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 Series Title: Employment Level: Agriculture and Related Industries, Wage and Salary Workers, 20-24 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 25163.
 2012 03 63135.
 2012 02 30128·
 2012 01 41142·
 2011 12  36141·
 2011 11  55127.
 2011 10  42149.
 2011 09  71161·
 2011 08  95202·
 2011 07  26203·
 2011 06  36221.
 2011 05  80177·
 2011 04  52118.
 2011 03  59129.
 2011 02  24126.
 2011 01  13143.
 2010 12 82127.
 2010 11 60160·
 2010 10 46181·
 2010 09 39156.
 2010 08 86172·
 2010 07 60209.
 2010 06 64166.
 2010 05 53180.
 2010 04 89137.
 2010 03 17147·
 2010 02 65141.
 2010 01 73141·
 2009 12  41108.
 2009 11  1197.
 2009 10  63119.
 2009 09  44141·
 2009 08  19155.
 2009 07  51142.
 2009 06  95138·
 2009 05  34106·
 2009 04  22119·
 2009 03  66130.
 2009 02  25132.
 2009 01  38134.
 2008 12 7698.
 2008 11 14114·
 2008 10 40134.
 2008 09 76155·
 2008 08 30163·
 2008 07 77165.
 2008 06 53181·
 2008 05 90167.
 2008 04 62139.
 2008 03 61148·
 2008 02 3115·
 2008 01 5197·
 2007 12  70101·
 2007 11  97100·
 2007 10  51120.
 2007 09  53174·
 2007 08  80155·
 2007 07  43181·
 2007 06  86172·
 2007 05  14129·
 2007 04  43110.
 2007 03  80100.
 2007 02  21134·
 2007 01  78130.
 2006 12 3499.
 2006 11 15105.
 2006 10 93125.
 2006 09 16168·
 2006 08 54201.
 2006 07 79215·
 2006 06 66174·
 2006 05 21149·
 2006 04 27142.
 2006 03 29139.
 2006 02 28133·
 2006 01 11132.
 2005 12  5119.
 2005 11  46131.
 2005 10  90161·
 2005 09  32175.
 2005 08  62202·
 2005 07  38171.
 2005 06  92143.
 2005 05  53118·
 2005 04  99107·
 2005 03  36118.
 2005 02  9694·
 2005 01  67104.
 2004 12 4293·
 2004 11 96122·
 2004 10 90126·
 2004 09 94106·
 2004 08 40131.
 2004 07 1153·
 2004 06 87146.
 2004 05 78161.
 2004 04 70129.
 2004 03 56107.
 2004 02 2591.
 2004 01 87107·
 2003 12  3187.
 2003 11  94134.
 2003 10  66135·
 2003 09  17190·
 2003 08  49171·
 2003 07  71170.
 2003 06  98155·
 2003 05  86151·
 2003 04  75104.
 2003 03  68110·
 2003 02  36109.
 2003 01  39117·
 2002 12 83133·
 2002 11 93134.
 2002 10 15199.
 2002 09 44177·
 2002 08 75180.
 2002 07 77185·
 2002 06 0145·
 2002 05 96126.
 2002 04 75133·
 2002 03 77143·
 2002 02 78122·
 2002 01 14140·
 2001 12  33127·
 2001 11  73114·
 2001 10  61114·
 2001 09  41148·
 2001 08  27172·
 2001 07  74136.
 2001 06  89153.
 2001 05  48162·
 2001 04  54116·
 2001 03  11105·
 2001 02  2394.
 2001 01  28148.
 2000 12 42152.
 2000 11 39141·
 2000 10 52145·
 2000 09 1168·
 2000 08 41181·
 2000 07 42181.
 2000 06 89184.
 2000 05 10141.
 2000 04 25118.
 2000 03 25121·
 2000 02 71151.
 2000 01 25154.
 1999 12  96256·
 1999 11  20306.
 1999 10  62303.
 1999 09  39320.
 1999 08  78328·
 1999 07  84361.
 1999 06  48340.
 1999 05  73325·
 1999 04  22326.
 1999 03  98261.
 1999 02  44232.
 1999 01  70257.
 1998 12 4233.
 1998 11 69294.
 1998 10 87374·
 1998 09 99375·
 1998 08 23358·
 1998 07 29326.
 1998 06 39282.
 1998 05 54305·
 1998 04 6317.
 1998 03 35267.
 1998 02 90260·
 1998 01 55208·
 1997 12  2224.
 1997 11  67251·
 1997 10  51261.
 1997 09  45296·
 1997 08  88274.
 1997 07  33352.
 1997 06  60372.
 1997 05  95318·
 1997 04  62315.
 1997 03  65286·
 1997 02  82249.
 1997 01  97284·
 1996 12 52248.
 1996 11 18241.
 1996 10 2240·
 1996 09 72263·
 1996 08 6296·
 1996 07 75300·
 1996 06 35315.
 1996 05 62279·
 1996 04 2204·
 1996 03 41217.
 1996 02 18189·
 1996 01 38191·
 1995 12  38216.
 1995 11  50260·
 1995 10  13264·
 1995 09  94279·
 1995 08  40325.
 1995 07  57345·
 1995 06  10340.
 1995 05  48284·
 1995 04  60337.
 1995 03  45277.
 1995 02  21242.
 1995 01  45182·
 1994 12 71216.
 1994 11 19250·
 1994 10 83267·
 1994 09 54278·
 1994 08 75311.
 1994 07 11305.
 1994 06 60363·
 1994 05 70325·
 1994 04 96244.
 1994 03 79214·
 1994 02 39176·
 1994 01 10188.
 1993 12  87263·
 1993 11  3272.
 1993 10  34276·
 1993 09  20299.
 1993 08  20248.
 1993 07  91331.
 1993 06  82353.
 1993 05  68269·
 1993 04  98240.
 1993 03  73219·
 1993 02  46204.
 1993 01  49237·
 1992 12 45283.
 1992 11 7254·
 1992 10 14304.
 1992 09 81282.
 1992 08 12324·
 1992 07 74315.
 1992 06 99339.
 1992 05 10310.
 1992 04 75289·
 1992 03 81260.
 1992 02 39223.
 1992 01 3212.
 1991 12  33242.
 1991 11  60252·
 1991 10  96271.
 1991 09  56273·
 1991 08  12333·
 1991 07  67348.
 1991 06  59341.
 1991 05  87339.
 1991 04  62263.
 1991 03  84277·
 1991 02  41228.
 1991 01  41222.
 1990 12 60287.
 1990 11 17305.
 1990 10 79366·
 1990 09 86391.
 1990 08 4379·
 1990 07 98359.
 1990 06 36337·
 1990 05 18313.
 1990 04 21284·
 1990 03 84253·
 1990 02 1218.
 1990 01 54222.
 1989 12  61224.
 1989 11  56263.
 1989 10  85289·
 1989 09  39293.
 1989 08  0369·
 1989 07  21388.
 1989 06  27349.
 1989 05  42300·
 1989 04  37291.
 1989 03  11272·
 1989 02  91259·
 1989 01  57255.
 1988 12 98283.
 1988 11 82265·
 1988 10 63263·
 1988 09 4266·
 1988 08 34333·
 1988 07 16309·
 1988 06 56342.
 1988 05 27317·
 1988 04 20295·
 1988 03 20261·
 1988 02 9252.
 1988 01 95248.
 1987 12  56230·
 1987 11  24253.
 1987 10  85280·
 1987 09  1302.
 1987 08  68318·
 1987 07  87357.
 1987 06  71346·
 1987 05  65383·
 1987 04  5325·
 1987 03  89331.
 1987 02  79274·
 1987 01  32247.
 1986 12 45253.
 1986 11 37289.
 1986 10 49315.
 1986 09 70312.
 1986 08 86349.
 1986 07 63357·
 1986 06 43358·
 1986 05 73338·
 1986 04 55315·
 1986 03 24275·
 1986 02 49237.
 1986 01 61266·
 1985 12  1285·
 1985 11  0289·
 1985 10  80283·
 1985 09  78305.
 1985 08  0333·
 1985 07  99341.
 1985 06  73343.
 1985 05  92328.
 1985 04  53345·
 1985 03  53233.
 1985 02  92230·
 1985 01  99240.
 1984 12 85245.
 1984 11 17254.
 1984 10 24302.
 1984 09 17298·
 1984 08 46318.
 1984 07 74374·
 1984 06 82356·
 1984 05 90365·
 1984 04 11332.
 1984 03 31254.
 1984 02 5221·
 1984 01 87203·
 1983 12  81237·
 1983 11  18271.
 1983 10  54328·
 1983 09  3374·
 1983 08  82411.
 1983 07  93435.
 1983 06  19413·
 1983 05  57363.
 1983 04  64301.
 1983 03  37275·
 1983 02  12283·
 1983 01  93282·
 1982 12 2284.
 1982 11 56314·
 1982 10 70345·
 1982 09 79387·
 1982 08 96383.
 1982 07 83381·
 1982 06 57378·
 1982 05 11313·
 1982 04 73266·
 1982 03 75238.
 1982 02 60213.
 1982 01 7214.
 1981 12  81250·
 1981 11  12305.
 1981 10  93343.
 1981 09  12358·
 1981 08  98409.
 1981 07  1425·
 1981 06  93374.
 1981 05  94334.
 1981 04  22259.
 1981 03  74221.
 1981 02  24216·
 1981 01  48253·
 1980 12 81246.
 1980 11 89304.
 1980 10 72301·
 1980 09 92321.
 1980 08 23299·
 1980 07 25338.
 1980 06 52339·
 1980 05 72303·
 1980 04 24249·
 1980 03 90249.
 1980 02 0210·
 1980 01 56243·
 1979 12  85258.
 1979 11  16302·
 1979 10  80283·
 1979 09  38322.
 1979 08  31354.
 1979 07  59356·
 1979 06  80326·
 1979 05  37310.
 1979 04  13277·
 1979 03  1222·
 1979 02  12212.
 1979 01  98194.
 1978 12 5226·
 1978 11 48283.
 1978 10 15314·
 1978 09 90299·
 1978 08 9367.
 1978 07 33326·
 1978 06 51318·
 1978 05 7303.
 1978 04 49262·
 1978 03 11203.
 1978 02 8187·
 1978 01 67211·
 1977 12  77206.
 1977 11  65257·
 1977 10  0313.
 1977 09  16307·
 1977 08  67342·
 1977 07  1313.
 1977 06  63342·
 1977 05  22280.
 1977 04  19262.
 1977 03  50231·
 1977 02  62198·
 1977 01  79186.
 1976 12 60214·
 1976 11 70238·
 1976 10 83264.
 1976 09 7287.
 1976 08 40307.
 1976 07 42328·
 1976 06 39320.
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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, 20-24 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

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

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