Czech Republic - School enrollment, secondary, male (% gross)

The value for School enrollment, secondary, male (% gross) in Czech Republic was 100.82 as of 2019. As the graph below shows, over the past 48 years this indicator reached a maximum value of 104.61 in 2015 and a minimum value of 80.20 in 1998.

Definition: Gross enrollment ratio is the ratio of total enrollment, regardless of age, to the population of the age group that officially corresponds to the level of education shown. Secondary education completes the provision of basic education that began at the primary level, and aims at laying the foundations for lifelong learning and human development, by offering more subject- or skill-oriented instruction using more specialized teachers.

Source: UNESCO Institute for Statistics (http://uis.unesco.org/)

See also:

Year Value
1971 82.41
1972 82.70
1973 82.67
1974 82.84
1975 84.50
1976 87.28
1977 90.01
1978 91.53
1979 92.60
1980 92.36
1982 100.47
1983 96.96
1984 92.40
1985 90.95
1986 89.33
1987 85.97
1988 83.96
1989 95.00
1990 95.16
1991 90.86
1992 84.26
1993 85.11
1994 89.48
1995 92.55
1996 96.30
1997 86.25
1998 80.20
1999 81.17
2000 87.41
2001 93.25
2002 94.08
2003 95.14
2004 94.70
2005 94.82
2006 95.24
2007 94.30
2008 93.54
2009 93.29
2010 94.38
2011 95.70
2012 96.70
2013 103.64
2014 104.46
2015 104.61
2016 104.21
2017 103.13
2018 102.09
2019 100.82

Development Relevance: Gross enrollment ratios indicate the capacity of each level of the education system, but a high ratio may reflect a substantial number of overage children enrolled in each grade because of repetition or late entry rather than a successful education system. The net enrollment rate excludes overage and underage students and more accurately captures the system's coverage and internal efficiency. Differences between the gross enrollment ratio and the net enrollment rate show the incidence of overage and underage enrollments.

Limitations and Exceptions: Enrollment indicators are based on annual school surveys, but do not necessarily reflect actual attendance or dropout rates during the year. Also, the length of education differs across countries and can influence enrollment rates, although the International Standard Classification of Education (ISCED) tries to minimize the difference. For example, a shorter duration for primary education tends to increase the rate; a longer one to decrease it (in part because older children are more at risk of dropping out). Moreover, age at enrollment may be inaccurately estimated or misstated, especially in communities where registration of births is not strictly enforced.

Other Notes: Data retrieved via API in March 2019. For detailed information on the observation level (e.g. National Estimation, UIS Estimation, or Category not applicable), please visit UIS.Stat (http://data.uis.unesco.org/).

Statistical Concept and Methodology: Gross enrollment ratio for secondary school is calculated by dividing the number of students enrolled in secondary education regardless of age by the population of the age group which officially corresponds to secondary education, 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. Population data are drawn from the United Nations Population Division. Using a single source for population data standardizes definitions, estimations, and interpolation methods, ensuring a consistent methodology across countries and minimizing potential enumeration problems in national censuses. 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

Periodicity: Annual

Classification

Topic: Education Indicators

Sub-Topic: Participation