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 Series Title: Percent of Total Job Losers 20 years and over, Women Unemployed 27 Weeks and over: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 6947·7
 2012 03 9142·1
 2012 02 7943.5
 2012 01 5341·8
 2011 12  6045·8
 2011 11  4647.7
 2011 10  6147·9
 2011 09  8649.1
 2011 08  8044·0
 2011 07  6142.5
 2011 06  743.2
 2011 05  7948.6
 2011 04  7948·3
 2011 03  1947·3
 2011 02  2844.7
 2011 01  7845.6
 2010 12 3348.1
 2010 11 2646.7
 2010 10 6448·7
 2010 09 5146.8
 2010 08 4144.4
 2010 07 1447·0
 2010 06 7746·4
 2010 05 9349.4
 2010 04 3049·1
 2010 03 3945·4
 2010 02 5541.1
 2010 01 2342.1
 2009 12  5041.7
 2009 11  8443.7
 2009 10  1142·7
 2009 09  8441·8
 2009 08  7635·9
 2009 07  5531.7
 2009 06  8228·4
 2009 05  4729.4
 2009 04  928.2
 2009 03  8322.4
 2009 02  3321·2
 2009 01  421·4
 2008 12 7423.5
 2008 11 2521·6
 2008 10 4924.5
 2008 09 7623.7
 2008 08 2116.8
 2008 07 6216.5
 2008 06 4516·4
 2008 05 720.2
 2008 04 2616.8
 2008 03 312·7
 2008 02 5914·0
 2008 01 6416.5
 2007 12  8817·3
 2007 11  7720.3
 2007 10  5320·7
 2007 09  4416·9
 2007 08  3514·4
 2007 07  4114.1
 2007 06  1411.8
 2007 05  6413·9
 2007 04  1514.7
 2007 03  7913·5
 2007 02  5715.4
 2007 01  7013.5
 2006 12 515.5
 2006 11 9515.7
 2006 10 1918·7
 2006 09 2916·7
 2006 08 414·6
 2006 07 2112·7
 2006 06 6213.5
 2006 05 3717·3
 2006 04 3920.1
 2006 03 1516·3
 2006 02 7517·1
 2006 01 1314·2
 2005 12  5915·4
 2005 11  5819.2
 2005 10  7117·9
 2005 09  9917.3
 2005 08  3917.2
 2005 07  5613·7
 2005 06  8714·9
 2005 05  6722.1
 2005 04  8122·0
 2005 03  4121.9
 2005 02  8623.4
 2005 01  919·2
 2004 12 1021.6
 2004 11 7119·7
 2004 10 5719·9
 2004 09 4621·6
 2004 08 7620·7
 2004 07 2518·6
 2004 06 1219·5
 2004 05 2022.4
 2004 04 5423·3
 2004 03 1226·5
 2004 02 8825.1
 2004 01 224.9
 2003 12  4521·8
 2003 11  6222·2
 2003 10  5025.7
 2003 09  8526.3
 2003 08  7420.5
 2003 07  3322·0
 2003 06  8421.7
 2003 05  8823.4
 2003 04  9224.4
 2003 03  522.9
 2003 02  420.8
 2003 01  5721.4
 2002 12 7424.1
 2002 11 8724.7
 2002 10 4824.9
 2002 09 5924·8
 2002 08 2022·3
 2002 07 820.8
 2002 06 7818·8
 2002 05 8920·5
 2002 04 5617.9
 2002 03 2714.8
 2002 02 8213.5
 2002 01 6611.0
 2001 12  3211.3
 2001 11  2312·5
 2001 10  7410.0
 2001 09  3510.0
 2001 08  249.8
 2001 07  68·0
 2001 06  917·2
 2001 05  638.3
 2001 04  3111.0
 2001 03  511.4
 2001 02  967·8
 2001 01  479·9
 2000 12 809.7
 2000 11 7713·8
 2000 10 7713·6
 2000 09 410·5
 2000 08 218.3
 2000 07 56·3
 2000 06 468.1
 2000 05 799·6
 2000 04 2911.5
 2000 03 948·8
 2000 02 429·9
 2000 01 4011·8
 1999 12  410.5
 1999 11  7710.9
 1999 10  2813·5
 1999 09  8311.3
 1999 08  729·4
 1999 07  97.1
 1999 06  9110.2
 1999 05  2610.3
 1999 04  8411·5
 1999 03  7413·4
 1999 02  4511·9
 1999 01  1410.3
 1998 12 1410·6
 1998 11 7710·3
 1998 10 2710.6
 1998 09 1511·9
 1998 08 6410·4
 1998 07 4911·2
 1998 06 011·4
 1998 05 2311.6
 1998 04 5713.5
 1998 03 4910·9
 1998 02 5211.0
 1998 01 5810·5
 1997 12  4612·0
 1997 11  5612.3
 1997 10  9614.9
 1997 09  6515.4
 1997 08  514·0
 1997 07  7812.9
 1997 06  7013.7
 1997 05  1112·3
 1997 04  3412.1
 1997 03  4712.4
 1997 02  3615·7
 1997 01  9214·0
 1996 12 6014.2
 1996 11 1916.2
 1996 10 8316.7
 1996 09 2616·1
 1996 08 3217·0
 1996 07 7615.4
 1996 06 2414.7
 1996 05 5714·2
 1996 04 2515·9
 1996 03 2418.9
 1996 02 9617·6
 1996 01 5514·8
 1995 12  4114.5
 1995 11  9614.0
 1995 10  6213.6
 1995 09  1412.9
 1995 08  513·7
 1995 07  4715.4
 1995 06  1112.6
 1995 05  5317·4
 1995 04  6618·2
 1995 03  5914·9
 1995 02  5415·6
 1995 01  1512.8
 1994 12 116·1
 1994 11 4017·2
 1994 10 3117.6
 1994 09 7117·1
 1994 08 1014.7
 1994 07 2017.1
 1994 06 317.8
 1994 05 1523·0
 1994 04 1821·6
 1994 03 5620.4
 1994 02 5920·4
 1994 01 6520·5
 1993 12  7526·1
 1993 11  3025.7
 1993 10  1127.0
 1993 09  6525·1
 1993 08  5724.3
 1993 07  4925.9
 1993 06  9826.9
 1993 05  8525.7
 1993 04  6521.4
 1993 03  4424·9
 1993 02  8325.4
 1993 01  1925·2
 1992 12 2324·9
 1992 11 7226.8
 1992 10 5329·3
 1992 09 8627·9
 1992 08 8326·3
 1992 07 1527·4
 1992 06 2126·6
 1992 05 3126.7
 1992 04 1926·8
 1992 03 7823·6
 1992 02 2420.5
 1992 01 2120·5
 1991 12  3119.5
 1991 11  9419·4
 1991 10  2715.1
 1991 09  5214.9
 1991 08  4615.8
 1991 07  2016.0
 1991 06  1713.1
 1991 05  4312.7
 1991 04  1411·3
 1991 03  3710.1
 1991 02  711·7
 1991 01  3710.3
 1990 12 1010·7
 1990 11 5110·9
 1990 10 348.2
 1990 09 510.0
 1990 08 349.8
 1990 07 9511.2
 1990 06 6211·0
 1990 05 398.1
 1990 04 129.4
 1990 03 258·8
 1990 02 789.3
 1990 01 598.5
 1989 12  958·0
 1989 11  227.7
 1989 10  959·1
 1989 09  108.4
 1989 08  579·1
 1989 07  938.6
 1989 06  528·7
 1989 05  609·5
 1989 04  9810·0
 1989 03  7111·3
 1989 02  109·8
 1989 01  49·5
 1988 12 4610.4
 1988 11 1110.4
 1988 10 5913.3
 1988 09 6111.0
 1988 08 4915.1
 1988 07 9513·6
 1988 06 1012.1
 1988 05 7413·7
 1988 04 8313·1
 1988 03 3014·6
 1988 02 315·1
 1988 01 1410·0
 1987 12  4913.1
 1987 11  4712.7
 1987 10  9916·3
 1987 09  7315.4
 1987 08  7213·9
 1987 07  414.4
 1987 06  8611.9
 1987 05  7215.6
 1987 04  216.0
 1987 03  8117·0
 1987 02  7814·9
 1987 01  5414·8
 1986 12 1516·2
 1986 11 8612·2
 1986 10 1215.3
 1986 09 8916.4
 1986 08 1116.6
 1986 07 4915.6
 1986 06 5117·2
 1986 05 7116.5
 1986 04 1617·6
 1986 03 2817·0
 1986 02 8414·7
 1986 01 1812.8
 1985 12  7913.9
 1985 11  515·3
 1985 10  2215.0
 1985 09  7515·9
 1985 08  7713·8
 1985 07  8616·0
 1985 06  519.0
 1985 05  1218·3
 1985 04  1019·2
 1985 03  220.4
 1985 02  9416·8
 1985 01  2216.4
 1984 12 220·7
 1984 11 1018·6
 1984 10 7718.0
 1984 09 2417.2
 1984 08 619·9
 1984 07 9221·9
 1984 06 6921·0
 1984 05 6323.3
 1984 04 9523.1
 1984 03 5520.9
 1984 02 623.4
 1984 01 722.8
 1983 12  7021·6
 1983 11  3025·1
 1983 10  5126·2
 1983 09  5226·6
 1983 08  5726·6
 1983 07  7328.4
 1983 06  9231.0
 1983 05  1532.7
 1983 04  629.9
 1983 03  6727·2
 1983 02  4224·7
 1983 01  4123.1
 1982 12 9223·1
 1982 11 1821·6
 1982 10 4020·7
 1982 09 019·3
 1982 08 1619.8
 1982 07 5819·1
 1982 06 4718·5
 1982 05 8520·1
 1982 04 417.6
 1982 03 4314.7
 1982 02 5214·8
 1982 01 1513.1
 1981 12  514.2
 1981 11  5512.5
 1981 10  6813·9
 1981 09  3613.7
 1981 08  9516.9
 1981 07  116·5
 1981 06  3217.6
 1981 05  1518.4
 1981 04  7418.2
 1981 03  1216·7
 1981 02  818·6
 1981 01  4718·2
 1980 12 6817·0
 1980 11 4518·6
 1980 10 8316·3
 1980 09 5115.0
 1980 08 2812·6
 1980 07 8112.4
 1980 06 7112·7
 1980 05 7110.9
 1980 04 2710·2
 1980 03 2810·0
 1980 02 88·6
 1980 01 778·8
 1979 12  688·6
 1979 11  167·0
 1979 10  598.5
 1979 09  6211·8
 1979 08  759.0
 1979 07  38.6
 1979 06  109.9
 1979 05  4613.1
 1979 04  9913.1
 1979 03  7010·4
 1979 02  758·7
 1979 01  7310.1
 1978 12 156.7
 1978 11 248·5
 1978 10 9211·0
 1978 09 1212·2
 1978 08 2414.5
 1978 07 9614.1
 1978 06 2415·2
 1978 05 5716·6
 1978 04 5012.5
 1978 03 4313.8
 1978 02 5813.5
 1978 01 2715.0
 1977 12  4513·1
 1977 11  4716.5
 1977 10  719.9
 1977 09  6618.6
 1977 08  8418·5
 1977 07  1421.4
 1977 06  1019.4
 1977 05  4424·7
 1977 04  6624.2
 1977 03  7620.9
 1977 02  2817·2
 1977 01  5417·9
 1976 12 1821.7
 1976 11 9023.2
 1976 10 5122.4
 1976 09 1720.6
 1976 08 9023.6
 1976 07 3726.0
 1976 06 9128·7
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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.
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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 27 Weeks and over: 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

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