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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 3362.
 1976 07 5349·
 1976 08 3351.
 1976 09 8949·
 1976 10 5940·
 1976 11 8437·
 1976 12 933.
 1977 01  726.
 1977 02  3118·
 1977 03  9523·
 1977 04  6743·
 1977 05  550·
 1977 06  250.
 1977 07  6665·
 1977 08  2053.
 1977 09  2736.
 1977 10  4747.
 1977 11  632·
 1977 12  631·
 1978 01 4229.
 1978 02 6522·
 1978 03 4628·
 1978 04 8726·
 1978 05 4532·
 1978 06 8262·
 1978 07 4147·
 1978 08 5242.
 1978 09 5444·
 1978 10 4861·
 1978 11 7532.
 1978 12 1422·
 1979 01  1426·
 1979 02  4029·
 1979 03  5332·
 1979 04  1128·
 1979 05  9428.
 1979 06  5746·
 1979 07  847·
 1979 08  549·
 1979 09  8743.
 1979 10  2542.
 1979 11  9527.
 1979 12  8427.
 1980 01 1418·
 1980 02 9417.
 1980 03 9728.
 1980 04 6130.
 1980 05 1733·
 1980 06 3927·
 1980 07 1943·
 1980 08 7434·
 1980 09 6736·
 1980 10 6146.
 1980 11 9530.
 1980 12 8715·
 1981 01  5817·
 1981 02  8516.
 1981 03  8021.
 1981 04  8626.
 1981 05  823.
 1981 06  6338·
 1981 07  5622·
 1981 08  8528·
 1981 09  6226.
 1981 10  6839·
 1981 11  3048·
 1981 12  2110·
 1982 01 8820·
 1982 02 116.
 1982 03 3320·
 1982 04 5828·
 1982 05 8233·
 1982 06 8937.
 1982 07 2230·
 1982 08 8440.
 1982 09 6231.
 1982 10 8026.
 1982 11 7923·
 1982 12 1122·
 1983 01  7215.
 1983 02  5217·
 1983 03  1017·
 1983 04  7710·
 1983 05  8120·
 1983 06  339·
 1983 07  4745·
 1983 08  4530·
 1983 09  8538·
 1983 10  6035·
 1983 11  4626·
 1983 12  331.
 1984 01 116.
 1984 02 7219.
 1984 03 8912.
 1984 04 6315.
 1984 05 7329.
 1984 06 1631.
 1984 07 8437.
 1984 08 6530·
 1984 09 7235·
 1984 10 9132·
 1984 11 6029·
 1984 12 7023.
 1985 01  9124.
 1985 02  2416·
 1985 03  7616·
 1985 04  6720.
 1985 05  4921·
 1985 06  6319.
 1985 07  1327·
 1985 08  6832·
 1985 09  9131·
 1985 10  8544.
 1985 11  7732.
 1985 12  1218.
 1986 01 8520·
 1986 02 9119.
 1986 03 015.
 1986 04 6121.
 1986 05 2632.
 1986 06 530.
 1986 07 3929.
 1986 08 326·
 1986 09 3321·
 1986 10 7819·
 1986 11 7537·
 1986 12 5020.
 1987 01  5019·
 1987 02  8513.
 1987 03  1425.
 1987 04  4230·
 1987 05  4630.
 1987 06  2729.
 1987 07  9031.
 1987 08  4132·
 1987 09  1513.
 1987 10  2916·
 1987 11  5820.
 1987 12  3418·
 1988 01 765.
 1988 02 41
 1988 03 998·
 1988 04 3423.
 1988 05 7430·
 1988 06 4029·
 1988 07 2126.
 1988 08 8036·
 1988 09 7820.
 1988 10 2427.
 1988 11 5520.
 1988 12 3520.
 1989 01  8219.
 1989 02  2110.
 1989 03  589·
 1989 04  8618·
 1989 05  515·
 1989 06  7912.
 1989 07  1221·
 1989 08  4517.
 1989 09  9014·
 1989 10  7513.
 1989 11  227·
 1989 12  5210.
 1990 01 88·
 1990 02 8
 1990 03 2110.
 1990 04 697.
 1990 05 5311·
 1990 06 515.
 1990 07 6612.
 1990 08 8320.
 1990 09 4319.
 1990 10 159.
 1990 11 3715·
 1990 12 910.
 1991 01  2210·
 1991 02  1517.
 1991 03  4216·
 1991 04  8216·
 1991 05  6117.
 1991 06  422.
 1991 07  1313.
 1991 08  6713·
 1991 09  5211.
 1991 10  78·
 1991 11  515·
 1991 12  5215·
 1992 01 169.
 1992 02 7612·
 1992 03 117.
 1992 04 4913.
 1992 05 9616·
 1992 06 8525·
 1992 07 718·
 1992 08 9610.
 1992 09 6116·
 1992 10 3515·
 1992 11 5417.
 1992 12 5510.
 1993 01  511.
 1993 02  5210.
 1993 03  18.
 1993 04  1615.
 1993 05  4914·
 1993 06  8513.
 1993 07  2713.
 1993 08  9110·
 1993 09  357.
 1993 10  1112·
 1993 11  4014·
 1993 12  174·
 1994 01 335.
 1994 02 294·
 1994 03 72
 1994 04 580.
 1994 05 373·
 1994 06 645·
 1994 07 782.
 1994 08 13.
 1994 09 667.
 1994 10 687.
 1994 11 4210·
 1994 12 6012.
 1995 01  652·
 1995 02  161·
 1995 03  680·
 1995 04  72
 1995 05  21.
 1995 06  84·
 1995 07  905·
 1995 08  05·
 1995 09  721·
 1995 10  695·
 1995 11  633.
 1996 01 320·
 1996 02 94
 1996 03 512.
 1996 04 69
 1996 05 812·
 1996 06 12
 1996 07 274·
 1996 08 153·
 1996 09 858.
 1996 10 946.
 1996 11 994·
 1996 12 332·
 1997 01  71·
 1997 02  361·
 1997 03  923·
 1997 04  792.
 1997 05  345·
 1997 06  56
 1997 07  574.
 1997 08  354·
 1997 09  80
 1997 10  997.
 1997 11  686.
 1997 12  7
 1998 01 821.
 1998 02 341.
 1998 07 272·
 1998 08 273·
 1998 09 32·
 1998 10 541.
 1998 11 581.
 1998 12 522·
 1999 01  324.
 1999 02  792·
 1999 03  124.
 1999 04  635.
 1999 05  802.
 1999 08  531.
 1999 09  64
 1999 10  673.
 1999 11  875.
 1999 12  453.
 2000 05 163.
 2000 06 962.
 2000 07 142.
 2000 08 502·
 2000 09 911·
 2000 10 62.
 2000 11 503·
 2000 12 866·
 2001 01  411·
 2001 02  801.
 2001 06  8
 2001 07  981·
 2001 08  418.
 2001 09  226·
 2001 10  250.
 2002 03 542·
 2002 04 910.
 2002 05 663·
 2002 06 643.
 2002 07 500.
 2002 09 173.
 2002 10 681·
 2003 01  141·
 2003 02  32·
 2003 03  693.
 2003 06  91·
 2003 07  87
 2003 08  593.
 2003 09  220·
 2003 10  966.
 2003 11  213.
 2004 06 861.
 2004 07 78
 2004 08 61
 2004 09 79
 2004 10 780·
 2005 05  603.
 2005 07  617.
 2005 09  492·
 2005 10  552.
 2005 11  212.
 2005 12  762.
 2006 04 440·
 2006 05 61
 2006 06 341.
 2006 07 150.
 2006 08 10.
 2007 01  640·
 2007 02  10·
 2007 04  70.
 2007 07  843.
 2007 08  600.
 2007 09  463.
 2007 12  110.
 2008 01 802·
 2008 06 672.
 2008 07 212.
 2008 08 78·
 2008 09 2
 2008 10 29
 2008 11 17·
 2009 01  20·
 2009 02  890.
 2009 03  150·
 2009 04  850·
 2009 05  281·
 2009 06  31·
 2009 07  213.
 2009 08  00.
 2009 09  420.
 2009 10  314.
 2009 11  634·
 2009 12  960.
 2010 01 250·
 2010 02 886·
 2010 03 883·
 2010 04 480.
 2010 05 840·
 2010 06 101·
 2010 07 641·
 2010 08 563.
 2010 09 500.
 2010 10 612.
 2010 11 850.
 2010 12 473.
 2011 01  81
 2011 02  294.
 2011 03  703·
 2011 04  70
 2011 05  570.
 2011 06  260.
 2011 07  640.
 2011 08  00·
 2011 09  851·
 2011 10  907.
 2011 11  35
 2011 12  392·
 2012 01 972·
 2012 02 842.
 2012 03 782.
 2012 04 110·
 2012 05 510·
 2012 06 970·
 2012 07 110.
 2012 08 671·
 2012 09 26
 2012 10 411.
 2012 11 800.
 2012 12 823.
 2013 01  300.
 2013 02  530·
 2013 03  530.
 2013 04  58
 2013 05  950·
 2013 06  973.
 2013 07  242.
 2013 08  180·
 2013 09  773.
 2013 10  615·
 2013 11  138.
 2013 12  137.
 2014 01 584.
 2014 02 57
 2014 03 633·
 2014 04 201·
 2014 05 453·
 2014 06 245·
 2014 07 441·
 2014 08 381·
 2014 09 685·
 2014 10 243.
 2014 11 490.
 2014 12 920.
 2015 01  860.
 2015 02  467·
 2015 03  99
 2015 04  346.
 2015 05  79
 2015 06  11.
 2015 07  360·
 2015 08  38
 2015 09  540·
 2015 10  290.
 2015 11  310.
 2015 12  50·
 2016 01 420.
 2016 02 910·
 2016 03 781·
 2016 04 602·
 2016 05 12·
 2016 06 762·
 2016 07 950.
 2016 08 530.
 2016 09 120·
 2016 10 971.
 2016 11 262.
 2016 12 61
 2017 01  821·
 2017 02  920.
 2017 03  420.
 2017 04  831.
 2017 05  41


 2017 06  220.
 2017 07  350·
 2017 08  440·
 2017 09  480.
 2017 10  780.
 2017 11  263.
 2017 12  963.
 2018 01 830.
 2018 02 700·
 2018 03 570.
 2018 04 140.
 2018 05 540.
 2018 06 38
 2018 07 990.
 2018 08 97
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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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