French Polynesia

PYF

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?”.

40 metrics for this country

Society & culture

Adult male heightTier ADescriptive
100 = tallest mean male height, 0 = shortest — descriptive, not better or worse
Ranks 32nd of 200 · native score 77.46 · reference year 1996
84percentile
How is this calculated?
Metric
Adult male height
Scale
100 = tallest mean male height, 0 = shortest — descriptive, not better or worse
Raw value
177.409 cm
Native score
77.46 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
84th percentile — ranks 32nd of 200. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (177.41 − 159.79) / (182.54 − 159.79) = 77.46
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.
Chocolate supply per person (proxy)Tier C
100 = highest cocoa supply per person in the dataset, 0 = lowest
Ranks 34th of 191 · native score 17.27 · reference year 2023
82percentile
Low reliability (Tier C — Survey / proxy). Survey-based, patchy, or proxy metric. Indicative only — coverage gaps and methodology limits are significant. Not a definitive ranking.
How is this calculated?
Metric
Chocolate supply per person (proxy)
Scale
100 = highest cocoa supply per person in the dataset, 0 = lowest
Raw value
2.42996 kg cocoa per person / year
Native score
17.27 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
82th percentile — ranks 34th of 191. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (2.43 − 0) / (14.07 − 0) = 17.27
Min and max are this dataset's lowest (0) and highest (14.07) values, so the score is relative to the current country set.
Source
FAO (via Our World in Data) · Food and Agriculture Organization of the UN (FAO)
License
CC BY 4.0
Reference year
2023
Retrieved
2026-07-12
Confidence
Tier C — Survey / proxy
Source notes
Cocoa 'food available for consumption' per capita from the FAO Food Balance Sheets, retrieved via the Our World in Data mirror. A supply proxy, not measured consumption — Tier C.
Female labour force participationTier A
100 = highest female participation in the dataset, 0 = lowest
Ranks 133rd of 186 · native score 53.63 · reference year 2025
29percentile
How is this calculated?
Metric
Female labour force participation
Scale
100 = highest female participation in the dataset, 0 = lowest
Raw value
46.628 % of women 15+
Native score
53.63 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
29th percentile — ranks 133rd of 186. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (46.63 − 4.66) / (82.91 − 4.66) = 53.63
Min and max are this dataset's lowest (4.66) and highest (82.91) 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.
Fish & seafood supply per capitaTier ADescriptive
100 = highest fish & seafood supply per person, 0 = lowest — descriptive, not better or worse
Ranks 11th of 191 · native score 60.09 · reference year 2023
95percentile
How is this calculated?
Metric
Fish & seafood supply per capita
Scale
100 = highest fish & seafood supply per person, 0 = lowest — descriptive, not better or worse
Raw value
50.5091 kg per person per year
Native score
60.09 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
95th percentile — ranks 11th of 191. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (50.51 − 0.38) / (83.81 − 0.38) = 60.09
Min and max are this dataset's lowest (0.38) and highest (83.81) values, so the score is relative to the current country set.
Source
FAO Food Balance Sheets (via Our World in Data) · Food and Agriculture Organization of the UN (FAO)
License
CC BY 4.0
Reference year
2023
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
Per-capita food available for consumption from the FAO Food Balance Sheets, retrieved via the Our World in Data mirror. This is national food SUPPLY per person, not measured intake.
Fruit supply per capitaTier ADescriptive
100 = highest fruit supply per person, 0 = lowest — descriptive, not better or worse
Ranks 110th of 191 · native score 13.79 · reference year 2023
43percentile
How is this calculated?
Metric
Fruit supply per capita
Scale
100 = highest fruit supply per person, 0 = lowest — descriptive, not better or worse
Raw value
76.6486 kg per person per year
Native score
13.79 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
43th percentile — ranks 110th of 191. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (76.65 − 4.27) / (529.06 − 4.27) = 13.79
Min and max are this dataset's lowest (4.27) and highest (529.06) values, so the score is relative to the current country set.
Source
FAO Food Balance Sheets (via Our World in Data) · Food and Agriculture Organization of the UN (FAO)
License
CC BY 4.0
Reference year
2023
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
Per-capita food available for consumption from the FAO Food Balance Sheets, retrieved via the Our World in Data mirror. This is national food SUPPLY per person, not measured intake.
Meat supply per capitaTier ADescriptive
100 = highest meat supply per person, 0 = lowest — descriptive, not better or worse
Ranks 22nd of 191 · native score 61.9 · reference year 2023
89percentile
How is this calculated?
Metric
Meat supply per capita
Scale
100 = highest meat supply per person, 0 = lowest — descriptive, not better or worse
Raw value
98.4683 kg per person per year
Native score
61.9 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
89th percentile — ranks 22nd of 191. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (98.47 − 3.49) / (156.93 − 3.49) = 61.9
Min and max are this dataset's lowest (3.49) and highest (156.93) values, so the score is relative to the current country set.
Source
FAO Food Balance Sheets (via Our World in Data) · Food and Agriculture Organization of the UN (FAO)
License
CC BY 4.0
Reference year
2023
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
Per-capita food available for consumption from the FAO Food Balance Sheets, retrieved via the Our World in Data mirror. This is national food SUPPLY per person, not measured intake.
International tourist arrivalsTier BDescriptive
100 = most arrivals (2019), 0 = fewest — descriptive, not better or worse
Ranks 137th of 174 · native score 41.15 · reference year 2019
22percentile
How is this calculated?
Metric
International tourist arrivals
Scale
100 = most arrivals (2019), 0 = fewest — descriptive, not better or worse
Raw value
237,000 arrivals per year
Native score
41.15 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
22th percentile — ranks 137th of 174. Comparable across metrics.
Normalization
Log + min–max (log scale, for skewed data)
score = 100 · (ln 237,000 − ln 3,700) / (ln 90,914,000 − ln 3,700) = 41.15
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).
Vegetable supply per capitaTier ADescriptive
100 = highest vegetables supply per person, 0 = lowest — descriptive, not better or worse
Ranks 52nd of 191 · native score 33.03 · reference year 2023
73percentile
How is this calculated?
Metric
Vegetable supply per capita
Scale
100 = highest vegetables supply per person, 0 = lowest — descriptive, not better or worse
Raw value
139.878 kg per person per year
Native score
33.03 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
73th percentile — ranks 52nd of 191. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (139.88 − 5.34) / (412.72 − 5.34) = 33.03
Min and max are this dataset's lowest (5.34) and highest (412.72) values, so the score is relative to the current country set.
Source
FAO Food Balance Sheets (via Our World in Data) · Food and Agriculture Organization of the UN (FAO)
License
CC BY 4.0
Reference year
2023
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
Per-capita food available for consumption from the FAO Food Balance Sheets, retrieved via the Our World in Data mirror. This is national food SUPPLY per person, not measured intake.

Demographics & migration

Age dependency ratioTier ADescriptive
100 = highest dependency ratio, 0 = lowest — descriptive, not better or worse
Ranks 187th of 215 · native score 28.29 · reference year 2025
13percentile
How is this calculated?
Metric
Age dependency ratio
Scale
100 = highest dependency ratio, 0 = lowest — descriptive, not better or worse
Raw value
43.6808 dependents per 100 working-age
Native score
28.29 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
13th percentile — ranks 187th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (43.68 − 20.05) / (103.59 − 20.05) = 28.29
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 152nd of 215 · native score 16.69 · reference year 2024
30percentile
How is this calculated?
Metric
Fertility rate
Scale
100 = highest fertility, 0 = lowest — descriptive, not better or worse
Raw value
1.491 births per woman
Native score
16.69 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
30th percentile — ranks 152nd of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (1.49 − 0.58) / (6.03 − 0.58) = 16.69
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 119th of 215 · native score 41.98 · reference year 2024
45percentile
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
4.722 years (female − male)
Native score
41.98 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
45th percentile — ranks 119th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (4.72 − 0.46) / (10.62 − 0.46) = 41.98
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 100th of 237 · native score 45.18 · reference year 2023
58percentile
How is this calculated?
Metric
Median age
Scale
100 = oldest median age, 0 = youngest — descriptive, not better or worse
Raw value
34.791 years
Native score
45.18 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
58th percentile — ranks 100th of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (34.79 − 14.32) / (59.63 − 14.32) = 45.18
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.
Foreign-born populationTier ADescriptive
100 = highest foreign-born share, 0 = lowest — descriptive, not better or worse
Ranks 77th of 214 · native score 10.7 · reference year 2024
64percentile
How is this calculated?
Metric
Foreign-born population
Scale
100 = highest foreign-born share, 0 = lowest — descriptive, not better or worse
Raw value
10.7 % foreign-born
Native score
10.7 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
64th percentile — ranks 77th of 214. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (10.7 − 0) / (100 − 0) = 10.7
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.
Net migration rateTier BDescriptive
100 = highest net inflow per capita, 0 = highest net outflow — descriptive, not better or worse
Ranks 187th of 215 · native score 47.1 · reference year 2025
13percentile
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
-4.245 per 1,000 people
Native score
47.1 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
13th percentile — ranks 187th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (-4.25 − -46.91) / (43.67 − -46.91) = 47.1
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 179th of 215 · native score 28.4 · reference year 2025
17percentile
How is this calculated?
Metric
Total population
Scale
100 = most populous, 0 = least populous — descriptive, not better or worse
Raw value
282,465 people
Native score
28.4 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
17th percentile — ranks 179th of 215. Comparable across metrics.
Normalization
Log + min–max (log scale, for skewed data)
score = 100 · (ln 282,465 − ln 9,492) / (ln 1,463,865,525 − ln 9,492) = 28.4
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 120th of 215 · native score 53.5 · reference year 2023
44percentile
How is this calculated?
Metric
Population density
Scale
100 = most dense, 0 = least dense — descriptive, not better or worse
Raw value
80.9905 people per km²
Native score
53.5 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
44th percentile — ranks 120th of 215. Comparable across metrics.
Normalization
Log + min–max (log scale, for skewed data)
score = 100 · (ln 80.99 − ln 0.14) / (ln 20,569.7 − ln 0.14) = 53.5
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 160th of 237 · native score 25.57 · reference year 2050
32percentile
How is this calculated?
Metric
Population change (projection)
Scale
100 = fastest projected growth, 0 = fastest projected decline — descriptive, not better or worse
Raw value
1 % change 2024→2050
Native score
25.57 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
32th percentile — ranks 160th of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (1 − -32.9) / (99.7 − -32.9) = 25.57
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.
Remittances receivedTier ADescriptive
100 = highest remittance inflow (% GDP), 0 = lowest — descriptive, not better or worse
Ranks 26th of 193 · native score 22.42 · reference year 2016
87percentile
How is this calculated?
Metric
Remittances received
Scale
100 = highest remittance inflow (% GDP), 0 = lowest — descriptive, not better or worse
Raw value
10.5795 % of GDP
Native score
22.42 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
87th percentile — ranks 26th of 193. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (10.58 − 0.01) / (47.15 − 0.01) = 22.42
Min and max are this dataset's lowest (0.01) and highest (47.15) values, so the score is relative to the current country set.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2016
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.
Rural population shareTier ADescriptive
100 = fully rural, 0 = fully urban — descriptive, not better or worse
Ranks 96th of 215 · native score 38.24 · reference year 2025
56percentile
How is this calculated?
Metric
Rural population share
Scale
100 = fully rural, 0 = fully urban — descriptive, not better or worse
Raw value
38.2416 % rural
Native score
38.24 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
56th percentile — ranks 96th of 215. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (38.24 − 0) / (100 − 0) = 38.24
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 61st of 215 · native score 31.58 · reference year 2024
70percentile
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
1.059 male births per female birth
Native score
31.58 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
70th percentile — ranks 61st of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (1.06 − 1.01) / (1.16 − 1.01) = 31.58
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 120th of 215 · native score 61.76 · reference year 2025
44percentile
How is this calculated?
Metric
Urbanization
Scale
100 = fully urban, 0 = fully rural — descriptive, not better or worse
Raw value
61.7584 % urban
Native score
61.76 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
44th percentile — ranks 120th of 215. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (61.76 − 0) / (100 − 0) = 61.76
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

CO₂ emissions per capitaTier A
100 = lowest emissions per capita (best), 0 = highest
Ranks 109th of 214 · native score 49.3 · reference year 2024
49percentile
How is this calculated?
Metric
CO₂ emissions per capita
Scale
100 = lowest emissions per capita (best), 0 = highest
Raw value
3.27471 tonnes CO₂ per capita
Native score
49.3 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
49th percentile — ranks 109th of 214. Comparable across metrics.
Normalization
Percentile rank across countries
score = 100 − [ percentile rank of 3.27 among 214 countries ] = 49.3
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.
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.
Fixed broadband subscriptionsTier A
100 = most fixed-broadband subscriptions per capita, 0 = fewest
Ranks 42nd of 208 · native score 58.31 · reference year 2023
80percentile
How is this calculated?
Metric
Fixed broadband subscriptions
Scale
100 = most fixed-broadband subscriptions per capita, 0 = fewest
Raw value
35.5534 per 100 people
Native score
58.31 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
80th percentile — ranks 42nd of 208. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (35.55 − 0) / (60.97 − 0) = 58.31
Min and max are this dataset's lowest (0) and highest (60.97) values, so the score is relative to the current country set.
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 66th of 213 · native score 43.06 · reference year 2023
69percentile
How is this calculated?
Metric
Forest area
Scale
100 = most forested, 0 = least — descriptive, not better or worse
Raw value
43.0596 % of land area
Native score
43.06 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
69th percentile — ranks 66th of 213. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (43.06 − 0) / (100 − 0) = 43.06
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.
Internet usersTier A
100 = whole population online, 0 = none
Ranks 128th of 209 · native score 72.7 · reference year 2017
39percentile
How is this calculated?
Metric
Internet users
Scale
100 = whole population online, 0 = none
Raw value
72.7039 % of population
Native score
72.7 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
39th percentile — ranks 128th of 209. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (72.7 − 0) / (100 − 0) = 72.7
The index is kept on its own published scale.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2017
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 178th of 212 · native score 5.6 · reference year 2025
16percentile
How is this calculated?
Metric
Protected land area
Scale
100 = most land protected, 0 = least
Raw value
5.6 % of land area
Native score
5.6 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
16th percentile — ranks 178th of 212. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (5.6 − 0) / (100 − 0) = 5.6
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.
Renewable energy shareTier A
100 = all energy renewable, 0 = none
Ranks 160th of 212 · native score 7 · reference year 2022
25percentile
How is this calculated?
Metric
Renewable energy share
Scale
100 = all energy renewable, 0 = none
Raw value
7 % of final energy
Native score
7 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
25th percentile — ranks 160th of 212. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (7 − 0) / (100 − 0) = 7
The index is kept on its own published scale.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2022
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.

Health

Diabetes prevalenceTier A
100 = lowest diabetes prevalence (best), 0 = highest
Ranks 201st of 208 · native score 28.76 · reference year 2024
4percentile
How is this calculated?
Metric
Diabetes prevalence
Scale
100 = lowest diabetes prevalence (best), 0 = highest
Raw value
22.8 % of adults 20–79
Native score
28.76 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
4th percentile — ranks 201st of 208. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 − [ 100 · (22.8 − 1.5) / (31.4 − 1.5) ] = 28.76
Min and max are this dataset's lowest (1.5) and highest (31.4) values, so the score is relative to the current country set. Direction is inverted (higher raw value = worse), so the position is subtracted from 100.
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 at birthTier A
100 = longest life expectancy in the dataset, 0 = shortest
Ranks 7th of 215 · native score 92.77 · reference year 2024
97percentile
How is this calculated?
Metric
Life expectancy at birth
Scale
100 = longest life expectancy in the dataset, 0 = shortest
Raw value
84.192 years
Native score
92.77 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
97th percentile — ranks 7th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (84.19 − 54.64) / (86.5 − 54.64) = 92.77
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.
Physicians per 1,000Tier A
100 = most physicians per capita in the dataset, 0 = fewest
Ranks 95th of 195 · native score 17.46 · reference year 2000
52percentile
How is this calculated?
Metric
Physicians per 1,000
Scale
100 = most physicians per capita in the dataset, 0 = fewest
Raw value
1.697 per 1,000 people
Native score
17.46 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
52th percentile — ranks 95th of 195. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (1.7 − 0.04) / (9.54 − 0.04) = 17.46
Min and max are this dataset's lowest (0.04) and highest (9.54) values, so the score is relative to the current country set.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2000
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 62nd of 151 · native score 90.45 · reference year 2024
59percentile
How is this calculated?
Metric
Safe drinking water
Scale
100 = universal safe drinking water, 0 = none
Raw value
90.4487 % of population
Native score
90.45 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
59th percentile — ranks 62nd of 151. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (90.45 − 0) / (100 − 0) = 90.45
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.
UndernourishmentTier A
100 = lowest undernourishment (best), 0 = highest
Ranks 73rd of 169 · native score 97.49 · reference year 2023
57percentile
How is this calculated?
Metric
Undernourishment
Scale
100 = lowest undernourishment (best), 0 = highest
Raw value
3.8 % of population
Native score
97.49 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
57th percentile — ranks 73rd of 169. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 − [ 100 · (3.8 − 2.5) / (54.2 − 2.5) ] = 97.49
Min and max are this dataset's lowest (2.5) and highest (54.2) values, so the score is relative to the current country set. Direction is inverted (higher raw value = worse), so the position is subtracted from 100.
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.

Economy

Employment-to-population ratioTier A
100 = highest employment ratio in the dataset, 0 = lowest
Ranks 156th of 186 · native score 38.14 · reference year 2025
16percentile
How is this calculated?
Metric
Employment-to-population ratio
Scale
100 = highest employment ratio in the dataset, 0 = lowest
Raw value
46.262 % of population 15+
Native score
38.14 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
16th percentile — ranks 156th of 186. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (46.26 − 21.21) / (86.9 − 21.21) = 38.14
Min and max are this dataset's lowest (21.21) and highest (86.9) 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.
Exports of goods & servicesTier ADescriptive
100 = most export-oriented (% GDP), 0 = lowest — descriptive, not better or worse
Ranks 157th of 192 · native score 8.67 · reference year 2024
18percentile
How is this calculated?
Metric
Exports of goods & services
Scale
100 = most export-oriented (% GDP), 0 = lowest — descriptive, not better or worse
Raw value
18.3214 % of GDP
Native score
8.67 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
18th percentile — ranks 157th of 192. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (18.32 − 1.1) / (199.76 − 1.1) = 8.67
Min and max are this dataset's lowest (1.1) and highest (199.76) 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.
Foreign direct investmentTier ADescriptive
100 = largest net FDI inflow (% GDP), 0 = lowest — descriptive, not better or worse
Ranks 180th of 201 · native score 88.44 · reference year 2024
11percentile
How is this calculated?
Metric
Foreign direct investment
Scale
100 = largest net FDI inflow (% GDP), 0 = lowest — descriptive, not better or worse
Raw value
-0.219285 % of GDP (net inflows)
Native score
88.44 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
11th percentile — ranks 180th of 201. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (-0.22 − -1,303.11) / (170.05 − -1,303.11) = 88.44
Min and max are this dataset's lowest (-1,303.11) and highest (170.05) 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.
Gross savingsTier ADescriptive
100 = highest gross savings (% GDP), 0 = lowest — descriptive, not better or worse
Ranks 79th of 177 · native score 56.54 · reference year 2016
55percentile
How is this calculated?
Metric
Gross savings
Scale
100 = highest gross savings (% GDP), 0 = lowest — descriptive, not better or worse
Raw value
23.2864 % of GDP
Native score
56.54 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
55th percentile — ranks 79th of 177. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (23.29 − -21.13) / (57.42 − -21.13) = 56.54
Min and max are this dataset's lowest (-21.13) and highest (57.42) values, so the score is relative to the current country set.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2016
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.
Unemployment rateTier A
100 = lowest unemployment in the dataset, 0 = highest
Ranks 159th of 186 · native score 66.15 · reference year 2025
15percentile
How is this calculated?
Metric
Unemployment rate
Scale
100 = lowest unemployment in the dataset, 0 = highest
Raw value
11.662 % of labour force
Native score
66.15 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
15th percentile — ranks 159th of 186. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 − [ 100 · (11.66 − 0.13) / (34.2 − 0.13) ] = 66.15
Min and max are this dataset's lowest (0.13) and highest (34.2) values, so the score is relative to the current country set. Direction is inverted (higher raw value = worse), so the position is subtracted from 100.
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.
Youth unemployment rateTier A
100 = lowest youth unemployment (best), 0 = highest
Ranks 175th of 186 · native score 52.68 · reference year 2025
6percentile
How is this calculated?
Metric
Youth unemployment rate
Scale
100 = lowest youth unemployment (best), 0 = highest
Raw value
36.566 % of labour force 15–24
Native score
52.68 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
6th percentile — ranks 175th of 186. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 − [ 100 · (36.57 − 0.46) / (76.77 − 0.46) ] = 52.68
Min and max are this dataset's lowest (0.46) and highest (76.77) values, so the score is relative to the current country set. Direction is inverted (higher raw value = worse), so the position is subtracted from 100.
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 10th of 193 · native score 95.08 · reference year 2009
95percentile
How is this calculated?
Metric
Homicide rate
Scale
100 = safest (fewest homicides), 0 = most homicides
Raw value
0.371083 per 100,000 population
Native score
95.08 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
95th percentile — ranks 10th of 193. Comparable across metrics.
Normalization
Percentile rank across countries
score = 100 − [ percentile rank of 0.37 among 193 countries ] = 95.08
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
2009
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.