WORLD EMOTION GLOBAL TREND

WEAK +0.5%
Tomorrow: ANGRY +2.9%
09/Nov/2016: HAPPY +1.7%
Last Data-set:
07/Nov/2016
05:13 UTC
Ambala, India happy +21.8% − Guarapuava, Brazil strong +18.9% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Medellín, Colombia strong +21.8% − Waverley, United Kingdom weak +24.4% − Raniganj, India confused +23.2% − Sikar, India confused +24.6% − Ulan-Ude, Russia confused +2.6% − Pinar del Río, Cuba confused +18.6% − Maiduguri, Nigeria confused +21.6% − Springfield, United States confused +5.1% − Warren, United States strong +22.1% − Xichang, China confused +20.3% − Amiens, France confused +22.5% − Huntington Beach, United States strong +23.2% − Cardiff, United Kingdom strong +16.1% − North York, Canada strong +20.2% − Botou, China strong +24.2% − ST. GEORGES, Grenada strong +19.2% − Xichang, China confused +20.3% − Gurgaon, India strong +14.2% − Paraná, Argentina strong +12.3% − Ichikawa, Japan strong +4.5% − Dunfermline, United Kingdom confused +6.9% − Arad, Romania strong +11.8% − Rangpur, Bangladesh happy +24.3% − Abeokuta, Nigeria happy +19.5% − Hachinohe, Japan strong +21.2% − Tegal, Indonesia confused +4.6% − Phoenix, United States strong +11.7% − San Cristóbal, Venezuela weak +18.5% − Bobo Dioulasso, Burkina Faso angry +20.4% − Beaumont, United States confused +12.1% − Chillán, Chile strong +21.7% − Erbil, Iraq strong +20.1% − Eastleigh, United Kingdom happy +19.0% − Jequié, Brazil strong +5.6% − Monywa, Myanmar confused +22.1% − Mulhouse, France happy +21.4% − Gaya, India strong +23.6% − Fukuoka, Japan weak +13.4% − Surakarta, Indonesia strong +20.9% − Cangzhou, China confused +17.7% − Yokkaichi, Japan strong +19.6% − Regensburg, Germany strong +16.0% − Botou, China strong +24.2% − Oberhausen, Germany weak +19.1% − Erlangen, Germany confused +22.9% − The Wrekin, United Kingdom happy +23.6% − BRIDGETOWN, Barbados confused +23.8% − Giza, Egypt confused +23.8% − Ndola, Zambia happy +17.9% − Mbeya, Tanzania confused +22.8% − Susano, Brazil strong +1.7% − Silay, Philippines happy +19.9% − Tameside, United Kingdom confused +19.1% − Shaoyang, China weak +21.8% − Engels, Russia strong +21.7% − Ulsan, Korea, South confused +24.5% − Várzea Grande, Brazil strong +21.5% − Pegu, Myanmar confused +24.1% − Yavatmal, India guilty +24.6% − PANAMA, Panama strong +3.1% − Tanga, Tanzania confused +20.3% − Boksburg, South Africa confused +18.1% − Burgos, Spain strong +19.8% − Remscheid, Germany strong +19.6% − Chungju, Korea, South sad +4.6% − Fresno, United States strong +21.7% − Thai Nguyen, Vietnam sad +18.1% − Chungju, Korea, South sad +4.6% − Hamilton, Canada confused +21.0% − Anyang, China confused +1.0% − Daxian, China sad +23.8% − Waitakere, New Zealand confused +23.5% − Lapu-Lapu, Philippines strong +24.6% − Tarragona, Spain strong +21.8% − Malabon, Philippines happy +23.0% − Tyumen, Russia strong +7.1% − The Wrekin, United Kingdom happy +23.6% − Jhang, Pakistan strong +23.9% − Grodno, Belarus sad +19.8% − Ubon Ratchathani, Thailand confused +23.5% − Kure, Japan happy +17.9% − Tacoma, United States confused +20.3% − ROAD TOWN, British Virgin Islands confused +22.0% − Piracicaba, Brazil strong +20.7% − Jamalpur, Bangladesh confused +17.7% − Zonguldak, Turkey strong +22.9% − TIRANA, Albania sad +18.7% − Loudi, China weak +17.8% − Nizhnekamsk, Russia confused +21.0% − Vallejo, United States confused +21.9% − BASSE-TERRE, Guadeloupe strong +24.8% − San Sebastián, Spain confused +24.0% − Smolensk, Russia happy +17.6% − Anjo, Japan strong +2.2% − Mönchengladbach, Germany happy +14.7% − Zonguldak, Turkey strong +22.9% − Sedgemoor, United Kingdom strong +19.3% − Chon Buri, Thailand strong +23.4% −
Manchester, United Kingdom strong -9.2% − Brescia, Italy strong -18.6% − Peshawar, Pakistan strong -24.4% − Gent, Belgium strong -4.2% − Richmond, United States confused -21.8% − Queimados, Brazil strong -20.4% − Petrópolis, Brazil strong -18.6% − Jersey City, United States strong -23.2% − Kawachinagano, Japan happy -22.9% − Birmingham, United States confused -22.6% − San Pablo, Philippines strong -18.3% − Kotte, Sri Lanka confused -1.5% − Jinan, China strong -8.9% − Halifax, Canada strong -19.1% − Amagasaki, Japan happy -24.2% − Richmond, United States confused -21.8% − Crewe & Nantwich, United Kingdom strong -17.6% − Cochabamba, Bolivia strong -23.2% − South Cambridgeshire, United Kingdom strong -17.7% − Ingolstadt, Germany strong -14.9% − Durango, Mexico strong -25.0% − Rouen, France strong -6.3% − Tanjung Balai, Indonesia weak -4.9% − Hampton, United States strong -12.1% − Anand, India strong -3.1% − Mojokerto, Indonesia strong -13.8% − Alexandria, United States strong -11.9% − Darlington, United Kingdom strong -24.3% − Jiamusi, China strong -18.6% − Magdeburg, Germany strong -23.7% − Chimbote, Peru strong -22.8% − Leipzig, Germany strong -21.8% − Toluca, Mexico confused -22.6% − Sergiev Posad, Russia happy -17.8% − Kochi, India strong -24.8% − Kisumu, Kenya confused -19.7% − San Jose, United States confused -24.0% − Iseyin, Nigeria happy -22.8% − Bareilly, India confused -23.5% − Geelong, Australia confused -2.1% − Nhatrang, Vietnam happy -22.9% − Sefton, United Kingdom strong -5.2% − LISBON, Portugal strong -7.5% − Palakkad, India strong -17.6% − Gujrat, Pakistan strong -22.0% − MONROVIA, Liberia happy -23.4% − Batangas, Philippines strong -22.8% − Teignbridge, United Kingdom confused -20.2% − Chicago, United States strong -18.5% − Sukabumi, Indonesia happy -9.2% − NOUMEA, New Caledonia strong -18.8% − Aguascalientes, Mexico strong -17.6% − Quezon City, Philippines strong -4.0% − Tampa, United States confused -19.1% − Curitiba, Brazil strong -24.8% − Fukuyama, Japan strong -22.7% − Adana, Turkey confused -23.4% − Luohe, China happy -22.9% − Valencia, Venezuela confused -8.0% − Kitchener, Canada strong -15.2% − Sapucaia, Brazil strong -18.8% − Dourados, Brazil strong -1.2% − Serra, Brazil strong -5.4% − Braila, Romania strong -17.5% − Irving, United States strong -20.4% − Yingcheng, China happy -22.9% − Chiba, Japan strong -24.8% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Bridgeport, United States strong -18.9% − Muntinlupa, Philippines strong -19.8% − Floridablanca, Colombia strong -22.9% − Zaria, Nigeria confused -18.6% −
=
Shaown, China happy − Al-Rakka, Syrian Arab Republic happy − Debrezit, Ethiopia happy − Sao Joao de Meriti, Brazil happy − Xuchang, China happy − Chinhae, Korea, South happy − Rubtsovsk, Russia happy − Lipetsk, Russia strong − Sao José do Rio Prêto, Brazil happy − Evpatoriya, Ukraine happy − Durg, India weak − Moji-Guaçu, Brazil happy − Ferraz de Vasconcelos, Brazil happy − Colimas, Mexico happy − Shuangyashan, China happy − Reggio di Calabria, Italy happy − Taldikorgan, Kazakstan happy − Chongli, China weak − Jinin, China happy − Dayuan, China happy − Soyapango, El Salvador happy − Nasariya, Iraq happy − Korla, China strong − Syktivkar, Russia happy − Kadhimain, Iraq happy − Guangshui, China happy − Guikong, China happy − Juazeiro do Norte, Brazil happy − Pinxiang, China happy − Taian, China confused − Holon, Israel confused − Sidi-bel-Abbès, Algeria happy − Yuncheng, China weak − Shanwei, China confused − Nandyal, India happy − Meizhou, China strong − Salamanca, Mexico strong − Xiaocan, China happy − Kanhangad, India happy − Kashihara, Japan happy − Kurume, Japan guilty − San Fernando de Apure, Venezuela strong − Niiza, Japan happy − Sialkote, Pakistan happy − Kiselevsk, Russia happy − Calithèa, Greece happy − Huaiyin, China happy − Alagoinhas, Brazil strong − Sirjan, Iran happy − Angren, Uzbekistan confused − Deir El-Zor, Syrian Arab Republic happy − Jastrzebie - Zdrój, Poland confused − Artux, China happy − Basingstoke & Deane, United Kingdom happy − Bihar Sharif, India happy − Dlepmealow, South Africa happy − Taiyan, China happy − Mudangiang, China happy − Khouribga, Morocco sad − Pórto Velho, Brazil happy − Changweon, Korea, South happy − Novocherkassk, Russia happy
Select a group to display an individual emotion layer:
happy
excited
overjoyed
thrilled
exuberant
ecstatic
weak
helpless
hopeless
beat
overwhelmed
impotent
confused
bewildered
trapped
troubled
desperate
lost
afraid
terrified
horrified
scared stiff
petrified
fearful
guilty
sorrowful
remorseful
ashamed
unworthy
worthless
sad
depressed
disappointed
alone
hurt
left out
strong
powerful
aggressive
gung ho
potent
super
angry
furious
enraged
outraged
aggravated
irate