Please Note: As announced by the Minister for Immigration and Border Protection on 25 June 2017, the Department of Immigration and Border Protection (DIBP) retired the paper-based Outgoing Passenger Cards (OPC) from 1 July 2017. The information previously gathered via paper-based outgoing passenger cards is now be collated from existing government data and will continue to be provided to users. Further information can be accessed here: http://www.minister.border.gov.au/peterdutton/Pages/removal-of-the-outgoing-passenger-card-jun17.aspx.

Due to the retirement of the OPC, the Australian Bureau of Statistics (ABS) undertook a review of the OAD data based on a new methodology. Further information on this revised methodology is available at: http://www.abs.gov.au/AUSSTATS/abs@.nsf/Previousproducts/3401.0Appendix2Jul%202017?opendocument&tabname=Notes&prodno=3401.0&issue=Jul%202017&num=&view=

A sampling methodology has been applied to this dataset. This method means that data will not replicate, exactly, data released by the ABS, but the differences should be negligible.

Due to ‘Return to Source’ limitations, data supplied to ABS from non-DIPB sources are also excluded.

Overseas Arrivals and Departures (OAD) data refers to the arrival and departure of Australian residents or overseas visitors, through Australian airports and sea ports, which have been recorded on incoming or outgoing passenger cards. OAD data describes the number of movements of travellers rather than the number of travellers. That is, multiple movements of individual persons during a given reference period are all counted. OAD data will differ from data derived from other sources, such as Migration Program Outcomes, Settlement Database or Visa Grant information. Travellers granted a visa in one year may not arrive until the following year, or may not travel to Australia at all. Some visas permit multiple entries to Australia, so travellers may enter Australia more than once on a visa. Settler Arrivals includes New Zealand citizens and other non-program settlers not included on the Settlement Database. The Settlement Database includes onshore processed grants not included in Settler Arrivals.

These de-identified statistics are periodically checked for privacy and other compliance requirements. The statistics were temporarily removed in March 2024 in response to a question about privacy within the emerging technological environment. Following a thorough review and risk assessment, the Department of Home Affairs has republished the dataset.

In 2022, Australia's net overseas migration (NOM) arrivals totaled 634.8 thousand people. Over the period between 2011 and 2019, Australia's NOM arrivals had been increasing steadily until travel restrictions imposed during the COVID-19 pandemic led to a sharp decrease in arrivals in 2020 and 2021.

Statistics of overseas arrivals in, and departures from, Australia are collected by means of the Incoming and Outgoing Passenger cards completed by all travellers. As well as being used for statistical purposes, the information collected is used by the Department of Immigration and Ethnic Affairs for administrative purposes. Data is made available on a quarterly basis from the first quarter of 1980, and relates to the number of movements in a specified time, rather than the number of travellers (i.e. the multiple movements of individual persons within the time period are each counted separately). This particular data set refers to information collected in 1983. Information collected includes category and mode of travel, reason for journey, duration of stay, country of birth, citizenship, dis/embarkation, as well as age, marital status, sex and occupation.

The number of overseas arrivals to the Australian state of New South Wales reached approximately 41,110 in June 2021. This figure is a 93.4 percent decrease from May 2019. In response to the COVID-19 pandemic, the Australian government began implementing travel restrictions in early 2020.

Departures and net movements of Ecuadorians and foreigners according to canton of location of the migration headquarters and sex - 2019

This dataset presents the estimates of the internal and overseas migration statistics of Australia by age by Statistical Area Level 2 (SA2) following the 2016 Australian Statistical Geography Standard (ASGS). The dataset spans from the 2016-17 financial year up to the 2019-20 financial year. Overseas migration is the movement of people from overseas to Australia's sub-state areas and vice-versa. It cannot be directly measured and is estimated by breaking down overseas migrant arrivals and departures at the state level to sub-state areas, using information from the most recent Census. The state-level overseas migration data is sourced from Department of Home Affairs processing systems, visa information, and incoming passenger cards, and is published in National, state and territory population. Internal migration is the movement of people across a specified boundary within Australia involving a change in place of usual residence. It cannot be directly measured and is instead estimated using administrative data. The movement of people between and within Australia's states and territories cannot be directly measured and is estimated using administrative data. Internal migration is estimated based on a combination of Census data (usual address one year ago), Medicare change of address data (provided by Services Australia), and Department of Defence records (for military personnel only). The Medicare source data is assigned to a state or territory and GCCSA for a person's departure and arrival locations, based on the postcodes of their residential addresses as registered with Medicare. Postcodes are assigned wholly to a state/territory and GCCSA based on best fit. Where a postcode is split across areas, it is assigned to the area that contains the majority of that postcode's population. For more information please visit the Regional population methodology. AURIN has spatially enabled the original data.

Australia Visitor Nights: Total data was reported at 69,467.578 Night th in Sep 2019. This records an increase from the previous number of 54,185.652 Night th for Jun 2019. Australia Visitor Nights: Total data is updated quarterly, averaging 51,325.432 Night th from Sep 2005 (Median) to Sep 2019, with 57 observations. The data reached an all-time high of 87,124.141 Night th in Mar 2018 and a record low of 29,350.481 Night th in Jun 2006. Australia Visitor Nights: Total data remains active status in CEIC and is reported by Tourism Research Australia. The data is categorized under Global Database’s Australia – Table AU.Q021: Visitor Nights: by Purpose and by Countries (Discontinued). In March 2014, the Australian Bureau of Statistics (ABS) completed a rebuild of the Overseas Arrivals and Departures System. The changes reflect major revisions to the methodology.

International travel and migration statistics count passengers arriving into and departing from New Zealand. Passengers are split into one of three passenger types: overseas visitors, New Zealand-resident travellers, and permanent and long-term migrants. Arrivals and departures of overseas visitors and New Zealand-resident travellers are key indicators of tourism and travel. Permanent and long-term migration is a component of New Zealand’s population change, along with births and deaths. Migration affects the composition of the population as well as population size. International travel and migration statistics are based on electronic arrival and departure records for each international passenger, supplied to Stats NZ by the New Zealand Customs Service. These electronic records include flight and passport details, such as date of travel, date of birth, sex, and country of citizenship.

Mapping No. of Passengers in arrivals and departures (international flights), by airport 2018, Source: Nigeria Bureau of Statistics, 2018, https://nigerianstat.gov.ng/resource/JAN-DEC%202018%20Harmonised%20Air%20Traffic%20Statistics.xlsx

This statistic displays the total number of international flight departures and arrivals in Taiwan from 2008 to 2018. In 2018, there were around ***** thousand international flights arriving into or departing from airports in Taiwan.

This dataset presents the estimates of the internal and overseas migration statistics of Australia by age by Statistical Area Level 4 (SA4) following the 2016 Australian Statistical Geography Standard (ASGS). The dataset spans from the 2016-17 financial year up to the 2019-20 financial year. Overseas migration is the movement of people from overseas to Australia's sub-state areas and vice-versa. It cannot be directly measured and is estimated by breaking down overseas migrant arrivals and departures at the state level to sub-state areas, using information from the most recent Census. The state-level overseas migration data is sourced from Department of Home Affairs processing systems, visa information, and incoming passenger cards, and is published in National, state and territory population. Internal migration is the movement of people across a specified boundary within Australia involving a change in place of usual residence. It cannot be directly measured and is instead estimated using administrative data. The movement of people between and within Australia's states and territories cannot be directly measured and is estimated using administrative data. Internal migration is estimated based on a combination of Census data (usual address one year ago), Medicare change of address data (provided by Services Australia), and Department of Defence records (for military personnel only). The Medicare source data is assigned to a state or territory and GCCSA for a person's departure and arrival locations, based on the postcodes of their residential addresses as registered with Medicare. Postcodes are assigned wholly to a state/territory and GCCSA based on best fit. Where a postcode is split across areas, it is assigned to the area that contains the majority of that postcode's population. For more information please visit the Regional population methodology. AURIN has spatially enabled the original data.

The King Khalid International Airport Flights Dataset provides comprehensive flight movement data for both arrivals and departures at King Khalid International Airport (RUH / OERK), located in Riyadh, Saudi Arabia. This airport serves as a major hub for domestic and international air traffic across the Middle East.

The dataset was collected from multiple aviation and flight-tracking APIs, then cleaned, merged, and standardized into a single file stored in the efficient Apache Parquet format. Parquet ensures compact storage, faster read performance, and compatibility with modern data processing frameworks.

It contains a total of 153,308 records and 23 columns,each record includes detailed flight information such as flight number, aircraft model and registration, airline identifiers (IATA/ICAO), movement type (arrival or departure), flight status, cargo indicator, terminal, and scheduled times in both UTC and local time zones. It also contains structured information describing both origin and destination airports, including their IATA/ICAO codes, airport names, and time zones.

This dataset is suitable for data scientists, researchers, and aviation analysts interested in airport traffic analytics, flight scheduling patterns, operational efficiency, delay prediction, and airline performance studies. Its clear schema and consistent structure make it ideal for use in data visualization, statistical modeling, and machine learning projects.

You can work with this dataset using a variety of modern tools and frameworks, such as:

Python (Pandas, Polars, PyArrow, FastParquet) for data exploration and processing Jupyter or Kaggle Notebooks for interactive analysis and prototyping. Power BI or Tableau for data visualization and reporting. Apache Spark, DuckDB, or Dask for large-scale data handling. Matplotlib, Seaborn, or Plotly for data visualization and trend analysis. SQL-based analytical databases such as PostgreSQL, Amazon Redshift, Google BigQuery, or Snowflake for structured querying. The King Khalid International Airport Flights Dataset provides a structured, real-world view of air traffic activity in one of the Middle East’s most significant transportation hubs and is ready for advanced analysis and research applications.

This dataset presents the estimates of the internal and overseas migration statistics of Australia by age by Greater Capital City Statistical Area (GCCSA) following the 2016 Australian Statistical Geography Standard (ASGS). The dataset spans from the 2016-17 financial year up to the 2019-20 financial year.

Overseas migration is the movement of people from overseas to Australia's sub-state areas and vice-versa. It cannot be directly measured and is estimated by breaking down overseas migrant arrivals and departures at the state level to sub-state areas, using information from the most recent Census. The state-level overseas migration data is sourced from Department of Home Affairs processing systems, visa information, and incoming passenger cards, and is published in National, state and territory population.

Internal migration is the movement of people across a specified boundary within Australia involving a change in place of usual residence. It cannot be directly measured and is instead estimated using administrative data. The movement of people between and within Australia's states and territories cannot be directly measured and is estimated using administrative data. Internal migration is estimated based on a combination of Census data (usual address one year ago), Medicare change of address data (provided by Services Australia), and Department of Defence records (for military personnel only).

The Medicare source data is assigned to a state or territory and GCCSA for a person's departure and arrival locations, based on the postcodes of their residential addresses as registered with Medicare. Postcodes are assigned wholly to a state/territory and GCCSA based on best fit. Where a postcode is split across areas, it is assigned to the area that contains the majority of that postcode's population.

For more information please visit the Regional population methodology.

AURIN has spatially enabled the original data.

International travel and migration statistics count passengers arriving into and departing from New Zealand. Passengers are split into one of three passenger types: overseas visitors, New Zealand-resident travellers, and permanent and long-term migrants. Arrivals and departures of overseas visitors and New Zealand-resident travellers are key indicators of tourism and travel. Permanent and long-term migration is a component of New Zealand’s population change, along with births and deaths. Migration affects the composition of the population as well as population size. International travel and migration statistics are based on electronic arrival and departure records for each international passenger, supplied to Stats NZ by the New Zealand Customs Service. These electronic records include flight and passport details, such as date of travel, date of birth, sex, and country of citizenship.

Due to the COVID-19 pandemic, the Mexico City International Airport (MEX) experienced a reduction of more than half in passenger traffic volume in 2020. This represents a strong reversal in the steady growing number of passengers handled at this airport. Officially named after former Mexican president Benito Juárez, this international airport is Mexico's busiest commercial airport.

Arrivals and Departures of Ecuadorians and foreigners, according to canton of location of the Migration Headquarters and transport route, period 1997-2019

Yearly citation counts for the publication titled "Contributions of aircraft arrivals and departures to ultrafine particle counts near Los Angeles International Airport".

Tourism is officially recognized as a directly measurable activity, enabling more accurate analysis and more effective policy. Whereas previously the sector relied mostly on approximations from related areas of measurement (e.g. Balance of Payments statistics), tourism today possesses a range of instruments to track its productive activities and the activities of the consumers that drive them: visitors (both tourists and excursionists). An increasing number of countries have opened up and invested in tourism development, making tourism a key driver of socio-economic progress through export revenues, the creation of jobs and enterprises, and infrastructure development. As an internationally traded service, inbound tourism has become one of the world's major trade categories. For many developing countries it is one of the main sources of foreign exchange income and a major component of exports, creating much needed employment and development opportunities.

Data Source - WorldBank

Data Description -

International inbound tourists (overnight visitors) are the number of tourists who travel to a country other than that in which they usually reside, and outside their usual environment, for a period not exceeding 12 months and whose main purpose in visiting is other than an activity remunerated from within the country visited. When data on the number of tourists are not available, the number of visitors, which includes tourists, same-day visitors, cruise passengers, and crew members, is shown instead.

International outbound tourists are the number of departures that people make from their country of usual residence to any other country for any purpose other than a remunerated activity in the country visited. The data on outbound tourists refer to the number of departures, not to the number of people traveling. Thus a person who makes several trips from a country during a given period is counted each time as a new departure.

International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. These expenditures may include those by residents traveling abroad as same-day visitors, except in cases where these are important enough to justify separate classification. For some countries, they do not include expenditures for passenger transport items. Data are in current U.S. dollars.

The story behind this dataset is to collect weekly airport aviation activity using web scraping from flightaware.

Acknowledgements: Khalid the IA in the Data Science Immersive course by GA in Riyadh helped me. Thank you Khalid!

I would like to find a way to add a date column and then making a prediction model to help service companies at the airport coordinate their activities and working hours accordingly.

International travel and migration statistics produced by Stats NZ measure the number and characteristics of international arrivals into New Zealand, and international departures from New Zealand. This is obtained from electronic passport and flight records, along with details from arrival and departure cards for every passenger, supplied to Stats NZ by the New Zealand Customs Service.