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 Series Title: Employment Level: Nonagriculture, Government Wage and Salary Workers, 65 years and over, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 33434.
 2012 03 53458.
 2012 02 43440.
 2012 01 99425·
 2011 12  42431.
 2011 11  94453·
 2011 10  81444.
 2011 09  56449·
 2011 08  55412.
 2011 07  72434.
 2011 06  57396·
 2011 05  49414.
 2011 04  23453·
 2011 03  67411.
 2011 02  85460.
 2011 01  23426.
 2010 12 20390·
 2010 11 86370.
 2010 10 1408.
 2010 09 46422·
 2010 08 47412.
 2010 07 61449·
 2010 06 70450·
 2010 05 12468·
 2010 04 30465.
 2010 03 49416·
 2010 02 79435.
 2010 01 41449.
 2009 12  18399·
 2009 11  30396·
 2009 10  41409·
 2009 09  77412.
 2009 08  87380.
 2009 07  13374·
 2009 06  93424·
 2009 05  89434·
 2009 04  38413.
 2009 03  28429·
 2009 02  99395.
 2009 01  72418·
 2008 12 96424·
 2008 11 32384.
 2008 10 47400·
 2008 09 43405.
 2008 08 12399·
 2008 07 7385.
 2008 06 49386.
 2008 05 48382·
 2008 04 60380·
 2008 03 59388.
 2008 02 43354·
 2008 01 56327.
 2007 12  41315·
 2007 11  21318·
 2007 10  93320·
 2007 09  60356·
 2007 08  81346.
 2007 07  48330·
 2007 06  85300.
 2007 05  80334.
 2007 04  30326·
 2007 03  22298·
 2007 02  34302.
 2007 01  60282·
 2006 12 63285·
 2006 11 50305.
 2006 10 76309.
 2006 09 69310·
 2006 08 80282·
 2006 07 64295·
 2006 06 76304·
 2006 05 1329·
 2006 04 8316.
 2006 03 20333·
 2006 02 19276·
 2006 01 76285.
 2005 12  96312·
 2005 11  0305·
 2005 10  21359.
 2005 09  38314.
 2005 08  21339.
 2005 07  10337.
 2005 06  18335·
 2005 05  55378.
 2005 04  81311.
 2005 03  82262·
 2005 02  73228.
 2005 01  22217·
 2004 12 3270.
 2004 11 74292.
 2004 10 75306·
 2004 09 58315.
 2004 08 37277.
 2004 07 65261·
 2004 06 35320·
 2004 05 7341.
 2004 04 59308·
 2004 03 64328.
 2004 02 93316·
 2004 01 38286·
 2003 12  68284·
 2003 11  1259.
 2003 10  10256.
 2003 09  46245.
 2003 08  91198.
 2003 07  34190·
 2003 06  75250·
 2003 05  49311.
 2003 04  77305.
 2003 03  44322.
 2003 02  1319.
 2003 01  92303·
 2002 12 2300·
 2002 11 37274.
 2002 10 26259·
 2002 09 44256·
 2002 08 66208·
 2002 07 46203.
 2002 06 12239·
 2002 05 98280.
 2002 04 96274.
 2002 03 26261·
 2002 02 47253·
 2002 01 75245.
 2001 12  40228·
 2001 11  60225.
 2001 10  45225·
 2001 09  18263·
 2001 08  75258.
 2001 07  55262.
 2001 06  42281·
 2001 05  97273·
 2001 04  1291·
 2001 03  41295.
 2001 02  3272·
 2001 01  5266.
 2000 12 44254.
 2000 11 75278.
 2000 10 15269·
 2000 09 61280.
 2000 08 53265.
 2000 07 40263·
 2000 06 90266.
 2000 05 11283·
 2000 04 4287.
 2000 03 42295.
 2000 02 67279.
 2000 01 22244·
 1999 12  98227·
 1999 11  11187·
 1999 10  9205.
 1999 09  89217.
 1999 08  59225·
 1999 07  6233.
 1999 06  3225·
 1999 05  32236·
 1999 04  39218.
 1999 03  8204.
 1999 02  62212.
 1999 01  94225·
 1998 12 13218·
 1998 11 23212·
 1998 10 25210.
 1998 09 45193·
 1998 08 80166.
 1998 07 82187·
 1998 06 54183·
 1998 05 78209.
 1998 04 67231.
 1998 03 44215.
 1998 02 37212·
 1998 01 13224·
 1997 12  24199·
 1997 11  88182·
 1997 10  87189.
 1997 09  94157.
 1997 08  27160·
 1997 07  23169·
 1997 06  41185·
 1997 05  90203.
 1997 04  74208·
 1997 03  79209.
 1997 02  64196.
 1997 01  95192.
 1996 12 93186·
 1996 11 13178·
 1996 10 42180·
 1996 09 28174.
 1996 08 34184·
 1996 07 7188.
 1996 06 88192.
 1996 05 34196·
 1996 04 71182.
 1996 03 67211·
 1996 02 41185·
 1996 01 82218·
 1995 12  5235.
 1995 11  26211.
 1995 10  63240·
 1995 09  66210·
 1995 08  62173.
 1995 07  39182·
 1995 06  42181·
 1995 05  4221.
 1995 04  92242·
 1995 03  89249.
 1995 02  92211.
 1995 01  41231·
 1994 12 70234·
 1994 11 81255·
 1994 10 49260·
 1994 09 47265.
 1994 08 97237·
 1994 07 48208.
 1994 06 77231.
 1994 05 15248.
 1994 04 98214.
 1994 03 47192.
 1994 02 64172·
 1994 01 64192·
 1993 12  24185.
 1993 11  58176·
 1993 10  22199·
 1993 09  39195·
 1993 08  49189·
 1993 07  89188.
 1993 06  90169.
 1993 05  9188.
 1993 04  75170.
 1993 03  71216·
 1993 02  31202·
 1993 01  68207.
 1992 12 27189.
 1992 11 61220·
 1992 10 31224.
 1992 09 34222·
 1992 08 55189·
 1992 07 41152·
 1992 06 5175.
 1992 05 53174.
 1992 04 34192.
 1992 03 16223.
 1992 02 90200·
 1992 01 94215·
 1991 12  65214.
 1991 11  20219·
 1991 10  49193.
 1991 09  49191·
 1991 08  74166·
 1991 07  7171.
 1991 06  69169.
 1991 05  39208·
 1991 04  10235.
 1991 03  61229·
 1991 02  65238·
 1991 01  8213·
 1990 12 49207.
 1990 11 88201·
 1990 10 73191.
 1990 09 25196.
 1990 08 92191.
 1990 07 19169.
 1990 06 56192·
 1990 05 84221.
 1990 04 63215·
 1990 03 10212·
 1990 02 3203·
 1990 01 4207·
 1989 12  14225·
 1989 11  45194·
 1989 10  26202.
 1989 09  30201.
 1989 08  19205.
 1989 07  28209·
 1989 06  64216·
 1989 05  30218.
 1989 04  79200·
 1989 03  93213.
 1989 02  78186.
 1989 01  98197·
 1988 12 20204.
 1988 11 95202·
 1988 10 58191·
 1988 09 54194.
 1988 08 91205·
 1988 07 16171·
 1988 06 15217·
 1988 05 42206.
 1988 04 69192·
 1988 03 63213.
 1988 02 88196.
 1988 01 31193.
 1987 12  53183.
 1987 11  68186·
 1987 10  40191·
 1987 09  15192·
 1987 08  70203.
 1987 07  86210.
 1987 06  58189·
 1987 05  14195.
 1987 04  68197·
 1987 03  1202.
 1987 02  56200.
 1987 01  71194.
 1986 12 25170·
 1986 11 17161·
 1986 10 71164.
 1986 09 55153·
 1986 08 39132.
 1986 07 68171.
 1986 06 66153·
 1986 05 61166·
 1986 04 37208.
 1986 03 10217·
 1986 02 30197·
 1986 01 8225.
 1985 12  69213.
 1985 11  23213.
 1985 10  74208·
 1985 09  40211.
 1985 08  10180.
 1985 07  16174·
 1985 06  37153·
 1985 05  26173·
 1985 04  61187·
 1985 03  19182·
 1985 02  82174·
 1985 01  61155.
 1984 12 47172·
 1984 11 89178.
 1984 10 97204.
 1984 09 63200.
 1984 08 18156·
 1984 07 9154·
 1984 06 94150·
 1984 05 76171·
 1984 04 51166.
 1984 03 84180.
 1984 02 12186.
 1984 01 70181.
 1983 12  44171.
 1983 11  45188.
 1983 10  12200.
 1983 09  39184.
 1983 08  25171·
 1983 07  51171·
 1983 06  85181·
 1983 05  2200·
 1983 04  42183.
 1983 03  82191·
 1983 02  41170.
 1983 01  3175.
 1982 12 72177·
 1982 11 45184·
 1982 10 19178.
 1982 09 11195·
 1982 08 14191·
 1982 07 72184·
 1982 06 82209.
 1982 05 21200.
 1982 04 95173.
 1982 03 19196·
 1982 02 18189·
 1982 01 51183.
 1981 12  64190.
 1981 11  69193·
 1981 10  40196·
 1981 09  46184.
 1981 08  98178.
 1981 07  27180.
 1981 06  85185·
 1981 05  75199·
 1981 04  95201.
 1981 03  25209.
 1981 02  17185·
 1981 01  31204.
 1980 12 83216·
 1980 11 20217.
 1980 10 23204·
 1980 09 35192·
 1980 08 11188·
 1980 07 93173.
 1980 06 16204.
 1980 05 30211·
 1980 04 54205.
 1980 03 52215.
 1980 02 34220·
 1980 01 85210.
 1979 12  13207.
 1979 11  27216.
 1979 10  41201·
 1979 09  95203.
 1979 08  14181·
 1979 07  76184·
 1979 06  23184·
 1979 05  79207.
 1979 04  6181·
 1979 03  81185·
 1979 02  94193·
 1979 01  80198·
 1978 12 65201·
 1978 11 46196·
 1978 10 92176.
 1978 09 69164.
 1978 08 92155.
 1978 07 6160.
 1978 06 79173·
 1978 05 38176.
 1978 04 12167·
 1978 03 15156.
 1978 02 44159·
 1978 01 8177·
 1977 12  75181.
 1977 11  56187·
 1977 10  99183.
 1977 09  22210.
 1977 08  57163.
 1977 07  35183·
 1977 06  83177·
 1977 05  49194.
 1977 04  58170.
 1977 03  85170.
 1977 02  57175.
 1977 01  84167·
 1976 12 3173·
 1976 11 60176.
 1976 10 11154·
 1976 09 46182·
 1976 08 43177.
 1976 07 44157·
 1976 06 57171.
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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, Men: 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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