Various factor some into play to drive the migration patterns to the cities. These include as liveability and attractiveness of a city.
Quality of Life Rankings
As per the recent Oxford Economics Global Cities Index, major Indian cities like Mumbai, Delhi and Bengaluru have ranked lower than Kochi, Thrissur.
The parameter of ‘Quality of Life’ contains indicators that measure the benefits of living in each city and residents’ wellbeing, covering financial and health outcomes, as well as access to amenities.
When the report ranked the cities basis their quality of life, India’s financial capital ranked 915, whereas the national capital ranked 838.
The Silicon Valley of India stood at 847, whereas the city of Pearls Hyderabad stood at 882.
Notably, cities like Kochi and Thrissur did better than the above and stood at 765 and 757 respectively.
Despite the lower rankings, cities like Mumbai, Delhi, and Bengaluru stood at 427, 350 and 411 respectively.
Topping the chart is New York, followed by London, San Jose and Tokyo.
A Multifaceted Analysis to Assess Global City Rankings
As per the Oxford Index in the report, “An uneven economic outlook across regions and lingering inflationary concerns could negatively impact the Economics score of many locations. Along similar lines, debt sustainability continues to be an issue for many developing countries following the Covid-19 pandemic and a period of heightened interest rates, which further threatens the economies of cities in these countries”.
The index considers below 5 categories along with its weight to rank the cities:
- Economics (30%)
- Human Capital (25%)
- Quality of Life (25%)
- Environment (10%)
- Governance (10%)
The report said that “After we collected data for each indicator for all cities, we created a normalised score for each indicator by assigning the highest-scoring city a score of 100 for that indicator, the lowest-scoring city a score of 0, and distributing the rest of the cities’ scores across that range. We combined the scores for each indicator within a category to create a total score for that category for each city. We then normalised the total score for each category, and calculated the city’s final overall score by taking a weighted average of each category’s normalised score”.
