Home |
My Mood |
My Pet's Mood |
Products |
Contact/About |
Site Map |
Link to us
My Mood
|
|
|
Click on the smilie that reflects your mood or a number below. 10 = very happy, 1 = very angry.
Let's find out which city has the happiest people - then we all move there. LOL
Top 113 Happiest Cities |
|---|
| Country | State | City | Clicks | AVG. MOOD |
|---|
| NL | nh | amsterdam | 1 | 10.0000 | |
| NO | 03 | oslo | 1 | 10.0000 | |
| SE | ab | stockholm | 1 | 10.0000 | |
| US | ca | irvine | 1 | 10.0000 | |
| US | ca | san francisco | 2 | 10.0000 | |
| US | ca | winnetka | 1 | 10.0000 | |
| US | il | des plaines | 1 | 10.0000 | |
| US | il | homewood | 1 | 10.0000 | |
| US | il | rantoul | 1 | 10.0000 | |
| US | la | monroe | 1 | 10.0000 | |
| US | md | baltimore | 1 | 10.0000 | |
| US | nh | dover | 1 | 10.0000 | |
| US | nj | livingston | 1 | 10.0000 | |
| US | nv | las vegas | 2 | 10.0000 | |
| US | oh | loveland | 1 | 10.0000 | |
| US | tx | mc kinney | 2 | 10.0000 | |
| US | wv | charleston | 1 | 10.0000 | |
| US | wa | seattle | 67 | 9.9701 | |
| BR | rj | rio de janeiro | 31 | 9.8387 | |
| CA | on | oshawa | 7 | 9.5714 | |
| AZ | no region | baku | 2 | 9.5000 | |
| US | ca | san diego | 3 | 9.3333 | |
| CA | ns | halifax | 1 | 9.0000 | |
| CH | lu | luzern | 1 | 9.0000 | |
| US | ca | pittsburg | 1 | 9.0000 | |
| US | ca | sacramento | 2 | 9.0000 | |
| US | co | littleton | 1 | 9.0000 | |
| US | dc | washington | 11 | 9.0000 | |
| US | fl | tampa | 5 | 9.0000 | |
| US | ma | cambridge | 1 | 9.0000 | |
| US | mo | poplar bluff | 1 | 9.0000 | |
| US | nc | charlotte | 1 | 9.0000 | |
| US | ny | middletown | 1 | 9.0000 | |
| US | ok | oklahoma city | 1 | 9.0000 | |
| US | tx | san antonio | 1 | 9.0000 | |
| US | ny | new york | 3 | 8.6667 | |
| IN | dl | new delhi | 2 | 8.5000 | |
| US | mn | minneapolis | 2 | 8.5000 | |
| PH | riz | pasig | 3 | 8.3333 | |
| US | pa | philadelphia | 12 | 8.1667 | |
| PT | 11 | lisbon | 1 | 8.0000 | |
| US | az | flagstaff | 1 | 8.0000 | |
| US | ca | monterey | 1 | 8.0000 | |
| US | ca | pleasanton | 1 | 8.0000 | |
| US | fl | jacksonville | 1 | 8.0000 | |
| US | fl | miami | 2 | 8.0000 | |
| US | il | springfield | 1 | 8.0000 | |
| US | mo | st joseph | 1 | 8.0000 | |
| US | ny | buffalo | 1 | 8.0000 | |
| US | tx | midland | 2 | 8.0000 | |
| US | tx | richardson | 2 | 8.0000 | |
| US | wa | federal way | 1 | 8.0000 | |
| US | wa | kennewick | 1 | 8.0000 | |
| US | wa | kirkland | 1 | 8.0000 | |
| SG | no region | singapore | 3 | 7.3333 | |
| AU | vi | melbourne | 1 | 7.0000 | |
| GB | eng | sheffield | 1 | 7.0000 | |
| IN | rj | jaipur | 1 | 7.0000 | |
| IR | 07 | tehran | 2 | 7.0000 | |
| US | al | leeds | 2 | 7.0000 | |
| US | ca | pasadena | 1 | 7.0000 | |
| US | il | naperville | 1 | 7.0000 | |
| US | ky | louisville | 2 | 7.0000 | |
| US | md | elkton | 1 | 7.0000 | |
| US | nc | wilmington | 1 | 7.0000 | |
| US | nj | union city | 1 | 7.0000 | |
| US | oh | cleveland | 1 | 7.0000 | |
| US | ok | tulsa | 1 | 7.0000 | |
| US | co | denver | 2 | 6.5000 | |
| US | il | chicago | 2 | 6.5000 | |
| AT | 9 | vienna | 2 | 6.0000 | |
| CA | qc | montreal | 1 | 6.0000 | |
| IN | ka | bangalore | 1 | 6.0000 | |
| US | ny | mamaroneck | 1 | 6.0000 | |
| US | va | virginia beach | 1 | 6.0000 | |
| US | tx | houston | 7 | 5.8571 | |
| US | ca | santa clara | 3 | 5.6667 | |
| US | ca | san marcos | 2 | 5.5000 | |
| US | la | metairie | 2 | 5.5000 | |
| US | nj | pennsauken | 2 | 5.5000 | |
| US | ca | canoga park | 14 | 5.2143 | |
| KR | no region | seoul | 1 | 5.0000 | |
| MU | no region | port louis | 4 | 5.0000 | |
| US | ca | fontana | 1 | 5.0000 | |
| US | ca | los alamitos | 1 | 5.0000 | |
| US | ga | atlanta | 2 | 5.0000 | |
| US | nj | mount laurel | 1 | 5.0000 | |
| US | wi | amery | 1 | 5.0000 | |
| US | az | phoenix | 6 | 4.1667 | |
| US | ar | little rock | 3 | 4.0000 | |
| US | ca | los angeles | 1 | 4.0000 | |
| US | in | indianapolis | 1 | 4.0000 | |
| US | ma | quincy | 1 | 4.0000 | |
| US | mi | bay city | 1 | 4.0000 | |
| US | nj | avalon | 1 | 4.0000 | |
| US | pa | wayne | 2 | 4.0000 | |
| US | va | winchester | 1 | 4.0000 | |
| ** | *** | private | 5 | 3.6000 | |
| ID | jk | jakarta | 4 | 3.5000 | |
| MX | bcn | tijuana | 1 | 3.0000 | |
| US | ks | topeka | 1 | 3.0000 | |
| US | nj | newark | 1 | 3.0000 | |
| US | va | reston | 1 | 3.0000 | |
| US | ca | van nuys | 1 | 2.0000 | |
| US | nj | raritan | 1 | 2.0000 | |
| AE | no region | dubai | 1 | 1.0000 | |
| CA | bc | surrey | 1 | 1.0000 | |
| US | az | chandler | 1 | 1.0000 | |
| US | ca | hayward | 1 | 1.0000 | |
| US | ca | san bernardino | 1 | 1.0000 | |
| US | tx | cypress | 1 | 1.0000 | |
| US | wi | burlington | 1 | 1.0000 | |
| US | wi | random lake | 1 | 1.0000 | |
| Un-Happiest Cities |
|---|
| Country | State | City | Clicks | AVG. MOOD |
|---|
| AE | no region | dubai | 1 | 1.0000 | |
| CA | bc | surrey | 1 | 1.0000 | |
| US | az | chandler | 1 | 1.0000 | |
| US | ca | hayward | 1 | 1.0000 | |
| US | ca | san bernardino | 1 | 1.0000 | |
| US | tx | cypress | 1 | 1.0000 | |
| US | wi | burlington | 1 | 1.0000 | |
| US | wi | random lake | 1 | 1.0000 | |
| US | ca | van nuys | 1 | 2.0000 | |
| US | nj | raritan | 1 | 2.0000 | |
| MX | bcn | tijuana | 1 | 3.0000 | |
| US | ks | topeka | 1 | 3.0000 | |
| US | nj | newark | 1 | 3.0000 | |
| US | va | reston | 1 | 3.0000 | |
| ID | jk | jakarta | 4 | 3.5000 | |
| ** | *** | private | 5 | 3.6000 | |
| US | ar | little rock | 3 | 4.0000 | |
| US | ca | los angeles | 1 | 4.0000 | |
| US | in | indianapolis | 1 | 4.0000 | |
| US | ma | quincy | 1 | 4.0000 | |
| US | mi | bay city | 1 | 4.0000 | |
| US | nj | avalon | 1 | 4.0000 | |
| US | pa | wayne | 2 | 4.0000 | |
| US | va | winchester | 1 | 4.0000 | |
| US | az | phoenix | 6 | 4.1667 | |
| KR | no region | seoul | 1 | 5.0000 | |
| MU | no region | port louis | 4 | 5.0000 | |
| US | ca | fontana | 1 | 5.0000 | |
| US | ca | los alamitos | 1 | 5.0000 | |
| US | ga | atlanta | 2 | 5.0000 | |
| US | nj | mount laurel | 1 | 5.0000 | |
| US | wi | amery | 1 | 5.0000 | |
| US | ca | canoga park | 14 | 5.2143 | |
| US | ca | san marcos | 2 | 5.5000 | |
| US | la | metairie | 2 | 5.5000 | |
| US | nj | pennsauken | 2 | 5.5000 | |
| US | ca | santa clara | 3 | 5.6667 | |
| US | tx | houston | 7 | 5.8571 | |
| AT | 9 | vienna | 2 | 6.0000 | |
| CA | qc | montreal | 1 | 6.0000 | |
| IN | ka | bangalore | 1 | 6.0000 | |
| US | ny | mamaroneck | 1 | 6.0000 | |
| US | va | virginia beach | 1 | 6.0000 | |
| US | co | denver | 2 | 6.5000 | |
| US | il | chicago | 2 | 6.5000 | |
| AU | vi | melbourne | 1 | 7.0000 | |
| GB | eng | sheffield | 1 | 7.0000 | |
| IN | rj | jaipur | 1 | 7.0000 | |
| IR | 07 | tehran | 2 | 7.0000 | |
| US | al | leeds | 2 | 7.0000 | |
| US | ca | pasadena | 1 | 7.0000 | |
| US | il | naperville | 1 | 7.0000 | |
| US | ky | louisville | 2 | 7.0000 | |
| US | md | elkton | 1 | 7.0000 | |
| US | nc | wilmington | 1 | 7.0000 | |
| US | nj | union city | 1 | 7.0000 | |
| US | oh | cleveland | 1 | 7.0000 | |
| US | ok | tulsa | 1 | 7.0000 | |
| SG | no region | singapore | 3 | 7.3333 | |
| PT | 11 | lisbon | 1 | 8.0000 | |
| US | az | flagstaff | 1 | 8.0000 | |
| US | ca | monterey | 1 | 8.0000 | |
| US | ca | pleasanton | 1 | 8.0000 | |
| US | fl | jacksonville | 1 | 8.0000 | |
| US | fl | miami | 2 | 8.0000 | |
| US | il | springfield | 1 | 8.0000 | |
| US | mo | st joseph | 1 | 8.0000 | |
| US | ny | buffalo | 1 | 8.0000 | |
| US | tx | midland | 2 | 8.0000 | |
| US | tx | richardson | 2 | 8.0000 | |
| US | wa | federal way | 1 | 8.0000 | |
| US | wa | kennewick | 1 | 8.0000 | |
| US | wa | kirkland | 1 | 8.0000 | |
| US | pa | philadelphia | 12 | 8.1667 | |
| PH | riz | pasig | 3 | 8.3333 | |
| IN | dl | new delhi | 2 | 8.5000 | |
| US | mn | minneapolis | 2 | 8.5000 | |
| US | ny | new york | 3 | 8.6667 | |
| CA | ns | halifax | 1 | 9.0000 | |
| CH | lu | luzern | 1 | 9.0000 | |
| US | ca | pittsburg | 1 | 9.0000 | |
| US | ca | sacramento | 2 | 9.0000 | |
| US | co | littleton | 1 | 9.0000 | |
| US | dc | washington | 11 | 9.0000 | |
| US | fl | tampa | 5 | 9.0000 | |
| US | ma | cambridge | 1 | 9.0000 | |
| US | mo | poplar bluff | 1 | 9.0000 | |
| US | nc | charlotte | 1 | 9.0000 | |
| US | ny | middletown | 1 | 9.0000 | |
| US | ok | oklahoma city | 1 | 9.0000 | |
| US | tx | san antonio | 1 | 9.0000 | |
| US | ca | san diego | 3 | 9.3333 | |
| AZ | no region | baku | 2 | 9.5000 | |
| CA | on | oshawa | 7 | 9.5714 | |
| BR | rj | rio de janeiro | 31 | 9.8387 | |
| US | wa | seattle | 67 | 9.9701 | |
| NL | nh | amsterdam | 1 | 10.0000 | |
| NO | 03 | oslo | 1 | 10.0000 | |
| SE | ab | stockholm | 1 | 10.0000 | |
| US | ca | irvine | 1 | 10.0000 | |
| US | ca | san francisco | 2 | 10.0000 | |
| US | ca | winnetka | 1 | 10.0000 | |
| US | il | des plaines | 1 | 10.0000 | |
| US | il | homewood | 1 | 10.0000 | |
| US | il | rantoul | 1 | 10.0000 | |
| US | la | monroe | 1 | 10.0000 | |
| US | md | baltimore | 1 | 10.0000 | |
| US | nh | dover | 1 | 10.0000 | |
| US | nj | livingston | 1 | 10.0000 | |
| US | nv | las vegas | 2 | 10.0000 | |
| US | oh | loveland | 1 | 10.0000 | |
| US | tx | mc kinney | 2 | 10.0000 | |
| US | wv | charleston | 1 | 10.0000 | |
|
|
|
Totally Integrated Web Solution
Integrate all of your components
into ONE Enterprise Application.
Includes: Website, Customer
Relationship Management (CRM),
Databases (DB), Documents,
Billing/Accounting/Finances,
Online Marketing, Emails, Twitter...
Free Website Trial
Try our websites for 15 days FREE!
Generate leads, run email campaigns
and oline ads with Twitter.
No credit card needed. Click here
Affordable Performance Websites
MyInfo.com offers affordable
websites which bring you visitors
and keep them. Starting at $9.99/mo
Online Marketing Training
We offer training to help you with
your online marketing tasks. These
training sessions are very effective
and affordable. Signup today.
Limited availability.
1st come 1st serve
Twitter Keyword Follow Tool
Affordable, high performance
keyword follow tool designed for
Twitter. Take advantage of this
exiting new marketing tool.
Campaign Manager
Low cost Email campaigns with
excellent tracking tools. You can also
explore social networking campaigns...
|
|
