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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 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 29301.
 1976 07 50301.
 1976 08 43309.
 1976 09 29248.
 1976 10 53268.
 1976 11 62199·
 1976 12 8156.
 1977 01  69137.
 1977 02  5136·
 1977 03  35151.
 1977 04  36227·
 1977 05  70319.
 1977 06  37337.
 1977 07  51367.
 1977 08  41290.
 1977 09  77209.
 1977 10  24246·
 1977 11  16241.
 1977 12  59175.
 1978 01 58150.
 1978 02 65142.
 1978 03 62193.
 1978 04 55195·
 1978 05 8220.
 1978 06 87335·
 1978 07 45358.
 1978 08 16291.
 1978 09 45223·
 1978 10 40258.
 1978 11 48175·
 1978 12 54157.
 1979 01  14124·
 1979 02  99139.
 1979 03  76151.
 1979 04  9165·
 1979 05  84229·
 1979 06  64276·
 1979 07  62295·
 1979 08  42273.
 1979 09  50246.
 1979 10  62234·
 1979 11  62185·
 1979 12  41159.
 1980 01 30119.
 1980 02 42110.
 1980 03 57137.
 1980 04 20163·
 1980 05 68223·
 1980 06 79250·
 1980 07 55288.
 1980 08 17228.
 1980 09 33230.
 1980 10 75269.
 1980 11 87193·
 1980 12 93151·
 1981 01  21114·
 1981 02  54128·
 1981 03  10151·
 1981 04  38164·
 1981 05  49172.
 1981 06  67222.
 1981 07  5226·
 1981 08  63204.
 1981 09  62188.
 1981 10  90225.
 1981 11  78212.
 1981 12  8105·
 1982 01 30131·
 1982 02 22134·
 1982 03 63129.
 1982 04 34147·
 1982 05 45164.
 1982 06 89224·
 1982 07 15222·
 1982 08 30222.
 1982 09 28198·
 1982 10 42168·
 1982 11 15149·
 1982 12 8104.
 1983 01  23100.
 1983 02  56106·
 1983 03  71142.
 1983 04  7128.
 1983 05  98152.
 1983 06  30234·
 1983 07  14220·
 1983 08  89195·
 1983 09  49174·
 1983 10  92159.
 1983 11  1132.
 1983 12  43127.
 1984 01 93113.
 1984 02 90106·
 1984 03 14100.
 1984 04 80117·
 1984 05 75174·
 1984 06 1205.
 1984 07 58224·
 1984 08 40186·
 1984 09 64154.
 1984 10 25146·
 1984 11 66129·
 1984 12 84127.
 1985 01  55107·
 1985 02  8796·
 1985 03  95143·
 1985 04  1121.
 1985 05  67142·
 1985 06  38138·
 1985 07  25164·
 1985 08  4146·
 1985 09  43122·
 1985 10  52129·
 1985 11  64101·
 1985 12  3189·
 1986 01 5384.
 1986 02 3177.
 1986 03 43109·
 1986 04 43103·
 1986 05 91139·
 1986 06 0145·
 1986 07 20164·
 1986 08 31140·
 1986 09 76102·
 1986 10 9119·
 1986 11 75120·
 1986 12 578.
 1987 01  5272·
 1987 02  3465.
 1987 03  1477·
 1987 04  5100.
 1987 05  89116.
 1987 06  74124.
 1987 07  71133·
 1987 08  92120·
 1987 09  8076.
 1987 10  5680·
 1987 11  291.
 1987 12  5683.
 1988 01 4564.
 1988 02 2957.
 1988 03 8771.
 1988 04 8101·
 1988 05 27125·
 1988 06 70136·
 1988 07 34128·
 1988 08 87130.
 1988 09 9781.
 1988 10 78128·
 1988 11 7582.
 1988 12 5690.
 1989 01  4784.
 1989 02  7968.
 1989 03  6571.
 1989 04  282.
 1989 05  9898·
 1989 06  24100·
 1989 07  87121·
 1989 08  39115·
 1989 09  9379·
 1989 10  8789·
 1989 11  4879·
 1989 12  365·
 1990 01 248·
 1990 02 6945·
 1990 03 7866.
 1990 04 5974·
 1990 05 1979.
 1990 06 9583.
 1990 07 3583.
 1990 08 9474.
 1990 09 6271.
 1990 10 1758·
 1990 11 163·
 1990 12 2147.
 1991 01  7661.
 1991 02  864·
 1991 03  8176·
 1991 04  7755.
 1991 05  3098·
 1991 06  7188.
 1991 07  886.
 1991 08  2771.
 1991 09  1875.
 1991 10  2977·
 1991 11  3869.
 1991 12  5759.
 1992 01 6053·
 1992 02 3451.
 1992 03 5257.
 1992 04 8060.
 1992 05 9972.
 1992 06 60116.
 1992 07 5892·
 1992 08 3581.
 1992 09 563·
 1992 10 973.
 1992 11 87104·
 1992 12 8448.
 1993 01  7261.
 1993 02  660·
 1993 03  9666.
 1993 04  1560.
 1993 05  1971.
 1993 06  095·
 1993 07  6775.
 1993 08  4181.
 1993 09  8958·
 1993 10  6863·
 1993 11  563·
 1993 12  150.
 1994 01 5332·
 1994 02 925.
 1994 03 4318.
 1994 04 5619·
 1994 05 419.
 1994 06 5029.
 1994 07 3721.
 1994 08 9523·
 1994 09 6225·
 1994 10 4021.
 1994 11 6923·
 1994 12 3023·
 1995 01  7014·
 1995 02  55
 1995 03  4618·
 1995 04  025.
 1995 05  9825·
 1995 06  9529·
 1995 07  9832.
 1995 08  6724.
 1995 09  4020·
 1995 10  8621.
 1995 11  8413·
 1995 12  207.
 1996 01 1512.
 1996 02 7917.
 1996 03 8417.
 1996 04 7023·
 1996 05 6719·
 1996 06 4716·
 1996 07 622·
 1996 08 5737·
 1996 09 6545·
 1996 10 9335.
 1996 11 8028·
 1996 12 4327.
 1997 01  419·
 1997 02  413.
 1997 03  6317.
 1997 04  1520.
 1997 05  322·
 1997 06  4123.
 1997 07  3828.
 1997 08  8823.
 1997 09  525·
 1997 10  7041.
 1997 11  1028.
 1997 12  9821.
 1998 01 8015·
 1998 02 27
 1998 03 1111.
 1998 04 811·
 1998 05 2222·
 1998 06 3812·
 1998 07 9914·
 1998 08 719·
 1998 09 5024.
 1998 10 5322·
 1998 11 5413.
 1998 12 78·
 1999 01  912·
 1999 02  4813.
 1999 03  8323.
 1999 04  4715.
 1999 05  6711.
 1999 06  2320·
 1999 07  1927·
 1999 08  8828·
 1999 09  1920.
 1999 10  323·
 1999 11  1626.
 1999 12  2022.
 2000 01 8318·
 2000 02 3916.
 2000 03 5810.
 2000 04 549·
 2000 05 415·
 2000 06 67.
 2000 07 5114.
 2000 08 2918·
 2000 09 5110·
 2000 10 410·
 2000 11 269.
 2000 12 812·
 2001 01  19
 2001 02  6012.
 2001 03  416.
 2001 04  788.
 2001 05  2516.
 2001 06  2318·
 2001 07  7612·
 2001 08  5323.
 2001 09  1520.
 2001 10  6913.
 2001 11  385.
 2001 12  7011.
 2002 01 5818.
 2002 02 98
 2002 03 6012·
 2002 04 929.
 2002 05 4713.
 2002 06 3512·
 2002 07 976.
 2002 08 74.
 2002 09 38·
 2002 10 3211·
 2002 11 3119.
 2002 12 2819.
 2003 01  6819·
 2003 02  6212·
 2003 03  6915·
 2003 04  934.
 2003 05  1212·
 2003 06  2820·
 2003 07  4333.
 2003 08  6529.
 2003 09  30
 2003 10  5311.
 2003 11  96·
 2003 12  322.
 2004 01 405.
 2004 02 893.
 2004 03 497·
 2004 04 65.
 2004 05 8612·
 2004 06 1118·
 2004 07 7020.
 2004 08 2621·
 2004 09 3918·
 2004 10 1917.
 2004 11 210.
 2004 12 549·
 2005 01  916·
 2005 02  3913.
 2005 03  410.
 2005 04  7812·
 2005 05  6218·
 2005 06  2011.
 2005 07  5628·
 2005 08  1115.
 2005 09  9616.
 2005 10  3915·
 2005 11  659·
 2005 12  915.
 2006 01 635·
 2006 02 968.
 2006 03 628·
 2006 04 814.
 2006 05 5510.
 2006 06 1710·
 2006 07 514.
 2006 08 6911·
 2006 09 943.
 2006 10 515·
 2006 11 759·
 2006 12 685.
 2007 01  227·
 2007 02  7312·
 2007 03  788.
 2007 04  1513.
 2007 05  910·
 2007 06  867.
 2007 07  4718.
 2007 08  747·
 2007 09  4919.
 2007 10  139.
 2007 11  3811·
 2007 12  319.
 2008 01 618·
 2008 02 56·
 2008 03 328·
 2008 04 27·
 2008 05 8910·
 2008 06 3720·
 2008 07 3712·
 2008 08 2214.
 2008 09 213·
 2008 10 1112·
 2008 11 8319·
 2008 12 5514·
 2009 01  9512.
 2009 02  5110·
 2009 03  2810·
 2009 04  906.
 2009 05  874.
 2009 06  812·
 2009 07  5212.
 2009 08  385.
 2009 09  223.
 2009 10  576·
 2009 11  645.
 2009 12  37
 2010 01 686.
 2010 02 9817·
 2010 03 9413.
 2010 04 5215.
 2010 05 2121·
 2010 06 5728.
 2010 07 9925.
 2010 08 6815.
 2010 09 9911.
 2010 10 8518·
 2010 11 6113.
 2010 12 110.
 2011 01  4611·
 2011 02  567.
 2011 03  868.
 2011 04  8612·
 2011 05  329·
 2011 06  7110.
 2011 07  68·
 2011 08  8820·
 2011 09  5011·
 2011 10  5620·
 2011 11  7718·
 2011 12  938.
 2012 01 208·
 2012 02 6114.
 2012 03 8211.
 2012 04 167.
 2012 05 8620·
 2012 06 6118.
 2012 07 2725·
 2012 08 939.
 2012 09 1714·
 2012 10 569·
 2012 11 432.
 2012 12 8821.
 2013 01  811·
 2013 02  7311·
 2013 03  8716·
 2013 04  8910·
 2013 05  764.
 2013 06  6111.
 2013 07  4113.
 2013 08  87.
 2013 09  6712·
 2013 10  9516·
 2013 11  1211.
 2013 12  8315.
 2014 01 5014·
 2014 02 774.
 2014 03 304.
 2014 04 782.
 2014 05 1918.
 2014 06 3215.
 2014 07 5415.
 2014 08 808.
 2014 09 9211·
 2014 10 99·
 2014 11 634.
 2014 12 211.
 2015 01  1511.
 2015 02  8518.
 2015 03  6620·
 2015 04  8220.
 2015 05  5620·
 2015 06  6029·
 2015 07  9312·
 2015 08  8310.
 2015 09  910.
 2015 10  597.
 2015 11  25.
 2015 12  9211.
 2016 01 937·
 2016 02 321·
 2016 03 7412.
 2016 04 23
 2016 05 5414·
 2016 06 5516.
 2016 07 1511·
 2016 08 147·
 2016 09 587.
 2016 10 2912.
 2016 11 5711·
 2016 12 2713·
 2017 01  214·
 2017 02  7816.
 2017 03  5719.
 2017 04  508·
 2017 05  49.


 2017 06  5413.
 2017 07  9715.
 2017 08  9610.
 2017 09  88·
 2017 10  311·
 2017 11  8211.
 2017 12  49.
 2018 01 849.
 2018 02 915.
 2018 03 462.
 2018 04 3511.
 2018 05 2410·
 2018 06 1621·
 2018 07 447.
 2018 08 7910·
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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

Input your search text below.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 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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