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 Series Title: Employed: Manufacturing, White: 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 2116573.
 2000 02 6316719·
 2000 03 7716826.
 2000 04 1116709.
 2000 05 3516703.
 2000 06 2116700·
 2000 07 4416345·
 2000 08 916411·
 2000 09 216165.
 2000 10 6416047.
 2000 11 9916184.
 2000 12 9416279.
 2001 01  7315998·
 2001 02  7616042.
 2001 03  5615996.
 2001 04  915814·
 2001 05  2415760.
 2001 06  6115739·
 2001 07  5115383.
 2001 08  2315084·
 2001 09  5515041·
 2001 10  5314977.
 2001 11  4914936.
 2001 12  3115047·
 2002 01 9114702·
 2002 02 714755.
 2002 03 3714808·
 2002 04 5114624.
 2002 05 8414494·
 2002 06 514388.
 2002 07 2714386.
 2002 08 2914329.
 2002 09 714084·
 2002 10 5414278.
 2002 11 5814367·
 2002 12 3214308·
 2003 01  6214397·
 2003 02  8514489·
 2003 03  9314261·
 2003 04  5614213.
 2003 05  7413944.
 2003 06  5613877.
 2003 07  2013827·
 2003 08  1914007·
 2003 09  9313762.
 2003 10  4714126·
 2003 11  5114042·
 2003 12  6514082·
 2004 01 9513972·
 2004 02 6613773.
 2004 03 2413863.
 2004 04 6413824·
 2004 05 8013973·
 2004 06 4413808.
 2004 07 213720·
 2004 08 1013812.
 2004 09 7413636.
 2004 10 3713528·
 2004 11 7413521.
 2004 12 2113765·
 2005 01  2713487.
 2005 02  2813359·
 2005 03  5113381.
 2005 04  4313287·
 2005 05  1413441·
 2005 06  2213584·
 2005 07  7313385.
 2005 08  4313363.
 2005 09  3513442.
 2005 10  5213424.
 2005 11  113567·
 2005 12  1713800.
 2006 01 1713959·
 2006 02 7513840·
 2006 03 2413926.
 2006 04 8313523.
 2006 05 913504.
 2006 06 7113626·
 2006 07 5413554.
 2006 08 8613529·
 2006 09 8713645·
 2006 10 4813606·
 2006 11 3013438·
 2006 12 9513565.
 2007 01  5113351·
 2007 02  3713713.
 2007 03  1413608·
 2007 04  313461.
 2007 05  2713560·
 2007 06  9413343.
 2007 07  9513622.
 2007 08  3013501.
 2007 09  6513588·
 2007 10  213714.
 2007 11  8413728·
 2007 12  2113612·
 2008 01 4113282.
 2008 02 6713231.
 2008 03 2113226.
 2008 04 4313245·
 2008 05 5413077.
 2008 06 2113189.
 2008 07 6713417.
 2008 08 9313392.
 2008 09 3013276·
 2008 10 2013076·
 2008 11 1112901·
 2008 12 8712452.
 2009 01  2112072·
 2009 02  4612004·
 2009 03  6611890·
 2009 04  7211881.
 2009 05  011923.
 2009 06  612016.
 2009 07  6912129·
 2009 08  1512071.
 2009 09  6812106·
 2009 10  3111904·
 2009 11  8411503.
 2009 12  1111247.
 2010 01 5111174.
 2010 02 7811349.
 2010 03 9811375.
 2010 04 7911582·
 2010 05 011770·
 2010 06 2911894.
 2010 07 2512180·
 2010 08 6312074·
 2010 09 8911911.
 2010 10 8911939·
 2010 11 111839·
 2010 12 3311878.
 2011 01  1911806.
 2011 02  9211733·
 2011 03  9111753.
 2011 04  8312038·
 2011 05  1511782.
 2011 06  9311906.
 2011 07  8111904·
 2011 08  3111856·
 2011 09  2812108.
 2011 10  7412130·
 2011 11  8612128·
 2011 12  2112171.
 2012 01 3311853·
 2012 02 4212036·
 2012 03 4212110·
 2012 04 2412134·
 2012 05 3012089·
 2012 06 2812139.
 2012 07 1212128.
 2012 08 3312031.
 2012 09 4612255.
 2012 10 8912333.
 2012 11 8512242·
 2012 12 6712101·
 2013 01  3011905.
 2013 02  711980.
 2013 03  7411924·
 2013 04  7111850.
 2013 05  5711969.
 2013 06  8811986.
 2013 07  1512022·
 2013 08  1312132·
 2013 09  2912169.
 2013 10  6512129.
 2013 11  7312404·
 2013 12  8712248.
 2014 01 7012393·
 2014 02 9212341.
 2014 03 3512153.
 2014 04 1412124.
 2014 05 3112205.
 2014 06 5312386.
 2014 07 1412336.
 2014 08 3612515.
 2014 09 8712214·
 2014 10 5412068·
 2014 11 4711925·
 2014 12 2312114·
 2015 01  3912349.
 2015 02  2712226.
 2015 03  9912141.
 2015 04  7012206.
 2015 05  1112171.
 2015 06  2712298.
 2015 07  5612739.
 2015 08  9512610.
 2015 09  5612554.
 2015 10  3812823·
 2015 11  3112438.
 2015 12  4212399·
 2016 01 4712334·
 2016 02 6412210·
 2016 03 6312467·
 2016 04 8112291.
 2016 05 8512233.
 2016 06 3912206.
 2016 07 1412200·
 2016 08 612382.
 2016 09 9612604·
 2016 10 1912901·
 2016 11 7212655·
 2016 12 3612434·
 2017 01  2912081.
 2017 02  8512064·
 2017 03  5012234·
 2017 04  1512431.
 2017 05  6212296.


 2017 06  4412247.
 2017 07  8612432.
 2017 08  1212012·
 2017 09  9212288.
 2017 10  2712527·
 2017 11  4312703.
 2017 12  2112509·
 2018 01 4712192·
 2018 02 9212241.
 2018 03 912315·
 2018 04 6212433.
 2018 05 7712247.
 2018 06 2012168·
 2018 07 9612176.
 2018 08 7812036·
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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: Employed: Manufacturing, White: 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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