Global aviation panel (passengers, departures, freight)
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Value-added panel of the World Bank's World Development Indicators (keyless API v2, CC BY 4.0; ICAO Civil Aviation Statistics): air passengers carried, registered carrier departures and air freight for 186 economies, 1970-2023, with a passengers-per-departure utilization proxy, trailing 1-year and 10-year changes (the COVID collapse/recovery lens) and within-year traffic ranks. Carrier-registration methodology: traffic is attributed to the airline's registration country, not the airport. Joins on economy_code with the catalog's other World Bank panels.
Les titres et les descriptions proviennent des sources de données, en anglais.
- Lignes
- 7 949
- Colonnes
- 19
- Cadence de la source
- Annuelle
- Dernière actualisation
- 8 oct. 2026
- Thème
- transport
| Colonne | Type | Description |
|---|---|---|
| economy_code | string | ISO 3166-1 alpha-3 economy code (World Bank API field countryiso3code). |
| economy_name | string | Economy name as published by the World Bank API. |
| region | string | World Bank region (API field region.value). |
| income_group | string | World Bank income group (API field incomeLevel.value). |
| year | integer | Reference year (1970-2023). |
| passengers | float | Air transport passengers carried (WDI indicator IS.AIR.PSGR, ICAO Civil Aviation Statistics). Carrier-registration methodology: passengers carried by airlines registered in the country, regardless of origin or destination. (unit: passengers) |
| departures | float | Air transport registered carrier departures worldwide (WDI indicator IS.AIR.DPRT, ICAO). Domestic take-offs and take-offs abroad of air carriers registered in the country. (unit: departures) |
| freight_mtkm | float | Air transport freight (WDI indicator IS.AIR.GOOD.MT.K1, ICAO): the volume of freight, express and diplomatic bags carried on each flight stage, measured in ton-km. (unit: million ton-km) |
| pax_per_departure | float | Passengers per departure = passengers / departures (connector-derived fleet-utilization proxy, informational). Null when either input is null or departures is zero. (unit: passengers per departure) |
| pax_change_1y_pct | float | Trailing 1-year percent change of passengers (the COVID collapse/recovery lens); null when the base year is absent or zero. (unit: %) |
| departures_change_1y_pct | float | Trailing 1-year percent change of departures; null when the base year is absent or zero. (unit: %) |
| freight_change_1y_pct | float | Trailing 1-year percent change of air freight; null when the base year is absent or zero. (unit: %) |
| pax_change_10y_pct | float | Trailing 10-year percent change of passengers (the structural growth lens); null when the base year is absent or zero. (unit: %) |
| departures_change_10y_pct | float | Trailing 10-year percent change of departures; null when the base year is absent or zero. (unit: %) |
| freight_change_10y_pct | float | Trailing 10-year percent change of air freight; null when the base year is absent or zero. (unit: %) |
| pax_rank | integer | Rank of passengers within the year (1 = most passengers); null where passengers is null. (unit: rank) |
| departures_rank | integer | Rank of departures within the year (1 = most departures); null where departures is null. (unit: rank) |
| freight_rank | integer | Rank of freight_mtkm within the year (1 = most freight); null where freight_mtkm is null. (unit: rank) |
| row_hash | string | Deterministic 12-hex row identity hash (economy_code|year). |
10 premières lignes d’exemple — un aperçu, pas le jeu de données complet.
| economy_code | economy_name | region | income_group | year | passengers | departures | freight_mtkm | pax_per_departure | pax_change_1y_pct | departures_change_1y_pct | freight_change_1y_pct | pax_change_10y_pct | departures_change_10y_pct | freight_change_10y_pct | pax_rank | departures_rank | freight_rank | row_hash |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ABW | Aruba | Latin America & Caribbean | High income | 2 017 | 223 502 | 2 132 | — | 104,832 | — | — | — | — | — | — | 134 | 141 | — | 5bccfd097be4 |
| ABW | Aruba | Latin America & Caribbean | High income | 2 018 | 274 280 | 2 276 | — | 120,51 | 22,719 | 6,754 | — | — | — | — | 133 | 143 | — | 7eaf77908500 |
| AFG | Afghanistan | Middle East, North Africa, Afghanistan & Pakistan | Low income | 1 970 | 84 700 | 4 000 | 7,6 | 21,175 | — | — | — | — | — | — | 94 | 94 | 53 | e46415eeb918 |
| AFG | Afghanistan | Middle East, North Africa, Afghanistan & Pakistan | Low income | 1 971 | 97 400 | 4 700 | 2,1 | 20,723 | 14,994 | 17,5 | -72,368 | — | — | — | 94 | 86 | 90 | 5f80a37e313f |
| AFG | Afghanistan | Middle East, North Africa, Afghanistan & Pakistan | Low income | 1 972 | 104 900 | 4 800 | 0,8 | 21,854 | 7,7 | 2,128 | -61,905 | — | — | — | 91 | 84 | 101 | 84935b318a87 |
| AFG | Afghanistan | Middle East, North Africa, Afghanistan & Pakistan | Low income | 1 973 | 96 600 | 3 700 | 1,1 | 26,108 | -7,912 | -22,917 | 37,5 | — | — | — | 92 | 98 | 100 | c76222d74502 |
| AFG | Afghanistan | Middle East, North Africa, Afghanistan & Pakistan | Low income | 1 974 | 96 100 | 4 300 | 13,3 | 22,349 | -0,518 | 16,216 | 1 109,091 | — | — | — | 97 | 91 | 52 | fa8cd9f8ead1 |
| AFG | Afghanistan | Middle East, North Africa, Afghanistan & Pakistan | Low income | 1 975 | 99 000 | 4 700 | 10,5 | 21,064 | 3,018 | 9,302 | -21,053 | — | — | — | 101 | 91 | 67 | 776a6a97716f |
| AFG | Afghanistan | Middle East, North Africa, Afghanistan & Pakistan | Low income | 1 976 | 101 700 | 4 500 | 12,9 | 22,6 | 2,727 | -4,255 | 22,857 | — | — | — | 102 | 96 | 69 | d9e71c2bbeed |
| AFG | Afghanistan | Middle East, North Africa, Afghanistan & Pakistan | Low income | 1 977 | 111 200 | 4 900 | 13,9 | 22,694 | 9,341 | 8,889 | 7,752 | — | — | — | 102 | 98 | 62 | 13d0a4d19d07 |
Profilé le 9 oct. 2026 à partir de l’instantané 20261008T122622Z-7c3e2c59c572
Mesuré- Complétude
- 94 %
- Lignes
- 7 949
- Colonnes
- 19
- Colonnes incomplètes
- 13
19702023
| Colonne | Manquant | Distinctes | Plage | Distribution |
|---|---|---|---|---|
| economy_codevarchar | 0 % | 232 | — |
|
| economy_namevarchar | 0 % | 207 | — |
|
| regionvarchar | 0 % | 6 | — |
|
| income_groupvarchar | 0 % | 4 | — |
|
| yearbigint | 0 % | 50 | 1 970 → 2 023médiane 1 998 | |
| passengersdouble | 0,25 % | 5 863 | 0 → 941 557 000médiane 904 242 | 160 hors du 1er–99e centile |
| departuresdouble | 0,29 % | 4 524 | 0 → 10 099 031médiane 16 200 | 160 hors du 1er–99e centile |
| freight_mtkmdouble | 5,5 % | 4 812 | 0 → 46 005médiane 21,4 | 76 hors du 1er–99e centile |
| pax_per_departuredouble | 0,68 % | 6 293 | 0 → 591,18médiane 57,07 | 158 hors du 1er–99e centile |
| pax_change_1y_pctdouble | 3,8 % | 7 668 | -100 → 112 802médiane 5,14 | 154 hors du 1er–99e centile |
| departures_change_1y_pctdouble | 3,6 % | 5 837 | -100 → 18 455médiane 2,45 | 154 hors du 1er–99e centile |
| freight_change_1y_pctdouble | 10,7 % | 5 274 | -100 → 1 264 705médiane 3,79 | 142 hors du 1er–99e centile |
| pax_change_10y_pctdouble | 25,9 % | 4 955 | -100 → 325 781médiane 52,61 | 118 hors du 1er–99e centile |
| departures_change_10y_pctdouble | 25,9 % | 5 011 | -100 → 4 332médiane 23,68 | 118 hors du 1er–99e centile |
| freight_change_10y_pctdouble | 31,6 % | 5 438 | -100 → 1 297 290médiane 40,06 | 55 hors du 1er–99e centile |
| pax_rankbigint | 0,25 % | 170 | 1 → 164médiane 74 | 133 hors du 1er–99e centile |
| departures_rankbigint | 0,29 % | 170 | 1 → 165médiane 74 | 129 hors du 1er–99e centile |
| freight_rankbigint | 5,5 % | 158 | 1 → 153médiane 70 | 102 hors du 1er–99e centile |
| row_hashvarchar | 0 % | 7 640 | — |
|
- ActuelleFichier publié
20261008T122622Z-7c3e2c59c572 · sha256 7c3e2c59c572…
7 949 lignes · premier instantané
Dirigez n’importe quel LLM vers le point d’accès des métadonnées — la documentation ci-dessus est aussi lisible par machine (JSON-LD + Croissant).
cURL
curl "https://datazimuts.com/v1/datasets/wb_aviation_intel/aviation_panel" | jq '{title, rows, columns_count, license}'Python
import requests
ds = requests.get("https://datazimuts.com/v1/datasets/wb_aviation_intel/aviation_panel").json()
print(ds["title"], ds["rows"], "rows")
# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
print(row)Point d’accès API : https://datazimuts.com/v1/datasets/wb_aviation_intel/aviation_panel
Astuce : récupérez /llms.txt pour le catalogue complet lisible par machine.
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Épinglé à l’instantané 20261008T122622Z-7c3e2c59c572 et à son empreinte, pour que vos lecteurs obtiennent exactement les données utilisées.
APA
World Bank aviation intelligence. (2026). Global aviation panel (passengers, departures, freight) [Data set, snapshot 20261008T122622Z-7c3e2c59c572, sha256 7c3e2c59c572]. Datazimuts. Retrieved 2026-10-09, from https://datazimuts.com/fr/datasets/wb_aviation_intel/aviation_panel?snapshot=20261008T122622Z-7c3e2c59c572
BibTeX
@misc{dz_wb_aviation_intel_aviation_panel_7c3e2c59,
title = {{Global aviation panel (passengers, departures, freight)}},
author = {{World Bank aviation intelligence}},
year = {2026},
publisher = {Datazimuts},
howpublished = {\url{https://datazimuts.com/fr/datasets/wb_aviation_intel/aviation_panel?snapshot=20261008T122622Z-7c3e2c59c572}},
note = {Snapshot 20261008T122622Z-7c3e2c59c572, sha256 7c3e2c59c572ded06b6d7d42a634515f5d7dca63ac52f66bf51a3ab1a94ae223; accessed 2026-10-09}
}Intégrer un tableau ou un graphique
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HTML
<iframe src="https://datazimuts.com/embed/chart?dataset=wb_aviation_intel%2Faviation_panel&lang=fr&theme=auto&snapshot=20261008T122622Z-7c3e2c59c572&x=year&y=year&agg=avg" title="Global aviation panel (passengers, departures, freight)" width="100%" height="380" style="border:0" loading="lazy"></iframe>
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