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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 27301·
 1976 07 65301·
 1976 08 80309·
 1976 09 27248.
 1976 10 81268·
 1976 11 21199.
 1976 12 28156·
 1977 01  14137.
 1977 02  70136·
 1977 03  44151·
 1977 04  46227·
 1977 05  69319·
 1977 06  44337.
 1977 07  17367.
 1977 08  47290.
 1977 09  36209.
 1977 10  80246·
 1977 11  45241.
 1977 12  67175.
 1978 01 83150·
 1978 02 77142.
 1978 03 60193·
 1978 04 71195·
 1978 05 5220.
 1978 06 60335·
 1978 07 19358·
 1978 08 47291.
 1978 09 21223·
 1978 10 80258·
 1978 11 3175·
 1978 12 6157.
 1979 01  75124.
 1979 02  13139·
 1979 03  19151·
 1979 04  87165·
 1979 05  36229·
 1979 06  59276·
 1979 07  99295.
 1979 08  54273·
 1979 09  99246.
 1979 10  43234.
 1979 11  99185.
 1979 12  93159·
 1980 01 83119.
 1980 02 15110.
 1980 03 2137.
 1980 04 18163.
 1980 05 31223·
 1980 06 52250·
 1980 07 13288.
 1980 08 66228.
 1980 09 12230.
 1980 10 53269·
 1980 11 64193.
 1980 12 1151·
 1981 01  22114.
 1981 02  43128·
 1981 03  12151·
 1981 04  10164.
 1981 05  79172.
 1981 06  74222.
 1981 07  39226·
 1981 08  6204.
 1981 09  27188·
 1981 10  21225·
 1981 11  51212·
 1981 12  28105·
 1982 01 36131.
 1982 02 83134.
 1982 03 79129·
 1982 04 37147.
 1982 05 99164·
 1982 06 87224.
 1982 07 81222.
 1982 08 23222·
 1982 09 35198·
 1982 10 82168.
 1982 11 39149.
 1982 12 97104.
 1983 01  90100.
 1983 02  44106·
 1983 03  58142·
 1983 04  98128·
 1983 05  31152.
 1983 06  75234·
 1983 07  70220·
 1983 08  88195.
 1983 09  54174.
 1983 10  97159·
 1983 11  32132·
 1983 12  56127.
 1984 01 77113·
 1984 02 64106.
 1984 03 27100·
 1984 04 15117·
 1984 05 44174·
 1984 06 49205·
 1984 07 59224·
 1984 08 1186.
 1984 09 24154·
 1984 10 53146.
 1984 11 61129.
 1984 12 79127·
 1985 01  13107.
 1985 02  196.
 1985 03  90143.
 1985 04  36121.
 1985 05  28142·
 1985 06  44138·
 1985 07  28164·
 1985 08  84146.
 1985 09  14122·
 1985 10  58129·
 1985 11  80101.
 1985 12  6389.
 1986 01 4084.
 1986 02 4277·
 1986 03 78109·
 1986 04 34103·
 1986 05 0139·
 1986 06 22145.
 1986 07 80164·
 1986 08 86140.
 1986 09 13102.
 1986 10 49119.
 1986 11 66120·
 1986 12 3178·
 1987 01  2572·
 1987 02  9765·
 1987 03  4477.
 1987 04  8100.
 1987 05  2116·
 1987 06  68124·
 1987 07  45133.
 1987 08  79120.
 1987 09  4176.
 1987 10  8680·
 1987 11  2691·
 1987 12  3283·
 1988 01 5964.
 1988 02 257.
 1988 03 6871.
 1988 04 80101.
 1988 05 2125·
 1988 06 92136·
 1988 07 78128.
 1988 08 61130.
 1988 09 3781·
 1988 10 55128·
 1988 11 8882.
 1988 12 3890.
 1989 01  6084·
 1989 02  1868·
 1989 03  5471·
 1989 04  9982·
 1989 05  9098.
 1989 06  30100.
 1989 07  58121·
 1989 08  56115.
 1989 09  7079.
 1989 10  6789.
 1989 11  779.
 1989 12  4865.
 1990 01 7048.
 1990 02 2945·
 1990 03 3166·
 1990 04 3774.
 1990 05 8479.
 1990 06 4283·
 1990 07 8983.
 1990 08 1174.
 1990 09 3071.
 1990 10 5658.
 1990 11 6163·
 1990 12 8447.
 1991 01  5461·
 1991 02  4764.
 1991 03  5476.
 1991 04  9255.
 1991 05  2598·
 1991 06  1488·
 1991 07  086.
 1991 08  071·
 1991 09  3575·
 1991 10  8477.
 1991 11  5669.
 1991 12  9559·
 1992 01 653·
 1992 02 651.
 1992 03 257.
 1992 04 8960.
 1992 05 8072.
 1992 06 57116.
 1992 07 4692.
 1992 08 2181.
 1992 09 2763·
 1992 10 3673·
 1992 11 19104.
 1992 12 5348.
 1993 01  4161·
 1993 02  6860.
 1993 03  7966·
 1993 04  7460·
 1993 05  4171·
 1993 06  595·
 1993 07  675·
 1993 08  9681.
 1993 09  7158.
 1993 10  2263·
 1993 11  763·
 1993 12  5750.
 1994 01 132·
 1994 02 1925.
 1994 03 1418.
 1994 04 2019.
 1994 05 2519.
 1994 06 2129·
 1994 07 8421.
 1994 08 7423·
 1994 09 6125·
 1994 10 7921.
 1994 11 9823.
 1994 12 3023·
 1995 01  5414·
 1995 02  687.
 1995 03  6218.
 1995 04  2725.
 1995 05  7325·
 1995 06  8829.
 1995 07  932.
 1995 08  2724.
 1995 09  1320·
 1995 10  6621.
 1995 11  9613.
 1995 12  207·
 1996 01 9112·
 1996 02 5117.
 1996 03 217·
 1996 04 1623.
 1996 05 5319·
 1996 06 1816.
 1996 07 3722.
 1996 08 5537·
 1996 09 6845·
 1996 10 6935·
 1996 11 3028·
 1996 12 9927·
 1997 01  2919·
 1997 02  283.
 1997 03  3917·
 1997 04  3620.
 1997 05  5622.
 1997 06  4723.
 1997 07  4528·
 1997 08  7923·
 1997 09  9325·
 1997 10  9941.
 1997 11  5528.
 1997 12  6621·
 1998 01 915.
 1998 02 869·
 1998 03 111·
 1998 04 6011.
 1998 05 9922·
 1998 06 3412.
 1998 07 3914·
 1998 08 4919.
 1998 09 8124.
 1998 10 9122·
 1998 11 5113·
 1998 12 458.
 1999 01  9912·
 1999 02  3513·
 1999 03  4323.
 1999 04  8615·
 1999 05  2311·
 1999 06  6520·
 1999 07  4827.
 1999 08  3628.
 1999 09  4720·
 1999 10  723.
 1999 11  2126.
 1999 12  8222·
 2000 01 9018.
 2000 02 1016.
 2000 03 4510·
 2000 04 379·
 2000 05 9615·
 2000 06 517.
 2000 07 2614·
 2000 08 3918.
 2000 09 3510.
 2000 10 3010.
 2000 11 959.
 2000 12 5112·
 2001 01  996.
 2001 02  7212·
 2001 03  10
 2001 04  618·
 2001 05  1016.
 2001 06  2818.
 2001 07  5212.
 2001 08  8123.
 2001 09  1020·
 2001 10  7313·
 2001 11  275·
 2001 12  5011·
 2002 01 6818·
 2002 02 77·
 2002 03 6812·
 2002 04 319·
 2002 05 8013.
 2002 06 5612.
 2002 07 30
 2002 08 11
 2002 09 648.
 2002 10 7011·
 2002 11 9619·
 2002 12 319·
 2003 01  6419.
 2003 02  2412·
 2003 03  7315·
 2003 04  454·
 2003 05  4912·
 2003 06  2020·
 2003 07  9133.
 2003 08  029.
 2003 09  149·
 2003 10  8211.
 2003 11  76·
 2003 12  562.
 2004 01 785·
 2004 02 603·
 2004 03 47·
 2004 04 265·
 2004 05 8412·
 2004 06 3118.
 2004 07 8820·
 2004 08 4821·
 2004 09 318·
 2004 10 9417·
 2004 11 8910·
 2004 12 849.
 2005 01  276·
 2005 02  7513.
 2005 03  6610·
 2005 04  2312.
 2005 05  7718.
 2005 06  2511.
 2005 07  028.
 2005 08  7715.
 2005 09  9616·
 2005 10  1815·
 2005 11  979.
 2005 12  845.
 2006 01 545·
 2006 02 558·
 2006 03 898·
 2006 04 7
 2006 05 4410·
 2006 06 6210.
 2006 07 3214·
 2006 08 3511.
 2006 09 863.
 2006 10 885·
 2006 11 99.
 2006 12 795·
 2007 01  247.
 2007 02  1012.
 2007 03  258.
 2007 04  7813.
 2007 05  2710.
 2007 06  27
 2007 07  1318·
 2007 08  957·
 2007 09  8919.
 2007 10  669.
 2007 11  2911.
 2007 12  189·
 2008 01 30
 2008 02 766.
 2008 03 558·
 2008 04 597.
 2008 05 9310·
 2008 06 3220·
 2008 07 9812·
 2008 08 5614.
 2008 09 4713·
 2008 10 3612·
 2008 11 8819·
 2008 12 7314·
 2009 01  8812·
 2009 02  1210.
 2009 03  8310·
 2009 04  976·
 2009 05  334·
 2009 06  1212.
 2009 07  6512·
 2009 08  405·
 2009 09  283·
 2009 10  106.
 2009 11  405·
 2009 12  426·
 2010 01 406.
 2010 02 617.
 2010 03 3913·
 2010 04 6515·
 2010 05 6521·
 2010 06 2728·
 2010 07 1925.
 2010 08 9615.
 2010 09 2211.
 2010 10 2218·
 2010 11 6313.
 2010 12 4910.
 2011 01  5411.
 2011 02  677·
 2011 03  768.
 2011 04  6212·
 2011 05  30
 2011 06  6310·
 2011 07  908·
 2011 08  9620.
 2011 09  4611.
 2011 10  3420.
 2011 11  6218·
 2011 12  428·
 2012 01 208.
 2012 02 3114.
 2012 03 7311·
 2012 04 107.
 2012 05 9620·
 2012 06 3018.
 2012 07 3125.
 2012 08 39
 2012 09 4314.
 2012 10 319·
 2012 11 662.
 2012 12 9321.
 2013 01  5611·
 2013 02  5911·
 2013 03  3616.
 2013 04  5810.
 2013 05  534·
 2013 06  6411·
 2013 07  2213·
 2013 08  487.
 2013 09  7912.
 2013 10  2316·
 2013 11  3111·
 2013 12  015.
 2014 01 314·
 2014 02 354.
 2014 03 93
 2014 04 782.
 2014 05 1918.
 2014 06 2615.
 2014 07 6715.
 2014 08 708.
 2014 09 4611·
 2014 10 469·
 2014 11 344·
 2014 12 8811.
 2015 01  2911·
 2015 02  7118.
 2015 03  9920·
 2015 04  7020·
 2015 05  3520·
 2015 06  129.
 2015 07  9612.
 2015 08  7910.
 2015 09  6110·
 2015 10  617.
 2015 11  805.
 2015 12  311·
 2016 01 247.
 2016 02 21·
 2016 03 3312·
 2016 04 548.
 2016 05 6914·
 2016 06 9916.
 2016 07 6211·
 2016 08 727.


 2016 09 657·
 2016 10 5312·
 2016 11 9911·
 2016 12 1813.
 2017 01  614.
 2017 02  8916.
 2017 03  019.
 2017 04  818·
 2017 05  129.
 2017 06  5713.
 2017 07  4615.
 2017 08  7310·
 2017 09  268.
 2017 10  331·
 2017 11  4511·
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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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