Chad's mortality caused by road traffic injury (per 100,000 population) was 32.4 in 2019, the latest year in the World Bank's World Development Indicators. That is up 30.12% from 24.9 in 2009 (2.67% a year on average, compounded).
Key figures
| Value | Year | |
|---|---|---|
| Latest | 32.4 | 2019 |
| Five years earlier | 24.6 | 2014 |
| Ten years earlier | 24.9 | 2009 |
| Highest | 32.4 | 2019 |
| Lowest | 23.7 | 2012 |
| Average since 2010 | 26.68 | 2010–2019 |
| First recorded | 27 | 2000 |
What the numbers say
In 2019, Chad's mortality caused by road traffic injury (per 100,000 population) rose 1.8 on 2018 (from 30.6 to 32.4).
Across the 18 yearly changes before that (2001 to 2018), the average change was +0.2 and a typical year strayed about 0.86 from that (the standard deviation). This year's change was 1.9 standard deviations above that average, so it was larger than a typical year, though not out of the range seen before.
On record, the biggest yearly rise was 1.8 in 2019 and the biggest yearly fall was 1.3 in 2004. 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 0.89 a year. A straight line explains 80% 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, Chad had the 16th 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 | |
|---|---|---|
| Chad | 32.4 | 2019 |
| World | 16.75 | 2019 |
| Sub-Saharan Africa | 27.42 | 2019 |
| Low income | 28.67 | 2019 |
Closest to Chad in the 2019 ranking
- Malawi — 13th of 183: 33.4
- Sierra Leone — 14th of 183: 33
- Tonga — 15th of 183: 33
- Guinea-Bissau — 17th of 183: 32.2
- Thailand — 18th of 183: 32.2
- Lesotho — 19th of 183: 31.9
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 | 32.4 |
| 2018 | 30.6 |
| 2017 | 28.9 |
| 2016 | 27.4 |
| 2015 | 25.7 |
| 2014 | 24.6 |
| 2013 | 24 |
| 2012 | 23.7 |
| 2011 | 24.8 |
| 2010 | 24.7 |
| 2009 |
Mortality caused by road traffic injury (per 100,000 population) in nearby economies
- Angola — 26.1 (2019)
- Benin — 26.8 (2019)
- Botswana — 26.4 (2019)
- Burkina Faso — 31 (2019)
- Burundi — 35.5 (2019)
- Cabo Verde — 26.8 (2019)
- Cameroon — 30.2 (2019)
- Central African Republic — 37.7 (2019)
- Comoros
More health data for Chad
- Population ages 00-04, female (% of female population) — 18.02% (2025)
- Population ages 00-04, male (% of male population) — 18.42% (2025)
- Population ages 0-14, female — 4.76 million (2025)
- Population ages 0-14, female (% of female population) — 45.49% (2025)
- Population ages 0-14, male — 4.89 million (2025)
- Population ages 0-14, male (% of male population) — 46.43% (2025)
- Population ages 0-14, total — 9.65 million (2025)
- Population ages 0-14 (% of total population) — 45.96% (2025)
- Population ages 05-09, female (% of female population) — 14.8% (2025)
- Population ages 05-09, male (% of male population)
Reading data like this
Questions people ask
- What is Chad's mortality caused by road traffic injury (per 100,000 population)?
- 32.4 in 2019, according to the World Bank (World Development Indicators).
- How has it changed since 2000?
- It is up 20% from 27 in 2000 (0.96% a year on average, compounded). The highest value was 32.4 in 2019 and the lowest 23.7 in 2012.
- How does Chad rank?
- 16th 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 Chad?
- In 2019, Chad's mortality caused by road traffic injury (per 100,000 population) rose 1.8 on 2018 (from 30.6 to 32.4). Across the 18 yearly changes before that (2001 to 2018), the average change was +0.2 and a typical year strayed about 0.86 from that (the standard deviation). This year's change was 1.9 standard deviations above that average, so it was larger than a typical year, though not out of the range seen before.
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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