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
BRIDGETOWN, Barbados confused +23.8% − Phoenix, United States strong +11.7% − Diyarbakir, Turkey strong +22.7% − Grodno, Belarus sad +19.8% − Silay, Philippines happy +19.9% − Eastleigh, United Kingdom happy +19.0% − East Hampshire, United Kingdom confused +19.0% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Hachinohe, Japan strong +21.2% − Yao, Japan strong +22.0% − Caruaru, Brazil strong +18.6% − Lapu-Lapu, Philippines strong +24.6% − ROAD TOWN, British Virgin Islands confused +22.0% − Botou, China strong +24.2% − Mbeya, Tanzania confused +22.8% − TIRANA, Albania sad +18.7% − Chillán, Chile strong +21.7% − Engels, Russia strong +21.7% − Tacoma, United States confused +20.3% − Kure, Japan happy +17.9% − Remscheid, Germany strong +19.6% − San Cristóbal, Venezuela weak +18.5% − Tyumen, Russia strong +7.1% − Cardiff, United Kingdom strong +16.1% − Xichang, China confused +20.3% − Tameside, United Kingdom confused +19.1% − Pinar del Río, Cuba confused +18.6% − Anyang, China confused +1.0% − Pinar del Río, Cuba confused +18.6% − Smolensk, Russia happy +17.6% − Huntington Beach, United States strong +23.2% − Engels, Russia strong +21.7% − Pohang, Korea, South confused +21.8% − San Sebastián, Spain confused +24.0% − Anjo, Japan strong +2.2% − Erlangen, Germany confused +22.9% − Unnao, India weak +18.8% − Chungju, Korea, South sad +4.6% − Maiduguri, Nigeria confused +21.6% − Daxian, China sad +23.8% − Hamilton, Canada confused +21.0% − Vallejo, United States confused +21.9% − Ulan-Ude, Russia confused +2.6% − Waitakere, New Zealand confused +23.5% − Beaumont, United States confused +12.1% − La Spezia, Italy confused +22.0% − BISHKEK, Kyrgyzstan weak +8.9% − Jequié, Brazil strong +5.6% − Pegu, Myanmar confused +24.1% − Gaya, India strong +23.6% − Ubon Ratchathani, Thailand confused +23.5% − Chon Buri, Thailand strong +23.4% − Dunfermline, United Kingdom confused +6.9% − Xichang, China confused +20.3% − Burgos, Spain strong +19.8% − Gurgaon, India strong +14.2% − Laval, Canada strong +10.7% − Yokkaichi, Japan strong +19.6% − The Wrekin, United Kingdom happy +23.6% − Chungju, Korea, South sad +4.6% − Erbil, Iraq strong +20.1% − Botou, China strong +24.2% − Amiens, France confused +22.5% − Pocos de Caldas, Brazil strong +24.0% − Bobo Dioulasso, Burkina Faso angry +20.4% − Piracicaba, Brazil strong +20.7% − Kofu, Japan confused +20.9% − Baranovichi, Belarus strong +18.5% − Ichikawa, Japan strong +4.5% − Paraná, Argentina strong +12.3% − Fukuoka, Japan weak +13.4% − Shaoyang, China weak +21.8% − Abeokuta, Nigeria happy +19.5% − BASSE-TERRE, Guadeloupe strong +24.8% − Tanga, Tanzania confused +20.3% − Mönchengladbach, Germany happy +14.7% − Zonguldak, Turkey strong +22.9% − Jhang, Pakistan strong +23.9% − Monywa, Myanmar confused +22.1% − Boksburg, South Africa confused +18.1% − Várzea Grande, Brazil strong +21.5% − Tacoma, United States confused +20.3% − Abeokuta, Nigeria happy +19.5% − Yavatmal, India guilty +24.6% − Sikar, India confused +24.6% − Regensburg, Germany strong +16.0% − ST. GEORGES, Grenada strong +19.2% − Guilin, China strong +3.0% − Surakarta, Indonesia strong +20.9% − Mulhouse, France happy +21.4% − Tarragona, Spain strong +21.8% − Susano, Brazil strong +1.7% − Thai Nguyen, Vietnam sad +18.1% − Vallejo, United States confused +21.9% − Raniganj, India confused +23.2% − Arad, Romania strong +11.8% − Jhang, Pakistan strong +23.9% − Springfield, United States confused +5.1% − North York, Canada strong +20.2% − Loudi, China weak +17.8% − Sedgemoor, United Kingdom strong +19.3% −
Leipzig, Germany strong -21.8% − Petrópolis, Brazil strong -18.6% − Ingolstadt, Germany strong -14.9% − Chiba, Japan strong -24.8% − Chicago, United States strong -18.5% − Sefton, United Kingdom strong -5.2% − Tanjung Balai, Indonesia weak -4.9% − Teignbridge, United Kingdom confused -20.2% − Brescia, Italy strong -18.6% − Crewe & Nantwich, United Kingdom strong -17.6% − Iseyin, Nigeria happy -22.8% − Braila, Romania strong -17.5% − Adana, Turkey confused -23.4% − MONROVIA, Liberia happy -23.4% − Sapucaia, Brazil strong -18.8% − Aguascalientes, Mexico strong -17.6% − Valencia, Venezuela confused -8.0% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Gent, Belgium strong -4.2% − Kisumu, Kenya confused -19.7% − Irving, United States strong -20.4% − Jersey City, United States strong -23.2% − Alexandria, United States strong -11.9% − Kochi, India strong -24.8% − Quezon City, Philippines strong -4.0% − NOUMEA, New Caledonia strong -18.8% − Kitchener, Canada strong -15.2% − Jiamusi, China strong -18.6% − Anand, India strong -3.1% − Gujrat, Pakistan strong -22.0% − South Cambridgeshire, United Kingdom strong -17.7% − Zaria, Nigeria confused -18.6% − Geelong, Australia confused -2.1% − Chimbote, Peru strong -22.8% − Batangas, Philippines strong -22.8% − Mojokerto, Indonesia strong -13.8% − Sergiev Posad, Russia happy -17.8% − Dourados, Brazil strong -1.2% − Luohe, China happy -22.9% − Cochabamba, Bolivia strong -23.2% − Jinan, China strong -8.9% − Birmingham, United States confused -22.6% − Curitiba, Brazil strong -24.8% − Kotte, Sri Lanka confused -1.5% − Palakkad, India strong -17.6% − Durango, Mexico strong -25.0% − Magdeburg, Germany strong -23.7% − Bareilly, India confused -23.5% − LISBON, Portugal strong -7.5% − San Jose, United States confused -24.0% − Floridablanca, Colombia strong -22.9% − Hampton, United States strong -12.1% − Fukuyama, Japan strong -22.7% − Peshawar, Pakistan strong -24.4% − Richmond, United States confused -21.8% − San Pablo, Philippines strong -18.3% − Nhatrang, Vietnam happy -22.9% − Richmond, United States confused -21.8% − Bridgeport, United States strong -18.9% − Toluca, Mexico confused -22.6% − Amagasaki, Japan happy -24.2% − Kawachinagano, Japan happy -22.9% − Serra, Brazil strong -5.4% − Manchester, United Kingdom strong -9.2% − Darlington, United Kingdom strong -24.3% − Rouen, France strong -6.3% − Tampa, United States confused -19.1% − Halifax, Canada strong -19.1% − Yingcheng, China happy -22.9% − Sukabumi, Indonesia happy -9.2% − Muntinlupa, Philippines strong -19.8% − Queimados, Brazil strong -20.4% −
=
Al-Rakka, Syrian Arab Republic happy − Guikong, China happy − Novocherkassk, Russia happy − Colimas, Mexico happy − Shanwei, China confused − Changweon, Korea, South happy − Korla, China strong − Sirjan, Iran happy − Khouribga, Morocco sad − Xuchang, China happy − Debrezit, Ethiopia happy − Salamanca, Mexico strong − Niiza, Japan happy − Nandyal, India happy − Syktivkar, Russia happy − Taian, China confused − Kurume, Japan guilty − Sao Joao de Meriti, Brazil happy − Huaiyin, China happy − Kashihara, Japan happy − Artux, China happy − Rubtsovsk, Russia happy − Mudangiang, China happy − Jinin, China happy − Bihar Sharif, India happy − Moji-Guaçu, Brazil happy − Dayuan, China happy − Sialkote, Pakistan happy − Angren, Uzbekistan confused − Holon, Israel confused − Kiselevsk, Russia happy − San Fernando de Apure, Venezuela strong − Kanhangad, India happy − Calithèa, Greece happy − Chinhae, Korea, South happy − Taiyan, China happy − Shuangyashan, China happy − Pórto Velho, Brazil happy − Alagoinhas, Brazil strong − Yuncheng, China weak − Kadhimain, Iraq happy − Evpatoriya, Ukraine happy − Deir El-Zor, Syrian Arab Republic happy − Jastrzebie - Zdrój, Poland confused − Sao José do Rio Prêto, Brazil happy − Taldikorgan, Kazakstan happy − Durg, India weak − Basingstoke & Deane, United Kingdom happy − Juazeiro do Norte, Brazil happy − Shaown, China happy − Soyapango, El Salvador happy − Chongli, China weak − Ferraz de Vasconcelos, Brazil happy − Reggio di Calabria, Italy happy − Meizhou, China strong − Guangshui, China happy − Dlepmealow, South Africa happy − Sidi-bel-Abbès, Algeria happy − Pinxiang, China happy − Xiaocan, China happy − Lipetsk, Russia strong − 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