Data

Number of airline passengers per year

What you should know about this indicator

How is this data described by its producer?

Air carrier data per country refers to passengers carried by airlines registered in that country regardless of the origin or destination of the passengers.

Aggregation method:

Sum

Statistical concept and methodology:

Methodology: The data is obtained from airports, airport operators, airport websites and/or civil aviation authorities. Data on passengers are reported annually by each State (for all its commercial air carriers, including scheduled and non-scheduled flights) via standardized forms sent to ICAO.

Each passenger is counted once per flight number and not repeatedly on each individual stage of that flight, with a single exception that a passenger flying on both the international and domestic stages of the same flight should be counted as both a domestic and an international passenger.

Where some carriers do not report, ICAO may use historical reports or published flight-schedules to estimate their traffic. Statistical concept(s): The number of passengers carried is obtained by counting each passenger on a particular flight (with one flight number) once only and not repeatedly on each individual stage of that flight, with a single exception that a passenger flying on both the international and domestic stages of the same flight should be counted as both a domestic and an international passenger.

Development relevance:

Aviation traffic data are essential for understanding the role of air transport in economic development, global connectivity, and social progress. These statistics, covering passenger volumes, freight volumes, and aircraft departures, provide a standardized measure of air transport activity across countries and regions and are closely linked to economic growth, trade integration, tourism development, and labor mobility.

Aviation traffic indicators also help assess the resilience and efficiency of transport systems, track the recovery from economic shocks or crises, and identify capacity constraints or infrastructure investment needs.

From a development perspective, aviation statistics support evidence-based policy making in areas such as transport planning, regional integration, climate and emissions management, and inclusive access to services, making them a key input for monitoring progress toward sustainable and connected economies.

Limitations and exceptions:

While ICAO aviation data provide a globally standardized and comprehensive view of air transport activity, several limitations affect their accuracy and comparability. Data quality depends on the completeness and consistency of country reporting, which can vary due to differences in national statistical capacity, regulatory environments, and adherence to ICAO definitions. Some countries may not report all relevant data, leading ICAO to estimate missing values using historical submissions and published schedules, which can introduce uncertainty. Changes in airline registration, mergers, or operational practices may also affect the attribution of traffic statistics. Additionally, the aggregation of scheduled and non-scheduled services, as well as the treatment of transit and transfer passengers, may differ across countries, impacting cross-country comparability.

Source
International Civil Aviation Organization (ICAO), via World Bank (2026)processed by Our World in Data
Last updated
February 27, 2026
Next expected update
February 2027
Date range
1970–2023

Sources and processing

International Civil Aviation Organization (ICAO), via World Bank – World Development Indicators

The World Development Indicators (WDI) database, published by the World Bank, is a comprehensive collection of global development data, providing key economic, social, and environmental statistics. It includes over 1,500 indicators covering more than 200 countries and territories, with data spanning several decades.WDI serves as a vital resource for policymakers, researchers, businesses, and analysts seeking to understand global trends and make data-driven decisions. The database covers a wide range of topics, including economic growth, education, health, poverty, trade, energy, infrastructure, governance, and environmental sustainability.The indicators are sourced from reputable national and international agencies, ensuring high-quality, consistent, and comparable data. Users can access the database through interactive online tools, API services, and downloadable datasets, facilitating detailed analysis and visualization.WDI is also used for tracking progress on the Sustainable Development Goals (SDGs) and other global development initiatives. By providing accessible and reliable statistics, it helps to inform policy discussions and strategies globally.Whether for academic research, policy planning, or economic analysis, the World Development Indicators database is an essential tool for understanding and addressing global development challenges.

Retrieved on
February 27, 2026
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.
Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO), uri: https://data.icao.int/newdataplus/#:~:text=ICAO%20data%20is%20comprised%20of,information%20about%20commercial%20air%20carriers;
ICAO Staff estimates, International Civil Aviation Organization (ICAO), uri: https://data.icao.int/newdataplus/#:~:text=ICAO%20data%20is%20comprised%20of,information%20about%20commercial%20air%20carriers. Indicator IS.AIR.PSGR (https://data.worldbank.org/indicator/IS.AIR.PSGR). World Development Indicators - World Bank (2026). Accessed on 2026-02-27.

The World Development Indicators (WDI) database, published by the World Bank, is a comprehensive collection of global development data, providing key economic, social, and environmental statistics. It includes over 1,500 indicators covering more than 200 countries and territories, with data spanning several decades.WDI serves as a vital resource for policymakers, researchers, businesses, and analysts seeking to understand global trends and make data-driven decisions. The database covers a wide range of topics, including economic growth, education, health, poverty, trade, energy, infrastructure, governance, and environmental sustainability.The indicators are sourced from reputable national and international agencies, ensuring high-quality, consistent, and comparable data. Users can access the database through interactive online tools, API services, and downloadable datasets, facilitating detailed analysis and visualization.WDI is also used for tracking progress on the Sustainable Development Goals (SDGs) and other global development initiatives. By providing accessible and reliable statistics, it helps to inform policy discussions and strategies globally.Whether for academic research, policy planning, or economic analysis, the World Development Indicators database is an essential tool for understanding and addressing global development challenges.

Retrieved on
February 27, 2026
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.
Civil Aviation Statistics of the World, International Civil Aviation Organization (ICAO), uri: https://data.icao.int/newdataplus/#:~:text=ICAO%20data%20is%20comprised%20of,information%20about%20commercial%20air%20carriers;
ICAO Staff estimates, International Civil Aviation Organization (ICAO), uri: https://data.icao.int/newdataplus/#:~:text=ICAO%20data%20is%20comprised%20of,information%20about%20commercial%20air%20carriers. Indicator IS.AIR.PSGR (https://data.worldbank.org/indicator/IS.AIR.PSGR). World Development Indicators - World Bank (2026). Accessed on 2026-02-27.

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

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: Number of airline passengers per year”. Our World in Data (2026). Data adapted from International Civil Aviation Organization (ICAO), via World Bank. Retrieved from https://archive.ourworldindata.org/20260512-185716/grapher/number-airline-passengers.html [online resource] (archived on May 12, 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:

International Civil Aviation Organization (ICAO), via World Bank (2026) – processed by Our World in Data

Full citation

International Civil Aviation Organization (ICAO), via World Bank (2026) – processed by Our World in Data. “Number of airline passengers per year” [dataset]. International Civil Aviation Organization (ICAO), via World Bank, “World Development Indicators 125” [original data]. Retrieved May 13, 2026 from https://archive.ourworldindata.org/20260512-185716/grapher/number-airline-passengers.html (archived on May 12, 2026).

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/number-airline-passengers.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/number-airline-passengers.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/number-airline-passengers.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/number-airline-passengers.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/number-airline-passengers.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

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

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