Dataset Description: Wikipedia World Statistics (2023)

This dataset provides a comprehensive snapshot of global country statistics for the year 2023. It was scraped from various Wikipedia pages using BeautifulSoup, consolidating key indicators and metrics for 142 countries. The dataset covers diverse aspects such as land area, water area, Human Development Index (HDI), GDP forecasts, internet usage, and population changes.

Key Columns and Metrics:

1. Country: The name of the country.
2. Total in km2: Total area of the country.
3. Land in km2: Land area excluding water bodies.
4. Water in km2: Area covered by water bodies.
5. Water %: Percentage of the total area covered by water.
6. HDI: Human Development Index, a measure of a country's overall achievement in its social and economic dimensions.
7. %HDI Growth: Percentage growth in HDI.
8. IMF Forecast GDP(Nominal): International Monetary Fund's forecast for Gross Domestic Product in nominal terms.
9. World Bank Forecast GDP(Nominal): World Bank's forecast for Gross Domestic Product in nominal terms.
10. UN Forecast GDP(Nominal): United Nations' forecast for Gross Domestic Product in nominal terms.
11. IMF Forecast GDP(PPP): IMF's forecast for Gross Domestic Product in purchasing power parity terms.
12. World Bank Forecast GDP(PPP): World Bank's forecast for Gross Domestic Product in purchasing power parity terms.
13. CIA Forecast GDP(PPP): Central Intelligence Agency's forecast for Gross Domestic Product in purchasing power parity terms.
14. Internet Users: Number of internet users in the country.
15. UN Continental Region: Continental region classification by the United Nations.
16. UN Statistical Subregion: Statistical subregion classification by the United Nations.
17. Population 2022: Population of the country in the year 2022.
18. Population 2023: Population of the country in the year 2023.
19. Population %Change: Percentage change in population from 2022 to 2023.

Dataset Sources:

The dataset is sourced from various Wikipedia pages using BeautifulSoup, providing a consolidated and accessible resource for individuals interested in global country statistics. It spans a wide range of topics, making it a valuable asset for exploratory data analysis and research in fields such as economics, demographics, and international relations.

Feel free to explore and analyze this dataset to gain insights into the socio-economic dynamics of countries worldwide.

In 1938, the year before the Second World War, the United States had, by far, the largest economy in the world in terms of gross domestic product (GDP). The five Allied Great Powers that emerged victorious from the war, along with the three Axis Tripartite Pact countries that were ultimately defeated made up the eight largest independent economies in 1938.

When values are converted into 1990 international dollars, the U.S. GDP was over 800 billion dollars in 1938, which was more than double that of the second largest economy, the Soviet Union. Even the combined economies of the UK, its dominions, and colonies had a value of just over 680 billion 1990 dollars, showing that the United States had established itself as the world's leading economy during the interwar period (despite the Great Depression).

Interestingly, the British and Dutch colonies had larger combined GDPs than their respective metropoles, which was a key motivator for the Japanese invasion of these territories in East Asia during the war. Trade with neutral and non-belligerent countries also contributed greatly to the economic development of Allied and Axis powers throughout the war; for example, natural resources from Latin America were essential to the American war effort, while German manufacturing was often dependent on Swedish iron supplies.

As of April 2025, South Africa's GDP was estimated at over 410 billion U.S. dollars, the highest in Africa. Egypt followed, with a GDP worth around 347 billion U.S. dollars, and ranked as the second-highest on the continent. Algeria ranked third, with nearly 269 billion U.S. dollars. These African economies are among some of the fastest-growing economies worldwide. Dependency on oil For some African countries, the oil industry represents an enormous source of income. In Nigeria, oil generates over five percent of the country’s GDP in the third quarter of 2023. However, economies such as the Libyan, Algerian, or Angolan are even much more dependent on the oil sector. In Libya, for instance, oil rents account for over 40 percent of the GDP. Indeed, Libya is one of the economies most dependent on oil worldwide. Similarly, oil represents for some of Africa’s largest economies a substantial source of export value. The giants do not make the ranking Most of Africa’s largest economies do not appear in the leading ten African countries for GDP per capita. The GDP per capita is calculated by dividing a country’s GDP by its population. Therefore, a populated country with a low total GDP will have a low GDP per capita, while a small rich nation has a high GDP per capita. For instance, South Africa has Africa’s highest GDP, but also counts the sixth-largest population, so wealth has to be divided into its big population. The GDP per capita also indicates how a country’s wealth reaches each of its citizens. In Africa, Seychelles has the greatest GDP per capita.

This statistic shows the projected top ten largest national economies in 2050. By 2050, China is forecasted to have a gross domestic product of over ** trillion U.S. dollars.

Context

The kernel aims to extract data from Wikipedia's list of countries by category, and visualize it. The database itself, contains a HUGE amount of analyzed data at different categories, waiting anxiously for someone to present them elegantly ( 😏 ), and compare the trends between the different countries.

               <img src="https://github.com/Daniboy370/Machine-Learning/blob/master/Misc/Animation/VID-out-Wiki.gif?raw=true" width="550">

Content

The list contains 143 analyses of countries with respect to a specific criterion. Practically, I will refer to several criteria that I found interesting, however the reader is free to add as much as he pleases :

The well processed data should be able to provide such a visualization ( for example ) :

                      <img src="https://github.com/Daniboy370/Uploads/blob/master/Kaggle-Dataset-Wiki.gif?raw=true" width="600">

Pipeline

Choose criterion >> Extract data >> Examine & Clean >> Convert to dataframe >> Visualize :

                      <img src="https://github.com/Daniboy370/Uploads/blob/master/VID-Globe.gif?raw=true" width="400">

\[ \text{Enjoy !}\]

As of 2023, the GDP of Africa was estimated at roughly 3.1 trillion U.S. dollars. This was the highest value since 2010 when the continent's GDP amounted to approximately 2.1 trillion U.S. dollars. The GDP value in Africa generally followed an upward trend in recent years and was estimated to exceed 4.2 trillion U.S. dollars by 2027.

Leading the charge: the three leading African economies

Among the African countries, in 2021, Nigeria had the highest GDP with approximately 442 billion U.S. dollars. South Africa and Egypt followed. These three countries have the largest economies for various reasons. The most notable factors are their population size, natural resources, and level of economic development. Furthermore, Africa was projected to have a real GDP growth rate of 3.9 percent in 2023. Libya was the economy experiencing the highest growth rate in that year.

The Sub-Saharan African economy on the rise

A global comparison showed that Sub-Saharan Africa had the smallest GDP among all world regions in 2021, amounting to 1.87 trillion U.S. dollars. A closer look revealed that Sub-Saharan Africa had a GDP per capita of 1,626.3 U.S. dollars in 2021, again the lowest worldwide. However, the region's economy was forecast to experience continued growth in the following years, with the real GDP increasing by 3.7 percent in 2023.

The 'Full Year GDP Growth' in Poland measures the annual change in the value of all goods and services produced in the country, reflecting the overall economic health.

In 2024, the United States was the G20 country with the largest gross domestic product per capita, with ****** international dollars per capita. The international dollar is a hypothetical currency accounting for purchasing power parity (PPP), assuming that the U.S. dollar would have the same value all around the world. Saudi Arabia had the second highest GDP per capita, followed by Germany. On the other hand, India had the lowest at only ***** dollars per capita.

The 'GDP Growth Rate YoY' in Norway measures the annual percentage change in the value of all goods and services produced within the country, adjusted for inflation.

The 'Full Year GDP Growth' in Russia measures the annual change in the value of all goods and services produced within the country, reflecting the overall economic health and performance.

The Dataset contains all the real GDP ( Gross Domestic Product) by all countries from 1980 to 2022. This Data is gathered from the International Monitory fund. The GDP will be reflecting the socio economic and political status of country. It will give overall picture and it reflects the implications of various decisions good and bad.

The 'GDP Growth Rate QoQ' in China measures the quarterly change in the value of all goods and services produced within the country, reflecting the economy's performance over a three-month period.

We explore the correlation between the number of radios and televisions a country has each year, with the number of performing artists, sports players, and scientists born each year, after controlling for GDP, population, and adding country fixed effects and year fixed effects. Reported errors correspond to robust standard errors. All quantities are calculated yearly between 1850 and 1973, and are in log scale.

The 'GDP Growth Rate QoQ Final' in Ireland measures the percentage change in the value of all goods and services produced in the country from one quarter to the next, adjusted for inflation.

This dataset is extracted from https://en.wikipedia.org/wiki/List_of_countries_by_GDP_-PPP-_per_capita. Context: There s a story behind every dataset and heres your opportunity to share yours.Content: What s inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too. Acknowledgements:We wouldn t be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.Inspiration: Your data will be in front of the world s largest data science community. What questions do you want to see answered?

This table presents annual data on the output components, the final expenditure categories and the income components of gross domestic product of the Netherlands. In the national accounts gross domestic product is approached from three points of view: from the output, from the generation of income and from the final expenditure. Gross domestic product is a main macroeconomic indicator. The volume change of gross domestic product is a measure for the economic growth of a country.

Data available from: 1969 up to and including 2016.

Status of the figures: Data from 1969 up to and including 2015 are final. Data of 2016 are provisional. Since this table has been discontinued, data of 2016 will not become final.

Changes as of June 22nd 2018: None. This table has been discontinued. Statistics Netherlands has carried out a revision of the national accounts. New statistical sources and estimation methods have been used during the revision. Therefore this table has been replaced by table Approaches of domestic product (GDP); National Accounts. For further information see section 3.

When will new figures be published? Not applicable anymore.

This dataset provides values for GOLD RESERVES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

The Gross Domestic Product (GDP) in India expanded 8.20 percent in the third quarter of 2025 over the same quarter of the previous year. This dataset provides - India GDP Annual Growth Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Description

GDP_data_2015_to_2019_Finland_Norway_Sweden.csv is a csv file of the gross domestic product (GDP) data was obtained from The World Bank website. Hopefully it will be of use in the Tabular Playground Series - Jan 2022 competition.

Update (September 2022): GDP_data_2015_to_2021_for_TPS_Sept_2022.csv is a csv file of the GDP data was obtained from The World Bank website. Hopefully it will be of use in the Tabular Playground Series - Sep 2022 competition. * The data is in billion current US$ * The years are 2015-2021 * The 6 countries are * Belgium * France * Germany * Italy * Poland * Spain

The gross domestic product (GDP) of Papua New Guinea (PNG) grew at an annual average rate of nearly 7% between 2007 and 2010, and is expected to perform even better in 2011. Moreover, the economy remained unaffected even at the peak of the global economic crisis, when most other major Southeast Asian and Pacific economies recorded low or negative GDP growth rates. Sound macroeconomic management in the recent past and planned initiatives such as the PNG LNG Project indicate that the economy will continue to perform well in the medium to long run. Nevertheless, the country faces a number of development challenges. Per capita GDP and its growth rate remain low. The economy is heavily dependent on the mining and resource sectors, and hence remains vulnerable to fluctuations in the global markets. A majority of the people in the labor force work in the informal sector, and opportunities for productive employment in the formal sector continue to grow very slowly. Provision of public services, including education, health, and safe drinking water and sanitation, remains inadequate, especially in the rural areas.