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 Series Title: Employment Level: Nonagricultural Industries, Mexican Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1990 01 962063.
 1990 02 982118.
 1990 03 412162·
 1990 04 452230.
 1990 05 562251.
 1990 06 212343.
 1990 07 922343.
 1990 08 462249.
 1990 09 442102.
 1990 10 52070·
 1990 11 62076.
 1990 12 82074.
 1991 01  122149.
 1991 02  322152.
 1991 03  962161·
 1991 04  762111·
 1991 05  352085.
 1991 06  82099·
 1991 07  12177·
 1991 08  182112·
 1991 09  121990.
 1991 10  652114·
 1991 11  832146.
 1991 12  282211·
 1992 01 702230.
 1992 02 592209.
 1992 03 292282·
 1992 04 272261.
 1992 05 592234.
 1992 06 722296·
 1992 07 542321·
 1992 08 572268.
 1992 09 542191.
 1992 10 122220.
 1992 11 942264.
 1992 12 882265.
 1993 01  552234·
 1993 02  82198·
 1993 03  132313·
 1993 04  142360.
 1993 05  892322·
 1993 06  192342·
 1993 07  982438·
 1993 08  552378·
 1993 09  42356·
 1993 10  262433·
 1993 11  632348·
 1993 12  542378.
 1994 01 782253·
 1994 02 342331·
 1994 03 462438.
 1994 04 812379·
 1994 05 92478·
 1994 06 772424·
 1994 07 82469·
 1994 08 292483.
 1994 09 252518·
 1994 10 112604.
 1994 11 382588.
 1994 12 182551.
 1995 01  742393·
 1995 02  172416.
 1995 03  502450·
 1995 04  922417.
 1995 05  322422.
 1995 06  22499·
 1995 07  802569·
 1995 08  212577.
 1995 09  02666.
 1995 10  972651·
 1995 11  922631·
 1995 12  972561·
 1996 01 32473·
 1996 02 602472.
 1996 03 742475·
 1996 04 412479·
 1996 05 922505·
 1996 06 712515.
 1996 07 392652.
 1996 08 972639.
 1996 09 422765·
 1996 10 382725.
 1996 11 232838·
 1996 12 332837.
 1997 01  522802·
 1997 02  922832.
 1997 03  922783·
 1997 04  442801.
 1997 05  502885·
 1997 06  902861.
 1997 07  312903·
 1997 08  492968·
 1997 09  842875·
 1997 10  132886.
 1997 11  542850·
 1997 12  932907·
 1998 01 312881·
 1998 02 692996·
 1998 03 03026.
 1998 04 433060.
 1998 05 913108·
 1998 06 883084.
 1998 07 303087·
 1998 08 953064.
 1998 09 893112.
 1998 10 273154·
 1998 11 333023·
 1998 12 673091.
 1999 01  753151.
 1999 02  683222·
 1999 03  223309.
 1999 04  43217.
 1999 05  263243·
 1999 06  183241.
 1999 07  353183.
 1999 08  753277·
 1999 09  413203·
 1999 10  93236.
 1999 11  333338.
 1999 12  743491·
 2000 01 463694.
 2000 02 963756·
 2000 03 73625·
 2000 04 203606·
 2000 05 913642·
 2000 06 623635·
 2000 07 673591·
 2000 08 573591.
 2000 09 513843.
 2000 10 133767.
 2000 11 533872·
 2000 12 553981.
 2001 01  273947·
 2001 02  803962·
 2001 03  263891·
 2001 04  73717.
 2001 05  453675·
 2001 06  223716.
 2001 07  763738·
 2001 08  333830.
 2001 09  553884·
 2001 10  183991·
 2001 11  144057·
 2001 12  764149.
 2002 01 314033.
 2002 02 764068.
 2002 03 794074.
 2002 04 73967.
 2002 05 753875.
 2002 06 273957.
 2002 07 333881.
 2002 08 184010·
 2002 09 124069.
 2002 10 293942.
 2002 11 654100.
 2002 12 304067.
 2003 01  934109.
 2003 02  624140.
 2003 03  884041·
 2003 04  864088.
 2003 05  914030.
 2003 06  344080·
 2003 07  394028·
 2003 08  563939·
 2003 09  103906·
 2003 10  753938·
 2003 11  804081·
 2003 12  334047·
 2004 01 723901·
 2004 02 433990·
 2004 03 14011·
 2004 04 374130·
 2004 05 294153·
 2004 06 194106·
 2004 07 144029.
 2004 08 124094.
 2004 09 574196.
 2004 10 104231.
 2004 11 564189·
 2004 12 274181.
 2005 01  554034.
 2005 02  484113·
 2005 03  924183·
 2005 04  774269·
 2005 05  504446.
 2005 06  894302.
 2005 07  84370.
 2005 08  794340.
 2005 09  904342.
 2005 10  144417.
 2005 11  174412·
 2005 12  804316·
 2006 01 534366·
 2006 02 314413·
 2006 03 584443·
 2006 04 464561·
 2006 05 374594·
 2006 06 724629.
 2006 07 934635·
 2006 08 744527.
 2006 09 704524.
 2006 10 914571·
 2006 11 104559.
 2006 12 814670·
 2007 01  04527·
 2007 02  734617·
 2007 03  224639.
 2007 04  134671.
 2007 05  44737·
 2007 06  224777.
 2007 07  674871.
 2007 08  384925·
 2007 09  814873.
 2007 10  714716·
 2007 11  84598·
 2007 12  504711.
 2008 01 574532.
 2008 02 764623·
 2008 03 334598·
 2008 04 684801·
 2008 05 844977·
 2008 06 194868.
 2008 07 544860·
 2008 08 384781.
 2008 09 354811·
 2008 10 64739·
 2008 11 104684.
 2008 12 264781.
 2009 01  114628.
 2009 02  704681.
 2009 03  634762.
 2009 04  294811.
 2009 05  384717.
 2009 06  674692.
 2009 07  24628.
 2009 08  654464.
 2009 09  664629·
 2009 10  784663·
 2009 11  384807·
 2009 12  784899·
 2010 01 714864·
 2010 02 104798·
 2010 03 114812·
 2010 04 384699·
 2010 05 524718·
 2010 06 954707·
 2010 07 834493.
 2010 08 374633.
 2010 09 364807.
 2010 10 894667·
 2010 11 414830.
 2010 12 974742·
 2011 01  734662.
 2011 02  754557.
 2011 03  04715.
 2011 04  604790·
 2011 05  374639·
 2011 06  584641.
 2011 07  964667·
 2011 08  964730.
 2011 09  304887·
 2011 10  714940.
 2011 11  924890.
 2011 12  994912.
 2012 01 775163.
 2012 02 695235.
 2012 03 775351.
 2012 04 885337.
 2012 05 285397·
 2012 06 355364.
 2012 07 635232.
 2012 08 85271·
 2012 09 595377·
 2012 10 755382.
 2012 11 885360·
 2012 12 275450.
 2013 01  695484.
 2013 02  215503.
 2013 03  165369.
 2013 04  395473.
 2013 05  865594·
 2013 06  305527.
 2013 07  335569·
 2013 08  655505.
 2013 09  575531.
 2013 10  835480·
 2013 11  535573.
 2013 12  475567.
 2014 01 615610·
 2014 02 875696·
 2014 03 145726.
 2014 04 555829·
 2014 05 955841.
 2014 06 735942.
 2014 07 795885·
 2014 08 835888·
 2014 09 875779.
 2014 10 985690.
 2014 11 355825·
 2014 12 515746.
 2015 01  865964.
 2015 02  446038·
 2015 03  966078·
 2015 04  26201·
 2015 05  676274·
 2015 06  186416·
 2015 07  996277·
 2015 08  56136·
 2015 09  325999.
 2015 10  506047·
 2015 11  76129.
 2015 12  566079·
 2016 01 66068·
 2016 02 986068.
 2016 03 86233.
 2016 04 726125·
 2016 05 386385·
 2016 06 436218·
 2016 07 156198.
 2016 08 986081·
 2016 09 56093·
 2016 10 926126·
 2016 11 666301.
 2016 12 36281.
 2017 01  66278.
 2017 02  776270.
 2017 03  246382.
 2017 04  826319.
 2017 05  676334.
 2017 06  546301.


 2017 07  776368.
 2017 08  536410.
 2017 09  396289·
 2017 10  56380·
 2017 11  376541.
 2017 12  606571·
 2018 01 976653·
 2018 02 376677.
 2018 03 426540.
 2018 04 746532.
 2018 05 416658·
 2018 06 806565.
 2018 07 566604.
 2018 08 876562.
 2018 09 966535.
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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







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 Series Title: Employment Level: Nonagricultural Industries, Mexican Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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