Réunion

REU

Eastern Africa · Africa

The circle shows each metric's percentile rank (position among countries with data), which is comparable across metrics. Each metric's native score uses its own scale and is not comparable between metrics — see it (and the full formula) in “How is this calculated?”.

4 metrics for this country

Education

Mean years of schoolingTier A
100 = most years of schooling in the dataset, 0 = fewest
Ranks 90th of 146 · native score 52.99 · reference year 2020
39percentile
How is this calculated?
Metric
Mean years of schooling
Scale
100 = most years of schooling in the dataset, 0 = fewest
Raw value
8.71 years
Native score
52.99 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
39th percentile — ranks 90th of 146. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (8.71 − 3.04) / (13.74 − 3.04) = 52.99
Min and max are this dataset's lowest (3.04) and highest (13.74) values, so the score is relative to the current country set.
Source
Our World in Data · Our World in Data
License
CC BY 4.0
Reference year
2020
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
Mean years of schooling series compiled by Our World in Data from UNDP Human Development Report and UNESCO education statistics.

Demographics & migration

Median ageTier ADescriptive
100 = oldest median age, 0 = youngest — descriptive, not better or worse
Ranks 80th of 237 · native score 51.01 · reference year 2023
66percentile
How is this calculated?
Metric
Median age
Scale
100 = oldest median age, 0 = youngest — descriptive, not better or worse
Raw value
37.43 years
Native score
51.01 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
66th percentile — ranks 80th of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (37.43 − 14.32) / (59.63 − 14.32) = 51.01
Min and max are this dataset's lowest (14.32) and highest (59.63) values, so the score is relative to the current country set.
Source
UN World Population Prospects (via Our World in Data) · UN DESA, Population Division
License
CC BY 3.0 IGO
Reference year
2023
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
UN World Population Prospects (median age; medium-variant projections), retrieved via the Our World in Data mirror.
Population change (projection)Tier ADescriptive
100 = fastest projected growth, 0 = fastest projected decline — descriptive, not better or worse
Ranks 140th of 237 · native score 30.24 · reference year 2050
41percentile
How is this calculated?
Metric
Population change (projection)
Scale
100 = fastest projected growth, 0 = fastest projected decline — descriptive, not better or worse
Raw value
7.2 % change 2024→2050
Native score
30.24 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
41th percentile — ranks 140th of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (7.2 − -32.9) / (99.7 − -32.9) = 30.24
Min and max are this dataset's lowest (-32.9) and highest (99.7) values, so the score is relative to the current country set.
Source
UN World Population Prospects (via Our World in Data) · UN DESA, Population Division
License
CC BY 3.0 IGO
Reference year
2050
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
UN World Population Prospects (median age; medium-variant projections), retrieved via the Our World in Data mirror.

Society & culture

International tourist arrivalsTier BDescriptive
100 = most arrivals (2019), 0 = fewest — descriptive, not better or worse
Ranks 113th of 174 · native score 49.18 · reference year 2019
35percentile
How is this calculated?
Metric
International tourist arrivals
Scale
100 = most arrivals (2019), 0 = fewest — descriptive, not better or worse
Raw value
533,600 arrivals per year
Native score
49.18 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
35th percentile — ranks 113th of 174. Comparable across metrics.
Normalization
Log + min–max (log scale, for skewed data)
score = 100 · (ln 533,600 − ln 3,700) / (ln 90,914,000 − ln 3,700) = 49.18
Log scale (values are heavily skewed). 0 and 100 are the dataset's min (3,700) and max (90,914,000) — relative, not absolute or year-over-year comparable.
Source
UN Tourism (via Our World in Data) · UN Tourism (UNWTO)
License
CC BY 4.0
Reference year
2019
Retrieved
2026-07-12
Confidence
Tier B — Reputable / modeled
Source notes
International tourist arrivals — overnight visitors — from UN Tourism (UNWTO), retrieved via the Our World in Data mirror (OWID's processing layer is CC BY; underlying values are UN Tourism).