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 Series Title: Employment Level: Nonagricultural Industries, 20 years and over, Mexican Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 115108.
 2012 03 485110·
 2012 02 874984.
 2012 01 864923.
 2011 12  294683.
 2011 11  14699·
 2011 10  894736·
 2011 09  114666.
 2011 08  644516·
 2011 07  34432.
 2011 06  434435·
 2011 05  854419·
 2011 04  654581.
 2011 03  354522·
 2011 02  614363·
 2011 01  514469·
 2010 12 84520·
 2010 11 34630.
 2010 10 804476·
 2010 09 804587·
 2010 08 944413.
 2010 07 404266·
 2010 06 644495·
 2010 05 654518.
 2010 04 484500·
 2010 03 24582·
 2010 02 04578.
 2010 01 244674·
 2009 12  204715·
 2009 11  714624·
 2009 10  24492.
 2009 09  44433.
 2009 08  864243.
 2009 07  534343.
 2009 06  74404.
 2009 05  714464·
 2009 04  464547.
 2009 03  804504·
 2009 02  784407.
 2009 01  224380.
 2008 12 254516.
 2008 11 94458.
 2008 10 34518·
 2008 09 744562·
 2008 08 744490·
 2008 07 214565.
 2008 06 954586·
 2008 05 724732.
 2008 04 694569·
 2008 03 224345·
 2008 02 924340.
 2008 01 854245·
 2007 12  94443.
 2007 11  454339.
 2007 10  574430.
 2007 09  84579.
 2007 08  204639·
 2007 07  474560·
 2007 06  774526·
 2007 05  584482.
 2007 04  524406·
 2007 03  84379.
 2007 02  654335.
 2007 01  824251.
 2006 12 814389.
 2006 11 354293.
 2006 10 604320.
 2006 09 464280·
 2006 08 84269.
 2006 07 614339·
 2006 06 254362·
 2006 05 474305.
 2006 04 574301.
 2006 03 414190.
 2006 02 464173.
 2006 01 34140·
 2005 12  794065.
 2005 11  584165.
 2005 10  384176·
 2005 09  574083·
 2005 08  494058·
 2005 07  184106.
 2005 06  374023·
 2005 05  804188·
 2005 04  694038·
 2005 03  523977.
 2005 02  73883.
 2005 01  653837.
 2004 12 623914·
 2004 11 183946.
 2004 10 364006·
 2004 09 323955·
 2004 08 803879.
 2004 07 973790·
 2004 06 373872.
 2004 05 243941·
 2004 04 983898.
 2004 03 953790.
 2004 02 473771·
 2004 01 113704·
 2003 12  163814.
 2003 11  443852·
 2003 10  303747.
 2003 09  873716·
 2003 08  603739·
 2003 07  13777.
 2003 06  723844·
 2003 05  713766.
 2003 04  803841.
 2003 03  483802.
 2003 02  883891·
 2003 01  73886·
 2002 12 513828·
 2002 11 913862·
 2002 10 153730·
 2002 09 643812.
 2002 08 743772.
 2002 07 613647·
 2002 06 163716.
 2002 05 373656·
 2002 04 753727.
 2002 03 163785.
 2002 02 793780·
 2002 01 443759.
 2001 12  33845.
 2001 11  373739·
 2001 10  173676.
 2001 09  313575.
 2001 08  353547.
 2001 07  313442·
 2001 06  673426·
 2001 05  653431·
 2001 04  693473·
 2001 03  293640·
 2001 02  933686.
 2001 01  413673·
 2000 12 333692·
 2000 11 883610·
 2000 10 823475·
 2000 09 783526·
 2000 08 763326.
 2000 07 893300.
 2000 06 473360.
 2000 05 213377·
 2000 04 733336·
 2000 03 403378.
 2000 02 273482·
 2000 01 383428.
 1999 12  263243·
 1999 11  723101·
 1999 10  842985.
 1999 09  232975·
 1999 08  593019·
 1999 07  412882.
 1999 06  52977·
 1999 05  973001·
 1999 04  232983.
 1999 03  303067·
 1999 02  52989.
 1999 01  22921.
 1998 12 922843·
 1998 11 442799.
 1998 10 202899·
 1998 09 82839·
 1998 08 692831·
 1998 07 162848·
 1998 06 142869·
 1998 05 92854·
 1998 04 772823·
 1998 03 12775·
 1998 02 752767·
 1998 01 252696.
 1997 12  682726·
 1997 11  832673·
 1997 10  142707.
 1997 09  992690·
 1997 08  162764·
 1997 07  672693.
 1997 06  722659.
 1997 05  12709·
 1997 04  232604.
 1997 03  852625·
 1997 02  92654·
 1997 01  242624·
 1996 12 132654.
 1996 11 932666.
 1996 10 152533.
 1996 09 882566·
 1996 08 372443·
 1996 07 742450·
 1996 06 12325.
 1996 05 372358.
 1996 04 712339.
 1996 03 342342·
 1996 02 72308·
 1996 01 412333.
 1995 12  142396·
 1995 11  42480·
 1995 10  942487·
 1995 09  922515.
 1995 08  922391.
 1995 07  422351.
 1995 06  502267.
 1995 05  112243.
 1995 04  562233·
 1995 03  282268.
 1995 02  902249·
 1995 01  422205.
 1994 12 802342·
 1994 11 702379·
 1994 10 502412·
 1994 09 532338.
 1994 08 662292.
 1994 07 02251.
 1994 06 932228·
 1994 05 392286.
 1994 04 382256.
 1994 03 722305.
 1994 02 72209.
 1994 01 192126.
 1993 12  482208·
 1993 11  712171.
 1993 10  62235.
 1993 09  372184·
 1993 08  702191·
 1993 07  12243.
 1993 06  262205.
 1993 05  632173.
 1993 04  52202.
 1993 03  952167·
 1993 02  312042·
 1993 01  902068.
 1992 12 782080·
 1992 11 102115·
 1992 10 102052·
 1992 09 372029·
 1992 08 392089.
 1992 07 262142·
 1992 06 732125·
 1992 05 492093·
 1992 04 652126·
 1992 03 512125·
 1992 02 612043·
 1992 01 952066·
 1991 12  552027.
 1991 11  161981·
 1991 10  351948.
 1991 09  691836·
 1991 08  341960·
 1991 07  782009·
 1991 06  831935.
 1991 05  901946.
 1991 04  541961.
 1991 03  191977·
 1991 02  181967.
 1991 01  21987.
 1990 12 901914.
 1990 11 451920·
 1990 10 791904.
 1990 09 751919.
 1990 08 412060.
 1990 07 882164·
 1990 06 272175·
 1990 05 22093.
 1990 04 342075.
 1990 03 41971.
 1990 02 521940·
 1990 01 21919·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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, 20 years and over, 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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