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
Vadakara, India sad +6.6% − Oberhausen, Germany weak +19.1% − Thai Nguyen, Vietnam sad +18.1% − Ndola, Zambia happy +17.9% − Ubon Ratchathani, Thailand confused +23.5% − Burgos, Spain strong +19.8% − Amiens, France confused +22.5% − Chillán, Chile strong +21.7% − San Cristóbal, Venezuela weak +18.5% − Guilin, China strong +3.0% − Eastleigh, United Kingdom happy +19.0% − Gaya, India strong +23.6% − Tacoma, United States confused +20.3% − Loudi, China weak +17.8% − Abeokuta, Nigeria happy +19.5% − Medellín, Colombia strong +21.8% − Regensburg, Germany strong +16.0% − Warren, United States strong +22.1% − Kure, Japan happy +17.9% − Waverley, United Kingdom weak +24.4% − Huntington Beach, United States strong +23.2% − Tyumen, Russia strong +7.1% − Hachinohe, Japan strong +21.2% − ST. GEORGES, Grenada strong +19.2% − Erlangen, Germany confused +22.9% − Sedgemoor, United Kingdom strong +19.3% − Monywa, Myanmar confused +22.1% − Tangshan, China weak +22.3% − Tanga, Tanzania confused +20.3% − Piracicaba, Brazil strong +20.7% − Erbil, Iraq strong +20.1% − Anyang, China confused +1.0% − Tegal, Indonesia confused +4.6% − Hamilton, Canada confused +21.0% − Lapu-Lapu, Philippines strong +24.6% − Botou, China strong +24.2% − Boksburg, South Africa confused +18.1% − TIRANA, Albania sad +18.7% − Shaoyang, China weak +21.8% − Raniganj, India confused +23.2% − La Spezia, Italy confused +22.0% − Chungju, Korea, South sad +4.6% − Unnao, India weak +18.8% − Chungju, Korea, South sad +4.6% − Engels, Russia strong +21.7% − Arad, Romania strong +11.8% − Guarapuava, Brazil strong +18.9% − Mönchengladbach, Germany happy +14.7% − Várzea Grande, Brazil strong +21.5% − Tacoma, United States confused +20.3% − BASSE-TERRE, Guadeloupe strong +24.8% − Paraná, Argentina strong +12.3% − Abeokuta, Nigeria happy +19.5% − Gurgaon, India strong +14.2% − Pinar del Río, Cuba confused +18.6% − Chon Buri, Thailand strong +23.4% − LA HABANA, Cuba strong +18.2% − Anjo, Japan strong +2.2% − Giza, Egypt confused +23.8% − Xichang, China confused +20.3% − Malabon, Philippines happy +23.0% − Yavatmal, India guilty +24.6% − Jhang, Pakistan strong +23.9% − Jequié, Brazil strong +5.6% − Springfield, United States confused +5.1% − BISHKEK, Kyrgyzstan weak +8.9% − Dunfermline, United Kingdom confused +6.9% − Laval, Canada strong +10.7% − Susano, Brazil strong +1.7% − Waitakere, New Zealand confused +23.5% − Bobo Dioulasso, Burkina Faso angry +20.4% − Gurgaon, India strong +14.2% − Jamalpur, Bangladesh confused +17.7% − Fukuoka, Japan weak +13.4% − Engels, Russia strong +21.7% − Sikar, India confused +24.6% − Oberhausen, Germany weak +19.1% − Beaumont, United States confused +12.1% − Mbeya, Tanzania confused +22.8% − Kharagpur, India strong +17.6% − Tarragona, Spain strong +21.8% − Ichikawa, Japan strong +4.5% − Smolensk, Russia happy +17.6% − North York, Canada strong +20.2% − Fresno, United States strong +21.7% − San Sebastián, Spain confused +24.0% − Yokkaichi, Japan strong +19.6% − ROAD TOWN, British Virgin Islands confused +22.0% − Vallejo, United States confused +21.9% − BRIDGETOWN, Barbados confused +23.8% − Mulhouse, France happy +21.4% − Diyarbakir, Turkey strong +22.7% − Ambala, India happy +21.8% − Pocos de Caldas, Brazil strong +24.0% − Xichang, China confused +20.3% − Kofu, Japan confused +20.9% − Tameside, United Kingdom confused +19.1% − Ubon Ratchathani, Thailand confused +23.5% − Rangpur, Bangladesh happy +24.3% − Remscheid, Germany strong +19.6% − Surakarta, Indonesia strong +20.9% −
Valencia, Venezuela confused -8.0% − Richmond, United States confused -21.8% − Anand, India strong -3.1% − Kochi, India strong -24.8% − Batangas, Philippines strong -22.8% − Muntinlupa, Philippines strong -19.8% − Irving, United States strong -20.4% − Sapucaia, Brazil strong -18.8% − Sefton, United Kingdom strong -5.2% − Jiamusi, China strong -18.6% − Kisumu, Kenya confused -19.7% − Serra, Brazil strong -5.4% − Durango, Mexico strong -25.0% − Brescia, Italy strong -18.6% − Adana, Turkey confused -23.4% − Quezon City, Philippines strong -4.0% − Birmingham, United States confused -22.6% − Braila, Romania strong -17.5% − Sukabumi, Indonesia happy -9.2% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Chiba, Japan strong -24.8% − Dourados, Brazil strong -1.2% − Kitchener, Canada strong -15.2% − Queimados, Brazil strong -20.4% − Ingolstadt, Germany strong -14.9% − Floridablanca, Colombia strong -22.9% − San Jose, United States confused -24.0% − Iseyin, Nigeria happy -22.8% − Sergiev Posad, Russia happy -17.8% − Manchester, United Kingdom strong -9.2% − Toluca, Mexico confused -22.6% − Yingcheng, China happy -22.9% − MONROVIA, Liberia happy -23.4% − Palakkad, India strong -17.6% − Jersey City, United States strong -23.2% − Fukuyama, Japan strong -22.7% − NOUMEA, New Caledonia strong -18.8% − Peshawar, Pakistan strong -24.4% − Tampa, United States confused -19.1% − Cochabamba, Bolivia strong -23.2% − Tanjung Balai, Indonesia weak -4.9% − Mojokerto, Indonesia strong -13.8% − Teignbridge, United Kingdom confused -20.2% − Richmond, United States confused -21.8% − Alexandria, United States strong -11.9% − Gujrat, Pakistan strong -22.0% − Rouen, France strong -6.3% − Geelong, Australia confused -2.1% − Leipzig, Germany strong -21.8% − Zaria, Nigeria confused -18.6% − Aguascalientes, Mexico strong -17.6% − Luohe, China happy -22.9% − Jinan, China strong -8.9% − Bridgeport, United States strong -18.9% − Kotte, Sri Lanka confused -1.5% − Magdeburg, Germany strong -23.7% − LISBON, Portugal strong -7.5% − Hampton, United States strong -12.1% − Curitiba, Brazil strong -24.8% − Chimbote, Peru strong -22.8% − Kawachinagano, Japan happy -22.9% − South Cambridgeshire, United Kingdom strong -17.7% − Darlington, United Kingdom strong -24.3% − Nhatrang, Vietnam happy -22.9% − Gent, Belgium strong -4.2% − Bareilly, India confused -23.5% − Halifax, Canada strong -19.1% − Crewe & Nantwich, United Kingdom strong -17.6% − Amagasaki, Japan happy -24.2% − Chicago, United States strong -18.5% − San Pablo, Philippines strong -18.3% − Petrópolis, Brazil strong -18.6% −
=
Changweon, Korea, South happy − Pinxiang, China happy − Colimas, Mexico happy − Taian, China confused − Deir El-Zor, Syrian Arab Republic happy − Xuchang, China happy − Meizhou, China strong − Huaiyin, China happy − Jastrzebie - Zdrój, Poland confused − Dayuan, China happy − Debrezit, Ethiopia happy − Shaown, China happy − Mudangiang, China happy − Basingstoke & Deane, United Kingdom happy − Guikong, China happy − Calithèa, Greece happy − Taiyan, China happy − Salamanca, Mexico strong − San Fernando de Apure, Venezuela strong − Korla, China strong − Ferraz de Vasconcelos, Brazil happy − Reggio di Calabria, Italy happy − Khouribga, Morocco sad − Kashihara, Japan happy − Kurume, Japan guilty − Dlepmealow, South Africa happy − Shuangyashan, China happy − Nandyal, India happy − Angren, Uzbekistan confused − Novocherkassk, Russia happy − Kiselevsk, Russia happy − Chongli, China weak − Artux, China happy − Kadhimain, Iraq happy − Juazeiro do Norte, Brazil happy − Evpatoriya, Ukraine happy − Syktivkar, Russia happy − Shanwei, China confused − Yuncheng, China weak − Xiaocan, China happy − Chinhae, Korea, South happy − Sao José do Rio Prêto, Brazil happy − Moji-Guaçu, Brazil happy − Holon, Israel confused − Rubtsovsk, Russia happy − Jinin, China happy − Alagoinhas, Brazil strong − Lipetsk, Russia strong − Niiza, Japan happy − Taldikorgan, Kazakstan happy − Sirjan, Iran happy − Guangshui, China happy − Soyapango, El Salvador happy − Sialkote, Pakistan happy − Sidi-bel-Abbès, Algeria happy − Sao Joao de Meriti, Brazil happy − Bihar Sharif, India happy − Kanhangad, India happy − Al-Rakka, Syrian Arab Republic happy − Pórto Velho, Brazil happy − Nasariya, Iraq happy − Durg, India weak
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