The largest city in Finland is Helsinki with 684,018 inhabitants. Helsinki is the capital of Finland, and it is located in the south within the Uusimaa region. In 2024, the second largest city was Espoo, a city located in the Greater Helsinki metropolitan area, which had approximately 320,900 inhabitants. After the cities of Helsinki and Espoo, the third largest and most populous city outside the capital region was Tampere, with roughly 280,200 inhabitants. The Finnish population is highly concentrated in southern Finland The total population of Finland is roughly 5.64 million. Finland is one of the most sparsely populated countries in Europe, and the population is highly concentrated in the southern and southwestern parts of the country. Since 1915 the population of Finland grew steadily from 3.1 million to more than 5.64 million inhabitants. But the upwards trend slowed down in recent years. The median age of the Finnish population is rising While the population growth slowed down the Finnish population also got older. The media age increased from 38.4 years in 2000 to 43 years in 2024. The estimated median age for the Finnish population in 2035 was 45.3 years.

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

The most populous area in Finland is the capital region of Uusimaa, with almost 1.8 million inhabitants as of 2024. Almost one third of the 5.64 million population lived in the capital city and the surrounding Greater Helsinki area. The second-largest region in terms of population was Pirkanmaa, inhabited by 545,406 people. Three out of the ten largest cities located in Uusimaa The Uusimaa region also has Finland's highest population density with roughly 195.7 inhabitants per square kilometer. Pirkanmaa's population density is only 41.2 inhabitants per square meter. Out of the 10 largest cities in the country, three are located in the Uusimaa region, including the capital city Helsinki. Changing population structure The population of Finland is expected to grow in the following decade, reaching 6.18 million in 2050. However, the population is aging rapidly, as the number of inhabitants aged 75 years and older continues to increase in the future. At the same time, the population aged 14 and younger is estimated to constantly decline.

Neighborhood classification for the 20 biggest cities in Finland, created from 250x250 m grid cells and data on the type of most typical buildings, the construction year of the neighborhood, and information on whether the neighborhood belongs to a city center. Includes seven classes of neighborhood types: centers (ClassId 1), blocks of flats from the 1950s and before (ClassId 2), blocks of flats from the 1960s and 1970s (ClassId 3), blocks of flats from the1980s and 1990s (ClassId 4), blocks of flats from the 2000s (ClassId 5), low-rise neighborhoods built before the 2000s (ClassId 6), and low-rise neighborhoods built after 2000 (ClassId 7). Each separate neighbourhood has an unique identifier (NeighborhoodId).

View yearly updates and historical trends for Finland Population in the Largest City. Source: World Bank. Track economic data with YCharts analytics.

Finland FI: Population in Largest City: as % of Urban Population data was reported at 26.791 % in 2017. This records an increase from the previous number of 26.481 % for 2016. Finland FI: Population in Largest City: as % of Urban Population data is updated yearly, averaging 21.142 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 26.791 % in 2017 and a record low of 17.233 % in 1969. Finland FI: 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 Finland – Table FI.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;

Number of customers, services and costs of services with disabilities in the six largest cities in Finland since 2004.

Since 2017, the data has been combined with a comparison of mental disability care.

The examinations of the number of customers, services and costs of services for disabled persons in the six largest cities in Finland are limited to both services under the Act on Special Care for Persons with intellectual disabilities (519/1977) and services intended for persons with disabilities, focusing on those laid down in the Act on Services and Support Measures based on Disability (380/1987).

Persons with intellectual disabilities may receive priority services on the basis of, for example, the Social Welfare Act (1301/2014), the Child Care Act (36/1973) and the Health Care Act (1326/2010). Turku’s data includes services in accordance with the Social Welfare Act. Services are also provided to persons with intellectual disabilities on the basis of the Act on Disability Services and Support Measures (380/1987), and these services are included in the section of disability services. In addition, short-term care for persons with intellectual disabilities related to the holidays of informal care allowance (Act 937/2005 on support for informal care) is included in the data of Vantaa and Turku and in Espoo’s data concerning own activities and one service provider. In Helsinki and Tampere, informal care leave are involved in their own activities. Transport services are also examined in accordance with the Social Welfare Act (SHL, 1301/2014), as this service affects the use of transport services under the Disability Services Act.

The service packages included are personal assistance, outpatient care services (transport services, housing support services and work and day activities), 24-hour housing services, family care for people with intellectual disabilities and institutional care for people with intellectual disabilities.

The sixth cities are made up of the six most populous cities in Finland. The six cities in the order of the population include Helsinki, Espoo, Tampere, Vantaa, Turku and Oulu. The six working groups compare the social and health services of cities and early childhood education and care services. Data on customer numbers, performances, personnel and costs are mainly compiled from municipalities’ own information systems and financial statements. City experts agree on as uniform definitions as possible for data collection and implement the data collection in practice.

This statistic shows the average mobile broadband download speed in the ten largest cities based on population in Finland during February and March 2016, broken down by operator. During the period under survey, Elisa's average mobile broadband download speed in the ten largest cities was **** Mbit/s.

The number of clients, services and costs of social welfare services and specialised medical care for elderly people in the six largest cities in Finland in 2004-2021.

In the examination of the number of clients, services and costs of services for elderly people in the six largest cities, the use of statutory social and health services by elderly people is monitored. The services under review are home care, part-time care, support for informal care, medium and intensive care housing, nursing homes, outpatient care in primary health care, oral health care, basic health care at health centre hospitals, home hospital care and somatic and psychiatric special health care.

The Six Cities comprise the six largest cities in Finland by population. In the order of population, the Six Cities are Helsinki, Espoo, Tampere, Vantaa, Oulu and Turku. The Kuusikko working groups compare the health and social services, employment services and early childhood education services in the cities. The data on customer numbers, services, personnel and costs are mainly compiled from the municipalities’ own information systems and financial statements. Experts from the cities agree on the most uniform definitions for data collection and implement the data collection in practice.

These recommendations are intended as a general policy to be applied alongside the strategic policies, principles and guidelines that often guide ICT and service development in cities. From a technological and service-oriented standpoint, the significance of APis is, mostly due to accelerating digitalisation, increasing at such a pace that a need has emerged for a document that describes the importance of APIs and the goals related to them from the perspective of the cities.

This document presents the consolidated view of the Six largest cities in Finland on how to develop open APIs through inter-city cooperation. The Six cities are Helsinki, Espoo, Vantaa, Tampere, Turku and Oulu.

In 2021, 98 percent of the Finnish households in the capital region had an internet connection. The corresponding figure for households in other large cities was 91 percent, and for households in rural areas 88 percent.

Helsinki was the most expensive city to buy an apartment in Finland, with an average square meter price of ***** euros. In Jyväskylä, the most affordable city, the price was ***** euros per square meter.

This statistic shows the sales volume of beverages in Alko stores from in 2018, by region, measured in liters of pure alcohol. The sales volume was the highest in the region of Uusimaa, amounting to *** million liters of pure alcohol. Helsinki, the capital of Finland, as well as two other major Finnish cities Espoo and Vantaa are located in Uusimaa in the south of Finland. In the same year, Alko stores in the country's northernmost region, Lapland, sold *** thousand liters of alcoholic beverages, measured in pure alcohol.

The data addresses the dynamics of coexistence and conflict in increasingly diverse cities from a human-centred perspective. It was collected as part of the EU-funded project Coexistence and Conflict in the Age of Complexity (EmergentCommunity) in nine European cities in Finland, France, and Sweden. The dataset comprises of two parts: EmergentCommunityEthno (qualitative data) and EmergentCommunityVR (quantitative and qualitative data) that were collected during the project. In addition to these, desk research was conducted and these files have been included in the metadata description.

EmergentCommunityEthno (dataset 1):

Across the nine cities, participants consisted of people above 15-years of age, living in the studied urban neighbourhoods or using their public spaces. In Finland, data were collected in the neighbourhoods of Peltolammi and Multisilta in Tampere, in Malmi in Helsinki, and in Martti and Paavola in Hyvinkää. In Tampere, part of the data (n=31 interviews) was collected in collaboration with the EKOS research project (this part of the data is described and archived in the Finnish Social Science Data Archive, DoI: https://doi.org/10.60686/t-fsd3816). The second part of the data was collected in Sweden. The data collection sites there were the neighborhoods of Möllevången and Nydala in Malmö, Farsta and Rågsved in Stockholm, and Fröslunda and Årby in Eskilstuna. The French data were collected in the La Plaine area in Marseille; in La-Chapelle-Saint-Luc, Saint-Andre-Les-Vergers and Les Chartreux in Troyes; and in Guillotière in Lyon.

Across these sites shared methods were used in data collection, consisting of thematic interviews, walking interviews, and observations. The dataset emphasizes the diversity of experiences and the manifestations of distinctions in diverse urban environments and examines the ways in which people form bonds in relation to each other, their neighborhoods, and the broader society.

The first set of participants were located through social media groups (Facebook), from the premises of associations organizing community activities in the areas, libraries, cafes, community events, and youth centers. After this, snowball sampling was used, in addition to which targeted recruitment was applied if a population group represented in the area was completely missing from the dataset. Ethnographic observations were conducted in public spaces, community centres, cafés, stations, and shopping centres that were selected as potentially interesting places based on extant scholarship on living with difference and urban encounters. Here, attention was paid at how people used these sites, who were there and who were absent, as well as how people moved in and across the sites. Notes were made of what kinds of encounters, patterns of behaviour, cooperations, and conflicts occurred. These observations were made at various times of the day, to capture potential temporal changes. This resulted in a rich collection of fieldnotes, sketches, photographs, and movement maps.

Relevant files: 1) EmergentCommunity ethnographic matrix.pdf, 2) EmergentCommunityEthno interview questions.docx, 3) EmergentCommunity_metadata public.xlsx (contains all metadata from the project), 4) EmergentCommunityEthno_metadata.csv (contains metadata only on desk research, ethnographic interviews and fieldnotes).

EmergentCommunityVR (dataset 2):

Data collection was conducted in Helsinki, Marseille, and Malmö. The data was collected using 360-degree videos based on the aforementioned ethnographic data as stimuli to which participants were exposed. A separate video was created for each city, using specifically the data collected therein. We put together a mobile laboratory set-up that travelled to each city and collaborated with local NGOs whose premises were used as our laboratory space. The equipment and software used are explained in the document "EmergentCommunity mobile laboratory.pdf".

The inclusion criteria for participation were: being a major, healthy, not having hearing or vision impairments, being a resident in the city that the video depicted, and knowledge of the local language in which the video was executed. During the viewing of the video stimulus, participants' physiological responses were measured and their eye movements were tracked. VR eye tracking was used as it enables the precise analysis of gaze behaviour – such as fixations and saccades – within immersive, ecologically valid environments. Regarding physiological signals, the focus was on the electrical activity of the heart using electrocardiography (ECG), the electrical activity of the facial muscles using facial electromyography (fEMG), and the electrical conductivity of the skin using galvanic skin response (GSR). To complement the physiological data, a multimodal setup was established to assess the affective content of the stimulus in terms of arousal/valence, avoidance/approach, and unpredictability. After viewing, the participants were asked to evaluate the intensity of their emotional experience and to name the emotional reactions elicited by the video using a questionnaire carried out with Gorilla Experiment Builder. The questionnaire also contained background questions, from basic participant information, such as age and gender, to aspects that relate to diversity and inequality in contemporary societies: language, income, housing, education, political activity, participation, as well as political opinions and social values. After completing the measurements and the questionnaire, participants were interviewed about their experience and the thoughts it provoked, and they were asked to share information regarding their daily lives.

The purpose of the dataset was to help understand the formation of emotional experiences and the significance and functioning of emotions in the everyday life of increasingly diverse and unequal cities. The call for participation was distributed in several thematic Facebook groups (related to e.g., urban development, multiculturalism, neighborhood, local NGOs and minority communities) and via Instagram, as well as through flyers/posters in libraries, local associations, shopping centers, cafes, and on the project's Facebook page and Instagram profile. In the case of Marseille and Malmö, local assistants were used to spread the invitation within their networks and distribute participation invitation leaflets on the streets. In each city, it was possible for already registered participants to invite additional participants as well. Overall, the goal was to ensure the representativeness of the data in terms of age, gender, and minority status.

Relevant files: 1) EmergentCommunity video stimuli.pdf, 2) EmergentCommunityVR interview questions.pdf, 3) EmergentCommunityVR Gorilla questionnaires.pdf, 4) EmergentCommunity mobile laboratory.pdf, 5) EmergentCommunity_metadata public.xlsx (contains all metadata from the project), 6) EmergentCommunityVR interviews.csv (contains metadata on interviews done after watching the 360-degree video), 7) EmergentCommunityVR physio.csv (contains metadata on physiological measuring and questionnaires).

Purpose of the data

The EmergentCommunity project aimed at producing knowledge about what community means and how it is formed in increasingly diverse societies, as well as the conflicts and tensions that everyday life brings out. The project empirically examined the concrete challenges that societal changes produce for cities and coexistence. The aim was to identify how peaceful coexistence could be supported and population relations promoted in urban everyday life. The project emphasized that community relations and everyday coexistence are affective, social, and spatial phenomena, which is why a wide range of research methods from ethnography and observation to psychophysiological measurements and interviews were applied. These approaches were brought into dialogue through virtual reality by utilizing ethnography-based 360-degree videos depicting everyday life in the latter part of the project (EmergentCommunityVR). Thus, the project created new understanding of emotions formed in everyday life and produced unique knowledge in the fields of psychological and sociological emotion research. Bringing these areas together enabled a critical examination of the concept of community and the identification of the practices and ways in which communities are produced in the everyday life of diverse and unequal cities (see CORDIS database for public description, results, and reporting).

Throughout the data collection, the research focused on everyday life and the forms, practices, and interpretations of everyday coexistence in public urban spaces in the selected research neighbourhoods. Participants were also asked to share their experiences, interpretations, and views on societal change and how the change has been visible in their own neighborhoods and what thoughts and feelings it evokes in them. The data was formed through non-probability sampling (self-formed sample).

The research sites were selected by examining statistics, policy reports, and available data on demographic changes and diversity, income inequality, trends of residential and ethnic segregation in different countries and cities (desk research). We chose the countries and cities so that they would complement each other and that changes were observable in each selected context, although their forms, emphases, and manifestations might vary. After this extensive background review, we focused on the city level, complementing the available statistical data with news articles and reports and analyses related to urban areas and development. This allowed us to identify pockets of diversity and inequality within each city. Finally, study neighborhoods were selected based on them having undergone urban development projects, being targeted with anti-segregation measures, their residents' socio-economic

FI：最大城市人口在12-01-2017达1,259,875.000人，相较于12-01-2016的1,240,942.000人有所增长。FI：最大城市人口数据按年更新，12-01-1960至12-01-2017期间平均值为820,866.000人，共58份观测结果。该数据的历史最高值出现于12-01-2017，达1,259,875.000人，而历史最低值则出现于12-01-1960，为448,192.000人。CEIC提供的FI：最大城市人口数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的芬兰 – 表 FI.世界银行：人口和城市化进程统计。

This statistic shows the average mobile broadband download speed provided by the operator Sonera in the ten largest cities in Finland during February and March 2016, broken down by city. During the period under survey, Sonera's average mobile broadband download speed in Kouvola was **** Mbit/s.

This statistic shows the sales volume of white wines in Alko stores from in 2018, by region. The sales volume was the highest in the region of Uusimaa, amounting to ***** thousand liters. Helsinki, the capital of Finland, as well as two other major Finnish cities Espoo and Vantaa are located in Uusimaa in the south of Finland. In the same year, Alko stores in the country's northernmost region, Lapland, sold *** thousand liters of white wines.

The morbidity index is calculated using three register variables describing the morbidity of the population. These are the proportion of persons on disability pension among the working-age population, the proportion of the population entitled to special reimbursement medicines describing long-term illness, and the mortality rate of the population. The morbidity index is the average of these three factors.

The morbidity of the areas is proportioned either to the average morbidity of the whole of Helsinki (Table 1) or to the average of the whole country (Table 2). The aim of the index is to illustrate how healthy or sick the population of the area is in relation to the average population of the whole city (Helsinki = 100) or the whole country (Finland = 100). The index is calculated on an age-standardised basis, in which case the morbidity of the areas can be compared despite the differences in their age structures.

The index of national diseases, in turn, describes the prevalence of national diseases in the population of the region in relation to the average of the population of the whole city (Helsinki = 100) or the population of the whole country (Finland = 100). The index includes the seven largest diseases eligible for special reimbursable pharmacotherapy, which are here referred to as folk diseases. These include asthma, diabetes, rheumatoid arthritis, psychosis, coronary heart disease, heart failure and hypertension. The index is the average of these sub-indices.

Data from different years are not directly comparable.

Source of the Helsinki Region Illness Index 2017: Social Insurance Institution. Separate statistics made for the cities of Helsinki, Espoo and Vantaa on the morbidity index in Helsinki, Espoo and Vantaa by region in 2017.

Source of the Helsinki Illness Index 2019 data: Helsinki City Office. The source material is from Kela, but the indices have been calculated in Helsinki.

Source of the Helsinki Illness Index 2021 data: Helsinki City Office. The source data are from Kela and Statistics Finland. The indices have been calculated by the City of Helsinki.

This statistic shows the sales volume of vodka and spirits in Alko stores from in 2018, by region. The sales volume was the highest in the region of Uusimaa, amounting to roughly *** million liters. Helsinki, the capital of Finland, as well as two other major Finnish cities Espoo and Vantaa are located in Uusimaa in the south of Finland. In the same year, Alko stores in the country's northernmost region, Lapland, sold *** thousand liters of vodka and spirits.

This statistic shows the results of a survey on the share of people, who used a tablet computer for social media participation in Finland in 2017, broken down by residential area. During the period under survey, ** percent of people in large cities used a tablet computer for participating in social media.