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 Series Title: Number Unemployed for 7-10 weeks 20-24 yrs. Female: NSA (Thousands)
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 2003 02  4131·
 2003 01  089.
 2002 12 2696.
 2002 11 23122.
 2002 10 5591·
 2002 09 8788.
 2002 08 90114·
 2002 07 60145·
 2002 06 7892·
 2002 05 7975·
 2002 04 6074.
 2002 03 2128.
 2002 02 24104.
 2002 01 5885.
 2001 12  5178·
 2001 11  94102.
 2001 10  69119·
 2001 09  2977.
 2001 08  0124.
 2001 07  382.
 2001 06  1268·
 2001 05  2554.
 2001 04  6973·
 2001 03  2578·
 2001 02  8074·
 2001 01  376.
 2000 12 4766.
 2000 11 7860·
 2000 10 2255·
 2000 09 4375·
 2000 08 4787·
 2000 07 7113.
 2000 06 1466·
 2000 05 5347.
 2000 04 774.
 2000 03 8195·
 2000 02 5685.
 2000 01 6472.
 1999 12  8851·
 1999 11  9486.
 1999 10  7472·
 1999 09  3369.
 1999 08  8089.
 1999 07  64108.
 1999 06  1859·
 1999 05  4173·
 1999 04  9673.
 1999 03  3777.
 1999 02  64116·
 1999 01  9692.
 1998 12 7255·
 1998 11 8153.
 1998 10 1264·
 1998 09 28101·
 1998 08 7274.
 1998 07 91113.
 1998 06 8768·
 1998 05 9559.
 1998 04 8445·
 1998 03 8598.
 1998 02 3993.
 1998 01 7779.
 1997 12  2179·
 1997 11  889.
 1997 10  4565·
 1997 09  8362.
 1997 08  2086·
 1997 07  29122·
 1997 06  498·
 1997 05  4239·
 1997 04  4584·
 1997 03  4189·
 1997 02  4186·
 1997 01  1376·
 1996 12 8471.
 1996 11 6589·
 1996 10 979·
 1996 09 76119·
 1996 08 48122·
 1996 07 45118·
 1996 06 8089·
 1996 05 3990·
 1996 04 7750.
 1996 03 4898.
 1996 02 5782.
 1996 01 3259·
 1995 12  3380·
 1995 11  7192.
 1995 10  6499.
 1995 09  13115.
 1995 08  488.
 1995 07  31134.
 1995 06  5279.
 1995 05  6465·
 1995 04  391.
 1995 03  73129.
 1995 02  9698·
 1995 01  9065.
 1994 12 6772·
 1994 11 6693.
 1994 10 9779.
 1994 09 23105·
 1994 08 60104.
 1994 07 4145·
 1994 06 7993·
 1994 05 2175.
 1994 04 7089·
 1994 03 688·
 1994 02 94113.
 1994 01 6492·
 1993 12  960.
 1993 11  17110.
 1993 10  1787·
 1993 09  5971.
 1993 08  16108.
 1993 07  5133.
 1993 06  4876.
 1993 05  39104.
 1993 04  5292.
 1993 03  6595.
 1993 02  12105.
 1993 01  5992·
 1992 12 792.
 1992 11 16127·
 1992 10 61100.
 1992 09 2121·
 1992 08 93122.
 1992 07 2103·
 1992 06 6882·
 1992 05 73116.
 1992 04 4774.
 1992 03 9275.
 1992 02 35114.
 1992 01 690.
 1991 12  3486·
 1991 11  81109·
 1991 10  8896·
 1991 09  5575·
 1991 08  40140·
 1991 07  86174.
 1991 06  7686·
 1991 05  3115·
 1991 04  7855·
 1991 03  54103.
 1991 02  7581·
 1991 01  5793.
 1990 12 8743·
 1990 11 5295.
 1990 10 8597·
 1990 09 4786·
 1990 08 30101·
 1990 07 7468.
 1990 06 3158·
 1990 05 3288.
 1990 04 9359.
 1990 03 4175·
 1990 02 6561.
 1990 01 9274·
 1989 12  9150·
 1989 11  9647.
 1989 10  6163.
 1989 09  3470·
 1989 08  6186·
 1989 07  872.
 1989 06  2074.
 1989 05  9071·
 1989 04  6552.
 1989 03  7272.
 1989 02  6796·
 1989 01  1694·
 1988 12 9277·
 1988 11 673.
 1988 10 5363·
 1988 09 9457.
 1988 08 5669.
 1988 07 5564.
 1988 06 5364.
 1988 05 3172·
 1988 04 9263.
 1988 03 8797.
 1988 02 6785.
 1988 01 5863.
 1987 12  6564.
 1987 11  9883.
 1987 10  21115.
 1987 09  3290·
 1987 08  6366·
 1987 07  591·
 1987 06  6590·
 1987 05  3487·
 1987 04  9788.
 1987 03  5490.
 1987 02  7599.
 1987 01  7272·
 1986 12 7100·
 1986 11 14107·
 1986 10 50126·
 1986 09 7685·
 1986 08 55125·
 1986 07 77107·
 1986 06 17112·
 1986 05 4113·
 1986 04 29104·
 1986 03 65139.
 1986 02 26119.
 1986 01 3798·
 1985 12  4195·
 1985 11  20131.
 1985 10  52118.
 1985 09  82113·
 1985 08  30131·
 1985 07  12114.
 1985 06  9589·
 1985 05  70104.
 1985 04  5983·
 1985 03  3699.
 1985 02  81136·
 1985 01  59122.
 1984 12 1588.
 1984 11 9123·
 1984 10 6193.
 1984 09 28122.
 1984 08 12142.
 1984 07 77120.
 1984 06 9108·
 1984 05 87127.
 1984 04 8793.
 1984 03 8141·
 1984 02 26113·
 1984 01 6582.
 1983 12  3110·
 1983 11  98114·
 1983 10  38129.
 1983 09  19123.
 1983 08  48164.
 1983 07  63134.
 1983 06  94117·
 1983 05  3288.
 1983 04  3599·
 1983 03  50146·
 1983 02  71168·
 1983 01  10128.
 1982 12 1102·
 1982 11 27147.
 1982 10 69145.
 1982 09 85127.
 1982 08 11152.
 1982 07 88183·
 1982 06 12170.
 1982 05 12114.
 1982 04 51116.
 1982 03 52113·
 1982 02 52147·
 1982 01 7494·
 1981 12  35143·
 1981 11  64102·
 1981 10  64115·
 1981 09  78113.
 1981 08  0161.
 1981 07  93157·
 1981 06  48141.
 1981 05  55123·
 1981 04  9142·
 1981 03  32121·
 1981 02  29122·
 1981 01  6271.
 1980 12 5094.
 1980 11 1126·
 1980 10 5993·
 1980 09 7983·
 1980 08 37131.
 1980 07 45154.
 1980 06 11106.
 1980 05 1583.
 1980 04 690·
 1980 03 3197·
 1980 02 88115.
 1980 01 159.
 1979 12  21110·
 1979 11  55118.
 1979 10  1494.
 1979 09  93108.
 1979 08  70109.
 1979 07  35125·
 1979 06  39105·
 1979 05  7376.
 1979 04  6698.
 1979 03  16101.
 1979 02  39127·
 1979 01  47104.
 1978 12 46100.
 1978 11 67108·
 1978 10 15117.
 1978 09 4785.
 1978 08 73127·
 1978 07 81114.
 1978 06 9199.
 1978 05 3179·
 1978 04 3684.
 1978 03 79116.
 1978 02 19103.
 1978 01 79104·
 1977 12  4782·
 1977 11  3130.
 1977 10  7291.
 1977 09  9798.
 1977 08  44140.
 1977 07  25131·
 1977 06  53116.
 1977 05  1996·
 1977 04  9083·
 1977 03  36124.
 1977 02  86126·
 1977 01  079·
 1976 12 72106·
 1976 11 57131·
 1976 10 22114.
 1976 09 22108.
 1976 08 5169·
 1976 07 32101·
 1976 06 3691.
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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.
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      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 Unemployed for 7-10 weeks 20-24 yrs. Female: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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