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 Series Title: Employment Level: Mexican, Arts, Design, Entertainment, Sports, and Media Occupations: NSA
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 2012 04 60148.
 2012 03 58156.
 2012 02 48137.
 2012 01 40120.
 2011 12  66115.
 2011 11  6288·
 2011 10  6595.
 2011 09  4199·
 2011 08  39114.
 2011 07  65118·
 2011 06  82150·
 2011 05  41147.
 2011 04  29155.
 2011 03  47149.
 2011 02  12146·
 2011 01  83120·
 2010 12 10131·
 2010 11 17124·
 2010 10 95132.
 2010 09 3796.
 2010 08 85125·
 2010 07 4109.
 2010 06 92145.
 2010 05 98133·
 2010 04 77113.
 2010 03 67100·
 2010 02 92136.
 2010 01 83144·
 2009 12  37118·
 2009 11  87137.
 2009 10  7127·
 2009 09  38128.
 2009 08  41144·
 2009 07  69124.
 2009 06  75113·
 2009 05  32102.
 2009 04  89121·
 2009 03  47133·
 2009 02  59140.
 2009 01  58119·
 2008 12 7144·
 2008 11 77115·
 2008 10 4896.
 2008 09 36122·
 2008 08 44120·
 2008 07 39117.
 2008 06 53130·
 2008 05 10119·
 2008 04 77140.
 2008 03 42159.
 2008 02 13142·
 2008 01 49132·
 2007 12  5161·
 2007 11  16114·
 2007 10  91107.
 2007 09  47121·
 2007 08  5496·
 2007 07  1883.
 2007 06  7495.
 2007 05  2395·
 2007 04  75113.
 2007 03  30141·
 2007 02  76149.
 2007 01  22125.
 2006 12 43134·
 2006 11 58121.
 2006 10 35119.
 2006 09 13120·
 2006 08 5889.
 2006 07 3490.
 2006 06 1272·
 2006 05 8990·
 2006 04 45103·
 2006 03 16135.
 2006 02 97112.
 2006 01 71136·
 2005 12  55123·
 2005 11  83104.
 2005 10  280·
 2005 09  194.
 2005 08  6471·
 2005 07  4481.
 2005 06  6598·
 2005 05  5093.
 2005 04  71112·
 2005 03  2991.
 2005 02  48105·
 2005 01  11131.
 2004 12 3119·
 2004 11 95129·
 2004 10 40137·
 2004 09 3129.
 2004 08 9109.
 2004 07 25102·
 2004 06 54104·
 2004 05 71104.
 2004 04 65108·
 2004 03 23103·
 2004 02 28116.
 2004 01 84113.
 2003 12  72110.
 2003 11  24108·
 2003 10  23127·
 2003 09  35108.
 2003 08  5483.
 2003 07  8288·
 2003 06  3095·
 2003 05  45107·
 2003 04  62108·
 2003 03  79120·
 2003 02  5981.
 2003 01  57100·
 2002 12 7283.
 2002 11 2387·
 2002 10 4965.
 2002 09 4081·
 2002 08 83107·
 2002 07 44113.
 2002 06 63124·
 2002 05 89132.
 2002 04 22100.
 2002 03 070.
 2002 02 9070.
 2002 01 2285·
 2001 12  3987.
 2001 11  71114.
 2001 10  40112.
 2001 09  84102·
 2001 08  971·
 2001 07  6669·
 2001 06  5470.
 2001 05  44110.
 2001 04  32106.
 2001 03  15104·
 2001 02  9393.
 2001 01  9684·
 2000 12 34106·
 2000 11 74122·
 2000 10 45115.
 2000 09 5987·
 2000 08 6562.
 2000 07 2766.
 2000 06 2446.
 2000 05 7769.
 2000 04 086·
 2000 03 7871·
 2000 02 6799·
 2000 01 2082·
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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: Mexican, Arts, Design, Entertainment, Sports, and Media Occupations: 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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