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 Series Title: Employment Level: Mexican, Protective Service 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 56125·
 2000 02 61115.
 2000 03 33119·
 2000 04 18122.
 2000 05 86123·
 2000 06 11134.
 2000 07 67150.
 2000 08 58135·
 2000 09 71118.
 2000 10 47122·
 2000 11 89128.
 2000 12 85149.
 2001 01  59162·
 2001 02  50162.
 2001 03  13146.
 2001 04  42149.
 2001 05  27138.
 2001 06  28125·
 2001 07  76153.
 2001 08  98193·
 2001 09  76177·
 2001 10  12169·
 2001 11  40193·
 2001 12  48205·
 2002 01 29170.
 2002 02 58170·
 2002 03 95163.
 2002 04 11121·
 2002 05 38124·
 2002 06 49128·
 2002 07 53143·
 2002 08 31172.
 2002 09 79157.
 2002 10 90152·
 2002 11 52160·
 2002 12 77146·
 2003 01  51158.
 2003 02  13143·
 2003 03  54163·
 2003 04  42138.
 2003 05  80138.
 2003 06  76150.
 2003 07  47155·
 2003 08  47155·
 2003 09  17127.
 2003 10  60128·
 2003 11  45123·
 2003 12  36192.
 2004 01 36177·
 2004 02 70184.
 2004 03 86192·
 2004 04 77143.
 2004 05 38153·
 2004 06 40177·
 2004 07 32173·
 2004 08 65211·
 2004 09 49199.
 2004 10 26207·
 2004 11 70194·
 2004 12 19225·
 2005 01  19188·
 2005 02  9159.
 2005 03  15185.
 2005 04  82177·
 2005 05  23172.
 2005 06  95189·
 2005 07  4184·
 2005 08  25161.
 2005 09  62184.
 2005 10  18152.
 2005 11  99162·
 2005 12  41168.
 2006 01 61154.
 2006 02 32159·
 2006 03 89186.
 2006 04 49197·
 2006 05 70194·
 2006 06 21206.
 2006 07 86171.
 2006 08 94163.
 2006 09 65129·
 2006 10 90136·
 2006 11 29146·
 2006 12 45148·
 2007 01  47135·
 2007 02  71127·
 2007 03  81138·
 2007 04  96137.
 2007 05  40149·
 2007 06  20146·
 2007 07  28169·
 2007 08  65157·
 2007 09  95154·
 2007 10  21193·
 2007 11  85154.
 2007 12  98149·
 2008 01 88161·
 2008 02 78151·
 2008 03 89148·
 2008 04 63138.
 2008 05 18188.
 2008 06 24193.
 2008 07 2216·
 2008 08 54251.
 2008 09 12188·
 2008 10 15187·
 2008 11 14180.
 2008 12 91193·
 2009 01  19183·
 2009 02  34231.
 2009 03  36252·
 2009 04  17248·
 2009 05  15248.
 2009 06  86226.
 2009 07  6204.
 2009 08  3201.
 2009 09  1199.
 2009 10  3216.
 2009 11  88251.
 2009 12  41243.
 2010 01 1227.
 2010 02 42255·
 2010 03 70269.
 2010 04 51255·
 2010 05 67311·
 2010 06 85282.
 2010 07 63245·
 2010 08 78274.
 2010 09 73232·
 2010 10 38226.
 2010 11 7220.
 2010 12 90189·
 2011 01  20167.
 2011 02  32180·
 2011 03  64184·
 2011 04  82190.
 2011 05  34210·
 2011 06  26251·
 2011 07  22261·
 2011 08  72306·
 2011 09  64253.
 2011 10  99252.
 2011 11  93214.
 2011 12  5221.
 2012 01 86203.
 2012 02 59200·
 2012 03 16214.
 2012 04 50242.
 2012 05 1268·
 2012 06 37249.
 2012 07 54305·
 2012 08 1261.
 2012 09 34224.
 2012 10 91233·
 2012 11 94227·
 2012 12 77267·
 2013 01  35289·
 2013 02  1318.
 2013 03  50301·
 2013 04  23309·
 2013 05  79290·
 2013 06  74254.
 2013 07  59285·
 2013 08  7260.
 2013 09  68246.
 2013 10  43232·
 2013 11  84262·
 2013 12  24286·
 2014 01 26296.
 2014 02 63334.
 2014 03 13303.
 2014 04 92342·
 2014 05 4275.
 2014 06 16250·
 2014 07 59247·
 2014 08 57176·
 2014 09 78187.
 2014 10 9170·
 2014 11 59191.
 2014 12 86224·
 2015 01  47229.
 2015 02  73243.
 2015 03  78250.
 2015 04  75245·
 2015 05  37223·
 2015 06  66259·
 2015 07  2281·
 2015 08  42273·
 2015 09  98237·
 2015 10  69260.
 2015 11  44233.
 2015 12  32219.
 2016 01 6237·
 2016 02 88239·
 2016 03 43225·
 2016 04 13248·


 2016 05 62262·
 2016 06 55237·
 2016 07 62256·
 2016 08 80223·
 2016 09 90246·
 2016 10 27258·
 2016 11 87273·
 2016 12 52243.
 2017 01  40229.
 2017 02  85240·
 2017 03  32233·
 2017 04  73250·
 2017 05  90239·
 2017 06  36237·
 2017 07  36255.
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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, Protective Service 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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