The gross domestic product (GDP) of the Swedish Capital of Stockholm grew steadily from 2010 to 2021. It increased from around 1.1 trillion Swedish kronor in 2010 to nearly 1.8 trillion kronor in 2021.

The gross domestic product (GDP) per capita of the Swedish Capital of Stockholm grew steadily from 2010 to 2021. Except for dips in 2012 and 2020, it increased every year during the period, reaching 734,000 Swedish kronor in 2021.

Except for 2020, the Swedish Capital of Stockholm had a positive gross domestic product (GDP) growth rate each year in the period between 2010 and 2021. The growth was highest in 2021, increasing by 6.5 percent from the previous year. In 2021, the total GDP of Stockholm stood at nearly 1.8 trillion Swedish kronor.

The Gross Domestic Product (GDP) in Sweden was worth 584.96 billion US dollars in 2023, according to official data from the World Bank. The GDP value of Sweden represents 0.55 percent of the world economy. This dataset provides the latest reported value for - Sweden GDP - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Sweden GDP per Capita: Stockholm data was reported at 629.000 SEK th in 2017. This records an increase from the previous number of 624.000 SEK th for 2016. Sweden GDP per Capita: Stockholm data is updated yearly, averaging 512.500 SEK th from Dec 2000 (Median) to 2017, with 18 observations. The data reached an all-time high of 629.000 SEK th in 2017 and a record low of 380.000 SEK th in 2000. Sweden GDP per Capita: Stockholm data remains active status in CEIC and is reported by Statistics Sweden. The data is categorized under Global Database’s Sweden – Table SE.A033: ESA 2010: GDP: per Capita: by Region.

Key information about Sweden Market Capitalization: % of GDP

• Sweden Market Capitalization accounted for 171.0 % of its Nominal GDP in Dec 2024, compared with a percentage of 169.3 % in the previous year
• Sweden Market Capitalization: % Nominal GDP is updated yearly, available from Dec 2006 to Dec 2024
• The data reached an all-time high of 226.8 % in Dec 2021 and a record low of 66.0 % in Dec 2008

CEIC calculates Market Capitalization as % of Nominal GDP from monthly Market Capitalization and annual Nominal GDP. Nasdaq Stockholm provides Market Capitalization in local currency. Statistics Sweden provides Nominal GDP in local currency

Stockholm is the Capital of Sweden and in 2023, close to 985,000 people lived in the municipality. Since 2010, the population there has been growing consistently. While more people are moving to Stockholm, the city area is not growing at the same speed, leading the population density to increase as well. Forecasts for the city expect continuous growth of population over the next forty years.

Economy

In Stockholm, the Gross Domestic Product (GDP) per capita was around 734,000 Swedish kronor in 2021. That was much higher than the average GDP per capita in all of Sweden with around 517,000 SEK in 2021. Though it must be noted that living costs are very high in the city and have been increasing in the last years. For example, the average rent per square meter in Stockholm has been rising every single year.

Employment A high majority of people living in Stockholm have a workplace. The employment rate in Stockholm is at 73.6 percent as of 2021.  The sector with the highest number of employees in Stockholm is professional, scientific, technical, and administrative activities, followed by wholesale and retail trade.

人均国内生产总值：斯德哥尔摩在12-01-2017达629.000千瑞典克朗，相较于12-01-2016的624.000千瑞典克朗有所增长。人均国内生产总值：斯德哥尔摩数据按年更新，12-01-2000至12-01-2017期间平均值为512.500千瑞典克朗，共18份观测结果。该数据的历史最高值出现于12-01-2017，达629.000千瑞典克朗，而历史最低值则出现于12-01-2000，为380.000千瑞典克朗。CEIC提供的人均国内生产总值：斯德哥尔摩数据处于定期更新的状态，数据来源于Statistiska Centralbyran，数据归类于Global Database的瑞典 – 表 SE.A033：2010年欧洲账户体系（ESA 2010）：国内生产总值：人均：按地区。

The dataset comprises the Quad (Australia, India, Japan, and the United States) member countries’ military expenditure (ME) and related economic indicators, 1991-2020. lnME is logarithms of the Quad member countries’ ME. lnSpillover1 is the product of the Quad member countries’ ME divided by its own ME. lnSpillover2 is logarithms of the sum of the Quad member countries’ ME minus its own ME. lnGDP is the Quad member countries’ GDP. And lnChineseME is logarithms of Chinese ME. lnME_fd is the first difference value of lnME. lnSpillover1_fd is the first difference value of lnSpillover1. lnSpillover2_fd is the first difference value of lnSpillover2. lnGDP_fd is the first difference value of ln lnGDP. And lnChineseME_fd is the first difference value of lnChineseME. IV_1_1 is the 2 periods lagged lnSpillover1_fd. IV_1_2 is logarithms of the first difference value of the product of the Quad member countries’ GDP divided by its own GDP. IV_2_1 is the 2 periods lagged lnSpillover2_fd. IV_2_2 is logarithms of the first difference value of the sum of the Quad member countries’ GDP minus its own GDP. Data on the Quad member countries’ ME (in current US dollars) from 1991–2020 were obtained from Stockholm International Peace Research Institute (2022), and data on their GDP (in current US dollars) during the same period were obtained from World Bank (2022). Further, Chinese ME (in current US dollars) from 1991–2020 were obtained from Stockholm International Peace Research Institute (2022). The data were converted to constant US dollars using the US GDP deflator taken from World Bank (2022). Data source Stockholm International Peace Research Institute. 2022. “SIPRI Military Expenditure Database.” https://www.sipri.org/databases/milex. World Bank. 2022. “World Development Indicators.” https://databank.worldbank.org/source/world-development-indicators.

Analysis of ‘GapMinder - Income Inequality’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/psterk/income-inequality on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Content

This analysis focuses on income inequailty as measured by the Gini Index* and its association with economic metrics such as GDP per capita, investments as a % of GDP, and tax revenue as a % of GDP. One polical metric, EIU democracy index, is also included.

The data is for years 2006 - 2016

This investigation can be considered a starting point for complex questions such as:

1. Is a higher tax revenue as a % of GDP associated with less income inequality?
2. Is a higher EIU democracy index associated with less income inequality?
3. Is higher GDP per capita associated with less income inequality?
4. Is higher investments as a % of GDP associated with less income inequality?

This analysis uses the gapminder dataset from the Gapminder Foundation. The Gapminder Foundation is a non-profit venture registered in Stockholm, Sweden, that promotes sustainable global development and achievement of the United Nations Millennium Development Goals by increased use and understanding of statistics and other information about social, economic and environmental development at local, national and global levels.

*The Gini Index is a measure of statistical dispersion intended to represent the income or wealth distribution of a nation's residents, and is the most commonly used measurement of inequality. It was developed by the Italian statistician and sociologist Corrado Gini and published in his 1912 paper Variability and Mutability.

The dataset contains data from the following GapMinder datasets:

EIU Democracy Index:

"This democracy index is using the data from the Economist Inteligence Unit to express the quality of democracies as a number between 0 and 100. It's based on 60 different aspects of societies that are relevant to democracy universal suffrage for all adults, voter participation, perception of human rights protection and freedom to form organizations and parties. The democracy index is calculated from the 60 indicators, divided into five ""sub indexes"", which are:

1. Electoral pluralism index;
2. Government index;
3. Political participation indexm;
4. Political culture index;
5. Civil liberty index.

The sub-indexes are based on the sum of scores on roughly 12 indicators per sub-index, converted into a score between 0 and 100. (The Economist publishes the index with a scale from 0 to 10, but Gapminder has converted it to 0 to 100 to make it easier to communicate as a percentage.)" https://docs.google.com/spreadsheets/d/1d0noZrwAWxNBTDSfDgG06_aLGWUz4R6fgDhRaUZbDzE/edit#gid=935776888

Income: GDP per capita, constant PPP dollars

GDP per capita measures the value of everything produced in a country during a year, divided by the number of people. The unit is in international dollars, fixed 2011 prices. The data is adjusted for inflation and differences in the cost of living between countries, so-called PPP dollars. The end of the time series, between 1990 and 2016, uses the latest GDP per capita data from the World Bank, from their World Development Indicators. To go back in time before the World Bank series starts in 1990, we have used several sources, such as Angus Maddison. https://www.gapminder.org/data/documentation/gd001/

Investments (% of GDP)

Capital formation is a term used to describe the net capital accumulation during an accounting period for a particular country. The term refers to additions of capital goods, such as equipment, tools, transportation assets, and electricity. Countries need capital goods to replace the older ones that are used to produce goods and services. If a country cannot replace capital goods as they reach the end of their useful lives, production declines. Generally, the higher the capital formation of an economy, the faster an economy can grow its aggregate income.

Tax revenue (% of GDP)

refers to compulsory transfers to the central governement for public purposes. Does not include social security. https://data.worldbank.org/indicator/GC.TAX.TOTL.GD.ZS

Context

Gapminder is an independent Swedish foundation with no political, religious or economic affiliations. Gapminder is a fact tank, not a think tank. Gapminder fights devastating misconceptions about global development. Gapminder produces free teaching resources making the world understandable based on reliable statistics. Gapminder promotes a fact-based worldview everyone can understand. Gapminder collaborates with universities, UN, public agencies and non-governmental organizations. All Gapminder activities are governed by the board. We do not award grants. Gapminder Foundation is registered at Stockholm County Administration Board. Our constitution can be found here.

Acknowledgements

Thanks to gapminder.org for organizing the above datasets.

Inspiration

Below are some research questions associated with the data and some initial conclusions:

Research Question 1 - Is Income Inequality Getting Worse or Better in the Last 10 Years?

Answer:

Yes, it is getting better, improving from 38.7 to 37.3

On a continent basis, all were either declining or mostly flat, except for Africa.

Research Question 2 - What Top 10 Countries Have the Lowest and Highest Income Inequality?

Answer:

Lowest: Slovenia, Ukraine, Czech Republic, Norway, Slovak Republic, Denmark, Kazakhstan, Finland, Belarus,Kyrgyz Republic

Highest: Colombia, Lesotho, Honduras, Bolivia, Central African Republic, Zambia, Suriname, Namibia, Botswana, South Africa

Research Question 3 Is a higher tax revenue as a % of GDP associated with less income inequality?

Answer: No

Research Question 4 - Is Higher Income Per Person - GDP Per Capita associated with less income inequality?

Answer: No, but weak negative correlation.

Research Question 5 - Is Higher Investment as % GDP associated with less income inequality?

Answer: No

Research Question 6 - Is Higher EIU Democracy Index associated with less income inequality?

Answer: No, but weak negative correlation.

The above results suggest that there are other drivers for the overall reduction in income inequality. Futher analysis of additional factors should be undertaken.

--- Original source retains full ownership of the source dataset ---

The tourism sector contributed less than two percent to the gross domestic product (GDP) in Sweden in 2020 and 2021. This development was highly associated to the COVID-19 pandemic. The Scandinavian country's GDP in that year amounted to around 637 billion U.S. dollars.

The tourism sector GDP share in Sweden was forecast to continuously increase between 2023 and 2028 by in total 2.3 percentage points. The share is estimated to amount to 8.43 percent in 2028. While the share was forecast to increase significant in the next years, the increase will slow down in the future.Depited is the economic contribution of the tourism sector in relation to the gross domestic product of the country or region at hand.The forecast has been adjusted for the expected impact of COVID-19.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in more than 150 countries and regions worldwide. All input data are sourced from international institutions, national statistical offices, and trade associations. All data has been are processed to generate comparable datasets (see supplementary notes under details for more information).Find more key insights for the tourism sector GDP share in countries like Norway and Denmark.

Pays-Bas: Military spending, percent of GDP: Pour cet indicateur, The Stockholm International Peace Research Institute fournit des données pour la Pays-Bas de 1960 à 2022. La valeur moyenne pour Pays-Bas pendant cette période était de 2.26 pour cent avec un minimum de 1.13 pour cent en 2015 et un maximum de 4.12 pour cent en 1962.

Thaïlande: Military spending, percent of GDP: Pour cet indicateur, The Stockholm International Peace Research Institute fournit des données pour la Thaïlande de 1960 à 2022. La valeur moyenne pour Thaïlande pendant cette période était de 2.38 pour cent avec un minimum de 1.05 pour cent en 2005 et un maximum de 4.38 pour cent en 1979.

Mexique: Military spending, percent of GDP: Pour cet indicateur, The Stockholm International Peace Research Institute fournit des données pour la Mexique de 1960 à 2022. La valeur moyenne pour Mexique pendant cette période était de 0.52 pour cent avec un minimum de 0.31 pour cent en 2006 et un maximum de 0.74 pour cent en 2020.

Bélarus: Military spending, percent of GDP: Pour cet indicateur, The Stockholm International Peace Research Institute fournit des données pour la Bélarus de 1992 à 2022. La valeur moyenne pour Bélarus pendant cette période était de 1.48 pour cent avec un minimum de 1.12 pour cent en 2021 et un maximum de 3.62 pour cent en 1994.

In 2023, approximately 988,943 people lived in Stockholm, making it not only the capital, but also the biggest city in Sweden. The second biggest city, Gothenburg (Göteborg) had about half as many inhabitants, with about 596,840 people. Move to the citySweden is a country with a very high urbanization rate, the likes of which is usually only seen in countries with large uninhabitable areas, such as Australia, or in nations with very little rural landscape and agrarian structures, like Cuba. So why do so few Swedes live in rural areas, even though based on total area, the country is one of the largest in Europe? The total population figures are the answer to this question, as Sweden has only about 10.3 million inhabitants as of 2018 – that’s only 25 inhabitants per square kilometer. Rural exodus or just par for the course?It is no mystery why most Swedes flock to the cities: Jobs, of course. Over 65 percent of Sweden’s gross domestic product is generated by the services sector, and agriculture only contributes about one percent to the GDP. Employment mirrors this, with 80 percent of the workforce being deployed in services, namely in foreign trade, telecommunications, and manufacturing, among other industries.

Maurice: Military spending, percent of GDP: Pour cet indicateur, The Stockholm International Peace Research Institute fournit des données pour la Maurice de 1968 à 2022. La valeur moyenne pour Maurice pendant cette période était de 0.22 pour cent avec un minimum de 0.14 pour cent en 1974 et un maximum de 0.49 pour cent en 1980.

Chine, RAS de Hong Kong: Military spending, percent of GDP: Pour cet indicateur, The Stockholm International Peace Research Institute fournit des données pour la Chine, RAS de Hong Kong de à . La valeur moyenne pour Chine, RAS de Hong Kong pendant cette période était de pour cent avec un minimum de pour cent en et un maximum de pour cent en .

Turkménistan: Military spending, percent of GDP: Pour cet indicateur, The Stockholm International Peace Research Institute fournit des données pour la Turkménistan de 1994 à 1999. La valeur moyenne pour Turkménistan pendant cette période était de 2.69 pour cent avec un minimum de 1.8 pour cent en 1994 et un maximum de 3.96 pour cent en 1997.