Infant mortality (per 1,000 live births)
Definition
Number of children dying before age one per 1,000 live births in the year. Estimate from the UN Inter-agency Group for Child Mortality Estimation (UN IGME).
- Formula
- IMR = deaths under age 1 / live births × 1,000 (model-based estimate).
- Unit
- per 1,000 live births
- License
- CC-BY-4.0
Infant mortality (per 1,000 live births)
- Brazil
- Argentina
- Chile
- Colombia
- Mexico
- Latin America & Caribbean
- World
- Infant mortality (per 1,000 live births)
- Source: World Bank — World Development Indicators · Source version: 2026-10-08 · Collected on: 2026-11-01 · License: CC-BY-4.0
· Paper behind the metric: Alkema, L
Download data (CSV) · View the code: collection code · chart.ts
View the data as a table
| Year | Brazil | Argentina | Chile | Colombia | Mexico | Latin America & Caribbean | World |
|---|---|---|---|---|---|---|---|
| 1975 | 90.9 | 53.1 | 55.6 | 60.5 | 70.6 | – | – |
| 1976 | 88.4 | 50.3 | 48.6 | 57.6 | 68.3 | – | – |
| 1977 | 85.7 | 47.0 | 41.4 | 54.7 | 66.0 | – | – |
| 1978 | 82.9 | 43.2 | 35.6 | 51.8 | 63.6 | – | – |
| 1979 | 79.9 | 39.6 | 31.5 | 49.0 | 61.3 | – | – |
| 1980 | 76.7 | 36.3 | 28.3 | 46.4 | 58.8 | – | – |
| 1981 | 73.6 | 33.5 | 25.4 | 43.9 | 56.4 | – | – |
| 1982 | 70.4 | 31.1 | 22.8 | 41.5 | 54.1 | – | – |
| 1983 | 67.4 | 29.1 | 20.9 | 39.3 | 51.8 | – | – |
| 1984 | 64.8 | 27.4 | 19.6 | 37.4 | 49.6 | – | – |
| 1985 | 62.3 | 26.2 | 18.8 | 37.7 | 47.6 | – | – |
| 1986 | 60.1 | 25.4 | 18.6 | 34.1 | 45.6 | – | – |
| 1987 | 58.1 | 25.0 | 18.4 | 32.8 | 43.6 | – | – |
| 1988 | 56.0 | 24.9 | 18.0 | 31.6 | 41.8 | – | – |
| 1989 | 54.0 | 24.9 | 17.1 | 30.6 | 39.9 | – | – |
| 1990 | 51.9 | 24.8 | 15.9 | 29.6 | 38.2 | 44.1 | 64.0 |
| 1991 | 49.8 | 24.5 | 14.7 | 28.8 | 36.5 | 42.3 | 64.0 |
| 1992 | 47.4 | 23.8 | 13.6 | 27.9 | 34.8 | 40.4 | 63.3 |
| 1993 | 44.9 | 23.0 | 12.5 | 27.0 | 33.3 | 38.6 | 62.5 |
| 1994 | 42.4 | 22.0 | 11.6 | 26.2 | 31.7 | 36.7 | 61.4 |
| 1995 | 39.9 | 20.9 | 10.9 | 25.3 | 30.3 | 35.0 | 60.2 |
| 1996 | 37.5 | 19.9 | 10.5 | 24.5 | 28.9 | 33.3 | 59.5 |
| 1997 | 35.2 | 18.9 | 10.3 | 23.7 | 27.5 | 31.6 | 58.1 |
| 1998 | 33.1 | 18.0 | 10.0 | 23.0 | 26.3 | 30.2 | 57.0 |
| 1999 | 31.1 | 17.3 | 9.6 | 22.2 | 25.1 | 28.5 | 55.1 |
| 2000 | 29.1 | 16.7 | 9.2 | 21.6 | 24.0 | 27.1 | 53.3 |
| 2001 | 27.3 | 16.2 | 8.7 | 21.0 | 22.9 | 25.8 | 51.9 |
| 2002 | 25.6 | 15.8 | 8.3 | 20.4 | 21.9 | 24.6 | 49.9 |
| 2003 | 24.0 | 15.3 | 8.0 | 19.8 | 21.0 | 23.5 | 48.0 |
| 2004 | 22.4 | 14.9 | 7.8 | 19.3 | 20.2 | 22.4 | 46.3 |
| 2005 | 21.0 | 14.4 | 7.7 | 18.7 | 19.5 | 21.5 | 44.1 |
| 2006 | 19.7 | 14.0 | 7.7 | 18.2 | 18.9 | 20.6 | 42.3 |
| 2007 | 18.6 | 13.6 | 7.6 | 17.7 | 18.4 | 19.8 | 40.7 |
| 2008 | 17.6 | 13.2 | 7.6 | 17.2 | 17.9 | 19.1 | 39.2 |
| 2009 | 16.7 | 12.8 | 7.5 | 16.7 | 17.4 | 18.5 | 38.0 |
| 2010 | 16.0 | 12.4 | 7.5 | 16.2 | 17.0 | 18.5 | 36.7 |
| 2011 | 15.3 | 11.9 | 7.4 | 15.7 | 16.6 | 17.3 | 35.9 |
| 2012 | 14.8 | 11.4 | 7.3 | 15.2 | 16.2 | 16.9 | 34.0 |
| 2013 | 14.4 | 10.9 | 7.1 | 14.8 | 15.8 | 16.4 | 33.1 |
| 2014 | 14.0 | 10.4 | 6.9 | 14.3 | 15.4 | 16.0 | 32.1 |
| 2015 | 13.7 | 10.0 | 6.8 | 13.9 | 15.0 | 15.6 | 31.5 |
| 2016 | 14.6 | 9.7 | 6.7 | 13.5 | 14.7 | 15.9 | 30.6 |
| 2017 | 13.3 | 9.4 | 6.5 | 13.1 | 14.4 | 15.3 | 30.0 |
| 2018 | 13.1 | 9.1 | 6.3 | 12.7 | 14.0 | 14.9 | 29.6 |
| 2019 | 12.9 | 8.9 | 6.0 | 12.3 | 13.7 | 14.6 | 29.2 |
| 2020 | 12.8 | 8.7 | 5.8 | 11.9 | 13.4 | 14.4 | 29.1 |
| 2021 | 12.7 | 8.5 | 5.8 | 11.5 | 13.1 | 14.1 | 29.3 |
| 2022 | 12.6 | 8.4 | 5.9 | 11.2 | 12.8 | 13.9 | 29.3 |
| 2023 | 12.4 | 8.2 | 5.9 | 10.8 | 12.4 | 13.6 | 28.4 |
| 2024 | 12.3 | 8.0 | 5.8 | 10.5 | 12.1 | 13.3 | 27.7 |
Criticisms of the metric
- Values come from a model that smooths the series and combines sources; abrupt changes appear damped and the whole series is revised each edition (Alkema and New, 2014).
- In the 1980s under-registration of deaths and births in Brazil was high, especially in the North and Northeast; levels for that decade are more uncertain.
References
- Alkema, L., & New, J. R. (2014). Global estimation of child mortality using a Bayesian B-spline bias-reduction model. The Annals of Applied Statistics, 8(4), 2122–2149. doi:10.1214/14-AOAS768