Geodata

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Geodata represents a crucial element for successful geomarketing research.  In the past there has been little of this type of information available in Russia or for the Russian markets. Now, by employing strong capabilities and proven techniques of data collection and data aggregation as well as building key relationships with reliable data sources, Center for Spatial Research has accumulated one of Russia’s largest databases of geographical data. This database grows continually. We offer the data on different geographical levels such as administrative districts, municipal districts and blocks. Recently we began providing Geodata on postal code level.

Saint-Petersburg and Leningrad Oblast Geodata

Moscow and Moscow Oblast Geodata

List of оther Russian Cities and Available Geodata

Country

Abakan [1,14]
Angarsk [1,2,3,6,7,8,9,10,11,12,13,14]
Arzamas [1,5,14]
Arkhangel’sk [1,2,3,4,5,14]
Astrakhan’ [1,2,3,4,5,14]
Balashikha [1,14]
Barnaul [1,2,3,4,6,7,8,9,10,11,12,13,14]
Belgorod [1,2,3,4,14,15]
Bor [1,2,3,14]
Bryansk [1,2,3,4,5,14,15]
Cheboksary [1,5,14]
Chelyabinsk [1,2,3,4,6,7,8,9,10,11,12,13,14,15]
Cherepovets [1,2,3,4,5,14]
Dzerzhinsk [1,5,14]
Dimitrovgrad [1,14]
Elista [1]

federal subject

Ehngel’s [1,14]
Ekaterinburg [1,2,3,4,6,7,8,9,10,11,12,13,14,15]
Gelendzhik [1,5,14]
Ivanovo [1,2,15]
Izhevsk [1,2,3,4,6,7,8,9,10,11,12,13,14]
Irkutsk [1,6,7,8,9,10,11,12,13,14]
Kazan’ [1,3,4,5,6,7,8,9,10,11,12,13,14,15]
Kaliningrad [1,2,3,5,14]
Kaluga [1,2,15]
Kamensk-Ural’skiy [1,14]
Kemerovo [1,6,7,8,9,10,11,12,13,14]
Khabarovsk [1,2,3,4,6,7,8,9,10,11,12,13,14]
Khanty-Mansiysk [1,2,3,14]
Kingisepp [1,3,14]
Kirov [1,5,14]
Kovrov [1,14]
Kolomna [1,14]
Komsomol’sk-na-Amure [1,14]
Korolev [1,2]
Kostroma [1,2,15]
Krasnodar [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]
Krasnoyarsk [1,2,3,6,7,8,9,10,11,12,13,14,15]
Kurgan [1,14]
Kursk [1,2,15]
Lipetsk [1,2,3,4,5,14,15]
Lyubertsy [1,14]
Magnitogorsk [1,3,14,15]

Administrative district

Meleuz [1,15]
Miass [1,14]
Moscow [1,2,3,4,5,6,7,8,9,10,11,12,13,14]
Mytischi [1,2]
Naberezhnye chelny [1,2,3,14,15]
Nal’chik [1,14]
Nevinnomyssk [1,14]
Nizhnevartovsk [1,14]
Nizhnekamsk [1,14]
Nizhniy Novgorod [1,2,3,4,5,6,7,8,9,10,11,12,13,14]
Nizhniy Tagil [1,14]
Novokuznetsk [1,2]
Novomoskovsk [1,14]
Novorossiysk [1,2,14]
Novosibirsk [1,2,3,4,6,7,8,9,10,11,12,13,14,15]
Novocherkassk [1,14]
Odintsovo [1,14]
Omsk [1,2,3,4,6,7,8,9,10,11,12,13,14,15]
Orel [1,2,14]
Orenburg [1,2,3,4,5,14]
Orekhovo-Zuevo [1,2]
Orsk [1,14]
Penza [1,2,3,4,5,14]
Perm’ [1,2,3,5,6,7,8,9,10,11,12,13,14]
Petrozavodsk [1,2,5,14]

Municipal District

Podol’sk [1,14]
Pskov [1,2,3,4,5,14]
Pyatigorsk [1,14]
Rostov-na-Donu [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]
Ryazan’ [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]
Samara [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]
Saint-Petersburg [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]
Saransk [1,5,14]
Saratov [1,2,5,14]
Sergiev Posad [1,14]
Serpukhov [1,14]
Shakhty [1,14]
Shchelkovo [1,14]
Smolensk [1,2,3,4,5,14,15]
Sochi[1,2,3,5,6,7,8,9,10,11,12,13,14]
Stavropol’ [1,2,3,4,5,6,7,8,9,10,11,12,13,14]
Sterlitamak [1,14]
Surgut [1,2]
Syzran’ [1,14]

Blocks

Taganrog [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]
Tambov [1,2,14]
Tver’ [1,2,3,4,5,6,7,8,9,10,11,12,13,14]
Tol’yatti [1,2,3,4,5,14,15]
Tomsk [1,2,3,6,7,8,9,10,11,12,13,14]
Tuapse [1,5,14]
Tula [1,2,3,4,5,6,7,8,9,10,11,12,13,14]
Tyumen’ [1,2,6,7,8,9,10,11,12,13,14]
Ulan-Ude [1,2,3,6,7,8,9,10,11,12,13,14]
Ul’yanovsk [1,2,3,6,7,8,9,10,11,12,13,14]
Ufa [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15]
Velikiy Novgorod [1,5,14]
Vladivostok [1,2,3,4,6,7,8,9,10,11,12,13,14]
Vladimir [1,2,5,6,7,8,9,10,11,12,13,14]
Volgograd [1,2,3,4,5,14,15]
Volzhskiy [1,14,15]
Vologda [1,2,3,4,5,14]
Voronezh [1,2,3,4,5,6,7,8,9,10,11,12,13,14]
Yoshkar-Ola [1,14]
Yaroslavl’ [1,2,3,5,6,7,8,9,10,11,12,13,14,15]
Zelenograd [1,14]
geodata
[1] – Basic topographic layers (hydrography, blocks, network of streets, buildings);
[2] – Number of population by micro-districts;
[3] – Large commercial estate objects (trade centers);
[4] – Average daily traffic flow;
[5] – Food retail networks (type, address, name, coordinates);
[6] – New buildings (built during last 3-5 years);
[7] – Residential houses under construction;
[8] – Medium period of real estate exposition by districts;
[9] – Types of residential houses by districts;
[10] – The average square of apartments by type / class (elite, economy, etc.) by districts;
[11] – The average price of the secondary market real estate;
[12] – The average price of the secondary market real estate by type / class by districts;
[13] – The cost of renting a single-room apartment by districts;
[14] – Croud accumulation indicators (trade objects, business centers, etc.);
[15] – Zip codes zones.