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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 6662.
 1976 07 749·
 1976 08 051.
 1976 09 7149·
 1976 10 7440·
 1976 11 6137·
 1976 12 9033·
 1977 01  4426.
 1977 02  9318.
 1977 03  5823.
 1977 04  2443.
 1977 05  6050.
 1977 06  7150·
 1977 07  7865·
 1977 08  1653.
 1977 09  6236.
 1977 10  8647.
 1977 11  2932.
 1977 12  431.
 1978 01 2029·
 1978 02 3722.
 1978 03 4228.
 1978 04 5026.
 1978 05 2732·
 1978 06 5062.
 1978 07 7447.
 1978 08 4242·
 1978 09 444·
 1978 10 7561.
 1978 11 732.
 1978 12 9322·
 1979 01  9426.
 1979 02  8729·
 1979 03  4632·
 1979 04  4128.
 1979 05  6528.
 1979 06  8746·
 1979 07  2447.
 1979 08  4949·
 1979 09  1443.
 1979 10  042.
 1979 11  9727·
 1979 12  527·
 1980 01 5818·
 1980 02 7717·
 1980 03 4828·
 1980 04 2230·
 1980 05 4133·
 1980 06 9327·
 1980 07 8243.
 1980 08 3734.
 1980 09 3436.
 1980 10 4846·
 1980 11 3130·
 1980 12 1315.
 1981 01  2917.
 1981 02  6816·
 1981 03  5221·
 1981 04  3926.
 1981 05  4623·
 1981 06  338·
 1981 07  2722·
 1981 08  2828.
 1981 09  3026·
 1981 10  2839·
 1981 11  6248.
 1981 12  1610·
 1982 01 4920.
 1982 02 4516.
 1982 03 8920·
 1982 04 6728.
 1982 05 9833.
 1982 06 7837.
 1982 07 6430.
 1982 08 6940·
 1982 09 9531·
 1982 10 7826·
 1982 11 6923.
 1982 12 3522·
 1983 01  8515·
 1983 02  2017·
 1983 03  1117·
 1983 04  310·
 1983 05  3720·
 1983 06  439.
 1983 07  2245·
 1983 08  3530·
 1983 09  4538.
 1983 10  5635.
 1983 11  5726·
 1983 12  2031·
 1984 01 2816.
 1984 02 2719.
 1984 03 9912.
 1984 04 7015·
 1984 05 3129.
 1984 06 9131.
 1984 07 5537.
 1984 08 2430.
 1984 09 2235·
 1984 10 4932·
 1984 11 5529·
 1984 12 4323.
 1985 01  9624·
 1985 02  2716·
 1985 03  5716·
 1985 04  1720·
 1985 05  7121·
 1985 06  7419.
 1985 07  4227.
 1985 08  5732.
 1985 09  9331·
 1985 10  6744.
 1985 11  1732.
 1985 12  218·
 1986 01 3020.
 1986 02 619.
 1986 03 1415.
 1986 04 1521.
 1986 05 7532·
 1986 06 1530·
 1986 07 8929.
 1986 08 8426·
 1986 09 5021·
 1986 10 4619·
 1986 11 2337.
 1986 12 2120.
 1987 01  9619.
 1987 02  7413.
 1987 03  2425.
 1987 04  6530·
 1987 05  8530.
 1987 06  9929.
 1987 07  2331·
 1987 08  7732·
 1987 09  913.
 1987 10  4616.
 1987 11  7720.
 1987 12  4718·
 1988 01 885·
 1988 02 672.
 1988 03 678·
 1988 04 8723.
 1988 05 6630·
 1988 06 3629.
 1988 07 126.
 1988 08 3536·
 1988 09 1220·
 1988 10 5327·
 1988 11 820·
 1988 12 5420·
 1989 01  2019.
 1989 02  4510.
 1989 03  489·
 1989 04  3118.
 1989 05  1015.
 1989 06  6112.
 1989 07  021.
 1989 08  8017·
 1989 09  2614.
 1989 10  7813.
 1989 11  717·
 1989 12  3910·
 1990 01 368.
 1990 02 949·
 1990 03 9410.
 1990 04 707·
 1990 05 3611.
 1990 06 3715.
 1990 07 2412·
 1990 08 6120·
 1990 09 4319.
 1990 10 559·
 1990 11 4515.
 1990 12 2510·
 1991 01  310.
 1991 02  2517.
 1991 03  6116.
 1991 04  116.
 1991 05  8317.
 1991 06  4722·
 1991 07  513.
 1991 08  5013·
 1991 09  8011.
 1991 10  468.
 1991 11  3315.
 1991 12  6215·
 1992 01 119.
 1992 02 7212·
 1992 03 2817.
 1992 04 4813.
 1992 05 2016.
 1992 06 225.
 1992 07 9518·
 1992 08 4610·
 1992 09 7816·
 1992 10 3515·
 1992 11 6617.
 1992 12 2010.
 1993 01  7711·
 1993 02  9710.
 1993 03  998·
 1993 04  5815.
 1993 05  3814·
 1993 06  3913.
 1993 07  7413·
 1993 08  7210·
 1993 09  4
 1993 10  3512·
 1993 11  9814.
 1993 12  04·
 1994 01 455.
 1994 02 864.
 1994 03 31.
 1994 04 50.
 1994 05 543.
 1994 06 175·
 1994 07 462·
 1994 08 753·
 1994 09 507.
 1994 10 797.
 1994 11 810·
 1994 12 2312·
 1995 01  792·
 1995 02  471.
 1995 03  950.
 1995 04  871.
 1995 05  91.
 1995 06  22
 1995 07  415·
 1995 08  295.
 1995 09  331.
 1995 10  29
 1995 11  03·
 1996 01 380.
 1996 02 720.
 1996 03 182.
 1996 04 554.
 1996 05 26
 1996 06 702·
 1996 07 654·
 1996 08 123.
 1996 09 328.
 1996 10 956·
 1996 11 704·
 1996 12 32.
 1997 01  181·
 1997 02  421·
 1997 03  593·
 1997 04  852.
 1997 05  725·
 1997 06  295.
 1997 07  814.
 1997 08  404.
 1997 09  75.
 1997 10  27·
 1997 11  13
 1997 12  734.
 1998 01 61
 1998 02 29
 1998 07 552.
 1998 08 173.
 1998 09 962·
 1998 10 4
 1998 11 311.
 1998 12 282·
 1999 01  24.
 1999 02  46
 1999 03  934·
 1999 04  885.
 1999 05  892.
 1999 08  01·
 1999 09  161.
 1999 10  33.
 1999 11  985.
 1999 12  353.
 2000 05 13.
 2000 06 62.
 2000 07 892.
 2000 08 452.
 2000 09 72
 2000 10 522.
 2000 11 523.
 2000 12 486.
 2001 01  791.
 2001 02  241·
 2001 06  992.
 2001 07  901·
 2001 08  08·
 2001 09  276·
 2001 10  680.
 2002 03 392.
 2002 04 330.
 2002 05 953.
 2002 06 223·
 2002 07 890·
 2002 09 43.
 2002 10 83
 2003 01  481.
 2003 02  602.
 2003 03  643.
 2003 06  731.
 2003 07  605.
 2003 08  953.
 2003 09  880.
 2003 10  716.
 2003 11  963.
 2004 06 651.
 2004 07 771·
 2004 08 101·
 2004 09 181.
 2004 10 620.
 2005 05  553·
 2005 07  457·
 2005 09  152.
 2005 10  62·
 2005 11  732·
 2005 12  60
 2006 04 990·
 2006 05 421·
 2006 06 71·
 2006 07 590.
 2006 08 80.
 2007 01  380·
 2007 02  570·
 2007 04  750·
 2007 07  53.
 2007 08  880.
 2007 09  483.
 2007 12  650·
 2008 01 782.
 2008 06 122·
 2008 07 312.
 2008 08 108.
 2008 09 408.
 2008 10 543·
 2008 11 817.
 2009 01  160.
 2009 02  280·
 2009 03  830.
 2009 04  990·
 2009 05  161.
 2009 06  61·
 2009 07  933.
 2009 08  90.
 2009 09  66
 2009 10  614.
 2009 11  44.
 2009 12  630·
 2010 01 470·
 2010 02 76.
 2010 03 583.
 2010 04 350·
 2010 05 670.
 2010 06 811·
 2010 07 261.
 2010 08 273·
 2010 09 570.
 2010 10 472.
 2010 11 20·
 2010 12 633.
 2011 01  743.
 2011 02  914·
 2011 03  53·
 2011 04  933·
 2011 05  980·
 2011 06  270.
 2011 07  780.
 2011 08  940.
 2011 09  381.
 2011 10  937.
 2011 11  929·
 2011 12  662·
 2012 01 242.
 2012 02 522.
 2012 03 402.
 2012 04 340.
 2012 05 130·
 2012 06 910.
 2012 07 410·
 2012 08 481.
 2012 09 870·
 2012 10 241.
 2012 11 390·
 2012 12 843·
 2013 01  53
 2013 02  880.
 2013 03  40·
 2013 04  420.
 2013 05  410.
 2013 06  463.
 2013 07  302·
 2013 08  480.
 2013 09  103.
 2013 10  875.
 2013 11  368.
 2013 12  517.
 2014 01 394.
 2014 02 232.
 2014 03 663.
 2014 04 281.
 2014 05 373·
 2014 06 915.
 2014 07 901·
 2014 08 79
 2014 09 34
 2014 10 563·
 2014 11 00·
 2014 12 290·
 2015 01  880.
 2015 02  47·
 2015 03  174·
 2015 04  296·
 2015 05  790.
 2015 06  491·
 2015 07  850.
 2015 08  530.
 2015 09  15
 2015 10  28
 2015 11  72
 2015 12  30.
 2016 01 270·
 2016 02 40.
 2016 03 731.
 2016 04 32·
 2016 05 722·
 2016 06 662·
 2016 07 80.
 2016 08 50.


 2016 09 320·
 2016 10 271.
 2016 11 192.
 2016 12 830.
 2017 01  131.
 2017 02  230.
 2017 03  77
 2017 04  381.
 2017 05  461·
 2017 06  180·
 2017 07  750·
 2017 08  950.
 2017 09  890.
 2017 10  00·
 2017 11  333.
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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
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