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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 792063.
 1990 02 72118·
 1990 03 582162.
 1990 04 62230.
 1990 05 452251.
 1990 06 732343.
 1990 07 902343·
 1990 08 252249·
 1990 09 892102.
 1990 10 502070.
 1990 11 342076.
 1990 12 552074·
 1991 01  622149·
 1991 02  192152.
 1991 03  52161.
 1991 04  412111.
 1991 05  402085·
 1991 06  882099.
 1991 07  402177.
 1991 08  512112.
 1991 09  231990·
 1991 10  882114·
 1991 11  22146.
 1991 12  792211·
 1992 01 362230·
 1992 02 752209.
 1992 03 792282·
 1992 04 452261·
 1992 05 312234.
 1992 06 312296·
 1992 07 842321.
 1992 08 942268·
 1992 09 812191.
 1992 10 642220.
 1992 11 552264·
 1992 12 932265·
 1993 01  882234·
 1993 02  32198·
 1993 03  552313.
 1993 04  372360.
 1993 05  772322·
 1993 06  72342·
 1993 07  712438.
 1993 08  462378.
 1993 09  982356.
 1993 10  562433·
 1993 11  162348.
 1993 12  632378.
 1994 01 272253.
 1994 02 582331·
 1994 03 292438·
 1994 04 572379·
 1994 05 642478·
 1994 06 442424·
 1994 07 712469·
 1994 08 242483·
 1994 09 352518·
 1994 10 712604·
 1994 11 322588.
 1994 12 812551·
 1995 01  892393.
 1995 02  202416.
 1995 03  242450.
 1995 04  732417.
 1995 05  32422·
 1995 06  972499·
 1995 07  852569·
 1995 08  692577·
 1995 09  772666.
 1995 10  362651.
 1995 11  782631·
 1995 12  642561·
 1996 01 352473.
 1996 02 912472·
 1996 03 902475.
 1996 04 762479·
 1996 05 292505·
 1996 06 462515.
 1996 07 352652.
 1996 08 492639.
 1996 09 342765·
 1996 10 62725.
 1996 11 502838.
 1996 12 542837.
 1997 01  512802.
 1997 02  32832·
 1997 03  992783.
 1997 04  832801.
 1997 05  42885.
 1997 06  942861·
 1997 07  692903·
 1997 08  562968·
 1997 09  432875.
 1997 10  602886·
 1997 11  732850·
 1997 12  172907·
 1998 01 462881.
 1998 02 82996.
 1998 03 493026·
 1998 04 353060.
 1998 05 113108·
 1998 06 703084·
 1998 07 593087.
 1998 08 53064·
 1998 09 653112·
 1998 10 33154·
 1998 11 933023·
 1998 12 453091.
 1999 01  573151.
 1999 02  873222.
 1999 03  623309.
 1999 04  03217·
 1999 05  633243·
 1999 06  303241.
 1999 07  53183.
 1999 08  393277·
 1999 09  833203.
 1999 10  633236.
 1999 11  843338·
 1999 12  563491.
 2000 01 433694.
 2000 02 433756·
 2000 03 883625·
 2000 04 703606·
 2000 05 943642·
 2000 06 523635.
 2000 07 293591·
 2000 08 253591·
 2000 09 93843.
 2000 10 963767.
 2000 11 453872.
 2000 12 913981·
 2001 01  913947.
 2001 02  73962.
 2001 03  993891·
 2001 04  613717·
 2001 05  643675.
 2001 06  413716.
 2001 07  793738·
 2001 08  543830.
 2001 09  793884·
 2001 10  803991.
 2001 11  984057.
 2001 12  164149·
 2002 01 114033.
 2002 02 314068·
 2002 03 934074·
 2002 04 143967.
 2002 05 613875.
 2002 06 253957.
 2002 07 283881·
 2002 08 444010.
 2002 09 534069.
 2002 10 203942.
 2002 11 914100·
 2002 12 244067.
 2003 01  394109.
 2003 02  964140·
 2003 03  944041·
 2003 04  984088.
 2003 05  944030.
 2003 06  614080.
 2003 07  754028.
 2003 08  363939·
 2003 09  173906.
 2003 10  453938·
 2003 11  974081.
 2003 12  314047.
 2004 01 353901.
 2004 02 63990·
 2004 03 484011·
 2004 04 34130.
 2004 05 984153.
 2004 06 254106.
 2004 07 414029·
 2004 08 964094.
 2004 09 814196·
 2004 10 94231·
 2004 11 144189.
 2004 12 794181·
 2005 01  854034.
 2005 02  904113·
 2005 03  304183·
 2005 04  464269·
 2005 05  344446·
 2005 06  244302.
 2005 07  774370.
 2005 08  174340·
 2005 09  814342.
 2005 10  924417·
 2005 11  664412·
 2005 12  354316.
 2006 01 994366·
 2006 02 24413·
 2006 03 384443·
 2006 04 704561.
 2006 05 894594.
 2006 06 854629.
 2006 07 534635.
 2006 08 154527.
 2006 09 774524.
 2006 10 984571.
 2006 11 14559.
 2006 12 914670.
 2007 01  124527·
 2007 02  224617.
 2007 03  934639·
 2007 04  404671·
 2007 05  714737.
 2007 06  644777·
 2007 07  694871·
 2007 08  334925·
 2007 09  544873·
 2007 10  564716.
 2007 11  904598·
 2007 12  634711.
 2008 01 864532·
 2008 02 544623·
 2008 03 464598.
 2008 04 504801.
 2008 05 184977·
 2008 06 404868.
 2008 07 474860·
 2008 08 374781.
 2008 09 244811.
 2008 10 214739.
 2008 11 344684.
 2008 12 944781·
 2009 01  64628.
 2009 02  274681·
 2009 03  674762·
 2009 04  144811.
 2009 05  894717.
 2009 06  174692·
 2009 07  364628·
 2009 08  184464.
 2009 09  224629.
 2009 10  714663·
 2009 11  534807·
 2009 12  494899·
 2010 01 824864·
 2010 02 964798·
 2010 03 574812·
 2010 04 774699.
 2010 05 694718.
 2010 06 244707.
 2010 07 94493.
 2010 08 944633.
 2010 09 94807.
 2010 10 124667·
 2010 11 984830.
 2010 12 224742·
 2011 01  514662·
 2011 02  404557.
 2011 03  374715·
 2011 04  34790.
 2011 05  714639.
 2011 06  164641·
 2011 07  634667·
 2011 08  74730.
 2011 09  694887·
 2011 10  724940.
 2011 11  404890.
 2011 12  284912.
 2012 01 715163.
 2012 02 635235·
 2012 03 555351·
 2012 04 855337.
 2012 05 285397·
 2012 06 725364·
 2012 07 225232.
 2012 08 235271.
 2012 09 145377·
 2012 10 55382·
 2012 11 785360·
 2012 12 105450.
 2013 01  305484·
 2013 02  955503.
 2013 03  855369.
 2013 04  405473·
 2013 05  25594·
 2013 06  965527.
 2013 07  335569.
 2013 08  335505·
 2013 09  795531·
 2013 10  925480·
 2013 11  345573·
 2013 12  335567·
 2014 01 385610·
 2014 02 895696.
 2014 03 255726·
 2014 04 105829·
 2014 05 785841.
 2014 06 185942·
 2014 07 715885·
 2014 08 565888·
 2014 09 255779·
 2014 10 365690.
 2014 11 575825·
 2014 12 915746.
 2015 01  295964.
 2015 02  256038.
 2015 03  986078.
 2015 04  606201.
 2015 05  666274.
 2015 06  916416.
 2015 07  326277.
 2015 08  326136·
 2015 09  375999·
 2015 10  676047.
 2015 11  206129·
 2015 12  06079.
 2016 01 666068.
 2016 02 86068.
 2016 03 526233·
 2016 04 846125·
 2016 05 36385.
 2016 06 966218.
 2016 07 406198·
 2016 08 286081.
 2016 09 256093·
 2016 10 386126.
 2016 11 216301.
 2016 12 26281.
 2017 01  326278·
 2017 02  666270.
 2017 03  596382·
 2017 04  986319·
 2017 05  496334·
 2017 06  366301.
 2017 07  426368.
 2017 08  376410·


 2017 09  266289.
 2017 10  306380.
 2017 11  836541·
 2017 12  636571.
 2018 01 406653.
 2018 02 546677.
 2018 03 196540·
 2018 04 446532·
 2018 05 896658.
 2018 06 416565·
 2018 07 136604·
 2018 08 756562·
 2018 09 06535·
 2018 10 466930·
 2018 11 546936·
Economagic: Year Chart
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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: Nonagricultural Industries, Mexican Women: 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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