Annual number of wildfires
What you should know about this indicator
- Wildfires are detected through the use of satellite imagery obtained from MODIS (Moderate Resolution Imaging Spectroradiometer) and VIIRS (Visible Infrared Imaging Radiometer Suite). These satellite systems are capable of identifying thermal anomalies and alterations in landscape patterns, which are indicative of burning.
- The data provider is presently engaged in a global accuracy assessment and acknowledged that they might be underestimating the genuine impact of wildfires, primarily due to constraints imposed by the spatial resolution of the sensors they employ.
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Sources and processing
This data is based on the following sources
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.
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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: Annual number of wildfires”, part of the following publication: Hannah Ritchie, Pablo Rosado, and Veronika Samborska (2024) - “Climate Change”. Data adapted from Global Wildfire Information System. Retrieved from https://archive.ourworldindata.org/20260326-144924/grapher/annual-number-of-fires.html [online resource] (archived on March 26, 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 Wildfire Information System (2026); Global Wildfire Information System (2024) – with minor processing by Our World in DataFull citation
Global Wildfire Information System (2026); Global Wildfire Information System (2024) – with minor processing by Our World in Data. “Annual number of wildfires” [dataset]. Global Wildfire Information System, “Seasonal wildfire trends” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260326-144924/grapher/annual-number-of-fires.html (archived on March 26, 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.
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/annual-number-of-fires.csv?v=1&csvType=full&useColumnShortNames=falseMetadata URL (JSON format)
https://ourworldindata.org/grapher/annual-number-of-fires.metadata.json?v=1&csvType=full&useColumnShortNames=falseExcel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/annual-number-of-fires.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/annual-number-of-fires.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/annual-number-of-fires.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()R
library(jsonlite)
# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/annual-number-of-fires.csv?v=1&csvType=full&useColumnShortNames=false")
# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/annual-number-of-fires.metadata.json?v=1&csvType=full&useColumnShortNames=false")Stata
import delimited "https://ourworldindata.org/grapher/annual-number-of-fires.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear