Premium access provided by: MIT Personal account: Create | Sign in
Data Dictionary: ACS 2009 (1-Year Estimates)
you are here: choose a survey survey data set table details
Data Source:U.S. Census Bureau
Table: B24123. Detailed Occupation by Median Earnings in the Past 12 Months (In 2009 Inflation-Adjusted Dollars) for the Full-Time, Year-Round Civilian Employed Female Population 16 Years and Over [499]
Universe: Full-time, year-round civilian employed female population 16 years and Over with earnings
Table Details
B24123. Detailed Occupation by Median Earnings in the Past 12 Months (In 2009 Inflation-Adjusted Dollars) for the Full-Time, Year-Round Civilian Employed Female Population 16 Years and Over
Universe: Full-time, year-round civilian employed female population 16 years and Over with earnings
VariableLabel
B24123001
B24123002
B24123003
B24123004
B24123005
B24123006
B24123007
B24123008
B24123009
B24123010
B24123011
B24123012
B24123013
B24123014
B24123015
B24123016
B24123017
B24123018
B24123019
B24123020
B24123021
B24123022
B24123023
B24123024
B24123025
B24123026
B24123027
B24123028
B24123029
B24123030
B24123031
B24123032
B24123033
B24123034
B24123035
B24123036
B24123037
B24123038
B24123039
B24123040
B24123041
B24123042
B24123043
B24123044
B24123045
B24123046
B24123047
B24123048
B24123049
B24123050
B24123051
B24123052
B24123053
B24123054
B24123055
B24123056
B24123057
B24123058
B24123059
B24123060
B24123061
B24123062
B24123063
B24123064
B24123065
B24123066
B24123067
B24123068
B24123069
B24123070
B24123071
B24123072
B24123073
B24123074
B24123075
B24123076
B24123077
B24123078
B24123079
B24123080
B24123081
B24123082
B24123083
B24123084
B24123085
B24123086
B24123087
B24123088
B24123089
B24123090
B24123091
B24123092
B24123093
B24123094
B24123095
B24123096
B24123097
B24123098
B24123099
B24123100
B24123101
B24123102
B24123103
B24123104
B24123105
B24123106
B24123107
B24123108
B24123109
B24123110
B24123111
B24123112
B24123113
B24123114
B24123115
B24123116
B24123117
B24123118
B24123119
B24123120
B24123121
B24123122
B24123123
B24123124
B24123125
B24123126
B24123127
B24123128
B24123129
B24123130
B24123131
B24123132
B24123133
B24123134
B24123135
B24123136
B24123137
B24123138
B24123139
B24123140
B24123141
B24123142
B24123143
B24123144
B24123145
B24123146
B24123147
B24123148
B24123149
B24123150
B24123151
B24123152
B24123153
B24123154
B24123155
B24123156
B24123157
B24123158
B24123159
B24123160
B24123161
B24123162
B24123163
B24123164
B24123165
B24123166
B24123167
B24123168
B24123169
B24123170
B24123171
B24123172
B24123173
B24123174
B24123175
B24123176
B24123177
B24123178
B24123179
B24123180
B24123181
B24123182
B24123183
B24123184
B24123185
B24123186
B24123187
B24123188
B24123189
B24123190
B24123191
B24123192
B24123193
B24123194
B24123195
B24123196
B24123197
B24123198
B24123199
B24123200
B24123201
B24123202
B24123203
B24123204
B24123205
B24123206
B24123207
B24123208
B24123209
B24123210
B24123211
B24123212
B24123213
B24123214
B24123215
B24123216
B24123217
B24123218
B24123219
B24123220
B24123221
B24123222
B24123223
B24123224
B24123225
B24123226
B24123227
B24123228
B24123229
B24123230
B24123231
B24123232
B24123233
B24123234
B24123235
B24123236
B24123237
B24123238
B24123239
B24123240
B24123241
B24123242
B24123243
B24123244
B24123245
B24123246
B24123247
B24123248
B24123249
B24123250
B24123251
B24123252
B24123253
B24123254
B24123255
B24123256
B24123257
B24123258
B24123259
B24123260
B24123261
B24123262
B24123263
B24123264
B24123265
B24123266
B24123267
B24123268
B24123269
B24123270
B24123271
B24123272
B24123273
B24123274
B24123275
B24123276
B24123277
B24123278
B24123279
B24123280
B24123281
B24123282
B24123283
B24123284
B24123285
B24123286
B24123287
B24123288
B24123289
B24123290
B24123291
B24123292
B24123293
B24123294
B24123295
B24123296
B24123297
B24123298
B24123299
B24123300
B24123301
B24123302
B24123303
B24123304
B24123305
B24123306
B24123307
B24123308
B24123309
B24123310
B24123311
B24123312
B24123313
B24123314
B24123315
B24123316
B24123317
B24123318
B24123319
B24123320
B24123321
B24123322
B24123323
B24123324
B24123325
B24123326
B24123327
B24123328
B24123329
B24123330
B24123331
B24123332
B24123333
B24123334
B24123335
B24123336
B24123337
B24123338
B24123339
B24123340
B24123341
B24123342
B24123343
B24123344
B24123345
B24123346
B24123347
B24123348
B24123349
B24123350
B24123351
B24123352
B24123353
B24123354
B24123355
B24123356
B24123357
B24123358
B24123359
B24123360
B24123361
B24123362
B24123363
B24123364
B24123365
B24123366
B24123367
B24123368
B24123369
B24123370
B24123371
B24123372
B24123373
B24123374
B24123375
B24123376
B24123377
B24123378
B24123379
B24123380
B24123381
B24123382
B24123383
B24123384
B24123385
B24123386
B24123387
B24123388
B24123389
B24123390
B24123391
B24123392
B24123393
B24123394
B24123395
B24123396
B24123397
B24123398
B24123399
B24123400
B24123401
B24123402
B24123403
B24123404
B24123405
B24123406
B24123407
B24123408
B24123409
B24123410
B24123411
B24123412
B24123413
B24123414
B24123415
B24123416
B24123417
B24123418
B24123419
B24123420
B24123421
B24123422
B24123423
B24123424
B24123425
B24123426
B24123427
B24123428
B24123429
B24123430
B24123431
B24123432
B24123433
B24123434
B24123435
B24123436
B24123437
B24123438
B24123439
B24123440
B24123441
B24123442
B24123443
B24123444
B24123445
B24123446
B24123447
B24123448
B24123449
B24123450
B24123451
B24123452
B24123453
B24123454
B24123455
B24123456
B24123457
B24123458
B24123459
B24123460
B24123461
B24123462
B24123463
B24123464
B24123465
B24123466
B24123467
B24123468
B24123469
B24123470
B24123471
B24123472
B24123473
B24123474
B24123475
B24123476
B24123477
B24123478
B24123479
B24123480
B24123481
B24123482
B24123483
B24123484
B24123485
B24123486
B24123487
B24123488
B24123489
B24123490
B24123491
B24123492
B24123493
B24123494
B24123495
B24123496
B24123497
B24123498
B24123499
Relevant Documentation:
Excerpt from: Social Explorer; U.S. Census Bureau; American Community Survey 2009 Summary File: 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. 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 detailed classification systems developed for Census 2000 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. Respondents provided the data for the tabulations by writing on the questionnaires descriptions of the kind of work and activities they are doing. Clerical staff in the National Processing Center in Jeffersonville, Indiana converted the written questionnaire descriptions to codes by comparing these descriptions to entries in the Alphabetical Index of Industries and Occupations. 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.

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
Occupation data have been collected during decennial censuses since 1850. Starting with the 2010 Census, occupation data will no longer be collected during the decennial census. Long form data collection has transitioned to the American Community Survey. The American Community Survey began collecting data on occupation in 1996. The questions on occupation were designed to be consistent with the 1990 Census questions on occupation. American Community Survey questions on occupation have remained consistent between 1996 and 2009.

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 respondents 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). These changes were reflected in the Census 2000 occupation codes. 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. Data are otherwise comparable. 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. See the 2009 Code List for Occupation Code List. See also, Industry and Class of Worker.

Median Earnings
The median divides the earnings distribution into two equal parts: one-half of the cases falling below the median and one-half above the median. Median earnings is restricted to individuals 16 years old and over with earnings and is computed on the basis of a standard distribution. (See the "Standard Distributions" section under "Derived Measures".) Median earnings figures are calculated using linear interpolation. (For more information on medians and interpolation, see "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.

Excerpt from: Social Explorer; U.S. Census Bureau; American Community Survey 2009 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 biological sex. For most cases in which sex was invalid, the appropriate entry was determined from other information provided for that person, such as the person's given (i.e., first) name and household relationship. Otherwise, sex was allocated from a hot deck.

Sex is asked for all persons in a household or group quarters. On the mailout/mailback paper questionnaire for households, sex is asked for all persons listed on the form. This form accommodates asking sex for up to 12 people listed as living or residing in the household for at least 2 months. If a respondent indicates that more people are listed as part of the total persons living in the household than the form can accommodate, or if any person included on the form is missing sex, then the household is eligible for Failed Edit Follow-up (FEFU). During FEFU operations, telephone center staffers call respondents to obtain missing data. This includes asking sex for any person in the household missing sex information. In Computer Assisted Telephone Interviews (CATI) and Computer Assisted Personal Interview (CAPI) instruments sex is asked for all persons. In 2006, the ACS began collecting data in group quarters (GQs). This included asking sex for persons living in a group quarters. For additional data collection methodology, please see www.census.gov/acs.

Data on sex are used to determine the applicability of other questions for a particular individual and to classify other characteristics in tabulations. The sex data collected on the forms are aggregated and provide the number of males and females in the population. These data are needed to interpret most social and economic characteristics used to plan and analyze programs and policies. Data about sex are critical because so many federal programs must differentiate between males and females. The U.S. Departments of Education and Health and Human Services are required by statute to use these data to fund, implement, and evaluate various social and welfare programs, such as the Special Supplemental Food Program for Women, Infants, and Children (WIC) or the Low-Income Home Energy Assistance Program (LIHEAP). Laws to promote equal employment opportunity for women also require census data on sex. The U.S. Department of Veterans Affairs must use census data to develop its state projections of veteran's facilities and benefits. For more information on the use of sex data in Federal programs, please see www.census.gov/acs.

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.

Question/Concept History
Sex has been asked of all persons living in a household since the 1996 ACS Test phase. When group quarters were included in the survey universe in 2006, sex was asked of all person in group quarters as well. 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.

Limitation of the data
Beginning in 2006, the population in group quarters (GQ) was 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 a given geographic area. 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 (www.census.gov/acs). 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.

Comparability
Sex is generally comparable across different data sources and data years. However, data users should still be aware of methodological differences that may exist between different data sources if they are comparing American Community Survey sex data to other data sources, such as Population Estimates or Decennial Census data. For example, the American Community Survey data are that of a respondent-based survey and subject to various quality measures, such as sampling and nonsampling error, response rates and item allocation. This differs in design and methodology from other data sources, such as Population Estimates, which is not a survey and involves computational methodology to derive intercensal estimates of the population. While ACS estimates are controlled to Population Estimates for sex at the nation, state and county levels of geography as part of the ACS weighting procedure, variation may exist in the sex structure of a population at lower levels of geography when comparing different time periods or comparing across time due to the absence of controls below the county geography level. For more information on American Community Survey data accuracy and weighting procedures, please see www.census.gov/acs.

It should also be noted that although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities and towns and estimates of housing units for states and counties.

Excerpt from: Social Explorer; U.S. Census Bureau; American Community Survey 2009 Summary File: Technical Documentation.
 
Employed
This category includes all civilians 16 years old and over who either (1) were "at work," that is, those who did any work at all during the reference week as paid employees, worked in their own business or profession, worked on their own farm, or worked 15 hours or more as unpaid workers on a family farm or in a family business; or (2) were "with a job but not at work", that is, those who did not work during the reference week but had jobs or businesses from which they were temporarily absent due to illness, bad weather, industrial dispute, vacation, or other personal reasons. Excluded from the employed are people whose only activity consisted of work around the house or unpaid volunteer work for religious, charitable, and similar organizations; also excluded are all institutionalized people and people on active duty in the United States Armed Forces.

©2024 Social Explorer. All rights reserved.