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 Series Title: Number Unemployed for 7-10 weeks 20 yrs. & overFemale: NSA (Thousands)
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 2003 02  21508·
 2003 01  15451.
 2002 12 29425·
 2002 11 95473·
 2002 10 73462·
 2002 09 21440.
 2002 08 3571.
 2002 07 11544.
 2002 06 16449·
 2002 05 51415·
 2002 04 4437·
 2002 03 50492·
 2002 02 2488·
 2002 01 86495·
 2001 12  43460.
 2001 11  57472·
 2001 10  4449.
 2001 09  32426·
 2001 08  58523.
 2001 07  0399.
 2001 06  24336·
 2001 05  22301·
 2001 04  14303·
 2001 03  75443.
 2001 02  87348·
 2001 01  11358.
 2000 12 97332·
 2000 11 0330·
 2000 10 43291.
 2000 09 83341·
 2000 08 20517.
 2000 07 20426·
 2000 06 68259·
 2000 05 43288.
 2000 04 21347.
 2000 03 3407.
 2000 02 61374·
 2000 01 22423.
 1999 12  64274.
 1999 11  43357·
 1999 10  50294·
 1999 09  79354·
 1999 08  35460·
 1999 07  61433.
 1999 06  83262.
 1999 05  93299.
 1999 04  49272.
 1999 03  99370·
 1999 02  36394.
 1999 01  73403·
 1998 12 42300·
 1998 11 27323.
 1998 10 10251·
 1998 09 48415·
 1998 08 78448·
 1998 07 40469.
 1998 06 30327·
 1998 05 78315.
 1998 04 45313.
 1998 03 56452·
 1998 02 47360·
 1998 01 41381·
 1997 12  55343.
 1997 11  20409.
 1997 10  35297·
 1997 09  47379·
 1997 08  47475.
 1997 07  0437·
 1997 06  95352.
 1997 05  25320.
 1997 04  82381.
 1997 03  90436·
 1997 02  54489·
 1997 01  33439.
 1996 12 50398·
 1996 11 11409·
 1996 10 60349·
 1996 09 53449.
 1996 08 63479.
 1996 07 6524·
 1996 06 89307.
 1996 05 90329·
 1996 04 59324·
 1996 03 44425.
 1996 02 42452·
 1996 01 77397.
 1995 12  1414·
 1995 11  19423.
 1995 10  44386.
 1995 09  71430·
 1995 08  76452·
 1995 07  51559·
 1995 06  46347.
 1995 05  52313.
 1995 04  99442.
 1995 03  84425.
 1995 02  23420.
 1995 01  28422.
 1994 12 5351.
 1994 11 86412.
 1994 10 75390.
 1994 09 30469·
 1994 08 59583.
 1994 07 52493.
 1994 06 28344·
 1994 05 15354·
 1994 04 48383.
 1994 03 1484·
 1994 02 32484·
 1994 01 64436.
 1993 12  86402.
 1993 11  77478·
 1993 10  62415·
 1993 09  85454·
 1993 08  9558·
 1993 07  50489·
 1993 06  20406.
 1993 05  8370·
 1993 04  82368·
 1993 03  13417.
 1993 02  29455·
 1993 01  91439·
 1992 12 91420·
 1992 11 86451.
 1992 10 42487.
 1992 09 14488·
 1992 08 50527·
 1992 07 12423.
 1992 06 32405.
 1992 05 86388·
 1992 04 97398·
 1992 03 62427·
 1992 02 1534·
 1992 01 37446.
 1991 12  94432.
 1991 11  28471.
 1991 10  73461.
 1991 09  23411.
 1991 08  30543.
 1991 07  30523.
 1991 06  0430.
 1991 05  28431·
 1991 04  17367.
 1991 03  13468.
 1991 02  57474·
 1991 01  56417·
 1990 12 93416·
 1990 11 46423·
 1990 10 43433·
 1990 09 41403.
 1990 08 21409·
 1990 07 21358·
 1990 06 85297.
 1990 05 38359.
 1990 04 89314·
 1990 03 60380.
 1990 02 33372.
 1990 01 29374.
 1989 12  10289·
 1989 11  5351·
 1989 10  62371·
 1989 09  21316.
 1989 08  22401.
 1989 07  27362·
 1989 06  72295·
 1989 05  45303.
 1989 04  87332·
 1989 03  18329.
 1989 02  89381·
 1989 01  59360.
 1988 12 94309.
 1988 11 99343.
 1988 10 64348·
 1988 09 43281·
 1988 08 56360·
 1988 07 14356·
 1988 06 72283·
 1988 05 5318·
 1988 04 9279.
 1988 03 30341·
 1988 02 12406.
 1988 01 75309·
 1987 12  18363.
 1987 11  44360.
 1987 10  11406·
 1987 09  12354·
 1987 08  70401.
 1987 07  73406·
 1987 06  19339·
 1987 05  95316·
 1987 04  78290·
 1987 03  63422.
 1987 02  12451.
 1987 01  33365.
 1986 12 80380.
 1986 11 81453.
 1986 10 89470.
 1986 09 56395·
 1986 08 39485.
 1986 07 23428.
 1986 06 76418·
 1986 05 21435·
 1986 04 42393·
 1986 03 8489·
 1986 02 24491·
 1986 01 10366·
 1985 12  3416·
 1985 11  78452·
 1985 10  7428·
 1985 09  30412·
 1985 08  59578·
 1985 07  5410·
 1985 06  27367.
 1985 05  12423.
 1985 04  74358·
 1985 03  81431.
 1985 02  8474·
 1985 01  13420.
 1984 12 35421·
 1984 11 26467·
 1984 10 2392·
 1984 09 14431·
 1984 08 55448·
 1984 07 85407·
 1984 06 83333.
 1984 05 22353·
 1984 04 72354·
 1984 03 26448·
 1984 02 51427.
 1984 01 68375·
 1983 12  48408·
 1983 11  43443.
 1983 10  33395·
 1983 09  11394·
 1983 08  73545.
 1983 07  55447·
 1983 06  79374.
 1983 05  30348·
 1983 04  58370·
 1983 03  8469·
 1983 02  64534·
 1983 01  32479.
 1982 12 42496·
 1982 11 69586·
 1982 10 87559.
 1982 09 50487·
 1982 08 88544.
 1982 07 33608.
 1982 06 76502·
 1982 05 40426·
 1982 04 82428·
 1982 03 19434.
 1982 02 80496.
 1982 01 84389·
 1981 12  39495·
 1981 11  71433·
 1981 10  74418.
 1981 09  88378·
 1981 08  96521·
 1981 07  59436·
 1981 06  60338·
 1981 05  83380·
 1981 04  16400·
 1981 03  76422.
 1981 02  62409.
 1981 01  27303·
 1980 12 87358.
 1980 11 42407.
 1980 10 30365.
 1980 09 1305.
 1980 08 22468.
 1980 07 1461.
 1980 06 41379.
 1980 05 12313·
 1980 04 58270·
 1980 03 22353·
 1980 02 94359.
 1980 01 91267.
 1979 12  59357.
 1979 11  99378·
 1979 10  15317·
 1979 09  95338·
 1979 08  13385.
 1979 07  51375.
 1979 06  54265·
 1979 05  6272·
 1979 04  32294.
 1979 03  22350·
 1979 02  87373·
 1979 01  30327.
 1978 12 54312·
 1978 11 82343·
 1978 10 14344·
 1978 09 99259.
 1978 08 42446.
 1978 07 25310·
 1978 06 60295·
 1978 05 70251·
 1978 04 85242.
 1978 03 69306.
 1978 02 77321.
 1978 01 24311·
 1977 12  94325.
 1977 11  59405·
 1977 10  38314.
 1977 09  68339.
 1977 08  8439.
 1977 07  65348·
 1977 06  45299.
 1977 05  33282.
 1977 04  90286·
 1977 03  79385·
 1977 02  24421·
 1977 01  77340.
 1976 12 27375·
 1976 11 22403.
 1976 10 23381·
 1976 09 80347.
 1976 08 33476·
 1976 07 38329.
 1976 06 20279.
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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 yrs. & overFemale: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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