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 Series Title: Employment Level -Sales and Related in Agriculture and Related Industries: NSA
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 2012 04 8612·
 2012 03 135.
 2012 02 656·
 2012 01 126·
 2011 12  5115.
 2011 11  7915·
 2011 10  9615·
 2011 09  3126.
 2011 08  9523.
 2011 07  5635.
 2011 06  4028·
 2011 05  6115.
 2011 04  6815·
 2011 03  258.
 2011 02  119·
 2011 01  4720·
 2010 12 4627·
 2010 11 9429·
 2010 10 4630·
 2010 09 5718.
 2010 08 295·
 2010 07 9413.
 2010 06 910.
 2010 05 8520.
 2010 04 4328.
 2010 03 8121·
 2010 02 8616.
 2010 01 5221.
 2009 12  3731·
 2009 11  3823.
 2009 10  9119.
 2009 09  013.
 2009 08  8714·
 2009 07  7014·
 2009 06  6124·
 2009 05  9912·
 2009 04  946.
 2009 03  97.
 2009 02  616·
 2009 01  4312.
 2008 12 8310·
 2008 11 1315.
 2008 10 7721·
 2008 09 5211·
 2008 08 411·
 2008 07 637·
 2008 06 2212·
 2008 05 69
 2008 04 33
 2008 03 6510·
 2008 02 3510.
 2008 01 6413·
 2007 12  7022.
 2007 11  5016.
 2007 10  788.
 2007 09  305.
 2007 08  414·
 2007 07  774·
 2007 06  39
 2007 05  876.
 2007 04  953.
 2007 03  266.
 2007 02  317·
 2007 01  795.
 2006 12 98·
 2006 11 47.
 2006 10 924.
 2006 09 765.
 2006 08 8311·
 2006 07 4216.
 2006 06 8415·
 2006 05 709.
 2006 04 417.
 2006 03 985.
 2006 02 966.
 2006 01 827·
 2005 12  3614·
 2005 11  5218·
 2005 10  4115·
 2005 09  5618.
 2005 08  4119.
 2005 07  1224·
 2005 06  5624·
 2005 05  6015.
 2005 04  57
 2005 03  94.
 2005 02  51.
 2005 01  893·
 2004 12 107·
 2004 11 06·
 2004 10 7520.
 2004 09 6219·
 2004 08 5028.
 2004 07 6621·
 2004 06 797·
 2004 05 2313.
 2004 04 528·
 2004 03 1411.
 2004 02 557·
 2004 01 413·
 2003 12  178.
 2003 11  763.
 2003 10  6610·
 2003 09  1113·
 2003 08  718.
 2003 07  98·
 2003 06  996·
 2003 05  521·
 2003 04  631.
 2003 03  938.
 2003 02  690·
 2003 01  7
 2002 12 698.
 2002 11 36
 2002 10 1114·
 2002 09 4614·
 2002 08 89
 2002 07 6928.
 2002 06 9131.
 2002 05 6219·
 2002 04 4912·
 2002 03 507·
 2002 02 941.
 2002 01 761.
 2001 12  0
 2001 11  589.
 2001 10  3517·
 2001 09  3115·
 2001 08  1623.
 2001 07  224·
 2001 06  5115·
 2001 05  9711·
 2001 04  988.
 2001 03  13
 2001 02  513·
 2001 01  6717.
 2000 12 7122·
 2000 11 4722.
 2000 10 859.
 2000 09 617·
 2000 08 868.
 2000 07 865.
 2000 06 410.
 2000 05 229.
 2000 04 1811·
 2000 03 377.
 2000 02 991·
 2000 01 21
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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 -Sales and Related in Agriculture and Related Industries: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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