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 Series Title: Employment Level: Agriculture and Related Industries, Wage and Salary Workers, 16-17 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 8936·
 2012 03 7436.
 2012 02 9928.
 2012 01 5313·
 2011 12  5234·
 2011 11  1136.
 2011 10  4934.
 2011 09  1548.
 2011 08  3756.
 2011 07  254·
 2011 06  5636.
 2011 05  3117.
 2011 04  9523·
 2011 03  3034.
 2011 02  3414·
 2011 01  4719·
 2010 12 115·
 2010 11 022·
 2010 10 1923·
 2010 09 3023·
 2010 08 5637·
 2010 07 4635·
 2010 06 7531.
 2010 05 7629.
 2010 04 8624.
 2010 03 2215.
 2010 02 9022.
 2010 01 418.
 2009 12  3936.
 2009 11  1226.
 2009 10  7721·
 2009 09  5729.
 2009 08  9353·
 2009 07  2152·
 2009 06  7350.
 2009 05  548.
 2009 04  4723.
 2009 03  8119·
 2009 02  4114.
 2009 01  4214·
 2008 12 2722·
 2008 11 4925.
 2008 10 7023·
 2008 09 8746·
 2008 08 8369·
 2008 07 782·
 2008 06 7269·
 2008 05 8447·
 2008 04 9021.
 2008 03 6123.
 2008 02 8525.
 2008 01 234·
 2007 12  5038.
 2007 11  4235·
 2007 10  7247.
 2007 09  3645.
 2007 08  8647·
 2007 07  855·
 2007 06  2150.
 2007 05  443.
 2007 04  5032.
 2007 03  4040.
 2007 02  4430·
 2007 01  5128.
 2006 12 1831·
 2006 11 4529·
 2006 10 8026.
 2006 09 4627·
 2006 08 8849.
 2006 07 5470·
 2006 06 9270·
 2006 05 8327.
 2006 04 8833.
 2006 03 2345.
 2006 02 6731.
 2006 01 8240.
 2005 12  6728·
 2005 11  3636.
 2005 10  1924.
 2005 09  8531·
 2005 08  036·
 2005 07  9842.
 2005 06  8463·
 2005 05  6322.
 2005 04  8940.
 2005 03  4022.
 2005 02  2721·
 2005 01  1022.
 2004 12 5723·
 2004 11 2131·
 2004 10 3435·
 2004 09 4439.
 2004 08 5745·
 2004 07 2047·
 2004 06 2043.
 2004 05 1030·
 2004 04 6334·
 2004 03 4522.
 2004 02 2119·
 2004 01 7723.
 2003 12  7518.
 2003 11  2834.
 2003 10  136·
 2003 09  3922·
 2003 08  1943.
 2003 07  2544.
 2003 06  4747·
 2003 05  1629·
 2003 04  4627·
 2003 03  1729·
 2003 02  7321.
 2003 01  5123.
 2002 12 3135·
 2002 11 1221·
 2002 10 1629.
 2002 09 1418·
 2002 08 7333·
 2002 07 4143·
 2002 06 4052·
 2002 05 9845·
 2002 04 9953·
 2002 03 6046.
 2002 02 3130.
 2002 01 2321.
 2001 12  5934·
 2001 11  5237.
 2001 10  443·
 2001 09  3352·
 2001 08  2966.
 2001 07  2367.
 2001 06  9555.
 2001 05  9732.
 2001 04  830·
 2001 03  429·
 2001 02  6820.
 2001 01  1025·
 2000 12 2222·
 2000 11 5327·
 2000 10 1139·
 2000 09 9046.
 2000 08 2146·
 2000 07 5057·
 2000 06 3650.
 2000 05 8129·
 2000 04 8240.
 2000 03 331·
 2000 02 8237.
 2000 01 5444·
 1999 12  464.
 1999 11  4374·
 1999 10  1173.
 1999 09  163.
 1999 08  1295·
 1999 07  27112.
 1999 06  11113·
 1999 05  4272.
 1999 04  5745.
 1999 03  3642·
 1999 02  9540.
 1999 01  2136·
 1998 12 1552·
 1998 11 7745.
 1998 10 284.
 1998 09 778·
 1998 08 86116·
 1998 07 82138·
 1998 06 93137.
 1998 05 9583·
 1998 04 9566·
 1998 03 862.
 1998 02 5760.
 1998 01 364.
 1997 12  9255·
 1997 11  3561·
 1997 10  749.
 1997 09  7658·
 1997 08  5494.
 1997 07  71105·
 1997 06  8097·
 1997 05  8379.
 1997 04  8074·
 1997 03  4757.
 1997 02  4058.
 1997 01  1852.
 1996 12 9575·
 1996 11 2043·
 1996 10 7463.
 1996 09 072·
 1996 08 51118·
 1996 07 72146·
 1996 06 96131.
 1996 05 73102·
 1996 04 2374.
 1996 03 958.
 1996 02 4266.
 1996 01 650·
 1995 12  1055.
 1995 11  6255·
 1995 10  7758·
 1995 09  9458·
 1995 08  39104·
 1995 07  90117.
 1995 06  87109·
 1995 05  5662.
 1995 04  5955·
 1995 03  7263·
 1995 02  8638.
 1995 01  3649.
 1994 12 4642.
 1994 11 1655.
 1994 10 1266·
 1994 09 258.
 1994 08 178·
 1994 07 53109.
 1994 06 2893·
 1994 05 4966·
 1994 04 4966.
 1994 03 4163·
 1994 02 2136.
 1994 01 9728.
 1993 12  4143·
 1993 11  6031·
 1993 10  439·
 1993 09  8970.
 1993 08  51108·
 1993 07  17114.
 1993 06  16116.
 1993 05  9584.
 1993 04  8056.
 1993 03  4549·
 1993 02  1845.
 1993 01  846·
 1992 12 5351·
 1992 11 9961.
 1992 10 048·
 1992 09 4870.
 1992 08 21115·
 1992 07 61125.
 1992 06 74109.
 1992 05 5949.
 1992 04 6049·
 1992 03 3844.
 1992 02 7730·
 1992 01 1034.
 1991 12  6930·
 1991 11  6137.
 1991 10  7358.
 1991 09  9648.
 1991 08  7498.
 1991 07  88149·
 1991 06  50152·
 1991 05  3477·
 1991 04  2656·
 1991 03  041·
 1991 02  2138·
 1991 01  7028·
 1990 12 9952·
 1990 11 364·
 1990 10 2288·
 1990 09 7380·
 1990 08 95124·
 1990 07 29152·
 1990 06 18111·
 1990 05 3767·
 1990 04 3855·
 1990 03 3453·
 1990 02 9645·
 1990 01 8052·
 1989 12  7956·
 1989 11  249·
 1989 10  6961.
 1989 09  4757·
 1989 08  94175·
 1989 07  37165·
 1989 06  75134.
 1989 05  868.
 1989 04  8269·
 1989 03  7155·
 1989 02  7747·
 1989 01  5636.
 1988 12 7040·
 1988 11 6252·
 1988 10 6369.
 1988 09 1175·
 1988 08 7104·
 1988 07 91157.
 1988 06 45135.
 1988 05 1674.
 1988 04 6965.
 1988 03 6545·
 1988 02 6241.
 1988 01 4146.
 1987 12  5658·
 1987 11  1555·
 1987 10  7665·
 1987 09  7982·
 1987 08  94127·
 1987 07  97161.
 1987 06  76150.
 1987 05  5180·
 1987 04  3388·
 1987 03  9452.
 1987 02  7350.
 1987 01  040.
 1986 12 4949.
 1986 11 1249·
 1986 10 755.
 1986 09 9583·
 1986 08 41120.
 1986 07 83147.
 1986 06 40144·
 1986 05 3190.
 1986 04 3678.
 1986 03 6450.
 1986 02 5942·
 1986 01 2642.
 1985 12  8338·
 1985 11  3557·
 1985 10  7839.
 1985 09  2666.
 1985 08  59134.
 1985 07  4180·
 1985 06  35147.
 1985 05  98109.
 1985 04  63101·
 1985 03  373·
 1985 02  9261·
 1985 01  3745.
 1984 12 2044.
 1984 11 8770·
 1984 10 3850·
 1984 09 6288.
 1984 08 82127.
 1984 07 39163·
 1984 06 85137.
 1984 05 1789.
 1984 04 2464.
 1984 03 6548.
 1984 02 7249·
 1984 01 7249·
 1983 12  4644.
 1983 11  9741.
 1983 10  6064·
 1983 09  2162·
 1983 08  73165·
 1983 07  92172·
 1983 06  38152.
 1983 05  8284.
 1983 04  5667·
 1983 03  3142.
 1983 02  1944·
 1983 01  054·
 1982 12 7065·
 1982 11 2074·
 1982 10 4176·
 1982 09 4484·
 1982 08 15185.
 1982 07 93196·
 1982 06 67159·
 1982 05 8114.
 1982 04 1869·
 1982 03 461.
 1982 02 8455·
 1982 01 1247.
 1981 12  2845·
 1981 11  3671·
 1981 10  6104.
 1981 09  99107·
 1981 08  20181.
 1981 07  95211·
 1981 06  69160.
 1981 05  38115·
 1981 04  96114.
 1981 03  1364·
 1981 02  3857·
 1981 01  2562.
 1980 12 8069·
 1980 11 4780·
 1980 10 197.
 1980 09 77122·
 1980 08 24183·
 1980 07 78237.
 1980 06 69188·
 1980 05 39101.
 1980 04 185.
 1980 03 1464·
 1980 02 8153·
 1980 01 8051.
 1979 12  1365·
 1979 11  8475·
 1979 10  0115·
 1979 09  94127.
 1979 08  86180.
 1979 07  47187.
 1979 06  13165.
 1979 05  1123·
 1979 04  68103·
 1979 03  8488.
 1979 02  3482.
 1979 01  4556·
 1978 12 3765.
 1978 11 293·
 1978 10 0128·
 1978 09 94140·
 1978 08 92244·
 1978 07 31246·
 1978 06 75199·
 1978 05 43102.
 1978 04 59105.
 1978 03 2985.
 1978 02 4654.
 1978 01 1152·
 1977 12  8776·
 1977 11  78114.
 1977 10  26114·
 1977 09  4293·
 1977 08  53180.
 1977 07  84217.
 1977 06  53179.
 1977 05  5129.
 1977 04  57110.
 1977 03  7882·
 1977 02  9076.
 1977 01  9578·
 1976 12 2483·
 1976 11 18108·
 1976 10 25116·
 1976 09 30121·
 1976 08 5250.
 1976 07 85255.
 1976 06 71190.
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Similar Series

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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, 16-17 years, 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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