Data Dictionary: ACS 2022 (1-Year Estimates)
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Data Source:U.S. Census Bureau
Table: B26201. Group Quarters Type (5 Types) By Sex By Age [253]
Universe: Universe: Total population
Table Details
B26201. Group Quarters Type (5 Types) By Sex By Age
Universe: Universe: Total population
VariableLabel
B26201001
B26201002
B26201003
B26201004
B26201005
B26201006
B26201007
B26201008
B26201009
B26201010
B26201011
B26201012
B26201013
B26201014
B26201015
B26201016
B26201017
B26201018
B26201019
B26201020
B26201021
B26201022
B26201023
B26201024
B26201025
B26201026
B26201027
B26201028
B26201029
B26201030
B26201031
B26201032
B26201033
B26201034
B26201035
B26201036
B26201037
B26201038
B26201039
B26201040
B26201041
B26201042
B26201043
B26201044
B26201045
B26201046
B26201047
B26201048
B26201049
B26201050
B26201051
B26201052
B26201053
B26201054
B26201055
B26201056
B26201057
B26201058
B26201059
B26201060
B26201061
B26201062
B26201063
B26201064
B26201065
B26201066
B26201067
B26201068
B26201069
B26201070
B26201071
B26201072
B26201073
B26201074
B26201075
B26201076
B26201077
B26201078
B26201079
B26201080
B26201081
B26201082
B26201083
B26201084
B26201085
B26201086
B26201087
B26201088
B26201089
B26201090
B26201091
B26201092
B26201093
B26201094
B26201095
B26201096
B26201097
B26201098
B26201099
B26201100
B26201101
B26201102
B26201103
B26201104
B26201105
B26201106
B26201107
B26201108
B26201109
B26201110
B26201111
B26201112
B26201113
B26201114
B26201115
B26201116
B26201117
B26201118
B26201119
B26201120
B26201121
B26201122
B26201123
B26201124
B26201125
B26201126
B26201127
B26201128
B26201129
B26201130
B26201131
B26201132
B26201133
B26201134
B26201135
B26201136
B26201137
B26201138
B26201139
B26201140
B26201141
B26201142
B26201143
B26201144
B26201145
B26201146
B26201147
B26201148
B26201149
B26201150
B26201151
B26201152
B26201153
B26201154
B26201155
B26201156
B26201157
B26201158
B26201159
B26201160
B26201161
B26201162
B26201163
B26201164
B26201165
B26201166
B26201167
B26201168
B26201169
B26201170
B26201171
B26201172
B26201173
B26201174
B26201175
B26201176
B26201177
B26201178
B26201179
B26201180
B26201181
B26201182
B26201183
B26201184
B26201185
B26201186
B26201187
B26201188
B26201189
B26201190
B26201191
B26201192
B26201193
B26201194
B26201195
B26201196
B26201197
B26201198
B26201199
B26201200
B26201201
B26201202
B26201203
B26201204
B26201205
B26201206
B26201207
B26201208
B26201209
B26201210
B26201211
B26201212
B26201213
B26201214
B26201215
B26201216
B26201217
B26201218
B26201219
B26201220
B26201221
B26201222
B26201223
B26201224
B26201225
B26201226
B26201227
B26201228
B26201229
B26201230
B26201231
B26201232
B26201233
B26201234
B26201235
B26201236
B26201237
B26201238
B26201239
B26201240
B26201241
B26201242
B26201243
B26201244
B26201245
B26201246
B26201247
B26201248
B26201249
B26201250
B26201251
B26201252
B26201253
Relevant Documentation:
Excerpt from: Social Explorer; U.S. Census Bureau; 2022 ACS 1-year and 2018-2022 ACS 5-year Data Releases : Technical Documentation.
 
Occupation
Occupation describes the kind of work a person does on the job. Occupation data were derived from answers to questions 45 and 46 in the 2013 American Community Survey. Question 45 asks: "What kind of work was this person doing?" Question 46 asks: "What were this person's most important activities or duties?"

These questions were asked of all people 15 years old and over who had worked in the past 5 years. For employed people, the data refer to the person's job during the previous week. For those who worked two or more jobs, the data refer to the job where the person worked the greatest number of hours. For unemployed people and people who are not currently employed but report having a job within the last five years, the data refer to their last job.

These questions describe the work activity and occupational experience of the American labor force. Data are used to formulate policy and programs for employment, career development and training; to provide information on the occupational skills of the labor force in a given area to analyze career trends; and to measure compliance with antidiscrimination policies. Companies use these data to decide where to locate new plants, stores, or offices.

Coding Procedures - Occupation statistics are compiled from data that are coded based on the Standard Occupational Classification (SOC) Manual: 2022 (http://www.bls.gov/soc), published by the Executive Office of the President, Office of Management and Budget. Census occupation codes, based on the 2022 SOC, provide 569 specific occupational categories, for employed people, including military, arranged into 23 major occupational groups, plus an additional Census code for the unemployed, with no work experience in the last 5 years or earlier or never worked for a total of 570 Census occupation codes.

Respondents provided the data for the tabulations by writing on the questionnaires descriptions of the kind of work and activities they are doing. These write-ins are converted to a code category through automated coding. Cases not autocoded on both industry and occupation are sent to the clerical staff in the National Processing Center (NPC) in Jeffersonville, Indiana, who assign codes by comparing these descriptions to entries in the Alphabetical Index of Industries and Occupations (https://www.census.gov/topics/employment/industry-occupation/guidance/indexes.html).

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 industry include janitors, security guards, and secretaries.

Editing Procedures - Following the coding operation, a computer edit and allocation process excludes all responses that should not be included in the universe, and evaluates the consistency of the remaining responses. The codes for occupation are checked for consistency with the industry and class of worker data provided for that respondent. Occasionally respondents supply occupation descriptions that are not sufficiently specific for precise classification, or they do not report on these questions at all. Certain types of incomplete entries are corrected using the Alphabetical Index of Industries and Occupations. If one or more of the three codes (occupation, industry, or class of worker) is blank after the edit, a code is assigned from a donor respondent who is a "similar" person based on questions such as age, sex, educational attainment, income, employment status, and weeks worked. If all of the labor force and income data are blank, all of these economic questions are assigned from a "similar" person who had provided all the necessary data.

Question/Concept History - OOccupation data have been collected during decennial censuses since 1850. Starting with the 2010 Census, occupation data was no longer collected during the decennial census. Long form data collection has transitioned to the ACS. The ACS began collecting data on occupation in 1996. The questions on occupation were designed to be consistent with the 1990 Census questions on occupation. ACS questions on occupation have remained consistent between 1996 and 2022.

Limitation of the Data - Beginning in 2006, the population in group quarters (GQ) was included in the ACS. Some types of GQ populations have occupational distributions that are different from the household population. The inclusion of the GQ population could therefore have a noticeable impact on the occupational distribution in some geographic areas with a substantial GQ population.

Data on occupation, industry, and class of worker are collected for the respondent's current primary job or the most recent job for those who are not employed but have worked in the last 5 years. Other labor force questions, such as questions on earnings or work hours, may have different reference periods and may not limit the response to the primary job. Although the prevalence of multiple jobs is low, data on some labor force items may not exactly correspond to the reported occupation, industry, or class of worker of a respondent.

Comparability - Comparability of occupation data was affected by a number of factors, primarily the system used to classify the questionnaire responses. Changes in the occupational classification system limit comparability of the data from one year to another. These changes are needed to recognize the "birth" of new occupations, the "death" of others, the growth and decline in existing occupations, and the desire of analysts and other users for more detail in the presentation of the data. Probably the greatest cause of noncomparability is the movement of a segment from one category to another. Changes in the nature of jobs, respondent terminology, and refinement of category composition made these movements necessary.

ACS data from 1996 to 1999 used the same occupation classification systems used for the 1990 Census; therefore, the data are comparable. Since 1990, the occupation classification has been revised to reflect changes within the Standard Occupational Classification (SOC). The SOC was updated in 2000 and these changes were reflected in the Census 2000 occupation codes. For more information on occupational comparability across classification systems, please see technical paper #65: The Relationship Between the 1990 Census and Census 2000 Industry and Occupation Classification Systems (https://www.census.gov/content/dam/Census/library/workingpapers/2003/demo/techpaper2000.pdf). The 2000-2002 ACS data used the same occupation classification systems used for Census 2000; therefore, the data are comparable. Because of the possibility of new occupations being added to the list of codes, the Census Bureau needed to have more flexibility in adding codes. Consequently, in 2002, Census occupation codes were expanded from three-digit codes to four-digit codes. For occupation, this entailed adding a "0" to the end of each occupation code. The SOC was revised once more in 2010. Based on the 2010 SOC changes, Census codes were revised resulting in a net gain of 30 Census occupation codes (from 510 occupations to 540 occupations). Most of these changes were concentrated in information technology, healthcare, printing, and human resources occupations. The SOC was revised once again in 2022. Based on the 2022 SOC changes, the Census codes were revised resulting in a net gain of 30 Census occupation codes (from 540 occupations to 570 occupations). The 2022 Census occupation codes were first applied to the 2022 ACS. The 2022 Census occupation codes changes These substantive changes across multiple occupation groups make the 2022 Census occupation codes non-comparable with previous years without the use of the occupation crosswalk and conversion rates. For information on the 2022 SOC and Census occupation codes, please see the 2022 Census Occupation Codes with Crosswalk document, which includes the summary of 2022 changes and the Census 2010 to 2022 occupation codes crosswalk on the Industry and Occupation Code Lists & Crosswalks page (https://www.census.gov/topics/employment/industryoccupation/guidance/code-lists.html).

For more information, see the Census Occupation Code List found within the 2022 ACS Code List. Go to https://data.census.gov. and enter "ACS Code Lists, Definitions, and Accuracy" in the search box.

See also, Industry and Class of Worker.
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