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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 8289·
 1976 07 8584.
 1976 08 7192·
 1976 09 9974.
 1976 10 5254.
 1976 11 1555·
 1976 12 7551·
 1977 01  5022·
 1977 02  3840·
 1977 03  9362·
 1977 04  3056.
 1977 05  5182·
 1977 06  9087.
 1977 07  188·
 1977 08  50102·
 1977 09  4472.
 1977 10  8572.
 1977 11  4751.
 1977 12  7026·
 1978 01 9931·
 1978 02 2359.
 1978 03 6065·
 1978 04 5651.
 1978 05 1063.
 1978 06 28113.
 1978 07 99125·
 1978 08 9494·
 1978 09 9668.
 1978 10 5245.
 1978 11 4455.
 1978 12 9735.
 1979 01  236·
 1979 02  6951.
 1979 03  339.
 1979 04  446·
 1979 05  9742·
 1979 06  81101.
 1979 07  688·
 1979 08  7658.
 1979 09  7340.
 1979 10  1138.
 1979 11  1160·
 1979 12  370·
 1980 01 5253·
 1980 02 1267.
 1980 03 040·
 1980 04 9654.
 1980 05 7763·
 1980 06 58115.
 1980 07 7899.
 1980 08 95121.
 1980 09 1756·
 1980 10 5061·
 1980 11 7856·
 1980 12 6158.
 1981 01  6655·
 1981 02  1249·
 1981 03  5531·
 1981 04  8350.
 1981 05  4354.
 1981 06  9682·
 1981 07  9381.
 1981 08  7392.
 1981 09  9325·
 1981 10  7759·
 1981 11  9756·
 1981 12  7062·
 1982 01 8447.
 1982 02 5562·
 1982 03 058·
 1982 04 3546·
 1982 05 1153.
 1982 06 5693·
 1982 07 5667.
 1982 08 5880.
 1982 09 9379.
 1982 10 3066.
 1982 11 5066.
 1982 12 5152·
 1983 01  7441·
 1983 02  5234·
 1983 03  8644·
 1983 04  5261.
 1983 05  2437·
 1983 06  2281·
 1983 07  9786.
 1983 08  2473.
 1983 09  3529·
 1983 10  6723·
 1983 11  3930.
 1983 12  5549·
 1984 01 2936.
 1984 02 3750·
 1984 03 9447.
 1984 04 5732·
 1984 05 4738.
 1984 06 688·
 1984 07 6987·
 1984 08 6969·
 1984 09 6125·
 1984 10 7643.
 1984 11 9555·
 1984 12 5346.
 1985 01  6355.
 1985 02  7148·
 1985 03  2944·
 1985 04  9741.
 1985 05  7444.
 1985 06  4373·
 1985 07  5281·
 1985 08  1561.
 1985 09  3651·
 1985 10  6641·
 1985 11  7141·
 1985 12  4349·
 1986 01 2031.
 1986 02 4162.
 1986 03 1834·
 1986 04 4642.
 1986 05 2035·
 1986 06 9386·
 1986 07 5060.
 1986 08 1079·
 1986 09 5466·
 1986 10 7344.
 1986 11 4738·
 1986 12 4951.
 1987 01  6737.
 1987 02  5673.
 1987 03  1848.
 1987 04  138.
 1987 05  2754.
 1987 06  4258·
 1987 07  92101·
 1987 08  2885·
 1987 09  3041·
 1987 10  5737.
 1987 11  2846.
 1987 12  1940·
 1988 01 9445·
 1988 02 5133·
 1988 03 627·
 1988 04 8628·
 1988 05 6333.
 1988 06 173.
 1988 07 33104·
 1988 08 6784·
 1988 09 656.
 1988 10 550.
 1988 11 4259.
 1988 12 2635.
 1989 01  1928.
 1989 02  8935·
 1989 03  8737·
 1989 04  4929·
 1989 05  1931·
 1989 06  471.
 1989 07  5267.
 1989 08  5066.
 1989 09  5032·
 1989 10  2633·
 1989 11  4362·
 1989 12  6742·
 1990 01 8346.
 1990 02 5471.
 1990 03 9259·
 1990 04 6234.
 1990 05 1124·
 1990 06 1480.
 1990 07 5485·
 1990 08 2451.
 1990 09 5334·
 1990 10 5657.
 1990 11 1244·
 1990 12 6646.
 1991 01  5444·
 1991 02  5636.
 1991 03  7234.
 1991 04  2517·
 1991 05  8222.
 1991 06  1472·
 1991 07  6789·
 1991 08  6458.
 1991 09  3252·
 1991 10  5637·
 1991 11  5255.
 1991 12  7128.
 1992 01 2354.
 1992 02 3238.
 1992 03 923.
 1992 04 5937·
 1992 05 9828.
 1992 06 1765.
 1992 07 4698·
 1992 08 6659.
 1992 09 2834·
 1992 10 1131.
 1992 11 9345.
 1992 12 5429·
 1993 01  639·
 1993 02  4137.
 1993 03  726·
 1993 04  1343.
 1993 05  5239.
 1993 06  5658·
 1993 07  7072·
 1993 08  5456.
 1993 09  948·
 1993 10  3254.
 1993 11  8939.
 1993 12  1547·
 1994 01 4742.
 1994 02 7022·
 1994 03 9428.
 1994 04 6020·
 1994 05 6039·
 1994 06 9449.
 1994 07 4457·
 1994 08 7670·
 1994 09 6640.
 1994 10 5515·
 1994 11 1811.
 1994 12 7622.
 1995 01  1116·
 1995 02  2820·
 1995 03  258.
 1995 04  9812·
 1995 05  6341·
 1995 06  1455·
 1995 07  9657·
 1995 08  529.
 1995 09  169.
 1995 10  3914.
 1995 11  8732.
 1995 12  8419.
 1996 01 9026.
 1996 02 5224·
 1996 03 8021·
 1996 04 5013·
 1996 05 2923·
 1996 06 2932·
 1996 07 8246·
 1996 08 3943.
 1996 09 126.
 1996 10 7116.
 1996 11 2310.
 1996 12 1446.
 1997 01  240·
 1997 02  234·
 1997 03  6212.
 1997 04  6419.
 1997 05  4924·
 1997 06  7359·
 1997 07  7966.
 1997 08  155·
 1997 09  8825·
 1997 10  6023·
 1997 11  8227.
 1997 12  6331·
 1998 01 8733.
 1998 02 63
 1998 03 129·
 1998 04 1323·
 1998 05 4139·
 1998 06 838.
 1998 07 9435.
 1998 08 3943.
 1998 09 6819·
 1998 10 4419·
 1998 11 4212.
 1998 12 5428.
 1999 01  1313.
 1999 02  4743·
 1999 03  5132·
 1999 04  9533·
 1999 05  4531.
 1999 06  1864·
 1999 07  5442·
 1999 08  2753·
 1999 09  5926.
 1999 10  8117.
 1999 11  821·
 1999 12  3536·
 2000 01 7234.
 2000 02 8835·
 2000 03 9213.
 2000 04 3443.
 2000 05 3053·
 2000 06 1346.
 2000 07 1562·
 2000 08 6138.
 2000 09 129.
 2000 10 5844.
 2000 11 836.
 2000 12 8023·
 2001 01  8033·
 2001 02  4716·
 2001 03  288.
 2001 04  7717.
 2001 05  8528·
 2001 06  3153.
 2001 07  5648·
 2001 08  6631.
 2001 09  6230·
 2001 10  8523.
 2001 11  9830.


 2001 12  8552·
 2002 01 7948.
 2002 02 109·
 2002 03 8838·
 2002 04 9734·
 2002 05 3048.
 2002 06 3153·
 2002 07 8057·
 2002 08 9045·
 2002 09 3421·
 2002 10 9812.
 2002 11 5712·
 2002 12 7624·
 2003 01  3633.
 2003 02  8723.

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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