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 Series Title: Employment Level: Nonagriculture, Wage and Salary Workers, Mexican: 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 528900·
 2000 02 808986.
 2000 03 58998.
 2000 04 799057.
 2000 05 798996.
 2000 06 849169·
 2000 07 769085·
 2000 08 659177·
 2000 09 429435.
 2000 10 569407.
 2000 11 179457·
 2000 12 189627·
 2001 01  909478·
 2001 02  779624.
 2001 03  419489.
 2001 04  839453·
 2001 05  999241.
 2001 06  549226.
 2001 07  859423·
 2001 08  289473.
 2001 09  699615.
 2001 10  179913.
 2001 11  139896·
 2001 12  4910010.
 2002 01 269653·
 2002 02 249716.
 2002 03 119634·
 2002 04 639577.
 2002 05 199772.
 2002 06 579658.
 2002 07 949622·
 2002 08 169724.
 2002 09 269687.
 2002 10 229731·
 2002 11 999982.
 2002 12 769809·
 2003 01  4510156.
 2003 02  5010289.
 2003 03  8910089.
 2003 04  3710220.
 2003 05  210115.
 2003 06  9910157·
 2003 07  5110109·
 2003 08  199989·
 2003 09  489876·
 2003 10  509975·
 2003 11  9910177·
 2003 12  6510296·
 2004 01 5810002·
 2004 02 910140·
 2004 03 7110208.
 2004 04 4510421.
 2004 05 3210557.
 2004 06 910456.
 2004 07 2910444·
 2004 08 5410278·
 2004 09 9610460.
 2004 10 510604·
 2004 11 6210552.
 2004 12 910421.
 2005 01  110181.
 2005 02  8010294·
 2005 03  8210587.
 2005 04  5610912·
 2005 05  2011224.
 2005 06  4111070·
 2005 07  2711077·
 2005 08  6210979·
 2005 09  5610899.
 2005 10  1811062.
 2005 11  6010984·
 2005 12  2410984·
 2006 01 3310963·
 2006 02 6811070·
 2006 03 6911321·
 2006 04 5911374·
 2006 05 211311.
 2006 06 7411290.
 2006 07 6611381.
 2006 08 1211294·
 2006 09 3811408·
 2006 10 4211657·
 2006 11 9111609.
 2006 12 5211679.
 2007 01  4211323·
 2007 02  211507·
 2007 03  511636·
 2007 04  7311689.
 2007 05  3811828·
 2007 06  1311647.
 2007 07  9611854·
 2007 08  9412003.
 2007 09  7811868·
 2007 10  5611980·
 2007 11  7811660.
 2007 12  6011820·
 2008 01 3611353·
 2008 02 3711427.
 2008 03 8811509.
 2008 04 3911722·
 2008 05 1312010·
 2008 06 8711771.
 2008 07 8911941.
 2008 08 2511914·
 2008 09 3511901.
 2008 10 6511801.
 2008 11 6911705.
 2008 12 3911677·
 2009 01  5211316·
 2009 02  5011283·
 2009 03  4111417.
 2009 04  2311471·
 2009 05  3911316·
 2009 06  5111371.
 2009 07  4311311.
 2009 08  4811018·
 2009 09  9711086.
 2009 10  9811094.
 2009 11  3811366·
 2009 12  611388.
 2010 01 5011289·
 2010 02 4811330.
 2010 03 1311397·
 2010 04 1811308.
 2010 05 5011358.
 2010 06 8311465·
 2010 07 8211321·
 2010 08 2811401·
 2010 09 7211565.
 2010 10 911283.
 2010 11 8211577.
 2010 12 411506·
 2011 01  1611159.
 2011 02  5911175.
 2011 03  7611284·
 2011 04  4111415.
 2011 05  811233·
 2011 06  8811347.
 2011 07  5311483.
 2011 08  5811547·
 2011 09  9811663·
 2011 10  7911760·
 2011 11  2411818·
 2011 12  9911852·
 2012 01 6111930·
 2012 02 3711970.
 2012 03 2912254.
 2012 04 3312306·
 2012 05 9712244.
 2012 06 9512198.
 2012 07 2912177.
 2012 08 5412209.
 2012 09 3312512.
 2012 10 1012458·
 2012 11 1312302·
 2012 12 8212442·
 2013 01  1912375.
 2013 02  6212544.
 2013 03  9412536.
 2013 04  6112792.
 2013 05  2912926.
 2013 06  5912693·
 2013 07  912861.
 2013 08  5912579·
 2013 09  6512698·
 2013 10  3212619.
 2013 11  2212929.
 2013 12  7112958·
 2014 01 5112889.
 2014 02 3813041.
 2014 03 2013077.
 2014 04 1713215.
 2014 05 3913257.
 2014 06 5913290·
 2014 07 1613237.
 2014 08 3913357.
 2014 09 313184·
 2014 10 113321.
 2014 11 4813567·
 2014 12 813705.
 2015 01  4413876.
 2015 02  9513909·
 2015 03  7913796·
 2015 04  1713835·
 2015 05  8713748.
 2015 06  9914012·
 2015 07  9714091.
 2015 08  8613881.
 2015 09  8313769·
 2015 10  9413793.
 2015 11  1413654·
 2015 12  5813729·
 2016 01 713753·
 2016 02 8613805.
 2016 03 7014006·
 2016 04 413973·
 2016 05 5914154.
 2016 06 814140.
 2016 07 2614186·
 2016 08 1613940·
 2016 09 6514026·
 2016 10 1614109·
 2016 11 7014108.
 2016 12 1514072·
 2017 01  7613938.
 2017 02  9114030.
 2017 03  1514295·
 2017 04  4414313.
 2017 05  6614443.
 2017 06  4114600.


 2017 07  014902.
 2017 08  7214738.
 2017 09  3614451.
 2017 10  9614270·
 2017 11  8714486.
 2017 12  9414612·
 2018 01 1114670.
 2018 02 1514858·
 2018 03 6314794·
 2018 04 2914813·
 2018 05 4314787.
 2018 06 7714768.
 2018 07 4314753.
 2018 08 2014788·
 2018 09 514665·
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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, 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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