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 Series Title: Employment Level: Sales and Related Occupations, Mexican American: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 261213·
 2012 03 551161·
 2012 02 851276·
 2012 01 401329·
 2011 12  641235.
 2011 11  61312·
 2011 10  141222.
 2011 09  691095.
 2011 08  311142·
 2011 07  181035·
 2011 06  61038.
 2011 05  601041·
 2011 04  77992·
 2011 03  721047.
 2011 02  751003.
 2011 01  551060·
 2010 12 781077.
 2010 11 761124·
 2010 10 581046·
 2010 09 251054·
 2010 08 331053·
 2010 07 611026.
 2010 06 181092·
 2010 05 641153.
 2010 04 691071.
 2010 03 841115·
 2010 02 421070·
 2010 01 911049.
 2009 12  361187·
 2009 11  251137·
 2009 10  451045.
 2009 09  491025·
 2009 08  91073·
 2009 07  931042.
 2009 06  631095.
 2009 05  81064·
 2009 04  891115·
 2009 03  171126.
 2009 02  601187·
 2009 01  631242·
 2008 12 01154.
 2008 11 561127·
 2008 10 241110.
 2008 09 311048.
 2008 08 941090·
 2008 07 911054.
 2008 06 671071.
 2008 05 591211·
 2008 04 461259·
 2008 03 281237·
 2008 02 271213.
 2008 01 131134.
 2007 12  551113.
 2007 11  991122·
 2007 10  681061.
 2007 09  901124.
 2007 08  491186.
 2007 07  611127.
 2007 06  771129.
 2007 05  71119.
 2007 04  761181.
 2007 03  951128.
 2007 02  661111.
 2007 01  101066.
 2006 12 121111.
 2006 11 81075·
 2006 10 751037·
 2006 09 661019.
 2006 08 591035·
 2006 07 311117.
 2006 06 651074.
 2006 05 711085·
 2006 04 401147·
 2006 03 221139·
 2006 02 251111.
 2006 01 431132·
 2005 12  71094·
 2005 11  621071·
 2005 10  671041.
 2005 09  271014·
 2005 08  341046.
 2005 07  571063·
 2005 06  301025.
 2005 05  911036·
 2005 04  231054·
 2005 03  39993.
 2005 02  771023·
 2005 01  301019·
 2004 12 991003·
 2004 11 651042.
 2004 10 941097·
 2004 09 631023.
 2004 08 111007.
 2004 07 16979·
 2004 06 96954·
 2004 05 35950.
 2004 04 37932.
 2004 03 0946·
 2004 02 191004.
 2004 01 131011·
 2003 12  741075.
 2003 11  471090.
 2003 10  281023.
 2003 09  931031·
 2003 08  50979.
 2003 07  14979·
 2003 06  9922·
 2003 05  94922.
 2003 04  15992.
 2003 03  84992·
 2003 02  76990.
 2003 01  591004.
 2002 12 441062.
 2002 11 62955·
 2002 10 66893.
 2002 09 581040.
 2002 08 371064·
 2002 07 80971·
 2002 06 431022.
 2002 05 85947·
 2002 04 20819·
 2002 03 96844.
 2002 02 95848.
 2002 01 59904.
 2001 12  43927·
 2001 11  90894.
 2001 10  33960·
 2001 09  24969·
 2001 08  81915·
 2001 07  69922.
 2001 06  97894.
 2001 05  50878·
 2001 04  36901·
 2001 03  65906·
 2001 02  49958.
 2001 01  30933·
 2000 12 32856.
 2000 11 34808.
 2000 10 76817.
 2000 09 84797·
 2000 08 19768.
 2000 07 58826·
 2000 06 93846.
 2000 05 56816·
 2000 04 74843.
 2000 03 45806.
 2000 02 36891.
 2000 01 14871.
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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: Sales and Related Occupations, Mexican American: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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