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 Series Title: Number Unemployed for 11-14 weeks 25-34 yrs. Male: NSA (Thousands)
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 1976 06 7870.
 1976 07 7274·
 1976 08 6285·
 1976 09 671·
 1976 10 8870·
 1976 11 9376.
 1976 12 7117.
 1977 01  4994·
 1977 02  15137·
 1977 03  62111.
 1977 04  366.
 1977 05  4052·
 1977 06  859·
 1977 07  6148.
 1977 08  6362.
 1977 09  2365.
 1977 10  4460.
 1977 11  9782·
 1977 12  2489·
 1978 01 69104·
 1978 02 22122·
 1978 03 1120·
 1978 04 5069·
 1978 05 7141.
 1978 06 6845.
 1978 07 3038.
 1978 08 2935·
 1978 09 4854.
 1978 10 3236·
 1978 11 6657·
 1978 12 7355·
 1979 01  4472·
 1979 02  9078·
 1979 03  15114.
 1979 04  2058·
 1979 05  2940·
 1979 06  4252·
 1979 07  948·
 1979 08  3351·
 1979 09  9744.
 1979 10  1458.
 1979 11  547.
 1979 12  175·
 1980 01 6696·
 1980 02 55109·
 1980 03 84146·
 1980 04 35117·
 1980 05 82105·
 1980 06 42127.
 1980 07 53129.
 1980 08 74135.
 1980 09 12127·
 1980 10 74124.
 1980 11 43102·
 1980 12 8170.
 1981 01  51118.
 1981 02  77168.
 1981 03  12162·
 1981 04  4392.
 1981 05  1985·
 1981 06  277·
 1981 07  4097.
 1981 08  7491·
 1981 09  60117.
 1981 10  2397.
 1981 11  35120·
 1981 12  11137·
 1982 01 42190·
 1982 02 42227·
 1982 03 28217·
 1982 04 17178·
 1982 05 60136·
 1982 06 83142.
 1982 07 75174.
 1982 08 81149.
 1982 09 32195·
 1982 10 98130.
 1982 11 59167.
 1982 12 15246·
 1983 01  4247.
 1983 02  60222.
 1983 03  86235·
 1983 04  56171·
 1983 05  44162·
 1983 06  72139·
 1983 07  88111·
 1983 08  69102.
 1983 09  4695.
 1983 10  57102.
 1983 11  20118·
 1983 12  40150·
 1984 01 30146·
 1984 02 67170.
 1984 03 66217·
 1984 04 83141·
 1984 05 40122·
 1984 06 7781.
 1984 07 3279.
 1984 08 3574.
 1984 09 4483.
 1984 10 8891·
 1984 11 4892·
 1984 12 60108.
 1985 01  3799·
 1985 02  24159.
 1985 03  72188.
 1985 04  45103·
 1985 05  3888·
 1985 06  3666.
 1985 07  8696.
 1985 08  382.
 1985 09  9196.
 1985 10  9977.
 1985 11  9694·
 1985 12  72104·
 1986 01 66121.
 1986 02 15168.
 1986 03 34171.
 1986 04 15125·
 1986 05 56103.
 1986 06 8110.
 1986 07 5697·
 1986 08 20150.
 1986 09 8091·
 1986 10 2896·
 1986 11 44141.
 1986 12 0151·
 1987 01  84165·
 1987 02  52143.
 1987 03  5151·
 1987 04  93115·
 1987 05  3580.
 1987 06  7971.
 1987 07  7071.
 1987 08  6196.
 1987 09  2880·
 1987 10  3490.
 1987 11  9780·
 1987 12  92114·
 1988 01 83145.
 1988 02 70126.
 1988 03 65138.
 1988 04 9984.
 1988 05 4361.
 1988 06 5951.
 1988 07 8372.
 1988 08 2191·
 1988 09 7773.
 1988 10 461·
 1988 11 8269.
 1988 12 2099·
 1989 01  8093.
 1989 02  29122·
 1989 03  19174·
 1989 04  8487.
 1989 05  7069·
 1989 06  8559·
 1989 07  7465.
 1989 08  2657·
 1989 09  9358·
 1989 10  4764·
 1989 11  5687·
 1989 12  8358·
 1990 01 1699.
 1990 02 15142·
 1990 03 95147·
 1990 04 1995·
 1990 05 3461·
 1990 06 1688.
 1990 07 4888.
 1990 08 2299.
 1990 09 6795·
 1990 10 9996·
 1990 11 9691.
 1990 12 4111·
 1991 01  59133·
 1991 02  40219·
 1991 03  48248.
 1991 04  4150·
 1991 05  77112.
 1991 06  39104·
 1991 07  33105·
 1991 08  83142.
 1991 09  18150·
 1991 10  21145.
 1991 11  8121.
 1991 12  31138.
 1992 01 99183·
 1992 02 37207.
 1992 03 56238.
 1992 04 59172·
 1992 05 6690·
 1992 06 63118·
 1992 07 83102·
 1992 08 7137·
 1992 09 86106.
 1992 10 98115·
 1992 11 21137.
 1992 12 36115·
 1993 01  55132.
 1993 02  68191·
 1993 03  26206·
 1993 04  35122·
 1993 05  9186·
 1993 06  24117·
 1993 07  79133·
 1993 08  1783.
 1993 09  3988.
 1993 10  4173·
 1993 11  8970·
 1993 12  19106.
 1994 01 67164·
 1994 02 19166·
 1994 03 85205.
 1994 04 4123.
 1994 05 7177.
 1994 06 8483·
 1994 07 2580.
 1994 08 6187.
 1994 09 6857·
 1994 10 8596·
 1994 11 9077.
 1994 12 1108.
 1995 01  395.
 1995 02  99124.
 1995 03  88165·
 1995 04  64105.
 1995 05  4677.
 1995 06  2687.
 1995 07  4980·
 1995 08  12119.
 1995 09  9058·
 1995 10  9186·
 1995 11  3164.
 1995 12  32107.
 1996 01 55152·
 1996 02 45118·
 1996 03 14142.
 1996 04 38125·
 1996 05 84108.
 1996 06 6373.
 1996 07 772.
 1996 08 6888·
 1996 09 4788·
 1996 10 4571.
 1996 11 3977.
 1996 12 8484.
 1997 01  3893·
 1997 02  17138.
 1997 03  68189·
 1997 04  74108.
 1997 05  7635·
 1997 06  2946.
 1997 07  7654·
 1997 08  5280.
 1997 09  568·
 1997 10  5752.
 1997 11  6940·
 1997 12  5464·
 1998 01 9572.
 1998 02 0114.
 1998 03 7996.
 1998 04 4599.
 1998 05 3958.
 1998 06 8547.
 1998 07 6377·
 1998 08 1253·
 1998 09 5756·
 1998 10 6273.
 1998 11 169·
 1998 12 6759.
 1999 01  9368.
 1999 02  6111·
 1999 03  288.
 1999 04  4959·
 1999 05  1641.
 1999 06  1741.
 1999 07  9580.
 1999 08  2151.
 1999 09  2048.
 1999 10  2163.
 1999 11  3932.
 1999 12  7052·
 2000 01 2363.
 2000 02 6897.
 2000 03 1494.
 2000 04 1064.
 2000 05 7245·
 2000 06 3554.
 2000 07 2855.
 2000 08 7845.
 2000 09 3429.
 2000 10 2052·
 2000 11 1157.
 2000 12 3742.
 2001 01  399·
 2001 02  5085·
 2001 03  2297·
 2001 04  7581·
 2001 05  079.
 2001 06  7464.
 2001 07  4046·
 2001 08  589.
 2001 09  6753.
 2001 10  6976·
 2001 11  7386.


 2001 12  64116·
 2002 01 74121·
 2002 02 34127·
 2002 03 53131·
 2002 04 17171·
 2002 05 1693.
 2002 06 96133·
 2002 07 3681·
 2002 08 50104·
 2002 09 1088·
 2002 10 489.
 2002 11 475·
 2002 12 76116·
 2003 01  3130·
 2003 02  33144·

Similar Series

Skip to Data / More Chart Options

US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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.
or alter the examples after this blank template.







      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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