Martinique

MTQ

Caribbean · Americas

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?”.

5 metrics for this country

Demographics & migration

Median ageTier ADescriptive
100 = oldest median age, 0 = youngest — descriptive, not better or worse
Ranks 5th of 237 · native score 76.08 · reference year 2023
98percentile
How is this calculated?
Metric
Median age
Scale
100 = oldest median age, 0 = youngest — descriptive, not better or worse
Raw value
48.788 years
Native score
76.08 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
98th percentile — ranks 5th of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (48.79 − 14.32) / (59.63 − 14.32) = 76.08
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 222nd of 237 · native score 11.39 · reference year 2050
7percentile
How is this calculated?
Metric
Population change (projection)
Scale
100 = fastest projected growth, 0 = fastest projected decline — descriptive, not better or worse
Raw value
-17.8 % change 2024→2050
Native score
11.39 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
7th percentile — ranks 222nd of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (-17.8 − -32.9) / (99.7 − -32.9) = 11.39
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.
Refugees (by origin)Tier ADescriptive
100 = most refugees produced, 0 = fewest — descriptive, not better or worse
Ranks 198th of 211 · native score 3.32 · reference year 2024
3percentile
How is this calculated?
Metric
Refugees (by origin)
Scale
100 = most refugees produced, 0 = fewest — descriptive, not better or worse
Raw value
0 refugees
Native score
3.32 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
3th percentile — ranks 198th of 211. Comparable across metrics.
Normalization
Percentile rank across countries
score = percentile rank of 0 among 211 countries = 3.32
The score is the country's position in the distribution.
Source
UNHCR (via Our World in Data) · UN High Commissioner for Refugees (UNHCR)
License
CC BY 4.0
Reference year
2024
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
Refugee population by country of origin, retrieved via the Our World in Data mirror.

Society & culture

Social protection coverageTier A
100 = universal social protection coverage, 0 = none
Ranks 48th of 214 · native score 88.2 · reference year 2022
78percentile
How is this calculated?
Metric
Social protection coverage
Scale
100 = universal social protection coverage, 0 = none
Raw value
88.2 % of population
Native score
88.2 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
78th percentile — ranks 48th of 214. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (88.2 − 0) / (100 − 0) = 88.2
The index is kept on its own published scale.
Source
ILOSTAT (International Labour Organization) · International Labour Organization
License
CC BY 4.0
Reference year
2022
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
ILOSTAT via the ILO rplumber API (rplumber.ilo.org). CC BY 4.0 for databases published since 3 May 2023.
International tourist arrivalsTier BDescriptive
100 = most arrivals (2019), 0 = fewest — descriptive, not better or worse
Ranks 112th of 174 · native score 49.58 · reference year 2019
36percentile
How is this calculated?
Metric
International tourist arrivals
Scale
100 = most arrivals (2019), 0 = fewest — descriptive, not better or worse
Raw value
556,000 arrivals per year
Native score
49.58 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
36th percentile — ranks 112th of 174. Comparable across metrics.
Normalization
Log + min–max (log scale, for skewed data)
score = 100 · (ln 556,000 − ln 3,700) / (ln 90,914,000 − ln 3,700) = 49.58
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).