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 Series Title: Number At work part-time, usually work part-timeEconomic reasons 30-34 hours 20-24 yrs. Male: NSA (Thousands)
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 2003 02  20103·
 2003 01  76112·
 2002 12 3558·
 2002 11 1366·
 2002 10 5087.
 2002 09 86103·
 2002 08 6582·
 2002 07 6166.
 2002 06 2779·
 2002 05 7688.
 2002 04 7867·
 2002 03 89102.
 2002 02 3104·
 2002 01 2861·
 2001 12  85109·
 2001 11  4164·
 2001 10  5274·
 2001 09  4763·
 2001 08  2655.
 2001 07  8658·
 2001 06  75114.
 2001 05  6639.
 2001 04  6298·
 2001 03  1866·
 2001 02  9761·
 2001 01  4277·
 2000 12 8272.
 2000 11 5747.
 2000 10 6840.
 2000 09 5545.
 2000 08 9987·
 2000 07 4782.
 2000 06 6468.
 2000 05 1349.
 2000 04 5073.
 2000 03 5681.
 2000 02 8666.
 2000 01 4772·
 1999 12  9844.
 1999 11  7944.
 1999 10  5859·
 1999 09  1463.
 1999 08  3289.
 1999 07  3579·
 1999 06  3254·
 1999 05  9571·
 1999 04  6472·
 1999 03  6875.
 1999 02  8254.
 1999 01  9878.
 1998 12 3268·
 1998 11 4870·
 1998 10 939·
 1998 09 5347.
 1998 08 9971.
 1998 07 68104·
 1998 06 3890·
 1998 05 1856.
 1998 04 5380.
 1998 03 4889.
 1998 02 2066.
 1998 01 7473.
 1997 12  757·
 1997 11  3178·
 1997 10  2982.
 1997 09  2795.
 1997 08  9885·
 1997 07  88105·
 1997 06  6894·
 1997 05  1078.
 1997 04  9078.
 1997 03  1171·
 1997 02  6079·
 1997 01  7987·
 1996 12 7065.
 1996 11 2166.
 1996 10 5678·
 1996 09 1577·
 1996 08 5186.
 1996 07 6170·
 1996 06 3287.
 1996 05 2674.
 1996 04 7289·
 1996 03 077.
 1996 02 8889.
 1996 01 4288.
 1995 12  9579.
 1995 11  33106·
 1995 10  50109.
 1995 09  21109·
 1995 08  7121.
 1995 07  78121.
 1995 06  67131.
 1995 05  4496·
 1995 04  2386.
 1995 03  8176.
 1995 02  1592·
 1995 01  1894·
 1994 12 79103·
 1994 11 990.
 1994 10 95113.
 1994 09 7571·
 1994 08 3998·
 1994 07 58103.
 1994 06 32134·
 1994 05 70103·
 1994 04 91113.
 1994 03 46124·
 1994 02 76139.
 1994 01 8795.
 1993 12  4696.
 1993 11  1796·
 1993 10  3115·
 1993 09  30107·
 1993 08  45152.
 1993 07  41153.
 1993 06  14119.
 1993 05  33158.
 1993 04  48100·
 1993 03  1299.
 1993 02  32124·
 1993 01  51111.
 1992 12 45113.
 1992 11 48115.
 1992 10 10113·
 1992 09 67115.
 1992 08 47122.
 1992 07 95138·
 1992 06 22159·
 1992 05 87131·
 1992 04 94123·
 1992 03 20124·
 1992 02 68123.
 1992 01 4288.
 1991 12  4790·
 1991 11  1990·
 1991 10  7598.
 1991 09  8991·
 1991 08  95110.
 1991 07  10122.
 1991 06  92109.
 1991 05  10114.
 1991 04  50118·
 1991 03  38146·
 1991 02  9586·
 1991 01  1262·
 1990 12 5161·
 1990 11 7281·
 1990 10 8572.
 1990 09 2678.
 1990 08 60101·
 1990 07 5104·
 1990 06 86103.
 1990 05 975.
 1990 04 65107·
 1990 03 5764.
 1990 02 4959·
 1990 01 4267·
 1989 12  8066.
 1989 11  7360·
 1989 10  4984.
 1989 09  3277·
 1989 08  4163·
 1989 07  2095.
 1989 06  87143·
 1989 05  1191.
 1989 04  1384.
 1989 03  9579.
 1989 02  8956.
 1989 01  3575·
 1988 12 8272·
 1988 11 1481.
 1988 10 470.
 1988 09 8660.
 1988 08 62113.
 1988 07 24161·
 1988 06 8118.
 1988 05 7173·
 1988 04 9072.
 1988 03 9283·
 1988 02 187.
 1988 01 2190·
 1987 12  3058.
 1987 11  13100·
 1987 10  1079·
 1987 09  9372·
 1987 08  69109.
 1987 07  6123·
 1987 06  83120·
 1987 05  6878·
 1987 04  2177.
 1987 03  15110·
 1987 02  9786.
 1987 01  5483·
 1986 12 2296·
 1986 11 1076·
 1986 10 5279·
 1986 09 8149·
 1986 08 3781.
 1986 07 85106.
 1986 06 73143·
 1986 05 7105·
 1986 04 52123·
 1986 03 5879.
 1986 02 1181·
 1986 01 13107.
 1985 12  8171·
 1985 11  7393.
 1985 10  4195·
 1985 09  6107·
 1985 08  62128.
 1985 07  1113.
 1985 06  64178·
 1985 05  18127.
 1985 04  5890·
 1985 03  3596.
 1985 02  487·
 1985 01  490·
 1984 12 5685·
 1984 11 9495·
 1984 10 13127.
 1984 09 47118·
 1984 08 69137·
 1984 07 23154.
 1984 06 65142.
 1984 05 53112·
 1984 04 36112.
 1984 03 89121.
 1984 02 62110·
 1984 01 54100.
 1983 12  1996·
 1983 11  89113.
 1983 10  28124.
 1983 09  7114.
 1983 08  6111.
 1983 07  40140.
 1983 06  14131·
 1983 05  93102·
 1983 04  1094.
 1983 03  8891·
 1983 02  9574·
 1983 01  19114·
 1982 12 6888.
 1982 11 0128.
 1982 10 7296.
 1982 09 1689.
 1982 08 44129.
 1982 07 72120·
 1982 06 70123.
 1982 05 42117·
 1982 04 26101.
 1982 03 2286.
 1982 02 3962·
 1982 01 7760.
 1981 12  2765·
 1981 11  9489·
 1981 10  5550·
 1981 09  2966.
 1981 08  8373.
 1981 07  5889·
 1981 06  1866.
 1981 05  2957.
 1981 04  5956.
 1981 03  871.
 1981 02  5445.
 1981 01  3373.
 1980 12 4365·
 1980 11 6345·
 1980 10 1360·
 1980 09 2454.
 1980 08 4659·
 1980 07 6769·
 1980 06 7070.
 1980 05 870.
 1980 04 765·
 1980 03 8942.
 1980 02 2635·
 1980 01 1735·
 1979 12  8948.
 1979 11  2338·
 1979 10  635.
 1979 09  737.
 1979 08  8061.
 1979 07  8941.
 1979 06  6042.
 1979 05  6031.
 1979 04  9226.
 1979 03  3048.
 1979 02  6527·
 1979 01  8228.
 1978 12 6422·
 1978 11 1625·
 1978 10 2025·
 1978 09 540.
 1978 08 5852·
 1978 07 4152.
 1978 06 5054·
 1978 05 8738·
 1978 04 6351·
 1978 03 2537·
 1978 02 739·
 1978 01 838·
 1977 12  9046·
 1977 11  1033·
 1977 10  6527.
 1977 09  7537.
 1977 08  7960.
 1977 07  6642.
 1977 06  2557·
 1977 05  2055.
 1977 04  9248.
 1977 03  8948·
 1977 02  1348.
 1977 01  9946.
 1976 12 1656·
 1976 11 9547·
 1976 10 7849·
 1976 09 9446·
 1976 08 6663.
 1976 07 3152.
 1976 06 9658.
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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 20-24 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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