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 Series Title: Employment Level: Mexican, Healthcare Support Occupations: NSA
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 2012 04 91316·
 2012 03 5301·
 2012 02 61269·
 2012 01 68263·
 2011 12  60204·
 2011 11  72204.
 2011 10  40226·
 2011 09  32280.
 2011 08  96244·
 2011 07  37263.
 2011 06  19243.
 2011 05  94240.
 2011 04  48286·
 2011 03  82275.
 2011 02  13281.
 2011 01  99278·
 2010 12 92260·
 2010 11 14306·
 2010 10 58300·
 2010 09 16287.
 2010 08 28317·
 2010 07 64261·
 2010 06 17230.
 2010 05 38246·
 2010 04 83253.
 2010 03 89289.
 2010 02 79330·
 2010 01 87325.
 2009 12  6323·
 2009 11  71327·
 2009 10  57316.
 2009 09  4288·
 2009 08  72246.
 2009 07  17210·
 2009 06  88217·
 2009 05  60226.
 2009 04  83245.
 2009 03  57267.
 2009 02  35299·
 2009 01  49249·
 2008 12 63269.
 2008 11 49222·
 2008 10 85218·
 2008 09 89211·
 2008 08 63225.
 2008 07 74223.
 2008 06 53250.
 2008 05 26246.
 2008 04 58227.
 2008 03 39234.
 2008 02 76195·
 2008 01 27204·
 2007 12  49215·
 2007 11  75234.
 2007 10  16187.
 2007 09  88192.
 2007 08  61204·
 2007 07  40255·
 2007 06  62251.
 2007 05  27288.
 2007 04  44264.
 2007 03  14243.
 2007 02  27214.
 2007 01  88153·
 2006 12 74191.
 2006 11 5180·
 2006 10 47215·
 2006 09 41210.
 2006 08 52210·
 2006 07 44197.
 2006 06 87212.
 2006 05 80224.
 2006 04 1176.
 2006 03 88220.
 2006 02 35178·
 2006 01 24220·
 2005 12  74272.
 2005 11  18244.
 2005 10  2293·
 2005 09  17294.
 2005 08  45257.
 2005 07  41247.
 2005 06  27248·
 2005 05  28233.
 2005 04  15231·
 2005 03  88194.
 2005 02  73196·
 2005 01  51187·
 2004 12 10173·
 2004 11 17177.
 2004 10 28224.
 2004 09 6215·
 2004 08 78194.
 2004 07 9251.
 2004 06 4187·
 2004 05 37187.
 2004 04 97220·
 2004 03 71215.
 2004 02 40227.
 2004 01 12193·
 2003 12  66169·
 2003 11  33184.
 2003 10  99200.
 2003 09  26210.
 2003 08  10208·
 2003 07  54196.
 2003 06  67182.
 2003 05  98226.
 2003 04  81179.
 2003 03  14140·
 2003 02  59172·
 2003 01  73175·
 2002 12 53156·
 2002 11 20177·
 2002 10 12194·
 2002 09 18179.
 2002 08 27165·
 2002 07 3182.
 2002 06 89177·
 2002 05 30211.
 2002 04 29179.
 2002 03 22174·
 2002 02 77162.
 2002 01 25175·
 2001 12  8207.
 2001 11  56167.
 2001 10  91157.
 2001 09  50167.
 2001 08  40164.
 2001 07  13198.
 2001 06  67183.
 2001 05  72145·
 2001 04  26108·
 2001 03  24134.
 2001 02  68143.
 2001 01  87158.
 2000 12 90185.
 2000 11 46166.
 2000 10 83160·
 2000 09 12148.
 2000 08 84134·
 2000 07 61102.
 2000 06 24110·
 2000 05 93100.
 2000 04 8287.
 2000 03 7590·
 2000 02 30108.
 2000 01 98121·
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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, Healthcare Support Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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