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 Series Title: Employment Level: Agriculture and Related Industries, Wage and Salary Workers, 18-19 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 3738.
 2012 03 7029.
 2012 02 5943·
 2012 01 651·
 2011 12  3942.
 2011 11  8634·
 2011 10  7924.
 2011 09  7941·
 2011 08  2676·
 2011 07  2083·
 2011 06  2062·
 2011 05  6960.
 2011 04  4838·
 2011 03  5339·
 2011 02  9337·
 2011 01  2042.
 2010 12 8139.
 2010 11 9143.
 2010 10 3654.
 2010 09 363.
 2010 08 2560·
 2010 07 6666·
 2010 06 1352·
 2010 05 1039.
 2010 04 737·
 2010 03 3526.
 2010 02 1127.
 2010 01 6128·
 2009 12  7541.
 2009 11  7955·
 2009 10  4354·
 2009 09  070.
 2009 08  561.
 2009 07  686·
 2009 06  4759·
 2009 05  9741.
 2009 04  9849·
 2009 03  4653·
 2009 02  8644.
 2009 01  4550·
 2008 12 8043·
 2008 11 5633·
 2008 10 4843·
 2008 09 6341.
 2008 08 080·
 2008 07 1981·
 2008 06 4557.
 2008 05 9655·
 2008 04 3456.
 2008 03 4045.
 2008 02 1642.
 2008 01 1338.
 2007 12  8342·
 2007 11  5150·
 2007 10  2359.
 2007 09  859.
 2007 08  7150·
 2007 07  1044·
 2007 06  5567.
 2007 05  048.
 2007 04  5056·
 2007 03  9666·
 2007 02  2457.
 2007 01  3455.
 2006 12 9439.
 2006 11 1834.
 2006 10 6845·
 2006 09 7752·
 2006 08 468.
 2006 07 764·
 2006 06 5041·
 2006 05 2539.
 2006 04 531·
 2006 03 1921·
 2006 02 5922.
 2006 01 9738.
 2005 12  4842·
 2005 11  3734.
 2005 10  540.
 2005 09  3752.
 2005 08  874.
 2005 07  6664.
 2005 06  2941·
 2005 05  1330.
 2005 04  8638.
 2005 03  3934·
 2005 02  9222·
 2005 01  2123·
 2004 12 649.
 2004 11 1155·
 2004 10 8369·
 2004 09 7969.
 2004 08 2074·
 2004 07 6578·
 2004 06 1468·
 2004 05 3144.
 2004 04 331·
 2004 03 827.
 2004 02 2356.
 2004 01 4756.
 2003 12  5552·
 2003 11  7154.
 2003 10  7347·
 2003 09  2151.
 2003 08  164·
 2003 07  1065·
 2003 06  5370.
 2003 05  7139.
 2003 04  9236.
 2003 03  752.
 2003 02  7444.
 2003 01  4229·
 2002 12 336·
 2002 11 6931.
 2002 10 7543.
 2002 09 360.
 2002 08 3567.
 2002 07 2891·
 2002 06 1963·
 2002 05 4951.
 2002 04 1249.
 2002 03 4064·
 2002 02 9453.
 2002 01 9758·
 2001 12  8754.
 2001 11  8744·
 2001 10  1259·
 2001 09  9461·
 2001 08  3365·
 2001 07  7581·
 2001 06  1168·
 2001 05  666.
 2001 04  5172·
 2001 03  3640.
 2001 02  5433.
 2001 01  3057.
 2000 12 6749·
 2000 11 2772.
 2000 10 3081.
 2000 09 8460·
 2000 08 3184.
 2000 07 2958·
 2000 06 5180.
 2000 05 1169·
 2000 04 1859·
 2000 03 4958·
 2000 02 5566.
 2000 01 8254·
 1999 12  2996.
 1999 11  19103·
 1999 10  490.
 1999 09  90113.
 1999 08  89145·
 1999 07  95140·
 1999 06  88143·
 1999 05  55142·
 1999 04  49113·
 1999 03  6090.
 1999 02  18100.
 1999 01  2063·
 1998 12 8370.
 1998 11 1884·
 1998 10 32141.
 1998 09 55143·
 1998 08 93162.
 1998 07 3157·
 1998 06 94155.
 1998 05 54143.
 1998 04 495.
 1998 03 7198·
 1998 02 9173·
 1998 01 3653·
 1997 12  6678.
 1997 11  378·
 1997 10  3681.
 1997 09  45107·
 1997 08  54146.
 1997 07  6157·
 1997 06  67148.
 1997 05  51143·
 1997 04  69112·
 1997 03  12107·
 1997 02  4875.
 1997 01  47101.
 1996 12 3790·
 1996 11 7876.
 1996 10 6597.
 1996 09 52117.
 1996 08 7119·
 1996 07 85159·
 1996 06 32160.
 1996 05 11164·
 1996 04 55118.
 1996 03 3988.
 1996 02 8683.
 1996 01 9383·
 1995 12  8181·
 1995 11  7294.
 1995 10  91105.
 1995 09  93116·
 1995 08  12142.
 1995 07  42205.
 1995 06  35203.
 1995 05  28130.
 1995 04  9786·
 1995 03  2972·
 1995 02  2967.
 1995 01  4470·
 1994 12 1165·
 1994 11 4079.
 1994 10 1391·
 1994 09 998·
 1994 08 55137·
 1994 07 8114·
 1994 06 4992.
 1994 05 1773·
 1994 04 5556.
 1994 03 8874.
 1994 02 2567.
 1994 01 8954.
 1993 12  6076.
 1993 11  6184.
 1993 10  5467·
 1993 09  67104·
 1993 08  47116.
 1993 07  36129.
 1993 06  74143·
 1993 05  21129.
 1993 04  1594·
 1993 03  4472.
 1993 02  4783.
 1993 01  4675·
 1992 12 90113·
 1992 11 40112·
 1992 10 62103.
 1992 09 5997·
 1992 08 23148.
 1992 07 7168·
 1992 06 31144.
 1992 05 690.
 1992 04 8889.
 1992 03 5166·
 1992 02 9257.
 1992 01 5651·
 1991 12  8761·
 1991 11  583·
 1991 10  973.
 1991 09  298.
 1991 08  44185·
 1991 07  24186·
 1991 06  69140·
 1991 05  65132·
 1991 04  9109.
 1991 03  90101.
 1991 02  8574·
 1991 01  8781.
 1990 12 6082.
 1990 11 1194.
 1990 10 94108.
 1990 09 38114.
 1990 08 95151.
 1990 07 17166·
 1990 06 61172.
 1990 05 13137·
 1990 04 40104·
 1990 03 65114.
 1990 02 7276·
 1990 01 3083.
 1989 12  4592·
 1989 11  3780·
 1989 10  4195.
 1989 09  3483.
 1989 08  86138·
 1989 07  39143·
 1989 06  5129.
 1989 05  93102.
 1989 04  64106.
 1989 03  484·
 1989 02  2771.
 1989 01  274·
 1988 12 371·
 1988 11 8786.
 1988 10 96118.
 1988 09 80134·
 1988 08 54159.
 1988 07 71162.
 1988 06 24181.
 1988 05 71114·
 1988 04 93128.
 1988 03 62106·
 1988 02 4891·
 1988 01 4572·
 1987 12  2069·
 1987 11  9267.
 1987 10  3399.
 1987 09  9596.
 1987 08  59110.
 1987 07  17146·
 1987 06  65141.
 1987 05  40134.
 1987 04  63114.
 1987 03  1998.
 1987 02  5979.
 1987 01  2569.
 1986 12 560·
 1986 11 477·
 1986 10 5079.
 1986 09 19102.
 1986 08 87137.
 1986 07 5144·
 1986 06 3167.
 1986 05 16119·
 1986 04 33115·
 1986 03 7879·
 1986 02 651.
 1986 01 3557·
 1985 12  9592·
 1985 11  4100.
 1985 10  71111.
 1985 09  20123.
 1985 08  47161.
 1985 07  90192·
 1985 06  35196·
 1985 05  41156·
 1985 04  91129.
 1985 03  69115.
 1985 02  6382.
 1985 01  9184.
 1984 12 5090·
 1984 11 96113·
 1984 10 42108·
 1984 09 90134.
 1984 08 76151·
 1984 07 52201·
 1984 06 85189.
 1984 05 81157.
 1984 04 45132.
 1984 03 46103.
 1984 02 2991.
 1984 01 3580.
 1983 12  5687.
 1983 11  889.
 1983 10  38102.
 1983 09  45153.
 1983 08  34211·
 1983 07  95242.
 1983 06  99205.
 1983 05  30143·
 1983 04  31135.
 1983 03  89106·
 1983 02  26105.
 1983 01  34103.
 1982 12 22106.
 1982 11 96163.
 1982 10 56191·
 1982 09 26181·
 1982 08 7255.
 1982 07 48231.
 1982 06 52187.
 1982 05 2157.
 1982 04 11112·
 1982 03 194·
 1982 02 276·
 1982 01 7987.
 1981 12  8598.
 1981 11  38112.
 1981 10  19153.
 1981 09  2153·
 1981 08  5215·
 1981 07  65203·
 1981 06  41208·
 1981 05  40148·
 1981 04  70156.
 1981 03  13111·
 1981 02  3085.
 1981 01  88104.
 1980 12 6102.
 1980 11 39134·
 1980 10 76153·
 1980 09 63164·
 1980 08 63168·
 1980 07 25189.
 1980 06 89186·
 1980 05 12113·
 1980 04 18107·
 1980 03 78106.
 1980 02 977·
 1980 01 190·
 1979 12  6989.
 1979 11  2992.
 1979 10  99110.
 1979 09  27107.
 1979 08  43145·
 1979 07  34203·
 1979 06  45186.
 1979 05  8121.
 1979 04  9096·
 1979 03  7680.
 1979 02  6270·
 1979 01  8778.
 1978 12 8699.
 1978 11 61114·
 1978 10 86139.
 1978 09 35133·
 1978 08 30188.
 1978 07 20184·
 1978 06 81202.
 1978 05 45134·
 1978 04 48121.
 1978 03 11107·
 1978 02 3583·
 1978 01 37120·
 1977 12  91118.
 1977 11  14140·
 1977 10  61138·
 1977 09  54176.
 1977 08  34206.
 1977 07  37185.
 1977 06  96168.
 1977 05  66113·
 1977 04  77114.
 1977 03  12114.
 1977 02  399·
 1977 01  6787·
 1976 12 46110·
 1976 11 94124·
 1976 10 71143·
 1976 09 76178.
 1976 08 91199·
 1976 07 65178.
 1976 06 12180·
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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, 18-19 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

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

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