Secondary education, vocational pupils (% female)
Definition: Secondary vocational pupils are the number of secondary students enrolled in technical and vocational education programs, including teacher training.
Description: The map below shows how Secondary education, vocational pupils (% 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 Zimbabwe, with a value of 100.00. The country with the lowest value in the world is Oman, with a value of 0.00.
Source: United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.
Development Relevance: The share of girls allows an assessment on gender composition in school enrollment. A value greater than 50% indicates participation of more girls at a specific level or programme of education.
Limitations and Exceptions: The percentage of female enrollment is limited in assessing gender parity, because it's affected by the gender composition of population. Ratio of female to male in enrollment rate provides a population adjusted measure of gender parity.
Statistical Concept and Methodology: Percentage of female enrollment is calculated by dividing the total number of female students at a given level of education by the total enrollment 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