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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 35-44 years, Women: NSA
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 1976 06 2357.
 1976 07 1150.
 1976 08 9855.
 1976 09 5761·
 1976 10 8269.
 1976 11 7161.
 1976 12 2345.
 1977 01  7035·
 1977 02  2035.
 1977 03  4128·
 1977 04  6252·
 1977 05  9471.
 1977 06  8779.
 1977 07  583·
 1977 08  2663.
 1977 09  7348·
 1977 10  5854·
 1977 11  6762·
 1977 12  5537·
 1978 01 7729·
 1978 02 3530.
 1978 03 6137·
 1978 04 1140.
 1978 05 9952.
 1978 06 4255.
 1978 07 4277·
 1978 08 8252·
 1978 09 5944.
 1978 10 3054·
 1978 11 9244·
 1978 12 8138·
 1979 01  120·
 1979 02  7425.
 1979 03  1832.
 1979 04  4536·
 1979 05  9452.
 1979 06  7561.
 1979 07  5166.
 1979 08  3848.
 1979 09  3247.
 1979 10  5759·
 1979 11  4949.
 1979 12  4840.
 1980 01 3430·
 1980 02 7225·
 1980 03 9229·
 1980 04 8744·
 1980 05 4563.
 1980 06 9567.
 1980 07 8883.
 1980 08 9460·
 1980 09 3355·
 1980 10 2657.
 1980 11 6746.
 1980 12 3037·
 1981 01  9333.
 1981 02  9042·
 1981 03  8734·
 1981 04  8541·
 1981 05  4438·
 1981 06  3942·
 1981 07  3050·
 1981 08  7141·
 1981 09  3029·
 1981 10  4645.
 1981 11  247.
 1981 12  2522·
 1982 01 2029.
 1982 02 1423·
 1982 03 3421.
 1982 04 1233.
 1982 05 942·
 1982 06 6655·
 1982 07 8355.
 1982 08 1856.
 1982 09 1444.
 1982 10 5444.
 1982 11 3143·
 1982 12 5625.
 1983 01  8221.
 1983 02  5322.
 1983 03  8537.
 1983 04  6525.
 1983 05  8035.
 1983 06  6350.
 1983 07  7645.
 1983 08  841.
 1983 09  236.
 1983 10  940.
 1983 11  6033.
 1983 12  7131·
 1984 01 6921·
 1984 02 4317.
 1984 03 2027·
 1984 04 6933.
 1984 05 2442·
 1984 06 3951·
 1984 07 6258·
 1984 08 3957·
 1984 09 3641·
 1984 10 9833·
 1984 11 1832.
 1984 12 4334.
 1985 01  034·
 1985 02  4530.
 1985 03  4448·
 1985 04  7130.
 1985 05  3447.
 1985 06  3141.
 1985 07  2240·
 1985 08  3428·
 1985 09  8325.
 1985 10  3120·
 1985 11  5919·
 1985 12  7019·
 1986 01 1519.
 1986 02 4515·
 1986 03 8632.
 1986 04 4321·
 1986 05 2630.
 1986 06 9941·
 1986 07 6037·
 1986 08 4126.
 1986 09 3411·
 1986 10 4322.
 1986 11 6229·
 1986 12 7517·
 1987 01  8223.
 1987 02  5315·
 1987 03  017·
 1987 04  8517.
 1987 05  4219·
 1987 06  2816.
 1987 07  515.
 1987 08  3321.
 1987 09  614·
 1987 10  9519.
 1987 11  3234·
 1987 12  720.
 1988 01 9322·
 1988 02 426.
 1988 03 6516.
 1988 04 1914.
 1988 05 4830.
 1988 06 3025·
 1988 07 1024·
 1988 08 823.
 1988 09 4113.
 1988 10 7323.
 1988 11 9820·
 1988 12 3718.
 1989 01  6411·
 1989 02  5916.
 1989 03  8725·
 1989 04  9317·
 1989 05  3728·
 1989 06  3931·
 1989 07  5728.
 1989 08  9026.
 1989 09  519.
 1989 10  8719.
 1989 11  1522.
 1989 12  6522·
 1990 01 378·
 1990 02 47.
 1990 03 9313.
 1990 04 8117.
 1990 05 2627·
 1990 06 1625·
 1990 07 4820·
 1990 08 2620.
 1990 09 9225.
 1990 10 7220.
 1990 11 6116.
 1990 12 139.
 1991 01  7819·
 1991 02  4917.
 1991 03  3818.
 1991 04  809.
 1991 05  5529.
 1991 06  4719·
 1991 07  1323.
 1991 08  8913.
 1991 09  1616·
 1991 10  9012·
 1991 11  4010.
 1991 12  298·
 1992 01 819.
 1992 02 3013.
 1992 03 38·
 1992 04 1315.
 1992 05 9212·
 1992 06 4236.
 1992 07 625.
 1992 08 7826·
 1992 09 2114·
 1992 10 2618·
 1992 11 8318.
 1992 12 874·
 1993 01  6012·
 1993 02  716.
 1993 03  9022·
 1993 04  2816·
 1993 05  2922·
 1993 06  3733.
 1993 07  823·
 1993 08  1517·
 1993 09  7324.
 1993 10  9018·
 1993 11  4413·
 1993 12  8416.
 1994 01 592·
 1994 02 662·
 1994 03 294.
 1994 04 997.
 1994 05 837·
 1994 06 928.
 1994 07 2110.
 1994 08 484.
 1994 09 632·
 1994 10 171.
 1994 11 12.
 1994 12 443·
 1995 01  442.
 1995 02  182.
 1995 03  753.
 1995 04  248·
 1995 05  956·
 1995 06  93
 1995 07  7510.
 1995 08  514.
 1995 09  91.
 1995 10  691·
 1995 11  590·
 1995 12  141.
 1996 01 73.
 1996 02 971·
 1996 03 7
 1996 04 252·
 1996 05 326.
 1996 06 516.
 1996 07 265.
 1996 08 22
 1996 09 53
 1996 10 31
 1996 11 474·
 1996 12 684.
 1997 01  642.
 1997 02  642.
 1997 03  282.
 1997 04  502·
 1997 05  855·
 1997 06  08.
 1997 07  5110·
 1997 08  837.
 1997 09  60
 1997 10  144·
 1997 11  20
 1997 12  34·
 1998 01 584·
 1998 02 64.
 1998 03 703.
 1998 05 745·
 1998 06 732.
 1998 07 26.
 1998 08 557·
 1998 09 831.
 1998 10 241·
 1998 11 525.
 1998 12 58
 1999 02  431.
 1999 03  554.
 1999 04  321·
 1999 05  85
 1999 06  933.
 1999 07  3613.
 1999 08  4211·
 1999 09  6812·
 1999 10  9416·
 1999 11  605.
 1999 12  87.
 2000 01 634.
 2000 02 362.
 2000 03 472·
 2000 04 793.
 2000 05 536·
 2000 07 303·
 2000 08 413·
 2001 02  310·
 2001 03  430·
 2001 04  162.
 2001 05  112·
 2001 07  653.
 2001 09  661.
 2001 10  543·
 2001 12  512.
 2002 02 60.
 2002 03 783.
 2002 04 353.
 2002 05 803.
 2002 07 44.
 2002 08 610.
 2002 09 702.
 2002 10 435.
 2002 11 355.
 2002 12 215·
 2003 01  976.
 2003 02  83.
 2003 03  993.
 2003 04  901·
 2003 05  790·
 2003 06  700.
 2003 07  211.
 2003 08  240.
 2003 09  52.
 2003 10  481·
 2003 11  530.
 2003 12  61.
 2004 01 861.
 2004 02 86
 2004 03 691.
 2004 06 420.
 2004 07 61
 2004 08 53
 2004 09 692.
 2004 10 642.
 2005 01  932.
 2005 02  435·
 2005 03  803·
 2005 04  282·
 2005 07  703.
 2005 08  761.
 2005 10  511·
 2005 11  151·
 2005 12  41·
 2006 01 953·
 2006 05 582·
 2006 06 334.
 2006 07 344.
 2006 08 70
 2007 01  12.
 2007 02  143.
 2007 03  223.
 2007 04  953.
 2007 05  61.
 2007 06  130.
 2007 07  567·
 2007 08  880.
 2007 09  234.
 2007 11  120.
 2007 12  500·
 2008 01 950.
 2008 02 272.
 2008 04 192.
 2008 05 401·
 2008 12 844·
 2009 01  193·
 2009 06  64
 2009 07  900.
 2009 08  500.
 2009 09  250·
 2009 10  51.
 2009 11  890.
 2009 12  111·
 2010 01 940·
 2010 02 220.
 2010 03 470·
 2010 04 12
 2010 05 23·
 2010 06 230·
 2010 07 53.
 2010 08 210.
 2010 09 490.
 2010 10 402.
 2010 11 232.
 2010 12 342·
 2011 01  61
 2011 02  280·
 2011 03  913.
 2011 04  681.
 2011 05  880.
 2011 06  700·
 2011 07  220·
 2011 08  690·
 2011 09  62.
 2011 10  72
 2011 11  522·
 2011 12  53·
 2012 01 150.
 2012 02 663.
 2012 03 463·
 2012 04 713.
 2012 05 403·
 2012 06 80·
 2012 07 900·
 2012 08 860·
 2012 09 32
 2012 10 810·
 2012 11 980.
 2012 12 933·
 2013 01  662·
 2013 02  903.
 2013 03  83·
 2013 04  623.
 2013 05  430·
 2013 06  680.
 2013 07  830·
 2013 08  87
 2013 09  873·
 2013 10  700·
 2013 11  100.
 2013 12  880.
 2014 01 500.
 2014 02 801.
 2014 03 20.
 2014 04 80·
 2014 05 63·
 2014 06 20.
 2014 07 980.
 2014 08 160·
 2014 09 573·
 2014 10 700.
 2014 11 59
 2014 12 70·
 2015 01  27
 2015 02  394.
 2015 03  757·
 2015 04  09.
 2015 05  667.
 2015 06  924·
 2015 07  580.
 2015 08  380·
 2015 09  510.
 2015 10  34
 2015 11  450·
 2015 12  924·
 2016 01 82
 2016 02 981·
 2016 03 04·
 2016 04 550·
 2016 05 840.
 2016 06 400.


 2016 07 112.
 2016 08 470·
 2016 09 70·
 2016 10 420.
 2016 11 900·
 2016 12 100·
 2017 01  270·
 2017 02  101.
 2017 03  764·
 2017 04  163.
 2017 05  443.
 2017 06  76
 2017 07  310.
 2017 08  571.
 2017 09  840.
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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

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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 35-44 years, Women: 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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