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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 89121·
 1976 07 76153.
 1976 08 55158.
 1976 09 3164·
 1976 10 24139·
 1976 11 19154.
 1976 12 96178·
 1977 01  90172·
 1977 02  18199·
 1977 03  54175.
 1977 04  31133.
 1977 05  69104.
 1977 06  22104.
 1977 07  6398·
 1977 08  74150·
 1977 09  84131.
 1977 10  13129.
 1977 11  52139·
 1977 12  62154·
 1978 01 5165·
 1978 02 90195.
 1978 03 53194·
 1978 04 59112.
 1978 05 2671.
 1978 06 7879·
 1978 07 2392.
 1978 08 5287·
 1978 09 66142·
 1978 10 2971.
 1978 11 44111.
 1978 12 54129·
 1979 01  69123·
 1979 02  17140.
 1979 03  21176·
 1979 04  3118·
 1979 05  484.
 1979 06  42117.
 1979 07  88113.
 1979 08  62120.
 1979 09  65123·
 1979 10  31134.
 1979 11  99108.
 1979 12  18151.
 1980 01 73175.
 1980 02 34182·
 1980 03 38230·
 1980 04 86176.
 1980 05 69157.
 1980 06 26189·
 1980 07 10201.
 1980 08 2228·
 1980 09 25218.
 1980 10 7196.
 1980 11 48187·
 1980 12 29166·
 1981 01  34187.
 1981 02  2266.
 1981 03  7248.
 1981 04  56167.
 1981 05  14147.
 1981 06  63136.
 1981 07  70178.
 1981 08  95171·
 1981 09  11192·
 1981 10  65179·
 1981 11  44210.
 1981 12  84235.
 1982 01 94285·
 1982 02 7332.
 1982 03 59360.
 1982 04 86271.
 1982 05 55234.
 1982 06 16243·
 1982 07 72266.
 1982 08 89280.
 1982 09 16314·
 1982 10 41238.
 1982 11 66296.
 1982 12 6383·
 1983 01  19383·
 1983 02  59336.
 1983 03  46328·
 1983 04  74269.
 1983 05  35229.
 1983 06  69237·
 1983 07  45172·
 1983 08  57236·
 1983 09  56204.
 1983 10  97199·
 1983 11  18218·
 1983 12  43236·
 1984 01 3256.
 1984 02 93277·
 1984 03 49337.
 1984 04 44223.
 1984 05 18165.
 1984 06 33166.
 1984 07 43163·
 1984 08 98179.
 1984 09 73161·
 1984 10 17172.
 1984 11 31172.
 1984 12 68239·
 1985 01  60191·
 1985 02  71246.
 1985 03  72280·
 1985 04  42193·
 1985 05  99177·
 1985 06  44154·
 1985 07  45179·
 1985 08  34179.
 1985 09  34215.
 1985 10  13179.
 1985 11  58210·
 1985 12  80200·
 1986 01 34230.
 1986 02 77252.
 1986 03 43280·
 1986 04 43203·
 1986 05 93196·
 1986 06 62198·
 1986 07 56193·
 1986 08 13259.
 1986 09 30179·
 1986 10 19181·
 1986 11 79240.
 1986 12 1225.
 1987 01  90255·
 1987 02  23196·
 1987 03  19243.
 1987 04  45202.
 1987 05  42145.
 1987 06  73131·
 1987 07  6134.
 1987 08  8210·
 1987 09  79140·
 1987 10  97135·
 1987 11  98132·
 1987 12  79168.
 1988 01 21232·
 1988 02 43180.
 1988 03 77226.
 1988 04 70148·
 1988 05 13134.
 1988 06 88132·
 1988 07 48124.
 1988 08 19177·
 1988 09 22150.
 1988 10 31118·
 1988 11 44165.
 1988 12 88175·
 1989 01  44173·
 1989 02  98193·
 1989 03  21247.
 1989 04  66152.
 1989 05  97151·
 1989 06  41127·
 1989 07  62129·
 1989 08  66157·
 1989 09  26141.
 1989 10  33129·
 1989 11  72140·
 1989 12  25161.
 1990 01 0162·
 1990 02 75213.
 1990 03 83236.
 1990 04 7165·
 1990 05 12111.
 1990 06 93166·
 1990 07 52146.
 1990 08 99185.
 1990 09 83167·
 1990 10 37180·
 1990 11 60174·
 1990 12 14200.
 1991 01  56223.
 1991 02  83318·
 1991 03  14387.
 1991 04  91255·
 1991 05  0211.
 1991 06  30179·
 1991 07  47201·
 1991 08  91249.
 1991 09  9233·
 1991 10  5258·
 1991 11  13217.
 1991 12  3259·
 1992 01 4297.
 1992 02 58332.
 1992 03 96362.
 1992 04 40265·
 1992 05 27173.
 1992 06 63210·
 1992 07 1202.
 1992 08 39254·
 1992 09 47184·
 1992 10 22191·
 1992 11 61239.
 1992 12 64224·
 1993 01  60235·
 1993 02  60290·
 1993 03  32317·
 1993 04  2230.
 1993 05  84166·
 1993 06  27192·
 1993 07  95236·
 1993 08  67156·
 1993 09  63199·
 1993 10  99154.
 1993 11  58132·
 1993 12  96193.
 1994 01 67259·
 1994 02 76313.
 1994 03 51338·
 1994 04 52218·
 1994 05 90145.
 1994 06 83208·
 1994 07 32155·
 1994 08 23170.
 1994 09 50128.
 1994 10 71180.
 1994 11 82146·
 1994 12 21181.
 1995 01  92198·
 1995 02  15187·
 1995 03  8249.
 1995 04  86189.
 1995 05  84168.
 1995 06  15134.
 1995 07  42184.
 1995 08  79257·
 1995 09  23165.
 1995 10  98200.
 1995 11  39136.
 1995 12  89170·
 1996 01 25235·
 1996 02 13178.
 1996 03 83226·
 1996 04 28232.
 1996 05 36174.
 1996 06 36126·
 1996 07 78160.
 1996 08 34179.
 1996 09 24158·
 1996 10 67161·
 1996 11 58144.
 1996 12 71184.
 1997 01  84198.
 1997 02  31231.
 1997 03  78271·
 1997 04  26201.
 1997 05  35131·
 1997 06  79113.
 1997 07  21154·
 1997 08  11164.
 1997 09  21132·
 1997 10  87100·
 1997 11  9299.
 1997 12  66121.
 1998 01 11148.
 1998 02 54196.
 1998 03 24168.
 1998 04 52165·
 1998 05 99140·
 1998 06 797·
 1998 07 74145.
 1998 08 58117·
 1998 09 5135.
 1998 10 95145·
 1998 11 22138·
 1998 12 97122·
 1999 01  72122.
 1999 02  93200·
 1999 03  75149.
 1999 04  6154·
 1999 05  7081.
 1999 06  398·
 1999 07  66142.
 1999 08  48143·
 1999 09  93126.
 1999 10  50120·
 1999 11  5198.
 1999 12  1297.
 2000 01 60129·
 2000 02 84143·
 2000 03 11151·
 2000 04 10108·
 2000 05 15120·
 2000 06 80126.
 2000 07 5389·
 2000 08 79137.
 2000 09 27110·
 2000 10 3994.
 2000 11 9117.
 2000 12 8491·
 2001 01  91178·
 2001 02  86122·
 2001 03  35167·
 2001 04  11146·
 2001 05  25127.
 2001 06  72136·
 2001 07  13128.
 2001 08  74169.
 2001 09  73139.
 2001 10  71155.
 2001 11  50146·


 2001 12  11211.
 2002 01 6237.
 2002 02 86246.
 2002 03 77224.
 2002 04 84271.
 2002 05 17188.
 2002 06 40213.
 2002 07 51158·
 2002 08 81213·
 2002 09 24172·
 2002 10 84159·
 2002 11 53168·
 2002 12 16173.
 2003 01  73240.
 2003 02  93244.

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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

Sites of Interest: Conerly Consulting: Economics for Business Decisions *

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