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 Series Title: Employment Level: Agriculture and Related Industries, Wage and Salary Workers, 45-54 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 32248.
 2012 03 57270.
 2012 02 75249·
 2012 01 21249.
 2011 12  53275·
 2011 11  31235.
 2011 10  18329·
 2011 09  5319.
 2011 08  66321.
 2011 07  30306·
 2011 06  87270·
 2011 05  13266·
 2011 04  20220·
 2011 03  33258·
 2011 02  95229·
 2011 01  89268.
 2010 12 91294·
 2010 11 48273.
 2010 10 79348·
 2010 09 1297·
 2010 08 79284·
 2010 07 7289.
 2010 06 4270·
 2010 05 45232·
 2010 04 11270·
 2010 03 65233·
 2010 02 55278.
 2010 01 39300·
 2009 12  36294.
 2009 11  5294·
 2009 10  47307.
 2009 09  27290.
 2009 08  29322.
 2009 07  34330·
 2009 06  17310.
 2009 05  78307.
 2009 04  92275.
 2009 03  82244.
 2009 02  29263·
 2009 01  88242.
 2008 12 49276·
 2008 11 7286·
 2008 10 69286.
 2008 09 74294.
 2008 08 51304·
 2008 07 91301·
 2008 06 51330.
 2008 05 81291.
 2008 04 73302.
 2008 03 39292·
 2008 02 13286·
 2008 01 78258.
 2007 12  16256.
 2007 11  84272.
 2007 10  18246.
 2007 09  60240·
 2007 08  4235·
 2007 07  81229.
 2007 06  53220.
 2007 05  44252·
 2007 04  90253·
 2007 03  14274.
 2007 02  32249·
 2007 01  76269.
 2006 12 47269.
 2006 11 88269·
 2006 10 93260.
 2006 09 25240.
 2006 08 76241.
 2006 07 35269·
 2006 06 97281·
 2006 05 85260·
 2006 04 3274.
 2006 03 12230·
 2006 02 34226.
 2006 01 74246.
 2005 12  77235·
 2005 11  0242·
 2005 10  16248.
 2005 09  38262·
 2005 08  76259·
 2005 07  6285·
 2005 06  80348.
 2005 05  45306.
 2005 04  98298.
 2005 03  62251.
 2005 02  91260·
 2005 01  89250.
 2004 12 69231·
 2004 11 24219.
 2004 10 35242.
 2004 09 89283.
 2004 08 39269·
 2004 07 74268.
 2004 06 26292.
 2004 05 91261·
 2004 04 85276.
 2004 03 19255·
 2004 02 1245.
 2004 01 62240.
 2003 12  6238·
 2003 11  90272·
 2003 10  24292·
 2003 09  96279·
 2003 08  27288·
 2003 07  44253·
 2003 06  82263.
 2003 05  14239·
 2003 04  0256.
 2003 03  62240·
 2003 02  88219·
 2003 01  59231.
 2002 12 99241·
 2002 11 51258·
 2002 10 80300·
 2002 09 1302·
 2002 08 25258·
 2002 07 43280.
 2002 06 22269.
 2002 05 33228·
 2002 04 4239·
 2002 03 94234·
 2002 02 0242·
 2002 01 74237·
 2001 12  85211.
 2001 11  87206·
 2001 10  28224.
 2001 09  69268.
 2001 08  44258·
 2001 07  27286·
 2001 06  43230·
 2001 05  87237·
 2001 04  81218·
 2001 03  47232·
 2001 02  9238·
 2001 01  22239.
 2000 12 22251·
 2000 11 2251·
 2000 10 13257.
 2000 09 94225.
 2000 08 18226.
 2000 07 75253·
 2000 06 69283.
 2000 05 45276.
 2000 04 43309.
 2000 03 73275·
 2000 02 14261.
 2000 01 46233.
 1999 12  99290·
 1999 11  26292.
 1999 10  11286·
 1999 09  91303.
 1999 08  9260·
 1999 07  91309·
 1999 06  48266.
 1999 05  98271.
 1999 04  26310.
 1999 03  51284.
 1999 02  37279·
 1999 01  12288·
 1998 12 23267.
 1998 11 12275·
 1998 10 18317.
 1998 09 2290·
 1998 08 2282.
 1998 07 5265·
 1998 06 52260·
 1998 05 63262·
 1998 04 88276·
 1998 03 88256·
 1998 02 28269·
 1998 01 12282·
 1997 12  32243.
 1997 11  41253.
 1997 10  58254·
 1997 09  96237·
 1997 08  8266·
 1997 07  71269·
 1997 06  80298.
 1997 05  81312.
 1997 04  18291.
 1997 03  10271.
 1997 02  58273·
 1997 01  63218·
 1996 12 85215·
 1996 11 15236·
 1996 10 79229.
 1996 09 62225.
 1996 08 62261.
 1996 07 68293.
 1996 06 56314.
 1996 05 20298·
 1996 04 23286·
 1996 03 74238.
 1996 02 26243.
 1996 01 7236·
 1995 12  69231.
 1995 11  66222.
 1995 10  54251.
 1995 09  18240.
 1995 08  25242.
 1995 07  0250.
 1995 06  26223·
 1995 05  71243·
 1995 04  42235·
 1995 03  58220·
 1995 02  55224·
 1995 01  10227·
 1994 12 94249.
 1994 11 46239.
 1994 10 80237.
 1994 09 6224·
 1994 08 82212.
 1994 07 97229.
 1994 06 64231·
 1994 05 51247·
 1994 04 33230.
 1994 03 66193·
 1994 02 93204.
 1994 01 65173·
 1993 12  95201·
 1993 11  36206·
 1993 10  82197·
 1993 09  92212.
 1993 08  44207.
 1993 07  13217.
 1993 06  68199.
 1993 05  1202.
 1993 04  82194·
 1993 03  29163·
 1993 02  13149·
 1993 01  87140.
 1992 12 33175·
 1992 11 39188.
 1992 10 7210·
 1992 09 68243·
 1992 08 47215·
 1992 07 27211·
 1992 06 61235.
 1992 05 89188.
 1992 04 0192·
 1992 03 99172.
 1992 02 13177·
 1992 01 19154.
 1991 12  93214·
 1991 11  86194.
 1991 10  27187·
 1991 09  52224·
 1991 08  50191.
 1991 07  44202·
 1991 06  91228·
 1991 05  7190·
 1991 04  23186.
 1991 03  56157.
 1991 02  16162.
 1991 01  28149·
 1990 12 86186.
 1990 11 29185·
 1990 10 42189.
 1990 09 85203.
 1990 08 40197·
 1990 07 93186.
 1990 06 31195.
 1990 05 71167.
 1990 04 11197·
 1990 03 6157·
 1990 02 71147.
 1990 01 6149·
 1989 12  48161.
 1989 11  49175·
 1989 10  74189·
 1989 09  33205.
 1989 08  27189·
 1989 07  28188.
 1989 06  79178.
 1989 05  23173·
 1989 04  49147.
 1989 03  76169.
 1989 02  49143.
 1989 01  68170·
 1988 12 39166·
 1988 11 49210.
 1988 10 71169·
 1988 09 89144·
 1988 08 47155·
 1988 07 29155·
 1988 06 59171·
 1988 05 29179.
 1988 04 48180·
 1988 03 22176·
 1988 02 50167·
 1988 01 58161·
 1987 12  44161.
 1987 11  60169.
 1987 10  7181.
 1987 09  69180.
 1987 08  59187·
 1987 07  99187.
 1987 06  18218·
 1987 05  82200.
 1987 04  45178·
 1987 03  22164·
 1987 02  96148·
 1987 01  41163.
 1986 12 75158.
 1986 11 34147.
 1986 10 79171.
 1986 09 15164·
 1986 08 51180.
 1986 07 69196.
 1986 06 29202.
 1986 05 99193·
 1986 04 98185.
 1986 03 81162.
 1986 02 35154·
 1986 01 10166·
 1985 12  66164.
 1985 11  53192·
 1985 10  10148.
 1985 09  94159.
 1985 08  32162·
 1985 07  91156·
 1985 06  91181·
 1985 05  20160·
 1985 04  94164·
 1985 03  28153·
 1985 02  41174·
 1985 01  82161.
 1984 12 79168.
 1984 11 19176.
 1984 10 49173·
 1984 09 98183.
 1984 08 37164·
 1984 07 47173·
 1984 06 26155.
 1984 05 14150.
 1984 04 43152.
 1984 03 18167.
 1984 02 11159.
 1984 01 98120.
 1983 12  98124.
 1983 11  63148.
 1983 10  68148·
 1983 09  44160.
 1983 08  28179·
 1983 07  40178·
 1983 06  83162.
 1983 05  71146.
 1983 04  82141·
 1983 03  29118·
 1983 02  69130·
 1983 01  24144.
 1982 12 35141·
 1982 11 38162.
 1982 10 65171·
 1982 09 72156.
 1982 08 89163·
 1982 07 98181.
 1982 06 34145·
 1982 05 9149.
 1982 04 69148·
 1982 03 66141·
 1982 02 62136.
 1982 01 54140.
 1981 12  25135·
 1981 11  24149.
 1981 10  64151.
 1981 09  51161·
 1981 08  32158.
 1981 07  78152·
 1981 06  77141·
 1981 05  69138·
 1981 04  92140.
 1981 03  59125.
 1981 02  64145·
 1981 01  3139.
 1980 12 28143·
 1980 11 25145.
 1980 10 13138·
 1980 09 71157·
 1980 08 92143.
 1980 07 57152·
 1980 06 36160.
 1980 05 19164.
 1980 04 60141·
 1980 03 62152.
 1980 02 73132·
 1980 01 14116·
 1979 12  30135.
 1979 11  71151.
 1979 10  84168.
 1979 09  51154.
 1979 08  30184.
 1979 07  41181·
 1979 06  59205·
 1979 05  49166.
 1979 04  9164.
 1979 03  53151·
 1979 02  11164.
 1979 01  52143.
 1978 12 42155·
 1978 11 15149·
 1978 10 76165.
 1978 09 30188.
 1978 08 31163.
 1978 07 58171·
 1978 06 19193.
 1978 05 77176.
 1978 04 0148·
 1978 03 38146·
 1978 02 27159·
 1978 01 11144.
 1977 12  99153·
 1977 11  37160.
 1977 10  12203·
 1977 09  77171·
 1977 08  5181·
 1977 07  62194·
 1977 06  13184.
 1977 05  44152.
 1977 04  17174·
 1977 03  45174.
 1977 02  93152.
 1977 01  7145·
 1976 12 62151·
 1976 11 42154.
 1976 10 40175.
 1976 09 83169·
 1976 08 88155.
 1976 07 34169.
 1976 06 65168·
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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, 45-54 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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