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 Series Title: Employment Level: Nonagriculture, Government Wage and Salary Workers, Mexican: NSA
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 2000 01 961068.
 2000 02 441085.
 2000 03 371043.
 2000 04 34935·
 2000 05 19916.
 2000 06 77936·
 2000 07 94915·
 2000 08 89927.
 2000 09 58982·
 2000 10 58918·
 2000 11 3952.
 2000 12 92985·
 2001 01  641081·
 2001 02  701045.
 2001 03  751046·
 2001 04  891006.
 2001 05  12911·
 2001 06  18975·
 2001 07  49981.
 2001 08  471090.
 2001 09  31075·
 2001 10  351063·
 2001 11  87996.
 2001 12  611076.
 2002 01 611067·
 2002 02 761039.
 2002 03 781122.
 2002 04 511057·
 2002 05 381016·
 2002 06 251023.
 2002 07 35979·
 2002 08 601039·
 2002 09 81054.
 2002 10 861041.
 2002 11 941062.
 2002 12 571037·
 2003 01  731083.
 2003 02  93982.
 2003 03  20941.
 2003 04  37908·
 2003 05  57977·
 2003 06  11011·
 2003 07  0968·
 2003 08  19939.
 2003 09  11964·
 2003 10  93967·
 2003 11  471009·
 2003 12  471050·
 2004 01 10969·
 2004 02 741002·
 2004 03 981031.
 2004 04 89982.
 2004 05 551022.
 2004 06 771070·
 2004 07 181047.
 2004 08 421105.
 2004 09 701160·
 2004 10 581082.
 2004 11 921072·
 2004 12 221060.
 2005 01  81027·
 2005 02  991010·
 2005 03  361144·
 2005 04  751207·
 2005 05  421193.
 2005 06  61117.
 2005 07  851107·
 2005 08  691107.
 2005 09  731093.
 2005 10  111178·
 2005 11  41173.
 2005 12  01102.
 2006 01 271123.
 2006 02 721096·
 2006 03 811165.
 2006 04 851193·
 2006 05 531183.
 2006 06 681117.
 2006 07 271126.
 2006 08 691073·
 2006 09 281121·
 2006 10 71200.
 2006 11 811266.
 2006 12 221253.
 2007 01  521178·
 2007 02  211230·
 2007 03  61141.
 2007 04  361170.
 2007 05  501291·
 2007 06  671178·
 2007 07  901212.
 2007 08  331246.
 2007 09  731208.
 2007 10  251237.
 2007 11  451215·
 2007 12  551248·
 2008 01 951178.
 2008 02 31138.
 2008 03 101168.
 2008 04 711174.
 2008 05 181318.
 2008 06 321210·
 2008 07 471203·
 2008 08 771265·
 2008 09 671183.
 2008 10 691188.
 2008 11 441220·
 2008 12 901254·
 2009 01  911181·
 2009 02  951399.
 2009 03  151392.
 2009 04  561361·
 2009 05  671389·
 2009 06  181216·
 2009 07  971223·
 2009 08  431148.
 2009 09  961150.
 2009 10  681201.
 2009 11  521287·
 2009 12  461365.
 2010 01 11412.
 2010 02 21402·
 2010 03 701391·
 2010 04 831344.
 2010 05 341331.
 2010 06 31418·
 2010 07 621265·
 2010 08 991294.
 2010 09 701333.
 2010 10 771278·
 2010 11 671260·
 2010 12 631234.
 2011 01  91224·
 2011 02  541264.
 2011 03  471284·
 2011 04  681339.
 2011 05  781271.
 2011 06  931297.
 2011 07  911232·
 2011 08  351198·
 2011 09  251240.
 2011 10  741217.
 2011 11  111180·
 2011 12  81267·
 2012 01 271257·
 2012 02 51263.
 2012 03 461300·
 2012 04 541282·
 2012 05 851334·
 2012 06 161350.
 2012 07 571278·
 2012 08 701313.
 2012 09 221348.
 2012 10 651316.
 2012 11 331264·
 2012 12 731368.
 2013 01  901353.
 2013 02  331436·
 2013 03  881462·
 2013 04  81396.
 2013 05  651478·
 2013 06  271313·
 2013 07  581396·
 2013 08  431414.
 2013 09  461423.
 2013 10  791342.
 2013 11  61260.
 2013 12  751315.
 2014 01 591396·
 2014 02 441383·
 2014 03 211429.
 2014 04 201500·
 2014 05 551404·
 2014 06 51299.
 2014 07 161363.
 2014 08 241343.
 2014 09 81339.
 2014 10 691328·
 2014 11 281315.
 2014 12 551346·
 2015 01  191343·
 2015 02  661396.
 2015 03  201418·
 2015 04  81397.
 2015 05  141458·
 2015 06  551604.
 2015 07  801517·
 2015 08  21461.
 2015 09  431425·
 2015 10  151351·
 2015 11  211257·
 2015 12  811268·
 2016 01 811262·
 2016 02 551325.
 2016 03 811389·
 2016 04 141391.
 2016 05 291533.
 2016 06 51501.
 2016 07 231375.
 2016 08 951415·
 2016 09 121551·
 2016 10 221482.
 2016 11 351518·
 2016 12 441579·
 2017 01  801521.
 2017 02  881469·
 2017 03  291546·
 2017 04  41551·


 2017 05  91493.
 2017 06  101466.
 2017 07  431446.
 2017 08  451469.
 2017 09  01484·
 2017 10  191560·
 2017 11  411560·
 2017 12  611663.
 2018 01 771594.
 2018 02 711508.
 2018 03 101480·
 2018 04 701587·
 2018 05 911662.
 2018 06 491537·
 2018 07 631495·
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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
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