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 Series Title: Employment Level -Transportation and Material Moving Occupations in Agriculture and Related Industries: NSA
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 2012 04 5151.
 2012 03 4058·
 2012 02 553·
 2012 01 1051·
 2011 12  4666·
 2011 11  351.
 2011 10  7563·
 2011 09  8581.
 2011 08  3892·
 2011 07  9594·
 2011 06  77134.
 2011 05  90106·
 2011 04  7992·
 2011 03  9996·
 2011 02  2587.
 2011 01  7079·
 2010 12 4285·
 2010 11 2174·
 2010 10 5590·
 2010 09 9293·
 2010 08 30103.
 2010 07 92113.
 2010 06 31132.
 2010 05 52113·
 2010 04 67104.
 2010 03 70102.
 2010 02 4156.
 2010 01 6861·
 2009 12  373.
 2009 11  3692.
 2009 10  9794.
 2009 09  8577.
 2009 08  1499.
 2009 07  96108.
 2009 06  38103.
 2009 05  7187·
 2009 04  141.
 2009 03  8339·
 2009 02  2743.
 2009 01  2264.
 2008 12 8851·
 2008 11 5273.
 2008 10 5087·
 2008 09 5567·
 2008 08 2675·
 2008 07 8662.
 2008 06 2271·
 2008 05 1655.
 2008 04 9154·
 2008 03 9167·
 2008 02 8057.
 2008 01 7378.
 2007 12  8388·
 2007 11  9883.
 2007 10  8787·
 2007 09  2190.
 2007 08  2788.
 2007 07  6579·
 2007 06  3173.
 2007 05  7852.
 2007 04  7345·
 2007 03  7354.
 2007 02  2474.
 2007 01  8865·
 2006 12 9865.
 2006 11 2953.
 2006 10 569·
 2006 09 2279.
 2006 08 196.
 2006 07 6489·
 2006 06 3797.
 2006 05 7365.
 2006 04 858·
 2006 03 3549.
 2006 02 752·
 2006 01 6058·
 2005 12  6958·
 2005 11  2476·
 2005 10  2874·
 2005 09  2770·
 2005 08  6070·
 2005 07  3772.
 2005 06  3875.
 2005 05  4481·
 2005 04  81100·
 2005 03  672·
 2005 02  159·
 2005 01  479·
 2004 12 5763·
 2004 11 8763.
 2004 10 496·
 2004 09 2787·
 2004 08 3992·
 2004 07 6375·
 2004 06 5968.
 2004 05 5668.
 2004 04 358·
 2004 03 3965·
 2004 02 564·
 2004 01 6262·
 2003 12  4761.
 2003 11  4870.
 2003 10  565·
 2003 09  3878·
 2003 08  9995·
 2003 07  4660.
 2003 06  4667.
 2003 05  453.
 2003 04  864.
 2003 03  1465.
 2003 02  4260.
 2003 01  252·
 2002 12 5054.
 2002 11 6072·
 2002 10 3069·
 2002 09 386·
 2002 08 2581·
 2002 07 1663·
 2002 06 7371.
 2002 05 169·
 2002 04 5955.
 2002 03 3670·
 2002 02 6079.
 2002 01 1595.
 2001 12  184.
 2001 11  476.
 2001 10  279·
 2001 09  8997·
 2001 08  2891·
 2001 07  2683·
 2001 06  3857·
 2001 05  9264.
 2001 04  3964·
 2001 03  3463·
 2001 02  3173·
 2001 01  18110·
 2000 12 61117·
 2000 11 8394.
 2000 10 6978·
 2000 09 8760·
 2000 08 4376.
 2000 07 5774.
 2000 06 6490·
 2000 05 4282·
 2000 04 6176.
 2000 03 61103·
 2000 02 5590.
 2000 01 5372.
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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 -Transportation and Material Moving 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

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