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 Series Title: Number Unemployed for 11-14 weeks 25-34 yrs. Male: NSA (Thousands)
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 2003 02  84144·
 2003 01  69130.
 2002 12 71116·
 2002 11 6475.
 2002 10 4189·
 2002 09 288·
 2002 08 45104.
 2002 07 081.
 2002 06 78133.
 2002 05 4693.
 2002 04 32171·
 2002 03 47131·
 2002 02 43127·
 2002 01 83121·
 2001 12  45116·
 2001 11  5086·
 2001 10  1376.
 2001 09  1953·
 2001 08  2289.
 2001 07  7746.
 2001 06  8864·
 2001 05  8579.
 2001 04  2681·
 2001 03  2397·
 2001 02  9485.
 2001 01  4099.
 2000 12 4642.
 2000 11 757.
 2000 10 8052.
 2000 09 6429·
 2000 08 9345·
 2000 07 7255·
 2000 06 2354.
 2000 05 6345.
 2000 04 664·
 2000 03 8894.
 2000 02 2297.
 2000 01 7063·
 1999 12  4752·
 1999 11  5032.
 1999 10  363.
 1999 09  4148.
 1999 08  551.
 1999 07  7680.
 1999 06  1641·
 1999 05  5741·
 1999 04  9359.
 1999 03  1088·
 1999 02  38111·
 1999 01  2668.
 1998 12 4859·
 1998 11 2269·
 1998 10 6773·
 1998 09 8056.
 1998 08 3353·
 1998 07 577·
 1998 06 3047·
 1998 05 7358.
 1998 04 3699·
 1998 03 7996.
 1998 02 76114·
 1998 01 8972·
 1997 12  7064·
 1997 11  8940·
 1997 10  8252·
 1997 09  3468·
 1997 08  7380.
 1997 07  254.
 1997 06  4846·
 1997 05  4035.
 1997 04  8108·
 1997 03  14189·
 1997 02  99138·
 1997 01  6393·
 1996 12 6384.
 1996 11 4377.
 1996 10 8571·
 1996 09 8488.
 1996 08 5088.
 1996 07 3472.
 1996 06 8373.
 1996 05 11108·
 1996 04 7125.
 1996 03 55142.
 1996 02 91118.
 1996 01 75152.
 1995 12  98107·
 1995 11  264.
 1995 10  3686·
 1995 09  3458.
 1995 08  10119.
 1995 07  9280·
 1995 06  6887·
 1995 05  6777.
 1995 04  56105·
 1995 03  70165·
 1995 02  63124.
 1995 01  8395·
 1994 12 74108·
 1994 11 677·
 1994 10 2096.
 1994 09 1257·
 1994 08 2787.
 1994 07 9380·
 1994 06 6683.
 1994 05 1177.
 1994 04 3123.
 1994 03 50205·
 1994 02 50166·
 1994 01 63164.
 1993 12  14106·
 1993 11  2270·
 1993 10  4873.
 1993 09  7388.
 1993 08  9983.
 1993 07  79133.
 1993 06  61117.
 1993 05  7386.
 1993 04  21122.
 1993 03  13206·
 1993 02  13191.
 1993 01  21132·
 1992 12 67115.
 1992 11 44137·
 1992 10 56115·
 1992 09 97106·
 1992 08 50137·
 1992 07 16102.
 1992 06 64118·
 1992 05 890.
 1992 04 8172.
 1992 03 99238·
 1992 02 38207.
 1992 01 86183.
 1991 12  4138.
 1991 11  86121·
 1991 10  3145·
 1991 09  87150·
 1991 08  26142·
 1991 07  97105·
 1991 06  10104·
 1991 05  93112·
 1991 04  87150·
 1991 03  76248.
 1991 02  35219·
 1991 01  12133·
 1990 12 25111.
 1990 11 9191·
 1990 10 7696·
 1990 09 7395.
 1990 08 299.
 1990 07 3888·
 1990 06 6188.
 1990 05 3561·
 1990 04 795·
 1990 03 35147.
 1990 02 39142·
 1990 01 7899.
 1989 12  5258·
 1989 11  2687·
 1989 10  8664·
 1989 09  1058·
 1989 08  7557.
 1989 07  8165.
 1989 06  159.
 1989 05  6169.
 1989 04  4087·
 1989 03  94174·
 1989 02  11122·
 1989 01  9093.
 1988 12 3399.
 1988 11 8369.
 1988 10 6761·
 1988 09 7673·
 1988 08 6991.
 1988 07 9372.
 1988 06 4251·
 1988 05 2761.
 1988 04 8484.
 1988 03 93138.
 1988 02 38126·
 1988 01 75145·
 1987 12  42114·
 1987 11  7880·
 1987 10  8090.
 1987 09  7680.
 1987 08  3096.
 1987 07  6671.
 1987 06  1871·
 1987 05  1280.
 1987 04  62115·
 1987 03  1151·
 1987 02  28143.
 1987 01  89165.
 1986 12 76151·
 1986 11 53141.
 1986 10 1096.
 1986 09 3991·
 1986 08 33150.
 1986 07 1697·
 1986 06 90110.
 1986 05 19103·
 1986 04 23125·
 1986 03 8171·
 1986 02 18168.
 1986 01 11121.
 1985 12  58104.
 1985 11  7594·
 1985 10  7077.
 1985 09  2096·
 1985 08  7682·
 1985 07  8596.
 1985 06  4566.
 1985 05  7988.
 1985 04  39103·
 1985 03  32188.
 1985 02  69159.
 1985 01  4499·
 1984 12 37108.
 1984 11 3692.
 1984 10 9391·
 1984 09 9783.
 1984 08 8174·
 1984 07 4079·
 1984 06 9181·
 1984 05 45122·
 1984 04 9141·
 1984 03 14217·
 1984 02 65170·
 1984 01 19146.
 1983 12  85150.
 1983 11  52118.
 1983 10  40102.
 1983 09  7695·
 1983 08  96102.
 1983 07  73111.
 1983 06  66139·
 1983 05  97162.
 1983 04  56171·
 1983 03  21235.
 1983 02  18222·
 1983 01  90247.
 1982 12 1246·
 1982 11 66167·
 1982 10 97130·
 1982 09 85195.
 1982 08 95149.
 1982 07 1174.
 1982 06 29142·
 1982 05 39136.
 1982 04 27178.
 1982 03 45217.
 1982 02 63227·
 1982 01 35190.
 1981 12  7137·
 1981 11  44120.
 1981 10  7597.
 1981 09  78117·
 1981 08  7691·
 1981 07  6597.
 1981 06  6677.
 1981 05  185.
 1981 04  9592.
 1981 03  3162·
 1981 02  60168.
 1981 01  59118.
 1980 12 5370.
 1980 11 77102.
 1980 10 9124·
 1980 09 36127·
 1980 08 61135.
 1980 07 32129·
 1980 06 87127.
 1980 05 36105.
 1980 04 59117·
 1980 03 36146.
 1980 02 96109·
 1980 01 9296·
 1979 12  975.
 1979 11  8447.
 1979 10  5958·
 1979 09  6144·
 1979 08  9951·
 1979 07  9448·
 1979 06  2952·
 1979 05  2440·
 1979 04  4258·
 1979 03  12114·
 1979 02  8078·
 1979 01  8872.
 1978 12 7655.
 1978 11 557.
 1978 10 1236·
 1978 09 8454·
 1978 08 6335·
 1978 07 6938.
 1978 06 5145.
 1978 05 7041.
 1978 04 9269·
 1978 03 21120.
 1978 02 48122.
 1978 01 26104·
 1977 12  7589.
 1977 11  782·
 1977 10  7760·
 1977 09  6065·
 1977 08  5162·
 1977 07  9648·
 1977 06  4059·
 1977 05  252·
 1977 04  8266·
 1977 03  82111·
 1977 02  61137.
 1977 01  1094·
 1976 12 56117.
 1976 11 8376.
 1976 10 9170·
 1976 09 6671.
 1976 08 8585.
 1976 07 4474·
 1976 06 570·
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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 11-14 weeks 25-34 yrs. 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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