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 Series Title: Employment Level: Agriculture and Related Industries, Wage and Salary Workers, 25-34 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 59247·
 2012 03 24251·
 2012 02 25272·
 2012 01 71270·
 2011 12  96337.
 2011 11  33322.
 2011 10  21252.
 2011 09  27284·
 2011 08  98322.
 2011 07  40337·
 2011 06  18321·
 2011 05  81315·
 2011 04  17271.
 2011 03  28290·
 2011 02  28281.
 2011 01  78303·
 2010 12 29286.
 2010 11 2310·
 2010 10 91304.
 2010 09 87283·
 2010 08 33294·
 2010 07 94316·
 2010 06 68335.
 2010 05 2331·
 2010 04 54331.
 2010 03 62313.
 2010 02 47269.
 2010 01 43248.
 2009 12  44234.
 2009 11  86281.
 2009 10  41252.
 2009 09  52218·
 2009 08  78249.
 2009 07  73248.
 2009 06  89283·
 2009 05  1272·
 2009 04  56237·
 2009 03  56201·
 2009 02  53242.
 2009 01  81222·
 2008 12 3239.
 2008 11 90256.
 2008 10 22302·
 2008 09 14325.
 2008 08 70256·
 2008 07 57241.
 2008 06 7241.
 2008 05 43198.
 2008 04 33207·
 2008 03 64192·
 2008 02 46213.
 2008 01 36229.
 2007 12  91287·
 2007 11  43271.
 2007 10  4276.
 2007 09  89276·
 2007 08  70241·
 2007 07  50286·
 2007 06  67262·
 2007 05  20229.
 2007 04  20205.
 2007 03  66218.
 2007 02  49270·
 2007 01  74234·
 2006 12 17255.
 2006 11 99250.
 2006 10 87253.
 2006 09 19256·
 2006 08 62307·
 2006 07 80339.
 2006 06 44342.
 2006 05 50280.
 2006 04 79251·
 2006 03 66240.
 2006 02 8228·
 2006 01 86197.
 2005 12  19195·
 2005 11  39209.
 2005 10  93214.
 2005 09  71223·
 2005 08  57248·
 2005 07  4316.
 2005 06  35305·
 2005 05  75291·
 2005 04  94255.
 2005 03  94253.
 2005 02  98207.
 2005 01  90202.
 2004 12 56205.
 2004 11 65225·
 2004 10 70262.
 2004 09 37355·
 2004 08 92353.
 2004 07 99280·
 2004 06 64279·
 2004 05 60247·
 2004 04 77272·
 2004 03 2252·
 2004 02 17235.
 2004 01 27240.
 2003 12  14267·
 2003 11  7305·
 2003 10  93398.
 2003 09  34397.
 2003 08  25350·
 2003 07  70299.
 2003 06  78293.
 2003 05  98263·
 2003 04  63249·
 2003 03  72226·
 2003 02  87213.
 2003 01  65267.
 2002 12 3244.
 2002 11 20214·
 2002 10 57266·
 2002 09 3294.
 2002 08 44259.
 2002 07 46314.
 2002 06 51292.
 2002 05 6245·
 2002 04 13282·
 2002 03 7217.
 2002 02 57244·
 2002 01 94248·
 2001 12  59232.
 2001 11  83230·
 2001 10  88279.
 2001 09  10311.
 2001 08  58323·
 2001 07  82310·
 2001 06  81298·
 2001 05  25322.
 2001 04  11262·
 2001 03  36298·
 2001 02  99231·
 2001 01  32206.
 2000 12 43224.
 2000 11 0242·
 2000 10 32261·
 2000 09 49328·
 2000 08 3377.
 2000 07 57383.
 2000 06 90397.
 2000 05 22351.
 2000 04 69334·
 2000 03 14314·
 2000 02 13327.
 2000 01 20345.
 1999 12  39412·
 1999 11  1461.
 1999 10  62470·
 1999 09  36520·
 1999 08  40530.
 1999 07  75553.
 1999 06  27584·
 1999 05  90503.
 1999 04  22453.
 1999 03  19393.
 1999 02  19365.
 1999 01  25463·
 1998 12 60464·
 1998 11 39513.
 1998 10 78619.
 1998 09 12555·
 1998 08 54550·
 1998 07 66574.
 1998 06 65549.
 1998 05 44559.
 1998 04 30586·
 1998 03 58497.
 1998 02 68452·
 1998 01 40459.
 1997 12  39453·
 1997 11  95499.
 1997 10  1528.
 1997 09  45526.
 1997 08  56478.
 1997 07  84549·
 1997 06  1592·
 1997 05  27566·
 1997 04  80512.
 1997 03  57440·
 1997 02  31410.
 1997 01  80397·
 1996 12 38441.
 1996 11 71516·
 1996 10 80511.
 1996 09 25507.
 1996 08 80510.
 1996 07 8535.
 1996 06 59565·
 1996 05 5575·
 1996 04 82513·
 1996 03 73508·
 1996 02 8472·
 1996 01 89483·
 1995 12  43444.
 1995 11  99449.
 1995 10  88516·
 1995 09  71515.
 1995 08  89548.
 1995 07  42555.
 1995 06  88583.
 1995 05  70540.
 1995 04  71528.
 1995 03  84508.
 1995 02  20469.
 1995 01  31467.
 1994 12 63502·
 1994 11 31538·
 1994 10 23530·
 1994 09 23546·
 1994 08 67565·
 1994 07 16548.
 1994 06 59554·
 1994 05 39548.
 1994 04 7524.
 1994 03 94476·
 1994 02 16463·
 1994 01 0447·
 1993 12  35535.
 1993 11  48580·
 1993 10  8551·
 1993 09  49559.
 1993 08  25537·
 1993 07  84559·
 1993 06  71513.
 1993 05  55461.
 1993 04  77498·
 1993 03  33466.
 1993 02  69427.
 1993 01  12475·
 1992 12 18517·
 1992 11 53514.
 1992 10 90561·
 1992 09 40586·
 1992 08 98586·
 1992 07 25589·
 1992 06 47599·
 1992 05 82547·
 1992 04 91515·
 1992 03 55491·
 1992 02 78466·
 1992 01 9432.
 1991 12  99473·
 1991 11  76548·
 1991 10  44602.
 1991 09  13623.
 1991 08  47587.
 1991 07  44553·
 1991 06  36566·
 1991 05  14566·
 1991 04  85499·
 1991 03  40418·
 1991 02  64458·
 1991 01  57482.
 1990 12 88500.
 1990 11 71496.
 1990 10 67545.
 1990 09 10531·
 1990 08 57540·
 1990 07 70600·
 1990 06 9623·
 1990 05 68577.
 1990 04 18491·
 1990 03 91490·
 1990 02 76495.
 1990 01 49490.
 1989 12  21500.
 1989 11  18514·
 1989 10  83530·
 1989 09  98540.
 1989 08  40550.
 1989 07  57548.
 1989 06  66488·
 1989 05  84529·
 1989 04  77502·
 1989 03  39480·
 1989 02  88488.
 1989 01  1492.
 1988 12 57521.
 1988 11 21482.
 1988 10 38497·
 1988 09 68517·
 1988 08 30511.
 1988 07 84541.
 1988 06 29519·
 1988 05 30491·
 1988 04 72521·
 1988 03 36441.
 1988 02 97448.
 1988 01 55428·
 1987 12  83446.
 1987 11  8486·
 1987 10  7564.
 1987 09  38527·
 1987 08  89520.
 1987 07  56573.
 1987 06  46575.
 1987 05  97574·
 1987 04  39474·
 1987 03  63435.
 1987 02  26444·
 1987 01  78425.
 1986 12 10483.
 1986 11 35483·
 1986 10 87438.
 1986 09 48457.
 1986 08 1484.
 1986 07 3514·
 1986 06 90490.
 1986 05 3443·
 1986 04 38428.
 1986 03 24431.
 1986 02 24405.
 1986 01 61425·
 1985 12  72397.
 1985 11  80402.
 1985 10  1430.
 1985 09  67440·
 1985 08  77462.
 1985 07  78482.
 1985 06  60466.
 1985 05  89496.
 1985 04  55457.
 1985 03  48363·
 1985 02  63387.
 1985 01  22332.
 1984 12 30413.
 1984 11 49408·
 1984 10 98436·
 1984 09 85500.
 1984 08 53486.
 1984 07 60504.
 1984 06 78502.
 1984 05 22458.
 1984 04 0434.
 1984 03 90358.
 1984 02 41355·
 1984 01 2348.
 1983 12  70372.
 1983 11  69411·
 1983 10  50430.
 1983 09  20463.
 1983 08  90534.
 1983 07  55521·
 1983 06  93520.
 1983 05  94494·
 1983 04  9407·
 1983 03  28370.
 1983 02  82388.
 1983 01  69390·
 1982 12 3374·
 1982 11 96383.
 1982 10 56425·
 1982 09 13419·
 1982 08 72451·
 1982 07 91457.
 1982 06 77418·
 1982 05 21435.
 1982 04 42367.
 1982 03 68352.
 1982 02 34343.
 1982 01 13286·
 1981 12  63296·
 1981 11  9337·
 1981 10  38399.
 1981 09  31393·
 1981 08  11379·
 1981 07  22382·
 1981 06  29411·
 1981 05  46385·
 1981 04  86373·
 1981 03  37329.
 1981 02  69282·
 1981 01  51325.
 1980 12 12324·
 1980 11 12323·
 1980 10 45338.
 1980 09 66377·
 1980 08 42354·
 1980 07 28354·
 1980 06 72366.
 1980 05 35352·
 1980 04 49320·
 1980 03 92317.
 1980 02 85327·
 1980 01 26308.
 1979 12  35342·
 1979 11  35365.
 1979 10  50402.
 1979 09  35377·
 1979 08  25379·
 1979 07  14394.
 1979 06  53374.
 1979 05  79342.
 1979 04  69328.
 1979 03  10301.
 1979 02  7303.
 1979 01  4289.
 1978 12 43317·
 1978 11 31324·
 1978 10 50331·
 1978 09 79352·
 1978 08 46318.
 1978 07 8367·
 1978 06 45359·
 1978 05 97328.
 1978 04 6329.
 1978 03 97312.
 1978 02 81286.
 1978 01 78256·
 1977 12  70265·
 1977 11  80257.
 1977 10  69297.
 1977 09  65322.
 1977 08  16335.
 1977 07  64306·
 1977 06  48299·
 1977 05  29259·
 1977 04  44232.
 1977 03  81217·
 1977 02  81232·
 1977 01  63228.
 1976 12 79250·
 1976 11 87273·
 1976 10 55309.
 1976 09 86322·
 1976 08 71318·
 1976 07 63337.
 1976 06 83299·
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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: Agriculture and Related Industries, Wage and Salary Workers, 25-34 years: 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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