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 Series Title: Percent of Total Reentrants 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 2364.3
 2012 03 3865.0
 2012 02 5361.2
 2012 01 7461·2
 2011 12  3763·6
 2011 11  7563.8
 2011 10  2658.0
 2011 09  5859·4
 2011 08  1765·9
 2011 07  1065.0
 2011 06  159.1
 2011 05  4061·1
 2011 04  1563·7
 2011 03  2658·9
 2011 02  9063.1
 2011 01  6658.9
 2010 12 466.1
 2010 11 2863.6
 2010 10 3060·4
 2010 09 357·9
 2010 08 8655·6
 2010 07 4956·8
 2010 06 8558·5
 2010 05 4661.5
 2010 04 8667.5
 2010 03 4461·6
 2010 02 4355.9
 2010 01 1457·7
 2009 12  5457.4
 2009 11  9758.1
 2009 10  1655·6
 2009 09  5259.3
 2009 08  6651·0
 2009 07  1252.2
 2009 06  4250·8
 2009 05  2952.0
 2009 04  2255·4
 2009 03  2347·7
 2009 02  8445.5
 2009 01  3742.6
 2008 12 4849·5
 2008 11 8542·0
 2008 10 3045·7
 2008 09 9847.4
 2008 08 9343·6
 2008 07 8040·2
 2008 06 9336.5
 2008 05 5537.5
 2008 04 3345·2
 2008 03 1638·3
 2008 02 1136·9
 2008 01 7735.7
 2007 12  6938.5
 2007 11  2240.5
 2007 10  4736.1
 2007 09  5835·6
 2007 08  2735·6
 2007 07  5735·5
 2007 06  8836.3
 2007 05  1740·2
 2007 04  5543·1
 2007 03  240.1
 2007 02  4841.7
 2007 01  9942·6
 2006 12 3139.3
 2006 11 6335.1
 2006 10 6435·6
 2006 09 7237·9
 2006 08 5339·5
 2006 07 7335.1
 2006 06 9932.1
 2006 05 3137·5
 2006 04 4835.1
 2006 03 8638.6
 2006 02 4240·2
 2006 01 9636·4
 2005 12  6636·8
 2005 11  8735.6
 2005 10  436·3
 2005 09  938.6
 2005 08  8337.2
 2005 07  8034.9
 2005 06  2530·2
 2005 05  4036·6
 2005 04  9846.0
 2005 03  9838·6
 2005 02  6641·9
 2005 01  8442.9
 2004 12 3845.0
 2004 11 9743.4
 2004 10 1645.2
 2004 09 5941·8
 2004 08 5240·7
 2004 07 6036.9
 2004 06 8836.2
 2004 05 1038·2
 2004 04 1643·9
 2004 03 9142.9
 2004 02 1943·2
 2004 01 538.6
 2003 12  3048.6
 2003 11  2444·1
 2003 10  7334.9
 2003 09  4036·6
 2003 08  2041·0
 2003 07  1539·4
 2003 06  3737·2
 2003 05  3236.4
 2003 04  3640·7
 2003 03  4538·7
 2003 02  2441·1
 2003 01  2737·0
 2002 12 5342.2
 2002 11 2235·0
 2002 10 7234.8
 2002 09 9334·5
 2002 08 7336.4
 2002 07 7636·3
 2002 06 4435·0
 2002 05 2438.6
 2002 04 1938.1
 2002 03 6434·6
 2002 02 2836·5
 2002 01 4131·3
 2001 12  4431·4
 2001 11  6933.4
 2001 10  3732·0
 2001 09  8531.5
 2001 08  2131.9
 2001 07  9629.1
 2001 06  825·9
 2001 05  2829·6
 2001 04  5230.5
 2001 03  7829·2
 2001 02  531·4
 2001 01  6329.1
 2000 12 6230.4
 2000 11 7029·4
 2000 10 1525.5
 2000 09 926·2
 2000 08 126·5
 2000 07 5626.8
 2000 06 5225.8
 2000 05 1028.5
 2000 04 4429.0
 2000 03 4026·0
 2000 02 5223·1
 2000 01 3527.5
 1999 12  9330.7
 1999 11  5529.3
 1999 10  8027.5
 1999 09  8025.0
 1999 08  7221.4
 1999 07  5826.6
 1999 06  2327·7
 1999 05  6133·9
 1999 04  3229·9
 1999 03  3030·4
 1999 02  9328·2
 1999 01  2530.1
 1998 12 4836.0
 1998 11 7831·0
 1998 10 3032.2
 1998 09 4031.3
 1998 08 2027.3
 1998 07 3329·7
 1998 06 9526·3
 1998 05 031·8
 1998 04 7531.4
 1998 03 5330·9
 1998 02 7632·9
 1998 01 2433.9
 1997 12  6231·1
 1997 11  1830·7
 1997 10  8736.1
 1997 09  5733·8
 1997 08  5629·2
 1997 07  3535.2
 1997 06  6636.3
 1997 05  6738.6
 1997 04  5939·1
 1997 03  3733·1
 1997 02  7434.8
 1997 01  4934·1
 1996 12 9535.7
 1996 11 7931·4
 1996 10 131·4
 1996 09 2231.7
 1996 08 1533.9
 1996 07 4333.8
 1996 06 5835.6
 1996 05 3038.1
 1996 04 9538·8
 1996 03 3738·2
 1996 02 8536·8
 1996 01 4236·0
 1995 12  3438.7
 1995 11  9136.8
 1995 10  4332.4
 1995 09  5230·2
 1995 08  5833·0
 1995 07  6231.8
 1995 06  2130·7
 1995 05  7936·7
 1995 04  1835.3
 1995 03  3236·2
 1995 02  3236·6
 1995 01  6935·6
 1994 12 8941.2
 1994 11 837.1
 1994 10 1239.7
 1994 09 8835·0
 1994 08 7132.7
 1994 07 2033·9
 1994 06 2731·9
 1994 05 3336.1
 1994 04 8942.0
 1994 03 2736.7
 1994 02 6237.7
 1994 01 2235·0
 1993 12  9527·0
 1993 11  925.8
 1993 10  3223·0
 1993 09  9923.9
 1993 08  6322·9
 1993 07  7324·4
 1993 06  7320·3
 1993 05  3325.0
 1993 04  9422.2
 1993 03  5026.2
 1993 02  5024.1
 1993 01  1825·9
 1992 12 1325·9
 1992 11 9820.5
 1992 10 4922.2
 1992 09 7422·0
 1992 08 7021·9
 1992 07 9819·9
 1992 06 8420·8
 1992 05 4524.0
 1992 04 4224.4
 1992 03 5720.7
 1992 02 9224·2
 1992 01 9923·3
 1991 12  2823·4
 1991 11  619.8
 1991 10  3718·7
 1991 09  3215·7
 1991 08  5418.4
 1991 07  214.0
 1991 06  617·5
 1991 05  6116.1
 1991 04  7022.3
 1991 03  2619.2
 1991 02  1317.9
 1991 01  3219.4
 1990 12 5119·0
 1990 11 8518·7
 1990 10 9515·6
 1990 09 1313·7
 1990 08 9915·1
 1990 07 1213·5
 1990 06 1413·8
 1990 05 9919.5
 1990 04 3818·5
 1990 03 6114·5
 1990 02 6016·6
 1990 01 815.2
 1989 12  1817·2
 1989 11  1614.9
 1989 10  4411·1
 1989 09  8511·1
 1989 08  1611.8
 1989 07  8312.7
 1989 06  514.7
 1989 05  9915·2
 1989 04  3121·9
 1989 03  9320·5
 1989 02  615.1
 1989 01  4415·2
 1988 12 8917·4
 1988 11 314.1
 1988 10 3416·1
 1988 09 4016.8
 1988 08 4016.4
 1988 07 9515.4
 1988 06 312·3
 1988 05 3015.9
 1988 04 6122.8
 1988 03 7522·2
 1988 02 4919.5
 1988 01 8322.4
 1987 12  5021.3
 1987 11  7519.4
 1987 10  3715·5
 1987 09  9415·2
 1987 08  3318·1
 1987 07  5216·4
 1987 06  5419·5
 1987 05  8120.6
 1987 04  6223.8
 1987 03  8617.9
 1987 02  1321·3
 1987 01  9020.5
 1986 12 1023·4
 1986 11 8619.2
 1986 10 5217·8
 1986 09 8918.9
 1986 08 8018.2
 1986 07 8218·8
 1986 06 3317.1
 1986 05 7221.1
 1986 04 9520.6
 1986 03 3220.7
 1986 02 4520.4
 1986 01 5819·5
 1985 12  722·7
 1985 11  1616.7
 1985 10  014·0
 1985 09  9217·8
 1985 08  9015.7
 1985 07  4220.5
 1985 06  3719·1
 1985 05  4221.6
 1985 04  4625.2
 1985 03  4022.2
 1985 02  1823·1
 1985 01  320·8
 1984 12 022.0
 1984 11 6916.9
 1984 10 3221·5
 1984 09 9418·9
 1984 08 118.3
 1984 07 918.5
 1984 06 9021·7
 1984 05 6025.2
 1984 04 2624·4
 1984 03 6623·3
 1984 02 3124·5
 1984 01 6825.4
 1983 12  7424·9
 1983 11  7419.7
 1983 10  1821.9
 1983 09  1418.3
 1983 08  7220·2
 1983 07  8723.2
 1983 06  3924·2
 1983 05  1626·0
 1983 04  6932·1
 1983 03  8927·2
 1983 02  624.1
 1983 01  1829·5
 1982 12 4126·3
 1982 11 8521.6
 1982 10 5824.2
 1982 09 9118·5
 1982 08 8917.1
 1982 07 817.6
 1982 06 5819·6
 1982 05 2723.0
 1982 04 3724.1
 1982 03 1322.6
 1982 02 9221.0
 1982 01 4717·8
 1981 12  3620.0
 1981 11  8318·3
 1981 10  7517·5
 1981 09  9314.9
 1981 08  6212.1
 1981 07  2313·5
 1981 06  4416·6
 1981 05  3617.6
 1981 04  1417·1
 1981 03  6717·6
 1981 02  6220.0
 1981 01  7018·4
 1980 12 1921.2
 1980 11 7014.2
 1980 10 1612.3
 1980 09 1312.2
 1980 08 2712·1
 1980 07 1413.0
 1980 06 2110.6
 1980 05 1015·0
 1980 04 1217·1
 1980 03 614·1
 1980 02 1316.7
 1980 01 2916.6
 1979 12  7717.1
 1979 11  7714·1
 1979 10  5515.5
 1979 09  6611·9
 1979 08  449·9
 1979 07  8410·9
 1979 06  3613·4
 1979 05  3919.6
 1979 04  6720·1
 1979 03  919·3
 1979 02  6817.5
 1979 01  9219.3
 1978 12 1815·6
 1978 11 5713·2
 1978 10 9014.7
 1978 09 9413.6
 1978 08 013.2
 1978 07 6213·7
 1978 06 6314·3
 1978 05 4115.3
 1978 04 3723·2
 1978 03 7917·3
 1978 02 7719.2
 1978 01 4919.4
 1977 12  8021·1
 1977 11  9118·3
 1977 10  4313·0
 1977 09  6516·1
 1977 08  513·9
 1977 07  318·9
 1977 06  015·5
 1977 05  5721.7
 1977 04  1021.3
 1977 03  4818·6
 1977 02  1117·4
 1977 01  1917·3
 1976 12 2322.5
 1976 11 8217.3
 1976 10 6316·2
 1976 09 7014.2
 1976 08 9317·9
 1976 07 8617·7
 1976 06 7019·1
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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 Reentrants 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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