The Roser article describes the different effects, impact, and causes of a global shift towards each country becoming more literate. Max Roser describes that in the last 120 years the world has seen it’s literacy rate change from 12% to 83%. However, he does describe many impoverished countries that are well below the 83% mark of literacy. Niger, for example, is boasting a 36% rate. The most interesting point that Roser discusses is about the difference in gender literacy rates. He uses the continents of Africa and Asia as examples of how gender literacy is becoming more even. It is clear by 2015 that India, China, and South Africa have nearly the same rate of literacy among their 15-24 year olds, despite gender. However gender is but one of the many factors that a country has to consider when dealing with literacy rates. Some others are, race, socioeconomic status, and age.
An interesting piece of information that Roser indulges on is how many experts collect and interpret data on literacy. He describes the use of a census in the 1940’s as being able to accurately compare the number of years of schooling to literacy rates in the U.S. The census concluded that there was nearly a 70% difference between 4 years of schooling and no years of schooling, relating to literacy rates.
Another important fact that Roser describes is the generational difference in literacy rates. He uses the Middle East and Northern Africa as examples of this. Stating that, “only less than a third of the older generation is literate – while in contrast, more than 90% of the younger generation is literate” (Roser, ourworldindata.org). The reasoning behind this is simple, most countries don’t want to stress literacy for their citizens over middle age, whereas the younger generation has been socialized with a new appreciation for literacy.
Now the most important aspect of the article is how Roser analyzes the methods of collecting literacy data. The most interesting aspect of this is that in 2010 less then 30 countries in the world took an actual test for literacy. Most of the other countries in the world used a ‘self-reported’ model, where either heads of households or individuals described if they, or their household, were literate or not. Not to say that they aren’t accurate, but it seems a literacy test, directed by the government, would be the ideal way to understanding a countries literacy rate.
Finally, although seemingly obvious, Roser concludes that individuals, despite race, gender, or economic status, who have more years of schooling are boasting higher rates of literacy.
Works Cited:
Max Roser and Esteban Ortiz-Ospina (2018) – “Literacy”. Published online at OurWorldInData.org. Retrieved from: ‘https://ourworldindata.org/literacy’ [Online Resource]


