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 Series Title: Employment Level -Managerial, Business, and Financial Operations Occupations in Agriculture and Related Industries: NSA
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 2012 04 811040·
 2012 03 131037.
 2012 02 8978.
 2012 01 36974.
 2011 12  931048.
 2011 11  761000·
 2011 10  861032.
 2011 09  52995.
 2011 08  841033.
 2011 07  501002·
 2011 06  781007·
 2011 05  791027·
 2011 04  41008·
 2011 03  171063.
 2011 02  951033·
 2011 01  61961·
 2010 12 29866·
 2010 11 82895·
 2010 10 77992.
 2010 09 68924.
 2010 08 591010.
 2010 07 791037·
 2010 06 86996·
 2010 05 941028·
 2010 04 191044.
 2010 03 63989·
 2010 02 101067.
 2010 01 57932.
 2009 12  60843·
 2009 11  16893.
 2009 10  62923·
 2009 09  2934.
 2009 08  57984.
 2009 07  451064.
 2009 06  801044·
 2009 05  981019.
 2009 04  111049·
 2009 03  82989.
 2009 02  26978·
 2009 01  391008.
 2008 12 471042.
 2008 11 821075·
 2008 10 89991.
 2008 09 45996.
 2008 08 15994.
 2008 07 291037·
 2008 06 811048.
 2008 05 591008.
 2008 04 91969.
 2008 03 28944·
 2008 02 41895·
 2008 01 50958·
 2007 12  75964.
 2007 11  10987·
 2007 10  311033.
 2007 09  13979·
 2007 08  92949·
 2007 07  34999·
 2007 06  38922·
 2007 05  67962·
 2007 04  94951.
 2007 03  79986.
 2007 02  77960·
 2007 01  56955.
 2006 12 541009·
 2006 11 541033·
 2006 10 851093.
 2006 09 491110·
 2006 08 751117.
 2006 07 891108.
 2006 06 251097·
 2006 05 411042·
 2006 04 801049·
 2006 03 42966.
 2006 02 84919·
 2006 01 50959·
 2005 12  21973.
 2005 11  931020·
 2005 10  751063.
 2005 09  201066·
 2005 08  731069.
 2005 07  501117.
 2005 06  371190.
 2005 05  211107.
 2005 04  361122.
 2005 03  441008.
 2005 02  33911.
 2005 01  47929·
 2004 12 36962.
 2004 11 32991.
 2004 10 501035·
 2004 09 171067.
 2004 08 231152.
 2004 07 951130·
 2004 06 01151·
 2004 05 751126·
 2004 04 721062.
 2004 03 401001.
 2004 02 23971.
 2004 01 90962·
 2003 12  84957.
 2003 11  991022·
 2003 10  811090.
 2003 09  57993.
 2003 08  851090.
 2003 07  281077·
 2003 06  611043.
 2003 05  941049.
 2003 04  231017.
 2003 03  91011·
 2003 02  781019·
 2003 01  461138.
 2002 12 761109·
 2002 11 491143.
 2002 10 671240·
 2002 09 821144.
 2002 08 441164.
 2002 07 791183.
 2002 06 941081·
 2002 05 961118.
 2002 04 511122.
 2002 03 561150.
 2002 02 441087·
 2002 01 61094.
 2001 12  481046.
 2001 11  621018·
 2001 10  321120.
 2001 09  581113.
 2001 08  111126·
 2001 07  31179·
 2001 06  95943.
 2001 05  211055·
 2001 04  391067.
 2001 03  101091·
 2001 02  961051.
 2001 01  88964.
 2000 12 60934·
 2000 11 41937.
 2000 10 231036.
 2000 09 781121.
 2000 08 211112·
 2000 07 771122.
 2000 06 881080.
 2000 05 371110.
 2000 04 01105.
 2000 03 251090.
 2000 02 301106·
 2000 01 321061·
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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 -Managerial, Business, and Financial Operations Occupations in Agriculture and Related Industries: 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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