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 Series Title: Number Unemployed for 5-6 weeks 25-34 yrs. Female: NSA (Thousands)
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2003 02  1754.
 2003 01  7640·
 2002 12 6456·
 2002 11 2453·
 2002 10 1840·
 2002 09 1332.
 2002 08 7853·
 2002 07 1134.
 2002 06 9151.
 2002 05 5557.
 2002 04 9945·
 2002 03 344·
 2002 02 8774.
 2002 01 8445.
 2001 12  3992.
 2001 11  4589.
 2001 10  8244.
 2001 09  526·
 2001 08  3848·
 2001 07  446·
 2001 06  7542·
 2001 05  5137.
 2001 04  5833·
 2001 03  7658.
 2001 02  9346.
 2001 01  7848·
 2000 12 8661·
 2000 11 7940.
 2000 10 8529·
 2000 09 6934·
 2000 08 3644.
 2000 07 5833.
 2000 06 2733.
 2000 05 2914.
 2000 04 4533·
 2000 03 8233·
 2000 02 2046.
 2000 01 9023.
 1999 12  7744.
 1999 11  4446.
 1999 10  8839.
 1999 09  935·
 1999 08  1928·
 1999 07  6552·
 1999 06  8243·
 1999 05  6729·
 1999 04  8428·
 1999 03  8855.
 1999 02  7772.
 1999 01  7142·
 1998 12 1059.
 1998 11 8277·
 1998 10 7549·
 1998 09 5463·
 1998 08 6057.
 1998 07 4251.
 1998 06 061.
 1998 05 7031·
 1998 04 2214.
 1998 03 8661·
 1998 02 284.
 1998 01 323.
 1997 12  958·
 1997 11  5963.
 1997 10  5857·
 1997 09  5928·
 1997 08  5958.
 1997 07  2964.
 1997 06  6764·
 1997 05  6853.
 1997 04  3437·
 1997 03  9257·
 1997 02  5561·
 1997 01  8953.
 1996 12 2289·
 1996 11 6662.
 1996 10 7299·
 1996 09 226·
 1996 08 3781.
 1996 07 9653·
 1996 06 9467·
 1996 05 1543.
 1996 04 1538·
 1996 03 4957·
 1996 02 2085·
 1996 01 5844·
 1995 12  2171.
 1995 11  2280·
 1995 10  7772.
 1995 09  8951.
 1995 08  4258·
 1995 07  3255·
 1995 06  1576.
 1995 05  8950·
 1995 04  9142.
 1995 03  2470.
 1995 02  998.
 1995 01  6528·
 1994 12 560.
 1994 11 6643.
 1994 10 6091·
 1994 09 4956.
 1994 08 4988.
 1994 07 5570·
 1994 06 9348·
 1994 05 9656·
 1994 04 846.
 1994 03 754.
 1994 02 5893·
 1994 01 9053·
 1993 12  9793.
 1993 11  6874.
 1993 10  3084.
 1993 09  3577·
 1993 08  5479·
 1993 07  686·
 1993 06  1190·
 1993 05  6572.
 1993 04  4093.
 1993 03  1670.
 1993 02  26104·
 1993 01  3580.
 1992 12 45117.
 1992 11 1792·
 1992 10 2483.
 1992 09 28104·
 1992 08 8181.
 1992 07 53101·
 1992 06 81111·
 1992 05 4990·
 1992 04 8684·
 1992 03 9384·
 1992 02 99101·
 1992 01 31109.
 1991 12  2297·
 1991 11  3195·
 1991 10  1101·
 1991 09  3192·
 1991 08  7865.
 1991 07  8790·
 1991 06  3987·
 1991 05  2995·
 1991 04  6779·
 1991 03  477·
 1991 02  88114·
 1991 01  3269·
 1990 12 2682.
 1990 11 5289·
 1990 10 4880·
 1990 09 73110.
 1990 08 1863.
 1990 07 25108.
 1990 06 4469·
 1990 05 865·
 1990 04 3185·
 1990 03 4277·
 1990 02 2896·
 1990 01 1871·
 1989 12  7995·
 1989 11  4754.
 1989 10  7480.
 1989 09  1079.
 1989 08  9979.
 1989 07  993·
 1989 06  8369·
 1989 05  1672.
 1989 04  5358.
 1989 03  2382.
 1989 02  8080.
 1989 01  9282.
 1988 12 3179.
 1988 11 795.
 1988 10 1692·
 1988 09 2055·
 1988 08 4447.
 1988 07 5104·
 1988 06 6686.
 1988 05 755.
 1988 04 3049·
 1988 03 8865·
 1988 02 3077.
 1988 01 8486.
 1987 12  5387.
 1987 11  49100·
 1987 10  3484.
 1987 09  899.
 1987 08  189.
 1987 07  663.
 1987 06  2893·
 1987 05  6072·
 1987 04  8661.
 1987 03  587.
 1987 02  88127.
 1987 01  48103.
 1986 12 4592.
 1986 11 14107·
 1986 10 13108·
 1986 09 299.
 1986 08 4382·
 1986 07 2899·
 1986 06 3074.
 1986 05 8070.
 1986 04 6778.
 1986 03 6692·
 1986 02 89113·
 1986 01 6387.
 1985 12  2998·
 1985 11  71105.
 1985 10  65113·
 1985 09  58106.
 1985 08  6880.
 1985 07  13103·
 1985 06  5873·
 1985 05  9680·
 1985 04  4789·
 1985 03  8688.
 1985 02  94102·
 1985 01  3472.
 1984 12 5478·
 1984 11 1067.
 1984 10 2487.
 1984 09 5488.
 1984 08 085.
 1984 07 28103.
 1984 06 2278.
 1984 05 6283·
 1984 04 2564·
 1984 03 981.
 1984 02 8998.
 1984 01 9168.
 1983 12  9187·
 1983 11  4882·
 1983 10  51117·
 1983 09  9594.
 1983 08  86102·
 1983 07  64115·
 1983 06  5886·
 1983 05  5878.
 1983 04  2365.
 1983 03  181.
 1983 02  84105.
 1983 01  8684·
 1982 12 40113.
 1982 11 28103.
 1982 10 32113.
 1982 09 10131.
 1982 08 9999.
 1982 07 39115.
 1982 06 2581·
 1982 05 8896·
 1982 04 8979·
 1982 03 5380.
 1982 02 1576·
 1982 01 064·
 1981 12  2399·
 1981 11  15105.
 1981 10  7799.
 1981 09  5494·
 1981 08  3872·
 1981 07  94126.
 1981 06  1171·
 1981 05  8196.
 1981 04  9778·
 1981 03  8371.
 1981 02  4299.
 1981 01  3784.
 1980 12 8889·
 1980 11 289·
 1980 10 2285·
 1980 09 587·
 1980 08 2582.
 1980 07 9593.
 1980 06 2567.
 1980 05 9168.
 1980 04 4475.
 1980 03 3269.
 1980 02 5185.
 1980 01 2770.
 1979 12  960·
 1979 11  666.
 1979 10  2769.
 1979 09  6947·
 1979 08  871·
 1979 07  36104.
 1979 06  251·
 1979 05  9845.
 1979 04  5448.
 1979 03  6758·
 1979 02  5360.
 1979 01  2371·
 1978 12 8459·
 1978 11 6768.
 1978 10 7872.
 1978 09 7356.
 1978 08 6194·
 1978 07 3280·
 1978 06 559·
 1978 05 660.
 1978 04 7461·
 1978 03 8065·
 1978 02 8270·
 1978 01 453·
 1977 12  3555·
 1977 11  5461·
 1977 10  8655.
 1977 09  7360·
 1977 08  8272·
 1977 07  2577·
 1977 06  1768.
 1977 05  4551·
 1977 04  7845·
 1977 03  8746·
 1977 02  080.
 1977 01  7663·
 1976 12 1159.
 1976 11 5887.
 1976 10 8583·
 1976 09 4852·
 1976 08 9382·
 1976 07 8370·
 1976 06 4948·
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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 5-6 weeks 25-34 yrs. Female: 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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