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 Series Title: Number Unemployed for 11-14 weeks 25-34 yrs.: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 49121·
 1976 07 87153.
 1976 08 82158.
 1976 09 36164.
 1976 10 75139·
 1976 11 29154·
 1976 12 28178·
 1977 01  34172·
 1977 02  87199·
 1977 03  88175.
 1977 04  94133·
 1977 05  49104.
 1977 06  34104.
 1977 07  4598.
 1977 08  91150·
 1977 09  25131.
 1977 10  92129·
 1977 11  8139.
 1977 12  60154.
 1978 01 33165.
 1978 02 62195.
 1978 03 8194.
 1978 04 62112.
 1978 05 6571.
 1978 06 6879·
 1978 07 292·
 1978 08 8587·
 1978 09 41142·
 1978 10 6171·
 1978 11 72111.
 1978 12 42129·
 1979 01  5123·
 1979 02  16140.
 1979 03  23176.
 1979 04  71118.
 1979 05  2784·
 1979 06  35117·
 1979 07  88113.
 1979 08  35120·
 1979 09  0123·
 1979 10  41134·
 1979 11  24108.
 1979 12  21151.
 1980 01 43175.
 1980 02 86182.
 1980 03 11230·
 1980 04 44176.
 1980 05 1157.
 1980 06 46189.
 1980 07 57201.
 1980 08 40228·
 1980 09 43218·
 1980 10 19196·
 1980 11 94187·
 1980 12 72166·
 1981 01  63187.
 1981 02  32266·
 1981 03  77248·
 1981 04  29167.
 1981 05  80147.
 1981 06  36136.
 1981 07  89178.
 1981 08  23171.
 1981 09  39192·
 1981 10  5179·
 1981 11  36210.
 1981 12  92235.
 1982 01 7285.
 1982 02 40332.
 1982 03 50360·
 1982 04 99271.
 1982 05 80234.
 1982 06 66243·
 1982 07 87266.
 1982 08 32280·
 1982 09 77314.
 1982 10 34238.
 1982 11 29296·
 1982 12 4383.
 1983 01  42383·
 1983 02  20336·
 1983 03  84328.
 1983 04  53269·
 1983 05  44229·
 1983 06  22237.
 1983 07  81172.
 1983 08  41236.
 1983 09  76204.
 1983 10  68199.
 1983 11  79218.
 1983 12  57236.
 1984 01 59256.
 1984 02 7277.
 1984 03 58337.
 1984 04 13223·
 1984 05 36165.
 1984 06 14166.
 1984 07 26163.
 1984 08 47179.
 1984 09 77161.
 1984 10 91172·
 1984 11 13172.
 1984 12 22239.
 1985 01  76191·
 1985 02  62246·
 1985 03  77280·
 1985 04  27193·
 1985 05  51177.
 1985 06  78154·
 1985 07  0179.
 1985 08  73179.
 1985 09  47215.
 1985 10  14179.
 1985 11  87210.
 1985 12  99200·
 1986 01 33230·
 1986 02 71252.
 1986 03 71280.
 1986 04 68203.
 1986 05 4196.
 1986 06 74198·
 1986 07 7193.
 1986 08 67259.
 1986 09 77179·
 1986 10 73181·
 1986 11 79240.
 1986 12 10225·
 1987 01  99255·
 1987 02  44196.
 1987 03  92243·
 1987 04  35202·
 1987 05  37145·
 1987 06  87131·
 1987 07  78134.
 1987 08  3210·
 1987 09  85140·
 1987 10  28135·
 1987 11  94132·
 1987 12  4168·
 1988 01 64232·
 1988 02 17180.
 1988 03 22226·
 1988 04 50148.
 1988 05 16134.
 1988 06 29132.
 1988 07 67124·
 1988 08 79177·
 1988 09 12150·
 1988 10 65118.
 1988 11 62165·
 1988 12 53175·
 1989 01  45173·
 1989 02  51193.
 1989 03  63247.
 1989 04  61152·
 1989 05  35151·
 1989 06  35127.
 1989 07  52129·
 1989 08  16157.
 1989 09  25141.
 1989 10  95129·
 1989 11  36140·
 1989 12  56161·
 1990 01 85162.
 1990 02 30213·
 1990 03 46236.
 1990 04 43165·
 1990 05 9111.
 1990 06 65166.
 1990 07 38146.
 1990 08 65185.
 1990 09 16167·
 1990 10 52180·
 1990 11 96174.
 1990 12 35200.
 1991 01  50223.
 1991 02  65318·
 1991 03  24387·
 1991 04  91255·
 1991 05  81211·
 1991 06  6179·
 1991 07  55201.
 1991 08  97249·
 1991 09  2233.
 1991 10  98258·
 1991 11  46217·
 1991 12  39259·
 1992 01 32297.
 1992 02 93332.
 1992 03 77362.
 1992 04 31265.
 1992 05 16173.
 1992 06 66210·
 1992 07 56202.
 1992 08 10254·
 1992 09 24184.
 1992 10 18191·
 1992 11 15239.
 1992 12 40224·
 1993 01  48235·
 1993 02  73290·
 1993 03  9317·
 1993 04  9230·
 1993 05  8166·
 1993 06  83192·
 1993 07  22236.
 1993 08  28156.
 1993 09  49199·
 1993 10  22154.
 1993 11  58132·
 1993 12  37193·
 1994 01 39259·
 1994 02 91313.
 1994 03 50338.
 1994 04 98218·
 1994 05 72145·
 1994 06 16208.
 1994 07 55155·
 1994 08 99170·
 1994 09 69128.
 1994 10 47180·
 1994 11 54146.
 1994 12 53181·
 1995 01  72198.
 1995 02  58187·
 1995 03  54249.
 1995 04  98189·
 1995 05  51168·
 1995 06  51134·
 1995 07  86184.
 1995 08  96257·
 1995 09  1165·
 1995 10  52200.
 1995 11  7136.
 1995 12  36170·
 1996 01 39235·
 1996 02 9178·
 1996 03 0226.
 1996 04 30232.
 1996 05 11174.
 1996 06 0126·
 1996 07 69160·
 1996 08 16179·
 1996 09 86158·
 1996 10 23161·
 1996 11 47144·
 1996 12 58184·
 1997 01  58198.
 1997 02  5231.
 1997 03  92271.
 1997 04  43201.
 1997 05  45131·
 1997 06  96113.
 1997 07  83154·
 1997 08  84164·
 1997 09  92132·
 1997 10  71100.
 1997 11  2899.
 1997 12  18121.
 1998 01 68148·
 1998 02 31196.
 1998 03 59168.
 1998 04 10165·
 1998 05 68140·
 1998 06 197·
 1998 07 32145·
 1998 08 46117·
 1998 09 10135.
 1998 10 31145·
 1998 11 29138.
 1998 12 39122.
 1999 01  39122·
 1999 02  98200.
 1999 03  57149·
 1999 04  29154.
 1999 05  2381·
 1999 06  098.
 1999 07  47142·
 1999 08  76143·
 1999 09  57126.
 1999 10  64120·
 1999 11  5598·
 1999 12  7097·
 2000 01 60129.
 2000 02 41143·
 2000 03 64151·
 2000 04 22108.
 2000 05 77120.
 2000 06 4126.
 2000 07 8089·
 2000 08 72137·
 2000 09 75110·
 2000 10 5694·
 2000 11 34117·
 2000 12 8291·
 2001 01  50178.
 2001 02  21122.
 2001 03  84167.
 2001 04  39146.
 2001 05  20127.
 2001 06  49136·
 2001 07  11128·
 2001 08  57169.
 2001 09  30139·
 2001 10  16155.
 2001 11  22146.


 2001 12  74211.
 2002 01 49237·
 2002 02 23246.
 2002 03 48224·
 2002 04 52271·
 2002 05 71188·
 2002 06 95213·
 2002 07 45158.
 2002 08 80213·
 2002 09 15172·
 2002 10 81159.
 2002 11 97168.
 2002 12 69173.
 2003 01  25240.
 2003 02  59244·

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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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