Saint Martin

MAF

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?”.

17 metrics for this country

Demographics & migration

Age dependency ratioTier ADescriptive
100 = highest dependency ratio, 0 = lowest — descriptive, not better or worse
Ranks 46th of 215 · native score 58.2 · reference year 2025
79percentile
How is this calculated?
Metric
Age dependency ratio
Scale
100 = highest dependency ratio, 0 = lowest — descriptive, not better or worse
Raw value
68.6684 dependents per 100 working-age
Native score
58.2 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
79th percentile — ranks 46th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (68.67 − 20.05) / (103.59 − 20.05) = 58.2
Min and max are this dataset's lowest (20.05) and highest (103.59) values, so the score is relative to the current country set.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2025
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
World Development Indicators and related databases, retrieved via the World Bank API (api.worldbank.org), most recent value per country. Each metric's indicator code and primary compiler (e.g. UN, WHO, ITU, UN IGME) are given in its methodology.
Fertility rateTier ADescriptive
100 = highest fertility, 0 = lowest — descriptive, not better or worse
Ranks 67th of 215 · native score 38.4 · reference year 2024
69percentile
How is this calculated?
Metric
Fertility rate
Scale
100 = highest fertility, 0 = lowest — descriptive, not better or worse
Raw value
2.673 births per woman
Native score
38.4 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
69th percentile — ranks 67th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (2.67 − 0.58) / (6.03 − 0.58) = 38.4
Min and max are this dataset's lowest (0.58) and highest (6.03) values, so the score is relative to the current country set.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2024
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
World Development Indicators and related databases, retrieved via the World Bank API (api.worldbank.org), most recent value per country. Each metric's indicator code and primary compiler (e.g. UN, WHO, ITU, UN IGME) are given in its methodology.
Life expectancy gap (female − male)Tier ADescriptive
100 = largest female−male gap, 0 = smallest (or male-favouring) — descriptive, not better or worse
Ranks 35th of 215 · native score 64.15 · reference year 2024
84percentile
How is this calculated?
Metric
Life expectancy gap (female − male)
Scale
100 = largest female−male gap, 0 = smallest (or male-favouring) — descriptive, not better or worse
Raw value
6.976 years (female − male)
Native score
64.15 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
84th percentile — ranks 35th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (6.98 − 0.46) / (10.62 − 0.46) = 64.15
Min and max are this dataset's lowest (0.46) and highest (10.62) values, so the score is relative to the current country set.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2024
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
World Development Indicators and related databases, retrieved via the World Bank API (api.worldbank.org), most recent value per country. Each metric's indicator code and primary compiler (e.g. UN, WHO, ITU, UN IGME) are given in its methodology.
Median ageTier ADescriptive
100 = oldest median age, 0 = youngest — descriptive, not better or worse
Ranks 61st of 237 · native score 55.28 · reference year 2023
74percentile
How is this calculated?
Metric
Median age
Scale
100 = oldest median age, 0 = youngest — descriptive, not better or worse
Raw value
39.363 years
Native score
55.28 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
74th percentile — ranks 61st of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (39.36 − 14.32) / (59.63 − 14.32) = 55.28
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.
Net migration rateTier BDescriptive
100 = highest net inflow per capita, 0 = highest net outflow — descriptive, not better or worse
Ranks 215th of 215 · native score 0 · reference year 2025
0percentile
How is this calculated?
Metric
Net migration rate
Scale
100 = highest net inflow per capita, 0 = highest net outflow — descriptive, not better or worse
Raw value
-46.911 per 1,000 people
Native score
0 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
0th percentile — ranks 215th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (-46.91 − -46.91) / (43.67 − -46.91) = 0
Min and max are this dataset's lowest (-46.91) and highest (43.67) values, so the score is relative to the current country set.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2025
Retrieved
2026-07-12
Confidence
Tier B — Reputable / modeled
Source notes
World Development Indicators and related databases, retrieved via the World Bank API (api.worldbank.org), most recent value per country. Each metric's indicator code and primary compiler (e.g. UN, WHO, ITU, UN IGME) are given in its methodology.
Total populationTier ADescriptive
100 = most populous, 0 = least populous — descriptive, not better or worse
Ranks 212th of 215 · native score 8.09 · reference year 2025
2percentile
How is this calculated?
Metric
Total population
Scale
100 = most populous, 0 = least populous — descriptive, not better or worse
Raw value
24,941 people
Native score
8.09 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
2th percentile — ranks 212th of 215. Comparable across metrics.
Normalization
Log + min–max (log scale, for skewed data)
score = 100 · (ln 24,941 − ln 9,492) / (ln 1,463,865,525 − ln 9,492) = 8.09
Log scale (values are heavily skewed). 0 and 100 are the dataset's min (9,492) and max (1,463,865,525) — relative, not absolute or year-over-year comparable.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2025
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
World Development Indicators and related databases, retrieved via the World Bank API (api.worldbank.org), most recent value per country. Each metric's indicator code and primary compiler (e.g. UN, WHO, ITU, UN IGME) are given in its methodology.
Population densityTier ADescriptive
100 = most dense, 0 = least dense — descriptive, not better or worse
Ranks 20th of 215 · native score 69.59 · reference year 2023
91percentile
How is this calculated?
Metric
Population density
Scale
100 = most dense, 0 = least dense — descriptive, not better or worse
Raw value
550.3 people per km²
Native score
69.59 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
91th percentile — ranks 20th of 215. Comparable across metrics.
Normalization
Log + min–max (log scale, for skewed data)
score = 100 · (ln 550.3 − ln 0.14) / (ln 20,569.7 − ln 0.14) = 69.59
Log scale (values are heavily skewed). 0 and 100 are the dataset's min (0.14) and max (20,569.7) — relative, not absolute or year-over-year comparable.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2023
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
World Development Indicators and related databases, retrieved via the World Bank API (api.worldbank.org), most recent value per country. Each metric's indicator code and primary compiler (e.g. UN, WHO, ITU, UN IGME) are given in its methodology.
Population change (projection)Tier ADescriptive
100 = fastest projected growth, 0 = fastest projected decline — descriptive, not better or worse
Ranks 235th of 237 · native score 3.7 · reference year 2050
1percentile
How is this calculated?
Metric
Population change (projection)
Scale
100 = fastest projected growth, 0 = fastest projected decline — descriptive, not better or worse
Raw value
-28 % change 2024→2050
Native score
3.7 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
1th percentile — ranks 235th of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (-28 − -32.9) / (99.7 − -32.9) = 3.7
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.
Rural population shareTier ADescriptive
100 = fully rural, 0 = fully urban — descriptive, not better or worse
Ranks 204th of 215 · native score 0 · reference year 2025
3percentile
How is this calculated?
Metric
Rural population share
Scale
100 = fully rural, 0 = fully urban — descriptive, not better or worse
Raw value
0 % rural
Native score
0 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
3th percentile — ranks 204th of 215. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (0 − 0) / (100 − 0) = 0
The index is kept on its own published scale.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2025
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
World Development Indicators and related databases, retrieved via the World Bank API (api.worldbank.org), most recent value per country. Each metric's indicator code and primary compiler (e.g. UN, WHO, ITU, UN IGME) are given in its methodology.
Sex ratio at birthTier ADescriptive
100 = highest male-to-female birth ratio, 0 = lowest — descriptive, not better or worse
Ranks 152nd of 215 · native score 19.08 · reference year 2024
28percentile
How is this calculated?
Metric
Sex ratio at birth
Scale
100 = highest male-to-female birth ratio, 0 = lowest — descriptive, not better or worse
Raw value
1.04 male births per female birth
Native score
19.08 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
28th percentile — ranks 152nd of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (1.04 − 1.01) / (1.16 − 1.01) = 19.08
Min and max are this dataset's lowest (1.01) and highest (1.16) values, so the score is relative to the current country set.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2024
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
World Development Indicators and related databases, retrieved via the World Bank API (api.worldbank.org), most recent value per country. Each metric's indicator code and primary compiler (e.g. UN, WHO, ITU, UN IGME) are given in its methodology.
UrbanizationTier ADescriptive
100 = fully urban, 0 = fully rural — descriptive, not better or worse
Ranks 1st of 215 · native score 100 · reference year 2025
97percentile
How is this calculated?
Metric
Urbanization
Scale
100 = fully urban, 0 = fully rural — descriptive, not better or worse
Raw value
100 % urban
Native score
100 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
97th percentile — ranks 1st of 215. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (100 − 0) / (100 − 0) = 100
The index is kept on its own published scale.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2025
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
World Development Indicators and related databases, retrieved via the World Bank API (api.worldbank.org), most recent value per country. Each metric's indicator code and primary compiler (e.g. UN, WHO, ITU, UN IGME) are given in its methodology.

Environment & infrastructure

Access to electricityTier A
100 = universal electricity access, 0 = none
Ranks 1st of 214 · native score 100 · reference year 2023
70percentile
How is this calculated?
Metric
Access to electricity
Scale
100 = universal electricity access, 0 = none
Raw value
100 % of population
Native score
100 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
70th percentile — ranks 1st of 214. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (100 − 0) / (100 − 0) = 100
The index is kept on its own published scale.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2023
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
World Development Indicators and related databases, retrieved via the World Bank API (api.worldbank.org), most recent value per country. Each metric's indicator code and primary compiler (e.g. UN, WHO, ITU, UN IGME) are given in its methodology.
Forest areaTier ADescriptive
100 = most forested, 0 = least — descriptive, not better or worse
Ranks 118th of 213 · native score 24.8 · reference year 2023
45percentile
How is this calculated?
Metric
Forest area
Scale
100 = most forested, 0 = least — descriptive, not better or worse
Raw value
24.8 % of land area
Native score
24.8 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
45th percentile — ranks 118th of 213. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (24.8 − 0) / (100 − 0) = 24.8
The index is kept on its own published scale.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2023
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
World Development Indicators and related databases, retrieved via the World Bank API (api.worldbank.org), most recent value per country. Each metric's indicator code and primary compiler (e.g. UN, WHO, ITU, UN IGME) are given in its methodology.
Protected land areaTier A
100 = most land protected, 0 = least
Ranks 157th of 212 · native score 9.3 · reference year 2025
26percentile
How is this calculated?
Metric
Protected land area
Scale
100 = most land protected, 0 = least
Raw value
9.3 % of land area
Native score
9.3 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
26th percentile — ranks 157th of 212. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (9.3 − 0) / (100 − 0) = 9.3
The index is kept on its own published scale.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2025
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
World Development Indicators and related databases, retrieved via the World Bank API (api.worldbank.org), most recent value per country. Each metric's indicator code and primary compiler (e.g. UN, WHO, ITU, UN IGME) are given in its methodology.

Safety & crime

Homicide rateTier A
100 = safest (fewest homicides), 0 = most homicides
Ranks 178th of 193 · native score 8.03 · reference year 2016
8percentile
How is this calculated?
Metric
Homicide rate
Scale
100 = safest (fewest homicides), 0 = most homicides
Raw value
26.8998 per 100,000 population
Native score
8.03 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
8th percentile — ranks 178th of 193. Comparable across metrics.
Normalization
Percentile rank across countries
score = 100 − [ percentile rank of 26.9 among 193 countries ] = 8.03
The score is the country's position in the distribution. Direction is inverted (higher raw value = worse), so the position is subtracted from 100.
Source
UNODC (via World Bank) · UN Office on Drugs and Crime / World Bank
License
CC BY 4.0
Reference year
2016
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
Intentional homicide victims per 100,000, indicator VC.IHR.PSRC.P5, retrieved via the World Bank API. Primary source is UNODC; the World Bank redistributes the series under CC BY 4.0.

Health

Life expectancy at birthTier A
100 = longest life expectancy in the dataset, 0 = shortest
Ranks 50th of 215 · native score 80.98 · reference year 2024
77percentile
How is this calculated?
Metric
Life expectancy at birth
Scale
100 = longest life expectancy in the dataset, 0 = shortest
Raw value
80.438 years
Native score
80.98 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
77th percentile — ranks 50th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (80.44 − 54.64) / (86.5 − 54.64) = 80.98
Min and max are this dataset's lowest (54.64) and highest (86.5) values, so the score is relative to the current country set.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2024
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
World Development Indicators and related databases, retrieved via the World Bank API (api.worldbank.org), most recent value per country. Each metric's indicator code and primary compiler (e.g. UN, WHO, ITU, UN IGME) are given in its methodology.
Safe drinking waterTier A
100 = universal safe drinking water, 0 = none
Ranks 47th of 151 · native score 96.63 · reference year 2024
69percentile
How is this calculated?
Metric
Safe drinking water
Scale
100 = universal safe drinking water, 0 = none
Raw value
96.6255 % of population
Native score
96.63 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
69th percentile — ranks 47th of 151. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (96.63 − 0) / (100 − 0) = 96.63
The index is kept on its own published scale.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2024
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
World Development Indicators and related databases, retrieved via the World Bank API (api.worldbank.org), most recent value per country. Each metric's indicator code and primary compiler (e.g. UN, WHO, ITU, UN IGME) are given in its methodology.