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
The Wrekin, United Kingdom happy +23.6% − Chungju, Korea, South sad +4.6% − Jhang, Pakistan strong +23.9% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − La Spezia, Italy confused +22.0% − Bobo Dioulasso, Burkina Faso angry +20.4% − Laval, Canada strong +10.7% − Tarragona, Spain strong +21.8% − Susano, Brazil strong +1.7% − Giza, Egypt confused +23.8% − Vadakara, India sad +6.6% − Daxian, China sad +23.8% − Jequié, Brazil strong +5.6% − Raniganj, India confused +23.2% − Loudi, China weak +17.8% − Anjo, Japan strong +2.2% − Mulhouse, France happy +21.4% − Unnao, India weak +18.8% − Beaumont, United States confused +12.1% − Erlangen, Germany confused +22.9% − Zonguldak, Turkey strong +22.9% − Warren, United States strong +22.1% − Diyarbakir, Turkey strong +22.7% − Silay, Philippines happy +19.9% − Maiduguri, Nigeria confused +21.6% − Paraná, Argentina strong +12.3% − Pohang, Korea, South confused +21.8% − Lisburn, United Kingdom strong +19.9% − Vallejo, United States confused +21.9% − Tegal, Indonesia confused +4.6% − Vallejo, United States confused +21.9% − Jamalpur, Bangladesh confused +17.7% − Chon Buri, Thailand strong +23.4% − TIRANA, Albania sad +18.7% − Regensburg, Germany strong +16.0% − Monywa, Myanmar confused +22.1% − Fukuoka, Japan weak +13.4% − Tacoma, United States confused +20.3% − Oberhausen, Germany weak +19.1% − Sikar, India confused +24.6% − Ambala, India happy +21.8% − BISHKEK, Kyrgyzstan weak +8.9% − Waverley, United Kingdom weak +24.4% − ST. GEORGES, Grenada strong +19.2% − Chungju, Korea, South sad +4.6% − BASSE-TERRE, Guadeloupe strong +24.8% − The Wrekin, United Kingdom happy +23.6% − Sedgemoor, United Kingdom strong +19.3% − Remscheid, Germany strong +19.6% − Hamilton, Canada confused +21.0% − Ubon Ratchathani, Thailand confused +23.5% − Waitakere, New Zealand confused +23.5% − Hachinohe, Japan strong +21.2% − Abeokuta, Nigeria happy +19.5% − Engels, Russia strong +21.7% − Tangshan, China weak +22.3% − Tanga, Tanzania confused +20.3% − Guarapuava, Brazil strong +18.9% − Cardiff, United Kingdom strong +16.1% − Pocos de Caldas, Brazil strong +24.0% − Nizhnekamsk, Russia confused +21.0% − Kharagpur, India strong +17.6% − Eastleigh, United Kingdom happy +19.0% − Erbil, Iraq strong +20.1% − Ichikawa, Japan strong +4.5% − Tameside, United Kingdom confused +19.1% − Mbeya, Tanzania confused +22.8% − Baranovichi, Belarus strong +18.5% − Engels, Russia strong +21.7% − Smolensk, Russia happy +17.6% − Botou, China strong +24.2% − Gaya, India strong +23.6% − Tyumen, Russia strong +7.1% − Dunfermline, United Kingdom confused +6.9% − Springfield, United States confused +5.1% − Caruaru, Brazil strong +18.6% − Gurgaon, India strong +14.2% − Remscheid, Germany strong +19.6% − Ulsan, Korea, South confused +24.5% − Amiens, France confused +22.5% − Surakarta, Indonesia strong +20.9% − Yavatmal, India guilty +24.6% − Yao, Japan strong +22.0% − Guilin, China strong +3.0% − Rangpur, Bangladesh happy +24.3% − San Cristóbal, Venezuela weak +18.5% − Abeokuta, Nigeria happy +19.5% − Fresno, United States strong +21.7% − Pinar del Río, Cuba confused +18.6% − Phoenix, United States strong +11.7% − Anyang, China confused +1.0% − Ulan-Ude, Russia confused +2.6% − Pegu, Myanmar confused +24.1% − Chillán, Chile strong +21.7% − Xichang, China confused +20.3% − PANAMA, Panama strong +3.1% − Xichang, China confused +20.3% − Yokkaichi, Japan strong +19.6% − ROAD TOWN, British Virgin Islands confused +22.0% − Shaoyang, China weak +21.8% − San Sebastián, Spain confused +24.0% −
Cochabamba, Bolivia strong -23.2% − South Cambridgeshire, United Kingdom strong -17.7% − Kitchener, Canada strong -15.2% − Iseyin, Nigeria happy -22.8% − Kotte, Sri Lanka confused -1.5% − Brescia, Italy strong -18.6% − Peshawar, Pakistan strong -24.4% − Jinan, China strong -8.9% − San Pablo, Philippines strong -18.3% − LISBON, Portugal strong -7.5% − Muntinlupa, Philippines strong -19.8% − Darlington, United Kingdom strong -24.3% − Dourados, Brazil strong -1.2% − Amagasaki, Japan happy -24.2% − Bridgeport, United States strong -18.9% − Sefton, United Kingdom strong -5.2% − Toluca, Mexico confused -22.6% − Tampa, United States confused -19.1% − Halifax, Canada strong -19.1% − Durango, Mexico strong -25.0% − Kisumu, Kenya confused -19.7% − Kawachinagano, Japan happy -22.9% − Sukabumi, Indonesia happy -9.2% − Alexandria, United States strong -11.9% − Anand, India strong -3.1% − Birmingham, United States confused -22.6% − Crewe & Nantwich, United Kingdom strong -17.6% − MONROVIA, Liberia happy -23.4% − Richmond, United States confused -21.8% − Braila, Romania strong -17.5% − Floridablanca, Colombia strong -22.9% − Hampton, United States strong -12.1% − Ingolstadt, Germany strong -14.9% − Valencia, Venezuela confused -8.0% − Manchester, United Kingdom strong -9.2% − NOUMEA, New Caledonia strong -18.8% − Petrópolis, Brazil strong -18.6% − Yingcheng, China happy -22.9% − Mojokerto, Indonesia strong -13.8% − San Jose, United States confused -24.0% − Batangas, Philippines strong -22.8% − Leipzig, Germany strong -21.8% − Serra, Brazil strong -5.4% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Magdeburg, Germany strong -23.7% − Aguascalientes, Mexico strong -17.6% − Sapucaia, Brazil strong -18.8% − Tanjung Balai, Indonesia weak -4.9% − Curitiba, Brazil strong -24.8% − Jiamusi, China strong -18.6% − Palakkad, India strong -17.6% − Adana, Turkey confused -23.4% − Sergiev Posad, Russia happy -17.8% − Fukuyama, Japan strong -22.7% − Irving, United States strong -20.4% − Jersey City, United States strong -23.2% − Chiba, Japan strong -24.8% − Geelong, Australia confused -2.1% − Gent, Belgium strong -4.2% − Nhatrang, Vietnam happy -22.9% − Luohe, China happy -22.9% − Chicago, United States strong -18.5% − Bareilly, India confused -23.5% − Queimados, Brazil strong -20.4% − Kochi, India strong -24.8% − Chimbote, Peru strong -22.8% − Quezon City, Philippines strong -4.0% − Teignbridge, United Kingdom confused -20.2% − Gujrat, Pakistan strong -22.0% − Rouen, France strong -6.3% − Zaria, Nigeria confused -18.6% − Richmond, United States confused -21.8% −
=
Niiza, Japan happy − Kadhimain, Iraq happy − Mudangiang, China happy − Evpatoriya, Ukraine happy − Chongli, China weak − Ferraz de Vasconcelos, Brazil happy − Pinxiang, China happy − Xuchang, China happy − Artux, China happy − Moji-Guaçu, Brazil happy − Sidi-bel-Abbès, Algeria happy − Novocherkassk, Russia happy − Calithèa, Greece happy − Alagoinhas, Brazil strong − Deir El-Zor, Syrian Arab Republic happy − Guikong, China happy − Kiselevsk, Russia happy − Nandyal, India happy − Holon, Israel confused − Shaown, China happy − Angren, Uzbekistan confused − Kanhangad, India happy − Chinhae, Korea, South happy − Jastrzebie - Zdrój, Poland confused − Guangshui, China happy − Meizhou, China strong − Sialkote, Pakistan happy − Basingstoke & Deane, United Kingdom happy − Sao Joao de Meriti, Brazil happy − Lipetsk, Russia strong − Changweon, Korea, South happy − Dlepmealow, South Africa happy − Taiyan, China happy − Bihar Sharif, India happy − Korla, China strong − Huaiyin, China happy − Debrezit, Ethiopia happy − Al-Rakka, Syrian Arab Republic happy − Pórto Velho, Brazil happy − Salamanca, Mexico strong − Yuncheng, China weak − Sirjan, Iran happy − Soyapango, El Salvador happy − Sao José do Rio Prêto, Brazil happy − Dayuan, China happy − Durg, India weak − Juazeiro do Norte, Brazil happy − San Fernando de Apure, Venezuela strong − Reggio di Calabria, Italy happy − Syktivkar, Russia happy − Taldikorgan, Kazakstan happy − Taian, China confused − Xiaocan, China happy − Kurume, Japan guilty − Kashihara, Japan happy − Colimas, Mexico happy − Jinin, China happy − Shanwei, China confused − Rubtsovsk, Russia happy − Shuangyashan, China happy − Khouribga, Morocco sad − Nasariya, Iraq 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