Russia's capital, Moscow, was the largest city in the country with over **** million residents as of January 1, 2024. Less than a half of Moscow's population resided in Saint Petersburg, the second-most populous city in the country. The third-largest city, Novosibirsk, was located in the Siberian Federal District, being the highest-populated city in the Asian part of Russia. Why is Moscow so populated? The Russian capital is the center of political, industrial, business, and cultural life in Russia. Despite being one of the most expensive cities worldwide, it continues to attract people from Russia and abroad, with its resident population following a generally upward trend over the past decade. Wages in Moscow are higher than in Russia on average, and more opportunities for employment and investment are available in the capital. Furthermore, the number of people living in Moscow was forecast to continue rising, exceeding **** million by 2035. Urbanization in Russia In 2024, around *** million Russian residents lived in cities. That was approximately three-quarters of the country’s population. The urbanization rate increased steadily over the 20th century, leading to a decline in the rural population. Among the country’s regions, the Northwestern Federal District had the highest share of residents in urban areas, measured at ** percent. In the Central Federal District, the tendency was that more people moved to Moscow and cities in the Moscow Oblast.

1117 Russian cities with city name, region, geographic coordinates and 2020 population estimate. How to use from pathlib import Path import requests import pandas as pd url = ("https://raw.githubusercontent.com/" "epogrebnyak/ru-cities/main/assets/towns.csv") # save file locally p = Path("towns.csv") if not p.exists(): content = requests.get(url).text p.write_text(content, encoding="utf-8") # read as dataframe df = pd.read_csv("towns.csv") print(df.sample(5)) Files: towns.csv - city information regions.csv - list of Russian Federation regions alt_city_names.json - alternative city names Сolumns (towns.csv): Basic info: city - city name (several cities have alternative names marked in alt_city_names.json) population - city population, thousand people, Rosstat estimate as of 1.1.2020 lat,lon - city geographic coordinates Region: region_name - subnational region (oblast, republic, krai or AO) region_iso_code - ISO 3166 code, eg RU-VLD federal_district, eg Центральный City codes: okato oktmo fias_id kladr_id Data sources City list and city population collected from Rosstat publication Регионы России. Основные социально-экономические показатели городов and parsed from publication Microsoft Word files. City list corresponds to this Wikipedia article. Alternative dataset is wiki-based Dadata city dataset (no population data). Comments City groups Ханты-Мансийский and Ямало-Ненецкий autonomous regions excluded to avoid duplication as parts of Тюменская область. Several notable towns are classified as administrative part of larger cities (Сестрорецк is a municpality at Saint-Petersburg, Щербинка part of Moscow). They are not and not reported in this dataset. By individual city Белоозерский not found in Rosstat publication, but should be considered a city as of 1.1.2020 Alternative city names We suppressed letter "ё" city columns in towns.csv - we have Орел, but not Орёл. This affected: Белоозёрский Королёв Ликино-Дулёво Озёры Щёлково Орёл Дмитриев and Дмитриев-Льговский are the same city. assets/alt_city_names.json contains these names. Tests poetry install poetry run python -m pytest How to replicate dataset 1. Base dataset Run: download data stro rar/get.sh convert Саратовская область.doc to docx run make.py Creates: _towns.csv assets/regions.csv 2. API calls Note: do not attempt if you do not have to - this runs a while and loads third-party API access. You have the resulting files in repo, so probably does not need to these scripts. Run: cd geocoding run coord_dadata.py (needs token) run coord_osm.py Creates: coord_dadata.csv coord_osm.csv 3. Merge data Run: run merge.py Creates: assets/towns.csv See code at Github: https://github.com/epogrebnyak/ru-cities

As of January 1, 2025, ***** million inhabitants lived in Russian cities, opposed to **** million people living in the countryside. The rural population of Russia saw a gradual decrease over the observed time period.

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name

Population: Female: VR: Republic of Chuvashia data was reported at 628,058.000 Person in 2023. This records a decrease from the previous number of 630,553.000 Person for 2022. Population: Female: VR: Republic of Chuvashia data is updated yearly, averaging 679,174.000 Person from Dec 1989 (Median) to 2023, with 35 observations. The data reached an all-time high of 727,230.000 Person in 1992 and a record low of 628,058.000 Person in 2023. Population: Female: VR: Republic of Chuvashia data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GA010: Population: Female: by Region.

Population: Urban: CF: City of Moscow data was reported at 13,258,262.000 Person in 2024. This records an increase from the previous number of 13,149,803.000 Person for 2023. Population: Urban: CF: City of Moscow data is updated yearly, averaging 11,139,139.500 Person from Dec 1989 (Median) to 2024, with 36 observations. The data reached an all-time high of 13,258,262.000 Person in 2024 and a record low of 8,880,124.000 Person in 1989. Population: Urban: CF: City of Moscow data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GA011: Population: Urban: by Region.

This database provides a construction of Large Urban Regions (LUR) in Russia. A Large Urban Region (LUR) can be defined as an aggregation of continuous statistical units around a core that are economically dependent on this core and linked to it by economic and social strong interdependences. The main purpose of this delineation is to make cities comparable on the national and world scales and to make comparative social-economic urban studies. Aggregating different municipal districts around a core city, we construct a single large urban region, which allows to include all the area of economic influence of a core into one statistical unit (see Rogov & Rozenblat, 2019 for more details). In doing so we use four principal urban concepts (Pumain et al., 1992): political definition, morphological definition, functional definition and conurbation that we call Large Urban Region. We implemented LURs using criteria such as population distribution, road networks, access to an airport, distance from a core, presence of multinational firms. In this database we provide population data for LURs and their administrative units.

In 2024, the total population of Russia was around 146.1 million people. Only a fraction of them live in the major Russian cities. With almost 12.5 million inhabitants, Moscow is the largest of them. In the upcoming years until 2030, the population was forecast to decline.Russia's economy Russia is one of the major economies in the world and is one of the wealthiest nations. Following the 1998 Russian financial crisis, Russia introduced several structural reforms that allowed for a fast economic recovery. Following these reforms, Russia experienced significant economic growth from the early 2000s and improved living standards in general for the country. A reason for the momentous economical boost was the rise in commodity prices as well as a boom in the total amount of consumer credit. Additionally, Russia is highly dependent on the mining and production of natural resources, primarily in the energy department, in order to promote economic growth in the country. Due to large energy reserves throughout the country, Russia has developed a stable economy capable of sustaining itself for many years into the future. The majority of Russian oil and energy reserves are located in the Western Siberian areas. These natural gas liquids, along with oil reserves that consist of crude oil, shale oil and oil sands are constantly used for the production of consumable oil, which is an annually growing industry in Russia. Oil products are one of Russia’s primary exports and the country is able to profit entirely off of sales due to high prices as well as high demand for such goods.

Files and columns

1. towns.csv:

• city_name
• population - Rosstat estimate, thousand people, as of 1.1.2020
• region_name - subnational region (oblast, republic or krai)

To be added (via dadata.ru and OSM):

• lat,lon - geographic coordinates (from OSM)
• federal_district, eg "Центральный"
• region_iso_code - ISO 3166 code, eg RU-VLD
• fias_id - код ФИАС
• kladr_id - код КЛАДР (depreciated)
• place_id - OpenStreetMap (OSM) identifier

2. regions.csv - list of Russian Federation regions

Sources

• City list and city population collected from Rosstat publication Регионы России. Основные социально-экономические показатели городов and parsed from publication Microsoft Word files.
• City list corresponds to this Wikipedia article.

Comments

• Белоозерский not found in Rosstat publication, but should be considered a city as of 1.1.2020
• Дмитриев and Дмитриев-Льговский are the same city.
• Ханты-Мансийский and Ямало-Ненецкий autonomous regions excluded to avoid duplication (parts of Тюменская область).
• Several notable towns are classified as administrative part of larger cities (eg Сестрорецк is a municpality at Санкт-Петербург) and not reported in this dataset.

Population: SF: City of Sevastopol data was reported at 558,163.000 Person in 2024. This records a decrease from the previous number of 561,374.000 Person for 2023. Population: SF: City of Sevastopol data is updated yearly, averaging 522,366.000 Person from Dec 2014 (Median) to 2024, with 11 observations. The data reached an all-time high of 561,374.000 Person in 2023 and a record low of 398,973.000 Person in 2014. Population: SF: City of Sevastopol data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GA002: Population: by Region.

As of January 1, 2023, over 13.1 million persons resided in Moscow, the largest city in Russia and Europe. The population of the Russian capital increased slightly from the previous year. The number of Moscow residents crossed the 13-million mark in 2021. Starting from 2012, the city’s population grew by roughly 1.5 million. Moscow is one of the world’s megacities with the largest land area, which exceeds 6,600 square kilometers. Cost of living in Moscow While prices in Moscow are higher than in most other cities of Russia, they are lower than in many other megacities around the world, such as Singapore, New York, and Paris. In 2023, Moscow recorded the largest drop in the rank in the list of the most expensive cities worldwide, at 105 positions. Moscow residents earned an average net salary of 128,300 Russian rubles per month in 2022. Immigration to Moscow Due to the presence of various companies, job opportunities, higher salaries than in most other regions of the country, acclaimed universities, and highly developed infrastructure, Moscow is an attractive destination for both internal and international immigrants. In 2022, more than 940,000 Russian residents migrated to the Central Federal District of the country, where Moscow is located. From the international immigrants, the largest share comes from Central Asian countries.

Chart and table of population level and growth rate for the Kirov, Russia metro area from 1950 to 2025.

Population: Working Age: CF: City of Moscow data was reported at 7,539,518.000 Person in 2022. This records an increase from the previous number of 7,404,404.000 Person for 2021. Population: Working Age: CF: City of Moscow data is updated yearly, averaging 7,157,180.000 Person from Dec 1989 (Median) to 2022, with 34 observations. The data reached an all-time high of 7,539,518.000 Person in 2022 and a record low of 5,177,349.000 Person in 1989. Population: Working Age: CF: City of Moscow data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GA013: Population: Working Age: by Region.

Population: Rural: CF: City of Moscow data was reported at 0.000 Person in 2024. This stayed constant from the previous number of 0.000 Person for 2023. Population: Rural: CF: City of Moscow data is updated yearly, averaging 147,167.500 Person from Dec 2010 (Median) to 2024, with 14 observations. The data reached an all-time high of 220,771.000 Person in 2021 and a record low of 0.000 Person in 2024. Population: Rural: CF: City of Moscow data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GA012: Population: Rural: by Region.

Population: Urban: NW: City of St Petersburg data was reported at 5,645,943.000 Person in 2024. This records an increase from the previous number of 5,597,763.000 Person for 2023. Population: Urban: NW: City of St Petersburg data is updated yearly, averaging 4,921,117.500 Person from Dec 1989 (Median) to 2024, with 36 observations. The data reached an all-time high of 5,645,943.000 Person in 2024 and a record low of 4,656,474.000 Person in 2002. Population: Urban: NW: City of St Petersburg data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Global Database’s Russian Federation – Table RU.GA011: Population: Urban: by Region.

Results of the 2010 Complete Russian Federation population census. The main aim of the 2010 census was to find out the exact size of the population across all population centers in the country, ranging from “millionaires’ cities” to the very smallest villages that may have just one inhabitant. The 2010 census was conducted on the basis of the Federal All-Russian Population Census Act, which makes participation a civil and social obligation. The list of questions under the Act, on which population data are collected does not include a person’s family name, first name, or patronymic.

Due to the devastating impact of the Second World War on the Soviet population, the total population in 1950 was almost 15.5 million fewer than in 1940, which is a decrease of eight percent. In Russia (RSFSR), the largest of the Soviet states, the population difference was almost nine million people; also eight percent. It would take until 1955 for the populations of either the USSR or Russia to reach their pre-war levels, which was a decade after the conflict had ended. Urbanization Despite this drop in total population, industrialization and urbanization saw a significant change in the USSR's population distribution between the given years. The Soviet urban population increased by 6.3 million, or ten percent, between 1940 and 1950; 5.8 million of this was in Russia, which was a 15 percent increase. In contrast, the Soviet Union's rural population dropped by 21.8 million (a 17 percent change), 14.5 million of which in Russia (a decrease of 20 percent). In terms of overall population, the urban population of the USSR rose from 33 to 39 percent between 1940 and 1950, and from 34 to 43 percent in Russia. By 1955, 44 percent of the Soviet population, and 49 percent of the Russian population, lived in an urban setting.

The share of urban population in Russia stood at 75.33 percent in 2023. Between 1960 and 2023, the share rose by 21.6 percentage points, though the increase followed an uneven trajectory rather than a consistent upward trend.

1,434 (Thousand persons) in 2034.

99,40 (Gram) in 2016. Indicator is based on the results of the sample survey of households' budgets. Daily average consumption of proteins, fats and carbonhydrates containing in basic food by households' members is calculated by dividing total quantity of nutrients consumed by the number of members that were actually present (fed) in the household during the survey period.