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.

Among Russian cities with more than one million inhabitants, the country's capital Moscow received the highest urban environmental quality index score of *** out of 360 points in 2024, 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 Kazan ranked third.

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The "Russian Cities Distance Dataset" is a comprehensive collection of distance data between major cities in Stavropol region in Russia, designed to facilitate pathfinding and optimization tasks. This connected dataset includes information about the distances (in kilometres) between pairs of cities, allowing users to calculate the shortest paths and optimize routes for various purposes.

Key features of this dataset

City Connections: The dataset provides connectivity information between all cities of the Stavropol region, making it an invaluable resource for route planning, navigation, and logistics optimization.

Distance Data: Each entry in the dataset includes the distance in kilometres between two cities. The distances have been curated to reflect the actual road or travel distances between these locations.

A* Search Algorithm: This dataset is ideal for use with the A* (A-star) search algorithm, a widely used optimization and pathfinding algorithm. The A* algorithm can help find the shortest and most efficient routes between cities, making it suitable for applications in transportation, tourism, and urban planning.

City Pairings: The dataset covers pairs of cities, enabling users to calculate the shortest paths and travel distances between any two cities included in the dataset.

Dataset

This dataset was created by bluetrain

Released under CC0: Public Domain

Contents

With a score of *****, Moscow was the leading city for startups in Russia in 2024. Saint Petersburg followed, having earned a score of **** 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.

Among Russian cities with 250,000 to one million inhabitants, Tyumen received the highest urban environmental quality index score of *** out of 360 points in 2024, based on six criteria and six types of area. Ryazan and Yaroslavl followed with scores of *** and *** points, respectively.

Actual value and historical data chart for Russia Population In The Largest City Percent Of Urban Population

This database provides 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, 2020 for more details) thus, changing a city position in a global urban hierarchy. 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 constructed Russian 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.

About this dataset

Context

This list ranks the 19,348 cities in the United States by Russian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Russian Population: This column displays the rank of city in the United States by their Russian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Russian Population: The Russian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Russian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total United States Russian Population: This tells us how much of the entire United States Russian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

Moscow had nearly ** CCTV cameras per 1,000 inhabitants in 2023. In total, ******* such devices were recorded in the Russian capital. The second-largest city of the country, Saint Petersburg, recorded a density of approximately **** surveillance cameras per 1,000 population.

Moscow had the highest public transportation quality index among Russian cities, at around **** points in the third quarter of 2023. It was followed by Saint Petersburg and Perm with approximately **** and **** 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.

About this dataset

Context

This list ranks the 1 cities in the Major County, OK by Russian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Russian Population: This column displays the rank of city in the Major County, OK by their Russian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Russian Population: The Russian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Russian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Major County Russian Population: This tells us how much of the entire Major County, OK Russian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

This list ranks the 670 cities in the Ohio by Russian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Russian Population: This column displays the rank of city in the Ohio by their Russian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Russian Population: The Russian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Russian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Ohio Russian Population: This tells us how much of the entire Ohio Russian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

In June 2024, the Russian capital remained an irreplaceable leader among the cities with over one million inhabitants by price of primary housing per square meter countrywide. One square meter in Moscow's primary housing market cost ******* Russian rubles in that month.

Context

The Russian invasion of Ukraine started on February 24, 2022. Attacks by Russian forces were reported in major cities across Ukraine, including Berdyansk, Chernihiv, Kharkiv, Odesa, Sumy, and the capital Kyiv. Western officials claimed that by scope, the war could be the largest in Europe since 1945. The Office of the United Nations High Commissioner for Human Rights (OHCHR) verified over 5.7 thousand deaths of civilians in Ukraine during the war as of September 2022.

The invasion caused Europe's largest refugee crisis since World War II, with over 7.2 million Ukrainians fleeing the country and a third of the population displaced. The refugees of the war mostly fled to the neighboring countries of Ukraine located in Central and Eastern Europe, prominently the nations of Poland, Hungary, Romania, Slovakia, Belarus, Republic of Moldova and Russia as well. With the situation in the regions of Ukraine changing, it is important to keep a general record regarding where the refugees are located, to provide better assistance to them and the concerned authorities.

About the dataset

This dataset contains information about the number of Ukrainian refugees that a neighboring country is housing at different points in time, starting from early March. The countries that mostly feature in the data are obviously the ones mentioned before that share borders with the nation of Ukraine. Each record mentions the country, the date of recording, the number of refugees in that country, and geospatial data of the particular region which could help in some useful geographical analysis. The consecutive entries for one country seem to be not more than a week apart at any given time. United Nations High Commissioner for Refugees (UNHCR) and local governments are the main sources.

This file was extracted using an API about war data from RapidAPI. I will also provide regular updates to this dataset whenever I find any. I am still new to this technique of extraction so any feedback would be highly appreciated.

Inspiration

The war has inflicted large scale damage on many different communities and I believe the data science community has the knowledge and resources of providing help. I believe all data enthusiasts learn about data science to help in solving real world problems that society faces and providing aid during times of humanitarian crises would be influential work of the highest order.

Visit this link if you wish to donate or provide other support to the efforts in Ukraine: https://stand-with-ukraine.pp.ua/

Russia Number of Foreign Capital Enterprises: BM: CF: City of Moscow data was reported at 4,047.000 Unit in Dec 2016. This records an increase from the previous number of 3,882.000 Unit for Sep 2016. Russia Number of Foreign Capital Enterprises: BM: CF: City of Moscow data is updated quarterly, averaging 3,473.000 Unit from Jun 2000 (Median) to Dec 2016, with 67 observations. The data reached an all-time high of 4,751.000 Unit in Dec 2012 and a record low of 2,046.000 Unit in Mar 2014. Russia Number of 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.OE001: Number of Foreign Capital Enterprises: Big and Medium: by Region (Discontinued).

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

This list ranks the 2 cities in the Big Stone County, MN by Russian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Russian Population: This column displays the rank of city in the Big Stone County, MN by their Russian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Russian Population: The Russian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Russian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Big Stone County Russian Population: This tells us how much of the entire Big Stone County, MN Russian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

About this dataset

Context

This list ranks the 1 cities in the Richmond city, VA by Russian population, as estimated by the United States Census Bureau. It also highlights population changes in each city over the past five years.

Content

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

• 2019-2023 American Community Survey 5-Year Estimates
• 2014-2018 American Community Survey 5-Year Estimates
• 2009-2013 American Community Survey 5-Year Estimates

Variables / Data Columns

• Rank by Russian Population: This column displays the rank of city in the Richmond city, VA by their Russian population, using the most recent ACS data available.
• City: The City for which the rank is shown in the previous column.
• Russian Population: The Russian population of the city is shown in this column.
• % of Total City Population: This shows what percentage of the total city population identifies as Russian. Please note that the sum of all percentages may not equal one due to rounding of values.
• % of Total Richmond city Russian Population: This tells us how much of the entire Richmond city, VA Russian population lives in that city. Please note that the sum of all percentages may not equal one due to rounding of values.
• 5 Year Rank Trend: This column displays the rank trend across the last 5 years.

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/.

Loss Amount: Big & Medium Enterprises: Year to Date: CF: City of Moscow data was reported at 1,312,888.000 RUB mn in Jul 2023. This records an increase from the previous number of 1,135,790.000 RUB mn for Jun 2023. Loss Amount: Big & Medium Enterprises: Year to Date: CF: City of Moscow data is updated monthly, averaging 211,985.124 RUB mn from May 2000 (Median) to Jul 2023, with 279 observations. The data reached an all-time high of 2,238,059.000 RUB mn in Dec 2022 and a record low of 2,481.000 RUB mn in Jan 2001. Loss Amount: Big & Medium Enterprises: Year to Date: 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.OD008: Enterprises Balance (Profit less Loss): Big and Medium: ytd: Loss: by Region.