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Data

Rate of new cervical cancer cases

See all data and research on:
Cancer

What you should know about this indicator

How is this data described by its producer?

An age-standardized rate (ASR) is a summary measure of the rate that would have been observed if the population had a standard age structure. Standardization is necessary when comparing several populations that differ with respect to age, because age has a strong influence on the risk of cancer. An ASR is a weighted mean of the age-specific rates; the weighting is based on the population distribution of a standard population. The most frequently used standard population is the World (W) Standard Population. The calculated incidence rate is then called the age-standardized incidence or mortality rate (W), and is expressed per 100 000 person-years. The World Standard Population used in GLOBOCAN was first proposed by Segi (1960)a and later modified by Doll et al. (1966)b.

Rate of new cervical cancer cases
Estimated number of new cervical cases per 100,000 women.
Source
Global Cancer Observatory (2024) – processed by Our World in Data
Last updated
October 13, 2024
Next expected update
May 2026
Date range
2022–2022
Unit
per 100,000 women

Related research and writing

Thumbnail for article 'HPV vaccination: How the world can eliminate cervical cancer'

HPV vaccination: How the world can eliminate cervical cancer

Saloni Dattani and Veronika Samborska

Sources and processing

This data is based on the following sources

Global Cancer Observatory – Cancer Today - Cervical cancer

Cancer Today enables a comprehensive assessment of the cancer burden worldwide in 2022, based on the GLOBOCAN estimates of incidence, mortality and prevalence for year 2022 in 185 countries or territories for 36 cancer types by sex and age group.

Caution must be exercised when interpreting these estimates, given the limited quality and coverage of cancer data worldwide at present, particularly in low- and middle-income countries. IARC’s approach is not only to evaluate, compile, and use the data from the Agency’s collaborators in these estimates but also to work alongside national staff to improve local data quality, registry coverage, and analytical capacity. The clear need for investment in population-based cancer registration in low- and middle-income countries led to the launch of the Global Initiative for Cancer Registry Development (GICR), coordinated by IARC. The goal of the GICR is to inform cancer control through defined improvements in the coverage, quality, and use of population-based cancer registration data worldwide. You can read more about these global efforts here.

The methods of estimation are country-specific, and the quality of the national estimates depends on the coverage, accuracy, and timeliness of the recorded incidence and mortality data in a given country.

This specific dataset includes data on age-standardized incidence rates of cervical cancer amongst women in 2022.

Retrieved on
October 13, 2024
Retrieved from
https://gco.iarc.fr/today/en/dataviz/maps-heatmap?mode=population&cancers=23&sexes=2
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, Jemal A. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024 May-Jun;74(3):229-263. doi: 10.3322/caac.21834. Epub 2024 Apr 4. PMID: 38572751.

Cancer Today enables a comprehensive assessment of the cancer burden worldwide in 2022, based on the GLOBOCAN estimates of incidence, mortality and prevalence for year 2022 in 185 countries or territories for 36 cancer types by sex and age group.

Caution must be exercised when interpreting these estimates, given the limited quality and coverage of cancer data worldwide at present, particularly in low- and middle-income countries. IARC’s approach is not only to evaluate, compile, and use the data from the Agency’s collaborators in these estimates but also to work alongside national staff to improve local data quality, registry coverage, and analytical capacity. The clear need for investment in population-based cancer registration in low- and middle-income countries led to the launch of the Global Initiative for Cancer Registry Development (GICR), coordinated by IARC. The goal of the GICR is to inform cancer control through defined improvements in the coverage, quality, and use of population-based cancer registration data worldwide. You can read more about these global efforts here.

The methods of estimation are country-specific, and the quality of the national estimates depends on the coverage, accuracy, and timeliness of the recorded incidence and mortality data in a given country.

This specific dataset includes data on age-standardized incidence rates of cervical cancer amongst women in 2022.

Retrieved on
October 13, 2024
Retrieved from
https://gco.iarc.fr/today/en/dataviz/maps-heatmap?mode=population&cancers=23&sexes=2
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, Jemal A. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024 May-Jun;74(3):229-263. doi: 10.3322/caac.21834. Epub 2024 Apr 4. PMID: 38572751.

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: Rate of new cervical cancer cases”, part of the following publication: Saloni Dattani, Veronika Samborska, Hannah Ritchie, and Max Roser (2024) - “Cancer”. Data adapted from Global Cancer Observatory. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/rate-of-new-cervical-cancer-cases-gco.html [online resource] (archived on March 4, 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:

Global Cancer Observatory (2024) – processed by Our World in Data

Full citation

Global Cancer Observatory (2024) – processed by Our World in Data. “Rate of new cervical cancer cases” [dataset]. Global Cancer Observatory, “Cancer Today - Cervical cancer” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/rate-of-new-cervical-cancer-cases-gco.html (archived on March 4, 2026).

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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/rate-of-new-cervical-cancer-cases-gco.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/rate-of-new-cervical-cancer-cases-gco.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/rate-of-new-cervical-cancer-cases-gco.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/rate-of-new-cervical-cancer-cases-gco.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/rate-of-new-cervical-cancer-cases-gco.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/rate-of-new-cervical-cancer-cases-gco.csv?v=1&csvType=full&useColumnShortNames=false")

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