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 Series Title: Percent of Total New Entrants 20 years and over, Women Unemployed 15 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 2067.1
 2012 03 6063.1
 2012 02 5266·8
 2012 01 5470·4
 2011 12  5069·5
 2011 11  2657.1
 2011 10  6772.9
 2011 09  9256.8
 2011 08  9760·2
 2011 07  4052·9
 2011 06  3362·3
 2011 05  7865.3
 2011 04  1157.5
 2011 03  8468.7
 2011 02  6362·1
 2011 01  5770·8
 2010 12 6767·4
 2010 11 6559.7
 2010 10 9558.3
 2010 09 9865.9
 2010 08 6650.8
 2010 07 1545·0
 2010 06 9244·8
 2010 05 9557·2
 2010 04 3264.7
 2010 03 8957.9
 2010 02 4060·0
 2010 01 6864·2
 2009 12  1672.5
 2009 11  7161·9
 2009 10  5562.3
 2009 09  5955.9
 2009 08  9548.2
 2009 07  6543·1
 2009 06  7252·2
 2009 05  4056.9
 2009 04  6739·1
 2009 03  551·5
 2009 02  5644·8
 2009 01  262.6
 2008 12 5959·4
 2008 11 4652.6
 2008 10 9356·5
 2008 09 6745·7
 2008 08 2039.0
 2008 07 7039·2
 2008 06 9834·2
 2008 05 7843·5
 2008 04 2739.6
 2008 03 8430·6
 2008 02 738·2
 2008 01 333·6
 2007 12  8033.8
 2007 11  2043·3
 2007 10  8437.8
 2007 09  3830·0
 2007 08  332.4
 2007 07  3441.5
 2007 06  1721.3
 2007 05  128.2
 2007 04  4823.5
 2007 03  751.2
 2007 02  1850.4
 2007 01  3729.5
 2006 12 9036.0
 2006 11 4742·9
 2006 10 2533.7
 2006 09 1533.7
 2006 08 2934·0
 2006 07 8636.4
 2006 06 235·2
 2006 05 2848.0
 2006 04 9139·3
 2006 03 7845.7
 2006 02 3638.1
 2006 01 9624.5
 2005 12  2538·3
 2005 11  834·3
 2005 10  4040.4
 2005 09  6342.3
 2005 08  838·5
 2005 07  8027·4
 2005 06  5230.5
 2005 05  9852·3
 2005 04  4065.7
 2005 03  2748·8
 2005 02  3540.2
 2005 01  9641.3
 2004 12 4636·6
 2004 11 543·9
 2004 10 7651.6
 2004 09 7550·9
 2004 08 7632·6
 2004 07 9630·5
 2004 06 9042·6
 2004 05 7940·6
 2004 04 737.9
 2004 03 749·7
 2004 02 1240·6
 2004 01 7949.2
 2003 12  3757·2
 2003 11  6839.8
 2003 10  757·5
 2003 09  6743·8
 2003 08  9341·9
 2003 07  3834·6
 2003 06  6234·7
 2003 05  6434·7
 2003 04  2647·9
 2003 03  9745·4
 2003 02  9160.7
 2003 01  1271.6
 2002 12 1052.7
 2002 11 5339·3
 2002 10 3037.2
 2002 09 8238.0
 2002 08 4640·6
 2002 07 3643.2
 2002 06 4436·1
 2002 05 6832.3
 2002 04 5954.6
 2002 03 340·0
 2002 02 1954.6
 2002 01 8843·0
 2001 12  039·7
 2001 11  3735·3
 2001 10  6935·3
 2001 09  8626·1
 2001 08  4314.8
 2001 07  4314·5
 2001 06  3232·1
 2001 05  3326.9
 2001 04  9132·8
 2001 03  5339·2
 2001 02  7030·5
 2001 01  2135·5
 2000 12 6737·2
 2000 11 2522·8
 2000 10 7249·4
 2000 09 7137·2
 2000 08 2224.8
 2000 07 3937·8
 2000 06 5016.8
 2000 05 2619.7
 2000 04 3222.4
 2000 03 222.6
 2000 02 4225.8
 2000 01 5620.0
 1999 12  9739·9
 1999 11  4627·8
 1999 10  1137.9
 1999 09  5434.6
 1999 08  4335·2
 1999 07  2834·2
 1999 06  4529.5
 1999 05  4035·1
 1999 04  1944·5
 1999 03  2946·9
 1999 02  5742·5
 1999 01  5733.0
 1998 12 141·5
 1998 11 5646·4
 1998 10 8539·0
 1998 09 7636.4
 1998 08 9039.9
 1998 07 4031.1
 1998 06 9228.6
 1998 05 9021·9
 1998 04 1145.7
 1998 03 3844·1
 1998 02 6543·3
 1998 01 1840·7
 1997 12  1433·2
 1997 11  3240.5
 1997 10  1732·7
 1997 09  545·1
 1997 08  7539·2
 1997 07  2936.8
 1997 06  8736·1
 1997 05  1938·0
 1997 04  9461.3
 1997 03  5951·7
 1997 02  3746·4
 1997 01  5550.6
 1996 12 9737.4
 1996 11 8032·8
 1996 10 5538·4
 1996 09 3148·9
 1996 08 3436.8
 1996 07 7431·7
 1996 06 5426·7
 1996 05 9334.4
 1996 04 8053.6
 1996 03 4652.4
 1996 02 7252·4
 1996 01 940·9
 1995 12  3540·2
 1995 11  2936.0
 1995 10  7136.0
 1995 09  7346.6
 1995 08  2625·7
 1995 07  7926.8
 1995 06  4133.1
 1995 05  444·5
 1995 04  230·6
 1995 03  7840·4
 1995 02  9245·6
 1995 01  4842·3
 1994 12 3953.1
 1994 11 3251·0
 1994 10 6557.6
 1994 09 7145.4
 1994 08 3745.3
 1994 07 7437.5
 1994 06 2046·6
 1994 05 7041·6
 1994 04 2244·8
 1994 03 5953.3
 1994 02 4747·0
 1994 01 6240.6
 1993 12  4431.5
 1993 11  7032.0
 1993 10  5823·4
 1993 09  9321·3
 1993 08  7919·6
 1993 07  1313.3
 1993 06  9123.6
 1993 05  3123·3
 1993 04  2617·2
 1993 03  2023·5
 1993 02  929·4
 1993 01  7031.0
 1992 12 1134·7
 1992 11 4637·4
 1992 10 037·2
 1992 09 3022.8
 1992 08 8524·3
 1992 07 7533.5
 1992 06 7621.5
 1992 05 5519·2
 1992 04 2326·1
 1992 03 1322·3
 1992 02 7627·4
 1992 01 1319.4
 1991 12  2629.8
 1991 11  9125.6
 1991 10  6218.0
 1991 09  015.7
 1991 08  1817.9
 1991 07  6514.0
 1991 06  2317·0
 1991 05  3313.3
 1991 04  5020.7
 1991 03  1913·9
 1991 02  7110·5
 1991 01  5815.1
 1990 12 9827.5
 1990 11 5715.9
 1990 10 4422·9
 1990 09 438·8
 1990 08 6212·0
 1990 07 1217.8
 1990 06 510·3
 1990 05 829.0
 1990 04 6814·7
 1990 03 4124.8
 1990 02 4212·0
 1990 01 9619.0
 1989 12  6513·1
 1989 11  2517·7
 1989 10  6816·5
 1989 09  2712·4
 1989 08  2912.9
 1989 07  7023.6
 1989 06  2013·1
 1989 05  4518·8
 1989 04  6026.3
 1989 03  910.5
 1989 02  6210.0
 1989 01  4420.5
 1988 12 8523.8
 1988 11 9820·7
 1988 10 8224.3
 1988 09 4316·5
 1988 08 5219·7
 1988 07 1914.7
 1988 06 9214.5
 1988 05 8721.8
 1988 04 3932.0
 1988 03 7821.7
 1988 02 3017·2
 1988 01 4418.3
 1987 12  4425·8
 1987 11  718.5
 1987 10  5917.0
 1987 09  919.8
 1987 08  9415.6
 1987 07  6219·2
 1987 06  6716.9
 1987 05  020·5
 1987 04  3923·8
 1987 03  2632·6
 1987 02  6828·7
 1987 01  6323·0
 1986 12 5430.0
 1986 11 523·4
 1986 10 9822.9
 1986 09 6615.6
 1986 08 4022·3
 1986 07 3014·6
 1986 06 2020·2
 1986 05 217.6
 1986 04 2225.5
 1986 03 5823.7
 1986 02 2424·1
 1986 01 9321·8
 1985 12  5036·1
 1985 11  7112.9
 1985 10  2119.2
 1985 09  8013·9
 1985 08  018·4
 1985 07  7621.6
 1985 06  4916·9
 1985 05  3419.2
 1985 04  7227·1
 1985 03  327·7
 1985 02  7124.9
 1985 01  5020·5
 1984 12 9227·8
 1984 11 1135·1
 1984 10 7623·0
 1984 09 4519·7
 1984 08 1023·2
 1984 07 7922.2
 1984 06 7624.8
 1984 05 6430·9
 1984 04 128·6
 1984 03 1631·5
 1984 02 828·1
 1984 01 7636·7
 1983 12  6632.7
 1983 11  5224.6
 1983 10  3734·5
 1983 09  7527·5
 1983 08  3023.6
 1983 07  4520·7
 1983 06  4921·2
 1983 05  8129.7
 1983 04  4423.3
 1983 03  7529·0
 1983 02  5823.0
 1983 01  3838.2
 1982 12 8236·7
 1982 11 5131·2
 1982 10 131.4
 1982 09 1525·3
 1982 08 4624.4
 1982 07 231.8
 1982 06 4227·3
 1982 05 520·7
 1982 04 6021·8
 1982 03 8625.7
 1982 02 6820.5
 1982 01 2819.5
 1981 12  7635·9
 1981 11  8527.1
 1981 10  9230·9
 1981 09  2927.9
 1981 08  6824.5
 1981 07  422.3
 1981 06  5212.7
 1981 05  7622.6
 1981 04  3722·5
 1981 03  7725·3
 1981 02  1223.3
 1981 01  6316.5
 1980 12 918.6
 1980 11 5920.2
 1980 10 5820·2
 1980 09 108.0
 1980 08 3312·5
 1980 07 3214.8
 1980 06 38.6
 1980 05 6020·0
 1980 04 8529.5
 1980 03 218·8
 1980 02 8725·6
 1980 01 8418·7
 1979 12  6526·0
 1979 11  224·7
 1979 10  7119·4
 1979 09  757·8
 1979 08  9914·4
 1979 07  8815.9
 1979 06  4316·3
 1979 05  5118·7
 1979 04  3822·7
 1979 03  4225·4
 1979 02  1718.1
 1979 01  5826.3
 1978 12 5618·2
 1978 11 7017.6
 1978 10 2922.9
 1978 09 6515·6
 1978 08 548·7
 1978 07 314.1
 1978 06 4410·9
 1978 05 6524.8
 1978 04 5826·6
 1978 03 021·3
 1978 02 4916.7
 1978 01 7822.5
 1977 12  1723·7
 1977 11  4028.8
 1977 10  5732·6
 1977 09  4726.0
 1977 08  827·4
 1977 07  3123.8
 1977 06  515.6
 1977 05  4323.8
 1977 04  3023.2
 1977 03  521·2
 1977 02  5818.6
 1977 01  5921.1
 1976 12 915·7
 1976 11 1813.4
 1976 10 115·3
 1976 09 1415.6
 1976 08 9614.8
 1976 07 519.8
 1976 06 4917·9
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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 New Entrants 20 years and over, Women Unemployed 15 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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