A few years ago, Melinda and I visited with a group of rice farmers in Bihar, India, one of the most flood-prone regions of the country. All of them were extremely poor and depended on the rice they grew to feed and support their families. When the monsoon rains arrived each year, the rivers would swell, threatening to flood their farms and ruin their crops. Still, they were willing to bet everything on the chance that their farm would be spared. It was a gamble they often lost. Their crops ruined, they would flee to the cities in search of odd jobs to feed their families. By the next year, however, they would return – often poorer than when they left – ready to plant again.



Even in good financial times, development aid budgets are hardly overflowing. Government leaders and donors must make hard decisions about where to focus their limited resources. How do you decide which countries should get low-cost loans or cheaper vaccines, and which can afford to fund their own development programs?

The answer depends, in part, on how we measure growth and improvements in people’s lives. Traditionally, one of the guiding factors has been per capita GDP – the value of goods and services produced by a country in a year divided by the country’s population. Yet GDP may be an inaccurate indicator in the poorest countries, which is a concern not only for policymakers or people like me who read lots of World Bank reports, but also for anyone who wants to use statistics to make the case for helping the world’s poorest people.




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