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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 16-19 years: NSA
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 1976 06 33133.
 1976 07 14147·
 1976 08 13137.
 1976 09 3787·
 1976 10 2195.
 1976 11 059·
 1976 12 1050.
 1977 01  1961.
 1977 02  7554.
 1977 03  8369·
 1977 04  8101·
 1977 05  0114.
 1977 06  46140.
 1977 07  47138·
 1977 08  20116·
 1977 09  2463.
 1977 10  970·
 1977 11  9862.
 1977 12  8463.
 1978 01 5967.
 1978 02 6451·
 1978 03 6753·
 1978 04 6364.
 1978 05 175·
 1978 06 38120·
 1978 07 11129.
 1978 08 43117·
 1978 09 6872·
 1978 10 7960·
 1978 11 1243·
 1978 12 4059.
 1979 01  452.
 1979 02  6560.
 1979 03  7661·
 1979 04  8968·
 1979 05  7970·
 1979 06  94104.
 1979 07  3597.
 1979 08  5599·
 1979 09  8679.
 1979 10  9376·
 1979 11  4550·
 1979 12  2454·
 1980 01 4549.
 1980 02 1147.
 1980 03 8971.
 1980 04 1179.
 1980 05 1102·
 1980 06 25125·
 1980 07 73132.
 1980 08 5299.
 1980 09 2180.
 1980 10 3580·
 1980 11 2858·
 1980 12 1159·
 1981 01  048.
 1981 02  6645·
 1981 03  1259.
 1981 04  7670.
 1981 05  5883.
 1981 06  68111·
 1981 07  593.
 1981 08  5984.
 1981 09  3868·
 1981 10  1657·
 1981 11  1458.
 1981 12  9940.
 1982 01 1066.
 1982 02 1259.
 1982 03 7255·
 1982 04 5862.
 1982 05 6865.
 1982 06 8198·
 1982 07 3494·
 1982 08 2476.
 1982 09 3052·
 1982 10 7353·
 1982 11 8364·
 1982 12 1049·
 1983 01  4252.
 1983 02  6339·
 1983 03  2541·
 1983 04  5443·
 1983 05  7258.
 1983 06  5193.
 1983 07  9185·
 1983 08  1987·
 1983 09  1446.
 1983 10  6454·
 1983 11  3950.
 1983 12  9241.
 1984 01 8736.
 1984 02 5232.
 1984 03 5039·
 1984 04 8740·
 1984 05 3749.
 1984 06 8957·
 1984 07 3065·
 1984 08 4263.
 1984 09 3128.
 1984 10 7725·
 1984 11 1140.
 1984 12 1929·
 1985 01  6427·
 1985 02  4041·
 1985 03  5032.
 1985 04  648.
 1985 05  5447·
 1985 06  2962.
 1985 07  2953·
 1985 08  1746.
 1985 09  4831.
 1985 10  2026·
 1985 11  5416·
 1985 12  8820·
 1986 01 1220.
 1986 02 1329.
 1986 03 5634.
 1986 04 8439.
 1986 05 4240·
 1986 06 3354·
 1986 07 9358.
 1986 08 9155·
 1986 09 5624.
 1986 10 3126·
 1986 11 4626.
 1986 12 2320·
 1987 01  016.
 1987 02  8220·
 1987 03  2232.
 1987 04  1837·
 1987 05  4148.
 1987 06  8647.
 1987 07  5245·
 1987 08  3843·
 1987 09  7423.
 1987 10  7030·
 1987 11  9324·
 1987 12  7220.
 1988 01 1829.
 1988 02 8221.
 1988 03 2727·
 1988 04 3235.
 1988 05 1838·
 1988 06 9941·
 1988 07 6049.
 1988 08 5643·
 1988 09 4227.
 1988 10 2122·
 1988 11 2417.
 1988 12 716.
 1989 01  8524.
 1989 02  7314.
 1989 03  7516.
 1989 04  7325·
 1989 05  6518.
 1989 06  738·
 1989 07  9544·
 1989 08  6844·
 1989 09  2721.
 1989 10  9620·
 1989 11  9215·
 1989 12  2720·
 1990 01 4021·
 1990 02 4220·
 1990 03 9519.
 1990 04 1621.
 1990 05 9923.
 1990 06 7037·
 1990 07 6332.
 1990 08 2137·
 1990 09 2115·
 1990 10 3011·
 1990 11 7720·
 1990 12 5511·
 1991 01  5212·
 1991 02  9817·
 1991 03  4332.
 1991 04  5719·
 1991 05  6123·
 1991 06  7443·
 1991 07  9344·
 1991 08  8942·
 1991 09  4223.
 1991 10  8425.
 1991 11  8320·
 1991 12  3918·
 1992 01 1313·
 1992 02 7816.
 1992 03 9616·
 1992 04 2021.
 1992 05 1925·
 1992 06 3138·
 1992 07 3839.
 1992 08 7037·
 1992 09 2918·
 1992 10 4317·
 1992 11 4026·
 1992 12 5225.
 1993 01  3825·
 1993 02  4120·
 1993 03  6033·
 1993 04  5321.
 1993 05  6423.
 1993 06  7437.
 1993 07  7842·
 1993 08  8735.
 1993 09  5211·
 1993 10  1811·
 1993 11  210.
 1993 12  9116.
 1994 01 7012·
 1994 02 7410·
 1994 03 6412.
 1994 04 2911.
 1994 05 1316.
 1994 06 6620·
 1994 07 1827·
 1994 08 8818·
 1994 09 019.
 1994 10 4511·
 1994 11 4917·
 1994 12 8111.
 1995 01  7515.
 1995 02  8612.
 1995 03  6118·
 1995 04  4622.
 1995 05  816·
 1995 06  9015·
 1995 07  878.
 1995 08  4610.
 1995 09  926.
 1995 10  8311.
 1995 11  8412.
 1995 12  6814.
 1996 01 4614·
 1996 02 149·
 1996 03 3221.
 1996 04 2715·
 1996 05 1522.
 1996 06 5919·
 1996 07 3925.
 1996 08 5931·
 1996 09 6831.
 1996 10 1814.
 1996 11 3614.
 1996 12 278·
 1997 01  9916·
 1997 02  18
 1997 03  8125.
 1997 04  2021·
 1997 05  2713·
 1997 06  717·
 1997 07  5325.
 1997 08  5028.
 1997 09  9615·
 1997 10  6214·
 1997 11  618.
 1997 12  557.
 1998 01 769·
 1998 02 838·
 1998 03 3616.
 1998 04 986.
 1998 05 6014·
 1998 06 9520.
 1998 07 347·
 1998 08 6715.
 1998 09 6824.
 1998 10 4916.
 1998 11 3812·
 1998 12 757.
 1999 01  436·
 1999 02  2014·
 1999 03  5314.
 1999 04  599·
 1999 05  5619.
 1999 06  921·
 1999 07  1126·
 1999 08  8324·
 1999 09  9911.
 1999 10  419.
 1999 11  7010·
 1999 12  3511·
 2000 01 9310.
 2000 02 655.
 2000 03 1011·
 2000 04 277·
 2000 05 81
 2000 06 5914.
 2000 07 3927·
 2000 08 9716.
 2000 09 3319·
 2000 10 2117·
 2000 11 876.
 2000 12 813·
 2001 01  427·
 2001 02  788·
 2001 03  12
 2001 04  498·
 2001 05  294·
 2001 06  8012·
 2001 07  9513·
 2001 08  3117·
 2001 09  364·
 2001 10  2
 2001 11  444·
 2001 12  937·
 2002 01 3311·
 2002 02 455.
 2002 03 887.
 2002 04 98
 2002 05 1411.
 2002 06 3417·
 2002 07 8611.
 2002 08 3314.
 2002 09 998.
 2002 10 1916.
 2002 11 1915.
 2002 12 129.
 2003 01  317·
 2003 02  764·
 2003 03  9311.
 2003 04  725.
 2003 05  8011·
 2003 06  528.
 2003 07  4032·
 2003 08  7724.
 2003 09  4013.
 2003 10  325.
 2003 11  174·
 2003 12  136.
 2004 01 297·
 2004 02 78.
 2004 03 510·
 2004 04 9515.
 2004 05 9316.
 2004 06 522·
 2004 07 1120.
 2004 08 6023·
 2004 09 9913·
 2004 10 27
 2004 11 6711.
 2004 12 704·
 2005 01  446·
 2005 02  9810·
 2005 03  299.
 2005 04  1510·
 2005 05  4412·
 2005 06  6915.
 2005 07  7922.
 2005 08  612.
 2005 09  4513.
 2005 10  1414·
 2005 11  245·
 2005 12  810.
 2006 01 165·
 2006 02 355·
 2006 03 95
 2006 04 4
 2006 05 515.
 2006 06 5710.
 2006 07 48
 2006 08 6213.
 2006 09 693.
 2006 10 304·
 2006 11 6611·
 2006 12 6811·
 2007 01  145·
 2007 02  297·
 2007 03  564·
 2007 04  601.
 2007 05  557.
 2007 06  557·
 2007 07  489.
 2007 08  15·
 2007 09  8714.
 2007 10  3313·
 2007 11  998·
 2007 12  7912·
 2008 01 2912.
 2008 02 1412·
 2008 03 9212·
 2008 04 717·
 2008 05 2418·
 2008 06 7335.
 2008 07 3227·
 2008 08 2316·
 2008 09 42
 2008 10 1112.
 2008 11 516·
 2008 12 8911.
 2009 01  7710·
 2009 02  526·
 2009 03  78·
 2009 04  9312·
 2009 05  4814·
 2009 06  4831.
 2009 07  8023·
 2009 08  4914·
 2009 09  0
 2009 10  739·
 2009 11  7711·
 2009 12  939.
 2010 01 14·
 2010 02 286·
 2010 03 3010.
 2010 04 9014.
 2010 05 4514·
 2010 06 3932·
 2010 07 9623·
 2010 08 2713·
 2010 09 5312·
 2010 10 5521.
 2010 11 566.
 2010 12 173.
 2011 01  677.
 2011 02  539.
 2011 03  175·
 2011 04  9818.
 2011 05  5715.
 2011 06  3211.
 2011 07  1011·
 2011 08  3220.
 2011 09  1813.
 2011 10  1812·
 2011 11  929·
 2011 12  88.
 2012 01 678.
 2012 02 62
 2012 03 451.
 2012 04 383.
 2012 05 5012.
 2012 06 3812·
 2012 07 7616·
 2012 08 605·
 2012 09 366·
 2012 10 478·
 2012 11 156.
 2012 12 38
 2013 01  1812.
 2013 02  1512·
 2013 03  2015·
 2013 04  583·
 2013 05  164·
 2013 06  925.
 2013 07  7211.
 2013 08  3516.
 2013 09  7510.
 2013 10  5310.
 2013 11  7913.
 2013 12  67·
 2014 01 628.
 2014 02 991.
 2014 03 712.
 2014 04 336.
 2014 05 724·
 2014 06 5511·
 2014 07 515.
 2014 08 59.
 2014 09 253.
 2014 10 7113.
 2014 11 637·
 2014 12 3510·
 2015 01  6512.
 2015 02  246·
 2015 03  5114.
 2015 04  6013.
 2015 05  6015.
 2015 06  1232.
 2015 07  214.
 2015 08  437.
 2015 09  59.
 2015 10  6214.
 2015 11  719·
 2015 12  739·
 2016 01 198.
 2016 02 242·
 2016 03 413·
 2016 04 628·
 2016 05 4611·
 2016 06 7412.
 2016 07 1815.
 2016 08 4714·


 2016 09 566·
 2016 10 123.
 2016 11 339·
 2016 12 9311.
 2017 01  427·
 2017 02  627·
 2017 03  448.
 2017 04  868.
 2017 05  2310·
 2017 06  778·
 2017 07  3212·
 2017 08  401·
 2017 09  440·
 2017 10  307·
 2017 11  315.
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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
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