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 Series Title: Percent of Total Job Losers 20 years and over, Women Unemployed 15-26 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 6018.8
 2012 03 917·6
 2012 02 2117·4
 2012 01 2912.8
 2011 12  9214·4
 2011 11  7015.6
 2011 10  2515.2
 2011 09  4914·0
 2011 08  1512·1
 2011 07  5411.3
 2011 06  5513.0
 2011 05  9316·5
 2011 04  8016·7
 2011 03  4318·0
 2011 02  2416.1
 2011 01  413.3
 2010 12 6213·8
 2010 11 4414.1
 2010 10 6916.3
 2010 09 5315·5
 2010 08 6212.4
 2010 07 8912·6
 2010 06 5415·4
 2010 05 3215.8
 2010 04 417·5
 2010 03 3319·2
 2010 02 6720.1
 2010 01 6216·8
 2009 12  4018·0
 2009 11  5917·6
 2009 10  1920·4
 2009 09  8619.0
 2009 08  4416.9
 2009 07  7419·0
 2009 06  5025·4
 2009 05  7422·0
 2009 04  1822·0
 2009 03  822.1
 2009 02  2318.8
 2009 01  1914.0
 2008 12 8616.2
 2008 11 1915.5
 2008 10 2416.2
 2008 09 4116·1
 2008 08 9915·9
 2008 07 8814·4
 2008 06 6717·4
 2008 05 8418.1
 2008 04 3219·4
 2008 03 2217·5
 2008 02 9017·2
 2008 01 1713.0
 2007 12  8615·6
 2007 11  5313·6
 2007 10  5616·9
 2007 09  3519·4
 2007 08  8514·0
 2007 07  3710·3
 2007 06  5216·4
 2007 05  5521.1
 2007 04  8120.8
 2007 03  5517·9
 2007 02  9215·6
 2007 01  2313.7
 2006 12 4917.5
 2006 11 1519.1
 2006 10 1317.2
 2006 09 819·0
 2006 08 9015·4
 2006 07 4914.8
 2006 06 7912.6
 2006 05 417.3
 2006 04 2718.5
 2006 03 1118·3
 2006 02 7619·9
 2006 01 2917·1
 2005 12  1318.0
 2005 11  8518.6
 2005 10  1918·3
 2005 09  2917.3
 2005 08  2213·7
 2005 07  7813.4
 2005 06  4516.4
 2005 05  7119.4
 2005 04  5517·3
 2005 03  1921.2
 2005 02  1618·6
 2005 01  5115.6
 2004 12 3718·5
 2004 11 6719.0
 2004 10 2116·5
 2004 09 8819·4
 2004 08 1916·4
 2004 07 315·6
 2004 06 7317·1
 2004 05 2519.1
 2004 04 7518.3
 2004 03 3417·7
 2004 02 917·7
 2004 01 3218.0
 2003 12  718·2
 2003 11  9119·8
 2003 10  9322·1
 2003 09  316.9
 2003 08  3915.8
 2003 07  3016·8
 2003 06  1217.0
 2003 05  5718·3
 2003 04  2321.0
 2003 03  3419·7
 2003 02  7917.8
 2003 01  3817·0
 2002 12 3317·1
 2002 11 1017·7
 2002 10 3220.3
 2002 09 1516·9
 2002 08 7014.8
 2002 07 8818.0
 2002 06 3521.1
 2002 05 8323.1
 2002 04 5922.9
 2002 03 2524·1
 2002 02 7420·9
 2002 01 6018.7
 2001 12  5117.7
 2001 11  316.1
 2001 10  6217·7
 2001 09  9118.2
 2001 08  2112.5
 2001 07  3012·8
 2001 06  3911.9
 2001 05  4518·7
 2001 04  7014·4
 2001 03  3517·6
 2001 02  6619·1
 2001 01  1613.8
 2000 12 2213·1
 2000 11 7612.7
 2000 10 3115.2
 2000 09 2316·2
 2000 08 2912.8
 2000 07 3513.1
 2000 06 4813.0
 2000 05 1115.6
 2000 04 6515·2
 2000 03 1916·6
 2000 02 5314.0
 2000 01 4810·7
 1999 12  319.9
 1999 11  5811·1
 1999 10  1115.0
 1999 09  2812·8
 1999 08  5316·2
 1999 07  1015.4
 1999 06  915·4
 1999 05  7218.4
 1999 04  8017.7
 1999 03  5516·8
 1999 02  6016·7
 1999 01  2214·0
 1998 12 8817·4
 1998 11 217.8
 1998 10 115.4
 1998 09 4817.2
 1998 08 7912.6
 1998 07 8110·4
 1998 06 9612·7
 1998 05 4415.1
 1998 04 7610·1
 1998 03 4917.5
 1998 02 3312.6
 1998 01 3012·7
 1997 12  3014·1
 1997 11  8814.3
 1997 10  2413·2
 1997 09  4918.4
 1997 08  1715.5
 1997 07  517.2
 1997 06  716.4
 1997 05  7020.5
 1997 04  3818·2
 1997 03  3016.6
 1997 02  4612·0
 1997 01  8911.6
 1996 12 1613.7
 1996 11 2117·4
 1996 10 2817.9
 1996 09 2316.6
 1996 08 411·2
 1996 07 5910.7
 1996 06 6515·3
 1996 05 1718.0
 1996 04 7625·1
 1996 03 5122.2
 1996 02 9716·5
 1996 01 4014·6
 1995 12  3318.9
 1995 11  2917.4
 1995 10  8514·2
 1995 09  8716·2
 1995 08  012.2
 1995 07  4912·4
 1995 06  1813·6
 1995 05  7522.7
 1995 04  2718·7
 1995 03  9319.4
 1995 02  920·0
 1995 01  5116.0
 1994 12 9017·3
 1994 11 6817.3
 1994 10 9522·6
 1994 09 8216.9
 1994 08 9014·8
 1994 07 413.8
 1994 06 3915·8
 1994 05 6318·7
 1994 04 5120·1
 1994 03 5920.6
 1994 02 3018.8
 1994 01 1313.2
 1993 12  2415·2
 1993 11  1516·3
 1993 10  7918·7
 1993 09  7617.2
 1993 08  8516·8
 1993 07  7815·4
 1993 06  2616·9
 1993 05  2219·5
 1993 04  3321·8
 1993 03  7919.8
 1993 02  3217.3
 1993 01  4317.1
 1992 12 9520·1
 1992 11 7617·8
 1992 10 8716·9
 1992 09 6117.1
 1992 08 2016.1
 1992 07 5015.1
 1992 06 218.9
 1992 05 1822.5
 1992 04 8422.6
 1992 03 719·9
 1992 02 1518·4
 1992 01 8318.8
 1991 12  8818·6
 1991 11  8019·9
 1991 10  9020.6
 1991 09  5219·3
 1991 08  5618·2
 1991 07  2516.3
 1991 06  1518.9
 1991 05  4320·9
 1991 04  4020·2
 1991 03  2318·8
 1991 02  114·3
 1991 01  014.8
 1990 12 1415·6
 1990 11 8113.2
 1990 10 8814·2
 1990 09 9317.1
 1990 08 7911·4
 1990 07 3116·1
 1990 06 3816.6
 1990 05 1520·4
 1990 04 6015.8
 1990 03 3014.7
 1990 02 3814·5
 1990 01 8513·4
 1989 12  814·7
 1989 11  5913.2
 1989 10  315.5
 1989 09  4915·3
 1989 08  9913·9
 1989 07  2416.3
 1989 06  6913·9
 1989 05  7416.5
 1989 04  3116.1
 1989 03  5815.3
 1989 02  012.9
 1989 01  5614.2
 1988 12 3214.8
 1988 11 1711.5
 1988 10 8312·9
 1988 09 1215·0
 1988 08 5116·6
 1988 07 8314·3
 1988 06 3118·5
 1988 05 8918.0
 1988 04 6416·5
 1988 03 6219·8
 1988 02 8317.1
 1988 01 5315·4
 1987 12  7014·8
 1987 11  8515.5
 1987 10  114.0
 1987 09  015.8
 1987 08  9713·6
 1987 07  1115.9
 1987 06  7319·7
 1987 05  4919·6
 1987 04  9320·4
 1987 03  2016·6
 1987 02  1215·3
 1987 01  4413.1
 1986 12 3414·8
 1986 11 1815·4
 1986 10 5614·8
 1986 09 5417·1
 1986 08 2117.3
 1986 07 3811.7
 1986 06 6714·7
 1986 05 7418·3
 1986 04 7916.3
 1986 03 3616.7
 1986 02 3416·9
 1986 01 2116.6
 1985 12  5813.6
 1985 11  9412.5
 1985 10  7015.7
 1985 09  4115·8
 1985 08  3414.9
 1985 07  1913.3
 1985 06  1215.5
 1985 05  318·0
 1985 04  818·2
 1985 03  4116·2
 1985 02  2315.3
 1985 01  113.6
 1984 12 411.2
 1984 11 1915.0
 1984 10 9114.1
 1984 09 5315.7
 1984 08 7313·7
 1984 07 3214.8
 1984 06 3019.6
 1984 05 522.6
 1984 04 9022.1
 1984 03 8916.6
 1984 02 7616.7
 1984 01 2415·7
 1983 12  5616.7
 1983 11  2014.8
 1983 10  9315·9
 1983 09  614·4
 1983 08  9613.4
 1983 07  8316.5
 1983 06  6917.2
 1983 05  7020.3
 1983 04  6124·0
 1983 03  5821·2
 1983 02  1620.2
 1983 01  5919·9
 1982 12 2617.9
 1982 11 5319.3
 1982 10 7315·6
 1982 09 4316.7
 1982 08 9118.6
 1982 07 9916.0
 1982 06 320·4
 1982 05 1520·3
 1982 04 8121.2
 1982 03 5320·4
 1982 02 9317.0
 1982 01 9614.1
 1981 12  4812·7
 1981 11  9716.8
 1981 10  5516·5
 1981 09  2916.5
 1981 08  6612.7
 1981 07  3615.3
 1981 06  2920·1
 1981 05  8320·7
 1981 04  3720·0
 1981 03  417.3
 1981 02  7718.2
 1981 01  5316.5
 1980 12 8418.2
 1980 11 5617.2
 1980 10 8716·9
 1980 09 5719·0
 1980 08 5917.3
 1980 07 7414.4
 1980 06 7115.4
 1980 05 4018·8
 1980 04 3821.0
 1980 03 6418·5
 1980 02 6815.9
 1980 01 7115.7
 1979 12  1914·1
 1979 11  5912·0
 1979 10  4115·0
 1979 09  4413.4
 1979 08  3012.5
 1979 07  1511.6
 1979 06  7714.1
 1979 05  7918·7
 1979 04  1916·2
 1979 03  1318.4
 1979 02  8914.4
 1979 01  1812.8
 1978 12 6414.9
 1978 11 6116.3
 1978 10 1616·9
 1978 09 3215·8
 1978 08 6311·2
 1978 07 9011.2
 1978 06 1915·8
 1978 05 1420·0
 1978 04 4320·8
 1978 03 5619.2
 1978 02 8818.9
 1978 01 8516·0
 1977 12  5418.0
 1977 11  4117·3
 1977 10  3417·5
 1977 09  8717·2
 1977 08  7014.6
 1977 07  5213·8
 1977 06  9716·1
 1977 05  9018·6
 1977 04  9422·4
 1977 03  2118·7
 1977 02  3718·4
 1977 01  8814.8
 1976 12 4915.7
 1976 11 413·2
 1976 10 4514·8
 1976 09 017·2
 1976 08 8615.0
 1976 07 8216.4
 1976 06 3118·2
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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.
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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: Percent of Total Job Losers 20 years and over, Women Unemployed 15-26 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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