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 Series Title: Employment Level: Nonagriculture, Wage and Salary Workers, Mexican: NSA
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 2000 01 278900·
 2000 02 578986·
 2000 03 348998.
 2000 04 429057·
 2000 05 898996.
 2000 06 859169.
 2000 07 439085.
 2000 08 59177·
 2000 09 939435·
 2000 10 889407·
 2000 11 299457.
 2000 12 429627.
 2001 01  889478.
 2001 02  459624·
 2001 03  39489·
 2001 04  969453·
 2001 05  519241·
 2001 06  649226.
 2001 07  49423·
 2001 08  389473·
 2001 09  819615.
 2001 10  769913·
 2001 11  949896.
 2001 12  6010010·
 2002 01 49653.
 2002 02 399716.
 2002 03 629634·
 2002 04 839577.
 2002 05 709772.
 2002 06 339658·
 2002 07 219622·
 2002 08 509724·
 2002 09 559687.
 2002 10 659731.
 2002 11 79982.
 2002 12 319809.
 2003 01  5910156·
 2003 02  6810289.
 2003 03  8510089.
 2003 04  1910220·
 2003 05  710115·
 2003 06  9710157.
 2003 07  4210109.
 2003 08  349989·
 2003 09  519876·
 2003 10  349975.
 2003 11  9110177·
 2003 12  2010296·
 2004 01 6410002.
 2004 02 8610140.
 2004 03 6910208·
 2004 04 4610421.
 2004 05 4810557.
 2004 06 8410456·
 2004 07 4010444.
 2004 08 610278.
 2004 09 2810460·
 2004 10 8610604·
 2004 11 9210552.
 2004 12 2010421·
 2005 01  5510181·
 2005 02  7310294·
 2005 03  3710587.
 2005 04  3110912.
 2005 05  411224.
 2005 06  5111070·
 2005 07  1411077·
 2005 08  910979·
 2005 09  7410899·
 2005 10  5211062.
 2005 11  8510984·
 2005 12  4710984·
 2006 01 9210963·
 2006 02 3211070.
 2006 03 3811321.
 2006 04 6611374.
 2006 05 911311·
 2006 06 7511290·
 2006 07 8611381·
 2006 08 811294.
 2006 09 9811408.
 2006 10 8511657·
 2006 11 6711609.
 2006 12 4411679.
 2007 01  6111323.
 2007 02  9411507.
 2007 03  4411636·
 2007 04  6711689·
 2007 05  2411828·
 2007 06  6011647·
 2007 07  511854·
 2007 08  9612003·
 2007 09  3611868.
 2007 10  6411980.
 2007 11  6211660.
 2007 12  7611820.
 2008 01 7311353·
 2008 02 1311427.
 2008 03 5411509.
 2008 04 7611722·
 2008 05 3512010.
 2008 06 3811771.
 2008 07 4311941.
 2008 08 9011914·
 2008 09 4811901.
 2008 10 9511801·
 2008 11 1711705·
 2008 12 3711677.
 2009 01  6211316·
 2009 02  6711283.
 2009 03  9011417·
 2009 04  6111471·
 2009 05  5311316·
 2009 06  6011371·
 2009 07  9911311.
 2009 08  3111018.
 2009 09  2011086·
 2009 10  611094·
 2009 11  611366.
 2009 12  4211388.
 2010 01 9011289.
 2010 02 6211330·
 2010 03 111397.
 2010 04 1211308.
 2010 05 1311358.
 2010 06 811465·
 2010 07 9511321·
 2010 08 8611401.
 2010 09 6311565·
 2010 10 5211283·
 2010 11 2711577.
 2010 12 3311506.
 2011 01  4211159·
 2011 02  2611175.
 2011 03  5911284·
 2011 04  4711415.
 2011 05  7511233.
 2011 06  8511347.
 2011 07  8011483.
 2011 08  4711547·
 2011 09  1211663.
 2011 10  1211760.
 2011 11  211818·
 2011 12  7811852·
 2012 01 2811930·
 2012 02 1311970·
 2012 03 6312254·
 2012 04 812306.
 2012 05 2512244.
 2012 06 2012198·
 2012 07 2712177·
 2012 08 3112209.
 2012 09 2712512.
 2012 10 9012458.
 2012 11 8012302·
 2012 12 6712442.
 2013 01  8512375·
 2013 02  412544.
 2013 03  3612536·
 2013 04  6012792.
 2013 05  7412926.
 2013 06  6812693.
 2013 07  3312861·
 2013 08  8012579·
 2013 09  9412698·
 2013 10  1612619.
 2013 11  3412929.
 2013 12  1912958.
 2014 01 7212889·
 2014 02 213041·
 2014 03 2613077.
 2014 04 9713215·
 2014 05 5713257·
 2014 06 913290.
 2014 07 2213237·
 2014 08 5913357·
 2014 09 2513184·
 2014 10 4313321·
 2014 11 6113567.
 2014 12 7413705.
 2015 01  7513876·
 2015 02  3613909.
 2015 03  513796.
 2015 04  3513835.
 2015 05  3513748·
 2015 06  4514012·
 2015 07  4214091·
 2015 08  6213881·
 2015 09  5313769.
 2015 10  5113793.
 2015 11  8613654.
 2015 12  9913729·
 2016 01 513753·
 2016 02 6213805·
 2016 03 7314006·
 2016 04 1513973·
 2016 05 9314154.
 2016 06 714140.
 2016 07 6614186·
 2016 08 513940.
 2016 09 4014026.
 2016 10 4514109·
 2016 11 5514108·
 2016 12 8714072.
 2017 01  9813938·
 2017 02  5714030.
 2017 03  5114295·
 2017 04  514313.
 2017 05  4114443.
 2017 06  5014600·
 2017 07  9214902·
 2017 08  2914738.


 2017 09  7114451.
 2017 10  5414270.
 2017 11  4214486.
 2017 12  5314612.
 2018 01 1314670·
 2018 02 2714858.
 2018 03 8814794·
 2018 04 9614813·
 2018 05 1714787.
 2018 06 5114768.
 2018 07 4314753.
 2018 08 214788.
 2018 09 5814665·
 2018 10 3214960.
 2018 11 4515254.
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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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