Central Europe and the Baltics - School enrollment, preprimary, female (% gross)

The value for School enrollment, preprimary, female (% gross) in Central Europe and the Baltics was 92.64 as of 2020. As the graph below shows, over the past 50 years this indicator reached a maximum value of 92.64 in 2020 and a minimum value of 45.66 in 1970.

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. Preprimary education refers to programs at the initial stage of organized instruction, designed primarily to introduce very young children to a school-type environment and to provide a bridge between home and school.

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

See also:

Year Value
1970 45.66
1971 45.68
1972 46.50
1973 48.94
1974 51.81
1975 54.24
1976 55.04
1977 56.43
1978 58.23
1979 60.14
1980 61.86
1981 62.38
1982 60.79
1983 59.36
1984 57.93
1985 58.35
1986 58.82
1987 59.69
1988 61.08
1989 62.37
1990 61.41
1991 58.38
1992 55.33
1993 53.16
1994 51.94
1995 53.83
1996 55.20
1997 56.34
1998 57.94
1999 61.26
2000 62.29
2001 63.11
2002 64.43
2003 66.85
2004 68.51
2005 70.68
2006 72.18
2007 73.59
2008 74.38
2009 75.96
2010 78.11
2011 80.04
2012 81.41
2013 83.40
2014 83.63
2015 83.47
2016 83.14
2017 83.97
2018 88.48
2019 92.60
2020 92.64

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 pre-primary school is calculated by dividing the number of students enrolled in pre-primary education regardless of age by the population of the age group which officially corresponds to pre-primary 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