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 Series Title: Number At work part-time, usually work part-timeEconomic reasons 30-34 hours 16-19 yrs. Male: NSA (Thousands)
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 2003 02  9036·
 2003 01  8533·
 2002 12 8431.
 2002 11 2971·
 2002 10 8546.
 2002 09 1634.
 2002 08 927·
 2002 07 1057.
 2002 06 5268.
 2002 05 5147·
 2002 04 624·
 2002 03 9627·
 2002 02 4235·
 2002 01 7434.
 2001 12  4045·
 2001 11  3249.
 2001 10  3034·
 2001 09  8938·
 2001 08  3351·
 2001 07  8566.
 2001 06  1758·
 2001 05  2921.
 2001 04  4623·
 2001 03  506.
 2001 02  2830.
 2001 01  5024.
 2000 12 6831.
 2000 11 4713.
 2000 10 1456.
 2000 09 3435·
 2000 08 1234.
 2000 07 2057·
 2000 06 5060·
 2000 05 8747.
 2000 04 1521.
 2000 03 3822·
 2000 02 3628.
 2000 01 4229·
 1999 12  4023·
 1999 11  9415.
 1999 10  9822·
 1999 09  5543·
 1999 08  7631.
 1999 07  880.
 1999 06  8639·
 1999 05  732·
 1999 04  3518·
 1999 03  2528.
 1999 02  7529.
 1999 01  535.
 1998 12 5541.
 1998 11 1328·
 1998 10 6727.
 1998 09 8130·
 1998 08 9932·
 1998 07 6677·
 1998 06 8530·
 1998 05 9230·
 1998 04 5522·
 1998 03 450.
 1998 02 8233.
 1998 01 1832·
 1997 12  3539·
 1997 11  7137.
 1997 10  3143·
 1997 09  6748.
 1997 08  7862.
 1997 07  3583·
 1997 06  3464.
 1997 05  7124.
 1997 04  4719.
 1997 03  9229.
 1997 02  1524.
 1997 01  8514·
 1996 12 2924·
 1996 11 5920.
 1996 10 2619.
 1996 09 9225·
 1996 08 3864·
 1996 07 83111·
 1996 06 4172.
 1996 05 9920.
 1996 04 1025.
 1996 03 3013.
 1996 02 6230.
 1996 01 3621.
 1995 12  1025.
 1995 11  9627·
 1995 10  1335.
 1995 09  6129·
 1995 08  2565·
 1995 07  0114·
 1995 06  4491·
 1995 05  5538·
 1995 04  6732·
 1995 03  8620·
 1995 02  3258.
 1995 01  2440.
 1994 12 7530.
 1994 11 2245.
 1994 10 7722·
 1994 09 139·
 1994 08 1287·
 1994 07 493·
 1994 06 378.
 1994 05 4334·
 1994 04 6631·
 1994 03 5036·
 1994 02 6245.
 1994 01 3049.
 1993 12  4937·
 1993 11  543·
 1993 10  2857.
 1993 09  6946.
 1993 08  99123·
 1993 07  37174·
 1993 06  381·
 1993 05  9234.
 1993 04  7934·
 1993 03  4141·
 1993 02  1147·
 1993 01  5635·
 1992 12 7848.
 1992 11 3546·
 1992 10 361.
 1992 09 4370.
 1992 08 7145.
 1992 07 65146·
 1992 06 54105·
 1992 05 5836.
 1992 04 548·
 1992 03 9937·
 1992 02 6538.
 1992 01 3444.
 1991 12  3553.
 1991 11  3139.
 1991 10  6246.
 1991 09  2761·
 1991 08  8583.
 1991 07  80141·
 1991 06  9383.
 1991 05  1948.
 1991 04  6846·
 1991 03  9133.
 1991 02  3648.
 1991 01  1651·
 1990 12 2029·
 1990 11 3345.
 1990 10 8929·
 1990 09 5136.
 1990 08 692.
 1990 07 0155.
 1990 06 80103·
 1990 05 7932.
 1990 04 1441·
 1990 03 1047.
 1990 02 5737.
 1990 01 8333·
 1989 12  5526.
 1989 11  937·
 1989 10  9741·
 1989 09  6952.
 1989 08  69115.
 1989 07  65124·
 1989 06  0122·
 1989 05  6826·
 1989 04  1738·
 1989 03  7240.
 1989 02  9127·
 1989 01  3836.
 1988 12 8848·
 1988 11 5026·
 1988 10 2049·
 1988 09 6036·
 1988 08 95145.
 1988 07 42163·
 1988 06 64119.
 1988 05 4137·
 1988 04 7536·
 1988 03 1944·
 1988 02 2231·
 1988 01 1137·
 1987 12  9248·
 1987 11  7327.
 1987 10  2048·
 1987 09  2943·
 1987 08  33151·
 1987 07  24171·
 1987 06  7106·
 1987 05  7540.
 1987 04  1232.
 1987 03  1733.
 1987 02  6148.
 1987 01  5733·
 1986 12 6542.
 1986 11 2039.
 1986 10 8040.
 1986 09 543.
 1986 08 57133.
 1986 07 28149.
 1986 06 9181.
 1986 05 7657.
 1986 04 7439.
 1986 03 5940·
 1986 02 4331·
 1986 01 5336·
 1985 12  3039.
 1985 11  5834.
 1985 10  1336.
 1985 09  4272.
 1985 08  63174·
 1985 07  94171.
 1985 06  0109·
 1985 05  7457·
 1985 04  3640·
 1985 03  6148.
 1985 02  3041·
 1985 01  632·
 1984 12 3650·
 1984 11 7847.
 1984 10 5346·
 1984 09 1954.
 1984 08 76138·
 1984 07 90186·
 1984 06 45115.
 1984 05 2160·
 1984 04 9557.
 1984 03 6545·
 1984 02 647.
 1984 01 4353·
 1983 12  5547·
 1983 11  9845·
 1983 10  6251.
 1983 09  4240·
 1983 08  43148.
 1983 07  7199.
 1983 06  62147·
 1983 05  9854·
 1983 04  7448.
 1983 03  3870.
 1983 02  8263.
 1983 01  2095.
 1982 12 8570.
 1982 11 5972.
 1982 10 2475·
 1982 09 3823.
 1982 08 38144·
 1982 07 63172·
 1982 06 1173·
 1982 05 955·
 1982 04 2244.
 1982 03 7136.
 1982 02 9530·
 1982 01 1529.
 1981 12  4944·
 1981 11  2733·
 1981 10  5041.
 1981 09  6357·
 1981 08  58151.
 1981 07  99186·
 1981 06  78104.
 1981 05  8334.
 1981 04  1147·
 1981 03  8251.
 1981 02  339.
 1981 01  3433.
 1980 12 9643·
 1980 11 9538·
 1980 10 7662.
 1980 09 9569.
 1980 08 26140·
 1980 07 82163.
 1980 06 7391.
 1980 05 7545·
 1980 04 3934·
 1980 03 1324·
 1980 02 9316.
 1980 01 421·
 1979 12  9814·
 1979 11  8035.
 1979 10  6330.
 1979 09  4046.
 1979 08  91111.
 1979 07  4122.
 1979 06  3277.
 1979 05  6336.
 1979 04  3021·
 1979 03  2919.
 1979 02  7615.
 1979 01  8125·
 1978 12 5428·
 1978 11 2330.
 1978 10 9529.
 1978 09 2650·
 1978 08 25117.
 1978 07 81155.
 1978 06 1591.
 1978 05 5325.
 1978 04 3117.
 1978 03 2343.
 1978 02 8639.
 1978 01 4425·
 1977 12  8629·
 1977 11  9138·
 1977 10  8439.
 1977 09  728.
 1977 08  27119·
 1977 07  56144.
 1977 06  876·
 1977 05  7327·
 1977 04  1632.
 1977 03  1124.
 1977 02  8527·
 1977 01  9719·
 1976 12 4340.
 1976 11 7626·
 1976 10 6427·
 1976 09 6333·
 1976 08 19103·
 1976 07 95122·
 1976 06 2265.
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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 part-timeEconomic reasons 30-34 hours 16-19 yrs. Male: 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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