Tonga's mortality caused by road traffic injury (per 100,000 population) was 33 in 2019, the latest year in the World Bank's World Development Indicators. That is up 211.32% from 10.6 in 2009 (12.03% a year on average, compounded).
Key figures
| Value | Year | |
|---|---|---|
| Latest | 33 | 2019 |
| Five years earlier | 5.9 | 2014 |
| Ten years earlier | 10.6 | 2009 |
| Highest | 33 | 2019 |
| Lowest | 5.8 | 2010 |
| Average since 2010 | 13.5 | 2010–2019 |
| First recorded | 13.3 | 2000 |
What the numbers say
In 2019, Tonga's mortality caused by road traffic injury (per 100,000 population) rose 9.1 on 2018 (from 23.9 to 33).
Across the 18 yearly changes before that (2001 to 2018), the average change was +0.59 and a typical year strayed about 3.89 from that (the standard deviation). This year's change was 2.2 standard deviations above that average, so it was unusually large compared with the rest of the record.
On record, the biggest yearly rise was 10.9 in 2016 and the biggest yearly fall was 6.8 in 2009. The numbers show how large and when, not why; for the cause, look at what happened in that country in those years.
From 2010 to 2019 the straight-line trend is upward, about 2.6 a year. A straight line explains 73% of the movement over 10 observed years.
Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.
How it compares
In 2019, Tonga had the 14th highest value of the 183 economies reporting that year. Higher is not always better: for some indicators the lowest value is the one to aim for. See the full ranking.
| Value | Year | |
|---|---|---|
| Tonga | 33 | 2019 |
| World | 16.75 | 2019 |
| East Asia & Pacific | 16.51 | 2019 |
| Upper middle income | 17.15 | 2019 |
Closest to Tonga in the 2019 ranking
- Eswatini — 12th of 183: 33.5
- Malawi — 13th of 183: 33.4
- Sierra Leone — 14th of 183: 33
- Chad — 16th of 183: 32.4
- Guinea-Bissau — 17th of 183: 32.2
- Thailand — 18th of 183: 32.2
What this measures
Mortality caused by road traffic injury is estimated road traffic fatal injury deaths per 100,000 population.
Regional and income-group figures are computed by the World Bank as a weighted average.
All 20 values
| Year | Mortality caused by road traffic injury (per 100,000 population) |
|---|---|
| 2019 | 33 |
| 2018 | 23.9 |
| 2017 | 17.3 |
| 2016 | 17.8 |
| 2015 | 6.9 |
| 2014 | 5.9 |
| 2013 | 7.9 |
| 2012 | 7.8 |
| 2011 | 8.7 |
| 2010 | 5.8 |
| 2009 |
Mortality caused by road traffic injury (per 100,000 population) in nearby economies
- Australia — 4.9 (2019)
- Brunei Darussalam — 7.5 (2019)
- Cambodia — 19.6 (2019)
- China — 17.4 (2019)
- Fiji — 13.5 (2019)
- Indonesia — 11.3 (2019)
- Japan — 3.6 (2019)
- Kiribati — 1.9 (2019)
- Korea, Dem. People's Rep.
More health data for Tonga
- Population ages 00-04, female (% of female population) — 10.14% (2025)
- Population ages 00-04, male (% of male population) — 12.24% (2025)
- Population ages 0-14, female — 17,516 (2025)
- Population ages 0-14, female (% of female population) — 32% (2025)
- Population ages 0-14, male — 18,710 (2025)
- Population ages 0-14, male (% of male population) — 38.18% (2025)
- Population ages 0-14, total — 36,226 (2025)
- Population ages 0-14 (% of total population) — 34.92% (2025)
- Population ages 05-09, female (% of female population) — 10.35% (2025)
- Population ages 05-09, male (% of male population)
Reading data like this
Questions people ask
- What is Tonga's mortality caused by road traffic injury (per 100,000 population)?
- 33 in 2019, according to the World Bank (World Development Indicators).
- How has it changed since 2000?
- It is up 148.12% from 13.3 in 2000 (4.9% a year on average, compounded). The highest value was 33 in 2019 and the lowest 5.8 in 2010.
- How does Tonga rank?
- 14th highest of 183 economies with data for 2019.
- Is the latest change in mortality caused by road traffic injury (per 100,000 population) unusual for Tonga?
- In 2019, Tonga's mortality caused by road traffic injury (per 100,000 population) rose 9.1 on 2018 (from 23.9 to 33). Across the 18 yearly changes before that (2001 to 2018), the average change was +0.59 and a typical year strayed about 3.89 from that (the standard deviation). This year's change was 2.2 standard deviations above that average, so it was unusually large compared with the rest of the record.
Source
World Bank, World Development Indicators, indicator SH.STA.TRAF.P5, licensed CC BY 4.0. Original source: World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/)., World Health Organization (WHO), uri: https://www.who.int/data/gho Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.
Want to ask your own questions of data like this? Try AnalyzeIt: upload a file or ask about public data in plain words, and every figure comes with its working.
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