
B27016170
B27016171
B27016172
B27016173
B27016174
B27016175
B27016176
B27016177
B27016178
B27016179
B27016180
B27016181
B27016182
B27016183
B27016184
B27016185
B27016186
B27016187
B27016188
B27016189
B27016190
B27016191
B27016192
B27016193
B27016194
B27016195
B27016196
B27016197
B27016198
B27016199
Relevant Documentation:
Excerpt from: Social Explorer; U.S. Census Bureau; 2018 ACS 1-year and 2014-2018 ACS 5-year Data Releases : Technical Documentation.
 
Health Insurance Coverage
In 2017, data on health insurance coverage were derived from answers to Question 16 in the American Community Survey, which was asked of all respondents. Respondents were instructed to report their current coverage and to mark "yes" or "no" for each of the eight types listed (labeled as parts 16a to 16h).

  1. Insurance through a current or former employer or union (of this person or another family member)
  2. Insurance purchased directly from an insurance company (by this person or another family member)
  3. Medicare, for people 65 and older, or people with certain disabilities
  4. Medicaid, Medical Assistance, or any kind of government-assistance plan for those with low incomes or a disability
  5. TRICARE or other military health care
  6. VA (including those who have ever used or enrolled for VA health care)
  7. Indian Health Service
  8. Any other type of health insurance or health coverage plan
Respondents who answered "yes" to question 16h were asked to provide their other type of coverage type in a write-in field.

Health insurance coverage in the ACS and other Census Bureau surveys define coverage to include plans and programs that provide comprehensive health coverage. Plans that provide insurance for specific conditions or situations such as cancer and long-term care policies are not considered coverage. Likewise, other types of insurance like dental, vision, life, and disability insurance are not considered health insurance coverage.

In defining types of coverage, write-in responses were reclassified into one of the first seven types of coverage or determined not to be a coverage type. Write-in responses that referenced the coverage of a family member were edited to assign coverage based on responses from other family members. As a result, only the first seven types of health coverage are included in the microdata file.

An eligibility edit was applied to give Medicaid, Medicare, and TRICARE coverage to individuals based on program eligibility rules. TRICARE or other military health care was given to active-duty military personnel and their spouses and children. Medicaid or other means-tested public coverage was given to foster children, certain individuals receiving Supplementary Security Income or Public Assistance, and the spouses and children of certain Medicaid beneficiaries. Medicare coverage was given to people 65 and older who received Social Security or Medicaid benefits.

People were considered insured if they reported at least one "yes" to Questions 16a to 16f. People who had no reported health coverage, or those whose only health coverage was Indian Health Service, were considered uninsured. For reporting purposes, the Census Bureau broadly classifies health insurance coverage as private health insurance or public coverage. Private health insurance is a plan provided through an employer or union, a plan purchased by an individual from a private company, or TRICARE or other military health care. Respondents reporting a "yes" to the types listed in parts a, b, or e were considered to have private health insurance. Public health coverage includes the federal programs Medicare, Medicaid, and VA Health Care (provided through the Department of Veterans Affairs); the Children's Health Insurance Program (CHIP); and individual state health plans. Respondents reporting a "yes" to the types listed in c, d, or f were considered to have public coverage. The types of health insurance are not mutually exclusive; people may be covered by more than one at the same time.

The U.S. Department of Health and Human Services, as well as other federal agencies, use data on health insurance coverage to more accurately distribute resources and better understand state and local health insurance needs.

Question/Concept History

The ACS began asking questions about health insurance coverage in 2008. Because 2008 was the first year of collection, the Census Bureau limited the number and type of data products to simple age breakdowns of overall, private, and public coverage status. The evaluation of the 2008 data suggested that the data were of good quality, so the Census Bureau expanded the data products to include estimates of the specific types of coverage along with estimates about social, economic, and demographic details for people with and without health insurance.

For the 2008 data released September 2009, there was no eligibility edit applied. The eligibility edit that was developed for the 2009 was applied to the 2008 data during spring 2010. New estimates of health insurance coverage with this data are available (http://www.census.gov/hhes/www/hlthins/hlthins.html).

Limitation of the Data

The universe for most health insurance coverage estimates is the civilian noninstitutionalized population, which excludes active-duty military personnel and the population living in correctional facilities and nursing homes. Some noninstitutionalized GQ populations have health insurance coverage distributions that are different from the household population (e.g., the prevalence of private health insurance among residents of college dormitories is higher than the household population). The proportion of the universe that is in the noninstitutionalized GQ populations could therefore have a noticeable impact on estimates of the health insurance coverage. Institutionalized GQ populations may also have health insurance coverage distributions that are different from the civilian noninstitutionalized population, the distributions in the published tables may differ slightly from how they would look if the total population were represented.

Comparability

Health insurance coverage was added to the 2008 ACS and so no equivalent measure is available from previous ACS surveys or Census 2000. Because of the addition of the eligibility edit to 2009 ACS health insurance, data users should be careful as to which 2008 ACS estimates they use to make comparisons. National, state, county and place-level 2008 1-year data incorporating the eligibility edit are available
(https://www.census.gov/topics/health/health-insurance/guidance/acs-2008-1-year-re-run.html); they are comparable to the 2009 estimates in American Fact Finder (factfinder.census.gov). Please see
"Applying and Evaluating Logical Coverage Edits to Health Insurance Coverage in the American Community Survey" for more information on the logical coverage (eligibility) edits.

Because coverage in the ACS references an individual's current status, caution should be taken when making comparisons to other surveys which may define coverage as "at any time in the last year" or "throughout the past year." A discussion of how the ACS health insurance estimates relate to other survey health insurance estimates can be found in A Preliminary Evaluation of Health Insurance Coverage in the 2008 American Community Survey (https://www.census.gov/library/working-papers/2009/acs/2009_Turner_01.html).

Excerpt from: Social Explorer; U.S. Census Bureau; 2018 ACS 1-year and 2014-2018 ACS 5-year Data Releases : Technical Documentation.
 
Work Experience
The data on work experience were derived from answers to Questions 38, 39, and 40 in the 2018 American Community Survey. 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.

To comply with provisions of the Civil Rights Act, the U.S. Department of Justice uses these data to determine the availability of individuals for work. Government agencies, in considering the programmatic and policy aspects of providing federal assistance to areas, have emphasized the requirements for reliable data to determine the employment resources available. Data about the number of weeks and hours worked last year are essential because these data allow the characterization of workers by full-time/part-time and full-year/part-year status. Data about working last year are also necessary for collecting accurate income data by defining the universe of persons who should have earnings as part of their total income.

Work Status in the Past 12 Months
The data on work status in the past 12 months were derived from answers to Question 38 in the 2018 American Community Survey. 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 39 in the 2018 American Community Survey, 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 40 in 2018 American Community Survey. 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.

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.

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" on the ACS website (http://census.gov/acs).

Comparability

For information on Work Experience data comparability, please see the comparability section for Employment Status.

©2024 Social Explorer. All rights reserved.