School enrollment, primary (gross), gender parity index (GPI)
Definition: Gender parity index for gross enrollment ratio in primary education is the ratio of girls to boys enrolled at primary level in public and private schools.
Description: The map below shows how School enrollment, primary (gross), gender parity index (GPI) varies by country. The shade of the country corresponds to the magnitude of the indicator. The darker the shade, the higher the value. The country with the highest value in the world is Senegal, with a value of 1.12. The country with the lowest value in the world is Somalia, with a value of 0.55.
Source: United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.
Development Relevance: The Gender Parity Index (GPI) indicates parity between girls and boys. A GPI of less than 1 suggests girls are more disadvantaged than boys in learning opportunities and a GPI of greater than 1 suggests the other way around. Eliminating gender disparities in education would help increase the status and capabilities of women.
Other Notes: Each economy is classified based on the classification of World Bank Group's fiscal year 2017 (July 1, 2016-June 30, 2017).
Statistical Concept and Methodology: This indicator is calculated by dividing female gross enrollment ratio in primary education by male gross enrollment ratio in primary education. Data on education are collected by the UNESCO Institute for Statistics from official responses to its annual education survey. All the data are mapped to the International Standard Classification of Education (ISCED) to ensure the comparability of education programs at the international level. The current version was formally adopted by UNESCO Member States in 2011. The reference years reflect the school year for which the data are presented. In some countries the school year spans two calendar years (for example, from September 2010 to June 2011); in these cases the reference year refers to the year in which the school year ended (2011 in the example).
Aggregation method: Weighted average