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 Series Title: Number Unemployed for 7-10 weeks 20-24 yrs.: NSA (Thousands)
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 2003 02  92298.
 2003 01  5254·
 2002 12 44206·
 2002 11 9227·
 2002 10 30214.
 2002 09 33213·
 2002 08 50229.
 2002 07 43281·
 2002 06 52194.
 2002 05 78159·
 2002 04 77212·
 2002 03 94267·
 2002 02 11289.
 2002 01 21223.
 2001 12  36232·
 2001 11  7233·
 2001 10  80219.
 2001 09  70193·
 2001 08  65215·
 2001 07  50235·
 2001 06  60166·
 2001 05  56187·
 2001 04  28149.
 2001 03  18218.
 2001 02  77165·
 2001 01  36203·
 2000 12 12150.
 2000 11 30169·
 2000 10 81132·
 2000 09 91148.
 2000 08 30169·
 2000 07 30221.
 2000 06 47129·
 2000 05 29116.
 2000 04 20162·
 2000 03 88181·
 2000 02 77183.
 2000 01 80183.
 1999 12  44102.
 1999 11  97174.
 1999 10  94143·
 1999 09  1133.
 1999 08  92174·
 1999 07  76188.
 1999 06  50115.
 1999 05  75141·
 1999 04  75176.
 1999 03  70190·
 1999 02  20246·
 1999 01  7192.
 1998 12 32134.
 1998 11 48130.
 1998 10 5136·
 1998 09 29193·
 1998 08 26144·
 1998 07 4229·
 1998 06 29147.
 1998 05 98146.
 1998 04 43125·
 1998 03 57240·
 1998 02 43202·
 1998 01 96191.
 1997 12  98179·
 1997 11  51183·
 1997 10  23146·
 1997 09  29152.
 1997 08  29207.
 1997 07  56235·
 1997 06  69178.
 1997 05  29115.
 1997 04  97146.
 1997 03  65240.
 1997 02  7192.
 1997 01  52170·
 1996 12 91171·
 1996 11 98170.
 1996 10 86171·
 1996 09 80196.
 1996 08 23189·
 1996 07 98216·
 1996 06 82172·
 1996 05 20201·
 1996 04 33171.
 1996 03 36272.
 1996 02 95214.
 1996 01 4172·
 1995 12  82195·
 1995 11  4206·
 1995 10  52203·
 1995 09  87198·
 1995 08  59230.
 1995 07  23230·
 1995 06  2153.
 1995 05  53131·
 1995 04  76169.
 1995 03  36243·
 1995 02  20261.
 1995 01  6185·
 1994 12 71173·
 1994 11 13188·
 1994 10 8198.
 1994 09 80195·
 1994 08 7235·
 1994 07 48278.
 1994 06 90208·
 1994 05 30203·
 1994 04 72163.
 1994 03 59235.
 1994 02 17317·
 1994 01 38216·
 1993 12  80163.
 1993 11  91210·
 1993 10  64203·
 1993 09  11191.
 1993 08  67234.
 1993 07  13243·
 1993 06  32187·
 1993 05  81244.
 1993 04  97168·
 1993 03  19241·
 1993 02  45283·
 1993 01  4240.
 1992 12 57234.
 1992 11 29274·
 1992 10 56243·
 1992 09 61227.
 1992 08 61259·
 1992 07 86251·
 1992 06 38217·
 1992 05 60274·
 1992 04 46187·
 1992 03 60263·
 1992 02 92325·
 1992 01 32279.
 1991 12  76232.
 1991 11  45249·
 1991 10  44205.
 1991 09  34207·
 1991 08  37290.
 1991 07  59313.
 1991 06  43183·
 1991 05  47235·
 1991 04  44166·
 1991 03  48233.
 1991 02  67275.
 1991 01  79247·
 1990 12 34142·
 1990 11 80203·
 1990 10 14233.
 1990 09 60164.
 1990 08 69193·
 1990 07 49163·
 1990 06 10130.
 1990 05 47183.
 1990 04 38156.
 1990 03 74199.
 1990 02 5236·
 1990 01 22186.
 1989 12  54154·
 1989 11  0150.
 1989 10  76151·
 1989 09  91153.
 1989 08  55221·
 1989 07  96152·
 1989 06  22136.
 1989 05  87131.
 1989 04  2114·
 1989 03  56157.
 1989 02  68220·
 1989 01  66203·
 1988 12 85125.
 1988 11 99162·
 1988 10 66148.
 1988 09 9120·
 1988 08 17158.
 1988 07 69160.
 1988 06 90154.
 1988 05 23165.
 1988 04 34144.
 1988 03 36213.
 1988 02 41255.
 1988 01 40210·
 1987 12  0150·
 1987 11  92177.
 1987 10  45201.
 1987 09  17157·
 1987 08  3162·
 1987 07  59207.
 1987 06  51175.
 1987 05  34180.
 1987 04  56181.
 1987 03  79246·
 1987 02  35238.
 1987 01  99243.
 1986 12 96233.
 1986 11 22232.
 1986 10 97241·
 1986 09 44191.
 1986 08 87210.
 1986 07 82269.
 1986 06 64215·
 1986 05 24238·
 1986 04 17213.
 1986 03 78280·
 1986 02 84321.
 1986 01 22217.
 1985 12  97248.
 1985 11  55282.
 1985 10  34214·
 1985 09  45257·
 1985 08  67277·
 1985 07  81242·
 1985 06  15205.
 1985 05  23237.
 1985 04  89164.
 1985 03  51246.
 1985 02  50332.
 1985 01  14300·
 1984 12 51202.
 1984 11 83243.
 1984 10 92220.
 1984 09 99265.
 1984 08 66285·
 1984 07 22278·
 1984 06 14214.
 1984 05 84208.
 1984 04 71210·
 1984 03 37303.
 1984 02 18338·
 1984 01 3261·
 1983 12  31298.
 1983 11  23289.
 1983 10  29308.
 1983 09  10268·
 1983 08  31362·
 1983 07  97348.
 1983 06  98269.
 1983 05  88253·
 1983 04  86272·
 1983 03  5369.
 1983 02  99432·
 1983 01  43357.
 1982 12 34317·
 1982 11 16361.
 1982 10 34373.
 1982 09 8278.
 1982 08 37372·
 1982 07 23381.
 1982 06 26330·
 1982 05 38281·
 1982 04 82298.
 1982 03 46316.
 1982 02 28413.
 1982 01 15336.
 1981 12  84371·
 1981 11  30298·
 1981 10  14294.
 1981 09  46218·
 1981 08  80308·
 1981 07  42307.
 1981 06  85271·
 1981 05  63236·
 1981 04  32257.
 1981 03  77284.
 1981 02  66338.
 1981 01  22260.
 1980 12 29229·
 1980 11 55318.
 1980 10 8260·
 1980 09 5243.
 1980 08 84309.
 1980 07 20357·
 1980 06 85251·
 1980 05 19211·
 1980 04 34244·
 1980 03 40296.
 1980 02 98317·
 1980 01 94223·
 1979 12  42234.
 1979 11  10208·
 1979 10  74200·
 1979 09  89213·
 1979 08  97199.
 1979 07  49225·
 1979 06  61183·
 1979 05  83173·
 1979 04  10165.
 1979 03  2245·
 1979 02  35286·
 1979 01  85242·
 1978 12 21213·
 1978 11 36215·
 1978 10 98203·
 1978 09 26150.
 1978 08 92249.
 1978 07 47197·
 1978 06 74174.
 1978 05 62139.
 1978 04 10163·
 1978 03 53267·
 1978 02 13319·
 1978 01 75268·
 1977 12  89228.
 1977 11  99261.
 1977 10  91207.
 1977 09  71187·
 1977 08  67277.
 1977 07  54257·
 1977 06  9192.
 1977 05  83210.
 1977 04  6175.
 1977 03  12261.
 1977 02  91311.
 1977 01  66245·
 1976 12 94241·
 1976 11 92282.
 1976 10 89224·
 1976 09 4210.
 1976 08 45293·
 1976 07 38243.
 1976 06 77169.
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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 7-10 weeks 20-24 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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