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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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 2012 04 335337.
 2012 03 165351.
 2012 02 865235.
 2012 01 465163·
 2011 12  244912·
 2011 11  464890·
 2011 10  464940.
 2011 09  834887·
 2011 08  994730.
 2011 07  944667·
 2011 06  254641·
 2011 05  374639.
 2011 04  114790.
 2011 03  414715·
 2011 02  374557·
 2011 01  534662·
 2010 12 334742.
 2010 11 934830·
 2010 10 204667.
 2010 09 994807·
 2010 08 664633.
 2010 07 824493·
 2010 06 364707·
 2010 05 714718·
 2010 04 374699·
 2010 03 654812·
 2010 02 734798·
 2010 01 864864·
 2009 12  944899.
 2009 11  244807.
 2009 10  444663·
 2009 09  894629·
 2009 08  134464.
 2009 07  644628.
 2009 06  874692·
 2009 05  504717.
 2009 04  964811.
 2009 03  184762.
 2009 02  654681·
 2009 01  624628.
 2008 12 664781·
 2008 11 434684.
 2008 10 664739·
 2008 09 444811·
 2008 08 754781·
 2008 07 194860.
 2008 06 24868·
 2008 05 424977.
 2008 04 994801·
 2008 03 554598·
 2008 02 124623.
 2008 01 234532·
 2007 12  364711.
 2007 11  804598·
 2007 10  594716.
 2007 09  824873.
 2007 08  144925·
 2007 07  524871·
 2007 06  304777·
 2007 05  384737·
 2007 04  814671.
 2007 03  534639·
 2007 02  384617·
 2007 01  354527.
 2006 12 144670·
 2006 11 894559.
 2006 10 214571.
 2006 09 434524.
 2006 08 134527.
 2006 07 924635·
 2006 06 424629·
 2006 05 554594.
 2006 04 44561.
 2006 03 194443·
 2006 02 894413.
 2006 01 914366·
 2005 12  364316.
 2005 11  504412.
 2005 10  754417.
 2005 09  954342.
 2005 08  854340.
 2005 07  934370.
 2005 06  384302.
 2005 05  354446.
 2005 04  524269·
 2005 03  804183·
 2005 02  404113·
 2005 01  74034.
 2004 12 614181·
 2004 11 674189·
 2004 10 704231.
 2004 09 294196.
 2004 08 644094.
 2004 07 354029.
 2004 06 404106·
 2004 05 454153·
 2004 04 364130·
 2004 03 924011.
 2004 02 883990.
 2004 01 253901·
 2003 12  774047.
 2003 11  684081·
 2003 10  783938.
 2003 09  633906·
 2003 08  123939·
 2003 07  214028.
 2003 06  964080·
 2003 05  774030.
 2003 04  924088.
 2003 03  334041.
 2003 02  564140.
 2003 01  124109.
 2002 12 924067.
 2002 11 94100·
 2002 10 973942.
 2002 09 374069.
 2002 08 134010·
 2002 07 823881·
 2002 06 803957.
 2002 05 473875·
 2002 04 803967·
 2002 03 84074.
 2002 02 934068·
 2002 01 604033.
 2001 12  434149.
 2001 11  684057.
 2001 10  503991.
 2001 09  203884·
 2001 08  783830.
 2001 07  713738.
 2001 06  893716·
 2001 05  973675·
 2001 04  863717.
 2001 03  463891.
 2001 02  713962.
 2001 01  853947.
 2000 12 913981·
 2000 11 513872·
 2000 10 863767.
 2000 09 23843·
 2000 08 443591·
 2000 07 673591.
 2000 06 463635·
 2000 05 943642.
 2000 04 203606.
 2000 03 23625.
 2000 02 893756·
 2000 01 293694·
 1999 12  203491.
 1999 11  863338·
 1999 10  773236.
 1999 09  13203.
 1999 08  693277·
 1999 07  763183·
 1999 06  03241·
 1999 05  303243.
 1999 04  183217.
 1999 03  543309.
 1999 02  693222.
 1999 01  593151·
 1998 12 423091.
 1998 11 273023·
 1998 10 223154·
 1998 09 583112.
 1998 08 413064·
 1998 07 263087·
 1998 06 233084·
 1998 05 213108.
 1998 04 403060·
 1998 03 83026·
 1998 02 592996·
 1998 01 672881.
 1997 12  912907.
 1997 11  542850·
 1997 10  432886·
 1997 09  402875·
 1997 08  682968.
 1997 07  712903·
 1997 06  142861·
 1997 05  102885.
 1997 04  732801·
 1997 03  912783·
 1997 02  332832·
 1997 01  702802·
 1996 12 292837·
 1996 11 712838.
 1996 10 892725·
 1996 09 402765.
 1996 08 882639.
 1996 07 922652.
 1996 06 952515.
 1996 05 632505·
 1996 04 252479.
 1996 03 602475.
 1996 02 892472.
 1996 01 92473·
 1995 12  412561·
 1995 11  72631·
 1995 10  332651·
 1995 09  722666.
 1995 08  612577·
 1995 07  912569.
 1995 06  152499·
 1995 05  722422.
 1995 04  342417·
 1995 03  922450.
 1995 02  492416.
 1995 01  512393·
 1994 12 382551.
 1994 11 182588·
 1994 10 722604·
 1994 09 802518·
 1994 08 712483·
 1994 07 992469.
 1994 06 472424.
 1994 05 532478.
 1994 04 602379.
 1994 03 932438·
 1994 02 622331.
 1994 01 892253·
 1993 12  542378.
 1993 11  812348·
 1993 10  302433.
 1993 09  312356.
 1993 08  302378·
 1993 07  702438.
 1993 06  892342.
 1993 05  492322·
 1993 04  872360·
 1993 03  912313·
 1993 02  12198.
 1993 01  382234·
 1992 12 522265·
 1992 11 22264.
 1992 10 552220.
 1992 09 152191.
 1992 08 732268.
 1992 07 832321·
 1992 06 632296·
 1992 05 272234.
 1992 04 282261·
 1992 03 412282·
 1992 02 642209·
 1992 01 402230.
 1991 12  152211·
 1991 11  92146·
 1991 10  202114·
 1991 09  511990.
 1991 08  612112·
 1991 07  422177·
 1991 06  192099·
 1991 05  772085.
 1991 04  162111·
 1991 03  222161.
 1991 02  732152.
 1991 01  632149.
 1990 12 552074·
 1990 11 572076.
 1990 10 222070.
 1990 09 792102.
 1990 08 792249.
 1990 07 772343·
 1990 06 282343.
 1990 05 182251·
 1990 04 132230.
 1990 03 392162.
 1990 02 782118·
 1990 01 992063.
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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, 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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