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 Series Title: Employment Level: Nonagriculture, Government Wage and Salary Workers, 65 years and over, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 41537.
 2012 03 61571.
 2012 02 90563·
 2012 01 80528·
 2011 12  10494.
 2011 11  56474.
 2011 10  2473·
 2011 09  57476.
 2011 08  13415·
 2011 07  19387·
 2011 06  84428·
 2011 05  1418.
 2011 04  1482·
 2011 03  30507·
 2011 02  48525.
 2011 01  56544.
 2010 12 51491·
 2010 11 97475·
 2010 10 33433·
 2010 09 93399·
 2010 08 62362·
 2010 07 51385·
 2010 06 1483·
 2010 05 4550·
 2010 04 59536·
 2010 03 49550·
 2010 02 40516·
 2010 01 9526.
 2009 12  94483·
 2009 11  73443·
 2009 10  64430·
 2009 09  52419.
 2009 08  41410·
 2009 07  28437.
 2009 06  9439.
 2009 05  2477·
 2009 04  0507·
 2009 03  47472·
 2009 02  40459.
 2009 01  54472·
 2008 12 98490.
 2008 11 86479.
 2008 10 43509·
 2008 09 27464·
 2008 08 85381·
 2008 07 28423.
 2008 06 32424.
 2008 05 64470·
 2008 04 35472·
 2008 03 78443·
 2008 02 44413.
 2008 01 35438.
 2007 12  50435·
 2007 11  68438·
 2007 10  43388.
 2007 09  33401.
 2007 08  55315.
 2007 07  55360.
 2007 06  16353.
 2007 05  79382.
 2007 04  0377·
 2007 03  21336.
 2007 02  76330·
 2007 01  17335·
 2006 12 60348.
 2006 11 72420·
 2006 10 62386·
 2006 09 14379·
 2006 08 37311·
 2006 07 40306.
 2006 06 36318.
 2006 05 66377·
 2006 04 54323·
 2006 03 81325·
 2006 02 85357·
 2006 01 92322·
 2005 12  64392·
 2005 11  77387.
 2005 10  23325·
 2005 09  35321·
 2005 08  41250.
 2005 07  35257·
 2005 06  88287.
 2005 05  66335·
 2005 04  85330.
 2005 03  87302·
 2005 02  43293.
 2005 01  78264.
 2004 12 22309.
 2004 11 88291·
 2004 10 75290.
 2004 09 89298·
 2004 08 2237.
 2004 07 21245·
 2004 06 97278·
 2004 05 46279·
 2004 04 1316.
 2004 03 93330.
 2004 02 48317·
 2004 01 15313.
 2003 12  19321·
 2003 11  34312.
 2003 10  90294·
 2003 09  93287.
 2003 08  81232·
 2003 07  2227.
 2003 06  11283·
 2003 05  97280.
 2003 04  39285·
 2003 03  79313.
 2003 02  23321.
 2003 01  72327·
 2002 12 66287·
 2002 11 70293.
 2002 10 66286·
 2002 09 87318·
 2002 08 65257·
 2002 07 7279.
 2002 06 1275·
 2002 05 36297.
 2002 04 59271.
 2002 03 48295·
 2002 02 17282.
 2002 01 39279·
 2001 12  0288.
 2001 11  74264·
 2001 10  26268·
 2001 09  39312.
 2001 08  62269·
 2001 07  91240.
 2001 06  67256·
 2001 05  6289.
 2001 04  47235.
 2001 03  31246·
 2001 02  2276·
 2001 01  33264·
 2000 12 79278.
 2000 11 51284.
 2000 10 19263.
 2000 09 41270.
 2000 08 9233·
 2000 07 32190.
 2000 06 31235.
 2000 05 72297·
 2000 04 13285·
 2000 03 81281·
 2000 02 77301.
 2000 01 97261.
 1999 12  90251.
 1999 11  30256.
 1999 10  18213·
 1999 09  9233·
 1999 08  67195.
 1999 07  35179.
 1999 06  42239·
 1999 05  28241.
 1999 04  93255·
 1999 03  78274·
 1999 02  64264·
 1999 01  97238·
 1998 12 44226·
 1998 11 66216·
 1998 10 19195.
 1998 09 86199·
 1998 08 20200.
 1998 07 29199·
 1998 06 73214.
 1998 05 89243·
 1998 04 47233.
 1998 03 26256·
 1998 02 11246.
 1998 01 24240·
 1997 12  76216·
 1997 11  37204.
 1997 10  48183·
 1997 09  38190.
 1997 08  80195·
 1997 07  69176.
 1997 06  20171·
 1997 05  97202·
 1997 04  62215·
 1997 03  54226.
 1997 02  92204.
 1997 01  97227·
 1996 12 46215.
 1996 11 49203.
 1996 10 51193.
 1996 09 56214.
 1996 08 82194.
 1996 07 34190·
 1996 06 9199.
 1996 05 19228.
 1996 04 47237·
 1996 03 17238·
 1996 02 5235·
 1996 01 55230·
 1995 12  40247·
 1995 11  30241·
 1995 10  1244.
 1995 09  58236·
 1995 08  86203.
 1995 07  28203·
 1995 06  86200.
 1995 05  48281·
 1995 04  37269·
 1995 03  94251·
 1995 02  72243.
 1995 01  67244.
 1994 12 68227·
 1994 11 35278·
 1994 10 98227·
 1994 09 86220·
 1994 08 79163·
 1994 07 81160·
 1994 06 25177·
 1994 05 99226·
 1994 04 95237·
 1994 03 90249·
 1994 02 42283·
 1994 01 24261·
 1993 12  67233.
 1993 11  42245.
 1993 10  63246.
 1993 09  6205·
 1993 08  70179·
 1993 07  46193.
 1993 06  24233.
 1993 05  14228.
 1993 04  5228.
 1993 03  32227.
 1993 02  88219·
 1993 01  43212.
 1992 12 96213.
 1992 11 58211·
 1992 10 44233·
 1992 09 10227·
 1992 08 95169.
 1992 07 4195.
 1992 06 5227·
 1992 05 61207.
 1992 04 77217·
 1992 03 77218.
 1992 02 8177·
 1992 01 65194.
 1991 12  42178.
 1991 11  9198.
 1991 10  16190.
 1991 09  15211·
 1991 08  15199·
 1991 07  57195·
 1991 06  17216.
 1991 05  31250.
 1991 04  47252·
 1991 03  3263.
 1991 02  25238.
 1991 01  57227.
 1990 12 14197·
 1990 11 52235.
 1990 10 76219.
 1990 09 63243·
 1990 08 15214.
 1990 07 37208·
 1990 06 33246.
 1990 05 41261·
 1990 04 77239.
 1990 03 14220·
 1990 02 86233.
 1990 01 12228·
 1989 12  48227·
 1989 11  65223.
 1989 10  46226.
 1989 09  20233.
 1989 08  6214·
 1989 07  96213·
 1989 06  52199.
 1989 05  33234·
 1989 04  50216·
 1989 03  40217·
 1989 02  65220.
 1989 01  46214·
 1988 12 6194.
 1988 11 52272.
 1988 10 75187.
 1988 09 78190·
 1988 08 23192.
 1988 07 15188.
 1988 06 95189·
 1988 05 73187.
 1988 04 79213.
 1988 03 34231.
 1988 02 61223·
 1988 01 0213.
 1987 12  72201.
 1987 11  43194·
 1987 10  37208·
 1987 09  54186·
 1987 08  28162·
 1987 07  97174·
 1987 06  11169.
 1987 05  54181·
 1987 04  97179·
 1987 03  78189.
 1987 02  95188·
 1987 01  43187·
 1986 12 56167.
 1986 11 92167.
 1986 10 28196·
 1986 09 90195.
 1986 08 4182·
 1986 07 72176.
 1986 06 73161.
 1986 05 91170.
 1986 04 67157·
 1986 03 74163.
 1986 02 17151·
 1986 01 64163.
 1985 12  95165.
 1985 11  79165·
 1985 10  73174·
 1985 09  53172·
 1985 08  64134.
 1985 07  94144·
 1985 06  79155·
 1985 05  28162.
 1985 04  74164.
 1985 03  51172.
 1985 02  98157·
 1985 01  82138.
 1984 12 50168·
 1984 11 7170.
 1984 10 19194·
 1984 09 35190·
 1984 08 42170.
 1984 07 43147.
 1984 06 53149.
 1984 05 30171.
 1984 04 27158·
 1984 03 65155·
 1984 02 38156.
 1984 01 37146.
 1983 12  4154.
 1983 11  6174·
 1983 10  38165.
 1983 09  51173·
 1983 08  99150·
 1983 07  22138.
 1983 06  41153.
 1983 05  90158·
 1983 04  63153·
 1983 03  95163·
 1983 02  59145.
 1983 01  98139.
 1982 12 70169.
 1982 11 31153·
 1982 10 31161·
 1982 09 45168·
 1982 08 21140·
 1982 07 62128·
 1982 06 18136·
 1982 05 24166·
 1982 04 42159.
 1982 03 44156·
 1982 02 10126·
 1982 01 55124·
 1981 12  83137.
 1981 11  60140.
 1981 10  18162·
 1981 09  82151.
 1981 08  18136.
 1981 07  15143·
 1981 06  81164·
 1981 05  74165·
 1981 04  50140·
 1981 03  42149.
 1981 02  62132.
 1981 01  25139.
 1980 12 2147.
 1980 11 98150·
 1980 10 49149.
 1980 09 55149.
 1980 08 26150.
 1980 07 63144·
 1980 06 54151·
 1980 05 7176·
 1980 04 97153·
 1980 03 44157.
 1980 02 15158.
 1980 01 51168.
 1979 12  15152·
 1979 11  74154.
 1979 10  96146·
 1979 09  80146.
 1979 08  5123·
 1979 07  8124.
 1979 06  84145·
 1979 05  15149·
 1979 04  19155.
 1979 03  29155·
 1979 02  92136.
 1979 01  98138.
 1978 12 31137·
 1978 11 42130·
 1978 10 58136·
 1978 09 0137·
 1978 08 41122·
 1978 07 81119·
 1978 06 44132.
 1978 05 14133·
 1978 04 76132.
 1978 03 0137·
 1978 02 40141.
 1978 01 59135.
 1977 12  85128.
 1977 11  83138·
 1977 10  57132·
 1977 09  81117·
 1977 08  4599.
 1977 07  3598.
 1977 06  33102·
 1977 05  46119.
 1977 04  54130·
 1977 03  88137.
 1977 02  32140·
 1977 01  51140·
 1976 12 39142.
 1976 11 99139·
 1976 10 42121·
 1976 09 14125·
 1976 08 51118·
 1976 07 50102.
 1976 06 74118.
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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: Employment Level: Nonagriculture, Government Wage and Salary Workers, 65 years and over, Women: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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