Dataset Description
Age heaping refers to the tendency for age data collected in surveys or censuses to be disproportionately reported at certain "attractive" or "round" numbers. This phenomenon often manifests itself in ages being reported at numbers that end in 0 or 5.
For example, when people are asked their age, they might be more likely to report it as 30, 35, 40, etc., rather than the exact age of 31, 36, or 39.
The authors of this dataset use this "age heaping" to measure gender inequality in cognitive ability in quantitative reasoning, or "numeracy" and construct a database of age heaping-based estimates of basic numeracy with broad geographic and temporal coverage.
The higher the measure of gender equality, the lower the share of women rounding up or down their age in comparison to men rounding up or down in a certain country. A positive (negative) gender equality index implies a female (male) numeracy advantage.
Related Datasets
-
Mean Years In School (women 35 To 44 Years)
@gapminder
-
Mean Years In School (women 45 To 54 Years)
@gapminder
-
Mean Years In School (women 25 To 34 Years)
@gapminder
-
Mean Years In School (women 55 To 64 Years)
@gapminder
-
Mean Years In School (men 35 To 44 Years)
@gapminder