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 Series Title: Number Unemployed for 5-6 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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 2003 02  67102·
 2003 01  2278.
 2002 12 84102·
 2002 11 1462.
 2002 10 9391.
 2002 09 859.
 2002 08 4584·
 2002 07 2291·
 2002 06 36102.
 2002 05 4359.
 2002 04 5768·
 2002 03 7893·
 2002 02 45118·
 2002 01 785·
 2001 12  32110.
 2001 11  2887.
 2001 10  9649·
 2001 09  967.
 2001 08  992.
 2001 07  39112.
 2001 06  9093.
 2001 05  7955·
 2001 04  5169.
 2001 03  770·
 2001 02  5176·
 2001 01  7370.
 2000 12 45112·
 2000 11 4979.
 2000 10 3151·
 2000 09 7538·
 2000 08 576·
 2000 07 1198·
 2000 06 574·
 2000 05 9086·
 2000 04 6725.
 2000 03 6264.
 2000 02 72100·
 2000 01 5060.
 1999 12  9651.
 1999 11  9560·
 1999 10  6087.
 1999 09  1147·
 1999 08  7959·
 1999 07  3077.
 1999 06  1789.
 1999 05  5648·
 1999 04  2939.
 1999 03  1177·
 1999 02  1993·
 1999 01  9043·
 1998 12 8452·
 1998 11 763·
 1998 10 6791.
 1998 09 4655.
 1998 08 6102·
 1998 07 1276·
 1998 06 86107.
 1998 05 8086·
 1998 04 8452.
 1998 03 4673.
 1998 02 26121.
 1998 01 7478.
 1997 12  30101.
 1997 11  52104.
 1997 10  6369·
 1997 09  3565·
 1997 08  8377.
 1997 07  9969·
 1997 06  97127·
 1997 05  9378·
 1997 04  541·
 1997 03  8397.
 1997 02  54150·
 1997 01  638·
 1996 12 85129·
 1996 11 2168.
 1996 10 84105·
 1996 09 5642·
 1996 08 3487.
 1996 07 5867.
 1996 06 62110·
 1996 05 4835·
 1996 04 9139·
 1996 03 6486.
 1996 02 89181·
 1996 01 1565.
 1995 12  19105.
 1995 11  3299·
 1995 10  9090·
 1995 09  1462.
 1995 08  6125·
 1995 07  8193·
 1995 06  16136·
 1995 05  2591·
 1995 04  6548.
 1995 03  5694.
 1995 02  42122.
 1995 01  5691.
 1994 12 3377.
 1994 11 2677·
 1994 10 6883·
 1994 09 3843·
 1994 08 73118.
 1994 07 8582·
 1994 06 19117·
 1994 05 28100·
 1994 04 7357.
 1994 03 5283·
 1994 02 47161·
 1994 01 865·
 1993 12  47118.
 1993 11  71105·
 1993 10  26149.
 1993 09  83124.
 1993 08  32158·
 1993 07  11156.
 1993 06  57141·
 1993 05  87106.
 1993 04  9198·
 1993 03  66121·
 1993 02  66155.
 1993 01  75181.
 1992 12 12144·
 1992 11 57128.
 1992 10 2133·
 1992 09 28129·
 1992 08 7150·
 1992 07 26167·
 1992 06 41147.
 1992 05 5593·
 1992 04 15119.
 1992 03 43103·
 1992 02 84226·
 1992 01 86118·
 1991 12  98130·
 1991 11  2121·
 1991 10  55206.
 1991 09  78123·
 1991 08  45119.
 1991 07  22167·
 1991 06  6171.
 1991 05  12118·
 1991 04  69114.
 1991 03  47127·
 1991 02  11223·
 1991 01  96151·
 1990 12 6154·
 1990 11 47115·
 1990 10 71140.
 1990 09 60100.
 1990 08 21134.
 1990 07 15166.
 1990 06 12130·
 1990 05 6291·
 1990 04 0114·
 1990 03 71102·
 1990 02 84118·
 1990 01 8396.
 1989 12  5786·
 1989 11  59120·
 1989 10  61118.
 1989 09  3093.
 1989 08  3196.
 1989 07  48145·
 1989 06  46105.
 1989 05  3592·
 1989 04  8296.
 1989 03  3381.
 1989 02  62110.
 1989 01  54119·
 1988 12 1103.
 1988 11 3176.
 1988 10 6095.
 1988 09 6855.
 1988 08 98113·
 1988 07 88146·
 1988 06 1792.
 1988 05 85114.
 1988 04 1342.
 1988 03 72103.
 1988 02 31156·
 1988 01 35102.
 1987 12  9104·
 1987 11  79104·
 1987 10  29108.
 1987 09  77102·
 1987 08  72141.
 1987 07  26161·
 1987 06  61140·
 1987 05  90104.
 1987 04  16127·
 1987 03  58120·
 1987 02  2214.
 1987 01  83156·
 1986 12 79125.
 1986 11 44149.
 1986 10 53163·
 1986 09 86161.
 1986 08 24124·
 1986 07 78186·
 1986 06 39190·
 1986 05 57145.
 1986 04 39117.
 1986 03 80185.
 1986 02 11189.
 1986 01 76178·
 1985 12  36147·
 1985 11  93167.
 1985 10  43190·
 1985 09  51105·
 1985 08  54164·
 1985 07  87196·
 1985 06  37229·
 1985 05  13122.
 1985 04  55144.
 1985 03  56136.
 1985 02  17171.
 1985 01  18136·
 1984 12 27168·
 1984 11 19141·
 1984 10 34187·
 1984 09 49176·
 1984 08 83175·
 1984 07 20173·
 1984 06 64127.
 1984 05 1393·
 1984 04 61142·
 1984 03 28113.
 1984 02 6165.
 1984 01 39179·
 1983 12  25125.
 1983 11  38135·
 1983 10  87151.
 1983 09  87119.
 1983 08  61180.
 1983 07  68194·
 1983 06  57174·
 1983 05  36158·
 1983 04  82149·
 1983 03  63193·
 1983 02  90272·
 1983 01  94172·
 1982 12 27209·
 1982 11 92192.
 1982 10 88240·
 1982 09 92172.
 1982 08 59198·
 1982 07 48189·
 1982 06 75210.
 1982 05 87175·
 1982 04 65143·
 1982 03 52174·
 1982 02 3256·
 1982 01 60200.
 1981 12  58179.
 1981 11  47182.
 1981 10  46168·
 1981 09  19136.
 1981 08  77157·
 1981 07  3245·
 1981 06  5192·
 1981 05  95170.
 1981 04  83150.
 1981 03  12129·
 1981 02  6217.
 1981 01  44186·
 1980 12 65188·
 1980 11 96194·
 1980 10 98154.
 1980 09 48144·
 1980 08 36180.
 1980 07 97237.
 1980 06 58214.
 1980 05 14187·
 1980 04 34158·
 1980 03 86130·
 1980 02 84219·
 1980 01 73188.
 1979 12  22145·
 1979 11  55102·
 1979 10  4147.
 1979 09  82108.
 1979 08  86125.
 1979 07  25171.
 1979 06  6795·
 1979 05  2392.
 1979 04  4277.
 1979 03  39106·
 1979 02  49146·
 1979 01  2170.
 1978 12 25138·
 1978 11 66110.
 1978 10 50134·
 1978 09 52115.
 1978 08 0125.
 1978 07 1190.
 1978 06 95147·
 1978 05 28103.
 1978 04 53119·
 1978 03 63135.
 1978 02 35179.
 1978 01 12165·
 1977 12  99132.
 1977 11  96127.
 1977 10  46160.
 1977 09  11123·
 1977 08  74158.
 1977 07  69194.
 1977 06  27101·
 1977 05  5694.
 1977 04  42104.
 1977 03  76131.
 1977 02  4231.
 1977 01  5176.
 1976 12 91145·
 1976 11 37138.
 1976 10 28156·
 1976 09 38121·
 1976 08 33145.
 1976 07 95197·
 1976 06 73150.
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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.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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