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 Series Title: Number Unemployed for 5-6 weeks 20-24 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  5861·
 2003 01  4956.
 2002 12 5263.
 2002 11 7020.
 2002 10 3047.
 2002 09 6127·
 2002 08 9341.
 2002 07 8842·
 2002 06 8747·
 2002 05 9024.
 2002 04 5438·
 2002 03 2361·
 2002 02 8075·
 2002 01 1760·
 2001 12  4758.
 2001 11  2062.
 2001 10  8324·
 2001 09  5131.
 2001 08  1154·
 2001 07  4857.
 2001 06  9842.
 2001 05  2122.
 2001 04  842.
 2001 03  038.
 2001 02  4930·
 2001 01  8635·
 2000 12 2674.
 2000 11 9753.
 2000 10 8823.
 2000 09 2517·
 2000 08 7849.
 2000 07 8243·
 2000 06 8826.
 2000 05 4758·
 2000 04 39.
 2000 03 2337·
 2000 02 5247.
 2000 01 8347.
 1999 12  6230.
 1999 11  1736.
 1999 10  460·
 1999 09  8819.
 1999 08  4417·
 1999 07  8040·
 1999 06  9449·
 1999 05  4626.
 1999 04  6212.
 1999 03  5933.
 1999 02  9948.
 1999 01  6328·
 1998 12 5332·
 1998 11 2137·
 1998 10 1854·
 1998 09 6938.
 1998 08 8150.
 1998 07 6141·
 1998 06 7660.
 1998 05 2334·
 1998 04 3324·
 1998 03 9954·
 1998 02 2578.
 1998 01 555·
 1997 12  2268·
 1997 11  7769·
 1997 10  3941.
 1997 09  2236·
 1997 08  8730·
 1997 07  6634·
 1997 06  2052·
 1997 05  627.
 1997 04  8920·
 1997 03  6064·
 1997 02  9188·
 1997 01  1420.
 1996 12 1882.
 1996 11 7735.
 1996 10 545.
 1996 09 2712.
 1996 08 8533·
 1996 07 6218·
 1996 06 3568.
 1996 05 5113·
 1996 04 2918.
 1996 03 8443·
 1996 02 83125·
 1996 01 1941.
 1995 12  1261·
 1995 11  3741·
 1995 10  7440·
 1995 09  8722.
 1995 08  2377·
 1995 07  4038·
 1995 06  5880.
 1995 05  3751.
 1995 04  7428.
 1995 03  3858·
 1995 02  1173·
 1995 01  7459·
 1994 12 453·
 1994 11 9944.
 1994 10 3357·
 1994 09 3218·
 1994 08 7552·
 1994 07 1731·
 1994 06 4947.
 1994 05 6767.
 1994 04 7441·
 1994 03 1342.
 1994 02 11107·
 1994 01 5942·
 1993 12  1665·
 1993 11  2950.
 1993 10  9280·
 1993 09  1768·
 1993 08  3773.
 1993 07  3668.
 1993 06  9472.
 1993 05  7150·
 1993 04  245·
 1993 03  2759·
 1993 02  43100.
 1993 01  78110.
 1992 12 9683·
 1992 11 2178·
 1992 10 8777·
 1992 09 2062.
 1992 08 3569·
 1992 07 6268.
 1992 06 471·
 1992 05 447·
 1992 04 5469·
 1992 03 2150.
 1992 02 92123·
 1992 01 6070·
 1991 12  1872.
 1991 11  9066·
 1991 10  78106·
 1991 09  4680·
 1991 08  1458·
 1991 07  8892·
 1991 06  13101.
 1991 05  4472·
 1991 04  5561.
 1991 03  6185.
 1991 02  70158·
 1991 01  6087.
 1990 12 7994.
 1990 11 7866.
 1990 10 5178.
 1990 09 2542.
 1990 08 4961.
 1990 07 31112·
 1990 06 8256·
 1990 05 9644.
 1990 04 5361.
 1990 03 4154·
 1990 02 1275.
 1990 01 5677·
 1989 12  352·
 1989 11  5266·
 1989 10  1765.
 1989 09  1059·
 1989 08  3846·
 1989 07  3270·
 1989 06  9761.
 1989 05  9049·
 1989 04  2048.
 1989 03  7646.
 1989 02  7868·
 1989 01  5372·
 1988 12 3765.
 1988 11 348.
 1988 10 1048·
 1988 09 8031.
 1988 08 364.
 1988 07 5884·
 1988 06 6943·
 1988 05 7956·
 1988 04 5519·
 1988 03 949.
 1988 02 5494.
 1988 01 8056·
 1987 12  5556.
 1987 11  5057.
 1987 10  9239.
 1987 09  4149.
 1987 08  9365·
 1987 07  184.
 1987 06  3293·
 1987 05  4346·
 1987 04  8067.
 1987 03  563·
 1987 02  51133·
 1987 01  9394.
 1986 12 5574·
 1986 11 3382·
 1986 10 4774.
 1986 09 2287.
 1986 08 8065·
 1986 07 7768·
 1986 06 48104.
 1986 05 8676.
 1986 04 4454·
 1986 03 58114·
 1986 02 3102.
 1986 01 69110.
 1985 12  5978.
 1985 11  1983.
 1985 10  8892.
 1985 09  7658.
 1985 08  6397·
 1985 07  29109.
 1985 06  2125·
 1985 05  3856·
 1985 04  1988·
 1985 03  8383·
 1985 02  72116.
 1985 01  1390.
 1984 12 1672·
 1984 11 065·
 1984 10 4888.
 1984 09 83107.
 1984 08 6594·
 1984 07 2384·
 1984 06 564·
 1984 05 5351.
 1984 04 587·
 1984 03 2369·
 1984 02 4484.
 1984 01 5595.
 1983 12  9864·
 1983 11  9276·
 1983 10  8981.
 1983 09  4751·
 1983 08  33102·
 1983 07  51130.
 1983 06  92103.
 1983 05  993·
 1983 04  2384·
 1983 03  44111·
 1983 02  28164·
 1983 01  49133·
 1982 12 5122·
 1982 11 39107.
 1982 10 96138.
 1982 09 98104·
 1982 08 42125·
 1982 07 31101.
 1982 06 24127.
 1982 05 12103·
 1982 04 2295·
 1982 03 3895.
 1982 02 60149.
 1982 01 74127.
 1981 12  58105.
 1981 11  6122.
 1981 10  80104.
 1981 09  9076.
 1981 08  8878.
 1981 07  2131·
 1981 06  86116·
 1981 05  9194.
 1981 04  7597.
 1981 03  2293.
 1981 02  1131·
 1981 01  34116.
 1980 12 6120·
 1980 11 85110·
 1980 10 7770·
 1980 09 263·
 1980 08 95107·
 1980 07 34128.
 1980 06 88110·
 1980 05 99115.
 1980 04 7986·
 1980 03 3893·
 1980 02 36142·
 1980 01 59131.
 1979 12  2284.
 1979 11  9368·
 1979 10  4672.
 1979 09  3870·
 1979 08  1158.
 1979 07  1691·
 1979 06  6751.
 1979 05  1742·
 1979 04  5944.
 1979 03  5365·
 1979 02  7679.
 1979 01  4111.
 1978 12 469.
 1978 11 7255·
 1978 10 7374.
 1978 09 2845·
 1978 08 966.
 1978 07 6790·
 1978 06 8363·
 1978 05 4942·
 1978 04 6254·
 1978 03 5783.
 1978 02 5799.
 1978 01 4697.
 1977 12  7563·
 1977 11  8875·
 1977 10  7084·
 1977 09  2767·
 1977 08  8780·
 1977 07  27105·
 1977 06  2241.
 1977 05  2352.
 1977 04  6176.
 1977 03  6976.
 1977 02  38127.
 1977 01  91100.
 1976 12 8483.
 1976 11 3466.
 1976 10 7086·
 1976 09 1364·
 1976 08 6980·
 1976 07 64108.
 1976 06 93102·
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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

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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 5-6 weeks 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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