Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 Series Title: Employment Level: Nonagriculture, Government Wage and Salary Workers, Mexican: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 2000 01 461068·
 2000 02 171085.
 2000 03 71043·
 2000 04 17935.
 2000 05 76916.
 2000 06 12936.
 2000 07 56915.
 2000 08 68927·
 2000 09 91982·
 2000 10 24918·
 2000 11 24952.
 2000 12 36985.
 2001 01  421081.
 2001 02  341045·
 2001 03  251046.
 2001 04  661006·
 2001 05  3911.
 2001 06  51975·
 2001 07  97981.
 2001 08  271090·
 2001 09  751075·
 2001 10  41063.
 2001 11  2996·
 2001 12  121076·
 2002 01 841067.
 2002 02 511039·
 2002 03 281122.
 2002 04 411057·
 2002 05 811016.
 2002 06 741023.
 2002 07 88979·
 2002 08 591039·
 2002 09 391054.
 2002 10 781041·
 2002 11 201062·
 2002 12 331037·
 2003 01  611083.
 2003 02  96982·
 2003 03  87941.
 2003 04  59908.
 2003 05  70977.
 2003 06  851011·
 2003 07  77968.
 2003 08  56939·
 2003 09  19964.
 2003 10  26967.
 2003 11  31009·
 2003 12  671050·
 2004 01 81969·
 2004 02 251002.
 2004 03 21031·
 2004 04 62982·
 2004 05 581022.
 2004 06 141070·
 2004 07 371047·
 2004 08 351105.
 2004 09 741160·
 2004 10 511082.
 2004 11 971072·
 2004 12 61060.
 2005 01  811027·
 2005 02  161010·
 2005 03  941144.
 2005 04  171207·
 2005 05  531193.
 2005 06  161117·
 2005 07  671107.
 2005 08  391107·
 2005 09  911093.
 2005 10  831178·
 2005 11  771173·
 2005 12  651102·
 2006 01 201123.
 2006 02 731096.
 2006 03 131165.
 2006 04 151193.
 2006 05 921183·
 2006 06 691117·
 2006 07 881126.
 2006 08 331073·
 2006 09 801121·
 2006 10 761200.
 2006 11 401266·
 2006 12 881253·
 2007 01  861178·
 2007 02  271230·
 2007 03  311141·
 2007 04  731170·
 2007 05  341291.
 2007 06  771178·
 2007 07  501212.
 2007 08  91246.
 2007 09  761208.
 2007 10  101237·
 2007 11  91215.
 2007 12  401248·
 2008 01 871178·
 2008 02 311138.
 2008 03 461168·
 2008 04 341174·
 2008 05 671318·
 2008 06 711210.
 2008 07 251203.
 2008 08 851265·
 2008 09 411183·
 2008 10 881188.
 2008 11 321220.
 2008 12 141254.
 2009 01  601181.
 2009 02  641399.
 2009 03  821392.
 2009 04  631361.
 2009 05  01389·
 2009 06  41216·
 2009 07  111223.
 2009 08  21148·
 2009 09  591150·
 2009 10  411201·
 2009 11  831287·
 2009 12  261365.
 2010 01 651412.
 2010 02 311402·
 2010 03 861391.
 2010 04 531344.
 2010 05 681331·
 2010 06 561418.
 2010 07 321265·
 2010 08 271294·
 2010 09 421333.
 2010 10 221278·
 2010 11 591260.
 2010 12 181234·
 2011 01  881224.
 2011 02  611264.
 2011 03  311284·
 2011 04  201339·
 2011 05  321271.
 2011 06  311297.
 2011 07  351232·
 2011 08  521198.
 2011 09  241240.
 2011 10  111217.
 2011 11  841180·
 2011 12  571267·
 2012 01 401257·
 2012 02 91263.
 2012 03 161300·
 2012 04 61282.
 2012 05 791334.
 2012 06 571350·
 2012 07 931278.
 2012 08 931313·
 2012 09 671348·
 2012 10 121316.
 2012 11 51264·
 2012 12 351368.
 2013 01  551353·
 2013 02  541436.
 2013 03  631462.
 2013 04  791396.
 2013 05  181478·
 2013 06  911313.
 2013 07  51396.
 2013 08  921414·
 2013 09  561423·
 2013 10  541342.
 2013 11  951260·
 2013 12  691315·
 2014 01 951396·
 2014 02 01383·
 2014 03 201429.
 2014 04 291500.
 2014 05 841404·
 2014 06 101299.
 2014 07 941363.
 2014 08 161343·
 2014 09 11339·
 2014 10 911328·
 2014 11 531315·
 2014 12 01346.
 2015 01  441343.
 2015 02  761396.
 2015 03  621418.
 2015 04  741397.
 2015 05  401458·
 2015 06  191604.
 2015 07  71517.
 2015 08  571461.
 2015 09  381425.
 2015 10  41351·
 2015 11  21257·
 2015 12  951268·
 2016 01 141262.
 2016 02 361325·
 2016 03 851389·
 2016 04 551391·
 2016 05 691533·
 2016 06 481501.
 2016 07 181375.
 2016 08 321415.
 2016 09 271551.
 2016 10 961482·
 2016 11 891518.
 2016 12 461579.
 2017 01  401521.
 2017 02  611469.
 2017 03  121546.
 2017 04  401551·
 2017 05  831493.
 2017 06  501466.
 2017 07  241446·
 2017 08  831469·
 2017 09  551484.
 2017 10  961560.
 2017 11  881560.
 2017 12  691663·


 2018 01 831594·
 2018 02 541508.
 2018 03 921480·
 2018 04 191587·
 2018 05 161662·
 2018 06 61537·
 2018 07 491495.
 2018 08 751426·
 2018 09 311458.
 2018 10 591440·
 2018 11 971503.
 2018 12 81570·
 2019 01  281557·
 2019 02  441497.
 2019 03  981546·
Economagic: Year Chart
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series

Skip to Data / More Chart Options

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

Make charts for Okun's Law and Phillip's Curve

Sites of Interest: Conerly Consulting: Economics for Business Decisions *

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap