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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Machinery Manufacturing: 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 9826·
 2000 02 1933.
 2000 03 046·
 2000 04 2563.
 2000 05 150·
 2000 06 3957.
 2000 07 5159·
 2000 08 7848·
 2000 09 4537.
 2000 10 3144·
 2000 11 7751·
 2000 12 645·
 2001 01  8149·
 2001 02  7944.
 2001 03  9162·
 2001 04  5144.
 2001 05  8461·
 2001 06  8954·
 2001 07  3358·
 2001 08  8376.
 2001 09  5587·
 2001 10  9291.
 2001 11  6493·
 2001 12  9699.
 2002 01 19115·
 2002 02 4594·
 2002 03 73118·
 2002 04 997·
 2002 05 2568·
 2002 06 30109.
 2002 07 7289.
 2002 08 6794·
 2002 09 5189.
 2002 10 5396·
 2002 11 99101.
 2002 12 3892.
 2003 01  9686.
 2003 02  4664.
 2003 03  17105·
 2003 04  1789.
 2003 05  8565·
 2003 06  6580·
 2003 07  1590.
 2003 08  23100·
 2003 09  69101.
 2003 10  9379·
 2003 11  487.
 2003 12  063·
 2004 01 2370.
 2004 02 3681·
 2004 03 23108·
 2004 04 1699.
 2004 05 4869·
 2004 06 2585·
 2004 07 3556·
 2004 08 6788.
 2004 09 6872·
 2004 10 1788·
 2004 11 2779·
 2004 12 7168·
 2005 01  3650.
 2005 02  9555·
 2005 03  1354·
 2005 04  7355.
 2005 05  2541.
 2005 06  6345.
 2005 07  3046·
 2005 08  4149·
 2005 09  3643·
 2005 10  5549.
 2005 11  4269.
 2005 12  7168·
 2006 01 9545·
 2006 02 2634·
 2006 03 3628.
 2006 04 8037·
 2006 05 5231.
 2006 06 5953.
 2006 07 2441.
 2006 08 1358.
 2006 09 8234.
 2006 10 6037·
 2006 11 4623·
 2006 12 3949.
 2007 01  8660·
 2007 02  6055.
 2007 03  6459.
 2007 04  5335.
 2007 05  8951.
 2007 06  1738·
 2007 07  6544.
 2007 08  7343·
 2007 09  4129.
 2007 10  1141.
 2007 11  6351.
 2007 12  4442·
 2008 01 1980.
 2008 02 5171.
 2008 03 9571·
 2008 04 3479·
 2008 05 2263·
 2008 06 6660.
 2008 07 2576.
 2008 08 3875.
 2008 09 7678.
 2008 10 1470·
 2008 11 4083.
 2008 12 7691·
 2009 01  30131·
 2009 02  77114.
 2009 03  53140·
 2009 04  90159.
 2009 05  62151.
 2009 06  61154·
 2009 07  3161·
 2009 08  51146·
 2009 09  70171·
 2009 10  97183·
 2009 11  51168.
 2009 12  53140·
 2010 01 80139·
 2010 02 43149·
 2010 03 86138·
 2010 04 14128·
 2010 05 43118.
 2010 06 80127.
 2010 07 21130·
 2010 08 78121.
 2010 09 34115.
 2010 10 15112.
 2010 11 93114.
 2010 12 1694·
 2011 01  5486.
 2011 02  79105·
 2011 03  6681·
 2011 04  21108·
 2011 05  2786.
 2011 06  2996.
 2011 07  2898·
 2011 08  1188.
 2011 09  582.
 2011 10  4696.
 2011 11  90107·
 2011 12  3299.
 2012 01 6267·
 2012 02 3890.
 2012 03 9272.
 2012 04 5368·
 2012 05 9957·
 2012 06 3654.
 2012 07 9688·
 2012 08 67102.
 2012 09 42100·
 2012 10 9681·
 2012 11 9081·
 2012 12 9497·
 2013 01  40109.
 2013 02  168·
 2013 03  8771.
 2013 04  7857.
 2013 05  7070.
 2013 06  5664.
 2013 07  2566.
 2013 08  8732·
 2013 09  3154.
 2013 10  9461.
 2013 11  6662·
 2013 12  1751·
 2014 01 4959·
 2014 02 7150.
 2014 03 9871·
 2014 04 8663·
 2014 05 7579.
 2014 06 6866·
 2014 07 3672.
 2014 08 3968·
 2014 09 8392·
 2014 10 9369.
 2014 11 1534.
 2014 12 4458·
 2015 01  7569.
 2015 02  7748·
 2015 03  048·
 2015 04  9657.
 2015 05  7538·
 2015 06  7732·
 2015 07  7841·
 2015 08  1438·
 2015 09  3344·
 2015 10  7365·
 2015 11  6155·
 2015 12  4148·
 2016 01 2758·
 2016 02 7444.
 2016 03 8938.
 2016 04 4835·
 2016 05 5456·
 2016 06 1146·
 2016 07 2344.
 2016 08 2866.
 2016 09 4254.
 2016 10 3951·
 2016 11 5252·
 2016 12 146·
 2017 01  4155·
 2017 02  4257.
 2017 03  8940.
 2017 04  1023.
 2017 05  2530.
 2017 06  2519·
 2017 07  7123.
 2017 08  2535.


 2017 09  9639·
 2017 10  2036.
 2017 11  6236.
 2017 12  3945.
 2018 01 7838·
 2018 02 8436.
 2018 03 4820.
 2018 04 7317·
 2018 05 2221.
 2018 06 9834.
 2018 07 4429.
 2018 08 7029.
 2018 09 446.
 2018 10 6931.
 2018 11 8716·
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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 Level: Nonagricultural Private Wage and Salary Workers, Machinery Manufacturing: 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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