Congo, Rep.: Mortality caused by road traffic injury (per 100,000 population)

Key figures

What the numbers say

In 2019, Congo, Rep.'s mortality caused by road traffic injury (per 100,000 population) rose 0.5 on 2018 (from 29.2 to 29.7).

Across the 18 yearly changes before that (2001 to 2018), the average change was +0.16 and a typical year strayed about 0.33 from that (the standard deviation). This year's change was 1.0 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 0.8 in 2010 and the biggest yearly fall was 0.3 in 2005. 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 0.32 a year. A straight line explains 88% 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.

A straight-line projection, tested first

Extending that straight line gives about 30.18 for 2022. We show this only because the same method, fitted on earlier years, predicted 2017 to 2019 better than "no change" would have: its average miss was 0.77, against 0.97 for assuming no change. Treat it as a continuation of the recent pattern, not a forecast of events: it cannot see a recession, a policy change or a revision to the data.

See how a linear trend forecast works and the guide on forecasting without fooling yourself.

How it compares

In 2019, Congo, Rep. had the 26th 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.

Closest to Congo, Rep. in the 2019 ranking

• Cameroon — 23rd of 183: 30.2
• Mozambique — 24th of 183: 30
• St. Lucia — 25th of 183: 29.8
• Guinea — 27th of 183: 29.7
• Gambia, The — 28th of 183: 29.6
• Rwanda — 29th of 183: 29.4

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

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)
• Chad — 32.4 (2019)

More health data for Congo, Rep.

• Population ages 00-04, female (% of female population) — 13.9% (2025)
• Population ages 00-04, male (% of male population) — 14.18% (2025)
• Population ages 0-14, female — 1.28 million (2025)
• Population ages 0-14, female (% of female population) — 39.57% (2025)
• Population ages 0-14, male — 1.31 million (2025)
• Population ages 0-14, male (% of male population) — 40.31% (2025)
• Population ages 0-14, total — 2.59 million (2025)
• Population ages 0-14 (% of total population) — 39.94% (2025)
• Population ages 05-09, female (% of female population) — 13% (2025)

Reading data like this

• Where to find free public data, and how to check it before you trust it — 2 min read
• Data analysis examples: 6 worked from one dataset — 3 min read
• Real change or random noise? A plain guide to reading your numbers — 2 min read

Questions people ask

What is Congo, Rep.'s mortality caused by road traffic injury (per 100,000 population)?

29.7 in 2019, according to the World Bank (World Development Indicators).

How has it changed since 2000?

It is up 12.93% from 26.3 in 2000 (0.64% a year on average, compounded). The highest value was 29.7 in 2019 and the lowest 25.5 in 2005.

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.

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