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 Series Title: Employment Level: Transportation and Material Moving Occupations in Manufacturing Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 971693·
 2000 02 931667·
 2000 03 351678·
 2000 04 131559·
 2000 05 421440.
 2000 06 381494·
 2000 07 181507·
 2000 08 331489.
 2000 09 101473.
 2000 10 371454·
 2000 11 591492·
 2000 12 71474.
 2001 01  511525·
 2001 02  721488·
 2001 03  691420·
 2001 04  801472.
 2001 05  401407.
 2001 06  511338.
 2001 07  871399.
 2001 08  221414.
 2001 09  781438·
 2001 10  41411·
 2001 11  761321·
 2001 12  261302·
 2002 01 901310·
 2002 02 881404·
 2002 03 241395·
 2002 04 111397·
 2002 05 271375·
 2002 06 861297.
 2002 07 431296.
 2002 08 221245.
 2002 09 631257·
 2002 10 21309·
 2002 11 721381·
 2002 12 281384.
 2003 01  01394·
 2003 02  701471.
 2003 03  731391.
 2003 04  221337.
 2003 05  631291·
 2003 06  461216.
 2003 07  351235·
 2003 08  251324.
 2003 09  11325.
 2003 10  121333.
 2003 11  701400.
 2003 12  801470·
 2004 01 921360.
 2004 02 731355·
 2004 03 151296·
 2004 04 561332.
 2004 05 341426·
 2004 06 631325·
 2004 07 351237·
 2004 08 481283·
 2004 09 531316.
 2004 10 361259.
 2004 11 171241·
 2004 12 741291.
 2005 01  01189.
 2005 02  761297·
 2005 03  731288·
 2005 04  791247·
 2005 05  501231.
 2005 06  891291·
 2005 07  421382.
 2005 08  321341·
 2005 09  41322·
 2005 10  51270.
 2005 11  861279·
 2005 12  271301.
 2006 01 861303.
 2006 02 831368·
 2006 03 941378.
 2006 04 831303·
 2006 05 481361.
 2006 06 31383·
 2006 07 791329·
 2006 08 441408.
 2006 09 641395·
 2006 10 731358·
 2006 11 771260.
 2006 12 801286·
 2007 01  351248·
 2007 02  231242.
 2007 03  521155.
 2007 04  841155.
 2007 05  871245.
 2007 06  111226·
 2007 07  931352·
 2007 08  761285.
 2007 09  691295·
 2007 10  191274.
 2007 11  111317.
 2007 12  01330·
 2008 01 581277.
 2008 02 521353.
 2008 03 451282·
 2008 04 251281.
 2008 05 531217·
 2008 06 421201.
 2008 07 581279·
 2008 08 451311.
 2008 09 801256.
 2008 10 471199·
 2008 11 371175·
 2008 12 801173.
 2009 01  901147.
 2009 02  471203·
 2009 03  961165·
 2009 04  721111·
 2009 05  571046·
 2009 06  501105.
 2009 07  721118·
 2009 08  931062·
 2009 09  821121.
 2009 10  861084·
 2009 11  281094.
 2009 12  351042·
 2010 01 911096.
 2010 02 141009.
 2010 03 52929·
 2010 04 181023·
 2010 05 341000·
 2010 06 131020·
 2010 07 571156·
 2010 08 861171.
 2010 09 861199·
 2010 10 921212.
 2010 11 811193.
 2010 12 81091·
 2011 01  48985·
 2011 02  811012·
 2011 03  87976.
 2011 04  781058.
 2011 05  451086.
 2011 06  371137·
 2011 07  631150·
 2011 08  161167·
 2011 09  271134·
 2011 10  421178·
 2011 11  211146.
 2011 12  651102·
 2012 01 711178.
 2012 02 31195.
 2012 03 01138.
 2012 04 951117·
 2012 05 751094·
 2012 06 511093·
 2012 07 611125·
 2012 08 01158.
 2012 09 661116·
 2012 10 431095·
 2012 11 951113.
 2012 12 991111.
 2013 01  951039.
 2013 02  601115·
 2013 03  121132.
 2013 04  361109.
 2013 05  351106.
 2013 06  91134·
 2013 07  511049.
 2013 08  801061.
 2013 09  891148·
 2013 10  221098·
 2013 11  751131.
 2013 12  261170.
 2014 01 811144.
 2014 02 551194.
 2014 03 721172.
 2014 04 921237·
 2014 05 611224.
 2014 06 901257·
 2014 07 551211.
 2014 08 231242·
 2014 09 51246·
 2014 10 341181·
 2014 11 611216.
 2014 12 871254·
 2015 01  141347.
 2015 02  181257·
 2015 03  531235·
 2015 04  801249·
 2015 05  121151·
 2015 06  991162·
 2015 07  201285·
 2015 08  191319·
 2015 09  511313.
 2015 10  581345·
 2015 11  741250·
 2015 12  501337.
 2016 01 51223.
 2016 02 31185·
 2016 03 541359.
 2016 04 421257.
 2016 05 751344.
 2016 06 641274·
 2016 07 211205·
 2016 08 881256·
 2016 09 871235.
 2016 10 991282.
 2016 11 641245·
 2016 12 71227.
 2017 01  901147·
 2017 02  891226.
 2017 03  961215.
 2017 04  441326.
 2017 05  601312·
 2017 06  411303.
 2017 07  551213·
 2017 08  691250.


 2017 09  981316·
 2017 10  861273.
 2017 11  31172.
 2017 12  741111·
 2018 01 291110.
 2018 02 821316·
 2018 03 291338·
 2018 04 791383·
 2018 05 31223.
 2018 06 81347·
 2018 07 451351.
 2018 08 291434·
 2018 09 961407·
 2018 10 741433·
 2018 11 901453·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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 Manufacturing Industry: 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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