Montserrat

MSR

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

Environment & infrastructure

CO₂ emissions per capitaTier A
100 = lowest emissions per capita (best), 0 = highest
Ranks 162nd of 214 · native score 24.53 · reference year 2024
25percentile
How is this calculated?
Metric
CO₂ emissions per capita
Scale
100 = lowest emissions per capita (best), 0 = highest
Raw value
6.02152 tonnes CO₂ per capita
Native score
24.53 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
25th percentile — ranks 162nd of 214. Comparable across metrics.
Normalization
Percentile rank across countries
score = 100 − [ percentile rank of 6.02 among 214 countries ] = 24.53
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
Global Carbon Project (via Our World in Data) · Global Carbon Project
License
CC BY 4.0
Reference year
2024
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
Per-capita CO₂ emissions from the Global Carbon Project's Global Carbon Budget, retrieved via the Our World in Data mirror.

Demographics & migration

Median ageTier ADescriptive
100 = oldest median age, 0 = youngest — descriptive, not better or worse
Ranks 43rd of 237 · native score 60.09 · reference year 2023
82percentile
How is this calculated?
Metric
Median age
Scale
100 = oldest median age, 0 = youngest — descriptive, not better or worse
Raw value
41.546 years
Native score
60.09 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
82th percentile — ranks 43rd of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (41.55 − 14.32) / (59.63 − 14.32) = 60.09
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 214th of 237 · native score 12.9 · reference year 2050
10percentile
How is this calculated?
Metric
Population change (projection)
Scale
100 = fastest projected growth, 0 = fastest projected decline — descriptive, not better or worse
Raw value
-15.8 % change 2024→2050
Native score
12.9 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
10th percentile — ranks 214th of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (-15.8 − -32.9) / (99.7 − -32.9) = 12.9
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

Social protection coverageTier A
100 = universal social protection coverage, 0 = none
Ranks 58th of 214 · native score 81.2 · reference year 2021
73percentile
How is this calculated?
Metric
Social protection coverage
Scale
100 = universal social protection coverage, 0 = none
Raw value
81.2 % of population
Native score
81.2 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
73th percentile — ranks 58th of 214. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (81.2 − 0) / (100 − 0) = 81.2
The index is kept on its own published scale.
Source
ILOSTAT (International Labour Organization) · International Labour Organization
License
CC BY 4.0
Reference year
2021
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 170th of 174 · native score 10.22 · reference year 2019
3percentile
How is this calculated?
Metric
International tourist arrivals
Scale
100 = most arrivals (2019), 0 = fewest — descriptive, not better or worse
Raw value
10,400 arrivals per year
Native score
10.22 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
3th percentile — ranks 170th of 174. Comparable across metrics.
Normalization
Log + min–max (log scale, for skewed data)
score = 100 · (ln 10,400 − ln 3,700) / (ln 90,914,000 − ln 3,700) = 10.22
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).