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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 55-64 years, Women: NSA
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 1976 06 262·
 1976 07 1449.
 1976 08 6351·
 1976 09 2149·
 1976 10 8340.
 1976 11 4637·
 1976 12 1033.
 1977 01  626·
 1977 02  4218·
 1977 03  8823.
 1977 04  7043.
 1977 05  250·
 1977 06  3150·
 1977 07  2365·
 1977 08  5753·
 1977 09  5336·
 1977 10  2547·
 1977 11  5832.
 1977 12  831·
 1978 01 2829.
 1978 02 2322.
 1978 03 2328.
 1978 04 8626·
 1978 05 2332·
 1978 06 5262·
 1978 07 7647·
 1978 08 7842·
 1978 09 5444·
 1978 10 6261.
 1978 11 9832·
 1978 12 9922·
 1979 01  6826·
 1979 02  2829·
 1979 03  9632·
 1979 04  8528.
 1979 05  3328.
 1979 06  5146.
 1979 07  147.
 1979 08  049.
 1979 09  4343.
 1979 10  5542.
 1979 11  7127.
 1979 12  3227·
 1980 01 1718.
 1980 02 9217·
 1980 03 8628·
 1980 04 9330·
 1980 05 033.
 1980 06 3727·
 1980 07 5343·
 1980 08 2134·
 1980 09 6036.
 1980 10 8946·
 1980 11 530·
 1980 12 8015·
 1981 01  9217.
 1981 02  7616·
 1981 03  9721.
 1981 04  5626·
 1981 05  1523.
 1981 06  4638.
 1981 07  1122.
 1981 08  6428.
 1981 09  7326·
 1981 10  7539.
 1981 11  5548·
 1981 12  4010·
 1982 01 3520·
 1982 02 6516.
 1982 03 5920·
 1982 04 4928·
 1982 05 9533.
 1982 06 3937.
 1982 07 8030.
 1982 08 7740·
 1982 09 7231·
 1982 10 4926·
 1982 11 023·
 1982 12 3722.
 1983 01  1215.
 1983 02  6917·
 1983 03  2617.
 1983 04  6810·
 1983 05  8120·
 1983 06  139.
 1983 07  8845·
 1983 08  3230.
 1983 09  7638.
 1983 10  7035·
 1983 11  4526.
 1983 12  1831.
 1984 01 1516·
 1984 02 2519·
 1984 03 7712·
 1984 04 3715.
 1984 05 4129.
 1984 06 4331.
 1984 07 9137.
 1984 08 2930·
 1984 09 2635.
 1984 10 2432·
 1984 11 1829·
 1984 12 5523·
 1985 01  6124.
 1985 02  9316.
 1985 03  1616.
 1985 04  420.
 1985 05  6721·
 1985 06  119·
 1985 07  6627·
 1985 08  8932.
 1985 09  8831·
 1985 10  2244·
 1985 11  7532·
 1985 12  4818·
 1986 01 9220·
 1986 02 5819·
 1986 03 7415.
 1986 04 4321.
 1986 05 7432.
 1986 06 3430·
 1986 07 1929·
 1986 08 6226·
 1986 09 5421.
 1986 10 019.
 1986 11 9437·
 1986 12 1820·
 1987 01  7519·
 1987 02  3213.
 1987 03  325·
 1987 04  5030·
 1987 05  630·
 1987 06  2929·
 1987 07  8031·
 1987 08  2032.
 1987 09  4213·
 1987 10  1816.
 1987 11  7920.
 1987 12  1518·
 1988 01 15.
 1988 02 492·
 1988 03 84
 1988 04 5023.
 1988 05 2830.
 1988 06 9629·
 1988 07 126.
 1988 08 6136.
 1988 09 9220·
 1988 10 6127·
 1988 11 6120·
 1988 12 1120·
 1989 01  8719.
 1989 02  7010.
 1989 03  219·
 1989 04  9018·
 1989 05  3315.
 1989 06  7112.
 1989 07  6321·
 1989 08  817.
 1989 09  7314·
 1989 10  4113.
 1989 11  937.
 1989 12  510.
 1990 01 768.
 1990 02 809·
 1990 03 4310.
 1990 04 437.
 1990 05 3711.
 1990 06 1415.
 1990 07 7012.
 1990 08 1020.
 1990 09 7419.
 1990 10 929.
 1990 11 5415.
 1990 12 1810·
 1991 01  3310·
 1991 02  9117.
 1991 03  416.
 1991 04  716·
 1991 05  8217.
 1991 06  1022·
 1991 07  5013·
 1991 08  3813·
 1991 09  1511·
 1991 10  768·
 1991 11  5015·
 1991 12  015·
 1992 01 519·
 1992 02 3712·
 1992 03 8417.
 1992 04 613·
 1992 05 3516.
 1992 06 7125.
 1992 07 6018·
 1992 08 9310·
 1992 09 3516.
 1992 10 7715.
 1992 11 817.
 1992 12 2410·
 1993 01  4611.
 1993 02  8010.
 1993 03  878·
 1993 04  8715·
 1993 05  8714·
 1993 06  3113.
 1993 07  7713·
 1993 08  9510·
 1993 09  37·
 1993 10  612.
 1993 11  8414·
 1993 12  874·
 1994 01 615.
 1994 02 54·
 1994 03 421.
 1994 04 240.
 1994 05 573·
 1994 06 525.
 1994 07 52·
 1994 08 943.
 1994 09 97·
 1994 10 997.
 1994 11 5710·
 1994 12 1212·
 1995 01  612.
 1995 02  221.
 1995 03  3
 1995 04  141.
 1995 05  841·
 1995 06  194.
 1995 07  765·
 1995 08  635.
 1995 09  701·
 1995 10  175·
 1995 11  313.
 1996 01 48
 1996 02 400·
 1996 03 662.
 1996 04 51
 1996 05 802·
 1996 06 36
 1996 07 424·
 1996 08 413·
 1996 09 99
 1996 10 296.
 1996 11 454·
 1996 12 352·
 1997 01  67
 1997 02  131.
 1997 03  03·
 1997 04  882.
 1997 05  725.
 1997 06  65.
 1997 07  574.
 1997 08  824.
 1997 09  265.
 1997 10  537.
 1997 11  936.
 1997 12  244.
 1998 01 681.
 1998 02 221.
 1998 07 72.
 1998 08 453.
 1998 09 612·
 1998 10 91.
 1998 11 251.
 1998 12 22·
 1999 01  924·
 1999 02  322.
 1999 03  974·
 1999 04  765.
 1999 05  742·
 1999 08  351·
 1999 09  991·
 1999 10  753.
 1999 11  455.
 1999 12  873.
 2000 05 313.
 2000 06 302.
 2000 07 692.
 2000 08 842·
 2000 09 181.
 2000 10 972.
 2000 11 323.
 2000 12 426.
 2001 01  111·
 2001 02  591·
 2001 06  482.
 2001 07  81.
 2001 08  858·
 2001 09  216·
 2001 10  56
 2002 03 502.
 2002 04 410.
 2002 05 163.
 2002 06 163·
 2002 07 620.
 2002 09 33·
 2002 10 01.
 2003 01  191·
 2003 02  632.
 2003 03  233.
 2003 06  541.
 2003 07  755·
 2003 08  983.
 2003 09  760·
 2003 10  866.
 2003 11  243·
 2004 06 351.
 2004 07 62
 2004 08 271.
 2004 09 281.
 2004 10 690.
 2005 05  73.
 2005 07  34
 2005 09  762.
 2005 10  18
 2005 11  602·
 2005 12  882·
 2006 04 790·
 2006 05 281·
 2006 06 981.
 2006 07 960.
 2006 08 760.
 2007 01  670.
 2007 02  200·
 2007 04  890.
 2007 07  303·
 2007 08  290.
 2007 09  533.
 2007 12  250·
 2008 01 29
 2008 06 342·
 2008 07 46
 2008 08 84
 2008 09 858·
 2008 10 253.
 2008 11 747.
 2009 01  740.
 2009 02  37
 2009 03  720.
 2009 04  390.
 2009 05  261.
 2009 06  471.
 2009 07  683.
 2009 08  660·
 2009 09  970.
 2009 10  34.
 2009 11  344.
 2009 12  5
 2010 01 690·
 2010 02 186·
 2010 03 133.
 2010 04 310.
 2010 05 470·
 2010 06 301·
 2010 07 741·
 2010 08 453.
 2010 09 640.
 2010 10 22·
 2010 11 110·
 2010 12 73
 2011 01  773.
 2011 02  224.
 2011 03  443.
 2011 04  633.
 2011 05  660·
 2011 06  30·
 2011 07  170.
 2011 08  930.
 2011 09  391·
 2011 10  827·
 2011 11  989·
 2011 12  622.
 2012 01 272.
 2012 02 232.
 2012 03 822·
 2012 04 960·
 2012 05 880·
 2012 06 130·
 2012 07 89
 2012 08 461.
 2012 09 10·
 2012 10 651·
 2012 11 620·
 2012 12 853·
 2013 01  750·
 2013 02  170·
 2013 03  700·
 2013 04  160·
 2013 05  410.
 2013 06  33
 2013 07  72.
 2013 08  630·
 2013 09  553.
 2013 10  995·
 2013 11  948·
 2013 12  77
 2014 01 04.
 2014 02 292.
 2014 03 733.
 2014 04 331·
 2014 05 813·
 2014 06 615·
 2014 07 141·
 2014 08 311.
 2014 09 30
 2014 10 573.
 2014 11 110.
 2014 12 970.
 2015 01  50.
 2015 02  67.
 2015 03  834.
 2015 04  82
 2015 05  860.
 2015 06  201.
 2015 07  750·
 2015 08  600.
 2015 09  810.
 2015 10  380·
 2015 11  550·
 2015 12  33
 2016 01 200.
 2016 02 210·
 2016 03 181.
 2016 04 242.
 2016 05 612.
 2016 06 592.


 2016 07 830·
 2016 08 860.
 2016 09 860.
 2016 10 631.
 2016 11 93
 2016 12 930·
 2017 01  01.
 2017 02  730.
 2017 03  19
 2017 04  461.
 2017 05  351.
 2017 06  500·
 2017 07  540.
 2017 08  690.
 2017 09  49
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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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