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 Series Title: Employment Level: Mexican, Computer and Mathematical Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 5682.
 2012 03 0104·
 2012 02 4694.
 2012 01 2197.
 2011 12  7774.
 2011 11  6786.
 2011 10  48102.
 2011 09  695·
 2011 08  893·
 2011 07  76115.
 2011 06  95100.
 2011 05  34105.
 2011 04  9988·
 2011 03  993.
 2011 02  098.
 2011 01  4990.
 2010 12 2684·
 2010 11 7382.
 2010 10 0121.
 2010 09 19117·
 2010 08 90141.
 2010 07 98131.
 2010 06 58123.
 2010 05 39115.
 2010 04 1589.
 2010 03 4386·
 2010 02 6380.
 2010 01 2871.
 2009 12  5291.
 2009 11  87106.
 2009 10  2792.
 2009 09  30130.
 2009 08  77102·
 2009 07  39112·
 2009 06  8793.
 2009 05  15101·
 2009 04  8993.
 2009 03  30109·
 2009 02  892.
 2009 01  7684.
 2008 12 1581·
 2008 11 16116·
 2008 10 76100.
 2008 09 3292·
 2008 08 491·
 2008 07 7883.
 2008 06 677.
 2008 05 2881·
 2008 04 3374.
 2008 03 2562.
 2008 02 3373·
 2008 01 3361.
 2007 12  079.
 2007 11  8773.
 2007 10  2283.
 2007 09  41101.
 2007 08  3393.
 2007 07  2066.
 2007 06  6175·
 2007 05  7152.
 2007 04  8055.
 2007 03  862·
 2007 02  6184·
 2007 01  6774·
 2006 12 1876·
 2006 11 5563·
 2006 10 6260.
 2006 09 9878·
 2006 08 4846·
 2006 07 9445.
 2006 06 2663·
 2006 05 6063.
 2006 04 9361·
 2006 03 8287.
 2006 02 4195·
 2006 01 69108·
 2005 12  5106·
 2005 11  064.
 2005 10  1977·
 2005 09  7264.
 2005 08  6058.
 2005 07  5462·
 2005 06  9970.
 2005 05  3670·
 2005 04  5664.
 2005 03  77102.
 2005 02  4489·
 2005 01  5776.
 2004 12 21102·
 2004 11 2587.
 2004 10 4168.
 2004 09 5374·
 2004 08 472.
 2004 07 8077.
 2004 06 474.
 2004 05 6875.
 2004 04 8155.
 2004 03 4876·
 2004 02 7064·
 2004 01 7174.
 2003 12  5289·
 2003 11  61104.
 2003 10  274·
 2003 09  5870·
 2003 08  4273·
 2003 07  7589·
 2003 06  8887·
 2003 05  4684.
 2003 04  268.
 2003 03  7361.
 2003 02  4175·
 2003 01  8074.
 2002 12 775·
 2002 11 6175.
 2002 10 99106.
 2002 09 2994.
 2002 08 5868·
 2002 07 7077.
 2002 06 2459·
 2002 05 8761.
 2002 04 8079.
 2002 03 5762·
 2002 02 558.
 2002 01 7470·
 2001 12  2475·
 2001 11  478.
 2001 10  5599·
 2001 09  3369.
 2001 08  6473.
 2001 07  1874.
 2001 06  1141·
 2001 05  3453·
 2001 04  174·
 2001 03  2964·
 2001 02  3667.
 2001 01  7060·
 2000 12 6171.
 2000 11 9588.
 2000 10 1983.
 2000 09 6275.
 2000 08 9466.
 2000 07 9854.
 2000 06 7149.
 2000 05 5252·
 2000 04 7650.
 2000 03 4462·
 2000 02 3181.
 2000 01 1158·
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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, Computer and Mathematical 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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