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 Series Title: Employment Level: Mexican, Legal Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 4736.
 2000 02 8643·
 2000 03 1930.
 2000 04 1631.
 2000 05 7344.
 2000 06 8844·
 2000 07 6141·
 2000 08 2144·
 2000 09 7839.
 2000 10 130.
 2000 11 1758·
 2000 12 3770·
 2001 01  1347·
 2001 02  752·
 2001 03  9839.
 2001 04  935.
 2001 05  5143·
 2001 06  1147·
 2001 07  4437.
 2001 08  545.
 2001 09  9551.
 2001 10  4751·
 2001 11  1852.
 2001 12  1951·
 2002 01 7041.
 2002 02 7042·
 2002 03 636.
 2002 04 7131.
 2002 05 2549·
 2002 06 6351·
 2002 07 2234·
 2002 08 531.
 2002 09 3635.
 2002 10 3137·
 2002 11 351·
 2002 12 9055·
 2003 01  451·
 2003 02  652·
 2003 03  1451·
 2003 04  2138.
 2003 05  5434.
 2003 06  4640.
 2003 07  4142.
 2003 08  1534·
 2003 09  3635·
 2003 10  3238·
 2003 11  9756.
 2003 12  1861·
 2004 01 2657·
 2004 02 6946.
 2004 03 2026.
 2004 04 9926·
 2004 05 2434.
 2004 06 9133.
 2004 07 7429.
 2004 08 5140.
 2004 09 5537.
 2004 10 5430.
 2004 11 4648.
 2004 12 9445·
 2005 01  7140·
 2005 02  3853.
 2005 03  4964·
 2005 04  7251·
 2005 05  4662.
 2005 06  5266·
 2005 07  2169.
 2005 08  5458·
 2005 09  8065·
 2005 10  2669.
 2005 11  2470.
 2005 12  3560.
 2006 01 062.
 2006 02 1862·
 2006 03 4859.
 2006 04 3356.
 2006 05 5560.
 2006 06 863·
 2006 07 352·
 2006 08 9254·
 2006 09 2147.
 2006 10 438.
 2006 11 3041.
 2006 12 8332·
 2007 01  9835·
 2007 02  3733.
 2007 03  8951.
 2007 04  9861.
 2007 05  1266·
 2007 06  6447·
 2007 07  7052.
 2007 08  5756·
 2007 09  1347.
 2007 10  6653.
 2007 11  8546.
 2007 12  451·
 2008 01 7649.
 2008 02 5047.
 2008 03 7253.
 2008 04 885.
 2008 05 282.
 2008 06 4880·
 2008 07 9368·
 2008 08 6465·
 2008 09 1739.
 2008 10 1743·
 2008 11 3862.
 2008 12 9067.
 2009 01  6954.
 2009 02  3748·
 2009 03  1837·
 2009 04  3136·
 2009 05  3621·
 2009 06  1621·
 2009 07  7214.
 2009 08  5619·
 2009 09  1835.
 2009 10  8551·
 2009 11  6277.
 2009 12  5877·
 2010 01 3963·
 2010 02 168·
 2010 03 7742.
 2010 04 5832.
 2010 05 5029·
 2010 06 4632.
 2010 07 2929·
 2010 08 9920·
 2010 09 2743.
 2010 10 2639·
 2010 11 5653·
 2010 12 5155·
 2011 01  7057.
 2011 02  7265.
 2011 03  2129.
 2011 04  735.
 2011 05  434.
 2011 06  4246·
 2011 07  1153·
 2011 08  8749·
 2011 09  8050.
 2011 10  1837.
 2011 11  4155.
 2011 12  3457·
 2012 01 7361·
 2012 02 566.
 2012 03 4865.
 2012 04 1875·
 2012 05 8367·
 2012 06 3591.
 2012 07 9454·
 2012 08 3462·
 2012 09 3757.
 2012 10 6544.
 2012 11 6735·
 2012 12 027.
 2013 01  8337.
 2013 02  7752.
 2013 03  8170.
 2013 04  6058·
 2013 05  9965·
 2013 06  7884.
 2013 07  7386.
 2013 08  8388·
 2013 09  8372·
 2013 10  9862.
 2013 11  677.
 2013 12  6570.
 2014 01 6251.
 2014 02 9563·
 2014 03 6863·
 2014 04 2364·
 2014 05 8691.
 2014 06 5089·
 2014 07 7277.
 2014 08 181·
 2014 09 3059.
 2014 10 7063·
 2014 11 5680·
 2014 12 7173·
 2015 01  9589·
 2015 02  8780·
 2015 03  8366·
 2015 04  2445·
 2015 05  565·
 2015 06  5669.
 2015 07  4067·
 2015 08  8068·
 2015 09  1251·
 2015 10  6157·
 2015 11  4170·
 2015 12  8474.
 2016 01 9163·
 2016 02 766·
 2016 03 2377·
 2016 04 548·
 2016 05 4275.
 2016 06 2669.
 2016 07 5066·
 2016 08 3774.
 2016 09 9178·
 2016 10 7562·
 2016 11 890·
 2016 12 9882·
 2017 01  8862·
 2017 02  3579.
 2017 03  1277·
 2017 04  3388.
 2017 05  8100.
 2017 06  1372.
 2017 07  9885·
 2017 08  1262·


 2017 09  5270·
 2017 10  4148.
 2017 11  3167.
 2017 12  2882·
 2018 01 4590.
 2018 02 75106.
 2018 03 97100.
 2018 04 1104·
 2018 05 37114.
 2018 06 97113.
 2018 07 1086·
 2018 08 7490·
 2018 09 4104·
 2018 10 1387.
 2018 11 789·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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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