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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 16-19 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 98133·
 1976 07 41147.
 1976 08 68137.
 1976 09 3287.
 1976 10 1095.
 1976 11 8059.
 1976 12 2450·
 1977 01  5261.
 1977 02  5754.
 1977 03  8669·
 1977 04  50101.
 1977 05  40114.
 1977 06  89140.
 1977 07  42138·
 1977 08  58116.
 1977 09  3963·
 1977 10  8270.
 1977 11  5262.
 1977 12  8663·
 1978 01 1967.
 1978 02 3751.
 1978 03 5053.
 1978 04 9864.
 1978 05 7475·
 1978 06 78120·
 1978 07 92129.
 1978 08 81117.
 1978 09 2372.
 1978 10 5660·
 1978 11 5943·
 1978 12 4859·
 1979 01  1052.
 1979 02  4760.
 1979 03  5861·
 1979 04  3868·
 1979 05  470.
 1979 06  51104.
 1979 07  2197.
 1979 08  1299·
 1979 09  079.
 1979 10  9276.
 1979 11  450·
 1979 12  5954.
 1980 01 1649.
 1980 02 2347·
 1980 03 8971.
 1980 04 9179·
 1980 05 97102·
 1980 06 17125·
 1980 07 83132·
 1980 08 4799.
 1980 09 1180.
 1980 10 7680·
 1980 11 1758·
 1980 12 9059.
 1981 01  5448·
 1981 02  2445·
 1981 03  4859·
 1981 04  770·
 1981 05  4483·
 1981 06  13111·
 1981 07  5793·
 1981 08  1184.
 1981 09  2568.
 1981 10  1757.
 1981 11  5258.
 1981 12  4040.
 1982 01 6666·
 1982 02 3759·
 1982 03 6355·
 1982 04 5862.
 1982 05 6265·
 1982 06 9998.
 1982 07 4894·
 1982 08 5176·
 1982 09 3152·
 1982 10 5253.
 1982 11 8864.
 1982 12 3349·
 1983 01  1952.
 1983 02  7239·
 1983 03  9041.
 1983 04  4243·
 1983 05  9358.
 1983 06  6093.
 1983 07  8685.
 1983 08  4087·
 1983 09  4846.
 1983 10  4154.
 1983 11  3150·
 1983 12  1641·
 1984 01 436·
 1984 02 6532·
 1984 03 839·
 1984 04 8240·
 1984 05 449.
 1984 06 757.
 1984 07 2365·
 1984 08 7663·
 1984 09 1728.
 1984 10 6925.
 1984 11 840.
 1984 12 6229.
 1985 01  3827·
 1985 02  7541.
 1985 03  2032·
 1985 04  2648·
 1985 05  8647·
 1985 06  7762·
 1985 07  4053·
 1985 08  8346·
 1985 09  531·
 1985 10  4826.
 1985 11  7516.
 1985 12  6920.
 1986 01 6420.
 1986 02 9029.
 1986 03 5634.
 1986 04 4839·
 1986 05 5740·
 1986 06 2854·
 1986 07 4158·
 1986 08 855.
 1986 09 324.
 1986 10 1226.
 1986 11 1026.
 1986 12 6120·
 1987 01  4716·
 1987 02  1920·
 1987 03  7132.
 1987 04  4537.
 1987 05  5848.
 1987 06  4747.
 1987 07  5545·
 1987 08  2443·
 1987 09  2923·
 1987 10  2330.
 1987 11  1824·
 1987 12  8520·
 1988 01 8029.
 1988 02 9721.
 1988 03 4327.
 1988 04 4135·
 1988 05 5538·
 1988 06 4441.
 1988 07 3649.
 1988 08 3043.
 1988 09 2427.
 1988 10 6622.
 1988 11 2917.
 1988 12 1516.
 1989 01  8024·
 1989 02  8614.
 1989 03  7716·
 1989 04  8325.
 1989 05  4218.
 1989 06  5638·
 1989 07  6444·
 1989 08  4844.
 1989 09  5521·
 1989 10  5120.
 1989 11  9615.
 1989 12  4820·
 1990 01 8821·
 1990 02 7120·
 1990 03 319.
 1990 04 4521.
 1990 05 3423.
 1990 06 4137·
 1990 07 4432.
 1990 08 2737.
 1990 09 1415·
 1990 10 1311·
 1990 11 9820.
 1990 12 711.
 1991 01  7112·
 1991 02  6217·
 1991 03  7432.
 1991 04  2419.
 1991 05  7423.
 1991 06  8743.
 1991 07  344.
 1991 08  3942·
 1991 09  1723·
 1991 10  1525·
 1991 11  4120·
 1991 12  4218.
 1992 01 2013·
 1992 02 9516·
 1992 03 7016.
 1992 04 4421·
 1992 05 2725.
 1992 06 338.
 1992 07 9739·
 1992 08 8337·
 1992 09 718·
 1992 10 4017·
 1992 11 5426·
 1992 12 2425·
 1993 01  5425·
 1993 02  3020.
 1993 03  9633·
 1993 04  5221·
 1993 05  8723.
 1993 06  2537.
 1993 07  642.
 1993 08  8235.
 1993 09  5011·
 1993 10  011.
 1993 11  9010.
 1993 12  5116·
 1994 01 1312.
 1994 02 5410·
 1994 03 8012·
 1994 04 2211.
 1994 05 6916.
 1994 06 1420·
 1994 07 3227·
 1994 08 8318.
 1994 09 3819·
 1994 10 3011.
 1994 11 2917.
 1994 12 4711·
 1995 01  6415.
 1995 02  7612.
 1995 03  7618·
 1995 04  5222.
 1995 05  1616·
 1995 06  5515·
 1995 07  68·
 1995 08  6010·
 1995 09  886·
 1995 10  9011·
 1995 11  7512.
 1995 12  6014.
 1996 01 014.
 1996 02 33
 1996 03 6521.
 1996 04 6515.
 1996 05 9422.
 1996 06 5819·
 1996 07 8225.
 1996 08 1131.
 1996 09 4231.
 1996 10 6714.
 1996 11 5814.
 1996 12 638.
 1997 01  3616.
 1997 02  841.
 1997 03  5025.
 1997 04  821.
 1997 05  9613·
 1997 06  6017.
 1997 07  3925·
 1997 08  5928.
 1997 09  6515·
 1997 10  7014·
 1997 11  32
 1997 12  547·
 1998 01 159.
 1998 02 158.
 1998 03 6016·
 1998 04 566.
 1998 05 3714·
 1998 06 2120.
 1998 07 817·
 1998 08 5215·
 1998 09 5224·
 1998 10 3616.
 1998 11 7612.
 1998 12 567.
 1999 01  36·
 1999 02  3814.
 1999 03  5114.
 1999 04  59.
 1999 05  6019.
 1999 06  2521·
 1999 07  3826·
 1999 08  6324·
 1999 09  1711.
 1999 10  259.
 1999 11  9410·
 1999 12  1611·
 2000 01 9210·
 2000 02 865.
 2000 03 111.
 2000 04 797.
 2000 05 316.
 2000 06 8514·
 2000 07 6427.
 2000 08 8916.
 2000 09 219.
 2000 10 2217·
 2000 11 176.
 2000 12 913·
 2001 01  07.
 2001 02  228.
 2001 03  148.
 2001 04  278.
 2001 05  434.
 2001 06  3512·
 2001 07  3913·
 2001 08  5517.
 2001 09  76
 2001 10  388·
 2001 11  974.
 2001 12  327.
 2002 01 6711·
 2002 02 305·
 2002 03 21
 2002 04 208.
 2002 05 1211·
 2002 06 3617.
 2002 07 6611·
 2002 08 814·
 2002 09 298·
 2002 10 816·
 2002 11 1515.
 2002 12 89·
 2003 01  617.
 2003 02  214.
 2003 03  7411·
 2003 04  585.
 2003 05  8011.
 2003 06  7428.
 2003 07  7532.
 2003 08  2124.
 2003 09  7713.
 2003 10  945.
 2003 11  744.
 2003 12  846·
 2004 01 747·
 2004 02 30
 2004 03 5410.
 2004 04 6215.
 2004 05 1316·
 2004 06 5922.
 2004 07 2020.
 2004 08 9223·
 2004 09 6413·
 2004 10 80
 2004 11 511.
 2004 12 364·
 2005 01  226.
 2005 02  1910.
 2005 03  65
 2005 04  8210·
 2005 05  412·
 2005 06  2615·
 2005 07  8122·
 2005 08  4412·
 2005 09  5613·
 2005 10  7714·
 2005 11  615.
 2005 12  590·
 2006 01 465.
 2006 02 725.
 2006 03 354·
 2006 04 90
 2006 05 695.
 2006 06 3610·
 2006 07 618·
 2006 08 2613·
 2006 09 443.
 2006 10 204·
 2006 11 2111.
 2006 12 7811.
 2007 01  155.
 2007 02  07.
 2007 03  20
 2007 04  851.
 2007 05  517.
 2007 06  757·
 2007 07  91
 2007 08  105.
 2007 09  4614.
 2007 10  7113·
 2007 11  908.
 2007 12  4012.
 2008 01 1912·
 2008 02 3912·
 2008 03 9912.
 2008 04 8917.
 2008 05 1518.
 2008 06 5435.
 2008 07 2427·
 2008 08 9416·
 2008 09 36.
 2008 10 1512·
 2008 11 976.
 2008 12 1811.
 2009 01  7610.
 2009 02  496.
 2009 03  758·
 2009 04  5012·
 2009 05  5414.
 2009 06  731·
 2009 07  4023.
 2009 08  214.
 2009 09  81
 2009 10  629.
 2009 11  9711.
 2009 12  119·
 2010 01 274.
 2010 02 176·
 2010 03 7910·
 2010 04 4214·
 2010 05 8514·
 2010 06 9532.
 2010 07 4323·
 2010 08 8113·
 2010 09 7412·
 2010 10 4821.
 2010 11 696·
 2010 12 423.
 2011 01  397·
 2011 02  519·
 2011 03  655.
 2011 04  6218.
 2011 05  4815.
 2011 06  411.
 2011 07  6211.
 2011 08  420·
 2011 09  9713.
 2011 10  3312.
 2011 11  169·
 2011 12  578·
 2012 01 38.
 2012 02 882·
 2012 03 111.
 2012 04 343·
 2012 05 1212.
 2012 06 4512·
 2012 07 5116·
 2012 08 715·
 2012 09 926·
 2012 10 48.
 2012 11 696.
 2012 12 326.
 2013 01  3812.
 2013 02  8912.
 2013 03  2215·
 2013 04  53·
 2013 05  684·
 2013 06  535.
 2013 07  9111·
 2013 08  316.
 2013 09  2710.
 2013 10  6910·
 2013 11  8213·
 2013 12  637.
 2014 01 838.
 2014 02 391.
 2014 03 282.
 2014 04 496.
 2014 05 324·
 2014 06 8811.
 2014 07 8415.
 2014 08 489.
 2014 09 923.
 2014 10 6613·
 2014 11 347.
 2014 12 7410·
 2015 01  712.
 2015 02  496·
 2015 03  8214.
 2015 04  6413.
 2015 05  4715·
 2015 06  3632·
 2015 07  6114·
 2015 08  807.
 2015 09  5
 2015 10  5414.
 2015 11  28
 2015 12  129·
 2016 01 18.
 2016 02 53
 2016 03 643·
 2016 04 728.
 2016 05 7911·
 2016 06 812.
 2016 07 7615.
 2016 08 9714.
 2016 09 8
 2016 10 203·
 2016 11 96
 2016 12 5111·
 2017 01  827.
 2017 02  137·
 2017 03  798.
 2017 04  228.
 2017 05  2010·


 2017 06  398·
 2017 07  812·
 2017 08  221·
 2017 09  670·
 2017 10  73
 2017 11  9015.
 2017 12  8915.
 2018 01 9116.
 2018 02 1526.
 2018 03 5510.
 2018 04 8715.
 2018 05 8715.
 2018 06 9017·
 2018 07 6217·
 2018 08 37.
Economagic: Year Chart
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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, Unpaid Family 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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