Tertiary education, academic staff (% female)
Definition: Tertiary education, academic staff (% female) is the share of female academic staff in tertiary education.
Description: The map below shows how Tertiary education, academic staff (% female) 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 Myanmar, with a value of 80.14. The country with the lowest value in the world is Guinea, with a value of 3.46.
Source: United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.
Development Relevance: The share of female teachers shows the level of gender representation in the teaching force. A value of greater than 50% indicates more opportunities or preference for women to participate in teaching activities. Women teachers are important as they serve as role models to girls and help to attract and retain girls in school.
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: The share of female academic staffs in tertiary education is calculated by dividing the total number of female academic staffs at tertiary level of education by the total number of academic staffs at the same level, and multiplying by 100. 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