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 Series Title: Employed: Nondurable goods manufacturing, Asian: NSA
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 2000 01 64295·
 2000 02 20311·
 2000 03 63299·
 2000 04 60294.
 2000 05 0291·
 2000 06 73348.
 2000 07 74372.
 2000 08 26311.
 2000 09 33307.
 2000 10 56306·
 2000 11 17308.
 2000 12 22297·
 2001 01  14310·
 2001 02  51290·
 2001 03  5277·
 2001 04  92275·
 2001 05  18288.
 2001 06  63323·
 2001 07  76365·
 2001 08  5323.
 2001 09  46320.
 2001 10  25338.
 2001 11  93394·
 2001 12  55363.
 2002 01 24332·
 2002 02 94314·
 2002 03 43271·
 2002 04 62287·
 2002 05 1284.
 2002 06 50374.
 2002 07 40342.
 2002 08 69385·
 2002 09 52374.
 2002 10 1306·
 2002 11 22321.
 2002 12 46288·
 2003 01  80285·
 2003 02  78289·
 2003 03  51295.
 2003 04  88316.
 2003 05  7301.
 2003 06  38309.
 2003 07  15308·
 2003 08  12337·
 2003 09  86334·
 2003 10  62288.
 2003 11  28284·
 2003 12  63257.
 2004 01 92258·
 2004 02 58309·
 2004 03 26332·
 2004 04 11278.
 2004 05 24281·
 2004 06 56272.
 2004 07 74272·
 2004 08 49272·
 2004 09 9274.
 2004 10 14294.
 2004 11 58252·
 2004 12 96291.
 2005 01  96262.
 2005 02  12226·
 2005 03  92234.
 2005 04  98211·
 2005 05  61207.
 2005 06  59264·
 2005 07  14233.
 2005 08  22249.
 2005 09  5234.
 2005 10  85269.
 2005 11  86263.
 2005 12  64253·
 2006 01 53234·
 2006 02 46211·
 2006 03 97276.
 2006 04 41243.
 2006 05 55285.
 2006 06 26291.
 2006 07 59238·
 2006 08 99234·
 2006 09 86237·
 2006 10 29253·
 2006 11 10215·
 2006 12 6226.
 2007 01  47297.
 2007 02  89259.
 2007 03  13281·
 2007 04  57279·
 2007 05  64249·
 2007 06  61283·
 2007 07  56303·
 2007 08  70289.
 2007 09  87326·
 2007 10  27283.
 2007 11  52281.
 2007 12  91313·
 2008 01 91259·
 2008 02 94313·
 2008 03 39318.
 2008 04 87274.
 2008 05 76319.
 2008 06 93354·
 2008 07 79356.
 2008 08 54331.
 2008 09 69289·
 2008 10 82287.
 2008 11 61247.
 2008 12 10214·
 2009 01  18222.
 2009 02  41217.
 2009 03  98242.
 2009 04  99276.
 2009 05  1279·
 2009 06  78344·
 2009 07  26313.
 2009 08  91315.
 2009 09  17316·
 2009 10  23239·
 2009 11  10214.
 2009 12  80190.
 2010 01 91182.
 2010 02 35222.
 2010 03 37248.
 2010 04 84275·
 2010 05 74288.
 2010 06 93237.
 2010 07 20242.
 2010 08 48279.
 2010 09 41298.
 2010 10 6336·
 2010 11 97327·
 2010 12 42289·
 2011 01  93283·
 2011 02  4294·
 2011 03  31275.
 2011 04  59253.
 2011 05  55259.
 2011 06  44215.
 2011 07  9249·
 2011 08  18252.
 2011 09  78310.
 2011 10  8323.
 2011 11  45298.
 2011 12  64300.
 2012 01 36279·
 2012 02 3269·
 2012 03 76271.
 2012 04 65325.
 2012 05 31331.
 2012 06 60321·
 2012 07 66327·
 2012 08 17290.
 2012 09 88280.
 2012 10 36285·
 2012 11 1289.
 2012 12 37314·
 2013 01  56281.
 2013 02  12326.
 2013 03  96311.
 2013 04  70312.
 2013 05  12375·
 2013 06  95387.
 2013 07  88371.
 2013 08  86373.
 2013 09  56372.
 2013 10  17303·
 2013 11  40338·
 2013 12  78320·
 2014 01 13309·
 2014 02 34302.
 2014 03 40331.
 2014 04 66345·
 2014 05 33339.
 2014 06 28346.
 2014 07 0349.
 2014 08 93387.
 2014 09 93405·
 2014 10 6389.
 2014 11 59282·
 2014 12 29295.
 2015 01  92328.
 2015 02  99351·
 2015 03  79364.
 2015 04  68332·
 2015 05  55338.
 2015 06  63333.
 2015 07  49294.
 2015 08  29328.
 2015 09  34341.
 2015 10  82342.
 2015 11  81344·
 2015 12  57381·
 2016 01 4375.
 2016 02 61354·
 2016 03 13335·
 2016 04 20332.
 2016 05 64302.
 2016 06 31289·
 2016 07 8312·
 2016 08 12333.
 2016 09 41412·
 2016 10 50425.
 2016 11 54398.
 2016 12 53363.
 2017 01  84318.
 2017 02  99396·


 2017 03  64352·
 2017 04  87374.
 2017 05  70391.
 2017 06  85392·
 2017 07  75344.
 2017 08  82405.
 2017 09  98370·
 2017 10  39370.
 2017 11  51336.
 2017 12  34398.
 2018 01 94370·
 2018 02 18336.
 2018 03 80306.
 2018 04 61323.
 2018 05 8357.
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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: Nondurable goods manufacturing, Asian: 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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