This statistic shows the share of economic sectors in the gross domestic product (GDP) in Finland from 2013 to 2023. In 2023, the share of agriculture in Finland's gross domestic product was 2.31 percent, industry contributed approximately 23.86 percent and the services sector contributed about 61.37 percent.

Finland Population Education Structure: Female: Age 15 or Over: EQ: Master's or Equivalent data was reported at 241,915.000 Person in 2017. This records an increase from the previous number of 232,607.000 Person for 2016. Finland Population Education Structure: Female: Age 15 or Over: EQ: Master's or Equivalent data is updated yearly, averaging 114,498.000 Person from Dec 1970 (Median) to 2017, with 35 observations. The data reached an all-time high of 241,915.000 Person in 2017 and a record low of 17,008.000 Person in 1970. Finland Population Education Structure: Female: Age 15 or Over: EQ: Master's or Equivalent data remains active status in CEIC and is reported by Statistics Finland. The data is categorized under Global Database’s Finland – Table FI.G005: Education Statistics.

Finland Population Education Structure: Age 15 or Over: EQ: Bachelor's or Equivalent data was reported at 518,969.000 Person in 2017. This records an increase from the previous number of 500,520.000 Person for 2016. Finland Population Education Structure: Age 15 or Over: EQ: Bachelor's or Equivalent data is updated yearly, averaging 217,221.000 Person from Dec 1970 (Median) to 2017, with 35 observations. The data reached an all-time high of 518,969.000 Person in 2017 and a record low of 91,511.000 Person in 1970. Finland Population Education Structure: Age 15 or Over: EQ: Bachelor's or Equivalent data remains active status in CEIC and is reported by Statistics Finland. The data is categorized under Global Database’s Finland – Table FI.G005: Education Statistics.

The statistic shows the distribution of employment in Finland by economic sector from 2012 to 2022. In 2022, 3.76 percent of the employees in Finland were active in the agricultural sector, 21.4 percent in industry and 74.84 percent in the service sector.

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

National coverage.

Analysis unit

Individuals

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Observation data/ratings [obs]

Sampling procedure

The indicators in the 2017 Global Findex database are drawn from survey data covering almost 150,000 people in 144 economies-representing more than 97 percent of the world’s population (see table A.1 of the Global Findex Database 2017 Report for a list of the economies included). The survey was carried out over the 2017 calendar year by Gallup, Inc., as part of its Gallup World Poll, which since 2005 has annually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 150 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. Interview procedure Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or where this is the customary methodology. In most economies the fieldwork is completed in two to four weeks.

In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used.

Respondents are randomly selected within the selected households. Each eligible household member is listed and the handheld survey device randomly selects the household member to be interviewed. For paper surveys, the Kish grid method is used to select the respondent. In economies where cultural restrictions dictate gender matching, respondents are randomly selected from among all eligible adults of the interviewer’s gender.

In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or household enumeration method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

The sample size was 1000.

Mode of data collection

Cellular Telephone

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in more than 140 languages upon request.

Questions on cash on delivery, saving using an informal savings club or person outside the family, domestic remittances, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Demirgüç-Kunt, Asli, Leora Klapper, Dorothe Singer, Saniya Ansar, and Jake Hess. 2018. The Global Findex Database 2017: Measuring Financial Inclusion and the Fintech Revolution. Washington, DC: World Bank

The main themes of the survey were the competitiveness of Finnish enterprises, the state of the political system and how to achieve economic growth in Finland. First, the respondents were asked to what extent they agreed with a number of statements relating to, for instance, political parties and the political system, science and technology, gender equality, environment, free competition, public services, Finnish business life and enterprises, measures to lessen the impact of the aging population, globalisation, Finland's NATO membership, market forces, national debt, immigrants, taxation, and the circumstances of employees, etc. Opinions were charted on why the competitiveness of Finnish enterprises had declined. Causes mentioned included lack of innovation, high pay rises, social security contributions or taxes, lack of enthusiasm and determination, lack of government support, the euro, high wages of top managers, risk avoidance, bad working atmosphere, environmental regulations and strategic mistakes by management. The respondents were also asked whether they would accept or object to a number of measures or structural changes aiming to stimulate economic growth. The measures mentioned included giving up conscription, reducing corporation tax, restricting the power of trade unions, increasing research funding, competitive tendering for the provision of public services, tighter rules for unemployment benefits, pay freeze, cutting public service expenditure, lowering income tax, increasing annual working hours, reducing study time, establishing new state-owned companies and increasing immigration. Opinions were charted on Finland's EU membership and the currency change to euro. The respondents were asked whether the economic independence of EU states should be restricted and whether they would vote for or against Finland's EU membership if a referendum were held at the time of the survey. The background variables included the respondent's gender, year of birth, region of residence (NUTS3), basic and vocational education, economic activity and occupational status, industry of employment, which political party would vote for in parliamentary elections, membership in a trade union and self-perceived social class.

Graph and download economic data for Financial System Deposits to GDP for Finland (DDDI08FIA156NWDB) from 1960 to 2021 about Finland, deposits, financial, and GDP.

Finland Exports of structures and parts of structures, of iron or steel to Canada was US$458.27 Thousand during 2023, according to the United Nations COMTRADE database on international trade. Finland Exports of structures and parts of structures, of iron or steel to Canada - data, historical chart and statistics - was last updated on March of 2025.

General government structural balance (% of potential GDP) of Finland shot up by 48.61% from -1.0 % in 2022 to -1.5 % in 2023. Since the 31.09% slump in 2021, general government structural balance (% of potential GDP) plummeted by 38.98% in 2023. The structural budget balance refers to the general government cyclically adjusted balance adjusted for nonstructural elements beyond the economic cycle. These include temporary financial sector and asset price movements as well as one-off, or temporary, revenue or expenditure items. The cyclically adjusted balance is the fiscal balance adjusted for the effects of the economic cycle; see, for example, A. Fedelino. A. Ivanova and M. Horton "Computing Cyclically Adjusted Balances and Automatic Stabilizers" IMF Technical Guidance Note No. 5, http://www.imf.org/external/pubs/ft/tnm/2009/tnm0905.pdf.

Finland Population Education Structure: Age 15 or Over: EQ: Doctoral or Equivalent data was reported at 44,042.000 Person in 2016. This records an increase from the previous number of 42,782.000 Person for 2015. Finland Population Education Structure: Age 15 or Over: EQ: Doctoral or Equivalent data is updated yearly, averaging 22,677.500 Person from Dec 1970 (Median) to 2016, with 34 observations. The data reached an all-time high of 44,042.000 Person in 2016 and a record low of 4,135.000 Person in 1970. Finland Population Education Structure: Age 15 or Over: EQ: Doctoral or Equivalent data remains active status in CEIC and is reported by Statistics Finland. The data is categorized under Global Database’s Finland – Table FI.G005: Education Statistics.

Finland Population Education Structure: Female: Age 15 or Over: EQ: Short-Cycle Tertiary Education data was reported at 268,435.000 Person in 2017. This records a decrease from the previous number of 271,636.000 Person for 2016. Finland Population Education Structure: Female: Age 15 or Over: EQ: Short-Cycle Tertiary Education data is updated yearly, averaging 282,994.000 Person from Dec 1970 (Median) to 2017, with 35 observations. The data reached an all-time high of 319,278.000 Person in 2002 and a record low of 82,599.000 Person in 1970. Finland Population Education Structure: Female: Age 15 or Over: EQ: Short-Cycle Tertiary Education data remains active status in CEIC and is reported by Statistics Finland. The data is categorized under Global Database’s Finland – Table FI.G005: Education Statistics.

The data contain information on the fair value of Finnish foreign exports between 1840 and 2000. The data were gathered from the Official Statistics of Finland by Statistics Finland, and the monograph entitled "Suomen taloushistoria. 3: Historiallinen tilasto" (by Kaarina Vattula), which has also been translated into English under the title "The Economic History of Finland 3, Historical Statistics". The data contain 160 years of Finnish export data. The data gathering was financed by the University of Helsinki, the Academy of Finland, and the Yrjö Jahnsson Foundation. The data contain yearly export values categorised by geographical target domain. The values of exports to Russia (including the Soviet Union), Great Britain, Germany (including West and East Germany), Sweden, Norway, Denmark, Estonia, the Netherlands, Belgium (including Luxembourg), Italy, France, the United States, Japan, and China are displayed. Furthermore, the values of exports are displayed in relation to larger geographical areas, such as Europe, America, Asia, Africa, and Oceania. The data also contain variables for the total value of exports and the volume index of exports (with the index for year 1926 being 100).

Finland Exports of structures and parts of structures, of iron or steel to Ethiopia was US$41.77 Thousand during 2016, according to the United Nations COMTRADE database on international trade. Finland Exports of structures and parts of structures, of iron or steel to Ethiopia - data, historical chart and statistics - was last updated on March of 2025.

Finland Exports of aluminium structures and parts of structures to Italy was US$1.84 Million during 2023, according to the United Nations COMTRADE database on international trade. Finland Exports of aluminium structures and parts of structures to Italy - data, historical chart and statistics - was last updated on March of 2025.

Finland Exports of aluminium structures and parts of structures to Nicaragua was US$1.77 Thousand during 2023, according to the United Nations COMTRADE database on international trade. Finland Exports of aluminium structures and parts of structures to Nicaragua - data, historical chart and statistics - was last updated on March of 2025.

Ukraine Exports of aluminium structures and parts of structures to Finland was US$3.69 Thousand during 2023, according to the United Nations COMTRADE database on international trade. Ukraine Exports of aluminium structures and parts of structures to Finland - data, historical chart and statistics - was last updated on March of 2025.

Russia Exports: Finland: Ships, Boats & Floating Structures data was reported at 51,946.000 USD th in 2017. This records an increase from the previous number of 1,630.000 USD th for 2016. Russia Exports: Finland: Ships, Boats & Floating Structures data is updated yearly, averaging 1,385.000 USD th from Dec 1995 (Median) to 2017, with 23 observations. The data reached an all-time high of 108,300.000 USD th in 1996 and a record low of 258.000 USD th in 2002. Russia Exports: Finland: Ships, Boats & Floating Structures data remains active status in CEIC and is reported by Federal Customs Service. The data is categorized under Russia Premium Database’s Foreign Trade – Table RU.JAD026: Exports: by 2-Digit HS Code: Finland: Annual.

Finland Exports of aluminium structures and parts of structures to Turkmenistan was US$33.2 Thousand during 2014, according to the United Nations COMTRADE database on international trade. Finland Exports of aluminium structures and parts of structures to Turkmenistan - data, historical chart and statistics - was last updated on March of 2025.

Finland Population Education Structure: Male: Age 15 or Over: Educational Qualification (EQ) data was reported at 1,584,530.000 Person in 2016. This records an increase from the previous number of 1,565,118.000 Person for 2015. Finland Population Education Structure: Male: Age 15 or Over: Educational Qualification (EQ) data is updated yearly, averaging 1,218,703.000 Person from Dec 1970 (Median) to 2016, with 34 observations. The data reached an all-time high of 1,584,530.000 Person in 2016 and a record low of 445,361.000 Person in 1970. Finland Population Education Structure: Male: Age 15 or Over: Educational Qualification (EQ) data remains active status in CEIC and is reported by Statistics Finland. The data is categorized under Global Database’s Finland – Table FI.G005: Education Statistics.

Finland Exports of structures and parts of structures, of iron or steel to Montenegro was US$2.75 Thousand during 2023, according to the United Nations COMTRADE database on international trade. Finland Exports of structures and parts of structures, of iron or steel to Montenegro - data, historical chart and statistics - was last updated on March of 2025.