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 Series Title: Employment Level: Nonagriculture, Government Wage and Salary Workers, Mexican: NSA
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 2000 01 191068.
 2000 02 281085.
 2000 03 951043.
 2000 04 46935.
 2000 05 35916.
 2000 06 15936·
 2000 07 42915·
 2000 08 2927.
 2000 09 62982.
 2000 10 45918.
 2000 11 35952.
 2000 12 0985.
 2001 01  481081·
 2001 02  981045·
 2001 03  841046·
 2001 04  851006.
 2001 05  71911·
 2001 06  82975.
 2001 07  30981·
 2001 08  261090.
 2001 09  301075.
 2001 10  271063.
 2001 11  34996.
 2001 12  161076·
 2002 01 501067.
 2002 02 921039·
 2002 03 831122·
 2002 04 761057.
 2002 05 831016.
 2002 06 571023·
 2002 07 92979·
 2002 08 481039.
 2002 09 31054·
 2002 10 291041.
 2002 11 981062·
 2002 12 31037.
 2003 01  101083.
 2003 02  40982·
 2003 03  64941.
 2003 04  34908·
 2003 05  31977·
 2003 06  461011.
 2003 07  78968.
 2003 08  61939·
 2003 09  16964·
 2003 10  30967·
 2003 11  521009.
 2003 12  271050.
 2004 01 40969.
 2004 02 961002.
 2004 03 251031.
 2004 04 2982·
 2004 05 31022.
 2004 06 791070·
 2004 07 601047.
 2004 08 801105·
 2004 09 301160·
 2004 10 331082·
 2004 11 431072.
 2004 12 811060.
 2005 01  731027.
 2005 02  401010.
 2005 03  891144·
 2005 04  471207·
 2005 05  71193·
 2005 06  81117·
 2005 07  361107·
 2005 08  491107·
 2005 09  311093.
 2005 10  671178.
 2005 11  451173·
 2005 12  801102.
 2006 01 721123·
 2006 02 751096·
 2006 03 51165.
 2006 04 601193.
 2006 05 801183·
 2006 06 131117·
 2006 07 291126·
 2006 08 331073.
 2006 09 291121.
 2006 10 881200·
 2006 11 541266·
 2006 12 681253·
 2007 01  211178·
 2007 02  321230·
 2007 03  441141.
 2007 04  591170·
 2007 05  811291.
 2007 06  01178·
 2007 07  871212·
 2007 08  251246.
 2007 09  601208·
 2007 10  751237.
 2007 11  951215.
 2007 12  101248.
 2008 01 321178.
 2008 02 631138·
 2008 03 61168.
 2008 04 841174.
 2008 05 981318·
 2008 06 961210·
 2008 07 831203.
 2008 08 411265·
 2008 09 831183.
 2008 10 311188.
 2008 11 151220·
 2008 12 991254·
 2009 01  391181·
 2009 02  491399·
 2009 03  131392.
 2009 04  41361.
 2009 05  391389.
 2009 06  571216·
 2009 07  161223·
 2009 08  231148.
 2009 09  861150·
 2009 10  871201.
 2009 11  871287.
 2009 12  521365.
 2010 01 31412·
 2010 02 941402.
 2010 03 131391·
 2010 04 91344.
 2010 05 421331.
 2010 06 611418.
 2010 07 81265·
 2010 08 381294·
 2010 09 771333·
 2010 10 951278.
 2010 11 91260.
 2010 12 91234·
 2011 01  101224.
 2011 02  271264.
 2011 03  801284·
 2011 04  161339.
 2011 05  651271·
 2011 06  141297·
 2011 07  81232·
 2011 08  781198.
 2011 09  941240·
 2011 10  371217.
 2011 11  51180.
 2011 12  391267.
 2012 01 701257.
 2012 02 31263·
 2012 03 111300.
 2012 04 681282·
 2012 05 961334.
 2012 06 431350·
 2012 07 881278·
 2012 08 591313·
 2012 09 951348·
 2012 10 151316.
 2012 11 231264·
 2012 12 321368.
 2013 01  191353.
 2013 02  01436.
 2013 03  301462.
 2013 04  311396·
 2013 05  441478·
 2013 06  51313·
 2013 07  461396.
 2013 08  241414.
 2013 09  681423·
 2013 10  601342·
 2013 11  351260·
 2013 12  61315·
 2014 01 181396.
 2014 02 241383.
 2014 03 841429·
 2014 04 961500·
 2014 05 441404.
 2014 06 761299·
 2014 07 61363·
 2014 08 381343.
 2014 09 221339.
 2014 10 251328·
 2014 11 391315.
 2014 12 21346·
 2015 01  521343.
 2015 02  21396·
 2015 03  471418·
 2015 04  811397·
 2015 05  581458.
 2015 06  641604·
 2015 07  161517.
 2015 08  951461·
 2015 09  931425·
 2015 10  911351·
 2015 11  601257·
 2015 12  871268·
 2016 01 301262.
 2016 02 911325.
 2016 03 161389·
 2016 04 281391·
 2016 05 721533·
 2016 06 951501.
 2016 07 481375.
 2016 08 101415·
 2016 09 411551·
 2016 10 601482·
 2016 11 431518.
 2016 12 531579.
 2017 01  911521·
 2017 02  681469.
 2017 03  151546.
 2017 04  21551·
 2017 05  941493·
 2017 06  251466·
 2017 07  11446.
 2017 08  261469.


 2017 09  531484.
 2017 10  631560·
 2017 11  641560·
 2017 12  171663.
 2018 01 921594.
 2018 02 391508.
 2018 03 921480.
 2018 04 971587.
 2018 05 621662.
 2018 06 331537.
 2018 07 981495·
 2018 08 81426.
 2018 09 381458.
 2018 10 541440·
 2018 11 191503.
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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: Employment Level: Nonagriculture, Government Wage and Salary Workers, Mexican: 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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