Since the beginning of the 21st century, the BRICS countries have been considered the five foremost developing economies in the world. Originally, the term BRIC was used by economists when talking about the emerging economies of Brazil, Russia, India, and China, however these countries have held annual summits since 2009, and the group has expanded to include South Africa since 2010. China has the largest GDP of the BRICS country, at 16.86 trillion U.S. dollars in 2021, while the others are all below three trillion. Combined, the BRICS bloc has a GDP over 25.85 trillion U.S. dollars in 2022, which is slightly more than the United States. BRICS economic development China has consistently been the largest economy of this bloc, and its rapid growth has seen it become the second largest economy in the world, behind the U.S.. China's growth has also been much faster than the other BRICS countries; for example, when compared with the second largest BRICS economy, its GDP was less than double the size of Brazil's in 2000, but is almost six times larger than India's in 2021. Since 2000, the country with the second largest GDP has fluctuated between Brazil, Russia, and India, due to a variety of factors, although India has held this position since 2015 (when the other two experienced recession), and it's growth rate is on track to surpass China's in the coming decade. South Africa has consistently had the smallest economy of the BRICS bloc, and it has just the third largest economy in Africa; its inclusion in this group is due to the fact that it is the most advanced and stable major economy in Africa, and it holds strategic importance due to the financial potential of the continent in the coming decades. Future developments It is predicted that China's GDP will overtake that of the U.S. by the end of the 2020s, to become the largest economy in the world, while some also estimate that India will also overtake the U.S. around the middle of the century. Additionally, the BRICS group is more than just an economic or trading bloc, and its New Development Bank was established in 2014 to invest in sustainable infrastructure and renewable energy across the globe. While relations between its members were often strained or of less significance in the 20th century, their current initiatives have given them a much greater international influence. The traditional great powers represented in the Group of Seven (G7) have seen their international power wane in recent decades, while BRICS countries have seen theirs grow, especially on a regional level. Today, the original BRIC countries combine with the Group of Seven (G7), to make up 11 of the world's 12 largest economies, but it is predicted that they will move further up on this list in the coming decades.

For most of the past two decades, China had the highest GDP growth of any of the BRICS countries, although it was overtaken by India in the mid-2010s, and India is predicted to have the highest growth in the 2020s. All five countries saw their GDP growth fall during the global financial crisis in 2008, and again during the coronavirus pandemic in 2020; China was the only economy that continued to grow during both crises, although India's economy also grew during the Great Recession. In 2014, Brazil experienced its own recession due to a combination of economic and political instability, while Russia also went into recession due to the drop in oil prices and the economic sanctions imposed following its annexation of Crimea.

In 2021, the BRICS countries with the highest estimated GDP per capita were Russia and China, with between 12,000 and 13,000 U.S. dollars per person. Brazil and South Africa's GDP per capita are thought to be closer to the 7,000 mark, while India's GDP per capita is just over 2,000 U.S. dollars. This a significant contrast to figures for overall GDP, where China has the largest economy by a significant margin, while India's is the second largest. The reason for this disparity is due to population size. For example, both China's population and overall GDP are roughly 10 times larger than those of Russia, which results in them having a comparable GDP per capita. Additionally, India's population is 23 times larger than South Africa's, but it's GDP is just seven times larger; this results in South Africa having a higher GDP per capita than India, despite it being the smallest of the BRICS economies.

The aim of the article is to compare health system outcomes in the BRICS countries, assess the trends of their changes in 2000−2017, and verify whether they are in any way correlated with the economic context. The indicators considered were: nominal and per capita current health expenditure, government health expenditure, gross domestic product (GDP) per capita, GDP growth, unemployment, inflation, and composition of GDP. The study covered five countries of the BRICS group over a period of 18 years. We decided to characterize countries covered with a dataset of selected indicators describing population health status, namely: life expectancy at birth, level of immunization, infant mortality rate, maternal mortality ratio, and tuberculosis case detection rate. We constructed a unified synthetic measure depicting the performance of individual health systems in terms of their outcomes with a single numerical value. Descriptive statistical analysis of quantitative traits consisted of the arithmetic mean (xsr), standard deviation (SD), and, where needed, the median. The normality of the distribution of variables was tested with the Shapiro–Wilk test. Spearman's rho and Kendall tau rank coefficients were used for correlation analysis between measures. The correlation analyses have been supplemented with factor analysis. We found that the best results in terms of health care system performance were recorded in Russia, China, and Brazil. India and South Africa are noticeably worse. However, the entire group performs visibly worse than the developed countries. The health system outcomes appeared to correlate on a statistically significant scale with health expenditures per capita, governments involvement in health expenditures, GDP per capita, and industry share in GDP; however, these correlations are relatively weak, with the highest strength in the case of government's involvement in health expenditures and GDP per capita. Due to weak correlation with economic background, other factors may play a role in determining health system outcomes in BRICS countries. More research should be recommended to find them and determine to what extent and how exactly they affect health system outcomes.

The BRICS countries overtook the G7 countries share of the world's total gross domestic product (GDP) in terms of purchasing power parity (PPP) in 2018. By 2024, the difference had increased even further, the BRICS now holding a total 35 percent of the world's GDP compared to 30 percent held by the G7 countries.

This dataset comprises 348 files, each representing a unique economic indicator for the BRICS nations—Brazil, Russia, India, China, and South Africa—spanning from 1970 to 2020. The dataset includes a wide array of economic metrics such as government consumption expenditure, GDP growth, adjusted savings, and various other national accounts data. This comprehensive dataset is ideal for economic research, financial analysis, and policy evaluation, offering a robust foundation for exploring economic trends and making data-driven decisions.

Key Features: - Diversity of Indicators: Covers a wide range of economic indicators, including net national income, government expenditure, GDP, and more. - Historical Coverage: Provides data spanning five decades, enabling both historical trend analysis and long-term forecasting. - Country Focus: Specifically tailored to the BRICS nations, offering insights into some of the world’s most influential emerging economies.

Usage

This dataset can be utilized for various purposes, such as: - Economic Analysis: Researchers can use the dataset to study economic trends and performance in BRICS countries. - Machine Learning: Data scientists can train models to predict future economic indicators or identify patterns in the data. - Policy Development: Policymakers can analyze the data to develop informed strategies for economic development.

Example Use Case: Suppose you want to analyze the trend in GDP per capita growth across BRICS nations. You could load the relevant files, clean the data, and use statistical tools or machine learning models to study the trend and make predictions.

System

This dataset is self-contained and can be integrated into broader economic research systems. The data files are in CSV format, making them easy to load and manipulate with standard data analysis tools like Python, R, and Excel.

Integration: While the dataset is standalone, it can be combined with other datasets or models for more complex analyses, such as predicting future economic performance or simulating policy impacts.

Data Provenance

The dataset is sourced from the World Bank’s BRICS Economic Indicators, a trusted and comprehensive source of economic data. The data was compiled, cleaned, and structured to facilitate easy analysis and integration into various analytical workflows.

Source: Kaggle - BRICS World Bank Indicators Dataset Coverage: The dataset includes data from Brazil, Russia, India, China, and South Africa, from 1970 to 2020.

Data Preprocessing: Each file was cleaned to remove inconsistencies, and missing values were handled appropriately to ensure the quality and reliability of the data.

Data Overview

The dataset is organized into 348 CSV files, each focusing on a specific economic indicator. Examples include: - GDP per Capita (Constant 2010 US$): Tracks the GDP per capita adjusted for inflation. - Government Final Consumption Expenditure (% of GDP): Measures government spending as a percentage of GDP. - Adjusted Net Savings: Accounts for environmental depletion and degradation in national savings.

Each file contains the following columns: - SeriesName: Describes the economic indicator. - CountryName: The name of the BRICS country. - Year: The year the data was recorded. - Value: The numerical value of the indicator for that year.

This dataset provides a rich resource for anyone looking to delve into the economic history and performance of BRICS countries, offering the data necessary to explore past trends and project future developments.

This ranking displays the results of the worldwide Made-In-Country Index 2017, a survey conducted to show how positively products "made in..." are perceived in various countries all over the world. During this survey, 12 percent of respondents from Canada perceived products made in Russia as "slightly positive" or "very positive".

This dataset provides annual GDP data for 196 countries from 2005 to 2025, measured in USD billions. Data is sourced from the International Monetary Fund (IMF).

Coverage: 196 countries + header row Time span: 2005–2024 (reported), 2025 (projected) Notable trends: The data clearly shows the impact of the 2008 global financial crisis and the 2020 COVID-19 pandemic on world economies. Missing values: In some cases, GDP values are unavailable because countries did not report them.

Usability

Trend analysis — Study global and regional GDP growth patterns across two decades.

Forecasting models — Train ARIMA, Prophet, LSTM, or other models to predict future GDP.

Comparative studies — Benchmark economic performance between countries, continents, or economic blocs (e.g., G7, BRICS).

Impact assessment — Analyze the effect of global events such as the 2008 crisis and COVID-19 on GDP.

Correlation research — Combine with other datasets (population, inflation, CO₂ emissions) for cross indicator analysis.

Visualization projects — Build dashboards, choropleth maps, or interactive charts to illustrate global growth.

Educational use — Teach concepts of macroeconomics, time series data, and forecasting in classrooms.

Investment & policy insights — Support macro level decision making, financial market analysis, or policy research.

This statistic displays the results of the worldwide Made-In-Country Index 2017, a survey conducted to show how positively products "made in..." are perceived in various countries all over the world. For this statistic, respondents were asked about attributes they associate with products made in Russia. 17 percent of respondents stated they associate "advanced technology" with products from Russia.

A brief description of the provided GDP data for G20 & BRICS countries from 2008 to 2021 in five lines:

The data represents the Gross Domestic Product (GDP) of G20 countries, a group of major economies, over a 15-year period from 2008 to 2022.

It shows the varying economic sizes of G20 nations, with China and the United States consistently having the largest GDP, while smaller economies like Argentina and South Africa have considerably smaller GDPs.

Notably, the COVID-19 pandemic in 2020 had a significant impact, causing some countries' GDPs to contract temporarily before rebounding in 2021.

Japan, despite its size, experienced relatively stable GDP growth, while emerging economies like India and Indonesia demonstrated notable expansion over the years.

The European Union (EU) is not individually listed but represents a significant portion of the global economy, contributing to the overall global GDP figures.

This dataset contains the variables used in this power sector policy paper, expect CO2 emission intensity (IEA database) data due to IEA licensing agreement as the product was purchased from them. The dataset contains data on 34 OECD countries (while the analysis only included 34) and 5 BRICS countries, from 1990 - 2019. The power sector policy paper uses a time period from 2000-2018 (with some models running to 2019 using IEA estimates).

The variables used in the analysis are: - CO2 emission intensity per KWh (Data not included due to copy right from IEA, 3 example data points included for refererence). - Emission trading system price, both national and with adjusted price by relative size for sub-national systems (Cross-referenced from several sources). - Feed-in tariffs for solar PV and wind (OECD.Stat database). - Public environmental R&D and patent data on climate change mitigation technologies related to (1) energy generation, transmission or distribution (OECD.Stat green growth database). - Industrial energy consumption (OECD.Stat database). - GDP per capita, Industry share of GDP, Residental electricity consumption (World bank indicators). - Installed renewable energy capacity (IRENA database).

Trade facilitation is essential for enhancing the import and export of agricultural products between China and BRICS countries. Improving trade efficiency and identifying potential opportunities contribute to establishing formal cooperation mechanisms among nations, laying a robust foundation for the development and collaboration of BRICS countries post-expansion. This study developed a comprehensive indicator system and employed principal component analysis to assess trade facilitation levels among BRICS member states. Additionally, we employed a stochastic frontier gravity model to examine the trade efficiency and potential impact of BRICS trade facilitation on China’s agricultural imports and exports from 2009 to 2022. The findings suggest that the overall level of trade facilitation in BRICS countries remains relatively low, with considerable scope for enhancement. The United Arab Emirates exhibits the highest level of trade facilitation, whereas Ethiopia shows the lowest. Factors such as economic status, business environment, and advancements in technology positively influence trade efficiency, while inadequate infrastructure impedes it. A notable disparity exists in the average trade efficiency of agricultural imports and exports between China and BRICS countries, with Russia displaying the highest efficiency and Iran the lowest. Brazil demonstrates significant trade potential, whereas the trade demand between Iran and China is comparatively minimal. The results are important for policymakers, pointing to the need for specialized trade policies and agricultural management strategies that reflect the diverse characteristics and challenges within BRICS economies.

Context

The purpose behind this dataset was, initially, to visualize, compare and understand how emerging economies are developing, both in relation to each other and internally. Since the data provided by The World Bank is very insightful, I've decided to gather it in a standardized and updated format and upload it, so others can also provide us with better analysis and, perhaps, better insights into each country's economies.

Content

This dataset contains 5 files: Economy, EducationAndEnvironment, HealthAndPoverty, PrivateSector and PublicSector data. All files are formatted in the following structure:

SeriesName | SeriesCode | CountryName | CountryCode | Year | Value

Acknowledgements

The data present in this dataset is only possible due to the work and services of https://databank.worldbank.org.

Inspiration

Is it possible to extract some fundamental correlations between emerging economies and their impacts on social welfare? What are the relations between a country's education expenditure and their employment rate? What other aspects of society can we better understand through this data and avoid common pitfalls that have occurred to other countries?

These are research indicators of comparative empirical investigation of Central and Eastern European Countries (CEECs) and the BRICS that were compiled from the criteria and factors of the World Bank. This dataset consists of data for CEECs and the BRICS for the period of 2000 to 2016. The World Bank Research Indicators consist of (1) GNI, Atlas Method (Current US$); (2) GNI per capita, Atlas; (3) GNI PPP (Current International $); (4) GNI per capita, PPP (Current International $); (5) Energy Use (kg of Oil Equivalent per capita); (6) Electric Power Consumption (kWh per capita); (7) GDP (Current US$); (8) GDP Growth (Annual %); (9) Inflation, GDP Deflator (Annual %); (10) Agriculture, Value Added (% of GDP); (11) Industry, Value Added (% of GDP); (12) Service, etc., Value Added (% of GDP); (13) Exports of Goods and Services (% of GDP); (14) Imports of Goods and Services (% of GDP); (15) Gross Capital Formation (% of GDP); (16) Revenue, excluding Grants (% of GDP); (17) Time Required to Start a Business (Days); (18) Domestic Credit Provided by Financial Sector (% of GDP); (19) Tax Revenue (% of GDP); (20) High-Technology Exports (% of Manufactured Exports); (21) Merchandise Trade (% of GDP); (22) Net Barter Terms of Trade Index (2000 = 100); (23) External Debt Stock, Total (DOD, Current US$); (24) Total Debt Service (% of Exports of Goods, Services and Primary Income); (25) Personal Remittances, Received (Current US$); (26) Foreign Direct Investment, Net Flows (BoP, Current US$); and (27) Net Official Development Assistance and Official Aid Received (Current US$). Furthermore, statistical data of CEECs and the BRICS were retrieved from Atlas 2.1 – Growth Lab at the Center for International Development at Harvard University; UN Comtrade Maps; WITS – UNSD Comtrade and ITC.

The combined value of the gross domestic product (GDP) in purchasing power parity (PPP) of the BRICS Plus countries increased significantly since 2000, overtaking that of the G7 in 2015. This is mainly due to the economic development of China over the past decades.

{"Abstract of associated article: Ecological and biophysical economists and historians of economics consider that availability of energy inputs has played a key role in driving economic growth in industrialized and emerging economies. Nevertheless, being very sensitive to structural characteristics or stages of economic development, the strength of this link differs among countries. This study analyzes the role of energy in economic growth from a geographical standpoint by estimating an aggregate translog production function, with human and physical capital and productive energy use as production factors, within a growth framework. Panel data of 38 major countries for the period from 1995 to 2007 were used. The strength of the link between energy and growth is analyzed for the whole sample and the following relevant country groups: OECD, BRIC, NAFTA, East Asian, East European and EU15 countries. Obtained results show that the calculated productivity elasticities with respect to energy use are positive for all country groups. BRIC countries have higher elasticities, around 0.37, and EU15 countries have lower elasticities, around 0.12. Weak substitutability relationships between energy and capital are observed for all groups, except for BRIC and East European countries, which show complementarity relationships."}

Abstract of associated article: Ecological and biophysical economists and historians of economics consider that availability of energy inputs has played a key role in driving economic growth in industrialized and emerging economies. Nevertheless, being very sensitive to structural characteristics or stages of economic development, the strength of this link differs among countries. This study analyzes the role of energy in economic growth from a geographical standpoint by estimating an aggregate translog production function, with human and physical capital and productive energy use as production factors, within a growth framework. Panel data of 38 major countries for the period from 1995 to 2007 were used. The strength of the link between energy and growth is analyzed for the whole sample and the following relevant country groups: OECD, BRIC, NAFTA, East Asian, East European and EU15 countries. Obtained results show that the calculated productivity elasticities with respect to energy use are positive for all country groups. BRIC countries have higher elasticities, around 0.37, and EU15 countries have lower elasticities, around 0.12. Weak substitutability relationships between energy and capital are observed for all groups, except for BRIC and East European countries, which show complementarity relationships.

Fitness variation from 2003 to 2013 of BRIC countries.

Since 2000, China has consistently been the largest exporter of goods among the BRICS countries, and its share of exports from the bloc has increased significantly. In the year 2000, China's share of BRICS exports was just over ** percent; in 2020, this share has risen to ** percent. Among the other BRICS countries, Russia has always had the second-largest share of exports, and South Africa the smallest, while India overtook Brazil in 2009.

In 2023, it is estimated that the BRICS countries have a combined population of 3.25 billion people, which is over 40 percent of the world population. The majority of these people live in either China or India, which have a population of more than 1.4 billion people each, while the other three countries have a combined population of just under 420 million. Comparisons Although the BRICS countries are considered the five foremost emerging economies, they are all at various stages of the demographic transition and have different levels of population development. For all of modern history, China has had the world's largest population, but rapidly dropping fertility and birth rates in recent decades mean that its population growth has slowed. In contrast, India's population growth remains much higher, and it is expected to overtake China in the next few years to become the world's most populous country. The fastest growing population in the BRICS bloc, however, is that of South Africa, which is at the earliest stage of demographic development. Russia, is the only BRICS country whose population is currently in decline, and it has been experiencing a consistent natural decline for most of the past three decades. Growing populations = growing opportunities Between 2000 and 2026, the populations of the BRICS countries is expected to grow by 625 million people, and the majority of this will be in India and China. As the economies of these two countries grow, so too do living standards and disposable income; this has resulted in the world's two most populous countries emerging as two of the most profitable markets in the world. China, sometimes called the "world's factory" has seen a rapid growth in its middle class, increased potential of its low-tier market, and its manufacturing sector is now transitioning to the production of more technologically advanced and high-end goods to meet its domestic demand.