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
Laval, Canada strong +10.7% − Tegal, Indonesia confused +4.6% − Erbil, Iraq strong +20.1% − Engels, Russia strong +21.7% − Xichang, China confused +20.3% − Gurgaon, India strong +14.2% − Arad, Romania strong +11.8% − Yavatmal, India guilty +24.6% − Ubon Ratchathani, Thailand confused +23.5% − Vallejo, United States confused +21.9% − Botou, China strong +24.2% − Pohang, Korea, South confused +21.8% − San Sebastián, Spain confused +24.0% − Diyarbakir, Turkey strong +22.7% − Guarapuava, Brazil strong +18.9% − Jequié, Brazil strong +5.6% − Pegu, Myanmar confused +24.1% − Surakarta, Indonesia strong +20.9% − Raniganj, India confused +23.2% − Ubon Ratchathani, Thailand confused +23.5% − Kofu, Japan confused +20.9% − Abeokuta, Nigeria happy +19.5% − Baranovichi, Belarus strong +18.5% − Sikar, India confused +24.6% − Warren, United States strong +22.1% − Jhang, Pakistan strong +23.9% − Beaumont, United States confused +12.1% − Mbeya, Tanzania confused +22.8% − Ulan-Ude, Russia confused +2.6% − TIRANA, Albania sad +18.7% − Boksburg, South Africa confused +18.1% − Cangzhou, China confused +17.7% − Lapu-Lapu, Philippines strong +24.6% − Erlangen, Germany confused +22.9% − Engels, Russia strong +21.7% − Chungju, Korea, South sad +4.6% − Pocos de Caldas, Brazil strong +24.0% − Lubumbashi, Congo, Democratic Republic of the sad +19.0% − Unnao, India weak +18.8% − Vallejo, United States confused +21.9% − Mulhouse, France happy +21.4% − Oberhausen, Germany weak +19.1% − Regensburg, Germany strong +16.0% − Burgos, Spain strong +19.8% − Tyumen, Russia strong +7.1% − Tanga, Tanzania confused +20.3% − BISHKEK, Kyrgyzstan weak +8.9% − Loudi, China weak +17.8% − BASSE-TERRE, Guadeloupe strong +24.8% − Silay, Philippines happy +19.9% − BRIDGETOWN, Barbados confused +23.8% − Gurgaon, India strong +14.2% − Yokkaichi, Japan strong +19.6% − PANAMA, Panama strong +3.1% − Rangpur, Bangladesh happy +24.3% − Zonguldak, Turkey strong +22.9% − Amiens, France confused +22.5% − Abeokuta, Nigeria happy +19.5% − Ambala, India happy +21.8% − Pinar del Río, Cuba confused +18.6% − Hachinohe, Japan strong +21.2% − Maiduguri, Nigeria confused +21.6% − Daxian, China sad +23.8% − Tacoma, United States confused +20.3% − Várzea Grande, Brazil strong +21.5% − Malabon, Philippines happy +23.0% − Xichang, China confused +20.3% − Gaya, India strong +23.6% − Smolensk, Russia happy +17.6% − The Wrekin, United Kingdom happy +23.6% − East Hampshire, United Kingdom confused +19.0% − Oberhausen, Germany weak +19.1% − Yao, Japan strong +22.0% − Tacoma, United States confused +20.3% − Hamilton, Canada confused +21.0% − Anyang, China confused +1.0% − Eastleigh, United Kingdom happy +19.0% − Anjo, Japan strong +2.2% − Remscheid, Germany strong +19.6% − Monywa, Myanmar confused +22.1% − Huntington Beach, United States strong +23.2% − Waverley, United Kingdom weak +24.4% − The Wrekin, United Kingdom happy +23.6% − Ulsan, Korea, South confused +24.5% − Vadakara, India sad +6.6% − Zonguldak, Turkey strong +22.9% − Chillán, Chile strong +21.7% − Waitakere, New Zealand confused +23.5% − Guilin, China strong +3.0% − Lisburn, United Kingdom strong +19.9% − Tarragona, Spain strong +21.8% − Ichikawa, Japan strong +4.5% − Phoenix, United States strong +11.7% − Susano, Brazil strong +1.7% − Chon Buri, Thailand strong +23.4% − LA HABANA, Cuba strong +18.2% − Fukuoka, Japan weak +13.4% − Jhang, Pakistan strong +23.9% − Paraná, Argentina strong +12.3% − Bobo Dioulasso, Burkina Faso angry +20.4% − Grodno, Belarus sad +19.8% −
Batangas, Philippines strong -22.8% − San Jose, United States confused -24.0% − Valencia, Venezuela confused -8.0% − Kisumu, Kenya confused -19.7% − LISBON, Portugal strong -7.5% − Fukuyama, Japan strong -22.7% − Irving, United States strong -20.4% − Jinan, China strong -8.9% − Darlington, United Kingdom strong -24.3% − Jersey City, United States strong -23.2% − Alexandria, United States strong -11.9% − Gujrat, Pakistan strong -22.0% − South Cambridgeshire, United Kingdom strong -17.7% − Peshawar, Pakistan strong -24.4% − Santiago de los Caballeros, Dominican Republic confused -18.9% − Brescia, Italy strong -18.6% − Birmingham, United States confused -22.6% − Iseyin, Nigeria happy -22.8% − Queimados, Brazil strong -20.4% − Anand, India strong -3.1% − Sukabumi, Indonesia happy -9.2% − Kawachinagano, Japan happy -22.9% − Braila, Romania strong -17.5% − Tanjung Balai, Indonesia weak -4.9% − Kitchener, Canada strong -15.2% − Zaria, Nigeria confused -18.6% − Serra, Brazil strong -5.4% − Yingcheng, China happy -22.9% − Bareilly, India confused -23.5% − Halifax, Canada strong -19.1% − Richmond, United States confused -21.8% − Chicago, United States strong -18.5% − Manchester, United Kingdom strong -9.2% − MONROVIA, Liberia happy -23.4% − Durango, Mexico strong -25.0% − Nhatrang, Vietnam happy -22.9% − NOUMEA, New Caledonia strong -18.8% − Teignbridge, United Kingdom confused -20.2% − Petrópolis, Brazil strong -18.6% − Quezon City, Philippines strong -4.0% − Palakkad, India strong -17.6% − Aguascalientes, Mexico strong -17.6% − Sefton, United Kingdom strong -5.2% − Chiba, Japan strong -24.8% − Ingolstadt, Germany strong -14.9% − Cochabamba, Bolivia strong -23.2% − Amagasaki, Japan happy -24.2% − San Pablo, Philippines strong -18.3% − Hampton, United States strong -12.1% − Toluca, Mexico confused -22.6% − Tampa, United States confused -19.1% − Floridablanca, Colombia strong -22.9% − Dourados, Brazil strong -1.2% − Crewe & Nantwich, United Kingdom strong -17.6% − Geelong, Australia confused -2.1% − Gent, Belgium strong -4.2% − Sapucaia, Brazil strong -18.8% − Chimbote, Peru strong -22.8% − Curitiba, Brazil strong -24.8% − Sergiev Posad, Russia happy -17.8% − Mojokerto, Indonesia strong -13.8% − Kotte, Sri Lanka confused -1.5% − Rouen, France strong -6.3% − Jiamusi, China strong -18.6% − Richmond, United States confused -21.8% − Magdeburg, Germany strong -23.7% − Bridgeport, United States strong -18.9% − Adana, Turkey confused -23.4% − Kochi, India strong -24.8% − Luohe, China happy -22.9% − Leipzig, Germany strong -21.8% − Muntinlupa, Philippines strong -19.8% −
=
Reggio di Calabria, Italy happy − Bihar Sharif, India happy − Angren, Uzbekistan confused − Alagoinhas, Brazil strong − Debrezit, Ethiopia happy − Korla, China strong − Salamanca, Mexico strong − Dlepmealow, South Africa happy − Chinhae, Korea, South happy − Dayuan, China happy − Lipetsk, Russia strong − Changweon, Korea, South happy − Yuncheng, China weak − Chongli, China weak − Al-Rakka, Syrian Arab Republic happy − Novocherkassk, Russia happy − Pórto Velho, Brazil happy − Kashihara, Japan happy − Nasariya, Iraq happy − Evpatoriya, Ukraine happy − Shuangyashan, China happy − Syktivkar, Russia happy − Pinxiang, China happy − Sao José do Rio Prêto, Brazil happy − Guangshui, China happy − Basingstoke & Deane, United Kingdom happy − Sialkote, Pakistan happy − Rubtsovsk, Russia happy − Jinin, China happy − Moji-Guaçu, Brazil happy − Sidi-bel-Abbès, Algeria happy − Xuchang, China happy − Kadhimain, Iraq happy − Kanhangad, India happy − Ferraz de Vasconcelos, Brazil happy − Soyapango, El Salvador happy − Shaown, China happy − Khouribga, Morocco sad − Kurume, Japan guilty − Taldikorgan, Kazakstan happy − Durg, India weak − Kiselevsk, Russia happy − Guikong, China happy − Taiyan, China happy − Xiaocan, China happy − Niiza, Japan happy − Mudangiang, China happy − Meizhou, China strong − Artux, China happy − Jastrzebie - Zdrój, Poland confused − Deir El-Zor, Syrian Arab Republic happy − Calithèa, Greece happy − Holon, Israel confused − Taian, China confused − San Fernando de Apure, Venezuela strong − Nandyal, India happy − Colimas, Mexico happy − Sirjan, Iran happy − Sao Joao de Meriti, Brazil happy − Shanwei, China confused − Huaiyin, China happy − Juazeiro do Norte, Brazil 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