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 Series Title: Employment Level: Nonagricultural Industries, 20 years and over, Mexican Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 317503.
 2012 03 507387·
 2012 02 397290.
 2012 01 267303·
 2011 12  627429.
 2011 11  27486.
 2011 10  27348·
 2011 09  477384.
 2011 08  47432·
 2011 07  977323.
 2011 06  107164·
 2011 05  117069.
 2011 04  67108.
 2011 03  166975·
 2011 02  767061.
 2011 01  626983.
 2010 12 457210·
 2010 11 667279·
 2010 10 377218.
 2010 09 687361·
 2010 08 197391·
 2010 07 777390.
 2010 06 567344.
 2010 05 247170.
 2010 04 557117·
 2010 03 77082·
 2010 02 217067.
 2010 01 496934·
 2009 12  37031.
 2009 11  387106·
 2009 10  466947·
 2009 09  876954.
 2009 08  397089·
 2009 07  767173.
 2009 06  687210.
 2009 05  77176.
 2009 04  627274·
 2009 03  527288.
 2009 02  497166.
 2009 01  47214·
 2008 12 997404.
 2008 11 247460.
 2008 10 787465·
 2008 09 967572.
 2008 08 997639·
 2008 07 737595·
 2008 06 687391.
 2008 05 287494.
 2008 04 387308.
 2008 03 57356.
 2008 02 577351.
 2008 01 697393·
 2007 12  177613·
 2007 11  537508.
 2007 10  77621·
 2007 09  137497.
 2007 08  607624.
 2007 07  737531.
 2007 06  67392.
 2007 05  797487·
 2007 04  197387.
 2007 03  467339.
 2007 02  687319.
 2007 01  117227.
 2006 12 687385.
 2006 11 797450·
 2006 10 307430.
 2006 09 787288·
 2006 08 87175·
 2006 07 47126.
 2006 06 547098.
 2006 05 757221.
 2006 04 657237·
 2006 03 787209.
 2006 02 306986·
 2006 01 216933·
 2005 12  886915.
 2005 11  826856·
 2005 10  707006·
 2005 09  596884·
 2005 08  536996·
 2005 07  227062·
 2005 06  117079.
 2005 05  607221·
 2005 04  616965.
 2005 03  316683.
 2005 02  166436·
 2005 01  166424·
 2004 12 366581.
 2004 11 656743.
 2004 10 756756·
 2004 09 486699·
 2004 08 306650·
 2004 07 66781·
 2004 06 986666.
 2004 05 996696·
 2004 04 186608.
 2004 03 606493.
 2004 02 256511·
 2004 01 396466·
 2003 12  06615·
 2003 11  586469.
 2003 10  186371·
 2003 09  616341·
 2003 08  16355.
 2003 07  596345.
 2003 06  656423·
 2003 05  856488·
 2003 04  726482.
 2003 03  436411.
 2003 02  796469.
 2003 01  556315.
 2002 12 885929·
 2002 11 166083·
 2002 10 985930.
 2002 09 405801·
 2002 08 505917·
 2002 07 115942.
 2002 06 845926.
 2002 05 346100.
 2002 04 835822·
 2002 03 845732.
 2002 02 265848·
 2002 01 575788.
 2001 12  375937·
 2001 11  175979·
 2001 10  376025.
 2001 09  525866·
 2001 08  895768·
 2001 07  175820·
 2001 06  545677·
 2001 05  895728.
 2001 04  375878.
 2001 03  145697·
 2001 02  405721·
 2001 01  615590·
 2000 12 85637.
 2000 11 675647·
 2000 10 835685.
 2000 09 895683.
 2000 08 525640.
 2000 07 555491·
 2000 06 965561.
 2000 05 155364.
 2000 04 445513.
 2000 03 875390.
 2000 02 185341·
 2000 01 105311·
 1999 12  854544.
 1999 11  934506.
 1999 10  104543·
 1999 09  674391.
 1999 08  04396·
 1999 07  314262.
 1999 06  614267.
 1999 05  54313·
 1999 04  404358.
 1999 03  814504.
 1999 02  834409.
 1999 01  694355·
 1998 12 804386·
 1998 11 514485·
 1998 10 154459.
 1998 09 284418.
 1998 08 204358.
 1998 07 724344.
 1998 06 204347.
 1998 05 764441.
 1998 04 864462·
 1998 03 14418·
 1998 02 844461.
 1998 01 324318.
 1997 12  274408.
 1997 11  204422·
 1997 10  224268·
 1997 09  404204.
 1997 08  214261·
 1997 07  354189.
 1997 06  714137.
 1997 05  694153·
 1997 04  664095·
 1997 03  774075.
 1997 02  944050.
 1997 01  144056.
 1996 12 883991.
 1996 11 43949.
 1996 10 794046·
 1996 09 933960.
 1996 08 393970·
 1996 07 973883·
 1996 06 383757·
 1996 05 513611·
 1996 04 923593.
 1996 03 623698.
 1996 02 103643·
 1996 01 573669·
 1995 12  493803·
 1995 11  323795·
 1995 10  583909·
 1995 09  53865·
 1995 08  343776·
 1995 07  633745.
 1995 06  693699.
 1995 05  143683·
 1995 04  993622.
 1995 03  363674·
 1995 02  563547.
 1995 01  293603.
 1994 12 183693.
 1994 11 593828·
 1994 10 583837.
 1994 09 173714·
 1994 08 923580·
 1994 07 633600.
 1994 06 363562.
 1994 05 753587·
 1994 04 473494.
 1994 03 43511·
 1994 02 803437.
 1994 01 203487.
 1993 12  333559·
 1993 11  643524.
 1993 10  13655·
 1993 09  973623·
 1993 08  253577·
 1993 07  503517·
 1993 06  383432·
 1993 05  753416·
 1993 04  233434·
 1993 03  943423·
 1993 02  543344.
 1993 01  493321·
 1992 12 533386·
 1992 11 523349·
 1992 10 363477·
 1992 09 363337.
 1992 08 663389.
 1992 07 53398·
 1992 06 983235·
 1992 05 823279·
 1992 04 363259·
 1992 03 613258·
 1992 02 773167.
 1992 01 553149·
 1991 12  653150·
 1991 11  513144.
 1991 10  373241.
 1991 09  513176·
 1991 08  773233·
 1991 07  313269·
 1991 06  643245.
 1991 05  873187·
 1991 04  233206·
 1991 03  843096.
 1991 02  723148.
 1991 01  83184.
 1990 12 783177·
 1990 11 153255.
 1990 10 03290.
 1990 09 833218.
 1990 08 433335.
 1990 07 583266·
 1990 06 93227.
 1990 05 73289·
 1990 04 433188·
 1990 03 673159.
 1990 02 873185·
 1990 01 973179·
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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 Men: 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

Make charts for Okun's Law and Phillip's Curve

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