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 Series Title: Employment Level: Transportation and Material Moving Occupations in Retail Trade Industry: NSA
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 2000 01 151353·
 2000 02 521314.
 2000 03 541261.
 2000 04 791279.
 2000 05 111275.
 2000 06 341161.
 2000 07 351229.
 2000 08 331164.
 2000 09 241122.
 2000 10 641194.
 2000 11 671207·
 2000 12 351222·
 2001 01  31203.
 2001 02  241163·
 2001 03  631216.
 2001 04  291235·
 2001 05  251287·
 2001 06  201323.
 2001 07  601260·
 2001 08  861253.
 2001 09  891277.
 2001 10  861280·
 2001 11  221178·
 2001 12  991163.
 2002 01 211075·
 2002 02 761177·
 2002 03 371174·
 2002 04 871107.
 2002 05 711125.
 2002 06 731187·
 2002 07 171108.
 2002 08 941207.
 2002 09 151208.
 2002 10 831202·
 2002 11 01231·
 2002 12 901240.
 2003 01  531132·
 2003 02  381172.
 2003 03  491172.
 2003 04  681206.
 2003 05  101217.
 2003 06  951251·
 2003 07  521295·
 2003 08  491256.
 2003 09  371294·
 2003 10  341356·
 2003 11  221349·
 2003 12  751382.
 2004 01 101355.
 2004 02 641317.
 2004 03 971239.
 2004 04 161239·
 2004 05 281249.
 2004 06 161203.
 2004 07 401253·
 2004 08 671297.
 2004 09 171256.
 2004 10 451269.
 2004 11 381315·
 2004 12 461366.
 2005 01  281320·
 2005 02  341326.
 2005 03  51265·
 2005 04  971251.
 2005 05  351266.
 2005 06  901240.
 2005 07  781258.
 2005 08  901253·
 2005 09  401252.
 2005 10  441299·
 2005 11  211286·
 2005 12  191296·
 2006 01 671297·
 2006 02 521199·
 2006 03 201253·
 2006 04 21249.
 2006 05 671254·
 2006 06 971276·
 2006 07 901229·
 2006 08 851277.
 2006 09 161280.
 2006 10 851293.
 2006 11 671331.
 2006 12 361243.
 2007 01  131137.
 2007 02  471100·
 2007 03  161117.
 2007 04  491120·
 2007 05  851214·
 2007 06  411308·
 2007 07  231252.
 2007 08  441156·
 2007 09  811108·
 2007 10  481157.
 2007 11  21202.
 2007 12  641248·
 2008 01 761228·
 2008 02 741257·
 2008 03 901254.
 2008 04 791265·
 2008 05 731255.
 2008 06 521229.
 2008 07 511329·
 2008 08 831347·
 2008 09 951304·
 2008 10 371307.
 2008 11 721260·
 2008 12 951289·
 2009 01  931240·
 2009 02  121261.
 2009 03  661290·
 2009 04  601272·
 2009 05  421207.
 2009 06  831181·
 2009 07  711149.
 2009 08  451106·
 2009 09  441188.
 2009 10  811140.
 2009 11  501274.
 2009 12  461227.
 2010 01 231192.
 2010 02 641215·
 2010 03 911221.
 2010 04 821221·
 2010 05 291190·
 2010 06 141164.
 2010 07 71188.
 2010 08 961199.
 2010 09 381148.
 2010 10 351175.
 2010 11 351195.
 2010 12 581231.
 2011 01  511126.
 2011 02  621066.
 2011 03  39989·
 2011 04  621124·
 2011 05  931112.
 2011 06  491187.
 2011 07  61216·
 2011 08  281112·
 2011 09  141179.
 2011 10  781158.
 2011 11  501184·
 2011 12  991163·
 2012 01 901208.


 2012 02 571187.
 2012 03 71251·
 2012 04 441211.
 2012 05 201290·
 2012 06 171292·
 2012 07 421311.
 2012 08 571141.
 2012 09 311071.
 2012 10 151194.
 2012 11 421183.
 2012 12 591217.
 2013 01  731216.
 2013 02  311104·
 2013 03  201150·
 2013 04  921185·
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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 Retail Trade Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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