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 Series Title: Number At work part-time, usually work part-timeEconomic reasons 30-34 hours 16-17 yrs.: NSA (Thousands)
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 1976 06 649.
 1976 07 76138.
 1976 08 80109.
 1976 09 327·
 1976 10 5316.
 1976 11 3911.
 1976 12 7420.
 1977 01  18.
 1977 02  419.
 1977 03  755.
 1977 04  4412.
 1977 05  7213.
 1977 06  2165·
 1977 07  67154·
 1977 08  3134.
 1977 09  6014.
 1977 10  6714·
 1977 11  2112.
 1977 12  8814.
 1978 01 3611.
 1978 02 8214.
 1978 03 6714.
 1978 04 639.
 1978 05 9311·
 1978 06 8978·
 1978 07 64139.
 1978 08 15130.
 1978 09 5019.
 1978 10 4021·
 1978 11 9312.
 1978 12 589.
 1979 01  525.
 1979 02  93.
 1979 03  5910·
 1979 04  2913.
 1979 05  6711.
 1979 06  9764.
 1979 07  96120·
 1979 08  91113.
 1979 09  8929·
 1979 10  3019.
 1979 11  5922·
 1979 12  3211·
 1980 01 3910.
 1980 02 589·
 1980 03 3110·
 1980 04 6516·
 1980 05 5927.
 1980 06 5673.
 1980 07 17146.
 1980 08 2898·
 1980 09 2031·
 1980 10 2429·
 1980 11 5020·
 1980 12 8416·
 1981 01  1411·
 1981 02  8915·
 1981 03  8614.
 1981 04  2013·
 1981 05  625·
 1981 06  075·
 1981 07  7168.
 1981 08  49117.
 1981 09  816·
 1981 10  3314·
 1981 11  207.
 1981 12  1011·
 1982 01 206.
 1982 02 887.
 1982 03 558.
 1982 04 6616.
 1982 05 9320.
 1982 06 9058.
 1982 07 70150.
 1982 08 3124.
 1982 09 467.
 1982 10 9117.
 1982 11 4718·
 1982 12 3620·
 1983 01  2214.
 1983 02  65
 1983 03  9112.
 1983 04  16.
 1983 05  9210·
 1983 06  1398.
 1983 07  35153.
 1983 08  62104·
 1983 10  5011·
 1983 11  5912·
 1983 12  36
 1984 01 75.
 1984 03 142.
 1984 04 561.
 1984 05 7414.
 1984 06 4986.
 1984 07 28179.
 1984 08 77120.
 1984 09 5725·
 1984 10 2516.
 1984 11 629·
 1984 12 247.
 1985 01  163·
 1985 02  997·
 1985 03  1112.
 1985 04  2114·
 1985 05  821.
 1985 06  5876·
 1985 07  92163.
 1985 08  20146.
 1985 09  1522.
 1985 10  155.
 1985 11  50
 1985 12  958.
 1986 01 426·
 1986 02 88·
 1986 03 5510.
 1986 04 479·
 1986 05 229.
 1986 06 059.
 1986 07 0145.
 1986 08 1100.
 1986 09 127.
 1986 10 7818·
 1986 11 512·
 1986 12 75·
 1987 01  9310·
 1987 02  576.
 1987 03  1318.
 1987 04  427.
 1987 05  717·
 1987 06  7381·
 1987 07  94147.
 1987 08  6119·
 1987 09  7911·
 1987 10  9015·
 1987 11  436.
 1987 12  2318.
 1988 01 734·
 1988 02 955·
 1988 03 7713.
 1988 04 449.
 1988 05 3411·
 1988 06 295.
 1988 07 42148.
 1988 08 45107.
 1988 09 7014·
 1988 10 4713·
 1988 11 612·
 1988 12 266.
 1989 01  119·
 1989 02  956.
 1989 03  649·
 1989 04  1320·
 1989 05  1514·
 1989 06  3376·
 1989 07  35103.
 1989 08  55103.
 1989 09  6415.
 1989 10  7312.
 1989 11  6214·
 1989 12  2812.
 1990 01 639.
 1990 02 555·
 1990 03 169·
 1990 04 338.
 1990 05 4412·
 1990 06 3950.
 1990 07 89115·
 1990 08 9549.
 1990 09 656·
 1990 10 1611·
 1990 11 212.
 1990 12 6410·
 1991 01  68·
 1991 02  97
 1991 03  991.
 1991 04  1613·
 1991 05  752.
 1991 06  2055.
 1991 07  4895·
 1991 08  5165.
 1991 09  27.
 1991 10  499·
 1991 11  432·
 1991 12  958.
 1992 01 465.
 1992 02 709·
 1992 03 54·
 1992 04 986.
 1992 05 865·
 1992 06 9840.
 1992 07 7674.
 1992 08 3573·
 1992 09 3119.
 1992 10 6910·
 1992 11 2712.
 1992 12 66·
 1993 01  116·
 1993 02  4716.
 1993 03  516·
 1993 04  385.
 1993 05  8310·
 1993 06  2057.
 1993 07  67110.
 1993 08  8080·
 1993 09  3016.
 1993 10  05·
 1993 11  202.
 1993 12  810·
 1994 01 565.
 1994 02 2614·
 1994 03 786.
 1994 04 223.
 1994 05 9511.
 1994 06 6050·
 1994 07 3761·
 1994 08 4826·
 1994 09 35.
 1994 12 914.
 1995 01  147.
 1995 02  365.
 1995 03  612.
 1995 04  304.
 1995 05  549.
 1995 06  6254.
 1995 07  7661·
 1995 08  1731.
 1995 09  279·
 1995 10  25
 1995 11  8011·
 1995 12  1311·
 1996 01 267·
 1996 02 5210·
 1996 03 293·
 1996 04 73.
 1996 05 711.
 1996 06 9237·
 1996 07 572.
 1996 08 1224.
 1996 09 53.
 1996 10 211.
 1996 11 1513.
 1996 12 656.
 1997 01  985.
 1997 02  3910.
 1997 03  905·
 1997 04  3012.
 1997 05  4413·
 1997 06  7238.
 1997 07  8772·
 1997 08  9421·
 1997 09  6314·
 1997 10  7115.
 1997 11  879.
 1997 12  7111·
 1998 01 977.
 1998 02 1013.
 1998 03 989.
 1998 04 974·
 1998 05 173.
 1998 06 9015·
 1998 07 5152·
 1998 08 3717.
 1998 10 166.
 1998 11 365.
 1998 12 27·
 1999 01  781.
 1999 02  148·
 1999 03  994·
 1999 04  337·
 1999 05  325·
 1999 06  5529·
 1999 07  5429·
 1999 08  5018.
 1999 09  386.
 1999 10  89.
 1999 11  210·
 1999 12  873.
 2000 01 588.
 2000 02 6710.
 2000 03 676.
 2000 05 9811·
 2000 06 8134.
 2000 07 5128·
 2000 08 115·
 2000 09 668.
 2000 10 209·
 2000 11 46·
 2000 12 788.
 2001 01  975.
 2001 02  123.
 2001 03  968·
 2001 04  07·
 2001 05  2310.
 2001 06  1949·
 2001 07  2141.
 2001 08  9110·
 2001 09  16.
 2001 10  3118·
 2001 11  9713·


 2001 12  26.
 2002 01 126·
 2002 02 602.
 2002 03 698·
 2002 04 85·
 2002 05 6325.
 2002 06 4427.
 2002 07 728·
 2002 08 105·
 2002 09 852.
 2002 10 453·
 2002 11 3
 2002 12 329·
 2003 01  365·
 2003 02  5211·

Similar Series

Skip to Data / More Chart Options

US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

Input your search text below.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Number At work part-time, usually work part-timeEconomic reasons 30-34 hours 16-17 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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