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 Series Title: Of Total Unemployed 65 years and over, 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 1373·0
 2012 03 8564.8
 2012 02 2665·2
 2012 01 164.4
 2011 12  063.2
 2011 11  1560·4
 2011 10  3848·3
 2011 09  9362·5
 2011 08  8554·9
 2011 07  7463.8
 2011 06  8261.9
 2011 05  1666·0
 2011 04  1767.4
 2011 03  4569·5
 2011 02  7261.8
 2011 01  1265.9
 2010 12 7370·2
 2010 11 3462·7
 2010 10 4566.7
 2010 09 5263·3
 2010 08 5358.7
 2010 07 7353.0
 2010 06 6352·0
 2010 05 2960.3
 2010 04 8259·6
 2010 03 1863·0
 2010 02 1549·8
 2010 01 6263.0
 2009 12  1162.8
 2009 11  5167·8
 2009 10  1466·2
 2009 09  9658·9
 2009 08  1456·2
 2009 07  7849·4
 2009 06  9750.5
 2009 05  057.8
 2009 04  9350.3
 2009 03  3237.6
 2009 02  2738.2
 2009 01  6739.1
 2008 12 7246·7
 2008 11 6838·8
 2008 10 9350.4
 2008 09 1838.1
 2008 08 228.2
 2008 07 6934·1
 2008 06 725·8
 2008 05 9624·5
 2008 04 5922·2
 2008 03 4135.6
 2008 02 735·8
 2008 01 7032.3
 2007 12  4329·2
 2007 11  1625·2
 2007 10  5623.4
 2007 09  3523·7
 2007 08  8032·9
 2007 07  5120·0
 2007 06  4227.6
 2007 05  916.9
 2007 04  1824·7
 2007 03  2633·2
 2007 02  7828.8
 2007 01  3714·0
 2006 12 3541.5
 2006 11 4945·4
 2006 10 146·8
 2006 09 8827·7
 2006 08 3123.3
 2006 07 5135·3
 2006 06 7523.7
 2006 05 5645.1
 2006 04 3031.0
 2006 03 8930·6
 2006 02 8734.7
 2006 01 6024.0
 2005 12  8335·9
 2005 11  4553.3
 2005 10  5047.8
 2005 09  4427·1
 2005 08  6631.8
 2005 07  2520.8
 2005 06  324·7
 2005 05  7830·3
 2005 04  7950·3
 2005 03  6251.8
 2005 02  844·6
 2005 01  5532·4
 2004 12 4847·6
 2004 11 1035.7
 2004 10 5329·7
 2004 09 9631·9
 2004 08 2231.8
 2004 07 5341·6
 2004 06 5039.7
 2004 05 4334·0
 2004 04 7750·2
 2004 03 9664·3
 2004 02 3850.5
 2004 01 6654·9
 2003 12  1461·2
 2003 11  7227.6
 2003 10  8052.5
 2003 09  5953·3
 2003 08  5825.1
 2003 07  3732·6
 2003 06  6423·0
 2003 05  4138·3
 2003 04  6041.6
 2003 03  7343·3
 2003 02  241·4
 2003 01  5745·5
 2002 12 9437·7
 2002 11 8641.7
 2002 10 3241·8
 2002 09 7550.5
 2002 08 6139·0
 2002 07 960·5
 2002 06 1849.4
 2002 05 9148.2
 2002 04 8636.7
 2002 03 9741.4
 2002 02 4642.5
 2002 01 2222·7
 2001 12  2144·7
 2001 11  3235.2
 2001 10  3129·8
 2001 09  1326.2
 2001 08  4040·1
 2001 07  2120·2
 2001 06  929.0
 2001 05  3349.6
 2001 04  4462·9
 2001 03  9546·4
 2001 02  4417.6
 2001 01  7627.5
 2000 12 5710.5
 2000 11 1218.7
 2000 10 2428.4
 2000 09 6232.0
 2000 08 3217·8
 2000 07 5331.1
 2000 06 6215.7
 2000 05 3427·9
 2000 04 4215·3
 2000 03 2417·5
 2000 02 9425.2
 2000 01 6228·1
 1999 12  8810·1
 1999 11  5835.3
 1999 10  8640·5
 1999 09  4028·0
 1999 08  9619·8
 1999 07  1014.0
 1999 06  2336.4
 1999 05  8714·6
 1999 04  1632.0
 1999 03  6334·0
 1999 02  2050.1
 1999 01  4723·1
 1998 12 2432.7
 1998 11 2225·0
 1998 10 1334.5
 1998 09 8956·9
 1998 08 1932·4
 1998 07 2120·1
 1998 06 6627.1
 1998 05 831.4
 1998 04 2743·9
 1998 03 1433.0
 1998 02 684.9
 1998 01 2217·2
 1997 12  9934.8
 1997 11  8536.6
 1997 10  3036.2
 1997 09  7638.2
 1997 08  1132.9
 1997 07  3938.7
 1997 06  9037·3
 1997 05  3923.7
 1997 04  6142.6
 1997 03  928·7
 1997 02  1234.2
 1997 01  442·3
 1996 12 7636.0
 1996 11 5029.8
 1996 10 8331·5
 1996 09 9250·0
 1996 08 733.7
 1996 07 4524.9
 1996 06 1728.3
 1996 05 4648·6
 1996 04 2847.5
 1996 03 143.7
 1996 02 5039·1
 1996 01 3535·0
 1995 12  4037·3
 1995 11  4830.2
 1995 10  4724.8
 1995 09  5430·1
 1995 08  6851·0
 1995 07  4337·7
 1995 06  9442·9
 1995 05  2243·8
 1995 04  6334.7
 1995 03  6935.3
 1995 02  623·6
 1995 01  8221·3
 1994 12 031.2
 1994 11 3129·5
 1994 10 1946.7
 1994 09 446.2
 1994 08 8037·9
 1994 07 6231·0
 1994 06 9621·3
 1994 05 8340·2
 1994 04 2741·9
 1994 03 1840.0
 1994 02 2652·2
 1994 01 3632·6
 1993 12  9346·7
 1993 11  8044.7
 1993 10  2242·6
 1993 09  942.4
 1993 08  5337·3
 1993 07  5643.5
 1993 06  2031.1
 1993 05  7135.0
 1993 04  644.8
 1993 03  7744.4
 1993 02  8541.8
 1993 01  1542.3
 1992 12 7949.1
 1992 11 9942·8
 1992 10 450.0
 1992 09 6139·3
 1992 08 2251.6
 1992 07 451.7
 1992 06 9047.8
 1992 05 5343·9
 1992 04 1040·8
 1992 03 039.0
 1992 02 8126.6
 1992 01 6045·7
 1991 12  4449.4
 1991 11  1747·1
 1991 10  3930.9
 1991 09  7622.0
 1991 08  4950.0
 1991 07  1239.1
 1991 06  5329.6
 1991 05  2026·2
 1991 04  7537.0
 1991 03  6722.5
 1991 02  3525.8
 1991 01  3723.1
 1990 12 9830·5
 1990 11 8829·1
 1990 10 2417.0
 1990 09 9611·2
 1990 08 1834·2
 1990 07 714.6
 1990 06 8221.2
 1990 05 9034·3
 1990 04 6135·1
 1990 03 8225.5
 1990 02 9716.7
 1990 01 4014·0
 1989 12  7722.1
 1989 11  9235·0
 1989 10  8317·4
 1989 09  8830·3
 1989 08  4112.4
 1989 07  4617·3
 1989 06  7621.4
 1989 05  433·0
 1989 04  5433.4
 1989 03  7453.6
 1989 02  4026·8
 1989 01  8316·5
 1988 12 4124.6
 1988 11 3317·5
 1988 10 6222·5
 1988 09 4433·6
 1988 08 5330.9
 1988 07 516.4
 1988 06 5712·5
 1988 05 3011.0
 1988 04 6437·6
 1988 03 9725.2
 1988 02 6132.9
 1988 01 1024.4
 1987 12  7649.7
 1987 11  4030·8
 1987 10  3733.2
 1987 09  8032·8
 1987 08  1441.2
 1987 07  9131.4
 1987 06  7411.4
 1987 05  5842·0
 1987 04  2825·6
 1987 03  326.4
 1987 02  8312·1
 1987 01  8733.1
 1986 12 9320.9
 1986 11 6811.1
 1986 10 411·0
 1986 09 3927.9
 1986 08 1018.9
 1986 07 3329.5
 1986 06 9919·2
 1986 05 516·5
 1986 04 429·4
 1986 03 8124.6
 1986 02 5526.3
 1986 01 633·7
 1985 12  2617·7
 1985 11  969·0
 1985 10  8725·0
 1985 09  8626.0
 1985 08  5127.7
 1985 07  8324.4
 1985 06  3122·7
 1985 05  1428·2
 1985 04  8017·1
 1985 03  7521·4
 1985 02  5030·9
 1985 01  848.4
 1984 12 3733·0
 1984 11 2828·0
 1984 10 3332.2
 1984 09 1536.5
 1984 08 7432.8
 1984 07 2338·1
 1984 06 9236.4
 1984 05 5139·5
 1984 04 6532·4
 1984 03 6839·0
 1984 02 6640·2
 1984 01 6227.3
 1983 12  1142.8
 1983 11  9334·6
 1983 10  1623.9
 1983 09  4127·5
 1983 08  3834·8
 1983 07  5618·7
 1983 06  3133·7
 1983 05  940·6
 1983 04  9549.2
 1983 03  3968.9
 1983 02  2530.1
 1983 01  853·0
 1982 12 5927.2
 1982 11 4728.6
 1982 10 3441.1
 1982 09 744.2
 1982 08 2926·3
 1982 07 1255·0
 1982 06 2138·5
 1982 05 331·5
 1982 04 3135·0
 1982 03 9241.0
 1982 02 7614.3
 1982 01 1219·8
 1981 12  1635.7
 1981 11  6716·8
 1981 10  916.2
 1981 09  8023.5
 1981 08  5837·5
 1981 07  4524.1
 1981 06  6034.5
 1981 05  7525·1
 1981 04  5930.2
 1981 03  5620.7
 1981 02  9119.8
 1981 01  9214.7
 1980 12 4227·5
 1980 11 5815.9
 1980 10 9114·9
 1980 09 5029.0
 1980 08 6032.9
 1980 07 3355·8
 1980 06 7149·8
 1980 05 9319.8
 1980 04 8725·6
 1980 03 8719.0
 1980 02 7018·3
 1980 01 9024·2
 1979 12  2430·8
 1979 11  5119.0
 1979 10  5121.8
 1979 09  3623·2
 1979 08  9625·0
 1979 07  8215.1
 1979 06  210.2
 1979 05  4818.8
 1979 04  5423·4
 1979 03  6214·0
 1979 02  3514·3
 1979 01  7311.3
 1978 12 720.3
 1978 11 9810.6
 1978 10 8812.8
 1978 09 7831·4
 1978 08 5130·6
 1978 07 2122.2
 1978 06 2539.6
 1978 05 5844.2
 1978 04 1823.0
 1978 03 8839·9
 1978 02 3352.4
 1978 01 3136.4
 1977 12  2151·9
 1977 11  8048·0
 1977 10  2548.9
 1977 09  4335·6
 1977 08  3731.5
 1977 07  454.5
 1977 06  4051·8
 1977 05  6245·2
 1977 04  6536.0
 1977 03  9149.9
 1977 02  3937.5
 1977 01  8345.3
 1976 12 3256·4
 1976 11 066.3
 1976 10 1136.8
 1976 09 2463.8
 1976 08 8749·0
 1976 07 1045·2
 1976 06 6845·4
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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.
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 65 years and over, 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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