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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 282063·
 1990 02 112118·
 1990 03 412162·
 1990 04 982230.
 1990 05 832251.
 1990 06 992343.
 1990 07 522343.
 1990 08 802249.
 1990 09 972102.
 1990 10 792070·
 1990 11 582076.
 1990 12 542074·
 1991 01  222149.
 1991 02  332152·
 1991 03  712161.
 1991 04  642111·
 1991 05  332085.
 1991 06  672099.
 1991 07  302177.
 1991 08  812112.
 1991 09  301990.
 1991 10  142114·
 1991 11  972146·
 1991 12  972211·
 1992 01 392230.
 1992 02 302209·
 1992 03 602282·
 1992 04 322261.
 1992 05 102234.
 1992 06 952296.
 1992 07 322321.
 1992 08 302268.
 1992 09 182191.
 1992 10 182220.
 1992 11 522264.
 1992 12 612265·
 1993 01  642234.
 1993 02  302198.
 1993 03  812313·
 1993 04  182360.
 1993 05  732322·
 1993 06  872342·
 1993 07  82438.
 1993 08  202378·
 1993 09  962356.
 1993 10  712433·
 1993 11  452348.
 1993 12  122378·
 1994 01 82253.
 1994 02 892331·
 1994 03 322438.
 1994 04 632379.
 1994 05 92478.
 1994 06 712424·
 1994 07 292469.
 1994 08 672483·
 1994 09 252518·
 1994 10 762604·
 1994 11 262588·
 1994 12 432551·
 1995 01  72393.
 1995 02  842416.
 1995 03  362450.
 1995 04  362417.
 1995 05  282422·
 1995 06  32499·
 1995 07  952569.
 1995 08  132577·
 1995 09  912666·
 1995 10  632651.
 1995 11  672631·
 1995 12  702561·
 1996 01 202473.
 1996 02 222472·
 1996 03 412475.
 1996 04 262479.
 1996 05 662505.
 1996 06 612515.
 1996 07 282652·
 1996 08 252639.
 1996 09 42765·
 1996 10 872725.
 1996 11 672838.
 1996 12 352837.
 1997 01  342802.
 1997 02  312832·
 1997 03  202783.
 1997 04  522801.
 1997 05  832885·
 1997 06  502861.
 1997 07  762903.
 1997 08  942968.
 1997 09  992875·
 1997 10  252886.
 1997 11  472850.
 1997 12  52907.
 1998 01 592881·
 1998 02 642996.
 1998 03 723026·
 1998 04 553060.
 1998 05 643108·
 1998 06 983084·
 1998 07 123087.
 1998 08 373064·
 1998 09 383112.
 1998 10 843154·
 1998 11 573023.
 1998 12 723091.
 1999 01  313151.
 1999 02  33222·
 1999 03  183309·
 1999 04  23217·
 1999 05  203243·
 1999 06  623241·
 1999 07  353183·
 1999 08  973277.
 1999 09  53203·
 1999 10  923236.
 1999 11  693338·
 1999 12  513491·
 2000 01 103694·
 2000 02 503756.
 2000 03 93625·
 2000 04 843606·
 2000 05 873642·
 2000 06 183635·
 2000 07 673591.
 2000 08 393591·
 2000 09 113843.
 2000 10 33767·
 2000 11 813872.
 2000 12 863981.
 2001 01  823947.
 2001 02  363962·
 2001 03  153891.
 2001 04  193717·
 2001 05  263675·
 2001 06  733716.
 2001 07  563738·
 2001 08  563830·
 2001 09  923884.
 2001 10  973991.
 2001 11  174057.
 2001 12  434149.
 2002 01 574033.
 2002 02 144068.
 2002 03 364074·
 2002 04 483967.
 2002 05 213875.
 2002 06 553957·
 2002 07 763881·
 2002 08 654010·
 2002 09 94069·
 2002 10 783942.
 2002 11 244100·
 2002 12 144067·
 2003 01  714109.
 2003 02  634140.
 2003 03  954041.
 2003 04  384088.
 2003 05  844030.
 2003 06  184080·
 2003 07  244028.
 2003 08  73939·
 2003 09  463906.
 2003 10  753938·
 2003 11  764081·
 2003 12  154047.
 2004 01 853901·
 2004 02 893990.
 2004 03 394011·
 2004 04 814130.
 2004 05 494153.
 2004 06 434106.
 2004 07 244029·
 2004 08 494094.
 2004 09 154196.
 2004 10 434231.
 2004 11 714189·
 2004 12 884181.
 2005 01  834034·
 2005 02  204113.
 2005 03  414183.
 2005 04  934269.
 2005 05  784446.
 2005 06  324302.
 2005 07  244370·
 2005 08  834340.
 2005 09  514342·
 2005 10  604417·
 2005 11  314412.
 2005 12  14316.
 2006 01 774366.
 2006 02 114413.
 2006 03 04443.
 2006 04 174561·
 2006 05 564594·
 2006 06 164629.
 2006 07 964635·
 2006 08 254527·
 2006 09 154524·
 2006 10 324571·
 2006 11 44559·
 2006 12 444670·
 2007 01  24527.
 2007 02  414617.
 2007 03  394639.
 2007 04  194671·
 2007 05  944737.
 2007 06  484777·
 2007 07  384871·
 2007 08  184925.
 2007 09  914873.
 2007 10  874716.
 2007 11  654598·
 2007 12  364711·
 2008 01 184532.
 2008 02 134623.
 2008 03 64598.
 2008 04 914801.
 2008 05 274977·
 2008 06 94868·
 2008 07 754860·
 2008 08 284781.
 2008 09 914811·
 2008 10 804739.
 2008 11 104684·
 2008 12 174781·
 2009 01  124628.
 2009 02  594681.
 2009 03  734762.
 2009 04  504811·
 2009 05  154717·
 2009 06  24692.
 2009 07  534628.
 2009 08  484464·
 2009 09  504629·
 2009 10  904663.
 2009 11  634807·
 2009 12  544899·
 2010 01 934864·
 2010 02 314798·
 2010 03 394812·
 2010 04 374699.
 2010 05 444718.
 2010 06 564707·
 2010 07 464493.
 2010 08 934633·
 2010 09 294807·
 2010 10 224667·
 2010 11 714830.
 2010 12 394742.
 2011 01  984662.
 2011 02  104557·
 2011 03  274715·
 2011 04  204790·
 2011 05  264639·
 2011 06  274641·
 2011 07  524667·
 2011 08  64730·
 2011 09  134887.
 2011 10  44940·
 2011 11  94890·
 2011 12  894912.
 2012 01 865163.
 2012 02 995235·
 2012 03 855351·
 2012 04 905337·
 2012 05 945397.
 2012 06 925364·
 2012 07 945232·
 2012 08 535271·
 2012 09 135377·
 2012 10 915382·
 2012 11 745360.
 2012 12 465450·
 2013 01  445484.
 2013 02  275503.
 2013 03  865369.
 2013 04  645473·
 2013 05  105594.
 2013 06  575527·
 2013 07  205569.
 2013 08  265505.
 2013 09  655531·
 2013 10  625480·
 2013 11  885573·
 2013 12  775567.
 2014 01 815610.
 2014 02 505696.
 2014 03 285726.
 2014 04 845829·
 2014 05 605841.
 2014 06 515942.
 2014 07 35885.
 2014 08 435888·
 2014 09 285779.
 2014 10 225690.
 2014 11 15825·
 2014 12 725746·
 2015 01  345964·
 2015 02  466038·
 2015 03  346078.
 2015 04  166201.
 2015 05  546274.
 2015 06  286416.
 2015 07  416277·
 2015 08  446136·
 2015 09  885999·
 2015 10  06047.
 2015 11  846129·
 2015 12  506079.
 2016 01 636068·
 2016 02 196068.
 2016 03 526233.
 2016 04 536125.
 2016 05 276385·
 2016 06 676218·
 2016 07 576198.
 2016 08 976081·
 2016 09 576093.
 2016 10 506126.
 2016 11 376301·
 2016 12 526281.
 2017 01  536278.
 2017 02  06270·
 2017 03  556382.
 2017 04  116319.


 2017 05  406334·
 2017 06  736301.
 2017 07  996368·
 2017 08  946410·
 2017 09  696289·
 2017 10  516380·
 2017 11  826541·
 2017 12  446571·
 2018 01 156653.
 2018 02 426677.
 2018 03 426540·
 2018 04 326532·
 2018 05 796658.
 2018 06 756565.
 2018 07 416604.
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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
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