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 Series Title: Employment Level: Mexican, Personal Care and Service Occupations: NSA
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 2012 04 53479.
 2012 03 92492·
 2012 02 44476.
 2012 01 43469·
 2011 12  47435·
 2011 11  15446.
 2011 10  11443.
 2011 09  26425·
 2011 08  33427·
 2011 07  62396·
 2011 06  3389.
 2011 05  32427·
 2011 04  60439·
 2011 03  14444.
 2011 02  35399·
 2011 01  6363.
 2010 12 5413.
 2010 11 77399·
 2010 10 43352.
 2010 09 17360·
 2010 08 67362·
 2010 07 84362·
 2010 06 90411.
 2010 05 59423·
 2010 04 72428.
 2010 03 91434·
 2010 02 65424.
 2010 01 51419.
 2009 12  70406·
 2009 11  80415·
 2009 10  80413.
 2009 09  38417·
 2009 08  37340.
 2009 07  57381·
 2009 06  74353.
 2009 05  88393.
 2009 04  73418.
 2009 03  54438·
 2009 02  9448·
 2009 01  96417.
 2008 12 3366·
 2008 11 27374.
 2008 10 73367·
 2008 09 80398·
 2008 08 79475.
 2008 07 59442.
 2008 06 78459·
 2008 05 86430.
 2008 04 74410.
 2008 03 56323.
 2008 02 64365·
 2008 01 82375·
 2007 12  90347·
 2007 11  49320.
 2007 10  92367·
 2007 09  61393.
 2007 08  53389.
 2007 07  95401.
 2007 06  51399·
 2007 05  45361·
 2007 04  11355·
 2007 03  76366·
 2007 02  53335.
 2007 01  75335·
 2006 12 42356.
 2006 11 98329.
 2006 10 37345·
 2006 09 22370·
 2006 08 44362.
 2006 07 94381.
 2006 06 65330·
 2006 05 80288·
 2006 04 45323·
 2006 03 19337·
 2006 02 25366·
 2006 01 68329·
 2005 12  93299·
 2005 11  56294·
 2005 10  30291·
 2005 09  30271.
 2005 08  65303.
 2005 07  11326·
 2005 06  18263.
 2005 05  36316.
 2005 04  60351.
 2005 03  15372·
 2005 02  52358·
 2005 01  78349·
 2004 12 4376·
 2004 11 25350.
 2004 10 20329.
 2004 09 77333.
 2004 08 48368.
 2004 07 24316·
 2004 06 34295.
 2004 05 77302·
 2004 04 67280.
 2004 03 17330·
 2004 02 33354.
 2004 01 46329.
 2003 12  62322·
 2003 11  36352·
 2003 10  79292·
 2003 09  79297·
 2003 08  57349·
 2003 07  38357.
 2003 06  61367.
 2003 05  96291·
 2003 04  3254·
 2003 03  5297.
 2003 02  90319.
 2003 01  39283·
 2002 12 76315.
 2002 11 43306.
 2002 10 6271.
 2002 09 79261.
 2002 08 75302·
 2002 07 83310·
 2002 06 71300.
 2002 05 9362·
 2002 04 27331.
 2002 03 83309·
 2002 02 72302.
 2002 01 49313·
 2001 12  81328.
 2001 11  24298.
 2001 10  23264.
 2001 09  43233·
 2001 08  14262.
 2001 07  13254·
 2001 06  62265·
 2001 05  59284·
 2001 04  25274·
 2001 03  81290.
 2001 02  52300·
 2001 01  93251.
 2000 12 40257·
 2000 11 84281.
 2000 10 80252.
 2000 09 63241·
 2000 08 9255·
 2000 07 6241·
 2000 06 59242.
 2000 05 13254.
 2000 04 7264.
 2000 03 52211·
 2000 02 27246.
 2000 01 12244·
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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, Personal Care and Service Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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