As of 2023, roughly 5.03 million out of Finland's total population of 5.6 million were of Finnish origin. After Finnish and European origins, the largest inhabitant groups in Finland were of Asian and African origin.

As of 2024, roughly 5.01 million out of Finland's total population of 5.64 million were of Finnish origin. The majority of non-Finnish inhabitants were immigrants from Europe including Cyprus and Turkey. Around 305,300 inhabitants were of European origin, followed by 212,481 inhabitants of Asian origin.

The total population in Finland was estimated at 5.6 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Finland Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The survey, commissioned by the newsmagazine Suomen Kuvalehti, charted attitudes in Finland towards immigrants from different countries as well as beliefs about race. First, the respondents were asked to state their position on a scale from 0 to 10, where 10 indicated they hoped that Finland would be populated as much as possible by people of Finnish origin sharing the national values, and 0 that they hoped Finland would be populated as much as possible by people from a diversity of countries and ethnic backgrounds. Next, opinions were studied regarding how desirable or undesirable the respondents thought it was that immigrants of certain nationalities would come to Finland. The nationalities mentioned were Swedes, Germans, Russians, Estonians, US Americans, Somalis, Kosovars, Iraqis, Afghans, Syrians, Chinese, Thai and Ukrainians. The respondents were also asked to what extent they agreed with the following four statements: 'The mental abilities of black Africans are lower than those of white people living in Western countries', ' All people have equal value regardless of the colour of their skin or ethnic background', 'The white European race should be prevented from being mixed with darker races because otherwise the original population of Europe will become extinct before long ', and 'There is no such thing as 'race' since all human beings are genetically very much alike'. One question studied whether the respondents thought the Finnish media reported more negatively or positively on the Perussuomalaiset party (the Finns Party) than on the other political parties. Background variables included the respondent's gender, age, region of residence (NUTS3), major region of residence (NUTS2), city or type of municipality, education, occupational status and economic activity, household composition, number and ages of children living at home, total gross annual income of the household, and type of housing.

As of 2024, approximately 5.22 million inhabitants in Finland were Finnish citizens, while around 411,100 had a foreign nationality. Over the shown period, the non-Finnish population increased by roughly 191,400.

Finland FI: Population: Growth data was reported at 0.291 % in 2017. This records an increase from the previous number of 0.287 % for 2016. Finland FI: Population: Growth data is updated yearly, averaging 0.399 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 0.781 % in 1960 and a record low of -0.379 % in 1970. Finland FI: Population: Growth 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.WDI: Population and Urbanization Statistics. Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Finland FI: Population: Total data was reported at 5,511,303.000 Person in 2017. This records an increase from the previous number of 5,495,303.000 Person for 2016. Finland FI: Population: Total data is updated yearly, averaging 4,955,426.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 5,511,303.000 Person in 2017 and a record low of 4,429,634.000 Person in 1960. Finland FI: Population: Total 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.WDI: Population and Urbanization Statistics. Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Sum; Relevance to gender indicator: disaggregating the population composition by gender will help a country in projecting its demand for social services on a gender basis.

This dataset tracks annual two or more races student percentage from 2013 to 2023 for Finland Elementary School vs. Ohio and South-Western City School District

Finland FI: Birth Rate: Crude: per 1000 People data was reported at 9.600 Ratio in 2016. This records a decrease from the previous number of 10.100 Ratio for 2015. Finland FI: Birth Rate: Crude: per 1000 People data is updated yearly, averaging 12.800 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 18.500 Ratio in 1960 and a record low of 9.600 Ratio in 2016. Finland FI: Birth Rate: Crude: per 1000 People 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.WDI: Population and Urbanization Statistics. Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Finland FI: Population: Ages 0-14: % of Total Population data was reported at 12.550 % in 2021. This records a decrease from the previous number of 12.790 % for 2020. Finland FI: Population: Ages 0-14: % of Total Population data is updated yearly, averaging 14.870 % from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 17.040 % in 1990 and a record low of 12.550 % in 2021. Finland FI: Population: Ages 0-14: % of Total Population data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Finland – Table FI.OECD.GGI: Social: Demography: OECD Member: Annual.

Historical Dataset of Finland Middle School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1990-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1990-2023),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1999-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1992-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2002-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Science Proficiency Comparison Over Years (2021-2022),Overall School Rank Trends Over Years (2011-2022)

Finland FI: Death Rate: Crude: per 1000 People data was reported at 9.800 Ratio in 2016. This records an increase from the previous number of 9.600 Ratio for 2015. Finland FI: Death Rate: Crude: per 1000 People data is updated yearly, averaging 9.500 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 10.100 Ratio in 1993 and a record low of 9.000 Ratio in 1982. Finland FI: Death Rate: Crude: per 1000 People 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.WDI: Population and Urbanization Statistics. Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

In both Denmark, Finland, and Sweden, people aged 70 years or more made up the largest age group in 2023. This is especially the case in Finland and Sweden, with ******* and *** million people in this age group, respectively. Meanwhile, people between 30 and 39 years formed the largest age group in Iceland. Sweden is the Nordic country with the largest total population.

Finland FI: Women: % of Total Population data was reported at 50.600 % in 2021. This records a decrease from the previous number of 50.610 % for 2020. Finland FI: Women: % of Total Population data is updated yearly, averaging 51.055 % from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 51.480 % in 1990 and a record low of 50.600 % in 2021. Finland FI: Women: % of Total Population data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Finland – Table FI.OECD.GGI: Social: Demography: OECD Member: Annual.

Abstract

Different countries have different health outcomes that are in part due to the way respective health systems perform. Regardless of the type of health system, individuals will have health and non-health expectations in terms of how the institution responds to their needs. In many countries, however, health systems do not perform effectively and this is in part due to lack of information on health system performance, and on the different service providers.

The aim of the WHO World Health Survey is to provide empirical data to the national health information systems so that there is a better monitoring of health of the people, responsiveness of health systems and measurement of health-related parameters.

The overall aims of the survey is to examine the way populations report their health, understand how people value health states, measure the performance of health systems in relation to responsiveness and gather information on modes and extents of payment for health encounters through a nationally representative population based community survey. In addition, it addresses various areas such as health care expenditures, adult mortality, birth history, various risk factors, assessment of main chronic health conditions and the coverage of health interventions, in specific additional modules.

The objectives of the survey programme are to: 1. develop a means of providing valid, reliable and comparable information, at low cost, to supplement the information provided by routine health information systems. 2. build the evidence base necessary for policy-makers to monitor if health systems are achieving the desired goals, and to assess if additional investment in health is achieving the desired outcomes. 3. provide policy-makers with the evidence they need to adjust their policies, strategies and programmes as necessary.

Geographic coverage

The survey sampling frame must cover 100% of the country's eligible population, meaning that the entire national territory must be included. This does not mean that every province or territory need be represented in the survey sample but, rather, that all must have a chance (known probability) of being included in the survey sample.

There may be exceptional circumstances that preclude 100% national coverage. Certain areas in certain countries may be impossible to include due to reasons such as accessibility or conflict. All such exceptions must be discussed with WHO sampling experts. If any region must be excluded, it must constitute a coherent area, such as a particular province or region. For example if ¾ of region D in country X is not accessible due to war, the entire region D will be excluded from analysis.

Analysis unit

Households and individuals

Universe

The WHS will include all male and female adults (18 years of age and older) who are not out of the country during the survey period. It should be noted that this includes the population who may be institutionalized for health reasons at the time of the survey: all persons who would have fit the definition of household member at the time of their institutionalisation are included in the eligible population.

If the randomly selected individual is institutionalized short-term (e.g. a 3-day stay at a hospital) the interviewer must return to the household when the individual will have come back to interview him/her. If the randomly selected individual is institutionalized long term (e.g. has been in a nursing home the last 8 years), the interviewer must travel to that institution to interview him/her.

The target population includes any adult, male or female age 18 or over living in private households. Populations in group quarters, on military reservations, or in other non-household living arrangements will not be eligible for the study. People who are in an institution due to a health condition (such as a hospital, hospice, nursing home, home for the aged, etc.) at the time of the visit to the household are interviewed either in the institution or upon their return to their household if this is within a period of two weeks from the first visit to the household.

Kind of data

Sample survey data [ssd]

Sampling procedure

SAMPLING GUIDELINES FOR WHS

Surveys in the WHS program must employ a probability sampling design. This means that every single individual in the sampling frame has a known and non-zero chance of being selected into the survey sample. While a Single Stage Random Sample is ideal if feasible, it is recognized that most sites will carry out Multi-stage Cluster Sampling.

The WHS sampling frame should cover 100% of the eligible population in the surveyed country. This means that every eligible person in the country has a chance of being included in the survey sample. It also means that particular ethnic groups or geographical areas may not be excluded from the sampling frame.

The sample size of the WHS in each country is 5000 persons (exceptions considered on a by-country basis). An adequate number of persons must be drawn from the sampling frame to account for an estimated amount of non-response (refusal to participate, empty houses etc.). The highest estimate of potential non-response and empty households should be used to ensure that the desired sample size is reached at the end of the survey period. This is very important because if, at the end of data collection, the required sample size of 5000 has not been reached additional persons must be selected randomly into the survey sample from the sampling frame. This is both costly and technically complicated (if this situation is to occur, consult WHO sampling experts for assistance), and best avoided by proper planning before data collection begins.

All steps of sampling, including justification for stratification, cluster sizes, probabilities of selection, weights at each stage of selection, and the computer program used for randomization must be communicated to WHO

STRATIFICATION

Stratification is the process by which the population is divided into subgroups. Sampling will then be conducted separately in each subgroup. Strata or subgroups are chosen because evidence is available that they are related to the outcome (e.g. health, responsiveness, mortality, coverage etc.). The strata chosen will vary by country and reflect local conditions. Some examples of factors that can be stratified on are geography (e.g. North, Central, South), level of urbanization (e.g. urban, rural), socio-economic zones, provinces (especially if health administration is primarily under the jurisdiction of provincial authorities), or presence of health facility in area. Strata to be used must be identified by each country and the reasons for selection explicitly justified.

Stratification is strongly recommended at the first stage of sampling. Once the strata have been chosen and justified, all stages of selection will be conducted separately in each stratum. We recommend stratifying on 3-5 factors. It is optimum to have half as many strata (note the difference between stratifying variables, which may be such variables as gender, socio-economic status, province/region etc. and strata, which are the combination of variable categories, for example Male, High socio-economic status, Xingtao Province would be a stratum).

Strata should be as homogenous as possible within and as heterogeneous as possible between. This means that strata should be formulated in such a way that individuals belonging to a stratum should be as similar to each other with respect to key variables as possible and as different as possible from individuals belonging to a different stratum. This maximises the efficiency of stratification in reducing sampling variance.

MULTI-STAGE CLUSTER SELECTION

A cluster is a naturally occurring unit or grouping within the population (e.g. enumeration areas, cities, universities, provinces, hospitals etc.); it is a unit for which the administrative level has clear, nonoverlapping boundaries. Cluster sampling is useful because it avoids having to compile exhaustive lists of every single person in the population. Clusters should be as heterogeneous as possible within and as homogenous as possible between (note that this is the opposite criterion as that for strata). Clusters should be as small as possible (i.e. large administrative units such as Provinces or States are not good clusters) but not so small as to be homogenous.

In cluster sampling, a number of clusters are randomly selected from a list of clusters. Then, either all members of the chosen cluster or a random selection from among them are included in the sample. Multistage sampling is an extension of cluster sampling where a hierarchy of clusters are chosen going from larger to smaller.

In order to carry out multi-stage sampling, one needs to know only the population sizes of the sampling units. For the smallest sampling unit above the elementary unit however, a complete list of all elementary units (households) is needed; in order to be able to randomly select among all households in the TSU, a list of all those households is required. This information may be available from the most recent population census. If the last census was >3 years ago or the information furnished by it was of poor quality or unreliable, the survey staff will have the task of enumerating all households in the smallest randomly selected sampling unit. It is very important to budget for this step if it is necessary and ensure that all households are properly enumerated in order that a representative sample is obtained.

It is always best to have as many clusters in the PSU as possible. The reason for this is that the fewer the number of respondents in each PSU, the lower will be the clustering effect which

Historical Dataset of Finland Elementary School is provided by PublicSchoolReview and contain statistics on metrics:Total Students Trends Over Years (1987-2023),Total Classroom Teachers Trends Over Years (1990-2023),Distribution of Students By Grade Trends,Student-Teacher Ratio Comparison Over Years (1990-2023),Asian Student Percentage Comparison Over Years (1991-2023),Hispanic Student Percentage Comparison Over Years (1990-2023),Black Student Percentage Comparison Over Years (1991-2023),White Student Percentage Comparison Over Years (1991-2023),Two or More Races Student Percentage Comparison Over Years (2013-2023),Diversity Score Comparison Over Years (1991-2023),Free Lunch Eligibility Comparison Over Years (1992-2023),Reduced-Price Lunch Eligibility Comparison Over Years (2002-2023),Reading and Language Arts Proficiency Comparison Over Years (2011-2022),Math Proficiency Comparison Over Years (2011-2022),Overall School Rank Trends Over Years (2011-2022)

Overall, the share of population aged 65 years and older in Finland was 23.6 percent. In the South Savo region, approximately 33.9 percent of the population were 65 years and older as of 2024. The capital region Uusimaa had the smallest share of individuals aged 65 years and older with 18.4 percent.

World Values Survey 2005: Finnish Data studies the respondents' values, attitudes and situation in life with various questions. The data include an oversample of Swedish-speaking population. The respondents rated the importance of various domains in life (e.g. family, work, leisure time). Views were probed on happiness, objectives, satisfaction with life, and whether the respondents felt that they have completely free choice and control over their lives. The survey also investigated whether the respondents belonged to any voluntary organisations or communities. In relation to prejudices against different groups with various characteristics, the respondents were asked which groups they would not like to have as neighbours (e.g. people of a different race, drug addicts, immigrants, sexual minorities). Further questions covered general trust or mistrust of people. There were several questions relating to working life in the survey. One theme pertained to which aspects the respondents would consider to be important if they were looking for a job (e.g. a good income, safety in the workplace). The respondents were asked whether they agreed with statements relating to work and working life. The respondents were also asked whether it is justifiable to favour Finns or men for employees when jobs are scarce. Several questions focused on family, home, marriage, and having and raising children. Further questions charted religious behaviour, beliefs, and whether the respondents belonged to any religious denominations. The respondents were asked to assess the aims of Finnish society and potential future changes in lifestyle. They considered different global problems and objectives to find solutions to them. The respondents' political action was covered by asking, among other things, if they had participated in peaceful demonstrations. Confidence in various institutions in society was examined. The respondents were also asked to assess different political systems and characteristics of democracy. Political inclinations were surveyed, for instance, by asking the respondents to place themselves on the left-right axis and by asking them about voting behaviour. Opinions were also probed on the responsibilities of the individual vs. the responsibilities of the government, competition, science, technology, income disparity, attitudes towards euthanasia, cheating on taxes, accepting a bribe, Finnishness, foreign aid, immigration, and ethnic diversity. The use of computer and different sources of information were investigated as well. The face-to-face interview was followed by a self-completed questionnaire. Finnish conceptions of Swedes were investigated. Firstly, the questionnaire covered the respondents' knowledge of, among others, Swedish population, current and former prime ministers, authors, composers, athletes, and how Sweden fared in the UN's international comparisons measuring standard of living and equality between men and women. Further questions covered the respondents' trips to Sweden and whether they had any Swedish acquaintances. The respondents' opinions on, among others, cooperation between Sweden and Finland regarding culture, politics and economy were charted, as well as their views on Swedish institutions and the characteristics and self-image of Swedes. Finally, the questionnaire examined the attitudes that the respondents, their relatives, and the whole Finnish population have towards Swedes. Background variables included, among others, the respondent's gender, year of birth, marital status, number of children, educational level, main occupation, duration of the possible unemployment, province of residence, type of neighbourhood, household income, and whether or not R lives with his/her parents.

fin37.t.d. The percentage of respondents who report personally receiving any transfer from the government in the past year. This includes payments for educational or medical expenses, unemployment benefits, subsidy payments, or any kind of social benefits. It does not include a pension from the government, military, or public sector; wages; or any other payments related to work. The Gender Statistics database is a comprehensive source for the latest sex-disaggregated data and gender statistics covering demography, education, health, access to economic opportunities, public life and decision-making, and agency.

Finland FI: Population: Ages 65 and Above: % of Total Population data was reported at 18.630 % in 2021. This records an increase from the previous number of 18.360 % for 2020. Finland FI: Population: Ages 65 and Above: % of Total Population data is updated yearly, averaging 13.860 % from Dec 1990 (Median) to 2021, with 32 observations. The data reached an all-time high of 18.630 % in 2021 and a record low of 11.810 % in 1990. Finland FI: Population: Ages 65 and Above: % of Total Population data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Finland – Table FI.OECD.GGI: Social: Demography: OECD Member: Annual.