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 Series Title: Employment Level: Nonagriculture, Government Wage and Salary Workers, 65 years 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 80971·
 2012 03 331029·
 2012 02 331004.
 2012 01 28953.
 2011 12  87925·
 2011 11  84927·
 2011 10  93917.
 2011 09  20924·
 2011 08  48827.
 2011 07  22821·
 2011 06  42824·
 2011 05  98831·
 2011 04  13935·
 2011 03  27918.
 2011 02  93985.
 2011 01  7970·
 2010 12 58880·
 2010 11 6844.
 2010 10 82841.
 2010 09 15821·
 2010 08 83774.
 2010 07 91835·
 2010 06 73932·
 2010 05 161017.
 2010 04 131001·
 2010 03 39966·
 2010 02 55951.
 2010 01 31974.
 2009 12  99882.
 2009 11  31839.
 2009 10  39839.
 2009 09  2831·
 2009 08  16790·
 2009 07  74812·
 2009 06  64863·
 2009 05  99911.
 2009 04  65920·
 2009 03  99901.
 2009 02  93854.
 2009 01  16890·
 2008 12 70915·
 2008 11 63862.
 2008 10 13909·
 2008 09 73869·
 2008 08 83779·
 2008 07 48807.
 2008 06 38810.
 2008 05 13851.
 2008 04 79852·
 2008 03 61831.
 2008 02 5767·
 2008 01 6766·
 2007 12  58751·
 2007 11  32757.
 2007 10  77707·
 2007 09  45757.
 2007 08  45661·
 2007 07  19691·
 2007 06  42653.
 2007 05  50716.
 2007 04  92703.
 2007 03  4634.
 2007 02  14632.
 2007 01  65617·
 2006 12 72633.
 2006 11 92724.
 2006 10 29695.
 2006 09 60688.
 2006 08 88594·
 2006 07 16602·
 2006 06 51623·
 2006 05 27706·
 2006 04 63639·
 2006 03 32659.
 2006 02 67633·
 2006 01 87607·
 2005 12  49704.
 2005 11  22692·
 2005 10  91684·
 2005 09  84635·
 2005 08  21589.
 2005 07  92594·
 2005 06  61623·
 2005 05  86714.
 2005 04  79641.
 2005 03  75564·
 2005 02  39521.
 2005 01  88481·
 2004 12 49579·
 2004 11 26583.
 2004 10 13596·
 2004 09 10613.
 2004 08 80514.
 2004 07 28506.
 2004 06 96598·
 2004 05 94620.
 2004 04 50623·
 2004 03 87657·
 2004 02 26633.
 2004 01 10599.
 2003 12  57604.
 2003 11  35571.
 2003 10  66550·
 2003 09  53533·
 2003 08  27430·
 2003 07  28417.
 2003 06  4533·
 2003 05  41592·
 2003 04  11590·
 2003 03  48635.
 2003 02  53641·
 2003 01  20630.
 2002 12 83587.
 2002 11 1567.
 2002 10 50546.
 2002 09 56574.
 2002 08 46465·
 2002 07 20482·
 2002 06 59513.
 2002 05 46577.
 2002 04 23545·
 2002 03 61557·
 2002 02 67534·
 2002 01 8524.
 2001 12  65516.
 2001 11  5490·
 2001 10  87493.
 2001 09  86576·
 2001 08  48527.
 2001 07  59502.
 2001 06  57536.
 2001 05  50562.
 2001 04  71526·
 2001 03  56541·
 2001 02  40548.
 2001 01  93530.
 2000 12 61532·
 2000 11 50562·
 2000 10 25533.
 2000 09 35550·
 2000 08 68498·
 2000 07 25453·
 2000 06 23501·
 2000 05 19580.
 2000 04 67572.
 2000 03 87576·
 2000 02 73580.
 2000 01 16505·
 1999 12  58478·
 1999 11  67443·
 1999 10  37418·
 1999 09  19450·
 1999 08  67420.
 1999 07  22412·
 1999 06  4463.
 1999 05  46477·
 1999 04  45474.
 1999 03  33478.
 1999 02  86475·
 1999 01  44463·
 1998 12 66444·
 1998 11 8428·
 1998 10 21405.
 1998 09 79392.
 1998 08 31366.
 1998 07 78387·
 1998 06 73397.
 1998 05 48452·
 1998 04 66464·
 1998 03 0470.
 1998 02 28458.
 1998 01 68465.
 1997 12  21414.
 1997 11  55386·
 1997 10  1372·
 1997 09  84347·
 1997 08  71356·
 1997 07  49345.
 1997 06  28356.
 1997 05  65405.
 1997 04  16423·
 1997 03  15435.
 1997 02  73400·
 1997 01  5420·
 1996 12 83400.
 1996 11 10380.
 1996 10 24373·
 1996 09 24388·
 1996 08 21378.
 1996 07 14378·
 1996 06 93391·
 1996 05 65424·
 1996 04 5419·
 1996 03 34449·
 1996 02 18420·
 1996 01 98448.
 1995 12  37482·
 1995 11  3452.
 1995 10  63484.
 1995 09  17446.
 1995 08  42376·
 1995 07  76385.
 1995 06  15381.
 1995 05  40502.
 1995 04  70511.
 1995 03  36500·
 1995 02  87454·
 1995 01  13475.
 1994 12 95461·
 1994 11 89533.
 1994 10 17487·
 1994 09 3485.
 1994 08 20400·
 1994 07 66368.
 1994 06 68408·
 1994 05 6474.
 1994 04 69451·
 1994 03 25442.
 1994 02 27455.
 1994 01 41454.
 1993 12  92418.
 1993 11  46421·
 1993 10  8445.
 1993 09  51401·
 1993 08  66369.
 1993 07  37382.
 1993 06  49401·
 1993 05  6416·
 1993 04  89399·
 1993 03  30443.
 1993 02  12420.
 1993 01  0420·
 1992 12 88401.
 1992 11 80431.
 1992 10 85457·
 1992 09 52448·
 1992 08 14358.
 1992 07 69347.
 1992 06 82403·
 1992 05 6381·
 1992 04 41409.
 1992 03 5441·
 1992 02 39377.
 1992 01 31408·
 1991 12  70393.
 1991 11  19418.
 1991 10  21384·
 1991 09  22402·
 1991 08  26365.
 1991 07  67366·
 1991 06  14385.
 1991 05  98457.
 1991 04  59487.
 1991 03  31492·
 1991 02  32476.
 1991 01  2440.
 1990 12 46404.
 1990 11 17436·
 1990 10 13410·
 1990 09 4440·
 1990 08 87405·
 1990 07 58377.
 1990 06 19438·
 1990 05 98482·
 1990 04 6454.
 1990 03 10432.
 1990 02 38436·
 1990 01 3435·
 1989 12  54451·
 1989 11  55418.
 1989 10  84428·
 1989 09  64434.
 1989 08  7419.
 1989 07  99422.
 1989 06  94415.
 1989 05  49452.
 1989 04  65416.
 1989 03  73431·
 1989 02  32406·
 1989 01  52411·
 1988 12 53398.
 1988 11 35474·
 1988 10 84378.
 1988 09 93383·
 1988 08 22397.
 1988 07 67359·
 1988 06 64406·
 1988 05 17393·
 1988 04 48406.
 1988 03 74444.
 1988 02 9420·
 1988 01 91406.
 1987 12  30384.
 1987 11  89380·
 1987 10  84399.
 1987 09  10379.
 1987 08  93366·
 1987 07  67384.
 1987 06  75358.
 1987 05  94376.
 1987 04  90375.
 1987 03  92391·
 1987 02  95388·
 1987 01  86381·
 1986 12 94337.
 1986 11 69328·
 1986 10 83360·
 1986 09 55348·
 1986 08 6315.
 1986 07 30347·
 1986 06 1314·
 1986 05 97337.
 1986 04 51365·
 1986 03 31379.
 1986 02 37349.
 1986 01 29388·
 1985 12  81378.
 1985 11  55379.
 1985 10  4382·
 1985 09  96383·
 1985 08  70314.
 1985 07  8317·
 1985 06  40308.
 1985 05  67334.
 1985 04  18351·
 1985 03  21354·
 1985 02  7331·
 1985 01  37293·
 1984 12 52341.
 1984 11 52348.
 1984 10 94398·
 1984 09 24390.
 1984 08 21326·
 1984 07 81300.
 1984 06 14299·
 1984 05 72342·
 1984 04 1324·
 1984 03 16335.
 1984 02 5342·
 1984 01 52327.
 1983 12  92325·
 1983 11  88361.
 1983 10  28365·
 1983 09  56357·
 1983 08  20321·
 1983 07  54309.
 1983 06  73334.
 1983 05  4358.
 1983 04  35336.
 1983 03  95354·
 1983 02  52315·
 1983 01  40313·
 1982 12 13345.
 1982 11 19337·
 1982 10 3339·
 1982 09 33364·
 1982 08 53331.
 1982 07 56311·
 1982 06 89346.
 1982 05 78366·
 1982 04 81332.
 1982 03 63352·
 1982 02 97315.
 1982 01 93307.
 1981 12  48326.
 1981 11  22333.
 1981 10  42359·
 1981 09  23335.
 1981 08  29314·
 1981 07  40322.
 1981 06  59349·
 1981 05  37364.
 1981 04  25341·
 1981 03  49358·
 1981 02  14318·
 1981 01  29342.
 1980 12 60361·
 1980 11 4366.
 1980 10 92353·
 1980 09 18341·
 1980 08 85338·
 1980 07 88318.
 1980 06 8355.
 1980 05 48387.
 1980 04 76358·
 1980 03 6374.
 1980 02 99378·
 1980 01 89377·
 1979 12  33358·
 1979 11  92369.
 1979 10  28346.
 1979 09  34349·
 1979 08  81303·
 1979 07  1308·
 1979 06  83329.
 1979 05  2355.
 1979 04  71335·
 1979 03  16340.
 1979 02  77330·
 1979 01  39335·
 1978 12 78337.
 1978 11 42325·
 1978 10 47310·
 1978 09 12302·
 1978 08 3276·
 1978 07 11279·
 1978 06 58305·
 1978 05 17308.
 1978 04 70298·
 1978 03 80294·
 1978 02 95299.
 1978 01 72310.
 1977 12  31309.
 1977 11  32324.
 1977 10  73315.
 1977 09  21327·
 1977 08  60261·
 1977 07  71280.
 1977 06  29278·
 1977 05  34312.
 1977 04  59299·
 1977 03  30308.
 1977 02  26315.
 1977 01  4306.
 1976 12 52314·
 1976 11 66314.
 1976 10 53275.
 1976 09 51307·
 1976 08 90295.
 1976 07 61257.
 1976 06 21288.
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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: 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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