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 Series Title: Percent of Total Reentrants 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 3420·0
 2012 03 5220·5
 2012 02 5624.8
 2012 01 5519.7
 2011 12  8321·5
 2011 11  7321·0
 2011 10  6427.0
 2011 09  2320·2
 2011 08  9818.9
 2011 07  9321.2
 2011 06  7420·3
 2011 05  9018·1
 2011 04  2920.2
 2011 03  9325.5
 2011 02  9723·5
 2011 01  019.1
 2010 12 5319·3
 2010 11 7924.4
 2010 10 7124.1
 2010 09 2123.5
 2010 08 6926.2
 2010 07 8424·1
 2010 06 6121·5
 2010 05 4920.3
 2010 04 419·1
 2010 03 6424·2
 2010 02 5228·1
 2010 01 120·4
 2009 12  627.0
 2009 11  126·7
 2009 10  6021.4
 2009 09  2424.0
 2009 08  5227.7
 2009 07  126.9
 2009 06  2023.5
 2009 05  8424·2
 2009 04  4325·6
 2009 03  9631.6
 2009 02  9732.8
 2009 01  7827.1
 2008 12 327.7
 2008 11 4232.5
 2008 10 7729·9
 2008 09 2328.4
 2008 08 8229·7
 2008 07 2233.0
 2008 06 7533·9
 2008 05 6427·2
 2008 04 5730.8
 2008 03 4233·8
 2008 02 2732.5
 2008 01 7034.0
 2007 12  2832.9
 2007 11  3330.4
 2007 10  9734·2
 2007 09  3529.5
 2007 08  1928.5
 2007 07  5232.4
 2007 06  7326.2
 2007 05  7926·3
 2007 04  8228.1
 2007 03  8128.8
 2007 02  6726·7
 2007 01  4525.8
 2006 12 9235·3
 2006 11 2733.0
 2006 10 1730·0
 2006 09 329·3
 2006 08 4932.0
 2006 07 2131.5
 2006 06 8732·4
 2006 05 4726·1
 2006 04 7833·1
 2006 03 1933·2
 2006 02 6431·0
 2006 01 9529.5
 2005 12  3135.2
 2005 11  431.4
 2005 10  6131·8
 2005 09  9325·2
 2005 08  8232.2
 2005 07  8136·1
 2005 06  1632·2
 2005 05  826·2
 2005 04  3129.1
 2005 03  8432.1
 2005 02  9230.4
 2005 01  3727·0
 2004 12 528·3
 2004 11 6728·1
 2004 10 7625·3
 2004 09 9624·2
 2004 08 5434.3
 2004 07 1435.8
 2004 06 8226·5
 2004 05 3128·1
 2004 04 5229·4
 2004 03 3031·8
 2004 02 4831·9
 2004 01 1127·9
 2003 12  031.5
 2003 11  4729.1
 2003 10  3630.9
 2003 09  3032.6
 2003 08  2526·5
 2003 07  2232·7
 2003 06  3430.6
 2003 05  724·0
 2003 04  7532.5
 2003 03  3732.3
 2003 02  5528·8
 2003 01  8630·6
 2002 12 2728·8
 2002 11 9835.7
 2002 10 3835.8
 2002 09 3627.3
 2002 08 8129.1
 2002 07 3629.0
 2002 06 4427·8
 2002 05 5226.6
 2002 04 6233.5
 2002 03 933·8
 2002 02 6334·1
 2002 01 5330.0
 2001 12  2136.4
 2001 11  9828.3
 2001 10  631.1
 2001 09  8231.8
 2001 08  3329·8
 2001 07  1033·6
 2001 06  1129·1
 2001 05  926.4
 2001 04  9831.2
 2001 03  7639.0
 2001 02  4333·1
 2001 01  2830.1
 2000 12 4235.3
 2000 11 5331·0
 2000 10 8734.4
 2000 09 5828·7
 2000 08 1533·7
 2000 07 2232·0
 2000 06 5825·9
 2000 05 4426.3
 2000 04 9335·0
 2000 03 9133.3
 2000 02 9333.4
 2000 01 5428·8
 1999 12  7629·5
 1999 11  9135·1
 1999 10  5532.9
 1999 09  8233.3
 1999 08  9035·0
 1999 07  7833.0
 1999 06  3325·5
 1999 05  4922·5
 1999 04  8430·0
 1999 03  3435.5
 1999 02  3836.0
 1999 01  9730·0
 1998 12 3429.2
 1998 11 6731·6
 1998 10 829·2
 1998 09 9629.1
 1998 08 4128·1
 1998 07 636·4
 1998 06 829·0
 1998 05 4027·8
 1998 04 3030·3
 1998 03 1032·4
 1998 02 2434·6
 1998 01 4925.8
 1997 12  5136·2
 1997 11  6034.3
 1997 10  6929·7
 1997 09  6629.1
 1997 08  8031·3
 1997 07  6135.7
 1997 06  8229·8
 1997 05  6025.3
 1997 04  1730.2
 1997 03  4734·9
 1997 02  2539·5
 1997 01  2727·9
 1996 12 8837·3
 1996 11 7432.8
 1996 10 8637·4
 1996 09 8427·6
 1996 08 4231.0
 1996 07 2333·1
 1996 06 7825·1
 1996 05 7623·3
 1996 04 5635·0
 1996 03 033·6
 1996 02 3829.5
 1996 01 7228·6
 1995 12  3032·9
 1995 11  3933·3
 1995 10  3131·8
 1995 09  6731.2
 1995 08  8830.6
 1995 07  9434.2
 1995 06  4330.9
 1995 05  7925.6
 1995 04  8228·1
 1995 03  4933·8
 1995 02  8831.5
 1995 01  5226·5
 1994 12 8730·9
 1994 11 930·0
 1994 10 329·0
 1994 09 5730·3
 1994 08 434.4
 1994 07 628.8
 1994 06 5230.0
 1994 05 8626.3
 1994 04 5728·5
 1994 03 9732.3
 1994 02 2232·5
 1994 01 5924.7
 1993 12  9730.4
 1993 11  6331.2
 1993 10  2633·2
 1993 09  2026·9
 1993 08  9931·1
 1993 07  1130·2
 1993 06  224·9
 1993 05  3824·4
 1993 04  6430·6
 1993 03  7332·8
 1993 02  1228·7
 1993 01  828.8
 1992 12 1836·1
 1992 11 633.7
 1992 10 4633·3
 1992 09 4930·6
 1992 08 1032.2
 1992 07 9029·9
 1992 06 1528.7
 1992 05 425.3
 1992 04 1631·1
 1992 03 3333·4
 1992 02 5834·9
 1992 01 4227.9
 1991 12  3633·3
 1991 11  6632·2
 1991 10  3831·1
 1991 09  5924·8
 1991 08  9633·9
 1991 07  4636.9
 1991 06  4127.6
 1991 05  7323.3
 1991 04  4729·6
 1991 03  5534·7
 1991 02  8230·9
 1991 01  2827.2
 1990 12 6332.0
 1990 11 9934.7
 1990 10 9831·7
 1990 09 9429.1
 1990 08 4429.6
 1990 07 1031.5
 1990 06 5222·0
 1990 05 6427.1
 1990 04 1831·1
 1990 03 4430·7
 1990 02 3230·2
 1990 01 5825.3
 1989 12  3330.1
 1989 11  8330·3
 1989 10  5130.4
 1989 09  1927·4
 1989 08  6529·7
 1989 07  3428.8
 1989 06  4625·9
 1989 05  1826·4
 1989 04  1426·9
 1989 03  2928·8
 1989 02  8129.3
 1989 01  4728.4
 1988 12 731·9
 1988 11 2327.9
 1988 10 4425·6
 1988 09 2717.9
 1988 08 9229.9
 1988 07 9929·2
 1988 06 4724·5
 1988 05 128·3
 1988 04 4725.9
 1988 03 6429.6
 1988 02 2830·1
 1988 01 3924·1
 1987 12  7032.2
 1987 11  4826.8
 1987 10  5032.4
 1987 09  3427·2
 1987 08  8828.9
 1987 07  928.2
 1987 06  122·8
 1987 05  624·1
 1987 04  5126.6
 1987 03  2830·3
 1987 02  9532.3
 1987 01  9927·9
 1986 12 3431·5
 1986 11 1231.1
 1986 10 6832.8
 1986 09 8225·9
 1986 08 3829.6
 1986 07 9332·9
 1986 06 8327·7
 1986 05 4927.8
 1986 04 8831·1
 1986 03 2730·7
 1986 02 3030.9
 1986 01 2025.2
 1985 12  3432·3
 1985 11  9535·2
 1985 10  2034.6
 1985 09  3825·6
 1985 08  5231.5
 1985 07  527.2
 1985 06  9126·3
 1985 05  7327.7
 1985 04  4225.8
 1985 03  8826.7
 1985 02  628·5
 1985 01  1923·4
 1984 12 3034.4
 1984 11 131·4
 1984 10 5427·1
 1984 09 9427.6
 1984 08 6526·5
 1984 07 2530.7
 1984 06 4626·7
 1984 05 4425·0
 1984 04 2426·4
 1984 03 6731·2
 1984 02 2230·1
 1984 01 3625.6
 1983 12  725.7
 1983 11  5931·3
 1983 10  4428·9
 1983 09  6621.7
 1983 08  3926·3
 1983 07  5729·1
 1983 06  9925·1
 1983 05  5322.8
 1983 04  7125.5
 1983 03  4328·6
 1983 02  131.7
 1983 01  4022·3
 1982 12 7728.5
 1982 11 2432.3
 1982 10 8730.7
 1982 09 9728·6
 1982 08 5928.9
 1982 07 3131·4
 1982 06 2028.3
 1982 05 1824·6
 1982 04 4227.6
 1982 03 2031.0
 1982 02 8935·6
 1982 01 2125·1
 1981 12  7535·9
 1981 11  7427·3
 1981 10  727·9
 1981 09  5224.8
 1981 08  3533·3
 1981 07  033.8
 1981 06  1025·3
 1981 05  8026.6
 1981 04  2231·9
 1981 03  2729.6
 1981 02  6232.5
 1981 01  9824·4
 1980 12 6234.6
 1980 11 1535.4
 1980 10 5129·3
 1980 09 2529.6
 1980 08 431·2
 1980 07 4334.5
 1980 06 9029.2
 1980 05 627·6
 1980 04 2428.5
 1980 03 1929.6
 1980 02 1630.4
 1980 01 1023.6
 1979 12  2236.5
 1979 11  7531·8
 1979 10  9329.3
 1979 09  3125.1
 1979 08  2529·5
 1979 07  6635·0
 1979 06  825.8
 1979 05  8822.9
 1979 04  8127·2
 1979 03  7529.1
 1979 02  7527.1
 1979 01  2622·8
 1978 12 6733·4
 1978 11 933.3
 1978 10 3132·0
 1978 09 1321·8
 1978 08 8332·9
 1978 07 9829·4
 1978 06 3927·3
 1978 05 4324.6
 1978 04 5525·5
 1978 03 9929·1
 1978 02 8630.6
 1978 01 3624.0
 1977 12  3232·6
 1977 11  9529.5
 1977 10  8727.6
 1977 09  3723.3
 1977 08  9134·3
 1977 07  9230·9
 1977 06  7928.9
 1977 05  1325·6
 1977 04  3123·8
 1977 03  2129.6
 1977 02  2434·5
 1977 01  5924·0
 1976 12 7835·4
 1976 11 3934·7
 1976 10 1032·8
 1976 09 9524·3
 1976 08 8226.0
 1976 07 2830·5
 1976 06 5126.3
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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 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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