User:Telegram Sam/Aerodrome Characteristics and Statistics
Introduction
Explanation
This is an observational study of airports in 5 countries based on official airport charts and statistical data.
- Brazil, France, Malaysia, USA and South Africa were chosen due to their large size, variety of operations and publically available data.
- Airport physical data is the most current from the AIPs, while statistical data is from official sources for the year 2024, except for Brazil which is from 2018. Numbers for 2024 and 2018 should be within 10% of each other.
- Only airports present both in the statistical datasets and AIPs are included.
- Due to their size, the full lists of airports are saved in their own pages.
Column Names
Some column names do not obviously convey their meaning. Here are some explanations:
| ARFF | ICAO Rescue and Fire Fighting category for that aerodrome.
If it can be upgraded, the permanent and upgraded values are shown. |
|---|---|
| ATC Sts | Number of controlled ATC stations, that is, the number of instances of GND, TWR, APP, APN, DLV or ATIS stations.
If there are none, AFIS replaces the number if there is an advisory frequency and None if there is not. |
| INS Stands | Number of stands with published INS coordinates.
Secondary -A, -B etc. stands are not counted. |
| Best APPs | Best approach type for each side of the best runway.
In order, the possible values are: Visual, NDB, VOR, RNP, ILS |
| Wiki Dests | Number of unique destinations on the aerodrome's Wikipedia page, using a version closer to the end of the statistical data.
Although probably innacurate, magnitude differences should still be useful. |
Brazil
Infraero Anuário Estatístico Operacional 2018
Only aerodromes run by Infraero in 2018 are included.
Conclusions
| Proposed Class | ARFF | ATC | Stands | Paved RWYs | Best RWY Best APPs | Best RWY (m) | Passengers | Movements | Destinations and Range |
|---|---|---|---|---|---|---|---|---|---|
| AAAA | NIL | NONE | 0 | 9 | LORAN | 9999 | 12345 | 123 | MOON |
Full List
User:Telegram Sam/Aerodrome Characteristics and Statistics/Brazil
France
Résultats d’activité des aéroports français 2024
Conclusions
| Proposed Class | ARFF | ATC | Stands | Paved RWYs | Best RWY Best APPs | Best RWY (m) | Passengers | Movements | Destinations and Range |
|---|---|---|---|---|---|---|---|---|---|
| AAAA | NIL | NONE | 0 | 9 | LORAN | 9999 | 12345 | 123 | MOON |
Full List
User:Telegram Sam/Aerodrome Characteristics and Statistics/France
Malaysia
Transport Statistics Malaysia 2024
Only aerodromes with individualized statistics are included.
Conclusions
| Proposed Class | ARFF | ATC | Stands | Paved RWYs | Best RWY Best APPs | Best RWY (m) | Passengers | Movements | Destinations and Range |
|---|---|---|---|---|---|---|---|---|---|
| AAAA | NIL | NONE | 0 | 9 | LORAN | 9999 | 12345 | 123 | MOON |
Full List
User:Telegram Sam/Aerodrome Characteristics and Statistics/Malaysia
South Africa
Only airports run by ACSA are included.
Statistics are for the fiscal year 2024/2025.
Conclusions
| Proposed Class | ARFF | ATC | Stands | Paved RWYs | Best RWY Best APPs | Best RWY (m) | Passengers | Movements | Destinations and Range |
|---|---|---|---|---|---|---|---|---|---|
| AAAA | NIL | NONE | 0 | 9 | LORAN | 9999 | 12345 | 123 | MOON |
Full List
User:Telegram Sam/Aerodrome Characteristics and Statistics/South Africa
United States
United States AIS Airport Data
Only aerodromes present in OPSNET are included.
Enplanements are multiplied by 2 thus getting a rough figure for total passengers movements.
Conclusions
| Proposed Class | ARFF | ATC | Stands | Paved RWYs | Best RWY Best APPs | Best RWY (m) | Passengers | Movements | Destinations and Range |
|---|---|---|---|---|---|---|---|---|---|
| AAAA | NIL | NONE | 0 | 9 | LORAN | 9999 | 12345 | 123 | MOON |
Full List
User:Telegram Sam/Aerodrome Characteristics and Statistics/United States