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 Series Title: Number Unemployed for 11-14 weeks 25-34 yrs.: NSA (Thousands)
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 2003 02  70244·
 2003 01  22240.
 2002 12 69173·
 2002 11 38168·
 2002 10 83159·
 2002 09 56172·
 2002 08 13213.
 2002 07 41158.
 2002 06 6213.
 2002 05 32188·
 2002 04 2271.
 2002 03 86224·
 2002 02 89246·
 2002 01 32237.
 2001 12  49211.
 2001 11  18146·
 2001 10  9155·
 2001 09  63139.
 2001 08  91169.
 2001 07  5128.
 2001 06  65136.
 2001 05  55127.
 2001 04  92146.
 2001 03  43167·
 2001 02  82122.
 2001 01  67178·
 2000 12 3991.
 2000 11 49117·
 2000 10 1194.
 2000 09 79110.
 2000 08 45137·
 2000 07 6889·
 2000 06 28126·
 2000 05 98120·
 2000 04 47108·
 2000 03 70151·
 2000 02 33143·
 2000 01 56129.
 1999 12  1097.
 1999 11  4898.
 1999 10  51120.
 1999 09  9126.
 1999 08  21143.
 1999 07  21142·
 1999 06  3298·
 1999 05  3981·
 1999 04  92154.
 1999 03  35149·
 1999 02  53200·
 1999 01  52122.
 1998 12 62122·
 1998 11 57138·
 1998 10 13145·
 1998 09 81135.
 1998 08 93117.
 1998 07 82145.
 1998 06 3797·
 1998 05 82140.
 1998 04 74165·
 1998 03 29168·
 1998 02 77196·
 1998 01 37148·
 1997 12  17121·
 1997 11  4299.
 1997 10  7100·
 1997 09  51132.
 1997 08  60164·
 1997 07  91154·
 1997 06  29113.
 1997 05  58131·
 1997 04  66201·
 1997 03  69271.
 1997 02  66231.
 1997 01  13198·
 1996 12 22184·
 1996 11 96144·
 1996 10 71161·
 1996 09 98158·
 1996 08 43179·
 1996 07 16160·
 1996 06 17126·
 1996 05 19174.
 1996 04 66232.
 1996 03 97226·
 1996 02 6178.
 1996 01 9235.
 1995 12  52170.
 1995 11  35136·
 1995 10  63200·
 1995 09  25165.
 1995 08  92257·
 1995 07  48184.
 1995 06  38134·
 1995 05  46168.
 1995 04  97189.
 1995 03  80249.
 1995 02  7187.
 1995 01  82198·
 1994 12 5181·
 1994 11 1146.
 1994 10 70180·
 1994 09 62128.
 1994 08 79170·
 1994 07 5155.
 1994 06 53208·
 1994 05 43145.
 1994 04 7218·
 1994 03 10338.
 1994 02 5313.
 1994 01 8259·
 1993 12  2193·
 1993 11  61132·
 1993 10  2154.
 1993 09  63199.
 1993 08  2156·
 1993 07  28236.
 1993 06  46192.
 1993 05  39166·
 1993 04  70230.
 1993 03  3317.
 1993 02  60290.
 1993 01  94235·
 1992 12 93224.
 1992 11 7239.
 1992 10 95191.
 1992 09 8184.
 1992 08 85254·
 1992 07 83202.
 1992 06 28210.
 1992 05 89173.
 1992 04 83265·
 1992 03 1362.
 1992 02 57332.
 1992 01 68297.
 1991 12  51259.
 1991 11  55217·
 1991 10  10258·
 1991 09  1233.
 1991 08  75249·
 1991 07  64201.
 1991 06  35179.
 1991 05  71211·
 1991 04  70255·
 1991 03  71387.
 1991 02  8318.
 1991 01  84223.
 1990 12 73200·
 1990 11 47174·
 1990 10 31180.
 1990 09 71167·
 1990 08 46185·
 1990 07 86146·
 1990 06 27166·
 1990 05 90111.
 1990 04 78165·
 1990 03 5236·
 1990 02 48213.
 1990 01 22162.
 1989 12  82161.
 1989 11  51140.
 1989 10  69129·
 1989 09  73141·
 1989 08  95157.
 1989 07  91129.
 1989 06  90127.
 1989 05  75151.
 1989 04  81152.
 1989 03  20247·
 1989 02  37193.
 1989 01  86173·
 1988 12 27175.
 1988 11 57165·
 1988 10 60118.
 1988 09 86150·
 1988 08 46177·
 1988 07 46124·
 1988 06 35132·
 1988 05 82134·
 1988 04 76148·
 1988 03 56226.
 1988 02 61180.
 1988 01 5232·
 1987 12  80168·
 1987 11  82132.
 1987 10  65135·
 1987 09  13140.
 1987 08  46210.
 1987 07  43134·
 1987 06  97131.
 1987 05  87145.
 1987 04  87202.
 1987 03  82243·
 1987 02  31196·
 1987 01  34255.
 1986 12 40225.
 1986 11 70240·
 1986 10 69181.
 1986 09 85179.
 1986 08 69259·
 1986 07 99193·
 1986 06 36198.
 1986 05 97196·
 1986 04 61203·
 1986 03 89280.
 1986 02 82252·
 1986 01 52230.
 1985 12  30200·
 1985 11  85210.
 1985 10  82179.
 1985 09  56215.
 1985 08  12179.
 1985 07  55179·
 1985 06  38154·
 1985 05  41177.
 1985 04  72193.
 1985 03  94280.
 1985 02  74246.
 1985 01  63191·
 1984 12 97239.
 1984 11 20172·
 1984 10 41172·
 1984 09 5161.
 1984 08 0179·
 1984 07 79163.
 1984 06 14166·
 1984 05 72165·
 1984 04 18223·
 1984 03 38337.
 1984 02 93277·
 1984 01 97256·
 1983 12  15236.
 1983 11  92218.
 1983 10  5199.
 1983 09  36204·
 1983 08  79236·
 1983 07  61172·
 1983 06  99237·
 1983 05  71229·
 1983 04  22269·
 1983 03  88328.
 1983 02  50336·
 1983 01  8383·
 1982 12 82383·
 1982 11 43296.
 1982 10 60238.
 1982 09 79314.
 1982 08 23280·
 1982 07 20266·
 1982 06 53243.
 1982 05 40234·
 1982 04 31271·
 1982 03 37360·
 1982 02 81332.
 1982 01 74285·
 1981 12  21235·
 1981 11  39210.
 1981 10  17179.
 1981 09  87192·
 1981 08  29171.
 1981 07  96178.
 1981 06  63136·
 1981 05  11147.
 1981 04  20167·
 1981 03  0248·
 1981 02  45266·
 1981 01  2187·
 1980 12 80166·
 1980 11 73187·
 1980 10 11196·
 1980 09 41218·
 1980 08 22228·
 1980 07 56201·
 1980 06 39189.
 1980 05 36157.
 1980 04 85176·
 1980 03 21230.
 1980 02 28182·
 1980 01 19175.
 1979 12  31151.
 1979 11  60108.
 1979 10  4134·
 1979 09  45123.
 1979 08  49120.
 1979 07  93113.
 1979 06  16117.
 1979 05  9684.
 1979 04  50118.
 1979 03  64176.
 1979 02  41140.
 1979 01  79123·
 1978 12 74129·
 1978 11 43111·
 1978 10 7971.
 1978 09 27142·
 1978 08 8287.
 1978 07 2392·
 1978 06 5579.
 1978 05 9471.
 1978 04 64112.
 1978 03 23194·
 1978 02 20195.
 1978 01 64165.
 1977 12  31154·
 1977 11  89139·
 1977 10  49129.
 1977 09  42131.
 1977 08  21150·
 1977 07  8898·
 1977 06  42104·
 1977 05  60104·
 1977 04  98133·
 1977 03  14175·
 1977 02  24199·
 1977 01  75172.
 1976 12 49178·
 1976 11 89154·
 1976 10 47139·
 1976 09 69164·
 1976 08 88158.
 1976 07 54153.
 1976 06 86121·
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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

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      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

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