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 Series Title: Unemployment Rate: Production, 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 01 445.8
 2000 02 85·7
 2000 03 225·7
 2000 04 205.3
 2000 05 604·8
 2000 06 34.6
 2000 07 105.3
 2000 08 745.1
 2000 09 684.7
 2000 10 224·8
 2000 11 254.7
 2000 12 524·9
 2001 01  176·2
 2001 02  456.3
 2001 03  786.4
 2001 04  985·7
 2001 05  845·5
 2001 06  816·3
 2001 07  86·4
 2001 08  816·1
 2001 09  686·1
 2001 10  596·8
 2001 11  777.4
 2001 12  957·8
 2002 01 949.2
 2002 02 388·2
 2002 03 748.4
 2002 04 598.0
 2002 05 157.1
 2002 06 997.4
 2002 07 117·8
 2002 08 186·9
 2002 09 36.2
 2002 10 486.7
 2002 11 277.4
 2002 12 408.1
 2003 01  619·0
 2003 02  168.5
 2003 03  838.6
 2003 04  198.0
 2003 05  148·1
 2003 06  628.7
 2003 07  698.5
 2003 08  767.5
 2003 09  116·9
 2003 10  656.8
 2003 11  967·7
 2003 12  537·0
 2004 01 288·3
 2004 02 348.2
 2004 03 47·6
 2004 04 217.2
 2004 05 667.0
 2004 06 997.4
 2004 07 547·5
 2004 08 726·8
 2004 09 506·1
 2004 10 176.6
 2004 11 356·7
 2004 12 277.1
 2005 01  317.3
 2005 02  707·4
 2005 03  597.0
 2005 04  306·2
 2005 05  835·5
 2005 06  646.3
 2005 07  646·7
 2005 08  496·2
 2005 09  86.2
 2005 10  326·1
 2005 11  146.3
 2005 12  796·3
 2006 01 307·1
 2006 02 297.1
 2006 03 965·9
 2006 04 396.0
 2006 05 05.7
 2006 06 375.2
 2006 07 236.0
 2006 08 735.5
 2006 09 944.8
 2006 10 645.1
 2006 11 335.5
 2006 12 506·0
 2007 01  116·8
 2007 02  406·5
 2007 03  896·2
 2007 04  645.9
 2007 05  775·1
 2007 06  225·3
 2007 07  796·0
 2007 08  355·2
 2007 09  435.9
 2007 10  935·6
 2007 11  155.7
 2007 12  76·0
 2008 01 847·3
 2008 02 586·6
 2008 03 366·8
 2008 04 486·4
 2008 05 06.3
 2008 06 497·3
 2008 07 47·2
 2008 08 537·6
 2008 09 178.7
 2008 10 238.4
 2008 11 79·2
 2008 12 4110·1
 2009 01  8512·9
 2009 02  6113.1
 2009 03  5813·7
 2009 04  5713·6
 2009 05  8013.7
 2009 06  7113·9
 2009 07  9613·3
 2009 08  6813.5
 2009 09  113.1
 2009 10  8313.0
 2009 11  8312·8
 2009 12  7113·4
 2010 01 7515.2
 2010 02 5515.2
 2010 03 615.9
 2010 04 8213.5
 2010 05 5112·9
 2010 06 6812·0
 2010 07 7912·1
 2010 08 4810.9
 2010 09 511·1
 2010 10 2811·0
 2010 11 4011.8
 2010 12 3611.9
 2011 01  3812.9
 2011 02  6812·9
 2011 03  5112·2
 2011 04  4211·9
 2011 05  7511.3
 2011 06  4411.4
 2011 07  111·2
 2011 08  8311·2
 2011 09  6610·7
 2011 10  379·9
 2011 11  29.8
 2011 12  510·4
 2012 01 8610·8
 2012 02 5511·3


 2012 03 9210·4
 2012 04 769·7
 2012 05 379.4
 2012 06 289·8
 2012 07 349·8
 2012 08 9110·2
 2012 09 438.8
 2012 10 159.0
 2012 11 168·7
 2012 12 699·5
 2013 01  5411·1
 2013 02  9510·0
 2013 03  529·4
 2013 04  538·7
 2013 05  479·3
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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: Unemployment Rate: Production, 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

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