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 Series Title: Employment Level: Mexican, Management Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 21759·
 2012 03 25644·
 2012 02 36672·
 2012 01 55692·
 2011 12  10703·
 2011 11  29650·
 2011 10  44643·
 2011 09  15625.
 2011 08  84642·
 2011 07  50614.
 2011 06  72611·
 2011 05  93568.
 2011 04  94610·
 2011 03  70621.
 2011 02  32607.
 2011 01  32645.
 2010 12 14616.
 2010 11 96608.
 2010 10 63613·
 2010 09 2576.
 2010 08 46558·
 2010 07 59554.
 2010 06 27631.
 2010 05 96638.
 2010 04 15681.
 2010 03 15775.
 2010 02 13739.
 2010 01 35684.
 2009 12  70710.
 2009 11  47701·
 2009 10  32671.
 2009 09  62617.
 2009 08  88619·
 2009 07  61565·
 2009 06  24571·
 2009 05  46601.
 2009 04  69601.
 2009 03  89639·
 2009 02  50644·
 2009 01  81632·
 2008 12 38635·
 2008 11 87652.
 2008 10 0616.
 2008 09 87606·
 2008 08 46608.
 2008 07 37613.
 2008 06 85603.
 2008 05 8628.
 2008 04 68605.
 2008 03 45609.
 2008 02 43635·
 2008 01 12645·
 2007 12  4684.
 2007 11  44632.
 2007 10  38638.
 2007 09  95600.
 2007 08  80669.
 2007 07  90662.
 2007 06  57639·
 2007 05  74611·
 2007 04  46577·
 2007 03  64663·
 2007 02  14691·
 2007 01  95685.
 2006 12 77776·
 2006 11 74686·
 2006 10 45622·
 2006 09 26633·
 2006 08 75588.
 2006 07 50602.
 2006 06 15580.
 2006 05 62595·
 2006 04 63569·
 2006 03 50612·
 2006 02 11571·
 2006 01 21526.
 2005 12  94535.
 2005 11  55507·
 2005 10  45469.
 2005 09  48491·
 2005 08  42501.
 2005 07  71531.
 2005 06  56563.
 2005 05  13520·
 2005 04  7501.
 2005 03  31532.
 2005 02  7411·
 2005 01  8427·
 2004 12 15449·
 2004 11 91440.
 2004 10 85530·
 2004 09 53535·
 2004 08 16599·
 2004 07 33556·
 2004 06 3534.
 2004 05 93506·
 2004 04 86454.
 2004 03 63471·
 2004 02 0425.
 2004 01 96396·
 2003 12  25438.
 2003 11  13445·
 2003 10  38415.
 2003 09  57435·
 2003 08  59449·
 2003 07  40532·
 2003 06  5513.
 2003 05  95522.
 2003 04  37454·
 2003 03  25459.
 2003 02  14461·
 2003 01  53457.
 2002 12 36416·
 2002 11 74417.
 2002 10 2471·
 2002 09 2481·
 2002 08 56490.
 2002 07 21425.
 2002 06 34422·
 2002 05 35469.
 2002 04 21478.
 2002 03 20473.
 2002 02 96461·
 2002 01 71424·
 2001 12  83449.
 2001 11  54467·
 2001 10  1467·
 2001 09  55483.
 2001 08  16508·
 2001 07  30479.
 2001 06  88403·
 2001 05  55459.
 2001 04  22461·
 2001 03  79470·
 2001 02  19430·
 2001 01  67429·
 2000 12 25405·
 2000 11 57377·
 2000 10 82426·
 2000 09 8391·
 2000 08 77430·
 2000 07 47445·
 2000 06 91445·
 2000 05 23433.
 2000 04 51409·
 2000 03 55435·
 2000 02 82437·
 2000 01 81449·
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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, Management 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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