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 Series Title: Of Total Unemployed 35-44 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 3019.0
 2012 03 7513·0
 2012 02 3114·3
 2012 01 618.9
 2011 12  3515·1
 2011 11  5215.2
 2011 10  9514·6
 2011 09  3117·8
 2011 08  718.7
 2011 07  2817·3
 2011 06  6121·9
 2011 05  5420.6
 2011 04  9515·9
 2011 03  859·9
 2011 02  4012·9
 2011 01  2016.7
 2010 12 7518.6
 2010 11 2714·4
 2010 10 7117.1
 2010 09 9718.1
 2010 08 4714·3
 2010 07 8917·5
 2010 06 1720·0
 2010 05 8116.0
 2010 04 3813.3
 2010 03 2514·3
 2010 02 6516.1
 2010 01 9017.3
 2009 12  9718.2
 2009 11  1815.5
 2009 10  2820·3
 2009 09  6915·8
 2009 08  9917·3
 2009 07  7421·9
 2009 06  4523·8
 2009 05  8621·9
 2009 04  4620·4
 2009 03  2521·2
 2009 02  7819.0
 2009 01  3529.7
 2008 12 6225·5
 2008 11 2826.8
 2008 10 1426·5
 2008 09 3725.9
 2008 08 9833·3
 2008 07 6431.5
 2008 06 6829.6
 2008 05 3429·6
 2008 04 2924.9
 2008 03 4028·7
 2008 02 7733·5
 2008 01 9632·1
 2007 12  5526.6
 2007 11  8735·1
 2007 10  329.5
 2007 09  1832·7
 2007 08  330.9
 2007 07  6329·6
 2007 06  3532.4
 2007 05  1830·7
 2007 04  2232·6
 2007 03  4833.2
 2007 02  8533·3
 2007 01  4032.9
 2006 12 8831.1
 2006 11 5034.9
 2006 10 9231·1
 2006 09 5435·9
 2006 08 234.1
 2006 07 041·6
 2006 06 1841.7
 2006 05 5428.9
 2006 04 8733·1
 2006 03 5534.5
 2006 02 5127·6
 2006 01 5932·0
 2005 12  9625.6
 2005 11  9530·7
 2005 10  430·9
 2005 09  1339·6
 2005 08  329·6
 2005 07  2931.2
 2005 06  1639·3
 2005 05  8535·8
 2005 04  928·3
 2005 03  8827.3
 2005 02  4828·3
 2005 01  6930·3
 2004 12 3931·9
 2004 11 2832.0
 2004 10 8829.8
 2004 09 8532·0
 2004 08 4424.2
 2004 07 3128·4
 2004 06 5133.4
 2004 05 7628.1
 2004 04 9825.8
 2004 03 329.1
 2004 02 7222·9
 2004 01 1229.9
 2003 12  325·0
 2003 11  7724.8
 2003 10  1729·1
 2003 09  8827·5
 2003 08  8424.8
 2003 07  830·0
 2003 06  7131.6
 2003 05  2134·7
 2003 04  9126·4
 2003 03  7925.1
 2003 02  4932.4
 2003 01  5630·5
 2002 12 9925·1
 2002 11 9629·3
 2002 10 8828·6
 2002 09 6332·2
 2002 08 929.2
 2002 07 9131·4
 2002 06 5031.0
 2002 05 3526·3
 2002 04 4629.3
 2002 03 2028.8
 2002 02 2529.6
 2002 01 9138.8
 2001 12  6131·7
 2001 11  6535.8
 2001 10  2436.6
 2001 09  7732.4
 2001 08  2934·0
 2001 07  3339·9
 2001 06  8652.7
 2001 05  6038·7
 2001 04  5136.0
 2001 03  5535·8
 2001 02  7439.0
 2001 01  3543.2
 2000 12 5141.2
 2000 11 8837.7
 2000 10 7432·3
 2000 09 2242.1
 2000 08 8137·9
 2000 07 1442.3
 2000 06 251·2
 2000 05 6439.6
 2000 04 1533.7
 2000 03 3942.7
 2000 02 9339.8
 2000 01 3042·4
 1999 12  5440.0
 1999 11  9538.4
 1999 10  1147.6
 1999 09  1543.1
 1999 08  2442.8
 1999 07  3939·0
 1999 06  4547·3
 1999 05  3742.2
 1999 04  7442·6
 1999 03  5133·5
 1999 02  631·4
 1999 01  4236.2
 1998 12 8135.1
 1998 11 4039.0
 1998 10 3339·8
 1998 09 9742·2
 1998 08 4441·4
 1998 07 3643·1
 1998 06 8941·2
 1998 05 9839·0
 1998 04 8939.8
 1998 03 9637·4
 1998 02 6137.7
 1998 01 6340.0
 1997 12  6638·8
 1997 11  135.9
 1997 10  6238.9
 1997 09  3633·8
 1997 08  5232·3
 1997 07  6036·1
 1997 06  3140.8
 1997 05  8734·3
 1997 04  4529.2
 1997 03  228.8
 1997 02  3128.7
 1997 01  936.0
 1996 12 7230.0
 1996 11 8534·2
 1996 10 4834·5
 1996 09 2335·2
 1996 08 8330·3
 1996 07 9031·4
 1996 06 9646.3
 1996 05 7137·3
 1996 04 5327.7
 1996 03 2427·0
 1996 02 1336·1
 1996 01 2439.3
 1995 12  8326·0
 1995 11  1827·2
 1995 10  6236.2
 1995 09  7437.2
 1995 08  9735.2
 1995 07  3036·8
 1995 06  3042·1
 1995 05  4329·7
 1995 04  4830.1
 1995 03  4131.8
 1995 02  3230·1
 1995 01  7233.3
 1994 12 931·4
 1994 11 5732.7
 1994 10 333·5
 1994 09 3336·3
 1994 08 8232·0
 1994 07 1035.6
 1994 06 836.1
 1994 05 1829.2
 1994 04 9121·6
 1994 03 5728.2
 1994 02 3424·1
 1994 01 4838·7
 1993 12  8732.6
 1993 11  8033·3
 1993 10  9433.0
 1993 09  6535.5
 1993 08  4631.4
 1993 07  8435.0
 1993 06  2633·0
 1993 05  4033.5
 1993 04  6733·6
 1993 03  326·0
 1993 02  9327·5
 1993 01  6633.5
 1992 12 7732.1
 1992 11 9131.4
 1992 10 8328·7
 1992 09 6237·8
 1992 08 2537.3
 1992 07 3237·4
 1992 06 934.6
 1992 05 7434.9
 1992 04 8728.1
 1992 03 3130·3
 1992 02 825.0
 1992 01 6934·1
 1991 12  6431.0
 1991 11  2134.4
 1991 10  4435.1
 1991 09  4240.3
 1991 08  8038.4
 1991 07  5737·9
 1991 06  342.0
 1991 05  1238·5
 1991 04  8741.6
 1991 03  2237·6
 1991 02  138·1
 1991 01  2344.6
 1990 12 5936·2
 1990 11 2241.8
 1990 10 7343.0
 1990 09 4543.2
 1990 08 9743.9
 1990 07 8943·8
 1990 06 8346.9
 1990 05 7142.9
 1990 04 2741·5
 1990 03 8042.4
 1990 02 1943.9
 1990 01 2144·0
 1989 12  9841·8
 1989 11  7544.6
 1989 10  9444.2
 1989 09  3955·5
 1989 08  8650.1
 1989 07  8247·1
 1989 06  4647·7
 1989 05  9451.6
 1989 04  9246·8
 1989 03  3342·0
 1989 02  3748·3
 1989 01  8041·7
 1988 12 4143·2
 1988 11 8450·4
 1988 10 5651.9
 1988 09 1649·2
 1988 08 8349.3
 1988 07 1642.2
 1988 06 1548.3
 1988 05 4639.7
 1988 04 9342.3
 1988 03 3734.2
 1988 02 5336·5
 1988 01 4046·5
 1987 12  7337.8
 1987 11  7744.0
 1987 10  3151.6
 1987 09  9152.7
 1987 08  4748·8
 1987 07  9547.0
 1987 06  3943·5
 1987 05  2038·9
 1987 04  6637.3
 1987 03  7040·6
 1987 02  8836·1
 1987 01  6939·2
 1986 12 636·9
 1986 11 1040·1
 1986 10 1743·4
 1986 09 847.0
 1986 08 6643.0
 1986 07 4740.0
 1986 06 8941.9
 1986 05 3241·7
 1986 04 7238.3
 1986 03 3740.4
 1986 02 9237.9
 1986 01 5945·6
 1985 12  7436.2
 1985 11  6241·9
 1985 10  3840·2
 1985 09  3347·0
 1985 08  4845.8
 1985 07  2840.8
 1985 06  6541·7
 1985 05  2439·4
 1985 04  9537·9
 1985 03  6842·1
 1985 02  3735.6
 1985 01  2642.2
 1984 12 3932.3
 1984 11 3738.1
 1984 10 4145·5
 1984 09 5848.4
 1984 08 3144·8
 1984 07 1739·7
 1984 06 9045.2
 1984 05 6441·6
 1984 04 4631.5
 1984 03 1638·4
 1984 02 2234·3
 1984 01 1240.0
 1983 12  8537.9
 1983 11  6433·6
 1983 10  036·8
 1983 09  9938·1
 1983 08  7334.6
 1983 07  1832.8
 1983 06  1132.0
 1983 05  4229·2
 1983 04  6126.3
 1983 03  6029.9
 1983 02  6935·4
 1983 01  8530·4
 1982 12 2430.0
 1982 11 9735·9
 1982 10 1132·1
 1982 09 9843·0
 1982 08 6236·4
 1982 07 6039·8
 1982 06 131.0
 1982 05 7540·3
 1982 04 138·3
 1982 03 638.4
 1982 02 2737·0
 1982 01 3545·3
 1981 12  9135·3
 1981 11  1646.7
 1981 10  048.1
 1981 09  2247.8
 1981 08  746·5
 1981 07  9844·2
 1981 06  5941.1
 1981 05  639·8
 1981 04  5036.0
 1981 03  8236·7
 1981 02  6832·8
 1981 01  8043.0
 1980 12 4635·1
 1980 11 2638.4
 1980 10 1343·7
 1980 09 6447·9
 1980 08 4439.9
 1980 07 1046.2
 1980 06 844.5
 1980 05 141·7
 1980 04 2044·1
 1980 03 4347.5
 1980 02 9148·5
 1980 01 6150·1
 1979 12  7544.0
 1979 11  5443.5
 1979 10  2449·1
 1979 09  3951·8
 1979 08  3454·3
 1979 07  249.1
 1979 06  9549.9
 1979 05  5248·3
 1979 04  4647·3
 1979 03  6745·6
 1979 02  1847·9
 1979 01  4651.1
 1978 12 8944.3
 1978 11 5747.1
 1978 10 3051·5
 1978 09 8955·2
 1978 08 6151.4
 1978 07 254·4
 1978 06 9549.0
 1978 05 7649.9
 1978 04 8937·9
 1978 03 6043.5
 1978 02 9942·4
 1978 01 2544·5
 1977 12  2336·8
 1977 11  1246.4
 1977 10  5649·6
 1977 09  8249·6
 1977 08  3744·7
 1977 07  6543.4
 1977 06  346.3
 1977 05  1441·7
 1977 04  3444.3
 1977 03  5036·3
 1977 02  535·6
 1977 01  1741·6
 1976 12 3732.8
 1976 11 2537·0
 1976 10 4839·7
 1976 09 847·4
 1976 08 9840·9
 1976 07 7043·2
 1976 06 4534·4
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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: Of Total Unemployed 35-44 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

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