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 Series Title: Number Unemployed for 11-14 weeks 25-34 yrs. Male: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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Go to end of data set
 1976 06 270.
 1976 07 3274·
 1976 08 1785·
 1976 09 6571.
 1976 10 1170.
 1976 11 8976.
 1976 12 36117.
 1977 01  1994·
 1977 02  87137·
 1977 03  44111.
 1977 04  5666·
 1977 05  7252·
 1977 06  8059.
 1977 07  8048.
 1977 08  9062.
 1977 09  6865.
 1977 10  6460·
 1977 11  382·
 1977 12  7689.
 1978 01 75104.
 1978 02 42122.
 1978 03 44120.
 1978 04 7669.
 1978 05 8941·
 1978 06 3745.
 1978 07 6038·
 1978 08 7935.
 1978 09 2754·
 1978 10 036.
 1978 11 3257·
 1978 12 9755.
 1979 01  3572.
 1979 02  878.
 1979 03  68114·
 1979 04  6858.
 1979 05  8240·
 1979 06  5952·
 1979 07  9948.
 1979 08  5651·
 1979 09  6144.
 1979 10  8058.
 1979 11  8247·
 1979 12  4775.
 1980 01 9296.
 1980 02 20109·
 1980 03 97146.
 1980 04 56117·
 1980 05 19105.
 1980 06 56127.
 1980 07 53129.
 1980 08 19135.
 1980 09 11127·
 1980 10 87124·
 1980 11 80102.
 1980 12 070.
 1981 01  63118·
 1981 02  40168.
 1981 03  35162·
 1981 04  8692.
 1981 05  9285.
 1981 06  6477.
 1981 07  097·
 1981 08  9191·
 1981 09  45117·
 1981 10  3497.
 1981 11  82120.
 1981 12  53137.
 1982 01 88190.
 1982 02 52227.
 1982 03 11217.
 1982 04 34178.
 1982 05 18136.
 1982 06 43142·
 1982 07 46174.
 1982 08 21149·
 1982 09 52195·
 1982 10 56130.
 1982 11 66167·
 1982 12 29246·
 1983 01  36247.
 1983 02  68222·
 1983 03  80235·
 1983 04  95171·
 1983 05  37162·
 1983 06  79139·
 1983 07  18111·
 1983 08  82102.
 1983 09  5195·
 1983 10  13102·
 1983 11  38118·
 1983 12  77150.
 1984 01 97146·
 1984 02 23170.
 1984 03 20217·
 1984 04 94141.
 1984 05 18122·
 1984 06 8281.
 1984 07 7279·
 1984 08 7174.
 1984 09 8483·
 1984 10 9291·
 1984 11 2592·
 1984 12 70108·
 1985 01  8999.
 1985 02  77159.
 1985 03  36188·
 1985 04  79103·
 1985 05  5288·
 1985 06  8866·
 1985 07  8796.
 1985 08  1182.
 1985 09  1696.
 1985 10  177·
 1985 11  8494·
 1985 12  5104.
 1986 01 53121.
 1986 02 16168·
 1986 03 58171·
 1986 04 22125.
 1986 05 55103·
 1986 06 58110·
 1986 07 6797.
 1986 08 51150·
 1986 09 4191.
 1986 10 7796·
 1986 11 92141.
 1986 12 5151.
 1987 01  56165·
 1987 02  50143·
 1987 03  40151.
 1987 04  22115·
 1987 05  6980.
 1987 06  7671.
 1987 07  4171.
 1987 08  6496.
 1987 09  7480·
 1987 10  8190.
 1987 11  5480.
 1987 12  20114.
 1988 01 90145.
 1988 02 16126.
 1988 03 60138·
 1988 04 284·
 1988 05 6261·
 1988 06 5551.
 1988 07 6572·
 1988 08 4891·
 1988 09 5873.
 1988 10 9961·
 1988 11 069·
 1988 12 2199·
 1989 01  7293.
 1989 02  73122·
 1989 03  23174·
 1989 04  987·
 1989 05  2469.
 1989 06  2859.
 1989 07  1665·
 1989 08  2557·
 1989 09  5858.
 1989 10  3964·
 1989 11  8487·
 1989 12  658.
 1990 01 4499.
 1990 02 7142.
 1990 03 60147.
 1990 04 1795.
 1990 05 7461·
 1990 06 5788·
 1990 07 9988·
 1990 08 4499·
 1990 09 6895.
 1990 10 3996·
 1990 11 8591·
 1990 12 0111.
 1991 01  71133·
 1991 02  29219.
 1991 03  22248.
 1991 04  24150·
 1991 05  52112.
 1991 06  27104·
 1991 07  44105.
 1991 08  77142.
 1991 09  4150·
 1991 10  59145.
 1991 11  7121.
 1991 12  49138·
 1992 01 47183·
 1992 02 74207.
 1992 03 92238.
 1992 04 52172.
 1992 05 2590·
 1992 06 49118·
 1992 07 5102·
 1992 08 24137.
 1992 09 8106·
 1992 10 83115.
 1992 11 80137·
 1992 12 28115.
 1993 01  88132·
 1993 02  3191·
 1993 03  71206·
 1993 04  51122·
 1993 05  8686.
 1993 06  58117.
 1993 07  61133·
 1993 08  783.
 1993 09  4688.
 1993 10  2473.
 1993 11  5770.
 1993 12  33106·
 1994 01 36164.
 1994 02 1166.
 1994 03 90205.
 1994 04 92123·
 1994 05 5177·
 1994 06 1583.
 1994 07 1780·
 1994 08 7387·
 1994 09 1057·
 1994 10 1696·
 1994 11 1977.
 1994 12 88108·
 1995 01  5795.
 1995 02  79124·
 1995 03  3165.
 1995 04  75105.
 1995 05  6177.
 1995 06  587.
 1995 07  180·
 1995 08  97119.
 1995 09  1758·
 1995 10  2086·
 1995 11  7064·
 1995 12  41107·
 1996 01 43152.
 1996 02 73118·
 1996 03 90142·
 1996 04 21125·
 1996 05 84108·
 1996 06 4073.
 1996 07 6972·
 1996 08 7588.
 1996 09 988.
 1996 10 2171·
 1996 11 3877.
 1996 12 6584·
 1997 01  1293·
 1997 02  42138·
 1997 03  54189.
 1997 04  80108.
 1997 05  1135.
 1997 06  5346·
 1997 07  9954.
 1997 08  3280.
 1997 09  5368.
 1997 10  3052·
 1997 11  7940.
 1997 12  5964.
 1998 01 472.
 1998 02 73114·
 1998 03 2596·
 1998 04 2499·
 1998 05 6058.
 1998 06 747·
 1998 07 9577·
 1998 08 1553.
 1998 09 4056.
 1998 10 8373.
 1998 11 7169.
 1998 12 4459·
 1999 01  8768·
 1999 02  76111.
 1999 03  5888·
 1999 04  5159·
 1999 05  7241.
 1999 06  8641.
 1999 07  8880·
 1999 08  9751.
 1999 09  8748.
 1999 10  4063.
 1999 11  1832.
 1999 12  7052.
 2000 01 5363.
 2000 02 8797·
 2000 03 3194.
 2000 04 8464·
 2000 05 1345·
 2000 06 254.
 2000 07 3155.
 2000 08 7645·
 2000 09 3629·
 2000 10 8652.
 2000 11 5157.
 2000 12 942·
 2001 01  1899.
 2001 02  6585.
 2001 03  4897·
 2001 04  7181·
 2001 05  7679.
 2001 06  8964·
 2001 07  346·
 2001 08  7689.
 2001 09  5553.
 2001 10  3376·
 2001 11  2386·


 2001 12  59116·
 2002 01 24121.
 2002 02 98127.
 2002 03 40131·
 2002 04 86171.
 2002 05 7793·
 2002 06 8133·
 2002 07 1081·
 2002 08 43104.
 2002 09 3388·
 2002 10 1589.
 2002 11 1475·
 2002 12 44116.
 2003 01  38130·
 2003 02  94144.

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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