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 Series Title: Number At work part-time, usually work full-timeEconomic reasons 30-34 hours 16-19 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 8389.
 1976 07 5884.
 1976 08 9292·
 1976 09 7474.
 1976 10 1954.
 1976 11 4355.
 1976 12 6551·
 1977 01  3422·
 1977 02  7740·
 1977 03  8362.
 1977 04  9656·
 1977 05  4982·
 1977 06  987.
 1977 07  5988·
 1977 08  97102.
 1977 09  6372.
 1977 10  8872·
 1977 11  7851.
 1977 12  626.
 1978 01 4531·
 1978 02 1759·
 1978 03 7265·
 1978 04 8551·
 1978 05 8963·
 1978 06 20113·
 1978 07 97125.
 1978 08 2494.
 1978 09 1568.
 1978 10 4745.
 1978 11 3555.
 1978 12 3435·
 1979 01  6736.
 1979 02  7451.
 1979 03  9239.
 1979 04  5346.
 1979 05  1342·
 1979 06  2101.
 1979 07  188.
 1979 08  4558.
 1979 09  4840.
 1979 10  5538.
 1979 11  1860·
 1979 12  9770·
 1980 01 9253·
 1980 02 8467·
 1980 03 2440.
 1980 04 2354·
 1980 05 8763.
 1980 06 65115·
 1980 07 2699.
 1980 08 59121·
 1980 09 456·
 1980 10 9861.
 1980 11 5656·
 1980 12 7058.
 1981 01  3655.
 1981 02  849.
 1981 03  7031·
 1981 04  4250·
 1981 05  354.
 1981 06  4582·
 1981 07  5081·
 1981 08  8992.
 1981 09  4825.
 1981 10  8659.
 1981 11  356·
 1981 12  4862·
 1982 01 4247·
 1982 02 3062·
 1982 03 6158·
 1982 04 8346.
 1982 05 7753·
 1982 06 393.
 1982 07 7967.
 1982 08 8280·
 1982 09 7479.
 1982 10 5666·
 1982 11 4066.
 1982 12 5752.
 1983 01  7641·
 1983 02  6234.
 1983 03  5044·
 1983 04  4661·
 1983 05  5237·
 1983 06  2481.
 1983 07  4186·
 1983 08  1273·
 1983 09  9729·
 1983 10  6723.
 1983 11  7030·
 1983 12  4349.
 1984 01 3036.
 1984 02 4050·
 1984 03 1847·
 1984 04 5232.
 1984 05 9538.
 1984 06 1988.
 1984 07 9287.
 1984 08 7669.
 1984 09 6025.
 1984 10 543·
 1984 11 2355·
 1984 12 8046·
 1985 01  2155·
 1985 02  2248.
 1985 03  6844·
 1985 04  5041.
 1985 05  9644·
 1985 06  2373.
 1985 07  981.
 1985 08  9961·
 1985 09  2951.
 1985 10  8041·
 1985 11  5241·
 1985 12  6549·
 1986 01 9031·
 1986 02 9762.
 1986 03 2934·
 1986 04 1242.
 1986 05 7335.
 1986 06 9686·
 1986 07 9760.
 1986 08 2779·
 1986 09 9766·
 1986 10 3044.
 1986 11 3738·
 1986 12 2351·
 1987 01  537·
 1987 02  7273.
 1987 03  5748·
 1987 04  3838.
 1987 05  6854.
 1987 06  2558.
 1987 07  86101.
 1987 08  3485.
 1987 09  7941·
 1987 10  1237.
 1987 11  8346.
 1987 12  040·
 1988 01 5745.
 1988 02 8533·
 1988 03 2927·
 1988 04 4928.
 1988 05 4733·
 1988 06 1973·
 1988 07 31104·
 1988 08 1884.
 1988 09 1856.
 1988 10 1450.
 1988 11 1959·
 1988 12 7135.
 1989 01  6328.
 1989 02  9635·
 1989 03  5137.
 1989 04  9529·
 1989 05  331·
 1989 06  1571·
 1989 07  967·
 1989 08  266·
 1989 09  8032.
 1989 10  4633·
 1989 11  9962.
 1989 12  3242·
 1990 01 6546.
 1990 02 9071.
 1990 03 5259·
 1990 04 4734·
 1990 05 5124.
 1990 06 7380·
 1990 07 2685·
 1990 08 3451·
 1990 09 5834.
 1990 10 4457·
 1990 11 244·
 1990 12 846·
 1991 01  3044·
 1991 02  7936.
 1991 03  8634.
 1991 04  417·
 1991 05  3522.
 1991 06  7872·
 1991 07  1189·
 1991 08  8858.
 1991 09  6852·
 1991 10  6737.
 1991 11  3255·
 1991 12  4528.
 1992 01 4854·
 1992 02 9638·
 1992 03 3223·
 1992 04 9037.
 1992 05 2028.
 1992 06 4165·
 1992 07 1898.
 1992 08 6059·
 1992 09 5234·
 1992 10 231·
 1992 11 2045·
 1992 12 1829.
 1993 01  3839.
 1993 02  437·
 1993 03  9526·
 1993 04  5243.
 1993 05  9839.
 1993 06  9858.
 1993 07  2672.
 1993 08  7456.
 1993 09  7648·
 1993 10  5954.
 1993 11  1839.
 1993 12  2447.
 1994 01 4142.
 1994 02 8722.
 1994 03 428.
 1994 04 6320.
 1994 05 8739.
 1994 06 949.
 1994 07 4057·
 1994 08 7970·
 1994 09 3340·
 1994 10 7315.
 1994 11 811.
 1994 12 8622.
 1995 01  2416·
 1995 02  5720.
 1995 03  148·
 1995 04  2112·
 1995 05  2841·
 1995 06  5955·
 1995 07  8957·
 1995 08  4729·
 1995 09  409.
 1995 10  614.
 1995 11  9232·
 1995 12  5219·
 1996 01 7826.
 1996 02 4824.
 1996 03 221.
 1996 04 4913.
 1996 05 8823.
 1996 06 6032.
 1996 07 2846·
 1996 08 7643.
 1996 09 3726·
 1996 10 4216·
 1996 11 010·
 1996 12 9646.
 1997 01  2140.
 1997 02  2134·
 1997 03  7512.
 1997 04  9619·
 1997 05  5824·
 1997 06  4659·
 1997 07  3566·
 1997 08  9055·
 1997 09  9225.
 1997 10  9323·
 1997 11  8627·
 1997 12  1531.
 1998 01 9433·
 1998 02 628.
 1998 03 6129.
 1998 04 3423.
 1998 05 5639.
 1998 06 7938·
 1998 07 1535.
 1998 08 3643.
 1998 09 9719.
 1998 10 9319.
 1998 11 3112.
 1998 12 3328·
 1999 01  6313·
 1999 02  8143·
 1999 03  1432·
 1999 04  6233·
 1999 05  2231·
 1999 06  4364.
 1999 07  9742·
 1999 08  8753·
 1999 09  6926·
 1999 10  417·
 1999 11  3721·
 1999 12  9636·
 2000 01 2234.
 2000 02 1435·
 2000 03 1413.
 2000 04 243.
 2000 05 2553·
 2000 06 5046·
 2000 07 3662·
 2000 08 4238.
 2000 09 4929·
 2000 10 1044·
 2000 11 3436.
 2000 12 8023.
 2001 01  8633.
 2001 02  2216.
 2001 03  658·
 2001 04  317.
 2001 05  5628·
 2001 06  3453·
 2001 07  1148.
 2001 08  2431.
 2001 09  330.
 2001 10  2323.
 2001 11  7830·


 2001 12  8152.
 2002 01 9748.
 2002 02 899.
 2002 03 9738.
 2002 04 3734.
 2002 05 3148.
 2002 06 5853.
 2002 07 2657·
 2002 08 8045.
 2002 09 2521·
 2002 10 7812.
 2002 11 4612.
 2002 12 2324·
 2003 01  2333.
 2003 02  2723.

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 full-timeEconomic reasons 30-34 hours 16-19 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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