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 Series Title: Number Unemployed for 5-6 weeks 20 yrs. & over Male: NSA (Thousands)
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 2003 02  85286.
 2003 01  12292·
 2002 12 82373·
 2002 11 71211·
 2002 10 82164·
 2002 09 18111·
 2002 08 85145.
 2002 07 20181·
 2002 06 38175·
 2002 05 15153·
 2002 04 83165·
 2002 03 61230.
 2002 02 5317.
 2002 01 86255·
 2001 12  88334.
 2001 11  39273·
 2001 10  59170.
 2001 09  38125·
 2001 08  39156·
 2001 07  22188·
 2001 06  98155.
 2001 05  2157·
 2001 04  98157.
 2001 03  6202.
 2001 02  49200·
 2001 01  34240.
 2000 12 54300·
 2000 11 8202.
 2000 10 6299·
 2000 09 17123.
 2000 08 18170·
 2000 07 74130.
 2000 06 12130.
 2000 05 58139·
 2000 04 30103.
 2000 03 71138.
 2000 02 0283·
 2000 01 86193·
 1999 12  51152·
 1999 11  95169·
 1999 10  52169.
 1999 09  6184·
 1999 08  70113·
 1999 07  65153.
 1999 06  17160·
 1999 05  62101·
 1999 04  092·
 1999 03  24174.
 1999 02  71218.
 1999 01  97182·
 1998 12 78191.
 1998 11 42199·
 1998 10 15183.
 1998 09 97110.
 1998 08 68161·
 1998 07 14165.
 1998 06 73145·
 1998 05 18134.
 1998 04 5784.
 1998 03 57192·
 1998 02 96284·
 1998 01 44151.
 1997 12  59274·
 1997 11  16203.
 1997 10  60163.
 1997 09  80109·
 1997 08  10142·
 1997 07  61107·
 1997 06  65164·
 1997 05  57117.
 1997 04  75110·
 1997 03  85260.
 1997 02  36288·
 1997 01  33156·
 1996 12 40311·
 1996 11 8186·
 1996 10 24188.
 1996 09 8976·
 1996 08 20138.
 1996 07 74125·
 1996 06 4210.
 1996 05 32131.
 1996 04 51131.
 1996 03 52222·
 1996 02 77357.
 1996 01 93202·
 1995 12  96272.
 1995 11  36197·
 1995 10  67226.
 1995 09  30113.
 1995 08  44220·
 1995 07  45124·
 1995 06  26227.
 1995 05  22198.
 1995 04  8113.
 1995 03  23247.
 1995 02  29314.
 1995 01  79192·
 1994 12 24267.
 1994 11 40207.
 1994 10 75199·
 1994 09 30105·
 1994 08 57196.
 1994 07 90130·
 1994 06 91145.
 1994 05 33203.
 1994 04 94144.
 1994 03 91224·
 1994 02 27448.
 1994 01 69217.
 1993 12  48267·
 1993 11  89303.
 1993 10  58311.
 1993 09  45280·
 1993 08  56324.
 1993 07  51247.
 1993 06  85264·
 1993 05  92240·
 1993 04  83192·
 1993 03  73315.
 1993 02  33411.
 1993 01  68340.
 1992 12 15345.
 1992 11 72337.
 1992 10 52303.
 1992 09 53346.
 1992 08 65275.
 1992 07 95305·
 1992 06 18261·
 1992 05 55249.
 1992 04 72294.
 1992 03 9275.
 1992 02 31510·
 1992 01 5404·
 1991 12  98388·
 1991 11  9318·
 1991 10  17338·
 1991 09  59297.
 1991 08  31260·
 1991 07  14322.
 1991 06  26326.
 1991 05  0279·
 1991 04  84332·
 1991 03  67348.
 1991 02  33485·
 1991 01  34420.
 1990 12 95394·
 1990 11 39340.
 1990 10 39261·
 1990 09 93232.
 1990 08 27238·
 1990 07 24339.
 1990 06 69198.
 1990 05 33279.
 1990 04 68274.
 1990 03 40236.
 1990 02 74326.
 1990 01 35356·
 1989 12  30249.
 1989 11  31250·
 1989 10  28225·
 1989 09  8204.
 1989 08  52203·
 1989 07  67229·
 1989 06  33197.
 1989 05  81227.
 1989 04  96282.
 1989 03  42241.
 1989 02  14309·
 1989 01  13324·
 1988 12 51336·
 1988 11 75275·
 1988 10 20247·
 1988 09 84172.
 1988 08 29239.
 1988 07 11276.
 1988 06 28164·
 1988 05 1233·
 1988 04 67195.
 1988 03 17233.
 1988 02 38383.
 1988 01 95363·
 1987 12  30264·
 1987 11  89256.
 1987 10  76250.
 1987 09  24194.
 1987 08  5262·
 1987 07  46226·
 1987 06  91290·
 1987 05  70176.
 1987 04  4250·
 1987 03  31280·
 1987 02  59430.
 1987 01  38372·
 1986 12 66313.
 1986 11 15329.
 1986 10 80273·
 1986 09 60263·
 1986 08 53244.
 1986 07 90277·
 1986 06 81292.
 1986 05 93275.
 1986 04 54292·
 1986 03 77343·
 1986 02 10438·
 1986 01 19370.
 1985 12  81370·
 1985 11  18237·
 1985 10  44276·
 1985 09  44252.
 1985 08  73278.
 1985 07  85340.
 1985 06  84327.
 1985 05  0239.
 1985 04  91278·
 1985 03  69315·
 1985 02  53372.
 1985 01  43375·
 1984 12 24325.
 1984 11 92278·
 1984 10 4273·
 1984 09 56292·
 1984 08 86264·
 1984 07 96278·
 1984 06 10216.
 1984 05 44222.
 1984 04 13256·
 1984 03 52270.
 1984 02 73367·
 1984 01 40378·
 1983 12  68357.
 1983 11  52295.
 1983 10  19276.
 1983 09  0269·
 1983 08  41335.
 1983 07  17313·
 1983 06  96263.
 1983 05  6285.
 1983 04  42311·
 1983 03  91386.
 1983 02  81534·
 1983 01  64455·
 1982 12 11413.
 1982 11 41394.
 1982 10 75444.
 1982 09 6357.
 1982 08 10373.
 1982 07 64422·
 1982 06 2353·
 1982 05 89312·
 1982 04 27320.
 1982 03 77354.
 1982 02 12458·
 1982 01 94457·
 1981 12  76436.
 1981 11  26385.
 1981 10  82289.
 1981 09  28232.
 1981 08  93266·
 1981 07  78289·
 1981 06  12246·
 1981 05  23249.
 1981 04  42258.
 1981 03  29271.
 1981 02  27363.
 1981 01  35340·
 1980 12 10346.
 1980 11 97274.
 1980 10 78232·
 1980 09 45232.
 1980 08 11265.
 1980 07 27377·
 1980 06 39300·
 1980 05 62285.
 1980 04 83264.
 1980 03 88272.
 1980 02 11347.
 1980 01 15322.
 1979 12  88246·
 1979 11  73204·
 1979 10  20173.
 1979 09  62188.
 1979 08  14194.
 1979 07  2243.
 1979 06  17167·
 1979 05  84149·
 1979 04  74164·
 1979 03  20224·
 1979 02  75291·
 1979 01  89301.
 1978 12 6231·
 1978 11 94167·
 1978 10 97170·
 1978 09 7136·
 1978 08 73204.
 1978 07 20187·
 1978 06 6149·
 1978 05 96149.
 1978 04 63179.
 1978 03 17199.
 1978 02 55244·
 1978 01 37309·
 1977 12  89206·
 1977 11  28234·
 1977 10  17234.
 1977 09  36163·
 1977 08  88240·
 1977 07  23253.
 1977 06  94154·
 1977 05  25176.
 1977 04  23164·
 1977 03  96220·
 1977 02  10356.
 1977 01  62352·
 1976 12 83259·
 1976 11 67214.
 1976 10 17232.
 1976 09 27219·
 1976 08 80232.
 1976 07 78248·
 1976 06 89249·
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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 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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