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 Series Title: Number At work part-time, usually work full-timeEconomic reasons 30-34 hours 18-19 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  018·
 2003 01  2533·
 2002 12 6724.
 2002 11 3512.
 2002 10 63
 2002 09 8521·
 2002 08 3940·
 2002 07 9245.
 2002 06 9237·
 2002 05 4435.
 2002 04 1326·
 2002 03 4835·
 2002 02 388.
 2002 01 8341·
 2001 12  050·
 2001 11  4727.
 2001 10  7622·
 2001 09  824·
 2001 08  3819.
 2001 07  5729·
 2001 06  641.
 2001 05  5325·
 2001 04  9214.
 2001 03  74
 2001 02  5414·
 2001 01  7228·
 2000 12 4820.
 2000 11 1632·
 2000 10 7144.
 2000 09 4723·
 2000 08 1918·
 2000 07 2745·
 2000 06 3133·
 2000 05 8645·
 2000 04 4342.
 2000 03 7711.
 2000 02 3635·
 2000 01 2033.
 1999 12  8431.
 1999 11  5915.
 1999 10  1017.
 1999 09  623.
 1999 08  2928.
 1999 07  9335·
 1999 06  348.
 1999 05  2527.
 1999 04  9031·
 1999 03  2430.
 1999 02  9240·
 1999 01  8413.
 1998 12 717·
 1998 11 1912·
 1998 10 7719.
 1998 09 1419·
 1998 08 4135·
 1998 07 7329.
 1998 06 8231·
 1998 05 7238·
 1998 04 8023·
 1998 03 621.
 1998 02 593·
 1998 01 4031.
 1997 12  3926.
 1997 11  6126.
 1997 10  8323.
 1997 09  2523.
 1997 08  5347.
 1997 07  846·
 1997 06  5442·
 1997 05  5822.
 1997 04  8716.
 1997 03  4113.
 1997 02  9834.
 1997 01  9535.
 1996 12 2838·
 1996 11 785·
 1996 10 6416·
 1996 09 1924·
 1996 08 8928.
 1996 07 6536·
 1996 06 2925.
 1996 05 3517·
 1996 04 813.
 1996 03 7020·
 1996 02 9324·
 1996 01 7724.
 1995 12  4819·
 1995 11  8725.
 1995 10  8112·
 1995 09  011·
 1995 08  9611·
 1995 07  3534.
 1995 06  4337.
 1995 05  8535·
 1995 04  6612.
 1995 03  60
 1995 02  5620·
 1995 01  4016·
 1994 12 9619·
 1994 11 296·
 1994 10 1815.
 1994 09 9739.
 1994 08 4860·
 1994 07 3728·
 1994 06 5736·
 1994 05 1133·
 1994 04 1020·
 1994 03 322·
 1994 02 2119.
 1994 01 6534·
 1993 12  9643·
 1993 11  7136·
 1993 10  8748·
 1993 09  6449·
 1993 08  4340·
 1993 07  1053·
 1993 06  5533·
 1993 05  4230·
 1993 04  1328.
 1993 03  1524·
 1993 02  5028.
 1993 01  5436·
 1992 12 9528·
 1992 11 436·
 1992 10 2330·
 1992 09 8232.
 1992 08 346.
 1992 07 2365·
 1992 06 4952.
 1992 05 3325·
 1992 04 7237.
 1992 03 3921.
 1992 02 2836·
 1992 01 3850·
 1991 12  6826·
 1991 11  4751.
 1991 10  8634·
 1991 09  5447.
 1991 08  7642·
 1991 07  6677.
 1991 06  7459.
 1991 05  6222·
 1991 04  1116·
 1991 03  4132·
 1991 02  6633.
 1991 01  7044.
 1990 12 1035·
 1990 11 4039·
 1990 10 6356.
 1990 09 930·
 1990 08 3743.
 1990 07 5855.
 1990 06 9063.
 1990 05 3518·
 1990 04 7821.
 1990 03 1347.
 1990 02 9862·
 1990 01 3143.
 1989 12  4741.
 1989 11  5059·
 1989 10  6329·
 1989 09  231·
 1989 08  8235·
 1989 07  3855.
 1989 06  8456.
 1989 05  8130·
 1989 04  4524.
 1989 03  7233.
 1989 02  8734·
 1989 01  2427·
 1988 12 2529·
 1988 11 6956·
 1988 10 2242·
 1988 09 1252·
 1988 08 3558.
 1988 07 7676.
 1988 06 6547·
 1988 05 5329.
 1988 04 1126·
 1988 03 5924·
 1988 02 1628.
 1988 01 7837·
 1987 12  1833.
 1987 11  1540.
 1987 10  132·
 1987 09  4435.
 1987 08  4351.
 1987 07  6175·
 1987 06  7045.
 1987 05  3248.
 1987 04  9935·
 1987 03  4247·
 1987 02  9769·
 1987 01  4833.
 1986 12 2447·
 1986 11 2734.
 1986 10 8540.
 1986 09 2662·
 1986 08 8161.
 1986 07 1148·
 1986 06 5862.
 1986 05 2033.
 1986 04 5742·
 1986 03 1228.
 1986 02 6652·
 1986 01 1427.
 1985 12  6643·
 1985 11  7535.
 1985 10  8530·
 1985 09  1350.
 1985 08  4550.
 1985 07  6863.
 1985 06  1550.
 1985 05  4935·
 1985 04  5835.
 1985 03  8638.
 1985 02  8241.
 1985 01  7952.
 1984 12 9241.
 1984 11 4852.
 1984 10 3641·
 1984 09 8418.
 1984 08 6054·
 1984 07 9850.
 1984 06 5358.
 1984 05 7234·
 1984 04 032.
 1984 03 642.
 1984 02 3243·
 1984 01 7331.
 1983 12  7550.
 1983 11  6528.
 1983 10  020.
 1983 09  4425·
 1983 08  7356.
 1983 07  9463.
 1983 06  657·
 1983 05  6833·
 1983 04  638.
 1983 03  3840·
 1983 02  2630.
 1983 01  5035.
 1982 12 1349·
 1982 11 6659.
 1982 10 6055·
 1982 09 2266.
 1982 08 5659·
 1982 07 7246·
 1982 06 3478·
 1982 05 4144·
 1982 04 2436.
 1982 03 7549·
 1982 02 9956·
 1982 01 8943.
 1981 12  2958.
 1981 11  1953.
 1981 10  2951.
 1981 09  7225·
 1981 08  969·
 1981 07  7450.
 1981 06  2555.
 1981 05  2249.
 1981 04  2742.
 1981 03  3330·
 1981 02  1240·
 1981 01  9549.
 1980 12 7150·
 1980 11 1639.
 1980 10 4156.
 1980 09 7345.
 1980 08 5494·
 1980 07 6675·
 1980 06 8791·
 1980 05 6352.
 1980 04 1343·
 1980 03 5431·
 1980 02 5152.
 1980 01 9741·
 1979 12  1355.
 1979 11  7253.
 1979 10  5731.
 1979 09  3035.
 1979 08  3948·
 1979 07  4158.
 1979 06  5764.
 1979 05  4640·
 1979 04  640.
 1979 03  432.
 1979 02  2641.
 1979 01  4930·
 1978 12 5126.
 1978 11 3135.
 1978 10 6346.
 1978 09 7359·
 1978 08 3753·
 1978 07 1684.
 1978 06 9571.
 1978 05 7349.
 1978 04 5345.
 1978 03 7757·
 1978 02 7254·
 1978 01 3133·
 1977 12  1019.
 1977 11  5934.
 1977 10  6960.
 1977 09  5452·
 1977 08  4762·
 1977 07  3154·
 1977 06  8760·
 1977 05  7460.
 1977 04  2741·
 1977 03  8753.
 1977 02  5129.
 1977 01  4718·
 1976 12 3742·
 1976 11 4749·
 1976 10 1148.
 1976 09 5462.
 1976 08 9159·
 1976 07 5453.
 1976 06 4360.
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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 18-19 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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