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 Series Title: Of Total Unemployed 65 years and over, Women, Percent Unemployed Less than 5 Weeks: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 6716.8
 2012 03 5118.5
 2012 02 1015.4
 2012 01 7919.3
 2011 12  1418·2
 2011 11  7721·5
 2011 10  3019·5
 2011 09  6422·0
 2011 08  5322.7
 2011 07  2713·6
 2011 06  7615·6
 2011 05  7423·1
 2011 04  3424.4
 2011 03  8215·0
 2011 02  6021.2
 2011 01  5127·3
 2010 12 3117.9
 2010 11 4918·1
 2010 10 2114.8
 2010 09 6519.4
 2010 08 4713.0
 2010 07 5917·5
 2010 06 2223.4
 2010 05 1023·4
 2010 04 514.5
 2010 03 6916.9
 2010 02 5026·0
 2010 01 519.0
 2009 12  5630·9
 2009 11  6115·7
 2009 10  1814·4
 2009 09  9517·8
 2009 08  7616.8
 2009 07  4122·3
 2009 06  6531.4
 2009 05  4821.3
 2009 04  6519.8
 2009 03  4129.3
 2009 02  5331·3
 2009 01  5934·8
 2008 12 4925.9
 2008 11 1740·2
 2008 10 7030.2
 2008 09 4733·6
 2008 08 7729·4
 2008 07 5239.4
 2008 06 2946.3
 2008 05 5633.3
 2008 04 2647·7
 2008 03 5227·0
 2008 02 6733.9
 2008 01 5430.2
 2007 12  9535.2
 2007 11  4844·0
 2007 10  4940.3
 2007 09  3748.6
 2007 08  1131.4
 2007 07  9732.0
 2007 06  6139·4
 2007 05  2454.8
 2007 04  2248.4
 2007 03  8251.3
 2007 02  1655.4
 2007 01  5751.7
 2006 12 630.5
 2006 11 724.6
 2006 10 5315·7
 2006 09 854·6
 2006 08 6237·4
 2006 07 633.5
 2006 06 3462.9
 2006 05 6913·2
 2006 04 1541.9
 2006 03 3438.0
 2006 02 4751.9
 2006 01 6033.1
 2005 12  1743.6
 2005 11  7418·9
 2005 10  634.5
 2005 09  2554.5
 2005 08  4117·3
 2005 07  3254·8
 2005 06  4759·1
 2005 05  3451.2
 2005 04  9028.6
 2005 03  3912.3
 2005 02  3433·2
 2005 01  7946.6
 2004 12 8726·1
 2004 11 5340.3
 2004 10 5539.3
 2004 09 8141.6
 2004 08 8534·7
 2004 07 5533·0
 2004 06 2234·0
 2004 05 8436·8
 2004 04 5735·8
 2004 03 5122.6
 2004 02 7436·4
 2004 01 5720.4
 2003 12  417·6
 2003 11  7334·3
 2003 10  7322.0
 2003 09  9332·5
 2003 08  5234·0
 2003 07  7827·6
 2003 06  862·9
 2003 05  1240.9
 2003 04  5222·7
 2003 03  4828·7
 2003 02  9129.8
 2003 01  5924.0
 2002 12 7725·0
 2002 11 8941.4
 2002 10 5926.2
 2002 09 234.0
 2002 08 3041.9
 2002 07 3317·5
 2002 06 7726·7
 2002 05 3529.7
 2002 04 3529·8
 2002 03 3625·4
 2002 02 3237·7
 2002 01 7856.0
 2001 12  4238·7
 2001 11  8033.0
 2001 10  3630·7
 2001 09  7543·1
 2001 08  2832.4
 2001 07  7156·7
 2001 06  2866·9
 2001 05  9537.6
 2001 04  9216·6
 2001 03  4225.7
 2001 02  7139.0
 2001 01  3258·9
 2000 12 6044·2
 2000 11 4956.6
 2000 10 5245.6
 2000 09 435·5
 2000 08 8252.6
 2000 07 7444.0
 2000 06 8463.6
 2000 05 5725·6
 2000 04 3442·6
 2000 03 2353·6
 2000 02 548.5
 2000 01 6049.2
 1999 12  1658·1
 1999 11  2858.2
 1999 10  7931·9
 1999 09  647·6
 1999 08  5338.1
 1999 07  4545·1
 1999 06  9238.8
 1999 05  1558.2
 1999 04  9636.1
 1999 03  5734·1
 1999 02  5927.1
 1999 01  3137·4
 1998 12 2051·5
 1998 11 6948.2
 1998 10 1651·8
 1998 09 2337.7
 1998 08 2642.3
 1998 07 1431.1
 1998 06 2633.1
 1998 05 8456.9
 1998 04 3952.9
 1998 03 4735·3
 1998 02 7949.6
 1998 01 3642·8
 1997 12  935·5
 1997 11  5226.0
 1997 10  8544.3
 1997 09  2037.6
 1997 08  1148·5
 1997 07  3441·9
 1997 06  8434·6
 1997 05  755.2
 1997 04  4721.0
 1997 03  2549.5
 1997 02  3932·5
 1997 01  9126·7
 1996 12 4217·6
 1996 11 8242.5
 1996 10 3644.1
 1996 09 9133·2
 1996 08 4533·1
 1996 07 8547·7
 1996 06 8946.2
 1996 05 5146.3
 1996 04 3325.9
 1996 03 4324·3
 1996 02 3636.6
 1996 01 4030·6
 1995 12  529.2
 1995 11  8748.3
 1995 10  4054·6
 1995 09  5242·7
 1995 08  8824.6
 1995 07  7231.5
 1995 06  8925·8
 1995 05  645·5
 1995 04  3116·6
 1995 03  8243·3
 1995 02  9559.4
 1995 01  4751·4
 1994 12 1028.0
 1994 11 2228·7
 1994 10 9731·7
 1994 09 4438.5
 1994 08 2530.8
 1994 07 2435.8
 1994 06 5754·6
 1994 05 9138·3
 1994 04 144·0
 1994 03 4533·6
 1994 02 6318·4
 1994 01 739·3
 1993 12  9012.5
 1993 11  6620·5
 1993 10  2829.8
 1993 09  3538·9
 1993 08  6629.3
 1993 07  9544.9
 1993 06  9041·7
 1993 05  4639·3
 1993 04  3041·0
 1993 03  6236.4
 1993 02  1232.9
 1993 01  3434·4
 1992 12 824·7
 1992 11 2436·9
 1992 10 8229.3
 1992 09 1735·1
 1992 08 4927·8
 1992 07 6429·3
 1992 06 1325.0
 1992 05 3938·6
 1992 04 2823.4
 1992 03 8725.6
 1992 02 4246·3
 1992 01 7131.4
 1991 12  4827·9
 1991 11  2534.2
 1991 10  3338·3
 1991 09  551·1
 1991 08  3221·3
 1991 07  3527.4
 1991 06  7345·7
 1991 05  6139·5
 1991 04  3137·8
 1991 03  9926·5
 1991 02  7535·9
 1991 01  8438·2
 1990 12 2136·8
 1990 11 2327.3
 1990 10 7750·5
 1990 09 4246·7
 1990 08 141·5
 1990 07 3940.8
 1990 06 4358·1
 1990 05 3037·5
 1990 04 9834.4
 1990 03 332·0
 1990 02 5936·6
 1990 01 6650.6
 1989 12  6271.4
 1989 11  9840.7
 1989 10  3959.2
 1989 09  9515.9
 1989 08  6827·6
 1989 07  2957.3
 1989 06  2130.9
 1989 05  8644.1
 1989 04  1644·0
 1989 03  2811·8
 1989 02  6736·8
 1989 01  3433.6
 1988 12 3326·7
 1988 11 5336·0
 1988 10 6645·0
 1988 09 5638·0
 1988 08 6730.7
 1988 07 8461.5
 1988 06 3060·1
 1988 05 9854·4
 1988 04 9545·8
 1988 03 2845·9
 1988 02 9854·4
 1988 01 2856.4
 1987 12  1832.8
 1987 11  1862.6
 1987 10  3119.2
 1987 09  4144·8
 1987 08  6029.5
 1987 07  935·7
 1987 06  1938·5
 1987 05  5548·2
 1987 04  7152·6
 1987 03  8362.1
 1987 02  7351·7
 1987 01  1640.9
 1986 12 2852·4
 1986 11 4758·4
 1986 10 3370.5
 1986 09 9240·0
 1986 08 3158.4
 1986 07 3336.4
 1986 06 6047·7
 1986 05 7732.5
 1986 04 440.5
 1986 03 9744.8
 1986 02 4343.8
 1986 01 9048·1
 1985 12  9958.0
 1985 11  2176·4
 1985 10  9450·9
 1985 09  7541·7
 1985 08  9158·0
 1985 07  1136.1
 1985 06  5150.8
 1985 05  344.1
 1985 04  8070.1
 1985 03  9944.5
 1985 02  7826.1
 1985 01  6656·9
 1984 12 9241.3
 1984 11 4248·7
 1984 10 6247.9
 1984 09 8439.5
 1984 08 7637.0
 1984 07 2141·7
 1984 06 1643·9
 1984 05 136·4
 1984 04 951·9
 1984 03 4343.7
 1984 02 7836.5
 1984 01 8635·5
 1983 12  9135.3
 1983 11  4038.2
 1983 10  1128·0
 1983 09  3459·7
 1983 08  4735.7
 1983 07  6835.4
 1983 06  226.8
 1983 05  6335·8
 1983 04  2714·2
 1983 03  919.8
 1983 02  6545·8
 1983 01  1838.7
 1982 12 751.7
 1982 11 7046·2
 1982 10 3842·6
 1982 09 6736.1
 1982 08 8841·1
 1982 07 8215.4
 1982 06 8336.7
 1982 05 641·8
 1982 04 9447.4
 1982 03 135·1
 1982 02 8841·3
 1982 01 5245·6
 1981 12  7726.9
 1981 11  1151·0
 1981 10  6769·4
 1981 09  5150·1
 1981 08  1131.4
 1981 07  1645·7
 1981 06  5647.0
 1981 05  7037.4
 1981 04  9737·8
 1981 03  4940·6
 1981 02  2036.0
 1981 01  665.8
 1980 12 6041·7
 1980 11 6631.5
 1980 10 4551.8
 1980 09 7653·4
 1980 08 5052·1
 1980 07 5034.8
 1980 06 4538.0
 1980 05 2434·0
 1980 04 4445·4
 1980 03 659.6
 1980 02 5855.4
 1980 01 2170.7
 1979 12  4238·3
 1979 11  6759.0
 1979 10  4639.1
 1979 09  6028.8
 1979 08  6829·0
 1979 07  8837·8
 1979 06  9839·6
 1979 05  5932·2
 1979 04  7326.3
 1979 03  5242.1
 1979 02  2661.0
 1979 01  6561·8
 1978 12 3345.4
 1978 11 6551.2
 1978 10 6836.4
 1978 09 4444.0
 1978 08 4839.5
 1978 07 6060·4
 1978 06 8739·4
 1978 05 9235·3
 1978 04 4332.6
 1978 03 9133.5
 1978 02 7137.9
 1978 01 2844·6
 1977 12  7024·2
 1977 11  4235.8
 1977 10  3335.8
 1977 09  9633·2
 1977 08  235·2
 1977 07  1924.8
 1977 06  1122.1
 1977 05  6438.4
 1977 04  4152.3
 1977 03  5333.4
 1977 02  6743·1
 1977 01  2836·8
 1976 12 1224·7
 1976 11 220.6
 1976 10 9028·6
 1976 09 622.0
 1976 08 6538·1
 1976 07 4627.3
 1976 06 9327.1
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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

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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: Of Total Unemployed 65 years and over, Women, Percent Unemployed Less than 5 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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