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 Series Title: Unemployment Rate: Transportation and Material Moving Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 76.6
 2000 02 416.7
 2000 03 706·5
 2000 04 905·9
 2000 05 225·0
 2000 06 894·9
 2000 07 145·6
 2000 08 535·7
 2000 09 425·2
 2000 10 724.8
 2000 11 974·8
 2000 12 535.0
 2001 01  166·5
 2001 02  736.7
 2001 03  316.8
 2001 04  335·6
 2001 05  194.8
 2001 06  996·1
 2001 07  545·3
 2001 08  625·4
 2001 09  525·4
 2001 10  806.5
 2001 11  297·2
 2001 12  347.8
 2002 01 419.7
 2002 02 748·6
 2002 03 448.6
 2002 04 707.3
 2002 05 366.7
 2002 06 627·2
 2002 07 127.2
 2002 08 126.8
 2002 09 116·2
 2002 10 516.8
 2002 11 706.5
 2002 12 307.7
 2003 01  699.5
 2003 02  729·0
 2003 03  829.0
 2003 04  198.3
 2003 05  338·5
 2003 06  839.4
 2003 07  368.8
 2003 08  977.4
 2003 09  546.4
 2003 10  647·0
 2003 11  458·1
 2003 12  87.5
 2004 01 98·9
 2004 02 228·6
 2004 03 457·9
 2004 04 227·5
 2004 05 967.2
 2004 06 907·1
 2004 07 17·5
 2004 08 327.0
 2004 09 426·2
 2004 10 237·0
 2004 11 06·7
 2004 12 587.1
 2005 01  977·5
 2005 02  47.2
 2005 03  556.6
 2005 04  456.2
 2005 05  375·3
 2005 06  386.6
 2005 07  36.3
 2005 08  605.7
 2005 09  615.3
 2005 10  585·3
 2005 11  95.7
 2005 12  996·1
 2006 01 957.6
 2006 02 207.4
 2006 03 596·6
 2006 04 806.7
 2006 05 896·6
 2006 06 65·8
 2006 07 676.9
 2006 08 485·8
 2006 09 194·4
 2006 10 235·0
 2006 11 705.6
 2006 12 715.9
 2007 01  867·6
 2007 02  26·7
 2007 03  316·7
 2007 04  445.4
 2007 05  145.0
 2007 06  995.5
 2007 07  396·7
 2007 08  865.3
 2007 09  556.3
 2007 10  975·6
 2007 11  65·7
 2007 12  426.0
 2008 01 838.2
 2008 02 27·2
 2008 03 707·1
 2008 04 795·9
 2008 05 985.9
 2008 06 467·2
 2008 07 937.4
 2008 08 937·3
 2008 09 278.9
 2008 10 857.9
 2008 11 659·0
 2008 12 39.6
 2009 01  1912.1
 2009 02  112·5
 2009 03  9712·7
 2009 04  5212·5
 2009 05  5111.8
 2009 06  011·6
 2009 07  2811·3
 2009 08  1011·8
 2009 09  2212·1
 2009 10  1511.6
 2009 11  2011.7
 2009 12  7112.2
 2010 01 5715·0
 2010 02 215.0
 2010 03 6215.6
 2010 04 5413.2
 2010 05 812.7
 2010 06 4211·8
 2010 07 6511·9
 2010 08 310.3
 2010 09 4910.2
 2010 10 4310.0
 2010 11 6911.3
 2010 12 8812.0
 2011 01  8113.6
 2011 02  3513·6
 2011 03  3612.8
 2011 04  212.0
 2011 05  3010·7
 2011 06  7610·8
 2011 07  5411·0
 2011 08  6511·6
 2011 09  4510·9
 2011 10  4710·2
 2011 11  3610.1
 2011 12  2010.1
 2012 01 311·3
 2012 02 5512·0
 2012 03 1911·2
 2012 04 3810·0
 2012 05 310.1
 2012 06 3110.3
 2012 07 6710.1
 2012 08 1210.8
 2012 09 719·3
 2012 10 329.3
 2012 11 679·4
 2012 12 619.8


 2013 01  5711·7
 2013 02  3910·9
 2013 03  3310·5
 2013 04  299·0
 2013 05  379.0
 2013 06  618.6
 2013 07  29·0
 2013 08  868.5
 2013 09  108.0
 2013 10  279·5
 2013 11  379·0
 2013 12  258·4
 2014 01 410.0
 2014 02 9410·2
 2014 03 269.2
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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: Unemployment Rate: Transportation and Material Moving Occupations: 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

Make charts for Okun's Law and Phillip's Curve

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