Ciudad Autónoma de Buenos Aires
First-level unit, Argentina: people, area, the units inside and neighbours, with risk values when released.
Inside Ciudad Autónoma de Buenos Aires
The 27 ADM2 units of Ciudad Autónoma de Buenos Aires.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
6,528,076
15.3% of Argentina.
6,158,225
-6% against GHSL; the two grids differ in method.
948 km²
6,886 people per km².
AR-C
Subdivision code as carried by the boundary source.
1,220,695
people on land at or below 10 m, 18.7% of the unit (GEBCO 2024 and GHSL 2025).
27 units inside Ciudad Autónoma de Buenos Aires
Each unit has its own page.
Boundary licences: Creative Commons Attribution 2.5 Generic · Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)
| Unit | Code | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Avellaneda | – | 346,175 | 335,493 | 56.66 | 6,110 | 3.3% | 331,242 |
| Comuna 1 | – | 319,471 | 334,227 | 17.98 | 17,768 | 3.1% | 100,226 |
| Comuna 10 | – | 266,682 | 291,886 | 12.7 | 20,999 | 2.6% | 0 |
| Comuna 11 | – | 211,671 | 221,447 | 14.1 | 15,012 | 2% | 0 |
| Comuna 12 | – | 349,874 | 419,130 | 15.74 | 22,228 | 3.3% | 0 |
| Comuna 13 | – | 225,182 | 246,463 | 15 | 15,012 | 2.2% | 0 |
| Comuna 14 | – | 382,940 | 419,130 | 15.77 | 24,283 | 3.7% | 85,598 |
| Comuna 15 | – | 193,942 | 232,332 | 14.14 | 13,716 | 1.9% | 0 |
| Comuna 2 | – | 141,811 | 148,361 | 6.25 | 22,690 | 1.4% | 34,479 |
| Comuna 3 | – | 134,056 | 160,591 | 6.51 | 20,592 | 1.3% | 0 |
| Comuna 4 | – | 285,970 | 299,178 | 22.82 | 12,532 | 2.7% | 0 |
| Comuna 5 | – | 524,967 | 628,878 | 6.54 | 80,270 | 5% | 51,467 |
| Comuna 6 | – | 140,851 | 168,731 | 6.84 | 20,592 | 1.3% | 0 |
| Comuna 7 | – | 382,709 | 400,385 | 12.33 | 31,039 | 3.7% | 0 |
| Comuna 8 | – | 232,757 | 243,507 | 22.64 | 10,281 | 2.2% | 60,243 |
| Comuna 9 | – | 246,649 | 258,041 | 16.43 | 15,012 | 2.4% | 0 |
| General San Martín | – | 652,127 | 659,578 | 56.54 | 11,534 | 6.2% | 68,422 |
| Hurlingham | – | 162,286 | 141,725 | 35.68 | 4,548 | 1.6% | 0 |
| Ituzaingó | – | 277,767 | 268,433 | 38.09 | 7,292 | 2.7% | 0 |
| La Matanza | – | 1,909,289 | 1,586,875 | 326.87 | 5,841 | 18.3% | 164,480 |
| Lanús | – | 467,259 | 435,004 | 51.14 | 9,137 | 4.5% | 326,962 |
| Lomas de Zamora | – | 789,460 | 804,624 | 87.42 | 9,031 | 7.6% | 340,970 |
| Morón | – | 479,340 | 449,203 | 55.38 | 8,655 | 4.6% | 0 |
| San Isidro | – | 317,979 | 277,693 | 52.66 | 6,038 | 3% | 112,480 |
| San Miguel | – | 502,340 | 531,472 | 82.5 | 6,089 | 4.8% | 32,992 |
| Tres de Febrero | – | 129,564 | 113,149 | 45.61 | 2,841 | 1.2% | 52,842 |
| Vicente López | – | 380,699 | 398,283 | 34.51 | 11,032 | 3.6% | 37,210 |
Open exposure layers
Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.
- Urban areas
- None at this resolution
- Hawens
- None at this resolution
- Lughawens
- None at this resolution
- Major roads
- None at this resolution
- Spoorweë
- None at this resolution
- Rivers and lakes
- None at this resolution
Risk values
Neighbouring units
- AR-BBuenos Aires
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen ARG ADM1, source: geoBoundaries, Wikimedia, licence: Creative Commons Attribution 2.5 Generic · source · represents 2006
- ADM2 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen ARG ADM2, source: Instituto Geografico Nacional and UNHCR, OCHA ROLAC, licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · source · represents 2020
- Basemap
- OpenFreeMap © OpenMapTiles (CC BY 4.0) · data © OpenStreetMap contributors (ODbL 1.0). Vector tiles requested by the reader’s browser, unmodified; the map falls back to plain land and sea when the host does not answer.
- Terrain
- Terrain Tiles (Mapzen, AWS Open Data), compiled from SRTM and other public elevation sources (NASA, USGS, ETOPO1, GMTED, EU-DEM under the Copernicus programme, Geoscience Australia, Kartverket, INEGI, LINZ, data.gov.uk). Display relief, not survey data.
- People
- GHSL 2025 population grid, European Commission Joint Research Centre (CC BY 4.0), shown at 0.05° and summed per unit; WorldPop 2025 (CC BY 4.0) as a second estimate. Units smaller than a grid cell take the density of the cell under them.
- Lande
- Natural Earth (public domain).
- Elevation
- GEBCO Compilation Group (2024) GEBCO 2024 Grid (public domain), reduced to 0.05°: the share of each cell’s land at or below 10 m, weighted by GHSL 2025 people for the low coastal zone.
- Position
- Boundaries are shown for location only and take no position on any boundary, name or status.
Status
The methodology, structure and definitions of The Global Risks Index are a preparatory working draft (2026), circulated for review and comment and not for implementation. No value appears until an edition is released from a governed evidence cut; values then carry intervals, classes, sources and their correction pathway. Simulators run the published methods on numbers you choose and never show a NXS-GRX value.
A country profile reads public evidence about a place. It is not a statement by or about the policy of any government, takes no position on the status of any territory, and does not imply a national programme or participation. Names follow UN M49.
Wat NXS-GRX nie is nie
NXS-GRX is navorsings- en risiko-analise-inligting. Dit is nie 'n krediet- of ESG-gradering nie en gebruik geen graderingskaal nie, nie 'n maatstaf vir finansiële instrumente nie, nie amptelike statistiek nie, nie 'n noodwaarskuwing of amptelike klassifikasie nie, en nie advies nie. Dit mag nie gebruik word om natuurlike persone te evalueer nie. Risikoklasse is bande op 'n gepubliseerde skaal, nooit ranglyste van lande of mense nie.
Pulse-seine en vooruitskouwaarskynlikhede is inligting vir hersiening deur bevoegde owerhede, nooit openbare waarskuwings nie; amptelike waarskuwings kom slegs van gemandateerde owerhede.
Instellings en bronne
The Nexus Consortium is stewarded by three independent not-for-profit institutions: The Global Centre for Risk and Innovation (GCRI), through GCRI US in Washington, DC and GCRI Canada in Ontario, with GCRI Canada as Lead Institution, Consortium Secretariat and lead contracting organisation; The Global Risks Forum (GRF); and The Global Risks Alliance (GRA). Technology, infrastructure and service providers work with the Consortium at arm’s length under written agreements, like every other external party in the public-private-planet model, and hold no role in its stewardship.
Every value carries the attribution of its sources, which keep their own licences. External names are cited for interoperability only. Nexus-authored text is intended for CC BY 4.0 on release.
Avis en français
La méthodologie et les définitions du NXS-GRX sont un projet de travail préparatoire (2026). Le NXS-GRX est une information de recherche et d’analyse des risques : ni notation, ni indice de référence financier, ni statistique officielle, ni alerte, ni conseil. Les classes de risque sont des bandes sur une échelle publiée, non des classements.