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 Series Title: Employment Level: Agriculture and Related Industries, Wage and Salary Workers, 16-19 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 457·
 2012 03 3158.
 2012 02 462·
 2012 01 1453.
 2011 12  7469.
 2011 11  065.
 2011 10  1356·
 2011 09  5888·
 2011 08  67126.
 2011 07  25126·
 2011 06  7887·
 2011 05  5762.
 2011 04  3245.
 2011 03  8561·
 2011 02  1340.
 2011 01  5650.
 2010 12 4748·
 2010 11 8956.
 2010 10 5657·
 2010 09 2269·
 2010 08 1086.
 2010 07 6789.
 2010 06 7072·
 2010 05 5165·
 2010 04 4753·
 2010 03 7640.
 2010 02 4346.
 2010 01 6241·
 2009 12  870.
 2009 11  9869.
 2009 10  8760·
 2009 09  9876.
 2009 08  7096.
 2009 07  40121·
 2009 06  4187·
 2009 05  2883·
 2009 04  3265·
 2009 03  3367·
 2009 02  6748.
 2009 01  4855·
 2008 12 1957·
 2008 11 3453·
 2008 10 5463·
 2008 09 7684.
 2008 08 83138·
 2008 07 25146.
 2008 06 14117·
 2008 05 5594.
 2008 04 9867·
 2008 03 1162·
 2008 02 8464.
 2008 01 5661·
 2007 12  6571·
 2007 11  2678.
 2007 10  29101·
 2007 09  7394.
 2007 08  1073·
 2007 07  2480·
 2007 06  3695·
 2007 05  2486.
 2007 04  8275·
 2007 03  8987·
 2007 02  1776.
 2007 01  5473.
 2006 12 5762·
 2006 11 2657·
 2006 10 1165·
 2006 09 3275.
 2006 08 35103·
 2006 07 68124·
 2006 06 81108·
 2006 05 5257.
 2006 04 4355·
 2006 03 7160.
 2006 02 1351.
 2006 01 3373.
 2005 12  2965.
 2005 11  1662·
 2005 10  2357.
 2005 09  1971·
 2005 08  7188.
 2005 07  1195.
 2005 06  4696·
 2005 05  8048.
 2005 04  6773.
 2005 03  8643·
 2005 02  4638.
 2005 01  943·
 2004 12 4369·
 2004 11 9983.
 2004 10 12101.
 2004 09 27105.
 2004 08 51108.
 2004 07 32110.
 2004 06 5592·
 2004 05 7559·
 2004 04 6553·
 2004 03 9039·
 2004 02 1462.
 2004 01 2567·
 2003 12  8556·
 2003 11  574·
 2003 10  5276·
 2003 09  7165·
 2003 08  3785.
 2003 07  3595·
 2003 06  56106·
 2003 05  3062.
 2003 04  7158·
 2003 03  6073·
 2003 02  4059.
 2003 01  4847·
 2002 12 6465.
 2002 11 8746·
 2002 10 4160·
 2002 09 9370.
 2002 08 1486.
 2002 07 49107.
 2002 06 22102.
 2002 05 6077.
 2002 04 4885·
 2002 03 194·
 2002 02 7173·
 2002 01 6865.
 2001 12  1674.
 2001 11  2673·
 2001 10  189.
 2001 09  6195.
 2001 08  93117·
 2001 07  30120·
 2001 06  5199.
 2001 05  883.
 2001 04  8092·
 2001 03  4452.
 2001 02  8145.
 2001 01  469·
 2000 12 263.
 2000 11 2591·
 2000 10 82106·
 2000 09 6699·
 2000 08 9106.
 2000 07 55103·
 2000 06 65109·
 2000 05 4181·
 2000 04 7783.
 2000 03 4170·
 2000 02 6995·
 2000 01 9693.
 1999 12  7147·
 1999 11  14165.
 1999 10  56138·
 1999 09  25153.
 1999 08  23204·
 1999 07  30219.
 1999 06  14220·
 1999 05  49186.
 1999 04  76138·
 1999 03  73121·
 1999 02  56126·
 1999 01  1189.
 1998 12 42110·
 1998 11 47119·
 1998 10 20212.
 1998 09 80198·
 1998 08 21244·
 1998 07 84264.
 1998 06 69243.
 1998 05 51172·
 1998 04 37133.
 1998 03 43126·
 1998 02 91110·
 1998 01 42104·
 1997 12  43125·
 1997 11  3128·
 1997 10  99118·
 1997 09  98135·
 1997 08  12195.
 1997 07  72225·
 1997 06  30206.
 1997 05  88205·
 1997 04  46172.
 1997 03  81140.
 1997 02  47123·
 1997 01  5134.
 1996 12 69151·
 1996 11 86105·
 1996 10 39141.
 1996 09 70166·
 1996 08 33216.
 1996 07 71276.
 1996 06 18262.
 1996 05 26240.
 1996 04 12178·
 1996 03 41129·
 1996 02 23134.
 1996 01 42113.
 1995 12  7108.
 1995 11  27127.
 1995 10  15132·
 1995 09  13145.
 1995 08  43212.
 1995 07  87266·
 1995 06  83265.
 1995 05  57164.
 1995 04  72119·
 1995 03  2122.
 1995 02  4095.
 1995 01  20110.
 1994 12 6795.
 1994 11 79116·
 1994 10 24144·
 1994 09 69142·
 1994 08 30190·
 1994 07 49210.
 1994 06 97165.
 1994 05 99131·
 1994 04 86111.
 1994 03 69128·
 1994 02 4895.
 1994 01 3074·
 1993 12  85108·
 1993 11  21103·
 1993 10  8989·
 1993 09  5158.
 1993 08  2200.
 1993 07  12218·
 1993 06  59227·
 1993 05  93194.
 1993 04  39135·
 1993 03  72102·
 1993 02  19111·
 1993 01  89100.
 1992 12 20136.
 1992 11 59152·
 1992 10 59134.
 1992 09 12138.
 1992 08 96229.
 1992 07 54251.
 1992 06 90215.
 1992 05 6122·
 1992 04 43117·
 1992 03 6391·
 1992 02 5271.
 1992 01 4074·
 1991 12  6085·
 1991 11  20113·
 1991 10  6122.
 1991 09  8137.
 1991 08  73252·
 1991 07  79292·
 1991 06  40250.
 1991 05  29181.
 1991 04  32146·
 1991 03  24120·
 1991 02  68104.
 1991 01  4896·
 1990 12 14122.
 1990 11 59137·
 1990 10 28177.
 1990 09 34177·
 1990 08 17250·
 1990 07 18294·
 1990 06 82249.
 1990 05 80173.
 1990 04 68134·
 1990 03 57140.
 1990 02 18110.
 1990 01 6126·
 1989 12  17133.
 1989 11  57103.
 1989 10  48139.
 1989 09  57126·
 1989 08  39281·
 1989 07  25289.
 1989 06  12243.
 1989 05  0151·
 1989 04  36153·
 1989 03  92107.
 1989 02  7292·
 1989 01  3174.
 1988 12 3193.
 1988 11 16126·
 1988 10 16171·
 1988 09 68191.
 1988 08 76234·
 1988 07 78291.
 1988 06 56285·
 1988 05 56171·
 1988 04 45173·
 1988 03 84127·
 1988 02 30116·
 1988 01 64108·
 1987 12  41118.
 1987 11  67109.
 1987 10  2148.
 1987 09  85159·
 1987 08  86216.
 1987 07  82275.
 1987 06  59261.
 1987 05  40194·
 1987 04  33183.
 1987 03  12127·
 1987 02  15116.
 1987 01  7299·
 1986 12 57100·
 1986 11 63118.
 1986 10 6130.
 1986 09 50175·
 1986 08 57246.
 1986 07 67275·
 1986 06 97289·
 1986 05 68191.
 1986 04 60178·
 1986 03 80119·
 1986 02 7487·
 1986 01 4788.
 1985 12  15118·
 1985 11  84138·
 1985 10  51135·
 1985 09  29172.
 1985 08  98269.
 1985 07  86336.
 1985 06  66304.
 1985 05  83246.
 1985 04  10207.
 1985 03  17174·
 1985 02  81130·
 1985 01  5122.
 1984 12 75128.
 1984 11 34169·
 1984 10 85146.
 1984 09 13197.
 1984 08 45251.
 1984 07 19316·
 1984 06 89288.
 1984 05 51213·
 1984 04 95175·
 1984 03 78134·
 1984 02 33127·
 1984 01 89116·
 1983 12  24117.
 1983 11  43113·
 1983 10  80142.
 1983 09  20186·
 1983 08  59333·
 1983 07  71356.
 1983 06  16321·
 1983 05  64208.
 1983 04  50183.
 1983 03  42128·
 1983 02  55124.
 1983 01  65136.
 1982 12 71143·
 1982 11 65199·
 1982 10 34232.
 1982 09 92229.
 1982 08 25390·
 1982 07 70374.
 1982 06 18318.
 1982 05 39239.
 1982 04 35164.
 1982 03 14146.
 1982 02 93125·
 1982 01 26121·
 1981 12  53129·
 1981 11  78161·
 1981 10  72231·
 1981 09  95240.
 1981 08  53353·
 1981 07  71378·
 1981 06  94335·
 1981 05  18234·
 1981 04  37242·
 1981 03  22155.
 1981 02  21124·
 1981 01  87146·
 1980 12 29161·
 1980 11 88192.
 1980 10 41221·
 1980 09 22252·
 1980 08 80315.
 1980 07 52384·
 1980 06 67329·
 1980 05 67191·
 1980 04 65175.
 1980 03 21155.
 1980 02 36110·
 1980 01 91121.
 1979 12  85139·
 1979 11  24152·
 1979 10  13204·
 1979 09  88216.
 1979 08  66296·
 1979 07  20337·
 1979 06  84317.
 1979 05  78223.
 1979 04  56187.
 1979 03  90155.
 1979 02  63144·
 1979 01  4122·
 1978 12 33137.
 1978 11 40181·
 1978 10 87243.
 1978 09 36258.
 1978 08 95400.
 1978 07 2392·
 1978 06 20368.
 1978 05 68225·
 1978 04 70206·
 1978 03 33181·
 1978 02 49127.
 1978 01 18151.
 1977 12  6176.
 1977 11  15228·
 1977 10  87230·
 1977 09  32246.
 1977 08  80352.
 1977 07  53377·
 1977 06  72323.
 1977 05  79230.
 1977 04  92218.
 1977 03  80185.
 1977 02  66161·
 1977 01  51148·
 1976 12 67178.
 1976 11 53208·
 1976 10 59236.
 1976 09 69268.
 1976 08 55403·
 1976 07 53387·
 1976 06 62336·
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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.
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      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, 16-19 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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