Russia's capital, Moscow, was the largest city in the country with over 13.1 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 12.8 million by 2035. Urbanization in Russia In 2024, around 109 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 85 percent. In the Central Federal District, the tendency was that more people moved to Moscow and cities in the Moscow Oblast.

Among Russian cities with more than one million inhabitants, the country's capital Moscow received the highest urban environmental quality index score of 304 out of 360 points in 2023, based on six criteria and six types of area. The second-leading city in this category was Saint Petersburg, Russia's second-largest city, while Nizhny Novgorod, ranked third.

Among Russian cities with 100,000 to 250,000 inhabitants, Reutov, located in the Moscow Oblast, received the highest urban environmental quality index score of 273 out of 360 points in 2023, based on six criteria and six types of area. The second-leading city in this category was Krasnogorsk.

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

With a score of 23.62, Moscow was the leading city for startups in Russia in 2024. Saint Petersburg followed, having earned a score of 1.66 in the period observed. Furthermore, the Russia's capital ranked the major city for startups in Central and Eastern Europe (CEE). The score was based on several indicators, such as the number of startups in each city, the startups' qualitative results, and the cities' business and economic indicators.

On Sunday, September 12, 2021, the highest self-isolation index among Russian cities with over one million inhabitants was measured in Omsk at 2.8 points, indicating that there was a high number of people on the streets. In the capital Moscow, where most COVID-19 cases in Russia were recorded, the index reached two points. The non-working period in Russia ended on May 12, 2020.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

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.

As of September 2020, Moscow had the biggest amount of public routes, among which the largest number was accounted for bus routes and tram lines. The Russian northern capital Saint Petersburg, followed next with a total number of 838 routes of public transport.

Russia Number of Employees: Foreign Capital Enterprises: BM: CF: City of Moscow data was reported at 545.700 Person th in Dec 2016. This records an increase from the previous number of 542.000 Person th for Sep 2016. Russia Number of Employees: Foreign Capital Enterprises: BM: CF: City of Moscow data is updated quarterly, averaging 514.800 Person th from Jun 2000 (Median) to Dec 2016, with 67 observations. The data reached an all-time high of 681.200 Person th in Dec 2012 and a record low of 146.000 Person th in Jun 2000. Russia Number of Employees: Foreign Capital Enterprises: BM: CF: City of Moscow data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Investment – Table RU.OE002: Number of Employees in Foreign Capital Enterprises: Big and Medium: by Region (Discontinued).

Moscow was the leading city in the secondary housing market in Russia by price per square meter in June 2024. The price of an apartment on the secondary market in the capital stood at 333,000 Russian rubles per square meter, which was around 64 percent higher than the price level in Saint Petersburg.

About this dataset

Context

The dataset tabulates the Russia median household income by race. The dataset can be utilized to understand the racial distribution of Russia income.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Russia, OH median household income breakdown by race betwen 2011 and 2021
• Median Household Income by Racial Categories in Russia, OH (2021, in 2022 inflation-adjusted dollars)

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Russia median household income by race. You can refer the same here

Among Russian cities with 250,000 to one million inhabitants, Yaroslavl, Khimki, and Mytishchi received the highest urban environmental quality index score of 251 out of 360 points in 2023, based on six criteria and six types of area. Tyumen and Belgorod followed with 250 points.

Chart and table of population level and growth rate for the Moscow, Russia metro area from 1950 to 2025. United Nations population projections are also included through the year 2035.

The 2014 Arctic Human Development Report identified “Arctic settlements, cities, and communities” as one of the main gaps in knowledge of the region. This research looks at circumpolar urbanization trends, with a special focus on Russia.

About this dataset

Context

The dataset tabulates the median household income in Russia. It can be utilized to understand the trend in median household income and to analyze the income distribution in Russia by household type, size, and across various income brackets.

Content

The dataset will have the following datasets when applicable

Please note: The 2020 1-Year ACS estimates data was not reported by the Census Bureau due to the impact on survey collection and analysis caused by COVID-19. Consequently, median household income data for 2020 is unavailable for large cities (population 65,000 and above).

• Russia, OH Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars)
• Median Household Income Variation by Family Size in Russia, OH: Comparative analysis across 7 household sizes
• Income Distribution by Quintile: Mean Household Income in Russia, OH
• Russia, OH households by income brackets: family, non-family, and total, in 2022 inflation-adjusted dollars

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Interested in deeper insights and visual analysis?

Explore our comprehensive data analysis and visual representations for a deeper understanding of Russia median household income. You can refer the same here

About this dataset

Context

The dataset presents the median household incomes over the past decade across various racial categories identified by the U.S. Census Bureau in Russia. It portrays the median household income of the head of household across racial categories (excluding ethnicity) as identified by the Census Bureau. It also showcases the annual income trends, between 2011 and 2021, providing insights into the economic shifts within diverse racial communities.The dataset can be utilized to gain insights into income disparities and variations across racial categories, aiding in data analysis and decision-making..

Key observations

• White: In Russia, the median household income for the households where the householder is White increased by $15,148(25.42%), between 2011 and 2021. The median household income, in 2022 inflation-adjusted dollars, was $59,595 in 2011 and $74,743 in 2021.
• Black or African American: Even though there is a population where the householder is Black or African American, there was no median household income reported by the U.S. Census Bureau for both 2011 and 2021.
• Refer to the research insights for more key observations on American Indian and Alaska Native, Asian, Native Hawaiian and Other Pacific Islander, Some other race and Two or more races (multiracial) households

https://i.neilsberg.com/ch/russia-oh-median-household-income-by-race-trends.jpeg" alt="Russia, OH median household income trends across races (2011-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race of the head of household: This column presents the self-identified race of the household head, encompassing all relevant racial categories (excluding ethnicity) applicable in Russia.
• 2010: 2010 median household income
• 2011: 2011 median household income
• 2012: 2012 median household income
• 2013: 2013 median household income
• 2014: 2014 median household income
• 2015: 2015 median household income
• 2016: 2016 median household income
• 2017: 2017 median household income
• 2018: 2018 median household income
• 2019: 2019 median household income
• 2020: 2020 median household income
• 2021: 2021 median household income
• 2022: 2022 median household income
• Please note: 2020 1-Year ACS estimates data was not reported by Census Bureau due to impact on survey collection and analysis during COVID-19, thus for large cities (population 65,000 and above) median household income data is not available.
• Please note: All incomes have been adjusted for inflation and are presented in 2022-inflation-adjusted dollars.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Russia median household income by race. You can refer the same here

Despite that Moscow accounted for the largest sporting goods online sales share, the highest consumption index of sporting goods in Russia was measured in Krasnodar. To compare, Moscow listed in the fourth place.

Nearly three out of ten children aged 7 to 15 years in Russian cities with over one million inhabitants reported attending online classes outside their main school program in October 2022. This share was approximately the same for 1-to-4 graders and for 5-to-9 graders in the country.

The correspondence study has now become a standard method of measuring discrimination in the labour market. For the first time in the literature, we present a correspondence study of ethnic discrimination in Russia. A sample of over 9,000 job applications makes it one of the largest such studies ever conducted. We include 10 ethnic groups and run the experiment in four Russian cities, whose populations have varying ethnic compositions. Ethnic preferences of Russian employers are different across locations. In Moscow and St Petersburg, employers treat applications from ethnic Russians and ethnic groups of European origin (Germans, Jews, and Ukrainians) in about the same way. Visible minorities of Southern origin are discriminated against. Men from ethnic groups of Southern origin experience stronger discrimination than women. In Kazan and Ufa, two cities with ethnically mixed populations, and in which indigenous ethnic groups have a privileged status, all applicants are treated about equally. We discuss the effects, on discrimination, of ethnic autonomy and of the ethnic composition of a population; these effects may apply to other ethnic federations beyond the Russian case.

Moscow had the highest public transportation quality index among Russian cities, at around 82.3 points in the third quarter of 2023. It was followed by Saint Petersburg and Perm with approximately 75.4 and 71.5 index points, respectively. The average trip price, comfort, convenience, and public transport network's efficiency were taken into account while comprising indexes for each city.