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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 20-24 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 389.
 2012 03 949.
 2012 02 604.
 2012 01 180.
 2011 12  790.
 2011 11  519.
 2011 10  474.
 2011 09  99.
 2011 08  6112·
 2011 07  814·
 2011 06  118.
 2011 05  743.
 2011 04  340.
 2011 03  670·
 2011 02  630.
 2011 01  57
 2010 12 755·
 2010 11 146.
 2010 10 422·
 2010 09 262·
 2010 08 832·
 2010 07 541·
 2010 06 11
 2010 05 771·
 2010 04 841.
 2010 03 452·
 2010 02 57
 2010 01 285.
 2009 12  283·
 2009 11  67
 2009 10  930.
 2009 09  23
 2009 08  915·
 2009 07  286·
 2009 06  584·
 2009 05  325.
 2009 04  748·
 2009 03  588.
 2009 02  147.
 2009 01  484.
 2008 10 00.
 2008 09 154·
 2008 08 494·
 2008 07 911·
 2008 06 226·
 2008 05 801.
 2008 04 764·
 2007 08  60·
 2007 07  1310·
 2007 06  614·
 2007 05  321·
 2007 04  604·
 2007 03  757.
 2007 02  873.
 2006 11 815·
 2006 10 482·
 2006 09 346·
 2006 08 174.
 2006 07 115·
 2006 06 9011·
 2006 05 391.
 2006 04 323·
 2006 03 351·
 2006 02 295.
 2006 01 654.
 2005 12  384.
 2005 11  90
 2005 10  35
 2005 09  144.
 2005 08  670.
 2005 07  399·
 2005 06  2
 2005 05  104·
 2005 04  764·
 2005 03  705·
 2005 01  480.
 2004 12 54·
 2004 11 465.
 2004 10 968·
 2004 09 197·
 2004 08 726·
 2004 07 851.
 2004 06 559·
 2004 05 835·
 2004 04 143.
 2004 02 22
 2003 12  103.
 2003 11  343·
 2003 10  543.
 2003 08  171.
 2003 07  494.
 2003 06  915.
 2003 05  440.
 2003 04  49
 2003 03  854.
 2003 02  04·
 2003 01  604·
 2002 09 251·
 2002 08 541·
 2002 07 28
 2002 06 04·
 2002 05 789.
 2002 04 222·
 2002 03 69
 2002 01 915.
 2001 12  645·
 2001 11  74
 2001 10  441.
 2001 09  831.
 2001 06  643.
 2001 05  259.
 2001 04  9611·
 2001 03  526·
 2001 02  853.
 2001 01  123.
 2000 12 953.
 2000 11 983.
 2000 10 593.
 2000 09 985.
 2000 08 344·
 2000 07 453.
 2000 06 437.
 2000 05 70
 2000 04 323·
 2000 03 466.
 2000 02 176.
 2000 01 433·
 1999 12  341.
 1999 11  752.
 1999 10  902.
 1999 09  522·
 1999 08  102·
 1999 07  323·
 1999 06  912·
 1999 05  633.
 1999 02  524·
 1999 01  436·
 1998 12 799.
 1998 11 6212.
 1998 10 802.
 1998 09 584·
 1998 08 342.
 1998 07 625.
 1998 06 399·
 1998 05 521.
 1998 04 631·
 1998 01 13·
 1997 12  976.
 1997 11  273·
 1997 10  985·
 1997 09  432.
 1997 08  485·
 1997 07  75·
 1997 06  963.
 1997 05  74
 1997 04  138.
 1997 03  437.
 1997 01  385.
 1996 12 93.
 1996 11 342.
 1996 10 101.
 1996 09 312.
 1996 08 844.
 1996 07 8111·
 1996 06 94·
 1996 05 63·
 1996 04 621.
 1996 03 481·
 1996 02 653.
 1996 01 208·
 1995 12  335·
 1995 11  552·
 1995 10  284·
 1995 09  554.
 1995 08  79.
 1995 07  459·
 1995 06  743.
 1995 05  18
 1995 04  245.
 1995 03  887·
 1995 02  33·
 1995 01  395.
 1994 12 46
 1994 11 773·
 1994 10 404·
 1994 09 768·
 1994 08 628·
 1994 07 32
 1994 06 368·
 1994 05 118.
 1994 04 836·
 1994 03 983.
 1994 02 677·
 1994 01 499.
 1993 12  481·
 1993 11  422·
 1993 10  323·
 1993 09  234·
 1993 08  2011·
 1993 07  596.
 1993 06  586.
 1993 05  897·
 1993 04  87
 1993 03  706.
 1993 02  945.
 1993 01  293·
 1992 11 619·
 1992 10 167·
 1992 09 1510·
 1992 08 496.
 1992 07 8010.
 1992 06 6813·
 1992 05 247.
 1992 04 825·
 1992 03 86.
 1992 02 20
 1992 01 431.
 1991 12  844·
 1991 11  327.
 1991 10  928.
 1991 09  257.
 1991 08  3512.
 1991 07  6616·
 1991 06  2613·
 1991 05  447·
 1991 04  444.
 1991 03  46
 1991 02  925·
 1991 01  14.
 1990 12 429.
 1990 11 368·
 1990 10 858·
 1990 09 212·
 1990 08 8515·
 1990 07 2413.
 1990 06 235·
 1990 05 557·
 1990 04 553.
 1990 03 223·
 1990 02 527.
 1990 01 782·
 1989 12  5810·
 1989 11  705·
 1989 10  387.
 1989 09  906.
 1989 08  2712·
 1989 07  284.
 1989 06  7813.
 1989 05  171.
 1989 04  182.
 1989 03  8611·
 1989 02  905.
 1989 01  96·
 1988 12 126·
 1988 11 565.
 1988 10 187.
 1988 09 424·
 1988 08 1617.
 1988 07 7710·
 1988 06 329·
 1988 05 1611·
 1988 04 63
 1988 03 1011.
 1988 01 251·
 1987 12  564·
 1987 11  710.
 1987 10  444·
 1987 09  179·
 1987 08  1220·
 1987 07  3213·
 1987 06  9218·
 1987 05  5113.
 1987 04  61
 1987 03  449.
 1987 02  927.
 1987 01  989.
 1986 12 37·
 1986 11 7411·
 1986 10 67·
 1986 09 5110.
 1986 08 6219.
 1986 07 7916·
 1986 06 2312·
 1986 05 2810.
 1986 04 8910·
 1986 03 403.
 1986 02 557·
 1986 01 766.
 1985 12  61
 1985 11  6511.
 1985 10  4116·
 1985 09  6115·
 1985 08  7620.
 1985 07  8515·
 1985 06  4224.
 1985 05  8014·
 1985 04  6114·
 1985 03  5713·
 1985 02  4816·
 1985 01  5015.
 1984 12 6513.
 1984 11 6215·
 1984 10 7011·
 1984 09 1610.
 1984 08 6517.
 1984 07 633·
 1984 06 4827·
 1984 05 4717·
 1984 04 6110·
 1984 03 228.
 1984 02 43
 1984 01 3710.
 1983 12  7718·
 1983 11  6717.
 1983 10  4321.
 1983 09  620.
 1983 08  6522.
 1983 07  2136·
 1983 06  6327·
 1983 05  9723.
 1983 04  019·
 1983 03  9120.
 1983 02  387.
 1983 01  8013.
 1982 12 8214.
 1982 11 1013.
 1982 10 3322.
 1982 09 4922.
 1982 08 3714.
 1982 07 3329·
 1982 06 3518·
 1982 05 2214·
 1982 04 1416·
 1982 03 4315·
 1982 02 5721·
 1982 01 4525·
 1981 12  9018.
 1981 11  4622·
 1981 10  3720·
 1981 09  8520.
 1981 08  6525·
 1981 07  7322.
 1981 06  3725·
 1981 05  3821·
 1981 04  6323.
 1981 03  8216·
 1981 02  4719·
 1981 01  2312·
 1980 12 3714·
 1980 11 5320·
 1980 10 7820.
 1980 09 8320·
 1980 08 6027.
 1980 07 9426·
 1980 06 6825.
 1980 05 8824.
 1980 04 3412.
 1980 03 3717.
 1980 02 8116.
 1980 01 3216.
 1979 12  8317.
 1979 11  3718·
 1979 10  517.
 1979 09  3414.
 1979 08  5829.
 1979 07  7630·
 1979 06  5127·
 1979 05  3830.
 1979 04  3518·
 1979 03  6216.
 1979 02  5915·
 1979 01  1316·
 1978 12 1417.
 1978 11 2617.
 1978 10 9015·
 1978 09 5415.
 1978 08 2022·
 1978 07 2432.
 1978 06 3330.
 1978 05 8018·
 1978 04 411·
 1978 03 38
 1978 02 16.
 1978 01 3412.
 1977 12  4111·
 1977 11  7412.
 1977 10  323.
 1977 09  8616.
 1977 08  3120.
 1977 07  6516.
 1977 06  8832·
 1977 05  3018.
 1977 04  016·
 1977 03  6712·
 1977 02  5814·
 1977 01  8515·
 1976 12 9814·
 1976 11 6215.
 1976 10 5413·
 1976 09 9621.
 1976 08 122·
 1976 07 5629·
 1976 06 1434·
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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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      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, 20-24 years, 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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