Kyiv is the largest city of Ukraine, with approximately 2.95 million inhabitants as of January 1, 2022. Kharkiv had the second-largest population of around 1.42 million, followed by Odesa and Dnipro. Economic situation in Ukraine Ukraine has a population of around 42 million inhabitants - close to 70 percent of which live in urban areas, with almost three million living in Ukraine’s largest city and capital, Kyiv. The city is located in the north central part of the country on the Dnieper River and is one of the largest in Europe. The country’s second-largest city, Kharkiv, is about half of Kyiv's size and located in the northeast. Kharkiv was the first city to be occupied by the Soviet Union in 1917 until the collapse of the Soviet Union in 1991. Since the collapse, Ukraine has been largely divided between east and west. Many inhabitants speak Ukrainian to the west, whereas Russian is dominant in parts of the east and south. Like Kharkiv, many of Ukraine’s other biggest cities which have fewer than one million inhabitants are located to the east of the country – a region which has uprooted and displaced many of its inhabitants because of the military actions that started in 2014. In 2015, Ukrainians across the country were affected by a huge spike in inflation, which reached near 49 percent. In the following years, it marked a decrease, measuring below three percent in 2020. The country’s GDP has also been significantly impacted by the crisis, which has left approximately 1.5 million Ukrainians internally displaced since 2014, according to the United Nations High Commissioner for Refugees (UNHCR). The unemployment rate was above nine percent in 2020.

With a score of ****, Kyiv was the leading city for startups in Ukraine in 2024. Lviv followed, having earned a score of **** in the period observed. Furthermore, Ukraine's capital ranked fourth among the major cities 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.

Actual value and historical data chart for Ukraine Population In Largest City

Ukraine UA: Population in Largest City data was reported at 2,986,974.000 Person in 2017. This records an increase from the previous number of 2,965,625.000 Person for 2016. Ukraine UA: Population in Largest City data is updated yearly, averaging 2,557,524.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2,986,974.000 Person in 2017 and a record low of 1,163,046.000 Person in 1960. Ukraine UA: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ukraine – Table UA.World Bank: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

Population in the largest city (% of urban population) in Ukraine was reported at 11.35 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ukraine - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.

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/

Ukraine UA: Population in Largest City: as % of Urban Population data was reported at 9.499 % in 2017. This records an increase from the previous number of 9.425 % for 2016. Ukraine UA: Population in Largest City: as % of Urban Population data is updated yearly, averaging 7.403 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 9.499 % in 2017 and a record low of 5.826 % in 1960. Ukraine UA: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ukraine – Table UA.World Bank: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted Average;

The most significant number of Ukrainians in Poland was reported in April 2022. Of this figure, *** million stayed in the ** largest cities.

City Population Statistics
This dataset falls under the category Traffic Generating Parameters Population.
It contains the following data: The main demographic indicators of the city population in the dynamics since 2010 (population, sex and age structure, indicators of natural reproduction (fertility, mortality), migration, unemployment. Graphic display of indicators presented on the site : //dashboard.city-adm.lviv.ua/statystyka
This dataset was scouted on 2022-02-26 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. The data can be accessed using the following URL / API Endpoint: https://opendata.city-adm.lviv.ua/dataset/statystyka-naselennya-mista URL for data access and license information.

The twenty-first century is experiencing the emergence of secondary cities (small-to-medium-sized cities) as major growth areas, especially in low-and middle-income countries. Secondary cities experience rapid, unplanned, and informal growth patterns, creating water issues that influence human insecurity. The Department of State’s Secondary Cities Initiative generates geospatial data through field-based participatory mapping to assist secondary cities to prepare for sustainability issues such as water scarcity. This paper focuses on urban springs in Kharkiv, Ukraine, as an alternative water source during emergencies. These results show the spatial location and discharge of spring water aligns with the population distribution. Twenty-eight percent of people can meet minimum drinking-water requirements from spring water. These results demonstrate the importance of evaluating alternative water sources during times of emergency by using existing data, generating new data through field collection, and using remotely sensed data.

Russia launched its armed aggression against Ukraine in February 2014, seizing Crimea and subsequently occupying parts of the Donetsk and Luhansk oblasts of Ukraine. On February 24, 2022, Russia started a large-scale invasion of Ukraine on multiple fronts, deploying troops and shelling Ukrainian cities and infrastructure. As of the end of 2023 the war against Ukraine is still ongoing and its outcome is unknown. At different stages of the war, KIIS has studied the public opinion of the Ukrainian population regarding Russian aggression. It included surveys on people's attitudes towards the annexation of Crimea, and Ukraine's countermeasures in Eastern Ukraine (Anti-Terrorist Operation, ATO) covering the period from 2014 to 2018. Since 2022, public opinion polls have asked questions regarding people's feelings and opinions about the ongoing war between Ukraine and Russia, perceptions of the government's actions, readiness for concessions / compromises to end the war, etc. Data from individual surveys for the period 2014-2023 (14 in total) were combined into a merged dataset. Each of these polls is representative of the Ukraine's adult population (aged 18 and older), and typically includes about 2,000 respondents. The background information includes respondents' socio-demographic profiles (gender, age, education, nationality, occupation, self-assessment of financial situation) and place of residence (oblast, type of settlement). These data provide a snapshot of public opinion of the Ukrainian population on some aspects of the Russian-Ukrainian war. Some questions are repeated, which makes it possible to track changes in opinions over time.

The dataset contains available information about launched and shot down missiles and drones during russian massive missile and drone (UAV) strikes on infrastructure (since October 2022) as part of its invasion of Ukraine. The dataset also contains information about some single shot-down UAVs.

The dataset was created manually based on the official reports of Air Force Command of UA Armed Forces and General Staff of the Armed Forces of Ukraine published on social media such as Facebook or Telegram.
You can find a short data overview here.

In media (known)

Russian attacks on Ukraine double since Trump inauguration, by BBC News

Russia continues record-setting aerial attacks, US cuts off arms shipments to Ukraine, by USA Today

Operational Fires in the Age of Punishment, by Center for Strategic and International Studies

Sustained Russian Shahed Swarms: The War of Precision Mass Continues, by War Quants

Calculating the Cost-Effectiveness of Russia’s Drone Strikes, by Center for Strategic and International Studies

Missile Attacks Calendar, by Pavlo Krasnomovets

Putin bruker Vestens somling for alt det er verdt. De neste dagene blir helt avgjørende, by Aftenposten

Data

Table1. missile_attacks_daily.csv

• time_start- start attack time;
• time_end - end attack time;
• model - missile or UAV name;
• launch_place - city or region from which missiles were launched;
• target - could be a city in Ukraine, or a region of Ukraine, or a direction, or all of Ukraine;
• carrier - missile launch platform;
• launched - the number of launched missiles or UAVs, null means 'Unknown';
• destroyed - the number of destroyed missiles or UAVs, null means 'Unknown';
• not_reach_goal - the number of missiles or UAVs that have not reached the target (crashed), since July 2024.
  The possible reasons: (1) UAVs were lost on radars, (2) it is the imitators, (3) active counteraction of electronic warfare (EW) systems, (4) structural defects, (5) fuel exhaustion;
• border_crossing - the number of UAVs that crossed Ukraine and then crossed another border;
• still_attacking - the number of UAVs that were still attacking at the time of publishing the results;
• num_hit_location - number of locations with direct hits;
• num_fall_fragment_location - number of locations with hits of fall fragments of UAVs or missiles;
• affected_region - Ukraine regions (oblasts, cities, etc.) where missiles or UAVs hits were registered;
• destroyed_details - detailed information about the target (usually if there are more than 3 targets during the attack);
• launched_details - detailed information about the number of launched missiles or UAVs;
• launch_place_details - detailed information about launch_place;
• source - information source (mainly official Facebook posts, sometimes with corrections from Monitor and Monitorwar Telegram Channels).

Table2. missiles_and_uavs.csv

• model - missile or UAV name;
• category - type of missile or UAV;
• national_origin - manufacturer country;
• type - subtype of missile or UAV;
• launch_platform - launch platform;
• name - official name;
• name_NATO - official name by NATO;
• in_service - year of start of production;
• designer - company-designer;
• manufacturer - company-manufacturer;
• guidance_system - guidance system;
• unit_cost - one unit cost.

Column launch_place

Abstract

The Household Living Conditions Survey has been carried out annually since 1999 by the State Statistics Service of Ukraine (formerly the State Statistics Committee of Ukraine). The survey is based on generally accepted international standards and depicts social and demographic situation in Ukraine.

From 2002, items of consumer money and aggregate expenditures have been developed in line with the International Classification of Individual Consumption of Goods and Services (COICOP-HBS), recommended by Eurostat.

From 2004, the State Statistics Service of Ukraine has been implementing a new system of household sample survey organization and delivery. A unified interviewer network was established to run simultaneously three household surveys: Household Living Conditions Survey, households' economic activity survey and the survey of household farming in rural areas. A new national territorial probability sampling was introduced to deliver the three sampling surveys in 2004-2008.

Geographic coverage

National, except some settlements within the territories suffered from the Chernobyl disaster.

Analysis unit

• Households,
• Individuals.

A household is a totality of persons who jointly live in the same residential facilities of part of those, satisfy all their essential needs, jointly keep the house, pool and spend all their money or portion of it. These persons may be relatives by blood, relatives by law or both, or have no kinship relations. A household may consist of one person (Law of Ukraine "On Ukraine National Census of Population," Article 1). As only 0.50% households have members with no kinship relations (0.65% total households if bachelors are excluded), the contemporary concepts "household" and "family" are very close.

Universe

Whole country, all private households. The survey does not cover collective households, foreigners temporarily living in Ukraine as well as the homeless.

Kind of data

Sample survey data [ssd]

Sampling procedure

12,977 households representing all regions of Ukraine (including 8,975 in urban areas and 4,002 in rural areas) are selected for this survey. Grossing up sample survey results to all households of Ukraine is done by the statistic weighting method.

Building a territorial sample, researchers excluded settlements located in the excluded zone (Zone 1) and unconditional (forced) resettlement zone (Zone 2) within the territories suffered from the Chernobyl disaster.

Computing the number of population subject to surveying, from the number of resident population researchers excluded institutional population - army conscripts, persons in places of confinement, residents of boarding schools and nursing homes, - and marginal population (homeless, etc).

The parent population was stratified so that the sample could adequately represent basic specifics of the administrative and territorial division and ensure more homogeneous household populations. To achieve this objective, the parent population was divided into strata against the regions of Ukraine. In each stratum three smaller substrata were formed: urban settlements (city councils) having 100,000 or more inhabitants (big cities), urban settlements (city councils) having less than 100,000 inhabitants (small towns) and all districts (except city districts), i.e. administrative districts in rural areas. Sample size was distributed among strata and substrata in proportion to their non-institutional resident population.

Detailed information about selecting primary territorial units of sampling (PTUS) and households is available in the document "Household Living Conditions Survey Methodological Comments" (p. 4-7).

Mode of data collection

Face-to-face [f2f]

Research instrument

The HLCS uses the following survey tools:

1) Main interviews

Main interview questionnaires collect general data on households, such as household composition, housing facilities, availability and use of land plots, cattle and poultry, characteristics of household members: anthropometric data, education, employment status. Interviewing of households takes place at the survey commencement stage. In addition, while interviewing, the interviewer completes a household composition check card to trace any changes during the entire survey period.

2) Observation of household expenditures and incomes

For the observation, two tools are used: - Weekly diary of current expenditures. It is completed directly by a household twice a quarter. In the diary respondents (households) record all daily expenditures in details (e.g. for purchased foodstuffs - product description, its weight and value, and place of purchase). In addition, a household puts into the diary information on consumption of products produced in private subsidiary farming or received as a gift.

Households are evenly distributed among rotation groups, who complete diaries in different week days of every quarter. Assuming that the two weeks data are intrinsic for the entire quarter, the single time period of data processing (quarter) is formed by means of multiplying diary data by ratio 6.5 (number of weeks in a quarter divided on the number of weeks when diary records were made). Inclusion of foodstuffs for long-time consumption is done based on quarterly interview data.

• Quarterly questionnaire. It is used to interview households in the first month following the reporting quarter. Researchers collect data on large and irregular expenditures, in particular those relating to the purchase of foodstuffs for long-time consumption (e.g. sacks, etc.), and also data on household incomes. Since recalling all incomes and expenditures made in a quarter is uneasy, households make records during a quarter in a special quarterly expenditures log.

The major areas for quarterly observation are the following: - structure of consumer financial expenditures for goods and services; - structure of other expenditures (material aid to other households, expenditures for private subsidiary farming, purchase of real estate, construction and major repair of housing facilities and outbuildings, accumulating savings, etc); - importance of private subsidiary farming for household welfare level (receipt and use of products from private subsidiary farming for own consumption, financial income from sales of such products, etc.); - structure of income and other financial sources of a household. We separately study the income of every individual household member (remuneration of labor, pension, scholarship, welfare, etc.) and the income in form payments to a household as a whole (subsidies for children, aid of relatives and other persons, income from - sales of real estate and property, housing and utility subsidies, use of savings, etc.).

3) Single-time topical interviews

Single-time topical interviews questionnaires are used quarterly and cover the following topics: - household expenditures for construction and repair of housing facilities and outbuilding - availability of durable goods in a household - assessment by households members of own health and accessibility of selected medical services - self-assessment by a household of adequacy of its income - household's access to Internet

In 2022, over *** thousand refugees from Ukraine were given shelter in private flats or houses in ** major cities in Poland.

As of April 1, 2022, the most significant number of Ukrainians was recorded in Rzeszów — about ** percent. The largest city in Poland, Warsaw, had ** percent of Ukrainians, as did Szczecin.

Llc Selton Ukraine 04074 Kyiv City Street Reservna Building 29 Import Export Turnover 0.27 and 0.34 USD Million during August 2024 to July 2025. Also check supply chain analytics, top import and export commodities with price, buyers, suppliers, main competitors of Llc Selton Ukraine 04074 Kyiv City Street Reservna Building 29 in Ukraine.

Among Ukraine's selected cities, Lviv had the largest office space vacancy rate, at **** percent as of the third quarter of 2021. To compare, the capital Kyiv had **** percent of its office stock available.

In 2022, Warsaw was the most populated city in Poland by Ukrainian refugees, amounting to over *** thousand Ukrainian nationals and ** thousand children.

Abstract

The Household Living Conditions Survey has been carried out annually since 1999 by the State Statistics Service of Ukraine (formerly the State Statistics Committee of Ukraine). The survey is based on generally accepted international standards and depicts social and demographic situation in Ukraine.

From 2002, items of consumer money and aggregate expenditures have been developed in line with the International Classification of Individual Consumption of Goods and Services (COICOP-HBS), recommended by Eurostat.

The State Statistics Service of Ukraine has been implementing a new system of household sample survey organization and delivery from 2004. A unified interviewer network was established to run simultaneously three household surveys: Household Living Conditions Survey, households' economic activity survey and the survey of household farming in rural areas. A new national territorial probability sampling was introduced to deliver the three sampling surveys in 2004-2008.

Geographic coverage

National, except some settlements within the territories suffered from the Chernobyl disaster.

Analysis unit

• Households,
• Individuals.

A household is a totality of persons who jointly live in the same residential facilities of part of those, satisfy all their essential needs, jointly keep the house, pool and spend all their money or portion of it. These persons may be relatives by blood, relatives by law or both, or have no kinship relations. A household may consist of one person (Law of Ukraine "On Ukraine National Census of Population," Article 1). As only 0.50% households have members with no kinship relations (0.65% total households if bachelors are excluded), the contemporary concepts "household" and "family" are very close.

Universe

Whole country, all private households. The survey does not cover collective households, foreigners temporarily living in Ukraine as well as the homeless.

Kind of data

Sample survey data [ssd]

Sampling procedure

12,977 households representing all regions of Ukraine (including 8,975 in urban areas and 4,002 in rural areas) are selected for this survey. Grossing up sample survey results to all households of Ukraine is done by the statistic weighting method.

Building a territorial sample, researchers excluded settlements located in the excluded zone (Zone 1) and unconditional (forced) resettlement zone (Zone 2) within the territories suffered from the Chernobyl disaster.

Computing the number of population subject to surveying, from the number of resident population researchers excluded institutional population - army conscripts, persons in places of confinement, residents of boarding schools and nursing homes, - and marginal population (homeless, etc).

The parent population was stratified so that the sample could adequately represent basic specifics of the administrative and territorial division and ensure more homogeneous household populations. To achieve this objective, the parent population was divided into strata against the regions of Ukraine. In each stratum three smaller substrata were formed: urban settlements (city councils) having 100,000 or more inhabitants (big cities), urban settlements (city councils) having less than 100,000 inhabitants (small towns) and all districts (except city districts), i.e. administrative districts in rural areas. Sample size was distributed among strata and substrata in proportion to their non-institutional resident population.

Detailed information about selecting primary territorial units of sampling (PTUS) and households is available in the document "Household Living Conditions Survey Methodological Comments" (p. 4-7).

Mode of data collection

Face-to-face [f2f]

Research instrument

The HLCS uses the following survey tools:

1) Main interviews

Main interview questionnaires collect general data on households, such as household composition, housing facilities, availability and use of land plots, cattle and poultry, characteristics of household members: anthropometric data, education, employment status. Interviewing of households takes place at the survey commencement stage. In addition, while interviewing, the interviewer completes a household composition check card to trace any changes during the entire survey period.

2) Observation of household expenditures and incomes

For the observation, two tools are used: - Weekly diary of current expenditures. It is completed directly by a household twice a quarter. In the diary respondents (households) record all daily expenditures in details (e.g. for purchased foodstuffs - product description, its weight and value, and place of purchase). In addition, a household puts into the diary information on consumption of products produced in private subsidiary farming or received as a gift.

Households are evenly distributed among rotation groups, who complete diaries in different week days of every quarter. Assuming that the two weeks data are intrinsic for the entire quarter, the single time period of data processing (quarter) is formed by means of multiplying diary data by ratio 6.5 (number of weeks in a quarter divided on the number of weeks when diary records were made). Inclusion of foodstuffs for long-time consumption is done based on quarterly interview data.

• Quarterly questionnaire. It is used to interview households in the first month following the reporting quarter. Researchers collect data on large and irregular expenditures, in particular those relating to the purchase of foodstuffs for long-time consumption (e.g. sacks, etc.), and also data on household incomes. Since recalling all incomes and expenditures made in a quarter is uneasy, households make records during a quarter in a special quarterly expenditures log.

The major areas for quarterly observation are the following: - structure of consumer financial expenditures for goods and services; - structure of other expenditures (material aid to other households, expenditures for private subsidiary farming, purchase of real estate, construction and major repair of housing facilities and outbuildings, accumulating savings, etc); - importance of private subsidiary farming for household welfare level (receipt and use of products from private subsidiary farming for own consumption, financial income from sales of such products, etc.); - structure of income and other financial sources of a household. We separately study the income of every individual household member (remuneration of labor, pension, scholarship, welfare, etc.) and the income in form payments to a household as a whole (subsidies for children, aid of relatives and other persons, income from - sales of real estate and property, housing and utility subsidies, use of savings, etc.).

3) Single-time topical interviews

Single-time topical interviews questionnaires are used quarterly and cover the following topics: - household expenditures for construction and repair of housing facilities and outbuilding - availability of durable goods in a household - assessment by households members of own health and accessibility of selected medical services - self-assessment by a household of adequacy of its income - household's access to Internet

In 2022, the number of Polish residents who took refugees from Ukraine while sharing the place with them or hosting them in another place was the highest in Warsaw, reaching **** thousand Poles—followed by, Wrocław with **** thousand residents from Poland. In total, over *** thousand residents of ** major Polish cities took refugees from Ukraine, ** per 1000 residents aged 18 or older.