The OSAGO coefficient by region is established by law and can be adjusted by instructions or additions to the calculation rules of the Bank of Russia. The regional coefficient is included in the standard formula for calculating the cost of compulsory motor insurance. The lowest coefficient is 0.5, refers to sparsely populated and subsidized regions. Maximum regional coefficient for insurance in Moscow.
What does the regional coefficient depend on?
When forming the coefficient for compulsory motor liability insurance by region, the number and density of the population of each specific region, autonomous district, region, settlement, city is taken into account. The number of registered vehicles in a given region is taken into account. The differences that are formed on the basis of general statistics can be significant. Due to different concentrations of population and vehicles, the insurance ratio in cities is always higher than in the region. For example, if in Moscow the regional coefficient is 2, then in the Moscow region it is 1.7.
An important factor in assigning the appropriate coefficient is the accident rate. The more accidents in a region, the higher the regional MTPL coefficient. This is due to the risks of the insurance company. The higher the risks, the higher the insurance price.
Periodically, the coefficients are adjusted by the Bank of Russia; changes are made centrally to the rules for calculating the coefficient by region, which are mandatory for all insurance companies. The last adjustment was made in 2015 due to an increase in the maximum insurance payment.
How is the price of an MTPL policy calculated?
When calculating the cost of a compulsory insurance policy, a number of laws are taken into account:
- Law on compulsory motor liability insurance. It examines the main rules of calculation, and also establishes standards for the use of certain indicators.
- Directive from the Central Bank of the Russian Federation. Here are the basic rates that are used to perform calculations, as well as the coefficients used in relation to a specific car owner.
Having the necessary set of parameters at hand, you can begin to perform calculations to calculate the price of compulsory motor insurance. The formula itself looks like this:
P = TB x CT x KO x KM x KBM x KVS x KS x KN x KP.
The following parameters apply here:
- P is the price that the driver must pay for compulsory motor liability insurance.
- TB is the main tariff established by the Central Bank of the Russian Federation. It has a certain “corridor”, within the boundaries of which insurers can change their offer. Due to the intense competition in the market, insurers tend to apply favorable rates.
- CT is the indicator that is the main focus of the article. Its size depends on the place where the owner of the car is registered. This indicator is established at the legislative level and may change.
- KBM is a special “bonus-malus” parameter. It depends on how many times the car owner applied for payment of compulsory motor liability insurance in the past. The KBM value is easy to calculate using a formula and tabular information.
- KVS is an indicator that reflects the relationship between key characteristics - the age of the owner and driving experience. This parameter is fixed by law and is reflected in tabular form.
- KO is a coefficient, the value of which depends on the number of drivers who have access to driving a car. To determine QR, you can use a special table.
- KM is an element of the mentioned formula, depending on the power of the insured vehicle. We are talking about cars belonging to categories B and BE (data on this indicator can also be obtained from the table).
- KS - shows the time when the machine is in operation. This coefficient is tried on during the calculation process if the car owner uses the car for a certain period, and not the entire calendar year. For example, a person can drive a vehicle only in summer, spring and autumn, but not in winter.
- KN - reflects the fact of violation on the part of the car owner of the insurance conditions specified in the MTPL agreement. If there are no deviations from the terms of the agreement, the CN is set to 1. If there are any, the parameter increases to 1.5. This means that the cost of the policy increases by 50%. Violations include providing deliberately false indicators, transferring control of the vehicle to people who are not included in the policy, leaving the scene of an accident, and so on.
- CP is a parameter that depends on the period for which the contract is drawn up with the insurance company. It is determined by the Central Bank and recorded in the table.
All of the above indicators affect the final cost of the policy. And their use reduces or increases the cost of compulsory motor liability insurance, and in some cases leaves the level of expenses of the car owner when purchasing a policy unchanged. The territory coefficient deserves special attention, because it changes frequently.
How to find out your regional coefficient
The coefficient is not calculated at the place where the car was purchased, as one might expect, and not at the place where the vehicle is used. The regional coefficient is tied to the registration or temporary registration of the car owner. That is, a Muscovite, purchasing a car in Cheboksary, will buy MTPL insurance at Moscow rates, even if he drives in Cheboksary or the Murmansk region. If the coefficients vary significantly, it may make sense to register the car in the regions. To do this, you will have to negotiate with one of your relatives or friends who has a local registration, or get a regional registration yourself.
For individual entrepreneurs and enterprises, the calculation of the regional coefficient is carried out according to the region of official registration of the organization, according to the region of the legal address.
For motor transport companies, the difference in insurance costs can result in significant amounts. It may actually make sense to register a business in the region in order to get savings. The regional OSAGO coefficient can change the total cost of insurance by almost 4 times - from a minimum value of 0.6 to a maximum of 2.0.
Knowing the correct values of all coefficients, you can correctly calculate the cost of MTPL insurance for your car and even save a lot. For your convenience, we provide complete tables of regional coefficients for territories, republics and districts.
Basic coefficient (tariff)
The base tariff (rate) is calculated in rubles. The value is fixed.
It is determined by the Central Bank of Russia, determined by the category of the car, the insured (individual or legal entity).
person), pricing policy and internal rules of the company (gender of the owner, year of manufacture of the car, etc.), purpose of use of the car (taxi or personal use), color and brand of the vehicle, marital status and varies within the following limits:
See the table for other data:
Table of regional coefficients by republic
The values have 2 digits for each region - for conventional vehicles and for tractors, agricultural machinery, and self-propelled vehicles. As a rule, the coefficient for tractors is much lower, this must be taken into account.
The cost of insurance, like a constructor, consists of several nuances
Region, subject of the Federation, joint-stock company | Importance for motor transport | Tractors, self-propelled vehicles |
Moscow | 2 | 1.2 |
Adygea | 1.3 | 1 |
Karachay-Cherkessia | 1 | 0.8 |
Tyva | 0.6 | 0.5 |
Chechnya | 0.6 | 0.5 |
Crimea | 0.6 | 0.6 |
Leningrad region | 1.3 | 0.8 |
Moscow region | 1.7 | 1 |
Jewish Autonomous Region | 0.6 | 0.5 |
Nenets Autonomous Okrug | 0.8 | 0.5 |
Baikonur | 0.6 | 0.5 |
Altai Republic | Importance for motor transport | Tractors, self-propelled vehicles |
Gorno-Altaisk | 1.3 | 0.8 |
Other settlements | 0.7 | 0.5 |
Bashkortostan | ||
Oktyabrsky, Blagoveshchensk | 1.2 | 0.8 |
Ishimbay, Salavat, Kumertau | 1.1 | 0.8 |
Sterlitamak, Tuymazy | 1.3 | 0.8 |
Ufa | 1.8 | 1 |
Other cities | 1 | |
Dagestan | ||
Buynaksk, Khasavyurt, Derbent, Makhachkala, Kaspiysk | 0.7 | 0.5 |
Other settlements | 0.6 | 0.5 |
Buryatia | Importance for motor transport | Tractors, self-propelled vehicles |
Ulan-Ude | 1.3 | 0.8 |
Other settlements | 0.6 | 0.5 |
Ingushetia | ||
Malgobek | 0.8 | 0.6 |
Other settlements | 0.6 | 0.5 |
Kabardino-Balkaria | ||
Nalchik, Prokhladny | 1 | 0.8 |
Other settlements | 0.7 | 0.5 |
Kalmykia | ||
Elista | 1.3 | 0.8 |
Other settlements | 0.6 | 0.5 |
Komi | Importance for motor transport | Tractors, self-propelled vehicles |
Syktyvkar | 1.6 | 1 |
Ukhta | 1.5 | 0.8 |
Other settlements | 1 | 0.8 |
Karelia | ||
Petrozavodsk | 1.3 | 0.8 |
Other settlements | 0.8 | 0.5 |
Mordovia | ||
Ruzaevka | 1.2 | 1 |
Saransk | 1.5 | 1 |
Other settlements | 0.8 | 0.6 |
Mari El | ||
Volzhsk | 1 | 0.8 |
Yoshkar-Ola | 1.4 | 0.8 |
Other settlements | 0.7 | 0.5 |
North Ossetia | Importance for motor transport | Tractors, self-propelled vehicles |
Vladikavkaz | 1 | 0.8 |
Other settlements | 0.8 | 0.5 |
Sakha | ||
Neryungri | 0.8 | 0.5 |
Yakutsk | 1.2 | 0.7 |
Other settlements | 0.6 | 0.5 |
Khakassia | ||
Abakan, Chernogorsk, Sayanogorsk | 1 | 0.8 |
Other settlements | 0.6 | 0.5 |
Tatarstan | ||
Kazan | 2 | 1.2 |
Bugulma, Leninogorsk, Chistopol | 1 | 0.8 |
Elabuga | 1.2 | 0.8 |
Naberezhnye Chelny | 1.7 | 1 |
Almetyevsk, Zelenodolsk, Nizhnekamsk | 1.3 | 0.8 |
Other settlements | 1.1 | 0.8 |
Chuvashia | Importance for motor transport | Tractors, self-propelled vehicles |
Novocheboksarsk | 1.2 | 0.8 |
Kanash | 1.1 | 0.8 |
Cheboksary | 1.7 | 1 |
Other settlements | 0.8 | 0.5 |
Udmurtia | ||
Glazov, Sarapul | 1 | 0.8 |
Izhevsk | 1.6 | 1 |
Votkinsk | 1.1 | 0.8 |
Other settlements | 0.8 | 0.5 |
Regional OSAGO coefficients around the edges
Altai region | Importance for motor transport | Tractors, self-propelled vehicles |
Biysk | 1.2 | 0.8 |
Barnaul | 1.7 | 1 |
Zarinsk, Novoaltaisk, Rubtsovsk | 1.1 | 0.8 |
Other settlements | 0.7 | 0.5 |
Kamchatka Krai | ||
Petropavlovsk-Kamchatsky | 1.3 | 1 |
Other settlements | 1 | 0.6 |
Stavropol region | ||
Budennovsk, Georgievsk, Essentuki, Mineralnye Vody, Nevinnomyssk, Pyatigorsk | 1 | 0.8 |
Kislovodsk, Mikhailovsk, Stavropol | 1.2 | 0.8 |
Other settlements | 0.7 | 0.5 |
Transbaikal region | Importance for motor transport | Tractors, self-propelled vehicles |
Chita | 0.7 | 0.5 |
Other settlements | 0.6 | 0.5 |
Krasnodar region | ||
Sochi, Armavir, Tuapse | 1.2 | 0.8 |
Anapa, Gelendzhik | 1.3 | 0.8 |
Belorechensk, Slavyansk-on-Kuban, Yeysk, Kropotkin, Krymsk, Kurganinsk, Labinsk, Timashevsk, Tikhoretsk | 1.1 | 0.8 |
Krasnodar, Novorossiysk | 1.8 | 1 |
Other settlements | 1 | 0.8 |
Krasnoyarsk region | ||
Krasnoyarsk | 1.8 | 1 |
Kansk, Lesosibirsk, Minusinsk, Nazarovo | 1 | 0.8 |
Zelenogorsk, Achinsk | 1.1 | 0.8 |
Zheleznogorsk, Norilsk | 1.3 | 0.8 |
Other settlements | 0.9 | 0.5 |
Primorsky Krai | ||
Arsenyev, Artem, Nakhodka, Spassk-Dalniy, Ussuriysk | 1 | 0,8 |
Vladivostok | 1,4 | 1 |
Other settlements | 0,7 | 0,5 |
Perm region | Importance for motor transport | Tractors, self-propelled vehicles |
Solikamsk | 1.2 | 0.8 |
Berezniki, Krasnokamsk | 1.3 | 0.8 |
Permian | 2 | 1.2 |
Lysva, Tchaikovsky | 1 | 0.8 |
Other settlements | 1.1 | 0.8 |
Khabarovsk region | ||
Khabarovsk | 1.7 | 1 |
Komsomolsk-on-Amur | 1.3 | 0.8 |
Amursk | 1 | 0.8 |
Other settlements | 0.8 | 0.5 |
Arhangelsk region | ||
Severodvinsk | 1.7 | 1 |
Arkhangelsk | 1.8 | 1 |
Kotlas | 1.6 | 1 |
Other settlements | 1 | 0.5 |
OSAGO regional coefficients by region
Amur region | Importance for motor transport | Tractors, self-propelled vehicles |
Belogorsk, Svobodny | 1.1 | 0.9 |
Blagoveshchensk | 1.6 | 0.9 |
Other settlements | 1 | 0.6 |
Astrakhan region | ||
Astrakhan | 1.4 | 1 |
Other settlements | 0.8 | 0.5 |
Bryansk region | ||
Klintsy | 1 | 0.8 |
Bryansk | 1.5 | 1 |
Other settlements | 0.7 | 0.5 |
Volgograd region | ||
Kamyshin, Mikhailovka | 1 | 0.8 |
Volzhsky | 1.1 | 0.8 |
Volgograd | 1.3 | 0.8 |
Other settlements | 0.7 | 0.5 |
Belgorod region | Importance for motor transport | Tractors, self-propelled vehicles |
Gubkin, Stary Oskol | 1 | 0.8 |
Belgorod | 1.3 | 0.8 |
Other settlements | 0.8 | 0.5 |
Vologda Region | ||
Cherepovets | 1.8 | 1 |
Vologda | 1.7 | 1 |
Other settlements | 0.9 | 0.5 |
Voronezh region | ||
Borisoglebsk, Liski, Rossosh | 1.1 | 0.9 |
Voronezh | 1.5 | 0.9 |
Other settlements | 0.8 | 0.6 |
Vladimir region | ||
Moore | 1.2 | 0.8 |
Vladimir | 1.6 | 1 |
Gus-Khrustalny | 1.1 | 0.8 |
Other settlements | 1 | 0.8 |
Voronezh region | Importance for motor transport | Tractors, self-propelled vehicles |
Borisoglebsk, Liski, Rossosh | 1.1 | 0.9 |
Voronezh | 1.5 | 1.1 |
Other settlements | 0.8 | 0.6 |
Irkutsk region | ||
Usolye-Sibirskoye | 1.1 | 0.8 |
Irkutsk | 1.7 | 1 |
Angarsk | 1.2 | 0.8 |
Shelekhov | 1.3 | 0.8 |
Bratsk, Tulun, Ust-Kut, Cheremkhovo, Ust-Ilimsk | 1 | 0.8 |
Other settlements | 0.8 | 0.5 |
Ivanovo region | ||
Ivanovo | 1.8 | 1 |
Shuya | 1 | 0.8 |
Kineshma | 1.1 | 0.8 |
Other settlements | 0.9 | 0.5 |
Kirov region | Importance for motor transport | Tractors, self-propelled vehicles |
Kirovo-Chepetsk | 1.2 | 0.8 |
Kirov | 1.4 | 1 |
Kirovo-Chepetsk | 1.2 | 0.8 |
Other settlements | 0.8 | 0.5 |
Kaluga region | ||
Obninsk | 1.3 | 0.8 |
Kaluga | 1.2 | 0.8 |
Other settlements | 0.9 | 0.5 |
Kemerovo region | ||
Anzhero-Sudzhensk, Kiselevsk, Yurga | 1.2 | 0.8 |
Novokuznetsk | 1.8 | 1 |
Kemerovo | 1.9 | 1 |
Belovo, Berezovsky, Mezhdurechensk, Osinniki, Prokopyevsk | 1.3 | 0.8 |
Other settlements | 1.1 | 0.8 |
Kaliningrad region | ||
Kaliningrad | 1.1 | 0.8 |
Other settlements | 0.8 | 0.5 |
Kostroma region | Importance for motor transport | Tractors, self-propelled vehicles |
Kostroma | 1.3 | 0.8 |
Other settlements | 0.7 | 0.5 |
Kursk region | ||
Kursk | 1.2 | 0.8 |
Zheleznogorsk | 1 | 0.8 |
Other settlements | 0.7 | 0.5 |
Kurgan region | ||
Shadrinsk | 1.1 | 0.8 |
Mound | 1.4 | 0.8 |
Other settlements | 0.6 | 0.5 |
Lipetsk region | ||
Dace | 1 | 0.8 |
Lipetsk | 1.5 | 1 |
Other settlements | 0.8 | 0.5 |
Murmansk region | Importance for motor transport | Tractors, self-propelled vehicles |
Apatity, Monchegorsk | 1.3 | 1 |
Severomorsk | 1.6 | 1 |
Murmansk | 2.1 | 1.2 |
Other settlements | 1.2 | 1 |
Magadan Region | ||
Magadan | 0.7 | 0.5 |
Other settlements | 0.6 | 0.5 |
Novosibirsk region | ||
Kuibyshev | 1 | 0.8 |
Novosibirsk | 1.7 | 1 |
Iskitim | 1.2 | 0.8 |
Berdsk | 1.3 | 0.8 |
Other settlements | 0.9 | 0.5 |
Novgorod region | ||
Borovichi | 1 | 0.8 |
Velikiy Novgorod | 1.3 | 0.8 |
Other settlements | 0.9 | 0.5 |
Nizhny Novgorod Region | Importance for motor transport | Tractors, self-propelled vehicles |
Balakhna, Bor, Dzerzhinsk | 1.3 | 0.8 |
Nizhny Novgorod | 1.8 | 1 |
Arzamas, Vyksa, Sarov | 1.1 | 0.8 |
Kstovo | 1.2 | 0.8 |
Other settlements | 1 | 0.8 |
Orenburg region | ||
Buguruslan, Buzuluk, Novotroitsk | 1 | 0.8 |
Orsk | 1.1 | 0.8 |
Orenburg | 1.7 | 1 |
Other settlements | 0.8 | 0.5 |
Oryol Region | ||
Eagle | 1.2 | 0.8 |
Other settlements | 0.7 | 0.5 |
Omsk region | ||
Omsk | 1.6 | 1 |
Other settlements | 0.9 | 0.5 |
Pskov region | Importance for motor transport | Tractors, self-propelled vehicles |
Velikie Luki | 1 | 0.8 |
Pskov | 1.2 | 0.8 |
Other settlements | 0.7 | 0.5 |
Penza region | ||
Zarechny | 1.2 | 0.8 |
Kuznetsk | 1 | 0.8 |
Penza | 1.4 | 1 |
Other settlements | 0.7 | 0.5 |
Rostov region | ||
Azov | 1.2 | 0.8 |
Rostov-on-Don | 1.8 | 1 |
Volgodonsk, Gukovo, Kamensk-Shakhtinsky, Novocherkassk, Novoshakhtinsk, Salsk, Taganrog | 1 | 0.8 |
Bataysk | 1.3 | 0.8 |
Mines | 1.1 | 0.8 |
Other settlements | 0.8 | 0.5 |
Ryazan Oblast | ||
Ryazan | 1.4 | 1 |
Other settlements | 0.9 | 0.5 |
Saratov region | Importance for motor transport | Tractors, self-propelled vehicles |
Balakovo, Balashov, Volsk | 1 | 0.8 |
Saratov | 1.6 | 1 |
Engels | 1.2 | 0.8 |
Other settlements | 0.7 | 0.5 |
Samara Region | ||
Novokuybyshevsk, Syzran | 1.1 | 0.8 |
Tolyatti | 1.5 | 1 |
Samara | 1.6 | 1 |
Chapaevsk | 1.2 | 0.8 |
Other settlements | 0.9 | 0.5 |
Sakhalin region | ||
Yuzhno-Sakhalinsk | 1.5 | 1 |
Other settlements | 0.9 | 0.5 |
Sverdlovsk region | ||
Ekaterinburg | 1.8 | 1 |
Novouralsk, Berezovsky, Pervouralsk, Verkhnyaya Pyshma, | 1.3 | 0.8 |
Polevskoy, Verkhnaya Salda | 1.2 | 0.8 |
Asbest, Revda | 1.1 | 0.8 |
Other settlements | 1 | 0.8 |
Smolensk region | Importance for motor transport | Tractors, self-propelled vehicles |
Smolensk | 1.2 | 0.8 |
Yartsevo, Safonovo, Vyazma, Roslavl | 1 | 0.8 |
Other settlements | 0.7 | 0.5 |
Tver region | ||
Tver | 1.5 | 1 |
Kimry, Vyshny Volochek, Rzhev | 1 | 0.8 |
Other settlements | 0.8 | 0.5 |
Tomsk region | ||
Tomsk | 1.6 | 1 |
Seversk | 1.2 | 0.8 |
Other settlements | 0.9 | 0.5 |
Tula region | Importance for motor transport | Tractors, self-propelled vehicles |
Tula | 1.5 | 1 |
Shchekino, Uzlovaya, | 1.2 | 0.8 |
Novomoskovsk, Aleksin, Efremov | 1 | 0.8 |
Other settlements | 0.9 | 0.5 |
Tambov Region | ||
Michurinsk | 1 | 0.8 |
Tambov | 1.2 | 0.8 |
Other settlements | 0.8 | 0.5 |
Ulyanovsk region | ||
Ulyanovsk | 1.5 | 1.1 |
Dimitrovgrad | 1.2 | 0.9 |
Other settlements | 0.9 | 0.6 |
Tyumen region | Importance for motor transport | Tractors, self-propelled vehicles |
Tobolsk | 1.3 | 0.8 |
Tyumen | 2 | 1.2 |
Other settlements | 1.1 | 0.8 |
Chelyabinsk region | ||
Chelyabinsk | 2.1 | 1.3 |
Magnitogorsk | 1.8 | 1 |
Kopeisk | 1.6 | 1 |
Miass, Zlatoust | 1.4 | 0.8 |
Chebarkul, Satka | 1.2 | 0.8 |
Other settlements | 1 | 0.8 |
Yaroslavl region | ||
Yaroslavl | 1.5 | 1 |
Other settlements | 0.9 | 0.5 |
What should you consider regarding odds?
The size of the indicators used when calculating the cost of compulsory motor liability insurance can vary over a wide range. Some coefficients have only two or three parameters. As for the territory coefficient, there are dozens of positions. This means that to determine the exact parameter for your region, you should have a special table in front of your eyes.
The parameters discussed above are not always used in the calculation process:
- KM is used only for passenger cars.
- CPR, on the contrary, does not apply to passenger vehicles.
- The CP is not relevant for cars registered in the Russian Federation.
There are many aspects that a car owner must take into account during the calculation process. That is why calculations are not carried out manually, but using a special calculator. It contains the necessary parameters and takes into account the correct algorithm.
Autonomous okrugs, OSAGO coefficients
Khanty-Mansi Autonomous Okrug | Importance for motor transport | Tractors, self-propelled vehicles |
Khanty-Mansiysk | 1.5 | 1 |
Kogalym | 1 | 0.8 |
Nizhnevartovsk | 1.8 | 1 |
Surgut | 2 | 1.2 |
Nefteyugansk, Nyagan | 1.3 | 0.8 |
Other settlements | 1.1 | 0.8 |
Chukotka Autonomous Okrug | 0.6 | 0.5 |
Yamalo-Nenets Autonomous Okrug | ||
Noyabrsk | 1.7 | 1 |
New Urengoy | 1 | 0.8 |
Other settlements | 1.1 | 0.8 |