Niue

NIU

Polynesia · Oceania

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?”.

7 metrics for this country

Society & culture

Adult male heightTier ADescriptive
100 = tallest mean male height, 0 = shortest — descriptive, not better or worse
Ranks 47th of 200 · native score 70.52 · reference year 1996
77percentile
How is this calculated?
Metric
Adult male height
Scale
100 = tallest mean male height, 0 = shortest — descriptive, not better or worse
Raw value
175.831 cm
Native score
70.52 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
77th percentile — ranks 47th of 200. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (175.83 − 159.79) / (182.54 − 159.79) = 70.52
Min and max are this dataset's lowest (159.79) and highest (182.54) values, so the score is relative to the current country set.
Source
NCD Risk Factor Collaboration (via Our World in Data) · NCD Risk Factor Collaboration (NCD-RisC)
License
CC BY 4.0
Reference year
1996
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
Pooled analysis of population-based measured-height studies, retrieved via the Our World in Data mirror. Indexed by year of birth.
Social protection coverageTier A
100 = universal social protection coverage, 0 = none
Ranks 117th of 214 · native score 48.6 · reference year 2018
46percentile
How is this calculated?
Metric
Social protection coverage
Scale
100 = universal social protection coverage, 0 = none
Raw value
48.6 % of population
Native score
48.6 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
46th percentile — ranks 117th of 214. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (48.6 − 0) / (100 − 0) = 48.6
The index is kept on its own published scale.
Source
ILOSTAT (International Labour Organization) · International Labour Organization
License
CC BY 4.0
Reference year
2018
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 171st of 174 · native score 10.03 · reference year 2019
2percentile
How is this calculated?
Metric
International tourist arrivals
Scale
100 = most arrivals (2019), 0 = fewest — descriptive, not better or worse
Raw value
10,200 arrivals per year
Native score
10.03 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
2th percentile — ranks 171st of 174. Comparable across metrics.
Normalization
Log + min–max (log scale, for skewed data)
score = 100 · (ln 10,200 − ln 3,700) / (ln 90,914,000 − ln 3,700) = 10.03
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).

Environment & infrastructure

CO₂ emissions per capitaTier A
100 = lowest emissions per capita (best), 0 = highest
Ranks 132nd of 214 · native score 38.55 · reference year 2024
39percentile
How is this calculated?
Metric
CO₂ emissions per capita
Scale
100 = lowest emissions per capita (best), 0 = highest
Raw value
4.14286 tonnes CO₂ per capita
Native score
38.55 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
39th percentile — ranks 132nd of 214. Comparable across metrics.
Normalization
Percentile rank across countries
score = 100 − [ percentile rank of 4.14 among 214 countries ] = 38.55
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 87th of 237 · native score 49.08 · reference year 2023
64percentile
How is this calculated?
Metric
Median age
Scale
100 = oldest median age, 0 = youngest — descriptive, not better or worse
Raw value
36.555 years
Native score
49.08 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
64th percentile — ranks 87th of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (36.56 − 14.32) / (59.63 − 14.32) = 49.08
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 134th of 237 · native score 30.84 · reference year 2050
44percentile
How is this calculated?
Metric
Population change (projection)
Scale
100 = fastest projected growth, 0 = fastest projected decline — descriptive, not better or worse
Raw value
8 % change 2024→2050
Native score
30.84 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
44th percentile — ranks 134th of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (8 − -32.9) / (99.7 − -32.9) = 30.84
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 183rd of 211 · native score 10.19 · reference year 2024
10percentile
How is this calculated?
Metric
Refugees (by origin)
Scale
100 = most refugees produced, 0 = fewest — descriptive, not better or worse
Raw value
5 refugees
Native score
10.19 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
10th percentile — ranks 183rd of 211. Comparable across metrics.
Normalization
Percentile rank across countries
score = percentile rank of 5 among 211 countries = 10.19
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.