Taiwan

TWN

Eastern Asia · Asia

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?”.

21 metrics for this country

Society & culture

Adult male heightTier ADescriptive
100 = tallest mean male height, 0 = shortest — descriptive, not better or worse
Ranks 57th of 200 · native score 64.77 · reference year 1996
72percentile
How is this calculated?
Metric
Adult male height
Scale
100 = tallest mean male height, 0 = shortest — descriptive, not better or worse
Raw value
174.521 cm
Native score
64.77 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
72th percentile — ranks 57th of 200. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (174.52 − 159.79) / (182.54 − 159.79) = 64.77
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 103rd of 191 · native score 4.76 · reference year 2023
46percentile
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
0.67 kg cocoa per person / year
Native score
4.76 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
46th percentile — ranks 103rd of 191. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (0.67 − 0) / (14.07 − 0) = 4.76
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.
Fish & seafood supply per capitaTier ADescriptive
100 = highest fish & seafood supply per person, 0 = lowest — descriptive, not better or worse
Ranks 32nd of 191 · native score 35.98 · reference year 2023
84percentile
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
30.4 kg per person per year
Native score
35.98 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
84th percentile — ranks 32nd of 191. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (30.4 − 0.38) / (83.81 − 0.38) = 35.98
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 76th of 191 · native score 17.17 · reference year 2023
60percentile
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
94.38 kg per person per year
Native score
17.17 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
60th percentile — ranks 76th of 191. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (94.38 − 4.27) / (529.06 − 4.27) = 17.17
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 28th of 191 · native score 57.36 · reference year 2023
86percentile
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
91.5 kg per person per year
Native score
57.36 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
86th percentile — ranks 28th of 191. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (91.5 − 3.49) / (156.93 − 3.49) = 57.36
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.
Social protection coverageTier A
100 = universal social protection coverage, 0 = none
Ranks 65th of 214 · native score 78.4 · reference year 2023
70percentile
How is this calculated?
Metric
Social protection coverage
Scale
100 = universal social protection coverage, 0 = none
Raw value
78.4 % of population
Native score
78.4 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
70th percentile — ranks 65th of 214. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (78.4 − 0) / (100 − 0) = 78.4
The index is kept on its own published scale.
Source
ILOSTAT (International Labour Organization) · International Labour Organization
License
CC BY 4.0
Reference year
2023
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.
Social tolerance (proxy)Tier C
100 = most accepting (fewest object to different-religion neighbours), 0 = least
Ranks 19th of 94 · native score 95.44 · reference year 2022
80percentile
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
Social tolerance (proxy)
Scale
100 = most accepting (fewest object to different-religion neighbours), 0 = least
Raw value
4.55969 % who object to different-religion neighbours
Native score
95.44 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
80th percentile — ranks 19th of 94. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 − [ 100 · (4.56 − 0) / (100 − 0) ] = 95.44
The index is kept on its own published scale. Direction is inverted (higher raw value = worse), so the position is subtracted from 100.
Source
World Values Survey (via Our World in Data) · World Values Survey Association / Integrated Values Surveys
License
CC BY 4.0
Reference year
2022
Retrieved
2026-07-12
Confidence
Tier C — Survey / proxy
Source notes
Share of survey respondents who mention 'people of a different religion' when asked which groups they would not want as neighbours (World Values Survey / Integrated Values Surveys), via the Our World in Data mirror. A single attitudinal proxy — Tier C.
Trade union densityTier BDescriptive
100 = highest union density in the dataset, 0 = lowest — descriptive, not better or worse
Ranks 19th of 139 · native score 35.11 · reference year 2017
87percentile
How is this calculated?
Metric
Trade union density
Scale
100 = highest union density in the dataset, 0 = lowest — descriptive, not better or worse
Raw value
32.227 % of employees
Native score
35.11 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
87th percentile — ranks 19th of 139. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (32.23 − 0.2) / (91.42 − 0.2) = 35.11
Min and max are this dataset's lowest (0.2) and highest (91.42) values, so the score is relative to the current country set.
Source
ILOSTAT (International Labour Organization) · International Labour Organization
License
CC BY 4.0
Reference year
2017
Retrieved
2026-07-12
Confidence
Tier B — Reputable / modeled
Source notes
ILOSTAT via the ILO rplumber API (rplumber.ilo.org). CC BY 4.0 for databases published since 3 May 2023.
Vegetable supply per capitaTier ADescriptive
100 = highest vegetables supply per person, 0 = lowest — descriptive, not better or worse
Ranks 75th of 191 · native score 28.35 · reference year 2023
61percentile
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
120.82 kg per person per year
Native score
28.35 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
61th percentile — ranks 75th of 191. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (120.82 − 5.34) / (412.72 − 5.34) = 28.35
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.

Environment & infrastructure

CO₂ emissions per capitaTier A
100 = lowest emissions per capita (best), 0 = highest
Ranks 195th of 214 · native score 9.11 · reference year 2024
9percentile
How is this calculated?
Metric
CO₂ emissions per capita
Scale
100 = lowest emissions per capita (best), 0 = highest
Raw value
11.3012 tonnes CO₂ per capita
Native score
9.11 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
9th percentile — ranks 195th of 214. Comparable across metrics.
Normalization
Percentile rank across countries
score = 100 − [ percentile rank of 11.3 among 214 countries ] = 9.11
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.

Safety & crime

Deaths in armed conflictsTier A
100 = fewest conflict deaths (most at peace), 0 = most
Ranks 1st of 197 · native score 63.71 · reference year 2025
64percentile
How is this calculated?
Metric
Deaths in armed conflicts
Scale
100 = fewest conflict deaths (most at peace), 0 = most
Raw value
0 deaths per year
Native score
63.71 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
64th percentile — ranks 1st of 197. Comparable across metrics.
Normalization
Percentile rank across countries
score = 100 − [ percentile rank of 0 among 197 countries ] = 63.71
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
Uppsala Conflict Data Program (via Our World in Data) · Uppsala Conflict Data Program (UCDP)
License
CC BY 4.0
Reference year
2025
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
Deaths in armed conflicts, best estimate, retrieved via the Our World in Data mirror.

Governance & institutions

Corruption Perceptions IndexTier A
100 = cleanest (least corrupt), 0 = most corrupt
Ranks 25th of 180 · native score 67 · reference year 2024
86percentile
How is this calculated?
Metric
Corruption Perceptions Index
Scale
100 = cleanest (least corrupt), 0 = most corrupt
Raw value
67 CPI score (0–100)
Native score
67 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
86th percentile — ranks 25th of 180. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (67 − 0) / (100 − 0) = 67
The index is kept on its own published scale.
Source
Transparency International · Transparency International
License
CC BY-ND 4.0
Reference year
2024
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
CPI retrieved via the Our World in Data mirror (ourworldindata.org/grapher/ti-corruption-perception-index), which republishes the official TI CPI series verbatim. Snapshot verified against Transparency International's official CPI 2024 figures and matches exactly (spot-checked: DNK 90, FIN 88, SGP 84, DEU 75, USA 65, ESP 56, SSD 8). We were unable to fetch TI's primary file directly (their CDN returns an access-denied stub for the CPI xlsx and no clean CSV is offered), so the OWID mirror is the machine-readable source; primary source and methodology owner is Transparency International.
Electoral democracy indexTier A
100 = most democratic (index 1.0), 0 = least democratic
Ranks 28th of 175 · native score 80.1 · reference year 2025
84percentile
How is this calculated?
Metric
Electoral democracy index
Scale
100 = most democratic (index 1.0), 0 = least democratic
Raw value
0.801 index (0–1)
Native score
80.1 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
84th percentile — ranks 28th of 175. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (0.8 − 0) / (1 − 0) = 80.1
The index is kept on its own published scale.
Source
V-Dem Institute (via Our World in Data) · V-Dem Institute, University of Gothenburg
License
CC BY 4.0
Reference year
2025
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
Varieties of Democracy (V-Dem) expert-coded indices (electoral democracy, rule of law, freedom of expression), retrieved via the Our World in Data mirror. Expert-coded estimates; see V-Dem for uncertainty intervals.
Freedom of expression indexTier A
100 = most free expression (index 1.0), 0 = least
Ranks 49th of 175 · native score 83.8 · reference year 2025
72percentile
How is this calculated?
Metric
Freedom of expression index
Scale
100 = most free expression (index 1.0), 0 = least
Raw value
0.838 index (0–1)
Native score
83.8 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
72th percentile — ranks 49th of 175. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (0.84 − 0) / (1 − 0) = 83.8
The index is kept on its own published scale.
Source
V-Dem Institute (via Our World in Data) · V-Dem Institute, University of Gothenburg
License
CC BY 4.0
Reference year
2025
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
Varieties of Democracy (V-Dem) expert-coded indices (electoral democracy, rule of law, freedom of expression), retrieved via the Our World in Data mirror. Expert-coded estimates; see V-Dem for uncertainty intervals.
Rule of law indexTier A
100 = strongest rule of law (index 1.0), 0 = weakest
Ranks 31st of 175 · native score 91.7 · reference year 2025
82percentile
How is this calculated?
Metric
Rule of law index
Scale
100 = strongest rule of law (index 1.0), 0 = weakest
Raw value
0.917 index (0–1)
Native score
91.7 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
82th percentile — ranks 31st of 175. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (0.92 − 0) / (1 − 0) = 91.7
The index is kept on its own published scale.
Source
V-Dem Institute (via Our World in Data) · V-Dem Institute, University of Gothenburg
License
CC BY 4.0
Reference year
2025
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
Varieties of Democracy (V-Dem) expert-coded indices (electoral democracy, rule of law, freedom of expression), retrieved via the Our World in Data mirror. Expert-coded estimates; see V-Dem for uncertainty intervals.

Economy

GDP growth (projection)Tier B
100 = highest projected growth, 0 = lowest
Ranks 98th of 189 · native score 16.72 · reference year 2031
48percentile
How is this calculated?
Metric
GDP growth (projection)
Scale
100 = highest projected growth, 0 = lowest
Raw value
2.92 % per year (avg 2026–2031)
Native score
16.72 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
48th percentile — ranks 98th of 189. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (2.92 − 0.62) / (14.38 − 0.62) = 16.72
Min and max are this dataset's lowest (0.62) and highest (14.38) values, so the score is relative to the current country set.
Source
IMF (World Economic Outlook) · International Monetary Fund
License
IMF terms (reuse with attribution)
Reference year
2031
Retrieved
2026-07-12
Confidence
Tier B — Reputable / modeled
Source notes
IMF World Economic Outlook via the IMF DataMapper API (imf.org/external/datamapper).
Government debtTier BDescriptive
100 = highest debt (% GDP) in the dataset, 0 = lowest — descriptive, not better or worse
Ranks 172nd of 193 · native score 7.26 · reference year 2025
11percentile
How is this calculated?
Metric
Government debt
Scale
100 = highest debt (% GDP) in the dataset, 0 = lowest — descriptive, not better or worse
Raw value
22.4 % of GDP
Native score
7.26 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
11th percentile — ranks 172nd of 193. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (22.4 − 0) / (308.7 − 0) = 7.26
Min and max are this dataset's lowest (0) and highest (308.7) values, so the score is relative to the current country set.
Source
IMF (World Economic Outlook) · International Monetary Fund
License
IMF terms (reuse with attribution)
Reference year
2025
Retrieved
2026-07-12
Confidence
Tier B — Reputable / modeled
Source notes
IMF World Economic Outlook via the IMF DataMapper API (imf.org/external/datamapper).

Quality of life & wellbeing

Life satisfaction (happiness)Tier B
100 = highest average life evaluation (ladder 10), 0 = lowest (ladder 0)
Ranks 27th of 165 · native score 67.14 · reference year 2025
84percentile
How is this calculated?
Metric
Life satisfaction (happiness)
Scale
100 = highest average life evaluation (ladder 10), 0 = lowest (ladder 0)
Raw value
6.714 Cantril ladder (0–10)
Native score
67.14 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
84th percentile — ranks 27th of 165. Comparable across metrics.
Normalization
Native rescale (index kept on its own scale)
score = 100 · (6.71 − 0) / (10 − 0) = 67.14
The index is kept on its own published scale.
Source
World Happiness Report (via Our World in Data) · World Happiness Report / Gallup
License
CC BY 4.0
Reference year
2025
Retrieved
2026-07-12
Confidence
Tier B — Reputable / modeled
Source notes
Self-reported life evaluation (Cantril ladder, 0–10) from the Gallup World Poll, published in the World Happiness Report, retrieved via the Our World in Data mirror. Survey-based (Tier B).

Education

Mean years of schoolingTier A
100 = most years of schooling in the dataset, 0 = fewest
Ranks 15th of 146 · native score 90.84 · reference year 2020
90percentile
How is this calculated?
Metric
Mean years of schooling
Scale
100 = most years of schooling in the dataset, 0 = fewest
Raw value
12.76 years
Native score
90.84 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
90th percentile — ranks 15th of 146. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (12.76 − 3.04) / (13.74 − 3.04) = 90.84
Min and max are this dataset's lowest (3.04) and highest (13.74) values, so the score is relative to the current country set.
Source
Our World in Data · Our World in Data
License
CC BY 4.0
Reference year
2020
Retrieved
2026-07-12
Confidence
Tier A — Official / robust
Source notes
Mean years of schooling series compiled by Our World in Data from UNDP Human Development Report and UNESCO education statistics.

Demographics & migration

Median ageTier ADescriptive
100 = oldest median age, 0 = youngest — descriptive, not better or worse
Ranks 27th of 237 · native score 64.49 · reference year 2023
89percentile
How is this calculated?
Metric
Median age
Scale
100 = oldest median age, 0 = youngest — descriptive, not better or worse
Raw value
43.538 years
Native score
64.49 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
89th percentile — ranks 27th of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (43.54 − 14.32) / (59.63 − 14.32) = 64.49
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 217th of 237 · native score 12.52 · reference year 2050
9percentile
How is this calculated?
Metric
Population change (projection)
Scale
100 = fastest projected growth, 0 = fastest projected decline — descriptive, not better or worse
Raw value
-16.3 % change 2024→2050
Native score
12.52 — this metric's own 0–100 scale; not comparable to other metrics.
Percentile rank
9th percentile — ranks 217th of 237. Comparable across metrics.
Normalization
Min–max (rescaled against the dataset)
score = 100 · (-16.3 − -32.9) / (99.7 − -32.9) = 12.52
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.