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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 55-64 years, Women: 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 4262.
 1976 07 3049.
 1976 08 1051.
 1976 09 2749·
 1976 10 5440.
 1976 11 6137.
 1976 12 2533·
 1977 01  4926.
 1977 02  1918·
 1977 03  7823·
 1977 04  2843·
 1977 05  5750·
 1977 06  8950.
 1977 07  6365·
 1977 08  3353·
 1977 09  9536·
 1977 10  3847·
 1977 11  2232·
 1977 12  7731.
 1978 01 3329.
 1978 02 6822.
 1978 03 8728·
 1978 04 2326.
 1978 05 6432.
 1978 06 362·
 1978 07 1447·
 1978 08 6042.
 1978 09 844.
 1978 10 9361.
 1978 11 8632·
 1978 12 9922.
 1979 01  926.
 1979 02  1529.
 1979 03  932.
 1979 04  7828.
 1979 05  3628·
 1979 06  6846.
 1979 07  1347.
 1979 08  6249·
 1979 09  8343.
 1979 10  7942.
 1979 11  5727.
 1979 12  3727·
 1980 01 6918·
 1980 02 9717.
 1980 03 2228.
 1980 04 1630·
 1980 05 3933.
 1980 06 9727·
 1980 07 1443·
 1980 08 3834·
 1980 09 6236.
 1980 10 8146·
 1980 11 6530·
 1980 12 6415.
 1981 01  3117·
 1981 02  7316·
 1981 03  3221.
 1981 04  8426·
 1981 05  6623.
 1981 06  2438.
 1981 07  9622·
 1981 08  1028·
 1981 09  1026·
 1981 10  939·
 1981 11  6448.
 1981 12  8010·
 1982 01 3420.
 1982 02 2916·
 1982 03 6820·
 1982 04 5728.
 1982 05 3233.
 1982 06 937·
 1982 07 6430·
 1982 08 2840·
 1982 09 2131.
 1982 10 026.
 1982 11 3323.
 1982 12 722·
 1983 01  4815·
 1983 02  7617.
 1983 03  8317.
 1983 04  3110·
 1983 05  8020.
 1983 06  3939.
 1983 07  4645·
 1983 08  6430·
 1983 09  1138.
 1983 10  1435·
 1983 11  7726.
 1983 12  9331.
 1984 01 6216.
 1984 02 5019.
 1984 03 5812·
 1984 04 3015·
 1984 05 7629.
 1984 06 2431·
 1984 07 9737.
 1984 08 1530·
 1984 09 2235.
 1984 10 3632.
 1984 11 2429.
 1984 12 1023·
 1985 01  9524·
 1985 02  1016·
 1985 03  9716.
 1985 04  320.
 1985 05  1321·
 1985 06  9919·
 1985 07  9627·
 1985 08  632·
 1985 09  2131·
 1985 10  7644.
 1985 11  3032·
 1985 12  5818·
 1986 01 8720.
 1986 02 4319·
 1986 03 2815·
 1986 04 2121.
 1986 05 732.
 1986 06 2530·
 1986 07 4829·
 1986 08 8426·
 1986 09 9821·
 1986 10 7219·
 1986 11 7237.
 1986 12 5920.
 1987 01  619·
 1987 02  5913.
 1987 03  725.
 1987 04  8430·
 1987 05  030.
 1987 06  8829·
 1987 07  8231·
 1987 08  2232.
 1987 09  7213·
 1987 10  8216.
 1987 11  5720.
 1987 12  6118·
 1988 01 445.
 1988 02 942·
 1988 03 118.
 1988 04 1323·
 1988 05 5830·
 1988 06 9729.
 1988 07 5326·
 1988 08 1836·
 1988 09 8420·
 1988 10 9327·
 1988 11 1220·
 1988 12 3720·
 1989 01  1719.
 1989 02  710·
 1989 03  479.
 1989 04  5818.
 1989 05  7415.
 1989 06  8912·
 1989 07  3821.
 1989 08  9517.
 1989 09  114·
 1989 10  1513.
 1989 11  937·
 1989 12  8510·
 1990 01 668.
 1990 02 859.
 1990 03 4310.
 1990 04 91
 1990 05 6411·
 1990 06 2515.
 1990 07 4412·
 1990 08 220·
 1990 09 1419·
 1990 10 849.
 1990 11 7815·
 1990 12 2910·
 1991 01  6010·
 1991 02  3917.
 1991 03  5316.
 1991 04  1116.
 1991 05  7117·
 1991 06  8922·
 1991 07  9913·
 1991 08  1113.
 1991 09  4111.
 1991 10  608.
 1991 11  7315.
 1991 12  1615.
 1992 01 899.
 1992 02 312·
 1992 03 5617.
 1992 04 4013·
 1992 05 6016·
 1992 06 9225.
 1992 07 5718·
 1992 08 2010.
 1992 09 2316.
 1992 10 2915.
 1992 11 517·
 1992 12 1910.
 1993 01  7111.
 1993 02  3810.
 1993 03  588·
 1993 04  2615.
 1993 05  2414·
 1993 06  7013·
 1993 07  9713·
 1993 08  5310·
 1993 09  267·
 1993 10  112.
 1993 11  3014·
 1993 12  374.
 1994 01 475.
 1994 02 304.
 1994 03 87
 1994 04 43
 1994 05 793.
 1994 06 845.
 1994 07 25
 1994 08 573.
 1994 09 447.
 1994 10 12
 1994 11 2610·
 1994 12 9312·
 1995 01  842.
 1995 02  901·
 1995 03  970·
 1995 04  881·
 1995 05  681.
 1995 06  184.
 1995 07  69
 1995 08  65·
 1995 09  921·
 1995 10  22
 1995 11  99
 1996 01 340·
 1996 02 730·
 1996 03 522·
 1996 04 684·
 1996 05 852.
 1996 06 572.
 1996 07 844·
 1996 08 843.
 1996 09 978.
 1996 10 126·
 1996 11 174·
 1996 12 772·
 1997 01  331.
 1997 02  331·
 1997 03  78
 1997 04  42·
 1997 05  815.
 1997 06  385.
 1997 07  164.
 1997 08  484·
 1997 09  545·
 1997 10  72
 1997 11  8
 1997 12  144·
 1998 01 891·
 1998 02 31.
 1998 07 532·
 1998 08 353.
 1998 09 502.
 1998 10 271·
 1998 11 77
 1998 12 672·
 1999 01  244·
 1999 02  622·
 1999 03  304·
 1999 04  915.
 1999 05  252.
 1999 08  521.
 1999 09  871·
 1999 10  153·
 1999 11  905.
 1999 12  67
 2000 05 503.
 2000 06 69
 2000 07 822.
 2000 08 02·
 2000 09 431.
 2000 10 112·
 2000 11 883.
 2000 12 716·
 2001 01  171·
 2001 02  221·
 2001 06  232·
 2001 07  241·
 2001 08  478.
 2001 09  96·
 2001 10  24
 2002 03 282.
 2002 04 330·
 2002 05 33·
 2002 06 53
 2002 07 770·
 2002 09 23.
 2002 10 621.
 2003 01  981·
 2003 02  902.
 2003 03  3
 2003 06  66
 2003 07  735.
 2003 08  123.
 2003 09  120.
 2003 10  226.
 2003 11  163·
 2004 06 111.
 2004 07 281·
 2004 08 631·
 2004 09 881.
 2004 10 820·
 2005 05  793.
 2005 07  447·
 2005 09  79
 2005 10  442·
 2005 11  132.
 2005 12  48
 2006 04 10.
 2006 05 411·
 2006 06 71.
 2006 07 800.
 2006 08 910·
 2007 01  42
 2007 02  600.
 2007 04  730·
 2007 07  13
 2007 08  410.
 2007 09  983.
 2007 12  830.
 2008 01 552.
 2008 06 582.
 2008 07 722·
 2008 08 938.
 2008 09 308·
 2008 10 363·
 2008 11 577·
 2009 01  70·
 2009 02  750.
 2009 03  450·
 2009 04  53
 2009 05  591.
 2009 06  531.
 2009 07  793.
 2009 08  85
 2009 09  40·
 2009 10  534.
 2009 11  564.
 2009 12  50.
 2010 01 250.
 2010 02 866.
 2010 03 223.
 2010 04 870.
 2010 05 280.
 2010 06 921.
 2010 07 451·
 2010 08 323.
 2010 09 450·
 2010 10 322.
 2010 11 200.
 2010 12 653·
 2011 01  323·
 2011 02  964·
 2011 03  653·
 2011 04  373.
 2011 05  71
 2011 06  95
 2011 07  250.
 2011 08  220·
 2011 09  691.
 2011 10  677.
 2011 11  689.
 2011 12  222·
 2012 01 572·
 2012 02 76
 2012 03 902·
 2012 04 62
 2012 05 920·
 2012 06 100.
 2012 07 80.
 2012 08 921.
 2012 09 550·
 2012 10 801.
 2012 11 680.
 2012 12 883·
 2013 01  540·
 2013 02  260.
 2013 03  380.
 2013 04  490·
 2013 05  190·
 2013 06  103.
 2013 07  132.
 2013 08  20·
 2013 09  83.
 2013 10  195·
 2013 11  118·
 2013 12  977·
 2014 01 24·
 2014 02 682.
 2014 03 783.
 2014 04 91·
 2014 05 83·
 2014 06 935.
 2014 07 811·
 2014 08 38
 2014 09 575·
 2014 10 573·
 2014 11 150·
 2014 12 100.
 2015 01  60.
 2015 02  507·
 2015 03  04·
 2015 04  766.
 2015 05  370.
 2015 06  821.
 2015 07  780.
 2015 08  100·
 2015 09  560.
 2015 10  930·
 2015 11  210.
 2015 12  130·
 2016 01 950.
 2016 02 450·
 2016 03 211·
 2016 04 112.
 2016 05 11
 2016 06 262·
 2016 07 970.
 2016 08 530·
 2016 09 84
 2016 10 491.
 2016 11 952.
 2016 12 160.
 2017 01  231.
 2017 02  52


 2017 03  830.
 2017 04  991.
 2017 05  591.
 2017 06  970.
 2017 07  550·
 2017 08  290.
 2017 09  470.
 2017 10  730.
 2017 11  303·
 2017 12  543.
 2018 01 700.
 2018 02 930.
 2018 03 530.
 2018 04 520.
 2018 05 35
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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, 55-64 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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