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 Series Title: Of Total Unemployed 20-24 years, Women, Percent Unemployed Less than 5 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 6822·9
 2012 03 8325·5
 2012 02 4423·0
 2012 01 4133.1
 2011 12  8925·1
 2011 11  322.3
 2011 10  218.9
 2011 09  3629.8
 2011 08  3221·1
 2011 07  7726.7
 2011 06  1836·6
 2011 05  8527.1
 2011 04  4722·0
 2011 03  8721·7
 2011 02  319·4
 2011 01  3329.1
 2010 12 1118·7
 2010 11 4123·1
 2010 10 9622·2
 2010 09 5027.5
 2010 08 2424.6
 2010 07 6927.1
 2010 06 6030·8
 2010 05 2928.5
 2010 04 1223·1
 2010 03 2823·2
 2010 02 8319.2
 2010 01 8934.6
 2009 12  2319·1
 2009 11  118.0
 2009 10  7727.9
 2009 09  7526·7
 2009 08  3525·6
 2009 07  9326.1
 2009 06  8129·9
 2009 05  5629·2
 2009 04  4724.6
 2009 03  3628·7
 2009 02  5726.5
 2009 01  2542.2
 2008 12 8423.3
 2008 11 8725.8
 2008 10 9429·8
 2008 09 331.3
 2008 08 9837.8
 2008 07 2733.7
 2008 06 439.8
 2008 05 3352·9
 2008 04 6334·2
 2008 03 6443.3
 2008 02 2441.3
 2008 01 8437·2
 2007 12  8044.9
 2007 11  2840.8
 2007 10  1938.0
 2007 09  5046.4
 2007 08  7546·2
 2007 07  7734.3
 2007 06  7654·0
 2007 05  5247.8
 2007 04  9734.3
 2007 03  9142·1
 2007 02  735·0
 2007 01  3245·4
 2006 12 2232.5
 2006 11 7940.1
 2006 10 5141·8
 2006 09 5945.3
 2006 08 5037.9
 2006 07 7144·9
 2006 06 7058.6
 2006 05 2953·5
 2006 04 832·9
 2006 03 2343·9
 2006 02 5341.0
 2006 01 6046·8
 2005 12  4437.0
 2005 11  1945·4
 2005 10  1245.0
 2005 09  9748.7
 2005 08  3541.2
 2005 07  6336·7
 2005 06  8650·6
 2005 05  750·8
 2005 04  8238.4
 2005 03  8935·9
 2005 02  3633·8
 2005 01  8740.9
 2004 12 830·8
 2004 11 5233·6
 2004 10 5237·0
 2004 09 5443.6
 2004 08 6632·0
 2004 07 3439.8
 2004 06 4543.0
 2004 05 5346.9
 2004 04 2942.5
 2004 03 4230.6
 2004 02 5434.4
 2004 01 5338·8
 2003 12  028.1
 2003 11  736·3
 2003 10  4233.5
 2003 09  4844.9
 2003 08  244·7
 2003 07  8733.3
 2003 06  9644·4
 2003 05  5750·2
 2003 04  8639.2
 2003 03  6232·8
 2003 02  3031·6
 2003 01  2538·6
 2002 12 2835.4
 2002 11 4035.2
 2002 10 8145·5
 2002 09 2049.0
 2002 08 2936·6
 2002 07 5140.2
 2002 06 1253·5
 2002 05 3849·6
 2002 04 1339·6
 2002 03 5438.3
 2002 02 1138·3
 2002 01 9651·2
 2001 12  3132·3
 2001 11  2841·6
 2001 10  9142·7
 2001 09  3848·5
 2001 08  5848·9
 2001 07  8249.8
 2001 06  9056·8
 2001 05  3660.0
 2001 04  9549.8
 2001 03  4643.0
 2001 02  7148·2
 2001 01  8149.7
 2000 12 6745.9
 2000 11 7754.4
 2000 10 2255·6
 2000 09 9451·4
 2000 08 2448·4
 2000 07 5845·2
 2000 06 5561·0
 2000 05 1856·6
 2000 04 4246.9
 2000 03 9348.2
 2000 02 953·5
 2000 01 2356.8
 1999 12  2260.9
 1999 11  1650.6
 1999 10  4550.2
 1999 09  355·7
 1999 08  8846·9
 1999 07  8350·7
 1999 06  5356·6
 1999 05  7749·1
 1999 04  9148.0
 1999 03  7544·6
 1999 02  4638.8
 1999 01  8954.7
 1998 12 743.5
 1998 11 9947.5
 1998 10 6044·7
 1998 09 851.3
 1998 08 3545.3
 1998 07 8744.5
 1998 06 5960·5
 1998 05 2855·6
 1998 04 242.2
 1998 03 9548.4
 1998 02 3143·5
 1998 01 6954·1
 1997 12  5739.6
 1997 11  541·6
 1997 10  8844.4
 1997 09  7544.3
 1997 08  7748.4
 1997 07  2439.0
 1997 06  7043·5
 1997 05  1546.2
 1997 04  6037·5
 1997 03  8340.6
 1997 02  3733.5
 1997 01  8351·0
 1996 12 3435.4
 1996 11 3940·2
 1996 10 7935·4
 1996 09 9742.6
 1996 08 4735.0
 1996 07 7349.2
 1996 06 852·8
 1996 05 353.1
 1996 04 7734·4
 1996 03 9330.6
 1996 02 6335.4
 1996 01 6954·0
 1995 12  2234·1
 1995 11  2936.5
 1995 10  540.7
 1995 09  9047.9
 1995 08  846.8
 1995 07  3941.2
 1995 06  2350.1
 1995 05  8550.3
 1995 04  8641·1
 1995 03  434.4
 1995 02  3039.3
 1995 01  9750.1
 1994 12 3238.6
 1994 11 3136.4
 1994 10 6440.9
 1994 09 9638.0
 1994 08 4537.7
 1994 07 5240.0
 1994 06 8746·6
 1994 05 7747.8
 1994 04 5035.7
 1994 03 2230.4
 1994 02 8830.7
 1994 01 5752.2
 1993 12  9948.1
 1993 11  2444·1
 1993 10  7945.5
 1993 09  8252·1
 1993 08  6746.9
 1993 07  6450.6
 1993 06  9952.1
 1993 05  2157.0
 1993 04  5448.9
 1993 03  7442·7
 1993 02  949.4
 1993 01  6749·3
 1992 12 8541·9
 1992 11 1143.7
 1992 10 9944.1
 1992 09 4045.7
 1992 08 1147.2
 1992 07 5643.6
 1992 06 8058·5
 1992 05 8352·2
 1992 04 846·4
 1992 03 1643.2
 1992 02 9140.7
 1992 01 6752.5
 1991 12  7548.8
 1991 11  2249·4
 1991 10  9649·1
 1991 09  8558·5
 1991 08  3846·8
 1991 07  3246.8
 1991 06  8057·6
 1991 05  5761·6
 1991 04  4749·4
 1991 03  2642·0
 1991 02  5853·5
 1991 01  2653.9
 1990 12 7859.4
 1990 11 1255.4
 1990 10 6854.6
 1990 09 6159.2
 1990 08 3257·2
 1990 07 2156·6
 1990 06 7160·2
 1990 05 5758·3
 1990 04 3357·0
 1990 03 950·1
 1990 02 5761.4
 1990 01 3469·9
 1989 12  3258·2
 1989 11  5963.0
 1989 10  3863·0
 1989 09  3465·6
 1989 08  460·4
 1989 07  7757·3
 1989 06  5264.8
 1989 05  2757.0
 1989 04  5055.7
 1989 03  9554.7
 1989 02  6253.1
 1989 01  855·3
 1988 12 9649.5
 1988 11 6957.3
 1988 10 5558.1
 1988 09 9668·0
 1988 08 9056.1
 1988 07 8058.8
 1988 06 4567·5
 1988 05 3460·8
 1988 04 1058·3
 1988 03 3746.3
 1988 02 7051·2
 1988 01 9162·0
 1987 12  5552·4
 1987 11  6952.8
 1987 10  9250·0
 1987 09  6358.5
 1987 08  5157.2
 1987 07  3559·0
 1987 06  9960·4
 1987 05  6756.5
 1987 04  4848.9
 1987 03  1445·5
 1987 02  548·2
 1987 01  4954·3
 1986 12 2139·0
 1986 11 1547·4
 1986 10 4649.7
 1986 09 7752.0
 1986 08 7251.2
 1986 07 6945·1
 1986 06 8754.6
 1986 05 4654.7
 1986 04 2448.5
 1986 03 3241.2
 1986 02 1447·3
 1986 01 7452.2
 1985 12  3040.2
 1985 11  8748·7
 1985 10  4150.1
 1985 09  657·5
 1985 08  6352.4
 1985 07  3853·3
 1985 06  657·4
 1985 05  1151·9
 1985 04  2548·9
 1985 03  2047·9
 1985 02  7147·9
 1985 01  8255·7
 1984 12 4039·5
 1984 11 8745.2
 1984 10 2448.4
 1984 09 4049·7
 1984 08 6047·5
 1984 07 2246·2
 1984 06 7950·7
 1984 05 2944.7
 1984 04 5943·4
 1984 03 3137.6
 1984 02 7342·9
 1984 01 1646.6
 1983 12  3946·1
 1983 11  4647·0
 1983 10  6946.8
 1983 09  9849·8
 1983 08  2445·7
 1983 07  2345·9
 1983 06  5652·1
 1983 05  9247.4
 1983 04  6440·0
 1983 03  4535·2
 1983 02  4539·6
 1983 01  4347·4
 1982 12 3638.5
 1982 11 1740.8
 1982 10 7442.7
 1982 09 2047·1
 1982 08 4044·7
 1982 07 7244.3
 1982 06 849·7
 1982 05 1746·2
 1982 04 044.3
 1982 03 6640·6
 1982 02 3338.2
 1982 01 5350·4
 1981 12  6843·8
 1981 11  8151·8
 1981 10  6249·3
 1981 09  7353.5
 1981 08  1846·5
 1981 07  2348.7
 1981 06  3451.1
 1981 05  4549.6
 1981 04  5240.9
 1981 03  2448.3
 1981 02  1142.2
 1981 01  6457·0
 1980 12 9445·7
 1980 11 4145·1
 1980 10 8049·8
 1980 09 4953.7
 1980 08 9549·6
 1980 07 5546·5
 1980 06 5657·6
 1980 05 4455.0
 1980 04 3046.0
 1980 03 7348·3
 1980 02 7645·8
 1980 01 1858.5
 1979 12  043.7
 1979 11  2653·2
 1979 10  352.3
 1979 09  6557.4
 1979 08  3056·6
 1979 07  7253.7
 1979 06  2463.4
 1979 05  555.2
 1979 04  7148·0
 1979 03  9247.9
 1979 02  5344·7
 1979 01  8148.6
 1978 12 9743.7
 1978 11 9252.0
 1978 10 2750.3
 1978 09 6358.1
 1978 08 1049·9
 1978 07 451·9
 1978 06 1057·4
 1978 05 4554·7
 1978 04 3545·8
 1978 03 8545.7
 1978 02 8945.5
 1978 01 4648.2
 1977 12  2143·7
 1977 11  1746·8
 1977 10  7749.2
 1977 09  1051·7
 1977 08  4540.2
 1977 07  543.2
 1977 06  1154.7
 1977 05  648.4
 1977 04  745·9
 1977 03  8342.3
 1977 02  5642.6
 1977 01  2850·7
 1976 12 3238·6
 1976 11 541.9
 1976 10 9950·8
 1976 09 9654·8
 1976 08 7044.9
 1976 07 5544·7
 1976 06 5250·7
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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: Of Total Unemployed 20-24 years, Women, Percent Unemployed Less than 5 Weeks: 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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