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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 6016573.
 2000 02 4416719·
 2000 03 2316826·
 2000 04 9316709.
 2000 05 7616703·
 2000 06 9216700·
 2000 07 6716345·
 2000 08 5716411.
 2000 09 9516165·
 2000 10 7516047·
 2000 11 5016184·
 2000 12 5616279.
 2001 01  6915998·
 2001 02  7716042·
 2001 03  8415996.
 2001 04  3615814·
 2001 05  7215760.
 2001 06  215739.
 2001 07  715383·
 2001 08  6515084·
 2001 09  515041.
 2001 10  8314977.
 2001 11  8214936·
 2001 12  3815047·
 2002 01 9414702.
 2002 02 7714755.
 2002 03 9714808·
 2002 04 7314624·
 2002 05 8914494.
 2002 06 6514388.
 2002 07 6514386.
 2002 08 1514329·
 2002 09 6414084·
 2002 10 5414278.
 2002 11 2314367·
 2002 12 3414308·
 2003 01  2214397.
 2003 02  7514489.
 2003 03  3614261.
 2003 04  2214213·
 2003 05  8613944.
 2003 06  8613877·
 2003 07  8913827.
 2003 08  014007·
 2003 09  813762.
 2003 10  6714126.
 2003 11  9814042·
 2003 12  1114082·
 2004 01 6213972·
 2004 02 2613773·
 2004 03 9813863.
 2004 04 2513824.
 2004 05 4913973.
 2004 06 9313808.
 2004 07 5413720.
 2004 08 3513812.
 2004 09 9513636·
 2004 10 2613528·
 2004 11 5313521·
 2004 12 6213765·
 2005 01  5013487·
 2005 02  713359·
 2005 03  813381.
 2005 04  4813287·
 2005 05  9013441·
 2005 06  4113584·
 2005 07  5613385·
 2005 08  6313363.
 2005 09  1413442.
 2005 10  6113424·
 2005 11  6213567.
 2005 12  213800.
 2006 01 4813959.
 2006 02 2313840·
 2006 03 1213926·
 2006 04 8313523.
 2006 05 4213504.
 2006 06 913626.
 2006 07 2013554·
 2006 08 5113529·
 2006 09 7313645·
 2006 10 2613606.
 2006 11 2313438.
 2006 12 7413565·
 2007 01  3913351.
 2007 02  513713.
 2007 03  8513608·
 2007 04  4713461·
 2007 05  6813560.
 2007 06  213343·
 2007 07  9213622·
 2007 08  8913501·
 2007 09  813588.
 2007 10  013714·
 2007 11  5913728.
 2007 12  4513612.
 2008 01 3613282.
 2008 02 513231.
 2008 03 2313226·
 2008 04 8213245·
 2008 05 5113077·
 2008 06 4913189·
 2008 07 4713417·
 2008 08 9613392.
 2008 09 8013276·
 2008 10 8813076·
 2008 11 1812901.
 2008 12 612452·
 2009 01  7212072.
 2009 02  412004.
 2009 03  5011890.
 2009 04  5511881.
 2009 05  411923·
 2009 06  312016·
 2009 07  8112129.
 2009 08  1312071·
 2009 09  7512106·
 2009 10  1811904·
 2009 11  7311503.
 2009 12  7411247·
 2010 01 1011174·
 2010 02 511349·
 2010 03 1511375·
 2010 04 5711582·
 2010 05 6111770·
 2010 06 4511894.
 2010 07 1912180·
 2010 08 612074·
 2010 09 211911·
 2010 10 4611939·
 2010 11 2211839.
 2010 12 9111878.
 2011 01  3511806·
 2011 02  3811733.
 2011 03  8911753.
 2011 04  512038·
 2011 05  8311782·
 2011 06  7911906·
 2011 07  711904·
 2011 08  6811856.
 2011 09  9812108·
 2011 10  5012130.
 2011 11  8912128·
 2011 12  2412171·
 2012 01 5611853·
 2012 02 5812036.
 2012 03 7212110·
 2012 04 4112134.
 2012 05 5612089·
 2012 06 3412139.
 2012 07 2012128.
 2012 08 1512031·
 2012 09 2412255·
 2012 10 3512333·
 2012 11 2112242.
 2012 12 6412101·
 2013 01  1011905·
 2013 02  4311980.
 2013 03  8611924·
 2013 04  3211850.
 2013 05  9011969.
 2013 06  6411986·
 2013 07  5512022.
 2013 08  8912132·
 2013 09  6412169.
 2013 10  3012129·
 2013 11  9012404·
 2013 12  2812248.
 2014 01 5712393.
 2014 02 9712341.
 2014 03 8012153.
 2014 04 7012124.
 2014 05 2012205·
 2014 06 4812386·
 2014 07 3612336.
 2014 08 5712515.
 2014 09 2912214·
 2014 10 8912068.
 2014 11 9711925.
 2014 12 5912114.
 2015 01  8312349.
 2015 02  5112226·
 2015 03  2512141.
 2015 04  7012206.
 2015 05  812171.
 2015 06  9212298·
 2015 07  912739.
 2015 08  1012610.
 2015 09  5412554·
 2015 10  9212823.
 2015 11  6212438.
 2015 12  2212399·
 2016 01 9812334·
 2016 02 5812210.
 2016 03 2112467.
 2016 04 7612291.
 2016 05 3812233·
 2016 06 2312206.
 2016 07 5012200·
 2016 08 6612382.
 2016 09 112604.
 2016 10 4312901·
 2016 11 3512655·
 2016 12 1112434.
 2017 01  3812081·
 2017 02  9812064.


 2017 03  9112234·
 2017 04  5412431.
 2017 05  2212296.
 2017 06  9712247·
 2017 07  5412432.
 2017 08  6612012.
 2017 09  5512288.
 2017 10  7112527.
 2017 11  8912703.
 2017 12  4012509.
 2018 01 6312192.
 2018 02 7512241·
 2018 03 8212315.
 2018 04 9612433.
 2018 05 9512247·
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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