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 Series Title: Of Total Unemployed 45-54 years, Women, Percent 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 2373·0
 2012 03 9663·5
 2012 02 9864·3
 2012 01 3959.9
 2011 12  5264.4
 2011 11  7266.3
 2011 10  3668.1
 2011 09  1168·9
 2011 08  4662·2
 2011 07  4659.2
 2011 06  7562.8
 2011 05  8371·7
 2011 04  5869.2
 2011 03  069·7
 2011 02  2768·1
 2011 01  9765.9
 2010 12 6167·3
 2010 11 4269.3
 2010 10 3268·9
 2010 09 2362·4
 2010 08 5758.5
 2010 07 160.9
 2010 06 5164·5
 2010 05 5667.7
 2010 04 7173.1
 2010 03 3671·8
 2010 02 7264.4
 2010 01 1364.2
 2009 12  5466.4
 2009 11  2765.2
 2009 10  967.7
 2009 09  4064·5
 2009 08  7955·3
 2009 07  8250.8
 2009 06  9957·1
 2009 05  556.9
 2009 04  4957·9
 2009 03  3249·8
 2009 02  642·5
 2009 01  341·9
 2008 12 8949·2
 2008 11 3339.7
 2008 10 1651.1
 2008 09 5352·6
 2008 08 4845·9
 2008 07 6743·1
 2008 06 4345·0
 2008 05 9949·2
 2008 04 348·2
 2008 03 4236·6
 2008 02 2539.6
 2008 01 1044.6
 2007 12  5344·3
 2007 11  8846·0
 2007 10  2542.7
 2007 09  8040.9
 2007 08  2434·5
 2007 07  6233.4
 2007 06  3034.6
 2007 05  2846.8
 2007 04  6741.9
 2007 03  4541·3
 2007 02  5439·2
 2007 01  9945·7
 2006 12 5641·9
 2006 11 4641.5
 2006 10 3436.6
 2006 09 6239.6
 2006 08 9340·3
 2006 07 9435.1
 2006 06 3433.5
 2006 05 1036.0
 2006 04 235·1
 2006 03 4741.2
 2006 02 4042.9
 2006 01 6338·1
 2005 12  3438.8
 2005 11  8640·0
 2005 10  6738·3
 2005 09  6541.5
 2005 08  6542·6
 2005 07  1932·1
 2005 06  5139.6
 2005 05  8648.5
 2005 04  9444·3
 2005 03  7647·8
 2005 02  5745.3
 2005 01  1946.6
 2004 12 4844·0
 2004 11 1448.1
 2004 10 7148.1
 2004 09 8342·6
 2004 08 7639·9
 2004 07 1538.9
 2004 06 744·2
 2004 05 2351.5
 2004 04 5450.7
 2004 03 8652·0
 2004 02 249·4
 2004 01 745.9
 2003 12  8247·0
 2003 11  5849.0
 2003 10  2050·5
 2003 09  3145·5
 2003 08  8640·2
 2003 07  8841.1
 2003 06  4847·3
 2003 05  1251.4
 2003 04  1654.1
 2003 03  5745·7
 2003 02  9944.6
 2003 01  9638.9
 2002 12 4849.0
 2002 11 7345·2
 2002 10 1147.0
 2002 09 5148·5
 2002 08 8139.8
 2002 07 6640.2
 2002 06 4738.6
 2002 05 7245.0
 2002 04 4240.7
 2002 03 9344·4
 2002 02 9541.8
 2002 01 7739·1
 2001 12  8132·6
 2001 11  3733.4
 2001 10  6833·3
 2001 09  1129·4
 2001 08  7229.4
 2001 07  424.2
 2001 06  328·4
 2001 05  4232·5
 2001 04  1733.1
 2001 03  2435.0
 2001 02  6440·7
 2001 01  6638·8
 2000 12 4139.0
 2000 11 5627.7
 2000 10 3828·6
 2000 09 127.8
 2000 08 9428.2
 2000 07 8026·7
 2000 06 3926.8
 2000 05 9128·5
 2000 04 5141.0
 2000 03 433·5
 2000 02 424.0
 2000 01 628.3
 1999 12  1431·0
 1999 11  5826·4
 1999 10  9624.9
 1999 09  3927·1
 1999 08  727·5
 1999 07  029·2
 1999 06  231.5
 1999 05  1040·9
 1999 04  8142.0
 1999 03  1134.5
 1999 02  3732·4
 1999 01  6333·2
 1998 12 1129·4
 1998 11 9831.6
 1998 10 3833·3
 1998 09 6728·3
 1998 08 9822·2
 1998 07 9224·6
 1998 06 6722·2
 1998 05 1632.6
 1998 04 6628·5
 1998 03 5138.3
 1998 02 1232·9
 1998 01 2937.3
 1997 12  6734.0
 1997 11  5531.3
 1997 10  8731.4
 1997 09  5132.5
 1997 08  7632·4
 1997 07  1132·9
 1997 06  3039·0
 1997 05  5044.1
 1997 04  9240.5
 1997 03  5227·6
 1997 02  230·0
 1997 01  2127·9
 1996 12 4334.8
 1996 11 3334·2
 1996 10 9332·5
 1996 09 8325·9
 1996 08 7730·7
 1996 07 3733·3
 1996 06 1538·2
 1996 05 8042·7
 1996 04 7147·4
 1996 03 6952·6
 1996 02 539·4
 1996 01 8137·1
 1995 12  2438.8
 1995 11  6234·9
 1995 10  2734·3
 1995 09  8037·1
 1995 08  6235·2
 1995 07  7233·7
 1995 06  6934.9
 1995 05  9750.1
 1995 04  3645.9
 1995 03  8246·9
 1995 02  4450·3
 1995 01  7542·9
 1994 12 2147.9
 1994 11 9641.8
 1994 10 8947.4
 1994 09 8438·5
 1994 08 1735.3
 1994 07 4841.8
 1994 06 6738.5
 1994 05 1846.2
 1994 04 4947.4
 1994 03 9343·3
 1994 02 6746.5
 1994 01 9540.4
 1993 12  6944·7
 1993 11  1446·8
 1993 10  047.7
 1993 09  6147·2
 1993 08  5138·7
 1993 07  1745·7
 1993 06  643.5
 1993 05  8446.7
 1993 04  9640·9
 1993 03  3440.4
 1993 02  4639.4
 1993 01  5943.6
 1992 12 2943.5
 1992 11 2140.4
 1992 10 1039·3
 1992 09 440·1
 1992 08 143.6
 1992 07 6041.7
 1992 06 949·7
 1992 05 6445.0
 1992 04 8646·8
 1992 03 5841.6
 1992 02 8134.9
 1992 01 739.9
 1991 12  8638.7
 1991 11  4634.4
 1991 10  9033·7
 1991 09  2930·2
 1991 08  2635·1
 1991 07  8131.5
 1991 06  2434·1
 1991 05  4738.8
 1991 04  5644·2
 1991 03  4435.6
 1991 02  9430.2
 1991 01  728.6
 1990 12 5225.8
 1990 11 4328.4
 1990 10 4021.0
 1990 09 7725.6
 1990 08 1427·1
 1990 07 831·3
 1990 06 2424.0
 1990 05 5226.8
 1990 04 6631.5
 1990 03 9726·1
 1990 02 3324·3
 1990 01 5125.1
 1989 12  6126.6
 1989 11  9123.4
 1989 10  8220.7
 1989 09  1723·7
 1989 08  7322.0
 1989 07  9724.2
 1989 06  717.2
 1989 05  2034·5
 1989 04  231.0
 1989 03  4622.5
 1989 02  7217·9
 1989 01  5415·8
 1988 12 7418·5
 1988 11 9518.7
 1988 10 6426·2
 1988 09 3919·5
 1988 08 4025·5
 1988 07 2622.3
 1988 06 9627.0
 1988 05 1730·1
 1988 04 7427.4
 1988 03 4532.2
 1988 02 732·9
 1988 01 6028.9
 1987 12  7731.9
 1987 11  8421·2
 1987 10  5927·5
 1987 09  6033·1
 1987 08  7530·0
 1987 07  031.0
 1987 06  4035·0
 1987 05  3731·9
 1987 04  1730.1
 1987 03  7428.3
 1987 02  6334.7
 1987 01  3426·9
 1986 12 8028.7
 1986 11 1227.2
 1986 10 6623·8
 1986 09 2228.5
 1986 08 6330·7
 1986 07 4826·6
 1986 06 1130.6
 1986 05 9442.3
 1986 04 9337·4
 1986 03 3630·6
 1986 02 8725.1
 1986 01 6928.6
 1985 12  1923·3
 1985 11  5928·3
 1985 10  728·4
 1985 09  9230·3
 1985 08  1631·5
 1985 07  2429.7
 1985 06  733.8
 1985 05  3228·7
 1985 04  8637·4
 1985 03  6232.2
 1985 02  5336·7
 1985 01  8233.4
 1984 12 5333·1
 1984 11 2930·1
 1984 10 3037.3
 1984 09 6233·1
 1984 08 6933·1
 1984 07 825.6
 1984 06 5237·5
 1984 05 1634.8
 1984 04 836.6
 1984 03 531.9
 1984 02 5839.6
 1984 01 1436·0
 1983 12  7037.5
 1983 11  5137.1
 1983 10  939.4
 1983 09  4834·5
 1983 08  8239.8
 1983 07  445.0
 1983 06  9443.7
 1983 05  3944·6
 1983 04  9340·2
 1983 03  4542·5
 1983 02  2545·2
 1983 01  3143·0
 1982 12 7940·2
 1982 11 8040·6
 1982 10 4134.7
 1982 09 9335.8
 1982 08 4135·7
 1982 07 4230·8
 1982 06 438.7
 1982 05 1836.1
 1982 04 338·5
 1982 03 8632·1
 1982 02 326.5
 1982 01 2724.7
 1981 12  1629.5
 1981 11  9528·6
 1981 10  5022.6
 1981 09  6330·6
 1981 08  5631.6
 1981 07  7426·5
 1981 06  8331·5
 1981 05  9534·4
 1981 04  2333·2
 1981 03  5726.9
 1981 02  6527·5
 1981 01  1731.6
 1980 12 4239.0
 1980 11 9933·9
 1980 10 8327.1
 1980 09 4930·9
 1980 08 6324·9
 1980 07 8224.3
 1980 06 5225·6
 1980 05 3532.8
 1980 04 6326·6
 1980 03 1324·5
 1980 02 822.3
 1980 01 4424.2
 1979 12  4118.3
 1979 11  2318·4
 1979 10  1419.2
 1979 09  6915.9
 1979 08  2317·9
 1979 07  6915.0
 1979 06  5926.8
 1979 05  3132·2
 1979 04  6028.0
 1979 03  3331.8
 1979 02  5625.7
 1979 01  7326.7
 1978 12 2523.3
 1978 11 2122·1
 1978 10 4120·9
 1978 09 6525.9
 1978 08 2120.3
 1978 07 6525·9
 1978 06 7924·7
 1978 05 028·8
 1978 04 7231·2
 1978 03 2133.3
 1978 02 5631·2
 1978 01 9830·8
 1977 12  3035·9
 1977 11  7231.5
 1977 10  8736·1
 1977 09  330·3
 1977 08  6830.0
 1977 07  2333.0
 1977 06  834·4
 1977 05  8434·2
 1977 04  8839·2
 1977 03  735.7
 1977 02  8334·9
 1977 01  3529·5
 1976 12 1431·6
 1976 11 8032.2
 1976 10 9936.6
 1976 09 7530.1
 1976 08 9833·3
 1976 07 2338·1
 1976 06 7041·9
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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: Of Total Unemployed 45-54 years, Women, Percent 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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