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 Series Title: Number Unemployed for 7-10 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  91168·
 2003 01  71165.
 2002 12 44111·
 2002 11 86105·
 2002 10 0123·
 2002 09 89125·
 2002 08 59115.
 2002 07 47135.
 2002 06 69102.
 2002 05 9984.
 2002 04 70138·
 2002 03 1139·
 2002 02 49185·
 2002 01 82139·
 2001 12  88154.
 2001 11  91130·
 2001 10  14100.
 2001 09  47116·
 2001 08  5191.
 2001 07  87153·
 2001 06  6699·
 2001 05  23132.
 2001 04  2376.
 2001 03  83140·
 2001 02  2991.
 2001 01  68127.
 2000 12 9084.
 2000 11 98109·
 2000 10 5577.
 2000 09 6473.
 2000 08 6782.
 2000 07 76108.
 2000 06 1863.
 2000 05 1669.
 2000 04 9188.
 2000 03 8686.
 2000 02 1998·
 2000 01 58111·
 1999 12  2551·
 1999 11  2387·
 1999 10  8371·
 1999 09  4464.
 1999 08  5786.
 1999 07  580·
 1999 06  6057·
 1999 05  5868·
 1999 04  99104·
 1999 03  77114.
 1999 02  27130·
 1999 01  5100·
 1998 12 9079·
 1998 11 777·
 1998 10 8373·
 1998 09 1891·
 1998 08 9369·
 1998 07 91116·
 1998 06 5380·
 1998 05 5287·
 1998 04 9481.
 1998 03 47143·
 1998 02 89109·
 1998 01 90113.
 1997 12  8100.
 1997 11  1994.
 1997 10  6681·
 1997 09  3891.
 1997 08  72120·
 1997 07  76113.
 1997 06  8380·
 1997 05  2876.
 1997 04  4961.
 1997 03  13151.
 1997 02  67106.
 1997 01  1793.
 1996 12 2799.
 1996 11 4881.
 1996 10 6792.
 1996 09 8676.
 1996 08 1967.
 1996 07 2798.
 1996 06 6083.
 1996 05 41111.
 1996 04 63121·
 1996 03 17173.
 1996 02 45132.
 1996 01 15112.
 1995 12  21115·
 1995 11  13114.
 1995 10  48104.
 1995 09  6382·
 1995 08  81143·
 1995 07  3595·
 1995 06  1974.
 1995 05  6966.
 1995 04  5778·
 1995 03  26115·
 1995 02  34162.
 1995 01  38120.
 1994 12 86101·
 1994 11 5595·
 1994 10 93118·
 1994 09 190·
 1994 08 32131·
 1994 07 17133·
 1994 06 22115·
 1994 05 16128.
 1994 04 8174·
 1994 03 31147.
 1994 02 70204.
 1994 01 65124.
 1993 12  47103·
 1993 11  41101.
 1993 10  14116.
 1993 09  53119·
 1993 08  68126·
 1993 07  16109.
 1993 06  53110.
 1993 05  13140.
 1993 04  776.
 1993 03  50147·
 1993 02  14178.
 1993 01  1149·
 1992 12 51143.
 1992 11 63148.
 1992 10 45142·
 1992 09 99106.
 1992 08 14137·
 1992 07 97148.
 1992 06 24134·
 1992 05 14158·
 1992 04 34114·
 1992 03 24187.
 1992 02 49211·
 1992 01 76189·
 1991 12  72146·
 1991 11  36140·
 1991 10  48109.
 1991 09  43131·
 1991 08  18150.
 1991 07  54139·
 1991 06  6996.
 1991 05  96120·
 1991 04  84112·
 1991 03  20130.
 1991 02  89194·
 1991 01  43154.
 1990 12 799.
 1990 11 4108.
 1990 10 7137.
 1990 09 1478·
 1990 08 5292·
 1990 07 195·
 1990 06 5072.
 1990 05 6695·
 1990 04 597.
 1990 03 30124.
 1990 02 67175.
 1990 01 82112·
 1989 12  80104·
 1989 11  34103.
 1989 10  3488·
 1989 09  6683·
 1989 08  14135·
 1989 07  8280·
 1989 06  5162.
 1989 05  5360·
 1989 04  7162.
 1989 03  7086·
 1989 02  44123.
 1989 01  96109.
 1988 12 3848.
 1988 11 1589·
 1988 10 6385.
 1988 09 8063·
 1988 08 2889.
 1988 07 6396.
 1988 06 8490·
 1988 05 993·
 1988 04 7982·
 1988 03 82116.
 1988 02 7170·
 1988 01 17147.
 1987 12  5486.
 1987 11  6794·
 1987 10  5686.
 1987 09  5867.
 1987 08  4297·
 1987 07  36115·
 1987 06  8485·
 1987 05  1693.
 1987 04  5393.
 1987 03  34155.
 1987 02  65139·
 1987 01  96171.
 1986 12 28133.
 1986 11 30125·
 1986 10 99116.
 1986 09 31105·
 1986 08 2886·
 1986 07 18162.
 1986 06 11102.
 1986 05 77124·
 1986 04 41109·
 1986 03 17141.
 1986 02 53202·
 1986 01 15119.
 1985 12  81153·
 1985 11  71151.
 1985 10  096.
 1985 09  53145.
 1985 08  85147·
 1985 07  50128.
 1985 06  52116·
 1985 05  21133.
 1985 04  1581.
 1985 03  47146.
 1985 02  34197.
 1985 01  77179.
 1984 12 61114.
 1984 11 82120·
 1984 10 97127.
 1984 09 2143·
 1984 08 35143.
 1984 07 99157.
 1984 06 16106·
 1984 05 382·
 1984 04 75117·
 1984 03 67163.
 1984 02 92225·
 1984 01 12179·
 1983 12  43188.
 1983 11  80175.
 1983 10  49179·
 1983 09  84145.
 1983 08  27198.
 1983 07  57214.
 1983 06  39152.
 1983 05  2165.
 1983 04  42173·
 1983 03  43223.
 1983 02  37264·
 1983 01  73229·
 1982 12 23215·
 1982 11 6214.
 1982 10 43228·
 1982 09 28151·
 1982 08 35221.
 1982 07 42198·
 1982 06 82160·
 1982 05 23167·
 1982 04 64183.
 1982 03 67203.
 1982 02 5266·
 1982 01 41242·
 1981 12  25228·
 1981 11  28196·
 1981 10  88179·
 1981 09  87105·
 1981 08  55147·
 1981 07  93150.
 1981 06  30130·
 1981 05  94113·
 1981 04  16115·
 1981 03  57163.
 1981 02  58216.
 1981 01  19190·
 1980 12 97136·
 1980 11 37192·
 1980 10 21168·
 1980 09 42160·
 1980 08 11178.
 1980 07 80203·
 1980 06 94145·
 1980 05 70129.
 1980 04 95155.
 1980 03 53200.
 1980 02 79202.
 1980 01 36164·
 1979 12  12125.
 1979 11  5192·
 1979 10  1107.
 1979 09  96104.
 1979 08  5188.
 1979 07  92100.
 1979 06  1077.
 1979 05  3196·
 1979 04  2367.
 1979 03  22145.
 1979 02  81159.
 1979 01  48138·
 1978 12 68114·
 1978 11 9107.
 1978 10 1586·
 1978 09 7964·
 1978 08 48122.
 1978 07 4883·
 1978 06 3775.
 1978 05 8060·
 1978 04 5080·
 1978 03 57152·
 1978 02 98216·
 1978 01 33166·
 1977 12  88146·
 1977 11  81131·
 1977 10  73116.
 1977 09  4589·
 1977 08  0136.
 1977 07  88126.
 1977 06  6276.
 1977 05  47114·
 1977 04  4891.
 1977 03  74138.
 1977 02  91185·
 1977 01  96167·
 1976 12 20134·
 1976 11 57150.
 1976 10 10112.
 1976 09 73102·
 1976 08 30123.
 1976 07 81143.
 1976 06 9478.
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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. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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