World Development Indicators (WDI)
Some WDIs - such as life expectancy and agriculture - contribute to HDI (Human Development Index) more than others. The model score from 0 to 1 indicates how predictive or relevant the indicators are to HDI - independent of the actual values. A model score greater than or equal to 0.8 is considered a good predictive model.
Human Development Index (HDI) is a measure of how developed a country is from a scale of 0 to 1. Developed countries are defined as having HDI > 0.8. Use the form to either test a country's known WDI values or test different values to help predict HDI.
Try it out!
Let's try some examples. In 2017, the U.S. had an average life expectancy (from birth) of 78.5 years; GDP per capita was $59,928; GNI per capita was $59,030; population was 325 million; agriculture was 0.92% of GDP. What was the HDI in the U.S. in 2017? What would happen if life expectancy dropped to 60? What if you only knew the value for GDP per capita, for example $60,000? You might get a prediction, but the model score would be low and therefore not be a reliable indicator for HDI. Using the model to test different indicators, we can discover which ones have more of an affect on HDI and what values can result in a high HDI, thus helping with goal setting for different countries.
Primary WDIs v. Secondary WDIs
The form above focuses on primary WDIs because of the difference in data size between primary and secondary WDIs. For the primary WDIs, we had about 3,600 combined data points recorded since 1991. For the secondary WDIs, we had less than 1,000 data points each starting in 2014. We decided not to combine the primary and secondary WDIs so as not to adversely affect the accuracy of the multilinear model score above.