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 Series Title: Employment Level: Nonagriculture, Wage and Salary Workers, Mexican: NSA
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 2000 01 458900.
 2000 02 368986.
 2000 03 598998·
 2000 04 789057·
 2000 05 858996·
 2000 06 699169.
 2000 07 249085·
 2000 08 749177·
 2000 09 239435.
 2000 10 329407·
 2000 11 229457.
 2000 12 999627·
 2001 01  89478.
 2001 02  69624·
 2001 03  649489.
 2001 04  999453·
 2001 05  179241·
 2001 06  989226.
 2001 07  909423·
 2001 08  429473·
 2001 09  509615·
 2001 10  409913.
 2001 11  629896.
 2001 12  2210010.
 2002 01 329653·
 2002 02 889716.
 2002 03 679634.
 2002 04 589577·
 2002 05 149772·
 2002 06 249658.
 2002 07 189622.
 2002 08 959724.
 2002 09 709687.
 2002 10 549731·
 2002 11 559982.
 2002 12 29809.
 2003 01  210156·
 2003 02  1110289·
 2003 03  3810089.
 2003 04  7310220·
 2003 05  3510115.
 2003 06  5110157.
 2003 07  5710109·
 2003 08  279989.
 2003 09  189876.
 2003 10  559975·
 2003 11  2510177·
 2003 12  810296.
 2004 01 2810002·
 2004 02 3010140.
 2004 03 7810208·
 2004 04 8510421·
 2004 05 6510557.
 2004 06 810456.
 2004 07 8010444·
 2004 08 5310278.
 2004 09 5510460.
 2004 10 4510604.
 2004 11 1910552.
 2004 12 3010421.
 2005 01  4710181.
 2005 02  2410294.
 2005 03  810587.
 2005 04  6110912·
 2005 05  1711224.
 2005 06  5011070.
 2005 07  8411077·
 2005 08  1610979·
 2005 09  6510899·
 2005 10  5511062.
 2005 11  1110984.
 2005 12  8710984.
 2006 01 1710963·
 2006 02 9711070.
 2006 03 7611321·
 2006 04 9411374·
 2006 05 2411311.
 2006 06 5611290·
 2006 07 9311381·
 2006 08 8111294·
 2006 09 6011408·
 2006 10 3911657.
 2006 11 9911609·
 2006 12 1811679.
 2007 01  2611323.
 2007 02  7811507.
 2007 03  5711636·
 2007 04  9911689.
 2007 05  4811828·
 2007 06  3011647·
 2007 07  5411854.
 2007 08  4212003·
 2007 09  7511868.
 2007 10  7611980·
 2007 11  511660.
 2007 12  9211820·
 2008 01 8411353·
 2008 02 2211427·
 2008 03 4711509·
 2008 04 1811722.
 2008 05 7412010.
 2008 06 111771·
 2008 07 4211941.
 2008 08 1411914·
 2008 09 7111901·
 2008 10 7011801·
 2008 11 7811705·
 2008 12 011677·
 2009 01  2511316·
 2009 02  911283.
 2009 03  6911417.
 2009 04  1911471.
 2009 05  1311316.
 2009 06  2511371·
 2009 07  5311311·
 2009 08  4111018.
 2009 09  3311086·
 2009 10  5011094·
 2009 11  9111366.
 2009 12  5911388·
 2010 01 1211289.
 2010 02 4111330·
 2010 03 7311397·
 2010 04 9311308.
 2010 05 9911358·
 2010 06 8011465.
 2010 07 1111321.
 2010 08 8711401·
 2010 09 7211565·
 2010 10 7211283·
 2010 11 4211577.
 2010 12 1011506·
 2011 01  2811159.
 2011 02  5011175.
 2011 03  3111284.
 2011 04  5711415·
 2011 05  9511233.
 2011 06  7011347·
 2011 07  6411483.
 2011 08  4611547·
 2011 09  2211663·
 2011 10  1411760.
 2011 11  5411818.
 2011 12  2111852.
 2012 01 8611930·
 2012 02 8811970·
 2012 03 4012254.
 2012 04 5212306.
 2012 05 8512244·
 2012 06 2412198·
 2012 07 8412177.
 2012 08 3312209·
 2012 09 4612512·
 2012 10 8012458.
 2012 11 7512302·
 2012 12 8312442.
 2013 01  1912375·
 2013 02  3512544.
 2013 03  2512536.
 2013 04  4712792.
 2013 05  8012926·
 2013 06  9812693·
 2013 07  7112861.
 2013 08  9212579.
 2013 09  2812698·
 2013 10  012619.
 2013 11  7812929·
 2013 12  1412958·
 2014 01 9012889·
 2014 02 9713041·
 2014 03 3213077.
 2014 04 3113215·
 2014 05 1513257.
 2014 06 7013290.
 2014 07 4713237·
 2014 08 8813357·
 2014 09 8013184.
 2014 10 2813321·
 2014 11 6113567.
 2014 12 5413705·
 2015 01  8313876·
 2015 02  013909.
 2015 03  3613796·
 2015 04  2313835·
 2015 05  5213748·
 2015 06  4514012·
 2015 07  6014091·
 2015 08  1313881·
 2015 09  3513769.
 2015 10  4313793.
 2015 11  4713654.
 2015 12  7113729.
 2016 01 913753·
 2016 02 213805·
 2016 03 3314006.
 2016 04 6313973·
 2016 05 7414154·
 2016 06 5214140.
 2016 07 8314186·
 2016 08 8513940.
 2016 09 5614026.
 2016 10 5014109·
 2016 11 8414108.
 2016 12 5614072.
 2017 01  413938·
 2017 02  7914030·
 2017 03  4814295·
 2017 04  1914313·


 2017 05  9414443·
 2017 06  4514600·
 2017 07  1414902.
 2017 08  4514738·
 2017 09  2714451.
 2017 10  7814270·
 2017 11  4514486·
 2017 12  2614612.
 2018 01 2714670.
 2018 02 3714858·
 2018 03 2814794.
 2018 04 8314813·
 2018 05 4614787·
 2018 06 314768.
 2018 07 7714753.
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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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