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 Series Title: Percent of Total Job Losers 20 years and over, Women Unemployed 5-14 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 1116·5
 2012 03 1322·6
 2012 02 9223.9
 2012 01 7022·2
 2011 12  9319.0
 2011 11  819·6
 2011 10  6419·5
 2011 09  4318·1
 2011 08  327·2
 2011 07  6324·9
 2011 06  016·8
 2011 05  7716.3
 2011 04  9318.4
 2011 03  6221.5
 2011 02  1324.9
 2011 01  1621·3
 2010 12 3720·8
 2010 11 1019·4
 2010 10 3919·6
 2010 09 3021·1
 2010 08 3726.3
 2010 07 3820·3
 2010 06 4319·1
 2010 05 1316.6
 2010 04 1616.6
 2010 03 419.7
 2010 02 1121.8
 2010 01 8321·0
 2009 12  2720·5
 2009 11  9022.3
 2009 10  5819·0
 2009 09  8522·8
 2009 08  4430·3
 2009 07  126·3
 2009 06  2021·8
 2009 05  8826·9
 2009 04  6728.2
 2009 03  6933·4
 2009 02  6135·9
 2009 01  8630·7
 2008 12 2233·4
 2008 11 5229·7
 2008 10 6828·3
 2008 09 9930·8
 2008 08 6035.4
 2008 07 3035.2
 2008 06 5527·4
 2008 05 7026.9
 2008 04 5534·2
 2008 03 1136.3
 2008 02 5932·0
 2008 01 6833·9
 2007 12  931.2
 2007 11  2627.0
 2007 10  4327.4
 2007 09  8929·6
 2007 08  4639.5
 2007 07  3140·9
 2007 06  9625.7
 2007 05  5027.3
 2007 04  1727·9
 2007 03  932·9
 2007 02  2934·2
 2007 01  9635.4
 2006 12 9728·8
 2006 11 6631·4
 2006 10 8128·8
 2006 09 9627.5
 2006 08 8736·9
 2006 07 3330·5
 2006 06 1525·0
 2006 05 4429·9
 2006 04 1226·6
 2006 03 6828.9
 2006 02 1929·0
 2006 01 6032.6
 2005 12  2331.8
 2005 11  5132.5
 2005 10  529.9
 2005 09  8833·2
 2005 08  9440·8
 2005 07  9033·4
 2005 06  1225.2
 2005 05  9626·1
 2005 04  2728.7
 2005 03  1630·7
 2005 02  228·7
 2005 01  7930.3
 2004 12 4629·6
 2004 11 8532·4
 2004 10 6329.6
 2004 09 5627.2
 2004 08 234.7
 2004 07 8129.2
 2004 06 830.0
 2004 05 7124·7
 2004 04 7128.0
 2004 03 828·2
 2004 02 7629.5
 2004 01 9327.7
 2003 12  5330·9
 2003 11  9929.0
 2003 10  2826.6
 2003 09  1728.5
 2003 08  7334·7
 2003 07  1029·9
 2003 06  5324·8
 2003 05  6124.2
 2003 04  8123.6
 2003 03  2331·0
 2003 02  6432·7
 2003 01  7028·4
 2002 12 5329.0
 2002 11 4528.8
 2002 10 9823·7
 2002 09 1325·4
 2002 08 9033·9
 2002 07 729·0
 2002 06 1926.8
 2002 05 8428.4
 2002 04 1729.1
 2002 03 6632.6
 2002 02 1432·8
 2002 01 131.5
 2001 12  8437.1
 2001 11  432.2
 2001 10  9632·0
 2001 09  1033·2
 2001 08  6640.2
 2001 07  2734·2
 2001 06  426.0
 2001 05  8029.2
 2001 04  6429.9
 2001 03  6635.8
 2001 02  9930·5
 2001 01  430.8
 2000 12 434.9
 2000 11 8029·9
 2000 10 7027·6
 2000 09 132.7
 2000 08 3542·4
 2000 07 4833.1
 2000 06 3021.9
 2000 05 1731·0
 2000 04 3432·4
 2000 03 7832.7
 2000 02 1735.9
 2000 01 1928.5
 1999 12  035.0
 1999 11  129.9
 1999 10  9423·7
 1999 09  330.6
 1999 08  5835·5
 1999 07  7435.5
 1999 06  4823.9
 1999 05  8628.3
 1999 04  6127·8
 1999 03  7932·7
 1999 02  9235·4
 1999 01  1428·6
 1998 12 8133.8
 1998 11 2329.5
 1998 10 6429.9
 1998 09 5631.5
 1998 08 2142.0
 1998 07 3634·0
 1998 06 2829·9
 1998 05 530.9
 1998 04 632·6
 1998 03 7634.1
 1998 02 7133.0
 1998 01 8125.0
 1997 12  8532.7
 1997 11  2432.3
 1997 10  526·8
 1997 09  2828.9
 1997 08  3438.9
 1997 07  8731·1
 1997 06  7028.6
 1997 05  1530.7
 1997 04  5536·5
 1997 03  9733.1
 1997 02  2734.0
 1997 01  3629·3
 1996 12 7135·7
 1996 11 926·3
 1996 10 6531.2
 1996 09 1133.1
 1996 08 3340.0
 1996 07 731.5
 1996 06 9623.0
 1996 05 8325·4
 1996 04 1825.8
 1996 03 9633·1
 1996 02 5937·5
 1996 01 2225.3
 1995 12  2436·8
 1995 11  833.6
 1995 10  1532·6
 1995 09  2132·8
 1995 08  7837.4
 1995 07  9933.1
 1995 06  5423.8
 1995 05  027.6
 1995 04  3132.7
 1995 03  5231·9
 1995 02  8933·5
 1995 01  426·7
 1994 12 5632·7
 1994 11 7330.6
 1994 10 5628·4
 1994 09 032·1
 1994 08 5538.1
 1994 07 9431.0
 1994 06 1824·3
 1994 05 8425.4
 1994 04 5429.0
 1994 03 7132.8
 1994 02 6535.3
 1994 01 7525·9
 1993 12  229.7
 1993 11  8628·2
 1993 10  826·3
 1993 09  1631.3
 1993 08  7531.5
 1993 07  4529.9
 1993 06  8628·4
 1993 05  7726.5
 1993 04  7328.2
 1993 03  8128.9
 1993 02  6132·5
 1993 01  5124.6
 1992 12 2227·0
 1992 11 5026.4
 1992 10 2126.1
 1992 09 5925·8
 1992 08 7228·8
 1992 07 3327·3
 1992 06 8024.6
 1992 05 4424·8
 1992 04 9827·0
 1992 03 3731·8
 1992 02 7535.1
 1992 01 7531·3
 1991 12  231.1
 1991 11  9428.7
 1991 10  6832.5
 1991 09  4733·1
 1991 08  732.1
 1991 07  6033.5
 1991 06  4931·3
 1991 05  7835.0
 1991 04  6637·2
 1991 03  1738·1
 1991 02  2938·9
 1991 01  1335·0
 1990 12 5240·1
 1990 11 7232·9
 1990 10 4636.3
 1990 09 2139.2
 1990 08 6736.1
 1990 07 5731·8
 1990 06 6534·2
 1990 05 9634.0
 1990 04 3636.2
 1990 03 2741·0
 1990 02 7136.4
 1990 01 5732.0
 1989 12  938·2
 1989 11  6531.2
 1989 10  7932·4
 1989 09  4935·6
 1989 08  6137.9
 1989 07  7734.1
 1989 06  2732·1
 1989 05  3933.2
 1989 04  9435.0
 1989 03  9535.2
 1989 02  7635·7
 1989 01  2437.1
 1988 12 3238.5
 1988 11 7634.7
 1988 10 1532.7
 1988 09 2129·7
 1988 08 2628·8
 1988 07 031·0
 1988 06 5728.4
 1988 05 7531·5
 1988 04 5029·1
 1988 03 7637.3
 1988 02 4033·9
 1988 01 5531.7
 1987 12  732·2
 1987 11  3431.8
 1987 10  2729·8
 1987 09  5531.3
 1987 08  2036.9
 1987 07  3129·7
 1987 06  531.5
 1987 05  9528·6
 1987 04  4126·9
 1987 03  4934.4
 1987 02  8734·7
 1987 01  1830·2
 1986 12 4533.8
 1986 11 9435.6
 1986 10 1231·7
 1986 09 9329·1
 1986 08 3233·1
 1986 07 9835.2
 1986 06 4230·1
 1986 05 1531.8
 1986 04 2730.7
 1986 03 1834.8
 1986 02 6534.6
 1986 01 332·3
 1985 12  8137·7
 1985 11  3634·8
 1985 10  9429·3
 1985 09  131·7
 1985 08  7033.2
 1985 07  5732·0
 1985 06  6726·8
 1985 05  7830.6
 1985 04  9328.5
 1985 03  1329.8
 1985 02  4735.4
 1985 01  2930·2
 1984 12 7637.1
 1984 11 6232.6
 1984 10 2129.6
 1984 09 7230·0
 1984 08 7030.4
 1984 07 8526·8
 1984 06 324.8
 1984 05 5122.5
 1984 04 4926·1
 1984 03 8833·3
 1984 02 3131·7
 1984 01 3629·8
 1983 12  1529·1
 1983 11  428·0
 1983 10  6627.4
 1983 09  2127·7
 1983 08  9332·3
 1983 07  8825.8
 1983 06  9821·8
 1983 05  2521.9
 1983 04  3224·3
 1983 03  2327.3
 1983 02  3928.8
 1983 01  9226.8
 1982 12 931·6
 1982 11 1428.8
 1982 10 2730.4
 1982 09 9129·9
 1982 08 2432.8
 1982 07 9533.3
 1982 06 2530.3
 1982 05 1729.8
 1982 04 230.5
 1982 03 2033·3
 1982 02 2135.6
 1982 01 8830.9
 1981 12  9435.4
 1981 11  7331·3
 1981 10  2731.6
 1981 09  4931·4
 1981 08  7436.7
 1981 07  6031·7
 1981 06  8226.1
 1981 05  6928.6
 1981 04  4430·5
 1981 03  1133.8
 1981 02  4934.2
 1981 01  4127.7
 1980 12 2932·2
 1980 11 8531·4
 1980 10 1529.5
 1980 09 8631.4
 1980 08 7935·8
 1980 07 6234·9
 1980 06 9332·6
 1980 05 4730.7
 1980 04 7031·8
 1980 03 4936·1
 1980 02 2137·7
 1980 01 9432·4
 1979 12  139·4
 1979 11  7836.3
 1979 10  6232·9
 1979 09  1938.3
 1979 08  9935.3
 1979 07  638.3
 1979 06  427·3
 1979 05  4429.3
 1979 04  1331.0
 1979 03  1335.4
 1979 02  6038·9
 1979 01  1134·8
 1978 12 2036.1
 1978 11 830·6
 1978 10 6728·9
 1978 09 9133·3
 1978 08 1939.9
 1978 07 2029.8
 1978 06 8927·6
 1978 05 7623.3
 1978 04 3630.3
 1978 03 836·6
 1978 02 1432.5
 1978 01 8732·8
 1977 12  2235·0
 1977 11  5332.5
 1977 10  5430.4
 1977 09  6733.3
 1977 08  5136.6
 1977 07  6029·8
 1977 06  4727.3
 1977 05  8526·4
 1977 04  2423.4
 1977 03  6332.6
 1977 02  5732·6
 1977 01  3633·9
 1976 12 6632.8
 1976 11 1835·8
 1976 10 7029.3
 1976 09 3927·0
 1976 08 2935·6
 1976 07 526.1
 1976 06 024·0
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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: Percent of Total Job Losers 20 years and over, Women Unemployed 5-14 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

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