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 Series Title: Employment Level: Mexican, Protective Service Occupations: NSA
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 2000 01 29125·
 2000 02 11115·
 2000 03 18119·
 2000 04 53122·
 2000 05 42123·
 2000 06 14134.
 2000 07 0150.
 2000 08 61135.
 2000 09 39118·
 2000 10 33122.
 2000 11 1128.
 2000 12 87149.
 2001 01  73162.
 2001 02  52162.
 2001 03  35146.
 2001 04  75149·
 2001 05  17138·
 2001 06  76125·
 2001 07  40153.
 2001 08  93193·
 2001 09  72177.
 2001 10  37169·
 2001 11  77193·
 2001 12  36205.
 2002 01 64170·
 2002 02 92170.
 2002 03 36163·
 2002 04 24121.
 2002 05 43124·
 2002 06 22128.
 2002 07 29143.
 2002 08 99172.
 2002 09 84157.
 2002 10 35152.
 2002 11 94160.
 2002 12 31146·
 2003 01  89158·
 2003 02  61143·
 2003 03  94163·
 2003 04  15138·
 2003 05  81138·
 2003 06  57150·
 2003 07  17155·
 2003 08  70155·
 2003 09  12127.
 2003 10  6128·
 2003 11  75123·
 2003 12  39192·
 2004 01 57177.
 2004 02 13184.
 2004 03 7192·
 2004 04 92143·
 2004 05 17153.
 2004 06 10177·
 2004 07 75173·
 2004 08 22211.
 2004 09 16199.
 2004 10 54207·
 2004 11 68194·
 2004 12 50225·
 2005 01  6188·
 2005 02  27159·
 2005 03  98185.
 2005 04  20177·
 2005 05  61172.
 2005 06  35189.
 2005 07  3184·
 2005 08  99161·
 2005 09  81184·
 2005 10  10152·
 2005 11  46162.
 2005 12  83168·
 2006 01 94154.
 2006 02 8159.
 2006 03 15186.
 2006 04 91197.
 2006 05 48194·
 2006 06 11206.
 2006 07 23171.
 2006 08 67163·
 2006 09 19129.
 2006 10 26136·
 2006 11 8146·
 2006 12 79148.
 2007 01  7135·
 2007 02  85127.
 2007 03  32138·
 2007 04  23137.
 2007 05  39149·
 2007 06  43146.
 2007 07  83169.
 2007 08  17157.
 2007 09  64154·
 2007 10  84193.
 2007 11  75154·
 2007 12  5149·
 2008 01 57161.
 2008 02 12151·
 2008 03 45148.
 2008 04 57138·
 2008 05 20188.
 2008 06 60193·
 2008 07 57216·
 2008 08 66251·
 2008 09 77188·
 2008 10 86187.
 2008 11 97180·
 2008 12 52193·
 2009 01  79183·
 2009 02  69231.
 2009 03  79252·
 2009 04  59248·
 2009 05  1248.
 2009 06  17226.
 2009 07  41204·
 2009 08  56201.
 2009 09  44199.
 2009 10  62216·
 2009 11  46251·
 2009 12  38243.
 2010 01 32227·
 2010 02 59255·
 2010 03 82269.
 2010 04 22255.
 2010 05 18311·
 2010 06 92282·
 2010 07 60245·
 2010 08 55274·
 2010 09 75232.
 2010 10 66226·
 2010 11 21220.
 2010 12 3189·
 2011 01  4167.
 2011 02  13180.
 2011 03  25184·
 2011 04  63190.
 2011 05  31210.
 2011 06  90251.
 2011 07  62261.
 2011 08  53306·
 2011 09  6253·
 2011 10  78252.
 2011 11  44214.
 2011 12  16221.
 2012 01 4203·
 2012 02 85200·
 2012 03 8214.
 2012 04 23242·
 2012 05 26268.
 2012 06 40249·
 2012 07 19305·
 2012 08 67261.
 2012 09 97224.
 2012 10 3233·
 2012 11 63227.
 2012 12 68267.
 2013 01  67289·
 2013 02  53318.
 2013 03  54301.
 2013 04  69309.
 2013 05  13290.
 2013 06  97254.
 2013 07  29285.
 2013 08  40260·
 2013 09  34246.
 2013 10  68232.
 2013 11  52262·
 2013 12  75286·
 2014 01 55296·
 2014 02 22334.
 2014 03 10303.
 2014 04 92342·
 2014 05 28275.
 2014 06 40250.
 2014 07 16247·
 2014 08 37176.
 2014 09 27187·
 2014 10 29170.
 2014 11 9191·
 2014 12 79224.
 2015 01  53229·
 2015 02  21243.
 2015 03  50250·
 2015 04  11245·
 2015 05  32223.
 2015 06  73259.
 2015 07  28281·
 2015 08  52273.
 2015 09  13237.
 2015 10  65260.
 2015 11  56233·
 2015 12  47219·
 2016 01 72237·
 2016 02 5239.
 2016 03 71225·
 2016 04 65248·
 2016 05 9262·
 2016 06 25237·
 2016 07 37256.
 2016 08 1223·
 2016 09 51246·
 2016 10 80258.
 2016 11 41273·
 2016 12 72243·
 2017 01  46229.
 2017 02  53240.
 2017 03  97233.
 2017 04  23250·


 2017 05  71239.
 2017 06  51237·
 2017 07  42255.
 2017 08  24258.
 2017 09  27221·
 2017 10  4221·
 2017 11  39185·
 2017 12  69209·
 2018 01 37217·
 2018 02 70225.
 2018 03 76241.
 2018 04 76268·
 2018 05 54277·
 2018 06 30219.
 2018 07 66280·
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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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