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 Series Title: Number Unemployed for 27-51 Weeks 25-34 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 9148.
 2012 03 19118.
 2012 02 90167·
 2012 01 32172.
 2011 12  76164·
 2011 11  59215.
 2011 10  17203.
 2011 09  18281·
 2011 08  10212·
 2011 07  97255·
 2011 06  45208.
 2011 05  4195.
 2011 04  60204.
 2011 03  16180.
 2011 02  87179.
 2011 01  32203·
 2010 12 3242·
 2010 11 21178·
 2010 10 81177.
 2010 09 72168.
 2010 08 38174·
 2010 07 45231.
 2010 06 89190.
 2010 05 19211·
 2010 04 91207.
 2010 03 44191.
 2010 02 99207.
 2010 01 90244·
 2009 12  12216.
 2009 11  99197.
 2009 10  25260·
 2009 09  31271.
 2009 08  77248·
 2009 07  18256·
 2009 06  4192·
 2009 05  11185·
 2009 04  86202·
 2009 03  32130·
 2009 02  0120·
 2009 01  23102.
 2008 12 6570.
 2008 11 9773.
 2008 10 9987·
 2008 09 8797.
 2008 08 63115.
 2008 07 9590.
 2008 06 1546·
 2008 05 4762·
 2008 04 5752·
 2008 03 3447·
 2008 02 8640.
 2008 01 7141.
 2007 12  4658.
 2007 11  4460.
 2007 10  7546·
 2007 09  5639.
 2007 08  5752·
 2007 07  8276.
 2007 06  6947.
 2007 05  1849.
 2007 04  3867·
 2007 03  3056.
 2007 02  8255·
 2007 01  359·
 2006 12 6757.
 2006 11 9443.
 2006 10 5253·
 2006 09 7968.
 2006 08 4265·
 2006 07 642·
 2006 06 4044.
 2006 05 4260.
 2006 04 9176·
 2006 03 2358.
 2006 02 3661.
 2006 01 942·
 2005 12  6256.
 2005 11  2761·
 2005 10  5163.
 2005 09  2564.
 2005 08  3245.
 2005 07  2367.
 2005 06  2551·
 2005 05  6065.
 2005 04  062.
 2005 03  4447·
 2005 02  2055·
 2005 01  774.
 2004 12 9389·
 2004 11 4785.
 2004 10 2358.
 2004 09 8581.
 2004 08 6073.
 2004 07 1257·
 2004 06 4860.
 2004 05 3949.
 2004 04 7753.
 2004 03 4778.
 2004 02 3271·
 2004 01 38100.
 2003 12  4489.
 2003 11  8374.
 2003 10  3989·
 2003 09  75100·
 2003 08  8788·
 2003 07  7795·
 2003 06  5679.
 2003 05  7166·
 2003 04  5676.
 2003 03  1093·
 2003 02  9686·
 2003 01  6991·
 2002 12 2790.
 2002 11 9092.
 2002 10 9798.
 2002 09 3894.
 2002 08 099·
 2002 07 4776.
 2002 06 2288.
 2002 05 7278.
 2002 04 9983·
 2002 03 3972·
 2002 02 5944·
 2002 01 9268·
 2001 12  7769·
 2001 11  4661.
 2001 10  2162.
 2001 09  3954.
 2001 08  735.
 2001 07  7745.
 2001 06  4638.
 2001 05  8532·
 2001 04  9139·
 2001 03  6236·
 2001 02  9636·
 2001 01  2338.
 2000 12 5433·
 2000 11 5737.
 2000 10 5928.
 2000 09 7243.
 2000 08 4646.
 2000 07 4638.
 2000 06 4951.
 2000 05 7638·
 2000 04 4346·
 2000 03 3322·
 2000 02 223.
 2000 01 540.
 1999 12  4548·
 1999 11  5233·
 1999 10  8335·
 1999 09  5238·
 1999 08  7731.
 1999 07  5831·
 1999 06  7923.
 1999 05  3748·
 1999 04  9039.
 1999 03  3346·
 1999 02  333·
 1999 01  441·
 1998 12 5942.
 1998 11 8431.
 1998 10 9355.
 1998 09 2248·
 1998 08 8554·
 1998 07 4248·
 1998 06 1132·
 1998 05 8528·
 1998 04 9241·
 1998 03 6555·
 1998 02 4541·
 1998 01 1342.
 1997 12  3235.
 1997 11  3328.
 1997 10  1067·
 1997 09  4968.
 1997 08  8059.
 1997 07  5472.
 1997 06  4156.
 1997 05  6236.
 1997 04  3643·
 1997 03  5853·
 1997 02  366.
 1997 01  4759·
 1996 12 2563.
 1996 11 364.
 1996 10 8268·
 1996 09 2365·
 1996 08 9873·
 1996 07 71103·
 1996 06 9383.
 1996 05 3470·
 1996 04 3159.
 1996 03 6872.
 1996 02 7370.
 1996 01 4961.
 1995 12  2364·
 1995 11  2563.
 1995 10  8466·
 1995 09  6251.
 1995 08  160·
 1995 07  9978.
 1995 06  1575.
 1995 05  9377·
 1995 04  1491·
 1995 03  7258·
 1995 02  7954.
 1995 01  8575.
 1994 12 3799.
 1994 11 5192.
 1994 10 1380.
 1994 09 878.
 1994 08 7272·
 1994 07 6774·
 1994 06 8073·
 1994 05 5689·
 1994 04 4477·
 1994 03 7671·
 1994 02 6984.
 1994 01 4884·
 1993 12  386.
 1993 11  6164·
 1993 10  9165.
 1993 09  2889·
 1993 08  24113·
 1993 07  28112·
 1993 06  8680.
 1993 05  6588.
 1993 04  870·
 1993 03  998·
 1993 02  16109·
 1993 01  5388.
 1992 12 80106·
 1992 11 60117.
 1992 10 68120.
 1992 09 12121.
 1992 08 91107·
 1992 07 63101·
 1992 06 5698·
 1992 05 8692.
 1992 04 16100·
 1992 03 25101.
 1992 02 1876·
 1992 01 4472.
 1991 12  5594.
 1991 11  7777·
 1991 10  1659.
 1991 09  7954·
 1991 08  3472.
 1991 07  7648.
 1991 06  3848.
 1991 05  1233.
 1991 04  336.
 1991 03  329·
 1991 02  9848·
 1991 01  8640.
 1990 12 3733·
 1990 11 6646·
 1990 10 3234.
 1990 09 7026.
 1990 08 3832·
 1990 07 9632·
 1990 06 526·
 1990 05 5926.
 1990 04 3039·
 1990 03 4823.
 1990 02 444·
 1990 01 7246·
 1989 12  6427.
 1989 11  627.
 1989 10  4129·
 1989 09  5223.
 1989 08  1439·
 1989 07  7630·
 1989 06  5631.
 1989 05  6929.
 1989 04  8320·
 1989 03  8930.
 1989 02  925·
 1989 01  1740.
 1988 12 9425·
 1988 11 338·
 1988 10 9129.
 1988 09 1636.
 1988 08 9932.
 1988 07 9834·
 1988 06 1231.
 1988 05 930.
 1988 04 7236.
 1988 03 8135.
 1988 02 1246.
 1988 01 6536·
 1987 12  1436.
 1987 11  8441.
 1987 10  5348·
 1987 09  7947.
 1987 08  5153.
 1987 07  6470·
 1987 06  2331.
 1987 05  7054·
 1987 04  3247·
 1987 03  250·
 1987 02  3563.
 1987 01  8253·
 1986 12 3448.
 1986 11 420.
 1986 10 2748.
 1986 09 8462·
 1986 08 5766·
 1986 07 471·
 1986 06 6160·
 1986 05 7056.
 1986 04 2558.
 1986 03 5651·
 1986 02 2651.
 1986 01 5955.
 1985 12  9055.
 1985 11  4450.
 1985 10  3545·
 1985 09  9656·
 1985 08  2745.
 1985 07  7262.
 1985 06  2555·
 1985 05  4982·
 1985 04  3645·
 1985 03  7459·
 1985 02  5962.
 1985 01  1451.
 1984 12 4232·
 1984 11 657·
 1984 10 2654.
 1984 09 854·
 1984 08 9765·
 1984 07 4979·
 1984 06 3763·
 1984 05 7678.
 1984 04 7471·
 1984 03 1082.
 1984 02 3173·
 1984 01 8878·
 1983 12  7686.
 1983 11  2064.
 1983 10  7268.
 1983 09  3681.
 1983 08  27113·
 1983 07  37104·
 1983 06  45141.
 1983 05  42160.
 1983 04  77163·
 1983 03  42151.
 1983 02  66130·
 1983 01  48131.
 1982 12 2126.
 1982 11 41110.
 1982 10 71112·
 1982 09 2396·
 1982 08 3112.
 1982 07 66110·
 1982 06 23115.
 1982 05 63110·
 1982 04 499.
 1982 03 7563.
 1982 02 1160.
 1982 01 8549·
 1981 12  5754.
 1981 11  4849·
 1981 10  4767·
 1981 09  3551.
 1981 08  3565·
 1981 07  9278.
 1981 06  6964·
 1981 05  8152.
 1981 04  4144.
 1981 03  3872.
 1981 02  4066·
 1981 01  1886·
 1980 12 9972·
 1980 11 4474.
 1980 10 4871·
 1980 09 6445.
 1980 08 6063.
 1980 07 9261·
 1980 06 542.
 1980 05 6439·
 1980 04 9936·
 1980 03 8643·
 1980 02 5023.
 1980 01 8631·
 1979 12  1625.
 1979 11  6122.
 1979 10  4617.
 1979 09  2627·
 1979 08  3738·
 1979 07  7131.
 1979 06  8019·
 1979 05  222·
 1979 04  1233.
 1979 03  9933·
 1979 02  6520.
 1979 01  5828.
 1978 12 1727.
 1978 11 5129·
 1978 10 4030.
 1978 09 6430.
 1978 08 5245.
 1978 07 5941.
 1978 06 6737.
 1978 05 1347·
 1978 04 4249·
 1978 03 7964.
 1978 02 3345·
 1978 01 2554·
 1977 12  3848·
 1977 11  9448·
 1977 10  5345·
 1977 09  4450·
 1977 08  1629·
 1977 07  955.
 1977 06  6342.
 1977 05  3974·
 1977 04  7578.
 1977 03  5776·
 1977 02  2767.
 1977 01  457·
 1976 12 4062·
 1976 11 9454·
 1976 10 3265.
 1976 09 5973.
 1976 08 6493.
 1976 07 265.
 1976 06 9273.
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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 27-51 Weeks 25-34 years, Women: NSA
   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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