What is the self-isolation index?

Higher value of self-isolation level, the better

Self-isolation is one of main measures in fight against coronavirus epidemic. To represent how well people cope with this task, we came up with a score that shows level of self-isolation in different cities. To do this, we compare level of urban activity now and on a normal day before epidemic. If it is the same as in rush hour of a normal weekday, then level of self-isolation is low, 0 points, and this is bad. If city is quiet as at night — this is 5 points. The higher score, the harder it is for virus to spread.
self-isolation index is updated daily and calculated based on data from Yandex services.
0-2.9 points there are very many people on street
3-3.9 points there are many people on street
4-5 points the street is almost empty
Self-isolation index is an integrated indicator based on data on use of various Yandex applications and services. It can be used for informational purposes for an approximate assessment of the situation, but not for accurate calculations. Index calculation method.

Map of average self-isolation index

How to observe self-isolation regime in different cities

Moscow 3.4
Kazan 2.3
Omsk 3.0
Samara 2.6
Ufa 2.6
Voronezh 2.8
Volgograd 2.7
Perm 2.8
Krasnodar 2.9
Saratov 2.8
Tyumen 2.8
Togliatti 2.6
Izhevsk 2.5
Barnaul 2.9
Ulyanovsk 2.6
Yaroslavl 3.0
Irkutsk 2.4
Tomsk 3.0
Orenburg 2.5
Kemerovo 2.7
Ryazan 2.7
Astrahan 3.0
Penza 2.4
Lipetsk 2.6
Kirov 2.5
Tula 2.7
Balashiha 3.5
Kursk 2.9
Stavropol 3.0
Sochi 2.7
Tver 2.8
Ivanovo 2.8
Bryansk 3.1
Ulan-Ude 2.9
Belgorod 2.5
Surgut 2.8
Vladimir 2.7
Chita 2.7
Kaluga 3.1
Smolensk 2.7
Volzhskiy 2.6
Saransk 2.8
Kurgan 2.5
Orel 3.0
Vologda 3.1
Yakutsk 2.9
Podolsk 3.4
Grozniy 3.5
Murmansk 3.4
Tambov 2.6
Kostroma 2.9
Taganrog 3.2
Himki 3.3
Bratsk 2.7
Syktyvkar 2.9
Angarsk 2.6
Nalchik 2.7
Shakhty 3.0
Orsk 2.8
Engels 2.6
Korolev 3.6
Mytischi 3.2
Pskov 2.8
Biysk 3.0
Lubercy 3.4
Armavir 2.7
Balakovo 2.9
Rybinsk 3.0
Abakan 2.2
Norilsk 3.4
Sizran 2.7
Ussuriysk 2.4
Zlatoust 2.6
Berezniki 2.8
Salavat 2.8
Miass 2.4
Kerch 3.4
Nahodka 2.8
Kopeysk 2.5
Kolpino 3.2
Rubtsovsk 3.2
Kolomna 3.0
Maykop 3.0
Khasavurt 3.7
Odincovo 3.4
Kovrov 3.0
Tobolsk 3.0
Serpuhov 3.2
Shelkovo 3.3
Derbent 3.5
Cherkessk 2.8
Nazran 2.8
Murom 2.8
Kyzyl 2.1
Kaspiysk 3.7
Ramenskoe 3.2
Obninsk 2.7
Bataysk 3.2
Kamishin 2.9
Noyabrsk 3.4
Pushkin 2.8
Essentuky 3.0
Seversk 3.6
Evpatoria 3.2
Artem 2.4
Pushkino 3.0
Achinsk 2.7
Yelets 2.9
Arzamas 2.6
Reutov 3.1
Berdsk 3.0
Elista 3.1
Noginsk 2.8
Votkinsk 2.7
Serov 2.8
Sarapul 2.5
Uhta 3.3
Solikamsk 2.9
Sarov 3.3
Gatchina 2.7
Glazov 3.0
Magadan 2.9
Kiselevsk 3.0
Kansk 2.3
Lobnja 3.6
Gubkin 3.2
Buzuluk 2.7
Bugulma 2.7
Yesk 3.3
Kineshma 2.8
Peterhof 3.2
Azov 3.1
Kuznetsk 2.4
Urga 3.2
Troitsk 2.6
Yalta 3.4
Klin 2.9
Ozersk 3.1
Kropotkin 2.8
Bor 2.3
Vyborg 2.6
Gelendgik 2.9
Balashev 2.9
Anapa 2.8
Shadrinsk 2.5
Dubna 3.2
Elabuga 2.7
Egorievsk 2.8
Chapaevsk 2.8
Vsevolgsk 3.0
Belovo 2.6
Tuymazy 2.6
Dmitrov 3.0
Minusinsk 2.6
Feodosia 3.3
Kstovo 2.2
Kungur 2.5
Gukovo 3.4
Stupino 2.7
Belogorsk 2.5
Vidnoe 3.0
Beloretsk 2.3
Ishim 2.8
Zarechny 3.2
Ishimbay 2.7
Buynaksk 3.5
Asbest 2.7
Donskoy 3.0
Volsk 3.0
Klintsy 3.0
Rossosh 2.9
Revda 2.5
Tuapse 3.2
Polevskoj 2.7
Kotlas 2.5
Lysva 2.9
Sibay 2.8
Troitsk 3.1
Chehov 3.0
Fryazino 3.3
Chistopol 2.5
Labinsk 3.0
Kumertau 3.0
Kogalym 3.2
Rzhev 2.9
Belebey 2.9
Izberbash 3.7
Tikhvin 2.7
Shuya 2.6
Meleuz 2.8
Tshekino 3.2
Lytkarino 3.5
Aleksin 3.1
Prohladny 3.1
Pavlovo 3.2
Salsk 2.9
Krymsk 3.2
Nyagan 3.0
Nerungri 3.4
Iskitim 2.9
Vorkuta 3.6
Apatity 3.7
Volzhsk 2.4
Lisky 2.8
Shali 3.5
Svobodniy 2.3
Moskovsky 3.7
Vyksa 2.7
Gudermes 3.1
Sertolovo 3.1
Vyazma 3.1
Arsenev 2.9
Uzlovaya 3.1
Kirishi 3.1
Sneginsk 3.2
Borovichy 2.8
Roslavl 2.6
Kotelniki 2.7
Murino 3.2

Statistics of the average self-isolation index by day

General world statistics of COVID-19

Infections

42 148 875 +453200

Recovered

28 484 306 +138489

Deaths

1 143 495 +6302

data updated: 2020-10-24 15:10 (MSK)Embed widget
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We collect real-time data on the spread of coronavirus (COVID-19) in countries around the world from reliable sources and present them in a format that is convenient for you. You can find out how many people got sick with cornavirus in any country in the world, and see the dynamics of the spread of the coronavirus. Statistics on COVID-19 and self-isolation. XS SM MD LG XL