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 Series Title: Employment Level: Mexican, Legal Occupations: NSA
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 2012 04 7475·
 2012 03 4265·
 2012 02 466·
 2012 01 9461.
 2011 12  7057·
 2011 11  9255·
 2011 10  2237.
 2011 09  5350.
 2011 08  5749.
 2011 07  6553·
 2011 06  6646·
 2011 05  3634·
 2011 04  8635·
 2011 03  4429·
 2011 02  4965·
 2011 01  8757·
 2010 12 3255.
 2010 11 3453·
 2010 10 939·
 2010 09 7443·
 2010 08 9620.
 2010 07 6729.
 2010 06 832.
 2010 05 9329·
 2010 04 332·
 2010 03 142·
 2010 02 3468·
 2010 01 6263.
 2009 12  277·
 2009 11  1677·
 2009 10  151.
 2009 09  2535·
 2009 08  7119·
 2009 07  1914.
 2009 06  4621.
 2009 05  5121.
 2009 04  936·
 2009 03  4337·
 2009 02  3348·
 2009 01  3654.
 2008 12 4167·
 2008 11 4362.
 2008 10 4843.
 2008 09 9739·
 2008 08 1765.
 2008 07 168·
 2008 06 580.
 2008 05 7982·
 2008 04 1585·
 2008 03 2453.
 2008 02 4347·
 2008 01 5149.
 2007 12  3251.
 2007 11  4446·
 2007 10  2253·
 2007 09  847·
 2007 08  9656·
 2007 07  1752.
 2007 06  3347·
 2007 05  6766.
 2007 04  5661·
 2007 03  2551.
 2007 02  8733·
 2007 01  7435·
 2006 12 8832·
 2006 11 7441.
 2006 10 2238.
 2006 09 9847.
 2006 08 9354.
 2006 07 9652.
 2006 06 163.
 2006 05 3360·
 2006 04 9456.
 2006 03 4859.
 2006 02 1362·
 2006 01 9762·
 2005 12  4460·
 2005 11  1170·
 2005 10  7069·
 2005 09  3665.
 2005 08  1758.
 2005 07  9269.
 2005 06  1066.
 2005 05  1862.
 2005 04  1451·
 2005 03  2364·
 2005 02  9553.
 2005 01  3740·
 2004 12 6045·
 2004 11 6048·
 2004 10 1430·
 2004 09 1237·
 2004 08 640·
 2004 07 8529.
 2004 06 8033·
 2004 05 8934.
 2004 04 2726·
 2004 03 526·
 2004 02 3046.
 2004 01 3557.
 2003 12  2261·
 2003 11  5056.
 2003 10  2838·
 2003 09  4435.
 2003 08  1934·
 2003 07  7942.
 2003 06  6140·
 2003 05  3734.
 2003 04  6738.
 2003 03  7251·
 2003 02  4252.
 2003 01  5751.
 2002 12 4155.
 2002 11 3751·
 2002 10 1037·
 2002 09 7435·
 2002 08 4231·
 2002 07 434·
 2002 06 2651·
 2002 05 8149.
 2002 04 9531·
 2002 03 3036·
 2002 02 7942.
 2002 01 9741·
 2001 12  5151.
 2001 11  9852·
 2001 10  8251.
 2001 09  6751·
 2001 08  8545.
 2001 07  1337.
 2001 06  7247·
 2001 05  6043·
 2001 04  9835.
 2001 03  739·
 2001 02  1352.
 2001 01  7047.
 2000 12 1470·
 2000 11 3858.
 2000 10 9330.
 2000 09 1739.
 2000 08 8544·
 2000 07 8641·
 2000 06 2344.
 2000 05 4344.
 2000 04 8531·
 2000 03 5830.
 2000 02 4343.
 2000 01 1936.
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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, Legal 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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