Executive Summary

The relationship between a country’s level of development and it’s people’s quality of life, is being analyzed in this work.

It is evident from common macroeconomic theories, that people generally benefit from a country’s continuous development, which in turn, increases the speed of development of that particular country. We consider all the BRICS (Brazil, Russia, India, China, and South Africa) countries, for this project. Detailed empirical analyses were performed to evaluate, whether people’s quality of life actually improved, using thorough measurement metrics.

Through our analysis, we conclude that:

  1. All the countries (in our case, all the BRICS countries) have enjoyed continuous growth, but the global financial crisis, that happened in 2008, made this growth much slower, and for some countries, the growth nearly stopped.

  2. People’s quality of life improved a lot with growth, in each country. Hence it is consistent with our testing hypothesis that people will benefit from a country’s growth and development.

  3. After the global financial crisis of 2008, growth was adversely affected, however, the improvement of people’s lives in each country, didn’t stop.

  4. For some BRICS countries, although they are still categorized as developing countries, but the quality of life of its citizens, improved a lot during these 14 years in terms of several welfare indicators, such as electricity access.

  5. However, there is still room for further improvement compared with other developed countries. For instance, only around half of the population has access to Internet for four out of five BRICS countries. It may be due to the large population base of those countries, however, it is still an indicator that continuous improvement is needed to improve people’s quality of life.

GDP per capita growth (annual %)


Data Visualization Result and Conclusion- GDP per capita growth (annual %)

Household final consumption expenditure per capita growth (annual %)


Data Visualization Result and Conclusion- Household final consumption expenditure per capita growth (annual %)

Access to electricity (% of population)


Data Visualization Result and Conclusion- Access to electricity (% of population)

Individuals using the Internet (% of population)


Data Visualization Result and Conclusion- Individuals using the Internet (% of population)

Renewable electricity output (% of total electricity output) and Renewable energy consumption (% of total final energy consumption)


Data Visualization Result and Conclusion- Renewable electricity output (% of total electricity output) and Renewable energy consumption (% of total final energy consumption)

Urban population growth (annual %)


Data Visualization Result and Conclusion-Urban population growth (annual %)

-Although the population growth is declining, total population still increased significantly.