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 Series Title: Employment Level: Agriculture and Related Industries, Wage and Salary Workers, 35-44 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 88256·
 2012 03 87264.
 2012 02 59249·
 2012 01 18248·
 2011 12  4240.
 2011 11  58241.
 2011 10  25225.
 2011 09  76253·
 2011 08  67313·
 2011 07  9321·
 2011 06  73317.
 2011 05  15301·
 2011 04  29238·
 2011 03  22243·
 2011 02  17253·
 2011 01  78232·
 2010 12 64271.
 2010 11 2255·
 2010 10 93250.
 2010 09 34249.
 2010 08 72272·
 2010 07 82261.
 2010 06 65291·
 2010 05 77316.
 2010 04 80291·
 2010 03 19291.
 2010 02 21292·
 2010 01 27259·
 2009 12  38268·
 2009 11  93253·
 2009 10  74240·
 2009 09  27236.
 2009 08  20254·
 2009 07  12252·
 2009 06  61272·
 2009 05  48252.
 2009 04  27217.
 2009 03  7217.
 2009 02  45219.
 2009 01  82213·
 2008 12 86285.
 2008 11 35254.
 2008 10 15278·
 2008 09 49295·
 2008 08 45275.
 2008 07 77282·
 2008 06 83265·
 2008 05 93271·
 2008 04 81259·
 2008 03 41289·
 2008 02 87280·
 2008 01 84287.
 2007 12  94300.
 2007 11  57227·
 2007 10  90220.
 2007 09  15212.
 2007 08  9210.
 2007 07  83273.
 2007 06  80283.
 2007 05  5291.
 2007 04  77286·
 2007 03  99274.
 2007 02  69304·
 2007 01  0251.
 2006 12 72273·
 2006 11 14271·
 2006 10 96271·
 2006 09 67271.
 2006 08 97296.
 2006 07 57342.
 2006 06 24338·
 2006 05 1313.
 2006 04 75304.
 2006 03 87241·
 2006 02 40238.
 2006 01 22269.
 2005 12  57269·
 2005 11  84311·
 2005 10  58285·
 2005 09  73259.
 2005 08  19281.
 2005 07  56285.
 2005 06  14282·
 2005 05  23272.
 2005 04  61251.
 2005 03  33234·
 2005 02  73224·
 2005 01  67234·
 2004 12 8239.
 2004 11 73296.
 2004 10 21290.
 2004 09 23306·
 2004 08 11335.
 2004 07 57289·
 2004 06 73312.
 2004 05 37333.
 2004 04 46302·
 2004 03 92255·
 2004 02 65253·
 2004 01 76236.
 2003 12  12279.
 2003 11  10285·
 2003 10  61361·
 2003 09  36394.
 2003 08  35397.
 2003 07  66352.
 2003 06  48310.
 2003 05  34291·
 2003 04  65299·
 2003 03  43273·
 2003 02  40231·
 2003 01  17237·
 2002 12 78239·
 2002 11 48234.
 2002 10 74334·
 2002 09 52353.
 2002 08 74337·
 2002 07 12379.
 2002 06 14339·
 2002 05 33373·
 2002 04 78352.
 2002 03 91260·
 2002 02 46266·
 2002 01 81274.
 2001 12  42280.
 2001 11  68292·
 2001 10  85313.
 2001 09  38285·
 2001 08  40300.
 2001 07  48333.
 2001 06  67285.
 2001 05  74347·
 2001 04  72394.
 2001 03  64294.
 2001 02  56339.
 2001 01  84381·
 2000 12 65325·
 2000 11 72338·
 2000 10 40325.
 2000 09 86346.
 2000 08 68356·
 2000 07 55343·
 2000 06 31338·
 2000 05 25321.
 2000 04 57350.
 2000 03 17341.
 2000 02 68356.
 2000 01 70386.
 1999 12  32473·
 1999 11  92484·
 1999 10  13490.
 1999 09  14500·
 1999 08  19513.
 1999 07  36476.
 1999 06  54508.
 1999 05  77485·
 1999 04  68449.
 1999 03  30456·
 1999 02  5446·
 1999 01  4413.
 1998 12 54403.
 1998 11 81476·
 1998 10 2516.
 1998 09 62585·
 1998 08 79566·
 1998 07 20561·
 1998 06 10492·
 1998 05 47446.
 1998 04 66425.
 1998 03 6374.
 1998 02 15411·
 1998 01 78422.
 1997 12  67438.
 1997 11  18414.
 1997 10  30416·
 1997 09  98508.
 1997 08  57502.
 1997 07  63498·
 1997 06  95489.
 1997 05  77465·
 1997 04  36442.
 1997 03  74417·
 1997 02  71432·
 1997 01  9416.
 1996 12 31413.
 1996 11 7410.
 1996 10 46458·
 1996 09 13500.
 1996 08 90459·
 1996 07 44443.
 1996 06 33428·
 1996 05 34433·
 1996 04 90421·
 1996 03 90411·
 1996 02 71407·
 1996 01 40390·
 1995 12  31399·
 1995 11  79410·
 1995 10  21443.
 1995 09  25413·
 1995 08  38400.
 1995 07  66378.
 1995 06  73414.
 1995 05  9382.
 1995 04  62389.
 1995 03  33420·
 1995 02  38377·
 1995 01  36340.
 1994 12 78363.
 1994 11 86382·
 1994 10 55385·
 1994 09 74411·
 1994 08 86439.
 1994 07 59399.
 1994 06 86406.
 1994 05 19376·
 1994 04 13360.
 1994 03 6358.
 1994 02 20287·
 1994 01 89296·
 1993 12  8356·
 1993 11  10352·
 1993 10  70382.
 1993 09  28415·
 1993 08  46377·
 1993 07  77401.
 1993 06  72428.
 1993 05  6399·
 1993 04  29378.
 1993 03  39343·
 1993 02  91322·
 1993 01  17316·
 1992 12 80322.
 1992 11 53331·
 1992 10 14325.
 1992 09 79374·
 1992 08 52358·
 1992 07 0395·
 1992 06 53440·
 1992 05 37424·
 1992 04 19395.
 1992 03 86369.
 1992 02 48308.
 1992 01 61275·
 1991 12  82297.
 1991 11  45322·
 1991 10  60363·
 1991 09  43388·
 1991 08  66370.
 1991 07  31391·
 1991 06  78431.
 1991 05  4365.
 1991 04  21354·
 1991 03  28317.
 1991 02  14286.
 1991 01  88289.
 1990 12 23289·
 1990 11 40306.
 1990 10 7335·
 1990 09 63350·
 1990 08 72360.
 1990 07 1345.
 1990 06 19370.
 1990 05 23342.
 1990 04 94305.
 1990 03 67290·
 1990 02 38290·
 1990 01 89295.
 1989 12  38311.
 1989 11  19325.
 1989 10  77338·
 1989 09  4319.
 1989 08  82297.
 1989 07  63331.
 1989 06  74324.
 1989 05  37342.
 1989 04  23295·
 1989 03  33266·
 1989 02  92243.
 1989 01  82220·
 1988 12 89230·
 1988 11 84251.
 1988 10 19307·
 1988 09 59294·
 1988 08 30288.
 1988 07 98326·
 1988 06 67270.
 1988 05 11302.
 1988 04 20282.
 1988 03 81239·
 1988 02 75218.
 1988 01 8229·
 1987 12  61255.
 1987 11  65284.
 1987 10  5280·
 1987 09  44284·
 1987 08  78290.
 1987 07  8320·
 1987 06  46262.
 1987 05  38267·
 1987 04  20246.
 1987 03  89231·
 1987 02  9228·
 1987 01  35223·
 1986 12 64228·
 1986 11 17254.
 1986 10 34258·
 1986 09 2277·
 1986 08 10260·
 1986 07 23269.
 1986 06 82241·
 1986 05 35240.
 1986 04 84233.
 1986 03 63236.
 1986 02 43217·
 1986 01 53218·
 1985 12  35202.
 1985 11  19225·
 1985 10  28249·
 1985 09  99254.
 1985 08  39295.
 1985 07  98288.
 1985 06  76306·
 1985 05  43299·
 1985 04  96222.
 1985 03  31218·
 1985 02  49239.
 1985 01  80249·
 1984 12 32281·
 1984 11 76269·
 1984 10 36259·
 1984 09 27259·
 1984 08 98294.
 1984 07 12276·
 1984 06 49305·
 1984 05 30279·
 1984 04 68241·
 1984 03 48199.
 1984 02 27237.
 1984 01 57220·
 1983 12  43227.
 1983 11  15228·
 1983 10  31248·
 1983 09  3254.
 1983 08  49264·
 1983 07  70266.
 1983 06  50248.
 1983 05  86247.
 1983 04  35229·
 1983 03  93232·
 1983 02  97211·
 1983 01  52187·
 1982 12 78193·
 1982 11 93232.
 1982 10 10240·
 1982 09 68240·
 1982 08 77217·
 1982 07 99240.
 1982 06 52239·
 1982 05 29235.
 1982 04 58207·
 1982 03 70203.
 1982 02 10198.
 1982 01 55199.
 1981 12  71211.
 1981 11  87219.
 1981 10  98216.
 1981 09  89209·
 1981 08  92219.
 1981 07  56237.
 1981 06  53216·
 1981 05  1220.
 1981 04  22216.
 1981 03  9196·
 1981 02  38171·
 1981 01  85170.
 1980 12 84191.
 1980 11 3184.
 1980 10 41192·
 1980 09 59193·
 1980 08 31191.
 1980 07 19213·
 1980 06 75236·
 1980 05 68221·
 1980 04 37209.
 1980 03 64198·
 1980 02 78208.
 1980 01 82199.
 1979 12  3192.
 1979 11  69202.
 1979 10  13184·
 1979 09  94192·
 1979 08  54194.
 1979 07  92204.
 1979 06  67242.
 1979 05  23198.
 1979 04  40168.
 1979 03  14195·
 1979 02  54191.
 1979 01  14192.
 1978 12 37201·
 1978 11 41164·
 1978 10 12192.
 1978 09 35204·
 1978 08 46197·
 1978 07 5192.
 1978 06 3183·
 1978 05 81168·
 1978 04 91163.
 1978 03 63158.
 1978 02 15158.
 1978 01 71176.
 1977 12  23170.
 1977 11  97170.
 1977 10  61186·
 1977 09  50167.
 1977 08  18151·
 1977 07  12204·
 1977 06  79203·
 1977 05  85216.
 1977 04  75185·
 1977 03  41145·
 1977 02  32160.
 1977 01  72139.
 1976 12 21153·
 1976 11 41128·
 1976 10 8166.
 1976 09 30150·
 1976 08 5169.
 1976 07 93174.
 1976 06 19178·
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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.
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, Wage and Salary Workers, 35-44 years: 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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