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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  |  Excel file  |  Self-updating Excel file
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 2003 02  6223·
 2003 01  7733.
 2002 12 5324.
 2002 11 3212·
 2002 10 7612.
 2002 09 5321.
 2002 08 3145·
 2002 07 857·
 2002 06 6453·
 2002 05 3448.
 2002 04 1634.
 2002 03 8938·
 2002 02 749·
 2002 01 248.
 2001 12  2152·
 2001 11  2030.
 2001 10  8323.
 2001 09  6230.
 2001 08  8331·
 2001 07  6848.
 2001 06  9053·
 2001 05  4728.
 2001 04  6717·
 2001 03  298.
 2001 02  2216.
 2001 01  1433·
 2000 12 5923·
 2000 11 2236.
 2000 10 2844·
 2000 09 4329·
 2000 08 7338·
 2000 07 9062·
 2000 06 8446.
 2000 05 4253·
 2000 04 4643.
 2000 03 213·
 2000 02 9135.
 2000 01 4234·
 1999 12  4236·
 1999 11  5421.
 1999 10  7317.
 1999 09  026.
 1999 08  4853·
 1999 07  6442.
 1999 06  8164·
 1999 05  9831·
 1999 04  7833·
 1999 03  7632·
 1999 02  9143.
 1999 01  4113·
 1998 12 6828.
 1998 11 5912·
 1998 10 219·
 1998 09 6319.
 1998 08 8243·
 1998 07 735.
 1998 06 4138.
 1998 05 1839.
 1998 04 823.
 1998 03 4129.
 1998 02 588.
 1998 01 9033.
 1997 12  5931.
 1997 11  327·
 1997 10  2723·
 1997 09  8525·
 1997 08  7355.
 1997 07  6366.
 1997 06  5059.
 1997 05  3324·
 1997 04  1219·
 1997 03  1412·
 1997 02  5234·
 1997 01  9340·
 1996 12 6446.
 1996 11 7710·
 1996 10 8316.
 1996 09 4626.
 1996 08 4343.
 1996 07 9646.
 1996 06 1932.
 1996 05 9723·
 1996 04 8613.
 1996 03 3921.
 1996 02 6024.
 1996 01 8026·
 1995 12  5619·
 1995 11  032.
 1995 10  3114·
 1995 09  50
 1995 08  4129.
 1995 07  9957.
 1995 06  8355·
 1995 05  8941.
 1995 04  5312.
 1995 03  808.
 1995 02  9120·
 1995 01  416.
 1994 12 3222.
 1994 11 1211·
 1994 10 5615.
 1994 09 2640.
 1994 08 3970·
 1994 07 8957.
 1994 06 349.
 1994 05 1339·
 1994 04 6320.
 1994 03 3128.
 1994 02 8222.
 1994 01 4542·
 1993 12  1647.
 1993 11  8139.
 1993 10  6854.
 1993 09  3048.
 1993 08  3756.
 1993 07  872.
 1993 06  6358.
 1993 05  9939·
 1993 04  8743·
 1993 03  726.
 1993 02  9237·
 1993 01  839·
 1992 12 5629.
 1992 11 9745.
 1992 10 431.
 1992 09 4034·
 1992 08 5659·
 1992 07 2298.
 1992 06 7665.
 1992 05 028·
 1992 04 2537·
 1992 03 5123.
 1992 02 738.
 1992 01 2154·
 1991 12  2528.
 1991 11  7955·
 1991 10  2437·
 1991 09  6052·
 1991 08  4558.
 1991 07  2389·
 1991 06  7672.
 1991 05  9722·
 1991 04  9817.
 1991 03  3034·
 1991 02  3836·
 1991 01  4044·
 1990 12 2146.
 1990 11 6744·
 1990 10 1357.
 1990 09 2034·
 1990 08 7751.
 1990 07 2985.
 1990 06 2380·
 1990 05 9324.
 1990 04 5534·
 1990 03 3459.
 1990 02 2171·
 1990 01 4246.
 1989 12  6742·
 1989 11  2862.
 1989 10  8133.
 1989 09  7432.
 1989 08  5066·
 1989 07  8067·
 1989 06  471·
 1989 05  1831·
 1989 04  6929.
 1989 03  8237·
 1989 02  1635·
 1989 01  3428.
 1988 12 1035·
 1988 11 5559.
 1988 10 6550.
 1988 09 156.
 1988 08 8784.
 1988 07 43104·
 1988 06 2973.
 1988 05 2733.
 1988 04 3828.
 1988 03 1527·
 1988 02 733·
 1988 01 4345.
 1987 12  2540.
 1987 11  6546.
 1987 10  2537·
 1987 09  641.
 1987 08  3785·
 1987 07  11101.
 1987 06  3458.
 1987 05  9754.
 1987 04  8538.
 1987 03  9948.
 1987 02  773·
 1987 01  2437·
 1986 12 951·
 1986 11 9838.
 1986 10 4744.
 1986 09 1766.
 1986 08 7179.
 1986 07 060.
 1986 06 7886·
 1986 05 3435.
 1986 04 5942.
 1986 03 2734·
 1986 02 5162.
 1986 01 5631·
 1985 12  8549.
 1985 11  2141.
 1985 10  4141·
 1985 09  9051·
 1985 08  8961.
 1985 07  5381.
 1985 06  4873·
 1985 05  6844.
 1985 04  3241.
 1985 03  1544.
 1985 02  9848·
 1985 01  4555.
 1984 12 246·
 1984 11 2755.
 1984 10 4243.
 1984 09 425.
 1984 08 1369.
 1984 07 3487·
 1984 06 5488.
 1984 05 5138·
 1984 04 132·
 1984 03 547·
 1984 02 3550.
 1984 01 1836.
 1983 12  3249.
 1983 11  3330·
 1983 10  1123.
 1983 09  6229·
 1983 08  9173.
 1983 07  3886.
 1983 06  3281.
 1983 05  6437·
 1983 04  9261.
 1983 03  6444.
 1983 02  7334.
 1983 01  3141·
 1982 12 7352·
 1982 11 8066.
 1982 10 3466·
 1982 09 9479.
 1982 08 9680.
 1982 07 8067·
 1982 06 4293.
 1982 05 1153.
 1982 04 5046.
 1982 03 8358·
 1982 02 4662.
 1982 01 6247.
 1981 12  4862·
 1981 11  3456.
 1981 10  2159·
 1981 09  5525.
 1981 08  2792.
 1981 07  281.
 1981 06  6982.
 1981 05  2154.
 1981 04  5050.
 1981 03  8031·
 1981 02  1549·
 1981 01  1755·
 1980 12 658.
 1980 11 8856·
 1980 10 961.
 1980 09 2456.
 1980 08 6121.
 1980 07 7199.
 1980 06 25115·
 1980 05 4963.
 1980 04 9054·
 1980 03 9640·
 1980 02 6667·
 1980 01 2353·
 1979 12  1970.
 1979 11  5960.
 1979 10  5638·
 1979 09  440·
 1979 08  8258·
 1979 07  7888.
 1979 06  45101·
 1979 05  7342.
 1979 04  9146·
 1979 03  9839.
 1979 02  1051.
 1979 01  3636.
 1978 12 8535·
 1978 11 8855·
 1978 10 4945.
 1978 09 2668·
 1978 08 2794.
 1978 07 42125·
 1978 06 90113·
 1978 05 9863.
 1978 04 451·
 1978 03 7865·
 1978 02 8159.
 1978 01 3531·
 1977 12  2926.
 1977 11  4251.
 1977 10  9972.
 1977 09  4372·
 1977 08  40102·
 1977 07  288·
 1977 06  4487.
 1977 05  5482.
 1977 04  056.
 1977 03  5362·
 1977 02  4140.
 1977 01  2422·
 1976 12 9651·
 1976 11 1355·
 1976 10 4154·
 1976 09 3574·
 1976 08 4392.
 1976 07 2784.
 1976 06 1989.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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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