American Samoa

ASM

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?”.

27 metrics for this country

Society & culture

Adult male heightTier ADescriptive
100 = tallest mean male height, 0 = shortest — descriptive, not better or worse
Ranks 45th of 200 · native score 71.46 · reference year 1996
78percentile
How is this calculated?
Metric
Adult male height
Scale
100 = tallest mean male height, 0 = shortest — descriptive, not better or worse
Raw value
176.045 cm
Native score
71.46 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
78th percentile — ranks 45th of 200. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (176.05 − 159.79) / (182.54 − 159.79) = 71.46
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.
International tourist arrivalsTier BDescriptive
100 = most arrivals (2019), 0 = fewest — descriptive, not better or worse
Ranks 168th of 174 · native score 16.29 · reference year 2019
4percentile
How is this calculated?
Metric
International tourist arrivals
Scale
100 = most arrivals (2019), 0 = fewest — descriptive, not better or worse
Raw value
19,200 arrivals per year
Native score
16.29 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
4th percentile — ranks 168th of 174. Comparable across metrics.
Normalization
Log + min–max (log scale, for skewed data)
score = 100 · (ln 19,200 − ln 3,700) / (ln 90,914,000 − ln 3,700) = 16.29
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).

Demographics & migration

Age dependency ratioTier ADescriptive
100 = highest dependency ratio, 0 = lowest — descriptive, not better or worse
Ranks 125th of 215 · native score 40.14 · reference year 2025
42percentile
How is this calculated?
Metric
Age dependency ratio
Scale
100 = highest dependency ratio, 0 = lowest — descriptive, not better or worse
Raw value
53.5785 dependents per 100 working-age
Native score
40.14 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
42th percentile — ranks 125th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (53.58 − 20.05) / (103.59 − 20.05) = 40.14
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 88th of 215 · native score 30.94 · reference year 2024
59percentile
How is this calculated?
Metric
Fertility rate
Scale
100 = highest fertility, 0 = lowest — descriptive, not better or worse
Raw value
2.267 births per woman
Native score
30.94 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
59th percentile — ranks 88th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (2.27 − 0.58) / (6.03 − 0.58) = 30.94
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 75th of 215 · native score 51.31 · reference year 2024
65percentile
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
5.671 years (female − male)
Native score
51.31 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
65th percentile — ranks 75th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (5.67 − 0.46) / (10.62 − 0.46) = 51.31
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 141st of 237 · native score 31.16 · reference year 2023
41percentile
How is this calculated?
Metric
Median age
Scale
100 = oldest median age, 0 = youngest — descriptive, not better or worse
Raw value
28.435 years
Native score
31.16 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
41th percentile — ranks 141st of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (28.44 − 14.32) / (59.63 − 14.32) = 31.16
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 16th of 214 · native score 50.6 · reference year 2024
93percentile
How is this calculated?
Metric
Foreign-born population
Scale
100 = highest foreign-born share, 0 = lowest — descriptive, not better or worse
Raw value
50.6 % foreign-born
Native score
50.6 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
93th percentile — ranks 16th of 214. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (50.6 − 0) / (100 − 0) = 50.6
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 211th of 215 · native score 26.58 · reference year 2025
2percentile
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
-22.833 per 1,000 people
Native score
26.58 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
2th percentile — ranks 211th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (-22.83 − -46.91) / (43.67 − -46.91) = 26.58
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 203rd of 215 · native score 13.22 · reference year 2025
6percentile
How is this calculated?
Metric
Total population
Scale
100 = most populous, 0 = least populous — descriptive, not better or worse
Raw value
46,029 people
Native score
13.22 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
6th percentile — ranks 203rd of 215. Comparable across metrics.
Normalization
Log + min–max (log scale, for skewed data)
score = 100 · (ln 46,029 − ln 9,492) / (ln 1,463,865,525 − ln 9,492) = 13.22
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 57th of 215 · native score 62.54 · reference year 2023
74percentile
How is this calculated?
Metric
Population density
Scale
100 = most dense, 0 = least dense — descriptive, not better or worse
Raw value
237.605 people per km²
Native score
62.54 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
74th percentile — ranks 57th of 215. Comparable across metrics.
Normalization
Log + min–max (log scale, for skewed data)
score = 100 · (ln 237.61 − ln 0.14) / (ln 20,569.7 − ln 0.14) = 62.54
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 226th of 237 · native score 9.95 · reference year 2050
5percentile
How is this calculated?
Metric
Population change (projection)
Scale
100 = fastest projected growth, 0 = fastest projected decline — descriptive, not better or worse
Raw value
-19.7 % change 2024→2050
Native score
9.95 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
5th percentile — ranks 226th of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (-19.7 − -32.9) / (99.7 − -32.9) = 9.95
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 160th of 215 · native score 19.49 · reference year 2025
26percentile
How is this calculated?
Metric
Rural population share
Scale
100 = fully rural, 0 = fully urban — descriptive, not better or worse
Raw value
19.4876 % rural
Native score
19.49 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
26th percentile — ranks 160th of 215. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (19.49 − 0) / (100 − 0) = 19.49
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 55th of 215 · native score 32.24 · reference year 2024
73percentile
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
1.06 male births per female birth
Native score
32.24 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
73th percentile — ranks 55th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (1.06 − 1.01) / (1.16 − 1.01) = 32.24
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 55th of 215 · native score 80.51 · reference year 2025
74percentile
How is this calculated?
Metric
Urbanization
Scale
100 = fully urban, 0 = fully rural — descriptive, not better or worse
Raw value
80.5124 % urban
Native score
80.51 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
74th percentile — ranks 55th of 215. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (80.51 − 0) / (100 − 0) = 80.51
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

Air transport passengersTier ADescriptive
100 = most air passengers, 0 = fewest — descriptive, not better or worse
Ranks 147th of 177 · native score 17.23 · reference year 2014
17percentile
How is this calculated?
Metric
Air transport passengers
Scale
100 = most air passengers, 0 = fewest — descriptive, not better or worse
Raw value
76,944 passengers per year
Native score
17.23 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
17th percentile — ranks 147th of 177. Comparable across metrics.
Normalization
Percentile rank across countries
score = percentile rank of 76,944 among 177 countries = 17.23
The score is the country's position in the distribution.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2014
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 8th of 213 · native score 85.2 · reference year 2023
96percentile
How is this calculated?
Metric
Forest area
Scale
100 = most forested, 0 = least — descriptive, not better or worse
Raw value
85.2 % of land area
Native score
85.2 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
96th percentile — ranks 8th of 213. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (85.2 − 0) / (100 − 0) = 85.2
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.
PM2.5 air pollutionTier A
100 = cleanest air (lowest PM2.5), 0 = most polluted
Ranks 7th of 200 · native score 96.75 · reference year 2023
97percentile
How is this calculated?
Metric
PM2.5 air pollution
Scale
100 = cleanest air (lowest PM2.5), 0 = most polluted
Raw value
4.32594 µg/m³
Native score
96.75 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
97th percentile — ranks 7th of 200. Comparable across metrics.
Normalization
Percentile rank across countries
score = 100 − [ percentile rank of 4.33 among 200 countries ] = 96.75
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
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 112th of 212 · native score 16.4 · reference year 2025
47percentile
How is this calculated?
Metric
Protected land area
Scale
100 = most land protected, 0 = least
Raw value
16.4 % of land area
Native score
16.4 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
47th percentile — ranks 112th of 212. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (16.4 − 0) / (100 − 0) = 16.4
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 200th of 212 · native score 0.4 · reference year 2022
6percentile
How is this calculated?
Metric
Renewable energy share
Scale
100 = all energy renewable, 0 = none
Raw value
0.4 % of final energy
Native score
0.4 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
6th percentile — ranks 200th of 212. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (0.4 − 0) / (100 − 0) = 0.4
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.

Education

Government education spendingTier A
100 = highest education spending (% GDP) in the dataset, 0 = lowest
Ranks 2nd of 200 · native score 89.79 · reference year 2006
99percentile
How is this calculated?
Metric
Government education spending
Scale
100 = highest education spending (% GDP) in the dataset, 0 = lowest
Raw value
14.717 % of GDP
Native score
89.79 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
99th percentile — ranks 2nd of 200. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (14.72 − 0) / (16.39 − 0) = 89.79
Min and max are this dataset's lowest (0) and highest (16.39) values, so the score is relative to the current country set.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2006
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.
Researchers in R&DTier A
100 = most researchers per capita, 0 = fewest
Ranks 112th of 144 · native score 45.49 · reference year 2005
23percentile
How is this calculated?
Metric
Researchers in R&D
Scale
100 = most researchers per capita, 0 = fewest
Raw value
105.76 per million people
Native score
45.49 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
23th percentile — ranks 112th of 144. Comparable across metrics.
Normalization
Log + min–max (log scale, for skewed data)
score = 100 · (ln 105.76 − ln 1.45) / (ln 18,129.75 − ln 1.45) = 45.49
Log scale (values are heavily skewed). 0 and 100 are the dataset's min (1.45) and max (18,129.75) — relative, not absolute or year-over-year comparable.
Source
World Bank · World Bank
License
CC BY 4.0
Reference year
2005
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

Exports of goods & servicesTier ADescriptive
100 = most export-oriented (% GDP), 0 = lowest — descriptive, not better or worse
Ranks 64th of 192 · native score 23.08 · reference year 2022
67percentile
How is this calculated?
Metric
Exports of goods & services
Scale
100 = most export-oriented (% GDP), 0 = lowest — descriptive, not better or worse
Raw value
46.9575 % of GDP
Native score
23.08 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
67th percentile — ranks 64th of 192. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (46.96 − 1.1) / (199.76 − 1.1) = 23.08
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
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.

Governance & institutions

Government effectivenessTier A
100 = strongest government effectiveness (index +2.5), 0 = weakest (−2.5)
Ranks 48th of 204 · native score 65.35 · reference year 2024
77percentile
How is this calculated?
Metric
Government effectiveness
Scale
100 = strongest government effectiveness (index +2.5), 0 = weakest (−2.5)
Raw value
0.767382 index (−2.5 to +2.5)
Native score
65.35 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
77th percentile — ranks 48th of 204. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (0.77 − -2.5) / (2.5 − -2.5) = 65.35
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.

Safety & crime

Homicide rateTier A
100 = safest (fewest homicides), 0 = most homicides
Ranks 177th of 193 · native score 8.55 · reference year 2018
9percentile
How is this calculated?
Metric
Homicide rate
Scale
100 = safest (fewest homicides), 0 = most homicides
Raw value
25.536 per 100,000 population
Native score
8.55 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
9th percentile — ranks 177th of 193. Comparable across metrics.
Normalization
Percentile rank across countries
score = 100 − [ percentile rank of 25.54 among 193 countries ] = 8.55
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
UNODC (via World Bank) · UN Office on Drugs and Crime / World Bank
License
CC BY 4.0
Reference year
2018
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 124th of 215 · native score 57.61 · reference year 2024
43percentile
How is this calculated?
Metric
Life expectancy at birth
Scale
100 = longest life expectancy in the dataset, 0 = shortest
Raw value
72.992 years
Native score
57.61 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
43th percentile — ranks 124th of 215. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (72.99 − 54.64) / (86.5 − 54.64) = 57.61
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 sanitationTier A
100 = universal safe sanitation, 0 = none
Ranks 98th of 145 · native score 42.93 · reference year 2024
33percentile
How is this calculated?
Metric
Safe sanitation
Scale
100 = universal safe sanitation, 0 = none
Raw value
42.9334 % of population
Native score
42.93 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
33th percentile — ranks 98th of 145. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (42.93 − 0) / (100 − 0) = 42.93
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.
Safe drinking waterTier A
100 = universal safe drinking water, 0 = none
Ranks 61st of 151 · native score 90.54 · reference year 2024
60percentile
How is this calculated?
Metric
Safe drinking water
Scale
100 = universal safe drinking water, 0 = none
Raw value
90.5383 % of population
Native score
90.54 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
60th percentile — ranks 61st of 151. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (90.54 − 0) / (100 − 0) = 90.54
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.