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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 9420·
 2012 03 2216·
 2012 02 9111.
 2012 01 8910.
 2011 12  317.
 2011 11  3415·
 2011 10  1614.
 2011 09  2522·
 2011 08  9126·
 2011 07  013.
 2011 06  9826·
 2011 05  1721·
 2011 04  2421·
 2011 03  310.
 2011 02  518·
 2011 01  77.
 2010 12 512.
 2010 11 4817·
 2010 10 1127·
 2010 09 6621.
 2010 08 3616·
 2010 07 6922.
 2010 06 4228.
 2010 05 8718.
 2010 04 4015.
 2010 03 2013.
 2010 02 325·
 2010 01 89
 2009 12  6911.
 2009 11  8512.
 2009 10  9413·
 2009 09  189·
 2009 08  9721.
 2009 07  6931·
 2009 06  6531.
 2009 05  4121.
 2009 04  2623.
 2009 03  412.
 2009 02  88.
 2009 01  5211·
 2008 12 819.
 2008 11 475·
 2008 10 1211·
 2008 09 7215·
 2008 08 1218·
 2008 07 8022·
 2008 06 8933.
 2008 05 4421.
 2008 04 9524.
 2008 03 915.
 2008 02 7712.
 2008 01 389·
 2007 12  29
 2007 11  658.
 2007 10  398.
 2007 09  465.
 2007 08  404.
 2007 07  623·
 2007 06  6313·
 2007 05  9011.
 2007 04  805.
 2007 03  1310.
 2007 02  613.
 2007 01  121.
 2006 12 228·
 2006 11 9314·
 2006 10 728.
 2006 09 8210·
 2006 08 6814·
 2006 07 778.
 2006 06 5920·
 2006 05 945.
 2006 04 428·
 2006 03 224·
 2006 02 911.
 2006 01 6712·
 2005 12  9610.
 2005 11  922.
 2005 10  3523.
 2005 09  4622.
 2005 08  416.
 2005 07  4632.
 2005 06  7626·
 2005 05  9911·
 2005 04  6811·
 2005 03  6311·
 2005 02  94
 2005 01  207.
 2004 12 128·
 2004 11 1916.
 2004 10 7617.
 2004 09 2916·
 2004 08 8621·
 2004 07 9314·
 2004 06 3717·
 2004 05 7112·
 2004 04 6719·
 2004 03 9313.
 2004 02 1314·
 2004 01 138.
 2003 12  5412·
 2003 11  519.
 2003 10  685·
 2003 09  509·
 2003 08  743.
 2003 07  2314·
 2003 06  8921.
 2003 05  210·
 2003 04  7510.
 2003 03  9015·
 2003 02  909.
 2003 01  1210·
 2002 12 359.
 2002 11 6013·
 2002 10 817.
 2002 09 499.
 2002 08 5220.
 2002 07 6412.
 2002 06 621·
 2002 05 823·
 2002 04 5417·
 2002 03 5810·
 2002 02 735·
 2002 01 913.
 2001 12  8910·
 2001 11  257.
 2001 10  2011.
 2001 09  947.
 2001 08  3318.
 2001 07  7119·
 2001 06  8723.
 2001 05  3327·
 2001 04  8722.
 2001 03  2720.
 2001 02  3511.
 2001 01  2110.
 2000 12 7614·
 2000 11 5114·
 2000 10 5225.
 2000 09 7531·
 2000 08 5123·
 2000 07 2329·
 2000 06 5333·
 2000 05 4217.
 2000 04 8612·
 2000 03 5118.
 2000 02 7413.
 2000 01 8916·
 1999 12  83
 1999 11  6620.
 1999 10  7826.
 1999 09  1124.
 1999 08  6630·
 1999 07  2530·
 1999 06  5322.
 1999 05  2724·
 1999 04  8713·
 1999 03  911·
 1999 02  1216.
 1999 01  8115.
 1998 12 2020.
 1998 11 2528.
 1998 10 9415.
 1998 09 4319.
 1998 08 6518·
 1998 07 524.
 1998 06 6038·
 1998 05 530·
 1998 04 4919·
 1998 03 619·
 1998 02 9917·
 1998 01 8924·
 1997 12  2223.
 1997 11  818·
 1997 10  2421·
 1997 09  3718.
 1997 08  5840.
 1997 07  1936·
 1997 06  7227·
 1997 05  1930·
 1997 04  5947.
 1997 03  7038·
 1997 02  7
 1997 01  2835.
 1996 12 5023·
 1996 11 1833·
 1996 10 1633·
 1996 09 8547.
 1996 08 8042·
 1996 07 4545·
 1996 06 1230·
 1996 05 3332.
 1996 04 2724·
 1996 03 5722·
 1996 02 3413.
 1996 01 4228·
 1995 12  8925.
 1995 11  8520.
 1995 10  4324.
 1995 09  520·
 1995 08  9329·
 1995 07  8825·
 1995 06  2931.
 1995 05  4232.
 1995 04  8835.
 1995 03  4532·
 1995 02  317·
 1995 01  9617·
 1994 12 5119·
 1994 11 6426.
 1994 10 420·
 1994 09 3831·
 1994 08 8135.
 1994 07 7642·
 1994 06 9432.
 1994 05 6026·
 1994 04 420.
 1994 03 3920.
 1994 02 6221·
 1994 01 8329.
 1993 12  7022.
 1993 11  3321·
 1993 10  2132·
 1993 09  5021·
 1993 08  5555.
 1993 07  6544.
 1993 06  744.
 1993 05  3154.
 1993 04  5939·
 1993 03  6852.
 1993 02  8542.
 1993 01  1939·
 1992 12 731·
 1992 11 9754.
 1992 10 4243.
 1992 09 3439·
 1992 08 5141·
 1992 07 3457.
 1992 06 9160·
 1992 05 2041·
 1992 04 6434.
 1992 03 8629.
 1992 02 6930·
 1992 01 4617.
 1991 12  4826.
 1991 11  8435·
 1991 10  4037.
 1991 09  632.
 1991 08  2861·
 1991 07  8669·
 1991 06  9268.
 1991 05  2038·
 1991 04  5537·
 1991 03  7341·
 1991 02  3747.
 1991 01  3143.
 1990 12 435.
 1990 11 5146·
 1990 10 1435·
 1990 09 929·
 1990 08 7455·
 1990 07 5247.
 1990 06 8562·
 1990 05 4742·
 1990 04 9233·
 1990 03 3232.
 1990 02 3831.
 1990 01 6625.
 1989 12  934·
 1989 11  7521·
 1989 10  8632·
 1989 09  841.
 1989 08  9866.
 1989 07  8554·
 1989 06  6771.
 1989 05  4457.
 1989 04  6141.
 1989 03  9448.
 1989 02  4427·
 1989 01  6740·
 1988 12 2426·
 1988 11 6033·
 1988 10 547·
 1988 09 9642·
 1988 08 3677.
 1988 07 6479.
 1988 06 6281.
 1988 05 7664.
 1988 04 7347·
 1988 03 1354.
 1988 02 5423.
 1988 01 7631·
 1987 12  3538.
 1987 11  3853.
 1987 10  4356.
 1987 09  9054·
 1987 08  4878.
 1987 07  9582·
 1987 06  1787·
 1987 05  3778.
 1987 04  6262·
 1987 03  6758.
 1987 02  9027·
 1987 01  6127·
 1986 12 5339·
 1986 11 6058·
 1986 10 9944.
 1986 09 3153.
 1986 08 2078·
 1986 07 676·
 1986 06 666.
 1986 05 4261.
 1986 04 9055.
 1986 03 6242·
 1986 02 138.
 1986 01 1236.
 1985 12  1343.
 1985 11  834·
 1985 10  9549·
 1985 09  8657.
 1985 08  6370·
 1985 07  5276·
 1985 06  2779.
 1985 05  3367.
 1985 04  4271·
 1985 03  2652.
 1985 02  5972·
 1985 01  4755.
 1984 12 7550.
 1984 11 8561.
 1984 10 8047.
 1984 09 4747·
 1984 08 1276.
 1984 07 1296.
 1984 06 290·
 1984 05 7879·
 1984 04 2864·
 1984 03 1359·
 1984 02 6353·
 1984 01 854.
 1983 12  2572.
 1983 11  2078·
 1983 10  2793·
 1983 09  3178.
 1983 08  27104.
 1983 07  90128.
 1983 06  80115·
 1983 05  6790.
 1983 04  8564·
 1983 03  470.
 1983 02  3652·
 1983 01  6064.
 1982 12 7466.
 1982 11 6880.
 1982 10 3391·
 1982 09 8072·
 1982 08 9490·
 1982 07 16119.
 1982 06 34115.
 1982 05 19104.
 1982 04 7297·
 1982 03 290·
 1982 02 26101.
 1982 01 97114·
 1981 12  5770·
 1981 11  981.
 1981 10  2281·
 1981 09  5984·
 1981 08  25112·
 1981 07  43108·
 1981 06  61133.
 1981 05  7496.
 1981 04  7594·
 1981 03  3686.
 1981 02  571.
 1981 01  3571.
 1980 12 3581·
 1980 11 4588·
 1980 10 42105·
 1980 09 6299·
 1980 08 53127.
 1980 07 51138.
 1980 06 86136.
 1980 05 99119·
 1980 04 592·
 1980 03 6287·
 1980 02 7369·
 1980 01 1574·
 1979 12  9372.
 1979 11  774.
 1979 10  66108·
 1979 09  590.
 1979 08  40129.
 1979 07  45126·
 1979 06  55142·
 1979 05  87110.
 1979 04  98101·
 1979 03  5780.
 1979 02  5173·
 1979 01  570.
 1978 12 4174.
 1978 11 5066·
 1978 10 9296·
 1978 09 2993.
 1978 08 71122.
 1978 07 54128.
 1978 06 42133.
 1978 05 5394.
 1978 04 1383·
 1978 03 2779.
 1978 02 8855·
 1978 01 9674·
 1977 12  1775.
 1977 11  5169.
 1977 10  4388.
 1977 09  279.
 1977 08  58124·
 1977 07  32132.
 1977 06  45181.
 1977 05  41146.
 1977 04  36127·
 1977 03  188.
 1977 02  5782.
 1977 01  696.
 1976 12 7988·
 1976 11 1695.
 1976 10 67112.
 1976 09 16112·
 1976 08 34154.
 1976 07 58160.
 1976 06 87169.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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, Men: 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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