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 Series Title: Number At work part-time, usually PT Noneconomicreasons 30-34 hrs 16-17 yrs Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  3240·
 2003 01  7219·
 2002 12 6244.
 2002 11 444·
 2002 10 2648·
 2002 09 5643.
 2002 08 25113·
 2002 07 94101·
 2002 06 596·
 2002 05 5725·
 2002 04 847.
 2002 03 230·
 2002 02 2026.
 2002 01 5738·
 2001 12  2365.
 2001 11  7046.
 2001 10  4543·
 2001 09  6256.
 2001 08  8126.
 2001 07  70180.
 2001 06  82125·
 2001 05  455.
 2001 04  2767.
 2001 03  9435·
 2001 02  5540·
 2001 01  4027·
 2000 12 6857·
 2000 11 6364·
 2000 10 1567·
 2000 09 5283·
 2000 08 42162.
 2000 07 19195.
 2000 06 38122·
 2000 05 4672·
 2000 04 8853.
 2000 03 3371.
 2000 02 2358.
 2000 01 5356.
 1999 12  6956·
 1999 11  9853·
 1999 10  9751.
 1999 09  3150·
 1999 08  73201·
 1999 07  34205.
 1999 06  995·
 1999 05  6064·
 1999 04  1365.
 1999 03  8478·
 1999 02  3643·
 1999 01  4968.
 1998 12 2670.
 1998 11 1873·
 1998 10 7643·
 1998 09 2776·
 1998 08 75145.
 1998 07 30153.
 1998 06 57134.
 1998 05 5340·
 1998 04 4984.
 1998 03 4068·
 1998 02 2833·
 1998 01 731·
 1997 12  6155·
 1997 11  9061·
 1997 10  6474.
 1997 09  9668·
 1997 08  47104.
 1997 07  51152·
 1997 06  66110·
 1997 05  5284.
 1997 04  7157.
 1997 03  1650.
 1997 02  5942.
 1997 01  3149.
 1996 12 2250.
 1996 11 548·
 1996 10 9570·
 1996 09 1686·
 1996 08 11116.
 1996 07 62175.
 1996 06 47102·
 1996 05 1236·
 1996 04 7656.
 1996 03 5655·
 1996 02 1751·
 1996 01 5257·
 1995 12  8243·
 1995 11  8136·
 1995 10  3047.
 1995 09  9244·
 1995 08  15128.
 1995 07  56186·
 1995 06  36134.
 1995 05  1355·
 1995 04  8859·
 1995 03  2543.
 1995 02  1046·
 1995 01  2346·
 1994 12 3953.
 1994 11 5855.
 1994 10 5464·
 1994 09 5367.
 1994 08 32139·
 1994 07 49150·
 1994 06 9397.
 1994 05 5937·
 1994 04 5337.
 1994 03 1640.
 1994 02 7634.
 1994 01 2435·
 1993 12  1736.
 1993 11  538.
 1993 10  7923·
 1993 09  5351·
 1993 08  60130.
 1993 07  83139.
 1993 06  372·
 1993 05  7937·
 1993 04  4634.
 1993 03  4621.
 1993 02  7342.
 1993 01  5827·
 1992 12 6353·
 1992 11 1237.
 1992 10 4034·
 1992 09 7243·
 1992 08 2396.
 1992 07 2598·
 1992 06 7864.
 1992 05 2730.
 1992 04 6525·
 1992 03 5531·
 1992 02 8827.
 1992 01 5623.
 1991 12  5030.
 1991 11  9636.
 1991 10  9642.
 1991 09  1437·
 1991 08  68121·
 1991 07  67108·
 1991 06  5361·
 1991 05  8346.
 1991 04  3143.
 1991 03  1246.
 1991 02  3249·
 1991 01  7146.
 1990 12 7747·
 1990 11 035.
 1990 10 3531·
 1990 09 849.
 1990 08 69133·
 1990 07 25115·
 1990 06 8788·
 1990 05 5145.
 1990 04 9441.
 1990 03 745·
 1990 02 3949.
 1990 01 8250.
 1989 12  6745.
 1989 11  8985·
 1989 10  6674·
 1989 09  860·
 1989 08  23154.
 1989 07  41146.
 1989 06  6888.
 1989 05  6073·
 1989 04  2754·
 1989 03  5743·
 1989 02  7152.
 1989 01  9549.
 1988 12 6651.
 1988 11 5765·
 1988 10 2571·
 1988 09 9557·
 1988 08 54174·
 1988 07 83139.
 1988 06 5101.
 1988 05 6560.
 1988 04 2754·
 1988 03 654.
 1988 02 1346.
 1988 01 3847.
 1987 12  5072.
 1987 11  1959·
 1987 10  7256.
 1987 09  7161.
 1987 08  9144.
 1987 07  41158.
 1987 06  35117.
 1987 05  4573.
 1987 04  1854.
 1987 03  1842·
 1987 02  7566·
 1987 01  6658.
 1986 12 1584.
 1986 11 1780.
 1986 10 9452·
 1986 09 6778.
 1986 08 62134.
 1986 07 33135.
 1986 06 16111·
 1986 05 472·
 1986 04 4874·
 1986 03 8639.
 1986 02 9326.
 1986 01 5837·
 1985 12  8553·
 1985 11  1950·
 1985 10  059.
 1985 09  3750.
 1985 08  11110·
 1985 07  1111·
 1985 06  3675·
 1985 05  7142.
 1985 04  8962.
 1985 03  2749.
 1985 02  2842·
 1985 01  1847·
 1984 12 753.
 1984 11 1539.
 1984 10 2646.
 1984 09 5958·
 1984 08 7890·
 1984 07 11105·
 1984 06 592·
 1984 05 150·
 1984 04 4051.
 1984 03 8254·
 1984 02 6538·
 1984 01 7637.
 1983 12  5541·
 1983 11  2431·
 1983 10  3237.
 1983 09  3939·
 1983 08  1286·
 1983 07  55103.
 1983 06  5779·
 1983 05  7451·
 1983 04  2437·
 1983 03  1933.
 1983 02  1530.
 1983 01  8526·
 1982 12 2740.
 1982 11 8636·
 1982 10 532.
 1982 09 652·
 1982 08 8676.
 1982 07 5084·
 1982 06 5471·
 1982 05 9267.
 1982 04 8862·
 1982 03 2937·
 1982 02 1265.
 1982 01 2653·
 1981 12  4658·
 1981 11  6851.
 1981 10  5549·
 1981 09  1366·
 1981 08  9886·
 1981 07  37130.
 1981 06  8268.
 1981 05  8662·
 1981 04  776·
 1981 03  2946·
 1981 02  1955·
 1981 01  247.
 1980 12 6063.
 1980 11 6355·
 1980 10 1792·
 1980 09 4185·
 1980 08 71136·
 1980 07 84174.
 1980 06 50133.
 1980 05 1195·
 1980 04 7787.
 1980 03 6091·
 1980 02 2084.
 1980 01 42105·
 1979 12  42126.
 1979 11  8793·
 1979 10  5197.
 1979 09  93113·
 1979 08  53130·
 1979 07  82135·
 1979 06  95108·
 1979 05  4492·
 1979 04  2398·
 1979 03  9072.
 1979 02  2669·
 1979 01  279.
 1978 12 9083.
 1978 11 8189.
 1978 10 4492.
 1978 09 99106·
 1978 08 16149·
 1978 07 48141.
 1978 06 7693.
 1978 05 91105.
 1978 04 9188·
 1978 03 1184·
 1978 02 7291.
 1978 01 6096·
 1977 12  2693.
 1977 11  1397.
 1977 10  6105.
 1977 09  13105.
 1977 08  60133·
 1977 07  24148·
 1977 06  80105.
 1977 05  8179·
 1977 04  56110·
 1977 03  3880.
 1977 02  1990.
 1977 01  2177.
 1976 12 087·
 1976 11 7494.
 1976 10 73105.
 1976 09 1497·
 1976 08 7119·
 1976 07 77145.
 1976 06 1790.
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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 PT Noneconomicreasons 30-34 hrs 16-17 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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