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Data

Child mortality rate

What you should know about this indicator

Additional information about this data

"This dataset provides annual estimates for 1950–2019 for numbers of deaths, mortality rate, and probability of death by sex for 6 age groups under 5 years: 0–6 days (early neonatal), 7–27 days (late neonatal), 1–5 months, 6–11 months, 12–23 months, and 2–4 years. There were 7417 sources used to produce these estimates. These included 28,016 location-years of vital registration data, 481 surveys with complete birth histories, and 1081 sources on summary birth histories."

Source
IHME, Global Burden of Disease (2019) – processed by Our World in Data
Last updated
December 19, 2020
Date range
1950–2019
Unit
%
Links
https://ghdx.healthdata.org/record/ihme-data/global-burden-disease-study-2019-gbd-2019-under-5-mortality-detailed-age-groups-1950-2019

Sources and processing

This data is based on the following sources

IHME, Global Burden of Disease (2019)

Data published by

Institute of Health Metrics and Evaluation

Retrieved on
October 13, 2022
Retrieved from
https://ghdx.healthdata.org/record/ihme-data/global-burden-disease-study-2019-gbd-2019-under-5-mortality-detailed-age-groups-1950-2019

How we process data at Our World in Data

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline

Reuse this work

  • All data produced by third-party providers and made available by Our World in Data are subject to the license terms from the original providers. Our work would not be possible without the data providers we rely on, so we ask you to always cite them appropriately (see below). This is crucial to allow data providers to continue doing their work, enhancing, maintaining and updating valuable data.
  • All data, visualizations, and code produced by Our World in Data are completely open access under the Creative Commons BY license. You have the permission to use, distribute, and reproduce these in any medium, provided the source and authors are credited.

Citations

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Child mortality rate”. Our World in Data (2026). Data adapted from IHME, Global Burden of Disease (2019). Retrieved from https://archive.ourworldindata.org/20260513-081740/grapher/child-mortality-rate-ihme.html [online resource] (archived on May 13, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

IHME, Global Burden of Disease (2019) – processed by Our World in Data

Full citation

IHME, Global Burden of Disease (2019) – processed by Our World in Data. “Child mortality rate” [dataset]. IHME, Global Burden of Disease (2019) [original data]. Retrieved May 13, 2026 from https://archive.ourworldindata.org/20260513-081740/grapher/child-mortality-rate-ihme.html (archived on May 13, 2026).

Download

Quick download

Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.

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Data API

Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.

Data URL (CSV format)
https://ourworldindata.org/grapher/child-mortality-rate-ihme.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/child-mortality-rate-ihme.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/child-mortality-rate-ihme.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/child-mortality-rate-ihme.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/child-mortality-rate-ihme.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/child-mortality-rate-ihme.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/child-mortality-rate-ihme.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/child-mortality-rate-ihme.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear