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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 4016573.
 2000 02 8216719.
 2000 03 8616826.
 2000 04 1916709·
 2000 05 7016703·
 2000 06 2916700.
 2000 07 9116345.
 2000 08 7916411·
 2000 09 9616165·
 2000 10 616047·
 2000 11 2816184.
 2000 12 6816279·
 2001 01  7115998.
 2001 02  9416042.
 2001 03  915996.
 2001 04  3215814.
 2001 05  6915760.
 2001 06  015739.
 2001 07  7415383·
 2001 08  3815084.
 2001 09  9115041.
 2001 10  5614977.
 2001 11  8414936·
 2001 12  8315047·
 2002 01 6214702.
 2002 02 1814755.
 2002 03 2914808·
 2002 04 8314624·
 2002 05 3314494·
 2002 06 6814388·
 2002 07 2014386.
 2002 08 8414329·
 2002 09 7814084.
 2002 10 1314278·
 2002 11 9514367.
 2002 12 5514308.
 2003 01  9914397.
 2003 02  8414489.
 2003 03  1814261·
 2003 04  9014213.
 2003 05  2113944·
 2003 06  3713877·
 2003 07  7613827.
 2003 08  814007.
 2003 09  9413762·
 2003 10  5514126.
 2003 11  8214042·
 2003 12  5314082·
 2004 01 9313972.
 2004 02 4513773.
 2004 03 7413863.
 2004 04 9513824.
 2004 05 1913973.
 2004 06 3713808·
 2004 07 1513720·
 2004 08 2613812.
 2004 09 9713636.
 2004 10 8813528.
 2004 11 9313521·
 2004 12 6813765·
 2005 01  7813487·
 2005 02  8113359·
 2005 03  2113381·
 2005 04  6313287.
 2005 05  3713441·
 2005 06  2113584.
 2005 07  3713385.
 2005 08  8113363.
 2005 09  7513442·
 2005 10  4013424.
 2005 11  313567.
 2005 12  1613800.
 2006 01 1613959.
 2006 02 9613840·
 2006 03 713926·
 2006 04 8713523.
 2006 05 1213504·
 2006 06 6913626·
 2006 07 6313554·
 2006 08 3913529·
 2006 09 3713645.
 2006 10 6613606.
 2006 11 813438.
 2006 12 4013565·
 2007 01  9213351.
 2007 02  1913713.
 2007 03  413608.
 2007 04  8513461.
 2007 05  313560.
 2007 06  8513343.
 2007 07  4113622·
 2007 08  9213501.
 2007 09  1913588·
 2007 10  4513714·
 2007 11  3113728.
 2007 12  613612.
 2008 01 1713282·
 2008 02 613231.
 2008 03 1213226.
 2008 04 9613245.
 2008 05 9613077·
 2008 06 9913189·
 2008 07 4613417.
 2008 08 5713392.
 2008 09 8213276.
 2008 10 8113076.
 2008 11 2212901.
 2008 12 612452·
 2009 01  2612072.
 2009 02  3412004.
 2009 03  5211890.
 2009 04  8911881·
 2009 05  211923.
 2009 06  6512016.
 2009 07  7412129·
 2009 08  7512071.
 2009 09  1112106.
 2009 10  411904.
 2009 11  5211503·
 2009 12  5711247.
 2010 01 7911174.
 2010 02 911349·
 2010 03 7311375·
 2010 04 5511582.
 2010 05 5611770·
 2010 06 6211894·
 2010 07 4912180·
 2010 08 1412074.
 2010 09 1711911·
 2010 10 6811939.
 2010 11 2011839·
 2010 12 111878·
 2011 01  6311806·
 2011 02  6011733·
 2011 03  4711753.
 2011 04  1112038·
 2011 05  1911782.
 2011 06  9411906.
 2011 07  1911904.
 2011 08  6411856·
 2011 09  3512108·
 2011 10  5212130·
 2011 11  4912128·
 2011 12  412171.
 2012 01 8811853.
 2012 02 4012036·
 2012 03 7412110.
 2012 04 9912134·
 2012 05 7612089·
 2012 06 9112139·
 2012 07 5712128.
 2012 08 4412031·
 2012 09 2612255·
 2012 10 6012333.
 2012 11 8712242·
 2012 12 5812101·
 2013 01  8811905.
 2013 02  3011980.
 2013 03  7611924·
 2013 04  8611850.
 2013 05  3811969·
 2013 06  711986.
 2013 07  6112022·
 2013 08  9512132·
 2013 09  7612169·
 2013 10  2212129.
 2013 11  712404.
 2013 12  8112248·
 2014 01 2612393.
 2014 02 3312341·
 2014 03 012153.
 2014 04 6212124.
 2014 05 4112205.
 2014 06 2112386.
 2014 07 5412336·
 2014 08 8312515·
 2014 09 9412214.
 2014 10 9312068·
 2014 11 711925.
 2014 12 1312114.
 2015 01  8712349.
 2015 02  7912226.
 2015 03  2112141.
 2015 04  4612206.
 2015 05  4412171.
 2015 06  3812298.
 2015 07  8412739.
 2015 08  112610·
 2015 09  1712554.
 2015 10  5012823·
 2015 11  1012438.
 2015 12  2212399·
 2016 01 8012334·
 2016 02 2312210.
 2016 03 3612467.
 2016 04 7912291.
 2016 05 3412233.
 2016 06 8712206·
 2016 07 2512200·
 2016 08 6512382·
 2016 09 412604.
 2016 10 012901.
 2016 11 6412655·
 2016 12 9912434.
 2017 01  4212081·
 2017 02  4212064.
 2017 03  6812234.
 2017 04  2712431·
 2017 05  2112296.
 2017 06  2212247.
 2017 07  7312432.
 2017 08  1612012·


 2017 09  4312288·
 2017 10  7012527.
 2017 11  4312703·
 2017 12  6212509.
 2018 01 3212192.
 2018 02 4312241.
 2018 03 6512315.
 2018 04 8312433.
 2018 05 4012247.
 2018 06 2212168·
 2018 07 5312176·
 2018 08 2312036.
 2018 09 4212306.
 2018 10 1512721.
 2018 11 4412777·
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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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