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 Series Title: Number Unemployed for 7-10 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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 2003 02  12334·
 2003 01  17344·
 2002 12 99309·
 2002 11 84269.
 2002 10 26226.
 2002 09 78243·
 2002 08 95296.
 2002 07 64265.
 2002 06 51253.
 2002 05 80247.
 2002 04 36304·
 2002 03 85343.
 2002 02 36342·
 2002 01 7386.
 2001 12  34317·
 2001 11  94250.
 2001 10  57269·
 2001 09  64216.
 2001 08  28229·
 2001 07  58241.
 2001 06  14211.
 2001 05  84197.
 2001 04  80194.
 2001 03  72262·
 2001 02  33259.
 2001 01  22213·
 2000 12 78203.
 2000 11 54185·
 2000 10 64215.
 2000 09 60149·
 2000 08 36249.
 2000 07 50202·
 2000 06 83132.
 2000 05 6204.
 2000 04 90197.
 2000 03 28241·
 2000 02 89228·
 2000 01 90230·
 1999 12  4161·
 1999 11  83192.
 1999 10  8177·
 1999 09  70187·
 1999 08  67201.
 1999 07  33191.
 1999 06  91166.
 1999 05  26152·
 1999 04  89139.
 1999 03  23231.
 1999 02  13248·
 1999 01  67270·
 1998 12 11179.
 1998 11 22218.
 1998 10 75173.
 1998 09 22265.
 1998 08 94252·
 1998 07 23210·
 1998 06 1188.
 1998 05 50180·
 1998 04 26210.
 1998 03 47276·
 1998 02 42238·
 1998 01 31237·
 1997 12  20215.
 1997 11  37226·
 1997 10  74205·
 1997 09  72230·
 1997 08  15233·
 1997 07  62227·
 1997 06  97235·
 1997 05  5220·
 1997 04  72254.
 1997 03  17257·
 1997 02  36362.
 1997 01  86302·
 1996 12 81253.
 1996 11 20272·
 1996 10 42214.
 1996 09 98252.
 1996 08 53211.
 1996 07 17338.
 1996 06 90193.
 1996 05 46222.
 1996 04 27265·
 1996 03 75347.
 1996 02 81378·
 1996 01 63302·
 1995 12  66311·
 1995 11  89263.
 1995 10  39221.
 1995 09  4260.
 1995 08  57272·
 1995 07  79344·
 1995 06  16211.
 1995 05  53219.
 1995 04  13331.
 1995 03  88288·
 1995 02  87372·
 1995 01  15353.
 1994 12 73251·
 1994 11 85265·
 1994 10 51250·
 1994 09 21304.
 1994 08 98273·
 1994 07 65283·
 1994 06 35217.
 1994 05 29268·
 1994 04 78250.
 1994 03 47362·
 1994 02 89418.
 1994 01 21363·
 1993 12  25308.
 1993 11  75304·
 1993 10  88324.
 1993 09  2321·
 1993 08  76353·
 1993 07  18331.
 1993 06  33354·
 1993 05  5252·
 1993 04  96268.
 1993 03  70398·
 1993 02  49393.
 1993 01  86409.
 1992 12 70363.
 1992 11 50386.
 1992 10 86339.
 1992 09 27329·
 1992 08 14372.
 1992 07 3336.
 1992 06 20301.
 1992 05 34321·
 1992 04 64341.
 1992 03 98339.
 1992 02 51471·
 1992 01 40444·
 1991 12  83320·
 1991 11  28359·
 1991 10  5328·
 1991 09  0287·
 1991 08  59362·
 1991 07  13381·
 1991 06  31346·
 1991 05  96306.
 1991 04  5326·
 1991 03  97422·
 1991 02  6507·
 1991 01  35437.
 1990 12 59364.
 1990 11 50315.
 1990 10 30304.
 1990 09 50306·
 1990 08 84277.
 1990 07 65309.
 1990 06 28224.
 1990 05 95327.
 1990 04 68226.
 1990 03 61329.
 1990 02 51403·
 1990 01 53329.
 1989 12  23239.
 1989 11  83237·
 1989 10  73231·
 1989 09  31244.
 1989 08  88267.
 1989 07  99282.
 1989 06  96243·
 1989 05  60240.
 1989 04  25280.
 1989 03  5288.
 1989 02  45338·
 1989 01  97286.
 1988 12 22243.
 1988 11 19243·
 1988 10 69260.
 1988 09 23205.
 1988 08 93301.
 1988 07 84275·
 1988 06 46240.
 1988 05 46259.
 1988 04 75254.
 1988 03 71289.
 1988 02 74355·
 1988 01 96297.
 1987 12  30287·
 1987 11  74264.
 1987 10  79279·
 1987 09  31225.
 1987 08  48323.
 1987 07  11329.
 1987 06  12220.
 1987 05  31257·
 1987 04  40210.
 1987 03  27349.
 1987 02  48400·
 1987 01  5401·
 1986 12 45330.
 1986 11 91392.
 1986 10 87355.
 1986 09 82377.
 1986 08 26357.
 1986 07 97367.
 1986 06 56367·
 1986 05 21320.
 1986 04 69315.
 1986 03 64371·
 1986 02 3412.
 1986 01 2325.
 1985 12  90342.
 1985 11  36342·
 1985 10  5283.
 1985 09  33315·
 1985 08  24393.
 1985 07  83313·
 1985 06  63268.
 1985 05  44255.
 1985 04  35288·
 1985 03  98330.
 1985 02  0426·
 1985 01  93373.
 1984 12 12338·
 1984 11 1294.
 1984 10 69288·
 1984 09 61267·
 1984 08 66272.
 1984 07 36259.
 1984 06 43235·
 1984 05 55213·
 1984 04 36281·
 1984 03 72365.
 1984 02 24396·
 1984 01 7374.
 1983 12  84346·
 1983 11  3335.
 1983 10  37299·
 1983 09  72326·
 1983 08  0363·
 1983 07  48304·
 1983 06  33266·
 1983 05  33243.
 1983 04  94335·
 1983 03  52403.
 1983 02  86499·
 1983 01  97429·
 1982 12 6468.
 1982 11 83484·
 1982 10 97443.
 1982 09 95360.
 1982 08 98451.
 1982 07 36433·
 1982 06 92389.
 1982 05 83353.
 1982 04 58338.
 1982 03 30394.
 1982 02 21414·
 1982 01 43417·
 1981 12  0360.
 1981 11  9352·
 1981 10  59316.
 1981 09  83243·
 1981 08  60363.
 1981 07  42296·
 1981 06  7231·
 1981 05  33267.
 1981 04  1237·
 1981 03  23283.
 1981 02  90380.
 1981 01  50321.
 1980 12 13238.
 1980 11 72242·
 1980 10 58281·
 1980 09 16257·
 1980 08 7365.
 1980 07 32341·
 1980 06 87315·
 1980 05 38264.
 1980 04 21224·
 1980 03 73258·
 1980 02 78338.
 1980 01 47230·
 1979 12  19247.
 1979 11  89235.
 1979 10  55196·
 1979 09  99214·
 1979 08  88228.
 1979 07  99213.
 1979 06  69161·
 1979 05  77196·
 1979 04  41186·
 1979 03  46240.
 1979 02  96307·
 1979 01  87228·
 1978 12 17234.
 1978 11 2196·
 1978 10 35189.
 1978 09 61172·
 1978 08 77262·
 1978 07 58170.
 1978 06 13161·
 1978 05 55137·
 1978 04 10138.
 1978 03 35188·
 1978 02 79283·
 1978 01 51224.
 1977 12  28226·
 1977 11  77235.
 1977 10  9222.
 1977 09  56192·
 1977 08  70243·
 1977 07  52234.
 1977 06  4171·
 1977 05  1189·
 1977 04  99180·
 1977 03  56290·
 1977 02  88293.
 1977 01  43291·
 1976 12 2258.
 1976 11 7256.
 1976 10 13221·
 1976 09 63211.
 1976 08 92254·
 1976 07 49230·
 1976 06 53174·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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 7-10 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

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