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 Series Title: Employment Level: Agriculture and Related Industries, Wage and Salary Workers, 16-19 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 486.
 2012 03 3577·
 2012 02 1977.
 2012 01 7763.
 2011 12  5480.
 2011 11  9975.
 2011 10  6061·
 2011 09  1996·
 2011 08  34139.
 2011 07  23144.
 2011 06  65110·
 2011 05  2191·
 2011 04  9275.
 2011 03  9189.
 2011 02  4655·
 2011 01  3068·
 2010 12 564·
 2010 11 773.
 2010 10 4185.
 2010 09 1293.
 2010 08 73102.
 2010 07 4110·
 2010 06 1488·
 2010 05 6376.
 2010 04 2269.
 2010 03 3952·
 2010 02 5154·
 2010 01 255·
 2009 12  184.
 2009 11  9384.
 2009 10  6679·
 2009 09  73105.
 2009 08  87123.
 2009 07  73159.
 2009 06  97121.
 2009 05  45102·
 2009 04  7978.
 2009 03  1174·
 2009 02  760·
 2009 01  1269.
 2008 12 373·
 2008 11 6270.
 2008 10 8383·
 2008 09 9397·
 2008 08 9174·
 2008 07 9193·
 2008 06 38146·
 2008 05 33116·
 2008 04 7384·
 2008 03 5977·
 2008 02 1171.
 2008 01 076·
 2007 12  9590·
 2007 11  4293·
 2007 10  64113·
 2007 09  89119.
 2007 08  1107.
 2007 07  16123·
 2007 06  85141.
 2007 05  19105.
 2007 04  41104.
 2007 03  63113.
 2007 02  8893.
 2007 01  3497.
 2006 12 9086.
 2006 11 8866·
 2006 10 982·
 2006 09 396.
 2006 08 49133·
 2006 07 24160.
 2006 06 11134.
 2006 05 2081.
 2006 04 4276.
 2006 03 2875.
 2006 02 8466·
 2006 01 591·
 2005 12  2279.
 2005 11  8073·
 2005 10  3977·
 2005 09  194·
 2005 08  62120.
 2005 07  87122.
 2005 06  14119·
 2005 05  7861.
 2005 04  6386.
 2005 03  8269·
 2005 02  7349.
 2005 01  3051·
 2004 12 5182.
 2004 11 2097.
 2004 10 3113·
 2004 09 75114·
 2004 08 77136.
 2004 07 84147·
 2004 06 17131.
 2004 05 5991.
 2004 04 1482.
 2004 03 8060·
 2004 02 5381.
 2004 01 5089.
 2003 12  6481.
 2003 11  40104·
 2003 10  7491·
 2003 09  4381.
 2003 08  53118·
 2003 07  20123·
 2003 06  68132.
 2003 05  5680.
 2003 04  3075·
 2003 03  295·
 2003 02  4774.
 2003 01  3357.
 2002 12 7185.
 2002 11 9361.
 2002 10 5092·
 2002 09 4593·
 2002 08 77116.
 2002 07 24148.
 2002 06 40125·
 2002 05 84104·
 2002 04 72107.
 2002 03 51123.
 2002 02 492.
 2002 01 7188·
 2001 12  895·
 2001 11  5891·
 2001 10  55119.
 2001 09  49135.
 2001 08  59165.
 2001 07  49187·
 2001 06  31127.
 2001 05  87112·
 2001 04  26107·
 2001 03  5872.
 2001 02  9560.
 2001 01  7987.
 2000 12 3477·
 2000 11 40114·
 2000 10 35140.
 2000 09 46127·
 2000 08 34155·
 2000 07 77134·
 2000 06 64155.
 2000 05 30118.
 2000 04 2116·
 2000 03 75103·
 2000 02 20108.
 2000 01 1108·
 1999 12  36173.
 1999 11  67192.
 1999 10  65181.
 1999 09  53192·
 1999 08  64262.
 1999 07  9283.
 1999 06  87287·
 1999 05  6241·
 1999 04  35175·
 1999 03  83150·
 1999 02  0160·
 1999 01  3111·
 1998 12 24137.
 1998 11 95136.
 1998 10 42243.
 1998 09 13249.
 1998 08 33316·
 1998 07 77329·
 1998 06 74323·
 1998 05 31253·
 1998 04 86174·
 1998 03 86170.
 1998 02 86154.
 1998 01 76138.
 1997 12  34153·
 1997 11  3167·
 1997 10  89150.
 1997 09  91175·
 1997 08  52264.
 1997 07  35295·
 1997 06  22274·
 1997 05  47245.
 1997 04  41198.
 1997 03  13175.
 1997 02  48145·
 1997 01  37166.
 1996 12 26179.
 1996 11 94140·
 1996 10 54178.
 1996 09 80210·
 1996 08 57264·
 1996 07 61326·
 1996 06 54316·
 1996 05 21284·
 1996 04 11202.
 1996 03 18156·
 1996 02 86161·
 1996 01 28148·
 1995 12  86154·
 1995 11  99168·
 1995 10  11179.
 1995 09  97193·
 1995 08  9265·
 1995 07  59343·
 1995 06  19328.
 1995 05  45201·
 1995 04  30150.
 1995 03  81144.
 1995 02  22113.
 1995 01  17126·
 1994 12 24122.
 1994 11 71150.
 1994 10 58177.
 1994 09 82177.
 1994 08 92243·
 1994 07 60249·
 1994 06 89208·
 1994 05 35158·
 1994 04 59137·
 1994 03 6149·
 1994 02 5111·
 1994 01 9487·
 1993 12  76130.
 1993 11  90126·
 1993 10  17121·
 1993 09  4189·
 1993 08  17251.
 1993 07  18267·
 1993 06  63270.
 1993 05  34219.
 1993 04  84157·
 1993 03  22126.
 1993 02  7138·
 1993 01  77125·
 1992 12 2172·
 1992 11 60184.
 1992 10 36154·
 1992 09 53180·
 1992 08 21300.
 1992 07 11327·
 1992 06 63262.
 1992 05 7155.
 1992 04 16158.
 1992 03 84123·
 1992 02 2798.
 1992 01 797·
 1991 12  88105·
 1991 11  10130·
 1991 10  89139·
 1991 09  48157·
 1991 08  63305.
 1991 07  45362.
 1991 06  38319·
 1991 05  48218.
 1991 04  90174.
 1991 03  71149.
 1991 02  87119·
 1991 01  51115·
 1990 12 45143.
 1990 11 95165·
 1990 10 74205.
 1990 09 28211·
 1990 08 29296·
 1990 07 48357.
 1990 06 61316·
 1990 05 72233.
 1990 04 66178·
 1990 03 87189·
 1990 02 36133·
 1990 01 2145·
 1989 12  8158·
 1989 11  94137.
 1989 10  13164·
 1989 09  62147·
 1989 08  29328·
 1989 07  75337·
 1989 06  29282.
 1989 05  21182·
 1989 04  30188·
 1989 03  61145.
 1989 02  47126·
 1989 01  74116.
 1988 12 37131·
 1988 11 11158·
 1988 10 55205·
 1988 09 40222.
 1988 08 0285.
 1988 07 4341·
 1988 06 66348.
 1988 05 63214·
 1988 04 93218.
 1988 03 49172.
 1988 02 17151.
 1988 01 12129.
 1987 12  19142.
 1987 11  75132.
 1987 10  73177.
 1987 09  81187·
 1987 08  1272.
 1987 07  41338·
 1987 06  20320·
 1987 05  89228·
 1987 04  90206.
 1987 03  28161.
 1987 02  71135·
 1987 01  81117.
 1986 12 63124.
 1986 11 42139·
 1986 10 64156·
 1986 09 25203.
 1986 08 18288.
 1986 07 15325·
 1986 06 63332.
 1986 05 16219·
 1986 04 82201.
 1986 03 3140.
 1986 02 55106.
 1986 01 73111.
 1985 12  5137·
 1985 11  89165.
 1985 10  53162.
 1985 09  39212·
 1985 08  62321.
 1985 07  79425.
 1985 06  94368.
 1985 05  85283.
 1985 04  54249·
 1985 03  5203·
 1985 02  43155·
 1985 01  5141·
 1984 12 6148·
 1984 11 22201.
 1984 10 86184.
 1984 09 16252.
 1984 08 69323.
 1984 07 14419.
 1984 06 37373.
 1984 05 64262.
 1984 04 17212.
 1984 03 86167·
 1984 02 33148.
 1984 01 18135.
 1983 12  52144.
 1983 11  70139·
 1983 10  37181.
 1983 09  72231·
 1983 08  98416·
 1983 07  23488·
 1983 06  38390.
 1983 05  44246.
 1983 04  6221·
 1983 03  26157.
 1983 02  48160.
 1983 01  80167.
 1982 12 52184·
 1982 11 87259·
 1982 10 5297·
 1982 09 48290·
 1982 08 36480·
 1982 07 36471·
 1982 06 71379.
 1982 05 43295·
 1982 04 82194.
 1982 03 31169.
 1982 02 36140·
 1982 01 83150.
 1981 12  43146·
 1981 11  52194.
 1981 10  11276.
 1981 09  12282.
 1981 08  92429.
 1981 07  7461·
 1981 06  35400.
 1981 05  1288.
 1981 04  31287.
 1981 03  27190·
 1981 02  70154·
 1981 01  42184·
 1980 12 85192·
 1980 11 70234·
 1980 10 4272.
 1980 09 56315·
 1980 08 3386·
 1980 07 15477.
 1980 06 51415.
 1980 05 85243.
 1980 04 63214.
 1980 03 71188·
 1980 02 48133·
 1980 01 1158.
 1979 12  63165.
 1979 11  69182·
 1979 10  58243.
 1979 09  95254.
 1979 08  29386·
 1979 07  66460.
 1979 06  69408·
 1979 05  88262·
 1979 04  13211.
 1979 03  42185·
 1979 02  93165·
 1979 01  25153·
 1978 12 88176·
 1978 11 5229·
 1978 10 70299.
 1978 09 73307.
 1978 08 56487.
 1978 07 87478.
 1978 06 60450·
 1978 05 27267.
 1978 04 42250·
 1978 03 43215.
 1978 02 54154·
 1978 01 6190·
 1977 12  96206·
 1977 11  56270.
 1977 10  62282.
 1977 09  55304.
 1977 08  94432.
 1977 07  33469·
 1977 06  24411.
 1977 05  42265.
 1977 04  36241.
 1977 03  5216.
 1977 02  3191·
 1977 01  62178.
 1976 12 47210.
 1976 11 28248.
 1976 10 85281.
 1976 09 34317·
 1976 08 78495.
 1976 07 84502.
 1976 06 84419·
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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, 16-19 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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