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 Series Title: Number Unemployed for 11-14 weeks 25-34 yrs.: NSA (Thousands)
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 1976 06 60121.
 1976 07 5153·
 1976 08 2158.
 1976 09 42164.
 1976 10 38139.
 1976 11 7154·
 1976 12 68178·
 1977 01  69172.
 1977 02  39199.
 1977 03  64175·
 1977 04  91133·
 1977 05  51104.
 1977 06  12104·
 1977 07  5898·
 1977 08  84150·
 1977 09  32131·
 1977 10  34129·
 1977 11  94139.
 1977 12  85154.
 1978 01 82165·
 1978 02 5195.
 1978 03 5194.
 1978 04 57112.
 1978 05 9371·
 1978 06 5079.
 1978 07 4792.
 1978 08 8887·
 1978 09 86142.
 1978 10 1971.
 1978 11 2111.
 1978 12 90129·
 1979 01  5123.
 1979 02  89140.
 1979 03  77176.
 1979 04  2118·
 1979 05  1984·
 1979 06  59117·
 1979 07  3113.
 1979 08  86120.
 1979 09  21123·
 1979 10  54134·
 1979 11  36108.
 1979 12  30151·
 1980 01 32175.
 1980 02 25182.
 1980 03 60230·
 1980 04 48176.
 1980 05 94157·
 1980 06 49189.
 1980 07 79201.
 1980 08 76228·
 1980 09 78218·
 1980 10 23196.
 1980 11 26187.
 1980 12 79166.
 1981 01  78187·
 1981 02  76266.
 1981 03  58248·
 1981 04  43167.
 1981 05  12147·
 1981 06  55136·
 1981 07  55178.
 1981 08  82171.
 1981 09  24192.
 1981 10  38179·
 1981 11  25210·
 1981 12  34235·
 1982 01 85285·
 1982 02 25332.
 1982 03 0360.
 1982 04 61271·
 1982 05 88234.
 1982 06 40243·
 1982 07 36266·
 1982 08 52280·
 1982 09 52314·
 1982 10 34238.
 1982 11 14296.
 1982 12 19383·
 1983 01  21383.
 1983 02  83336·
 1983 03  41328.
 1983 04  0269.
 1983 05  64229.
 1983 06  87237.
 1983 07  49172.
 1983 08  58236.
 1983 09  76204.
 1983 10  72199.
 1983 11  95218·
 1983 12  82236·
 1984 01 76256·
 1984 02 87277·
 1984 03 60337.
 1984 04 83223·
 1984 05 8165.
 1984 06 9166·
 1984 07 51163.
 1984 08 0179·
 1984 09 41161.
 1984 10 37172.
 1984 11 99172.
 1984 12 95239.
 1985 01  69191·
 1985 02  96246·
 1985 03  62280.
 1985 04  57193.
 1985 05  11177·
 1985 06  39154.
 1985 07  20179.
 1985 08  99179·
 1985 09  12215·
 1985 10  39179·
 1985 11  80210.
 1985 12  57200.
 1986 01 40230.
 1986 02 97252.
 1986 03 75280·
 1986 04 96203.
 1986 05 90196·
 1986 06 39198.
 1986 07 60193.
 1986 08 3259·
 1986 09 81179.
 1986 10 14181·
 1986 11 17240·
 1986 12 91225·
 1987 01  56255·
 1987 02  99196·
 1987 03  54243·
 1987 04  98202.
 1987 05  86145.
 1987 06  94131.
 1987 07  1134.
 1987 08  87210·
 1987 09  64140·
 1987 10  24135·
 1987 11  15132.
 1987 12  46168.
 1988 01 10232.
 1988 02 39180·
 1988 03 78226.
 1988 04 86148.
 1988 05 67134·
 1988 06 15132·
 1988 07 96124.
 1988 08 48177·
 1988 09 5150.
 1988 10 52118.
 1988 11 2165·
 1988 12 92175·
 1989 01  17173·
 1989 02  76193·
 1989 03  51247·
 1989 04  8152·
 1989 05  24151.
 1989 06  38127.
 1989 07  26129·
 1989 08  8157.
 1989 09  69141·
 1989 10  11129.
 1989 11  33140.
 1989 12  30161.
 1990 01 21162·
 1990 02 97213.
 1990 03 4236.
 1990 04 37165·
 1990 05 74111.
 1990 06 22166·
 1990 07 95146·
 1990 08 17185.
 1990 09 48167.
 1990 10 35180·
 1990 11 88174·
 1990 12 82200·
 1991 01  87223·
 1991 02  12318.
 1991 03  89387·
 1991 04  71255.
 1991 05  59211.
 1991 06  54179·
 1991 07  31201·
 1991 08  47249.
 1991 09  60233.
 1991 10  85258.
 1991 11  70217·
 1991 12  97259.
 1992 01 7297.
 1992 02 56332.
 1992 03 87362·
 1992 04 34265·
 1992 05 46173·
 1992 06 43210.
 1992 07 90202·
 1992 08 96254·
 1992 09 45184·
 1992 10 46191.
 1992 11 9239.
 1992 12 46224·
 1993 01  99235·
 1993 02  91290·
 1993 03  2317·
 1993 04  72230·
 1993 05  26166·
 1993 06  27192.
 1993 07  50236·
 1993 08  87156·
 1993 09  71199·
 1993 10  30154.
 1993 11  59132.
 1993 12  28193·
 1994 01 3259.
 1994 02 0313.
 1994 03 62338.
 1994 04 59218·
 1994 05 16145·
 1994 06 64208.
 1994 07 15155.
 1994 08 68170·
 1994 09 30128.
 1994 10 71180.
 1994 11 0146.
 1994 12 67181.
 1995 01  87198·
 1995 02  96187·
 1995 03  23249.
 1995 04  94189.
 1995 05  59168.
 1995 06  41134·
 1995 07  16184·
 1995 08  12257·
 1995 09  38165·
 1995 10  30200.
 1995 11  36136·
 1995 12  10170.
 1996 01 43235.
 1996 02 14178·
 1996 03 63226·
 1996 04 99232.
 1996 05 20174.
 1996 06 68126·
 1996 07 6160·
 1996 08 18179·
 1996 09 37158·
 1996 10 93161.
 1996 11 95144.
 1996 12 30184·
 1997 01  87198.
 1997 02  14231.
 1997 03  88271.
 1997 04  23201·
 1997 05  92131·
 1997 06  81113·
 1997 07  65154.
 1997 08  8164·
 1997 09  93132·
 1997 10  70100·
 1997 11  3399.
 1997 12  26121·
 1998 01 62148.
 1998 02 81196.
 1998 03 25168.
 1998 04 37165.
 1998 05 91140·
 1998 06 4097·
 1998 07 97145·
 1998 08 31117.
 1998 09 0135·
 1998 10 97145·
 1998 11 29138.
 1998 12 20122.
 1999 01  33122.
 1999 02  27200·
 1999 03  30149.
 1999 04  42154·
 1999 05  5981·
 1999 06  3198.
 1999 07  30142.
 1999 08  59143.
 1999 09  73126.
 1999 10  34120·
 1999 11  8798·
 1999 12  6097.
 2000 01 93129.
 2000 02 87143·
 2000 03 82151.
 2000 04 58108.
 2000 05 64120.
 2000 06 64126·
 2000 07 2189.
 2000 08 91137·
 2000 09 54110.
 2000 10 6794.
 2000 11 36117·
 2000 12 2091.
 2001 01  59178.
 2001 02  21122·
 2001 03  84167·
 2001 04  35146.
 2001 05  96127·
 2001 06  76136.
 2001 07  47128.
 2001 08  49169·
 2001 09  11139·
 2001 10  7155·
 2001 11  31146·


 2001 12  98211·
 2002 01 72237·
 2002 02 15246.
 2002 03 67224·
 2002 04 46271.
 2002 05 73188·
 2002 06 25213·
 2002 07 13158·
 2002 08 81213·
 2002 09 34172·
 2002 10 88159·
 2002 11 50168·
 2002 12 16173·
 2003 01  99240.
 2003 02  79244·

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.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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