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 Series Title: Of Total Unemployed 65 years and over, 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 1371.3
 2012 03 3262.8
 2012 02 8561.5
 2012 01 8961·3
 2011 12  8263·2
 2011 11  664·7
 2011 10  558.6
 2011 09  5165.5
 2011 08  9963.7
 2011 07  6065·1
 2011 06  662·1
 2011 05  9369.4
 2011 04  1469.6
 2011 03  7667·6
 2011 02  365·3
 2011 01  5966·8
 2010 12 265·3
 2010 11 6069.2
 2010 10 3272.0
 2010 09 1867·5
 2010 08 6359.1
 2010 07 4363.0
 2010 06 5861·6
 2010 05 6466·9
 2010 04 2467·5
 2010 03 8263.5
 2010 02 6756.6
 2010 01 1757.3
 2009 12  3559.6
 2009 11  6067·2
 2009 10  7265.0
 2009 09  2164·1
 2009 08  7056·9
 2009 07  8256.5
 2009 06  1355.9
 2009 05  4454·5
 2009 04  3151·4
 2009 03  8047·3
 2009 02  5046.6
 2009 01  8143.5
 2008 12 4243·8
 2008 11 1145.0
 2008 10 7350·0
 2008 09 5138·4
 2008 08 5537·8
 2008 07 5637·2
 2008 06 9427·2
 2008 05 9931.5
 2008 04 4434·4
 2008 03 2333.3
 2008 02 5136·6
 2008 01 9337.7
 2007 12  1034.3
 2007 11  4236·4
 2007 10  737·8
 2007 09  2728.4
 2007 08  7835·4
 2007 07  7133.2
 2007 06  5029·0
 2007 05  2126·6
 2007 04  9936.3
 2007 03  9133·7
 2007 02  9340·2
 2007 01  1821.9
 2006 12 4833.0
 2006 11 843.1
 2006 10 7341·3
 2006 09 8828·3
 2006 08 2527.5
 2006 07 5525.9
 2006 06 5429·9
 2006 05 2635·0
 2006 04 5639.6
 2006 03 8837.4
 2006 02 2336.1
 2006 01 4934.3
 2005 12  9244·9
 2005 11  8843·7
 2005 10  9449.7
 2005 09  334.5
 2005 08  736.0
 2005 07  6332.4
 2005 06  332.9
 2005 05  5742.3
 2005 04  249.7
 2005 03  4441.4
 2005 02  1535·2
 2005 01  441·6
 2004 12 246·7
 2004 11 8744.9
 2004 10 1734.1
 2004 09 6338.6
 2004 08 5932.4
 2004 07 7440·2
 2004 06 2245.6
 2004 05 8041.9
 2004 04 4660.1
 2004 03 1252.0
 2004 02 6749.9
 2004 01 2251.9
 2003 12  6555.1
 2003 11  3328·8
 2003 10  1645.7
 2003 09  8545.9
 2003 08  4136.3
 2003 07  9235.0
 2003 06  5736·2
 2003 05  8743·2
 2003 04  2447·8
 2003 03  7346.0
 2003 02  240·6
 2003 01  7242·4
 2002 12 9042.1
 2002 11 8035.8
 2002 10 8933.9
 2002 09 1046·8
 2002 08 4036.4
 2002 07 4754.8
 2002 06 8147·8
 2002 05 9543·1
 2002 04 9745·6
 2002 03 2941.9
 2002 02 6734.0
 2002 01 4633.1
 2001 12  1434.7
 2001 11  928·1
 2001 10  5827·4
 2001 09  626.5
 2001 08  6540.6
 2001 07  9336·4
 2001 06  9432·7
 2001 05  4647.8
 2001 04  5151.5
 2001 03  1240·7
 2001 02  3633·7
 2001 01  5930·0
 2000 12 9632.9
 2000 11 2331·0
 2000 10 7330·3
 2000 09 6436·8
 2000 08 5339.4
 2000 07 940·9
 2000 06 1720·1
 2000 05 634.0
 2000 04 9532.1
 2000 03 7529·1
 2000 02 725.8
 2000 01 5432.2
 1999 12  2318·5
 1999 11  5232·8
 1999 10  642.5
 1999 09  135.0
 1999 08  6331.8
 1999 07  9937.9
 1999 06  042·3
 1999 05  6728·6
 1999 04  6543·0
 1999 03  9625.4
 1999 02  435.6
 1999 01  9724.4
 1998 12 528.1
 1998 11 5031·6
 1998 10 5435·4
 1998 09 5952.8
 1998 08 8235.3
 1998 07 9325.4
 1998 06 1522·7
 1998 05 4733.5
 1998 04 2330.6
 1998 03 8238.9
 1998 02 7327·3
 1998 01 8128.1
 1997 12  7748.6
 1997 11  9727.2
 1997 10  4248.5
 1997 09  436·3
 1997 08  2039.4
 1997 07  4641.0
 1997 06  5931·2
 1997 05  8627·8
 1997 04  5244.8
 1997 03  6038·4
 1997 02  8835.4
 1997 01  2136·5
 1996 12 034.0
 1996 11 9637·3
 1996 10 1636.9
 1996 09 2949·6
 1996 08 1241.0
 1996 07 3539·6
 1996 06 5739·2
 1996 05 5246·8
 1996 04 6542.7
 1996 03 8547.2
 1996 02 4746·4
 1996 01 6136·7
 1995 12  5946·4
 1995 11  7738·5
 1995 10  5133.9
 1995 09  4942.1
 1995 08  1949.8
 1995 07  6740·8
 1995 06  5640.2
 1995 05  3642.3
 1995 04  9628.8
 1995 03  3738.1
 1995 02  7431.1
 1995 01  6634·5
 1994 12 6636.3
 1994 11 9438·2
 1994 10 4442.2
 1994 09 849.6
 1994 08 2739·0
 1994 07 6947·1
 1994 06 2936·2
 1994 05 5652·6
 1994 04 752·9
 1994 03 1941·0
 1994 02 1641.6
 1994 01 2936.0
 1993 12  5551.6
 1993 11  2643.0
 1993 10  1848.0
 1993 09  7247·8
 1993 08  4642·8
 1993 07  9746·2
 1993 06  7442.7
 1993 05  5351·8
 1993 04  8253.8
 1993 03  6250·5
 1993 02  4650.3
 1993 01  6643·6
 1992 12 8746.0
 1992 11 7944.3
 1992 10 2250·3
 1992 09 3235·9
 1992 08 1250·7
 1992 07 2954·3
 1992 06 1552·0
 1992 05 9347·5
 1992 04 3243·4
 1992 03 1957.6
 1992 02 6237.6
 1992 01 2037·5
 1991 12  4849·4
 1991 11  8045.7
 1991 10  2850·1
 1991 09  536.5
 1991 08  8541.5
 1991 07  7039.3
 1991 06  9827.7
 1991 05  6932.9
 1991 04  9341·0
 1991 03  6931.3
 1991 02  8833·1
 1991 01  5622.1
 1990 12 4831·6
 1990 11 8532·1
 1990 10 3441·3
 1990 09 3427.2
 1990 08 5033·3
 1990 07 4913.1
 1990 06 9927·6
 1990 05 9830.9
 1990 04 2527·0
 1990 03 1830·6
 1990 02 7129·5
 1990 01 6729·0
 1989 12  2322·0
 1989 11  7326.1
 1989 10  6321·0
 1989 09  8425·8
 1989 08  1921·4
 1989 07  2123·1
 1989 06  1424.2
 1989 05  2131.6
 1989 04  1423·4
 1989 03  9344·5
 1989 02  8526.4
 1989 01  6928.2
 1988 12 3334·6
 1988 11 4729·7
 1988 10 6441·1
 1988 09 4933·7
 1988 08 2729·4
 1988 07 6414.9
 1988 06 6614.8
 1988 05 419·0
 1988 04 7126·8
 1988 03 5127.1
 1988 02 2729·1
 1988 01 529.8
 1987 12  6540·5
 1987 11  3827·9
 1987 10  1038·2
 1987 09  4434.5
 1987 08  3436·3
 1987 07  8428·8
 1987 06  430.5
 1987 05  4144·3
 1987 04  3043·5
 1987 03  6922.7
 1987 02  2023·8
 1987 01  4035.3
 1986 12 2727·6
 1986 11 025.8
 1986 10 9820.6
 1986 09 1135·2
 1986 08 2625·9
 1986 07 937·9
 1986 06 026.6
 1986 05 4725.8
 1986 04 5332.7
 1986 03 5229.8
 1986 02 1427.8
 1986 01 6831.9
 1985 12  5737·1
 1985 11  1129.5
 1985 10  5229.1
 1985 09  1727·9
 1985 08  1431·5
 1985 07  9335.6
 1985 06  5328·1
 1985 05  6527·9
 1985 04  2420·6
 1985 03  2936·5
 1985 02  7941.2
 1985 01  430.9
 1984 12 1438.3
 1984 11 7742·1
 1984 10 1943·8
 1984 09 5537·1
 1984 08 3229.2
 1984 07 1634·0
 1984 06 8546·7
 1984 05 6045.1
 1984 04 5640.6
 1984 03 5633·2
 1984 02 1631·2
 1984 01 9141.9
 1983 12  8444.3
 1983 11  2645.3
 1983 10  7335·6
 1983 09  4026.5
 1983 08  4327.4
 1983 07  8326·5
 1983 06  4638.6
 1983 05  2654·3
 1983 04  8250.1
 1983 03  1053·5
 1983 02  4641·1
 1983 01  9546.5
 1982 12 7838·7
 1982 11 1238·9
 1982 10 1242.8
 1982 09 1432.9
 1982 08 3033·1
 1982 07 2242.1
 1982 06 743·4
 1982 05 7927·3
 1982 04 6433.9
 1982 03 9635.2
 1982 02 1833·6
 1982 01 818.9
 1981 12  3122.1
 1981 11  1622·6
 1981 10  5919.0
 1981 09  4535·2
 1981 08  534·5
 1981 07  8834.7
 1981 06  6736.1
 1981 05  6030·8
 1981 04  8739·1
 1981 03  4533.2
 1981 02  525.8
 1981 01  4723·9
 1980 12 329.4
 1980 11 4120·9
 1980 10 6121.8
 1980 09 2428·7
 1980 08 327.7
 1980 07 6132.9
 1980 06 4935.0
 1980 05 3719.2
 1980 04 6223.6
 1980 03 924·1
 1980 02 522·9
 1980 01 5321.9
 1979 12  8130.2
 1979 11  1728·1
 1979 10  9329.4
 1979 09  6828.6
 1979 08  8529·7
 1979 07  4329.0
 1979 06  033·4
 1979 05  037·5
 1979 04  2533·7
 1979 03  6824.7
 1979 02  4018.5
 1979 01  9421.9
 1978 12 7521.4
 1978 11 9817.2
 1978 10 5133.4
 1978 09 1932·6
 1978 08 3732.1
 1978 07 6633.0
 1978 06 9540·8
 1978 05 6847.0
 1978 04 3534.6
 1978 03 2747·0
 1978 02 6046·4
 1978 01 6240·0
 1977 12  2042.4
 1977 11  6344·1
 1977 10  5946.0
 1977 09  4339.5
 1977 08  6830.7
 1977 07  8244·3
 1977 06  3146.5
 1977 05  8243·1
 1977 04  7840.5
 1977 03  1454·3
 1977 02  3733.4
 1977 01  7250.7
 1976 12 7755.0
 1976 11 1761·4
 1976 10 6641.3
 1976 09 3348.1
 1976 08 1444.1
 1976 07 7243.7
 1976 06 3053.5
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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, 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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