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 Series Title: Number Unemployed for 7-10 weeks 20 yrs. & over Male: NSA (Thousands)
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 2003 02  93789.
 2003 01  67804·
 2002 12 94537.
 2002 11 26518·
 2002 10 41468.
 2002 09 17497·
 2002 08 36518·
 2002 07 8518.
 2002 06 24520.
 2002 05 35419·
 2002 04 47554·
 2002 03 56683.
 2002 02 92817·
 2002 01 1736.
 2001 12  41616·
 2001 11  16548·
 2001 10  22482·
 2001 09  22458·
 2001 08  56417.
 2001 07  57521·
 2001 06  12379.
 2001 05  31395.
 2001 04  54352·
 2001 03  73528·
 2001 02  89517.
 2001 01  84513·
 2000 12 23349·
 2000 11 83349.
 2000 10 3367·
 2000 09 62303.
 2000 08 76325.
 2000 07 31371.
 2000 06 30315·
 2000 05 72322.
 2000 04 51382·
 2000 03 86420·
 2000 02 69523.
 2000 01 45446.
 1999 12  11300.
 1999 11  42324·
 1999 10  47294·
 1999 09  40311.
 1999 08  44346·
 1999 07  20274·
 1999 06  13316.
 1999 05  36294·
 1999 04  62329.
 1999 03  61456·
 1999 02  44577·
 1999 01  40512·
 1998 12 4376·
 1998 11 37324·
 1998 10 38296.
 1998 09 85334.
 1998 08 33362·
 1998 07 40363.
 1998 06 23338·
 1998 05 27296.
 1998 04 36348.
 1998 03 91495·
 1998 02 47497·
 1998 01 48523·
 1997 12  26359·
 1997 11  33340·
 1997 10  87343.
 1997 09  53392·
 1997 08  41355.
 1997 07  35428·
 1997 06  43358.
 1997 05  76335·
 1997 04  44366.
 1997 03  92542·
 1997 02  41610.
 1997 01  72567·
 1996 12 24408·
 1996 11 22379.
 1996 10 30335·
 1996 09 23365·
 1996 08 92358·
 1996 07 71489·
 1996 06 86390·
 1996 05 35392·
 1996 04 86456·
 1996 03 6639.
 1996 02 10625·
 1996 01 41567.
 1995 12  71501·
 1995 11  22421.
 1995 10  27390.
 1995 09  98374·
 1995 08  32484·
 1995 07  39497.
 1995 06  87369.
 1995 05  85331.
 1995 04  84407·
 1995 03  99537·
 1995 02  65705·
 1995 01  12640.
 1994 12 65419·
 1994 11 74384·
 1994 10 63403.
 1994 09 8435.
 1994 08 36470.
 1994 07 56493·
 1994 06 5406·
 1994 05 30438·
 1994 04 87430.
 1994 03 65603·
 1994 02 42844·
 1994 01 61632.
 1993 12  29483.
 1993 11  44425·
 1993 10  50494·
 1993 09  7435.
 1993 08  1583·
 1993 07  64537·
 1993 06  27518.
 1993 05  0509·
 1993 04  66434.
 1993 03  18649.
 1993 02  1757.
 1993 01  95720.
 1992 12 12629.
 1992 11 26614.
 1992 10 22534.
 1992 09 75473·
 1992 08 51608·
 1992 07 30552·
 1992 06 64529.
 1992 05 47577.
 1992 04 21538·
 1992 03 2679·
 1992 02 28918·
 1992 01 42770·
 1991 12  86586.
 1991 11  34571.
 1991 10  40472.
 1991 09  16466.
 1991 08  33598·
 1991 07  46573·
 1991 06  50472·
 1991 05  52499.
 1991 04  75541·
 1991 03  83673.
 1991 02  34905.
 1991 01  56757.
 1990 12 50597.
 1990 11 12458·
 1990 10 91462·
 1990 09 60418·
 1990 08 20418·
 1990 07 29446.
 1990 06 47369.
 1990 05 19464·
 1990 04 75381.
 1990 03 52516·
 1990 02 53679.
 1990 01 17562·
 1989 12  26445.
 1989 11  26374.
 1989 10  83348.
 1989 09  59359·
 1989 08  11403·
 1989 07  19350.
 1989 06  39346.
 1989 05  78317.
 1989 04  94331·
 1989 03  27427·
 1989 02  46566.
 1989 01  29507.
 1988 12 62384·
 1988 11 67390.
 1988 10 54332.
 1988 09 95311.
 1988 08 29393.
 1988 07 85389.
 1988 06 38337.
 1988 05 82359·
 1988 04 31418·
 1988 03 49494.
 1988 02 0618·
 1988 01 22573.
 1987 12  32370.
 1987 11  54415.
 1987 10  63334.
 1987 09  71295·
 1987 08  21382·
 1987 07  18430·
 1987 06  79322·
 1987 05  11398·
 1987 04  9359·
 1987 03  86561·
 1987 02  23638·
 1987 01  49639.
 1986 12 34548.
 1986 11 26524.
 1986 10 96472·
 1986 09 16478·
 1986 08 60443.
 1986 07 34568·
 1986 06 23509·
 1986 05 69442.
 1986 04 75455.
 1986 03 28565.
 1986 02 53727.
 1986 01 90588·
 1985 12  91523·
 1985 11  52530·
 1985 10  64414·
 1985 09  85453.
 1985 08  46496.
 1985 07  76445·
 1985 06  54397·
 1985 05  86395·
 1985 04  3430·
 1985 03  93521·
 1985 02  50719.
 1985 01  49673.
 1984 12 50534.
 1984 11 23453.
 1984 10 2425·
 1984 09 56428·
 1984 08 0460·
 1984 07 10432.
 1984 06 84363.
 1984 05 15335·
 1984 04 90445.
 1984 03 23503.
 1984 02 99700·
 1984 01 56626.
 1983 12  85551·
 1983 11  56555.
 1983 10  70536·
 1983 09  36504.
 1983 08  71552·
 1983 07  28538·
 1983 06  49451.
 1983 05  36513.
 1983 04  61638.
 1983 03  84739·
 1983 02  10886.
 1983 01  64796·
 1982 12 94796.
 1982 11 92753.
 1982 10 55668·
 1982 09 51539·
 1982 08 31684.
 1982 07 47614.
 1982 06 8557·
 1982 05 54535.
 1982 04 62574.
 1982 03 68689.
 1982 02 20849·
 1982 01 54834.
 1981 12  99689.
 1981 11  99571.
 1981 10  66491·
 1981 09  58353.
 1981 08  80425·
 1981 07  9466·
 1981 06  47382.
 1981 05  98379.
 1981 04  67371.
 1981 03  92463·
 1981 02  88658·
 1981 01  29556·
 1980 12 50411.
 1980 11 68433·
 1980 10 39416.
 1980 09 35424·
 1980 08 39587·
 1980 07 80559.
 1980 06 77499·
 1980 05 21415.
 1980 04 75408·
 1980 03 98503·
 1980 02 1632·
 1980 01 19475·
 1979 12  18362·
 1979 11  15319·
 1979 10  36310·
 1979 09  86317.
 1979 08  58273.
 1979 07  52288·
 1979 06  33234.
 1979 05  4259·
 1979 04  7263·
 1979 03  52374.
 1979 02  68537.
 1979 01  78413.
 1978 12 3372·
 1978 11 84315·
 1978 10 41257·
 1978 09 41267.
 1978 08 8340.
 1978 07 43245·
 1978 06 77259·
 1978 05 50197·
 1978 04 12229.
 1978 03 47374.
 1978 02 26624.
 1978 01 86474·
 1977 12  26356·
 1977 11  40343·
 1977 10  64320.
 1977 09  55282.
 1977 08  89352.
 1977 07  93321.
 1977 06  92233.
 1977 05  89340·
 1977 04  63305.
 1977 03  98448.
 1977 02  35609.
 1977 01  45514.
 1976 12 37407·
 1976 11 76416·
 1976 10 43327.
 1976 09 5302.
 1976 08 22376·
 1976 07 70386·
 1976 06 91289.
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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 yrs. & over Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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