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 Series Title: Number Unemployed for 11-14 yrs. weeks 20 yrs. & over Male: NSA (Thousands)
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 2003 02  74593·
 2003 01  44449·
 2002 12 82410·
 2002 11 28353·
 2002 10 46348.
 2002 09 3390.
 2002 08 67414·
 2002 07 37326.
 2002 06 91366·
 2002 05 67311·
 2002 04 60505.
 2002 03 51528·
 2002 02 59519·
 2002 01 17482.
 2001 12  72420.
 2001 11  14326·
 2001 10  26294·
 2001 09  61279.
 2001 08  43332.
 2001 07  96236·
 2001 06  91296.
 2001 05  29234·
 2001 04  34328.
 2001 03  89368·
 2001 02  81363.
 2001 01  78300·
 2000 12 34181.
 2000 11 14198·
 2000 10 45170·
 2000 09 90180.
 2000 08 56170·
 2000 07 15186.
 2000 06 59192.
 2000 05 72192.
 2000 04 37222·
 2000 03 61318.
 2000 02 23346.
 2000 01 55217·
 1999 12  41202·
 1999 11  45157·
 1999 10  63213.
 1999 09  95195·
 1999 08  55214·
 1999 07  88218.
 1999 06  29183.
 1999 05  76200.
 1999 04  92284·
 1999 03  32377·
 1999 02  96346·
 1999 01  2320.
 1998 12 90219.
 1998 11 48222·
 1998 10 66193.
 1998 09 6203·
 1998 08 12268·
 1998 07 30235·
 1998 06 62152·
 1998 05 45197.
 1998 04 46290·
 1998 03 96335.
 1998 02 37332·
 1998 01 99327.
 1997 12  5251.
 1997 11  91207.
 1997 10  64222·
 1997 09  77242·
 1997 08  26303.
 1997 07  83225·
 1997 06  45208·
 1997 05  8168·
 1997 04  73369·
 1997 03  68450·
 1997 02  5453·
 1997 01  51394.
 1996 12 33261.
 1996 11 64261·
 1996 10 94247·
 1996 09 86306.
 1996 08 20305·
 1996 07 15268.
 1996 06 87222.
 1996 05 20324.
 1996 04 70350·
 1996 03 91389.
 1996 02 86435.
 1996 01 86438.
 1995 12  48329.
 1995 11  85304·
 1995 10  15234·
 1995 09  39297·
 1995 08  41323.
 1995 07  17285·
 1995 06  25239·
 1995 05  61277·
 1995 04  61396·
 1995 03  31482·
 1995 02  91364·
 1995 01  58301.
 1994 12 48271.
 1994 11 96246.
 1994 10 13302·
 1994 09 64264·
 1994 08 63333·
 1994 07 5301.
 1994 06 18290·
 1994 05 33278.
 1994 04 94352·
 1994 03 80594·
 1994 02 55488·
 1994 01 48444·
 1993 12  55326.
 1993 11  62294.
 1993 10  99262.
 1993 09  16289·
 1993 08  84265·
 1993 07  23317.
 1993 06  52321·
 1993 05  67282·
 1993 04  42414.
 1993 03  55649.
 1993 02  38572·
 1993 01  59440.
 1992 12 19390·
 1992 11 77397.
 1992 10 8286·
 1992 09 74357.
 1992 08 26381.
 1992 07 35321.
 1992 06 38307.
 1992 05 17337.
 1992 04 3455.
 1992 03 97626·
 1992 02 27627.
 1992 01 21517·
 1991 12  11442.
 1991 11  57339.
 1991 10  1349.
 1991 09  42386.
 1991 08  39356·
 1991 07  35331·
 1991 06  11342.
 1991 05  63388·
 1991 04  99445.
 1991 03  74715.
 1991 02  32597·
 1991 01  88427·
 1990 12 30383·
 1990 11 44296·
 1990 10 64249.
 1990 09 51276·
 1990 08 95259·
 1990 07 39237.
 1990 06 32260·
 1990 05 7213.
 1990 04 80315·
 1990 03 77424.
 1990 02 88408·
 1990 01 39316.
 1989 12  0223·
 1989 11  4270.
 1989 10  6199.
 1989 09  53195.
 1989 08  91231·
 1989 07  88188.
 1989 06  87169.
 1989 05  81188.
 1989 04  18253.
 1989 03  23391.
 1989 02  56349.
 1989 01  79279.
 1988 12 67267·
 1988 11 29186·
 1988 10 63170·
 1988 09 29213·
 1988 08 52240.
 1988 07 50215.
 1988 06 85202·
 1988 05 37150·
 1988 04 10216·
 1988 03 55423·
 1988 02 21355·
 1988 01 36369.
 1987 12  5281·
 1987 11  37235.
 1987 10  97226.
 1987 09  82215·
 1987 08  24256·
 1987 07  17238.
 1987 06  63209.
 1987 05  56250.
 1987 04  81332·
 1987 03  37496.
 1987 02  94424.
 1987 01  66428.
 1986 12 13340.
 1986 11 68327·
 1986 10 92249·
 1986 09 42246·
 1986 08 82351.
 1986 07 4246·
 1986 06 81268.
 1986 05 42277.
 1986 04 78347·
 1986 03 63522.
 1986 02 11439·
 1986 01 47377.
 1985 12  12332·
 1985 11  91242·
 1985 10  59244·
 1985 09  64265.
 1985 08  23251.
 1985 07  55278·
 1985 06  24238·
 1985 05  24248·
 1985 04  74321·
 1985 03  50515·
 1985 02  32404.
 1985 01  84333·
 1984 12 52331·
 1984 11 95282.
 1984 10 33232.
 1984 09 25245.
 1984 08 71276.
 1984 07 35263·
 1984 06 3246·
 1984 05 55294.
 1984 04 67366.
 1984 03 38499.
 1984 02 43470.
 1984 01 6393.
 1983 12  5370.
 1983 11  99314·
 1983 10  76290.
 1983 09  32300.
 1983 08  72353.
 1983 07  37329.
 1983 06  55358.
 1983 05  17401.
 1983 04  81464·
 1983 03  96654·
 1983 02  53641.
 1983 01  67645·
 1982 12 70606.
 1982 11 44516·
 1982 10 73376.
 1982 09 13504·
 1982 08 1415·
 1982 07 77420.
 1982 06 38398·
 1982 05 12393·
 1982 04 63481·
 1982 03 14688·
 1982 02 0651·
 1982 01 46504.
 1981 12  68415·
 1981 11  97341.
 1981 10  33230·
 1981 09  22312·
 1981 08  55290·
 1981 07  98229.
 1981 06  39205.
 1981 05  71232.
 1981 04  86273·
 1981 03  9508·
 1981 02  43423·
 1981 01  49355·
 1980 12 50267.
 1980 11 50297·
 1980 10 94306.
 1980 09 39380·
 1980 08 58407·
 1980 07 65361.
 1980 06 69347.
 1980 05 47289.
 1980 04 49310·
 1980 03 23427·
 1980 02 67357.
 1980 01 4271.
 1979 12  86248.
 1979 11  19157.
 1979 10  15202.
 1979 09  68188·
 1979 08  57187.
 1979 07  71188·
 1979 06  62148·
 1979 05  20167·
 1979 04  74221·
 1979 03  24359·
 1979 02  84304.
 1979 01  66229·
 1978 12 76193·
 1978 11 46172·
 1978 10 82128.
 1978 09 38185.
 1978 08 26143·
 1978 07 33174·
 1978 06 80160·
 1978 05 93173·
 1978 04 10204·
 1978 03 2394·
 1978 02 29352.
 1978 01 13263·
 1977 12  43264·
 1977 11  99205·
 1977 10  5175·
 1977 09  4173.
 1977 08  62208.
 1977 07  92165.
 1977 06  7183·
 1977 05  97182·
 1977 04  30260.
 1977 03  75423.
 1977 02  62430·
 1977 01  50296·
 1976 12 34330·
 1976 11 68239.
 1976 10 20206·
 1976 09 45237.
 1976 08 89244.
 1976 07 15242·
 1976 06 55199.
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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 11-14 yrs. weeks 20 yrs. & over Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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