UNESCO Institute for Statistics indicator MOGER.5T8.40505.GPIA is the adjusted gender parity index for the mobile outbound gross enrolment ratio of tertiary students studying in Central Asia. The 155 reported countries and territories all refer to 2023, so the comparison does not mix observation years. The indicator compares the female and male outbound mobility ratios for this specific destination region rather than measuring overall tertiary participation or all international study destinations.
The 2023 median is 0.808 and the simple mean is 0.845. Only 3 of the 155 observations fall within the conventional 0.97–1.03 gender-parity band used by UNESCO UIS. 89 are below 0.97 and 63 are above 1.03. The unusually broad spread is the central feature of the data, but it should be interpreted as destination-specific mobility parity, not as a global ranking of gender equality in higher education.
Table of Contents
The destination is Central Asia, not all international study
The underlying mobile outbound gross enrolment ratio relates internationally mobile tertiary students from an origin country to the population in the five-year age group immediately following the end of upper secondary education. In this series, the destination is Central Asia. GPIA compares that mobility ratio for females with the corresponding ratio for males. The result therefore describes the gender pattern of one destination-specific flow.
This scope is essential. A country can have a low female-to-male balance for study in Central Asia while showing a very different pattern for Europe, North America, East Asia or international study overall. The indicator cannot be used to conclude that women from that country are generally less internationally mobile. It only shows how the female and male outbound ratios compare for this particular destination grouping.
Adjusted GPI is a 0–2 index centred on 1
The adjusted gender parity index is designed to be symmetrical around 1. When the female indicator value is less than or equal to the male value, the female-to-male ratio is used directly. When the female value is higher, the inverse ratio is transformed so that an equally sized disparity appears at the same distance on the other side of 1. The adjusted scale therefore runs from 0 to 2, with 1 representing parity.
For example, 0.8 and 1.2 are both 0.2 away from parity and represent differences of the same adjusted magnitude in opposite directions. For a mobility indicator like this one, it is better to describe values below 1 as a lower female outbound ratio to Central Asia and values above 1 as a higher female ratio, rather than automatically calling one side an advantage and the other a disadvantage. Studying in a particular destination is not itself an outcome that must be maximized.
Only three observations sit inside the 0.97–1.03 parity band
Only 3 of 155 observations are inside the conventional parity interval. Belarus is at 0.970, Gabon at 1.004 and the Cook Islands at 1.007. The middle half of the distribution ranges from 0.335 to 1.253, while the median is 0.808. The central value below 1 indicates that a lower female outbound ratio to Central Asia is more common than a higher female ratio among the reported origins.
90 observations are below 1 and 65 are above 1. That directional imbalance is notable, but it is not sufficient to identify a general gender disadvantage in tertiary education. Geographic proximity, language, scholarship systems, bilateral agreements, programme availability, migration networks and the size of the underlying student flow can all shape destination-specific mobility.
| Country or territory | Year | GPIA |
|---|---|---|
| Belarus | 2023 | 0.970 |
| Gabon | 2023 | 1.004 |
| Cook Islands | 2023 | 1.007 |
Source-reported zeros and twos are boundary values, not missing data
The official 2023 observations include 19 values equal to 0 and 14 equal to 2.0. Those are the lower and upper boundaries of the adjusted GPIA scale. They are not values created by filling missing countries with zero: the supplied source records all 155 rows as observed, with no missing values in the series used here.
Boundary values require careful interpretation. A destination-specific mobility ratio can be based on very small student flows, and an underlying female or male value that is zero or close to zero can push a parity index to an extreme. The GPIA alone does not provide the female and male base ratios or student counts, so the reason for any individual 0 or 2 cannot be established from this series alone.
Large differences remain even after excluding the boundaries
Among observations strictly between 0 and 2, Serbia has the highest value at 1.880, followed by Rwanda at 1.853, Madagascar at 1.826, Jamaica at 1.785, the United Republic of Tanzania at 1.753 and Maldives at 1.719. These values indicate a substantially higher female than male outbound gross enrolment ratio for tertiary study in Central Asia.
At the opposite end, Gambia is at 0.009, Djibouti 0.020, Togo 0.054, Bulgaria 0.096, Bosnia and Herzegovina 0.099 and Thailand 0.129. These indicate a much lower female outbound ratio to Central Asia. They should not be translated into claims about total numbers of students or all outbound mobility because the underlying population denominators and destination-specific flows are not shown here.
| Country or territory | Year | GPIA |
|---|---|---|
| Serbia | 2023 | 1.880 |
| Rwanda | 2023 | 1.853 |
| Madagascar | 2023 | 1.826 |
| Jamaica | 2023 | 1.785 |
| United Republic of Tanzania | 2023 | 1.753 |
| Maldives | 2023 | 1.719 |
| Gambia | 2023 | 0.009 |
| Djibouti | 2023 | 0.020 |
| Togo | 2023 | 0.054 |
| Bulgaria | 2023 | 0.096 |
| Bosnia and Herzegovina | 2023 | 0.099 |
| Thailand | 2023 | 0.129 |
The median of 0.808 is not a female-to-male percentage for all study abroad
The median of 0.808 is the middle country-level GPIA among the 155 origins. It would be incorrect to rewrite it as “women study abroad at 80.8% of the male rate.” The adjusted index is not always identical to an unadjusted female-to-male ratio, the destination is Central Asia rather than the world, and the median gives every country or territory the same weight regardless of student population.
The simple mean has the same country-weighting limitation. A small territory and a large country each contribute one value. A student-weighted global measure would require female and male mobility counts and the relevant age-group populations for every origin. This series is much better suited to describing the distribution of country-level parity values than estimating a worldwide student ratio.
Destination choice can produce a very different gender pattern
International student mobility is shaped by more than the decision to study abroad. Students also choose destinations, programmes and institutions. Those choices can interact with distance, language, family networks, visa rules, scholarship opportunities, tuition and the location of particular fields of study. A large GPIA departure from 1 can therefore reflect a destination-choice pattern even when overall international mobility is more balanced.
Comparing the same origins across other destination regions would help separate a Central Asia-specific pattern from a general outbound-mobility pattern. If a country’s GPIA is far from 1 only for Central Asia, destination-specific factors become more plausible. If the same direction appears across many destinations, the explanation may be broader. The current indicator alone cannot make that distinction.
The 19 zeros must remain distinct from no data
The 19 source-reported zeros have substantive meaning and should remain visible in tables and visualizations. Missing countries, by contrast, should remain unreported. Treating an absent country as 0 would incorrectly create an extreme gender disparity where no observation exists. The difference between a true boundary value and no data is especially important for parity indices.
The same caution applies to the 14 observations at 2.0. A value of 2 is the adjusted index ceiling; it should not be described as females having exactly twice the male mobility rate. The adjustment compresses ratios above 1 into a bounded scale, so the numerical value 2 is not a simple multiplicative statement.
What this indicator can and cannot tell us
The series can show the direction and magnitude of the gender difference in the 2023 outbound gross enrolment ratio for tertiary students studying in Central Asia. Because all 155 observations share the same year, it can support a clean cross-country comparison of destination-specific gender parity and identify origins near parity or far from it.
It cannot show the actual number of students, the specific Central Asian destination country, field of study, degree level, scholarship status or socioeconomic background. It also cannot identify the cause of a gender difference. Those questions require the underlying female and male mobility ratios, student counts and additional information about mobility systems.
The clearest finding from the 2023 distribution
The distribution is strikingly wide. Only 3 observations fall inside 0.97–1.03, while 19 are at 0 and 14 are at 2. The median is 0.808, and there are many observations far from 1 in both directions. The evidence therefore shows substantial variation across origin countries in the gender pattern of tertiary mobility to Central Asia.
The finding should remain tightly scoped. It is a comparison of one destination-specific mobility indicator, not a score of national gender equality, higher-education quality or overall internationalization. The most useful next step for extreme observations is to inspect the underlying female and male mobility ratios and student counts before drawing broader conclusions.
Source and interpretation limits
The source is UNESCO Institute for Statistics indicator MOGER.5T8.40505.GPIA for 2023. UIS defines adjusted parity indices on a 0–2 scale centred on 1, with 0.97–1.03 commonly treated as the parity range. The 155 published observations are retained as reported, including official zeros, and countries without an observation are not assigned zero.
A stronger follow-up analysis would combine the adjusted index with the underlying female and male mobile outbound gross enrolment ratios and the corresponding student counts. Repeating that comparison across destination regions would also show whether the gender pattern is specific to Central Asia or part of a broader mobility pattern.
Frequently Asked Questions
What does a GPIA value of 1 mean here?
It means the female and male mobile outbound gross enrolment ratios for tertiary study in Central Asia are equal.
Why is 0.97–1.03 used as the parity band?
UNESCO UIS commonly uses this range to allow small variations around exact parity rather than treating every tiny difference as substantive.
Do values of 0 or 2 mean the data are missing?
No. In this 2023 series they are source-reported boundary values and must be kept separate from countries with no observation.
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