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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 65 years and over: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 64
 2012 03 270·
 2012 02 140·
 2012 01 690.
 2011 12  651·
 2011 11  730·
 2011 10  680.
 2011 09  553.
 2011 08  191·
 2011 07  41·
 2011 06  114.
 2011 05  277.
 2011 04  785·
 2011 03  33·
 2011 02  550·
 2011 01  29
 2010 12 174.
 2010 11 766·
 2010 10 386.
 2010 09 316·
 2010 08 355·
 2010 07 550.
 2010 06 233·
 2010 05 274.
 2010 04 594·
 2010 03 965.
 2010 02 98
 2010 01 350·
 2009 12  390.
 2009 11  821.
 2009 10  761.
 2009 09  00·
 2009 08  500.
 2009 07  190.
 2009 06  950·
 2009 03  910·
 2008 12 923.
 2008 11 382·
 2008 10 170·
 2008 09 21·
 2008 08 921·
 2008 07 960·
 2008 01 312.
 2007 12  522·
 2007 11  982.
 2007 10  741.
 2007 09  500.
 2007 08  861.
 2007 07  882·
 2007 06  812·
 2007 05  11
 2007 04  725.
 2007 03  612·
 2007 02  462·
 2006 11 761.
 2006 10 61.
 2006 04 421.
 2006 03 271.
 2006 02 362.
 2006 01 40·
 2005 11  821.
 2005 10  5
 2005 09  12.
 2005 08  132.
 2005 07  563.
 2005 06  872.
 2005 05  9
 2005 04  22.
 2005 03  651.
 2004 12 4
 2004 11 254·
 2004 10 63
 2004 08 351.
 2004 07 141·
 2004 06 350·
 2004 04 171.
 2004 03 142.
 2003 09  982.
 2003 06  531·
 2003 05  74.
 2003 03  801.
 2003 02  624·
 2003 01  179.
 2002 12 39·
 2002 11 3212·
 2002 10 395·
 2002 09 882.
 2002 08 993.
 2002 05 952·
 2001 10  844·
 2001 09  566.
 2001 08  140·
 2001 07  210.
 2001 06  79
 2001 05  336.
 2001 01  922.
 2000 11 842.
 2000 09 32
 2000 08 57
 2000 06 2
 2000 05 843·
 2000 04 733.
 2000 03 916.
 2000 02 383·
 2000 01 483·
 1999 12  602·
 1999 11  233·
 1999 10  212.
 1999 08  26
 1999 07  743.
 1999 06  659·
 1999 05  92
 1999 04  923·
 1999 03  212.
 1998 11 563·
 1998 10 236·
 1998 09 484·
 1998 06 335.
 1998 05 585·
 1998 04 76.
 1998 03 193.
 1998 01 688·
 1997 12  606.
 1997 11  625.
 1997 10  5510.
 1997 09  61.
 1997 08  745·
 1997 07  343.
 1997 05  315.
 1997 04  542.
 1997 03  383·
 1997 02  924.
 1997 01  497·
 1996 12 448·
 1996 11 155.
 1996 10 2910.
 1996 09 331·
 1996 08 334·
 1996 07 931·
 1996 06 642.
 1996 05 332.
 1996 04 15.
 1996 03 851.
 1996 02 422.
 1996 01 264.
 1995 12  562·
 1995 11  281·
 1995 10  33
 1995 09  118.
 1995 08  303·
 1995 07  863.
 1995 06  295.
 1995 05  145.
 1995 04  793·
 1995 03  472·
 1995 02  510.
 1995 01  85
 1994 12 840.
 1994 11 231·
 1994 10 417·
 1994 09 03.
 1994 08 5310.
 1994 07 527.
 1994 06 71
 1994 05 591·
 1994 04 171.
 1994 03 975·
 1994 02 337·
 1994 01 884·
 1993 12  328.
 1993 11  4713.
 1993 10  4720.
 1993 09  364·
 1993 08  8113·
 1993 07  134·
 1993 06  577·
 1993 05  8012·
 1993 04  696·
 1993 03  3413·
 1993 02  3210·
 1993 01  1915·
 1992 12 2913·
 1992 11 7322·
 1992 10 6616.
 1992 09 7914.
 1992 08 174·
 1992 07 1710·
 1992 06 7815·
 1992 05 1116·
 1992 04 1511·
 1992 03 807·
 1992 02 138.
 1992 01 897·
 1991 12  297.
 1991 11  9911.
 1991 10  4022·
 1991 09  1511.
 1991 08  927.
 1991 07  3818.
 1991 06  5211·
 1991 05  1316.
 1991 04  5912.
 1991 03  8312·
 1991 02  69
 1991 01  3512.
 1990 12 1212.
 1990 11 4913.
 1990 10 3614·
 1990 09 5415.
 1990 08 5910.
 1990 07 7315.
 1990 06 2010.
 1990 05 7310.
 1990 04 3012.
 1990 03 177·
 1990 02 17
 1990 01 159.
 1989 12  829·
 1989 11  71
 1989 10  4517.
 1989 09  3214·
 1989 08  9714·
 1989 07  4520.
 1989 06  4920·
 1989 05  9920·
 1989 04  827·
 1989 03  8012·
 1989 02  981.
 1989 01  176·
 1988 12 686·
 1988 11 368·
 1988 10 8519.
 1988 09 1016·
 1988 08 1221·
 1988 07 324·
 1988 06 3123·
 1988 05 2914·
 1988 04 953·
 1988 03 9411·
 1988 02 793·
 1988 01 504·
 1987 12  2510.
 1987 11  4515·
 1987 10  9817.
 1987 09  7218.
 1987 08  3226.
 1987 07  2038.
 1987 06  8318.
 1987 05  2216.
 1987 04  746·
 1987 03  710.
 1987 02  524.
 1987 01  503.
 1986 12 328.
 1986 11 1920.
 1986 10 5010·
 1986 09 3019.
 1986 08 1229.
 1986 07 9327·
 1986 06 4517·
 1986 05 6422.
 1986 04 477.
 1986 03 939·
 1986 02 335·
 1986 01 771·
 1985 12  9215.
 1985 11  73·
 1985 10  3212.
 1985 09  1919·
 1985 08  3110·
 1985 07  4624.
 1985 06  8717.
 1985 05  6612.
 1985 04  6817·
 1985 03  5014·
 1985 02  6512.
 1985 01  1715·
 1984 12 3719.
 1984 11 8116·
 1984 10 6319.
 1984 09 017.
 1984 08 9316.
 1984 07 2721·
 1984 06 9818.
 1984 05 6220.
 1984 04 1812.
 1984 03 1
 1984 02 155·
 1984 01 8212·
 1983 12  1915.
 1983 11  4018·
 1983 10  8212·
 1983 09  5715·
 1983 08  2713.
 1983 07  820·
 1983 06  9625·
 1983 05  1518·
 1983 04  017·
 1983 03  9313.
 1983 02  7316.
 1983 01  58.
 1982 12 188·
 1982 11 712·
 1982 10 5915·
 1982 09 310·
 1982 08 8913.
 1982 07 8917·
 1982 06 2215.
 1982 05 816.
 1982 04 4314·
 1982 03 011.
 1982 02 579.
 1982 01 48
 1981 12  398.
 1981 11  309.
 1981 10  8317·
 1981 09  7116.
 1981 08  5617·
 1981 07  9116.
 1981 06  4424.
 1981 05  5413.
 1981 04  312.
 1981 03  2022·
 1981 02  912.
 1981 01  96
 1980 12 1020·
 1980 11 8217·
 1980 10 7216·
 1980 09 2312·
 1980 08 3415·
 1980 07 6319·
 1980 06 5318.
 1980 05 8617·
 1980 04 57
 1980 03 766.
 1980 02 9510·
 1980 01 607.
 1979 12  868.
 1979 11  6015·
 1979 10  6818.
 1979 09  4519.
 1979 08  5225.
 1979 07  7823·
 1979 06  6624.
 1979 05  6716·
 1979 04  1115·
 1979 03  166·
 1979 02  812·
 1979 01  758.
 1978 12 4612·
 1978 11 899.
 1978 10 3817·
 1978 09 4715·
 1978 08 6326·
 1978 07 3414·
 1978 06 2533.
 1978 05 8122·
 1978 04 9417.
 1978 03 1318·
 1978 02 648.
 1978 01 3
 1977 12  9512.
 1977 11  1615·
 1977 10  7331.
 1977 09  6322·
 1977 08  4818.
 1977 07  5430·
 1977 06  9629.
 1977 05  3823·
 1977 04  6021·
 1977 03  6511.
 1977 02  412.
 1977 01  2719·
 1976 12 6215.
 1976 11 1315.
 1976 10 9018·
 1976 09 5621.
 1976 08 1120.
 1976 07 8623·
 1976 06 7220.
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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

Input your search text below.
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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 65 years and over: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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