Canelones
First-level unit, Uruguay: people, area, the units inside and neighbours, with risk values when released.
Inside Canelones
The 30 ADM2 units of Canelones.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
497,593
16.4% of Uruguay.
515,476
+4% against GHSL; the two grids differ in method.
4,525 km²
110 people per km².
UY-CA
Subdivision code as carried by the boundary source.
63,502
people on land at or below 10 m, 12.8% of the unit (GEBCO 2024 and GHSL 2025).
Canelones in humanitarian data
Source observations from the Humanitarian Data Exchange, matched to this unit by name, each with its reference date, provider and licence. They are not index values.
625,697
people. UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).
30 units inside Canelones
Each unit has its own page.
Boundary licences: Open Data Commons Open Database License 1.0 · Creative Commons Attribution-ShareAlike 3.0 Unported.
| Unit | Ikhowudi | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| 18 de Mayo | – | 9,532 | 9,973 | 9.12 | 1,045 | 1.8% | 0 |
| Aguas Corrientes | – | 2,155 | 2,400 | 50.91 | 42 | 0.4% | 486 |
| Atlántida | – | 7,844 | 7,002 | 115.23 | 68 | 1.5% | 2,594 |
| Barros Blancos | – | 61,426 | 65,389 | 22.96 | 2,675 | 11.6% | 4,492 |
| Canelones | – | 29,825 | 32,694 | 230.99 | 129 | 5.6% | 354 |
| Ciudad de la Costa | – | 65,532 | 64,001 | 62.21 | 1,053 | 12.4% | 20,829 |
| Empalme Olmos | – | 6,613 | 6,817 | 116.94 | 57 | 1.3% | 20 |
| La Floresta | – | 3,023 | 2,888 | 53.21 | 57 | 0.6% | 166 |
| La Paz | – | 1,007 | 1,007 | 38.86 | 26 | 0.2% | 20 |
| Las Piedras | – | 68,725 | 75,222 | 48.96 | 1,404 | 13% | 0 |
| Los Cerrillos | – | 8,225 | 9,063 | 264.23 | 31 | 1.6% | 907 |
| Migues | – | 4,534 | 4,801 | 369.65 | 12 | 0.9% | 0 |
| Montes | – | 2,188 | 1,925 | 53.62 | 41 | 0.4% | 0 |
| Nicolich | – | 16,228 | 15,511 | 24.4 | 665 | 3.1% | 0 |
| Pando | – | 18,261 | 19,839 | 114.37 | 160 | 3.5% | 1,035 |
| Parque del Plata | – | 5,107 | 4,881 | 12.07 | 423 | 1% | 0 |
| Paso Carrasco | – | 42,305 | 40,435 | 23.42 | 1,806 | 8% | 15,862 |
| Progreso | – | 31,558 | 33,175 | 85.25 | 370 | 6% | 68 |
| Salinas | – | 34,503 | 32,516 | 76.3 | 452 | 6.5% | 7,905 |
| San Antonio | – | 3,502 | 3,708 | 170.19 | 21 | 0.7% | 0 |
| San Bautista | – | 4,881 | 5,305 | 192.38 | 25 | 0.9% | 0 |
| San Jacinto | – | 7,052 | 8,016 | 313.59 | 22 | 1.3% | 0 |
| San Ramon | – | 7,399 | 7,417 | 228.48 | 32 | 1.4% | 0 |
| Santa Lucía | – | 21,193 | 22,769 | 248.35 | 85 | 4% | 6,803 |
| Santa Rosa | – | 6,824 | 7,608 | 197.87 | 34 | 1.3% | 0 |
| Sauce | – | 14,370 | 15,487 | 301.32 | 48 | 2.7% | 0 |
| Soca | – | 8,684 | 8,105 | 497.3 | 17 | 1.6% | 1,278 |
| Suárez | – | 11,272 | 11,793 | 43.93 | 257 | 2.1% | 0 |
| Tala | – | 10,560 | 11,307 | 528.94 | 20 | 2% | 0 |
| Toledo | – | 14,133 | 14,786 | 30.19 | 468 | 2.7% | 0 |
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
- Ports
- None at this resolution
- Airports
- None at this resolution
- Major roads
- None at this resolution
- Railways
- None at this resolution
- Rivers and lakes
- None at this resolution
Risk values
Neighbouring units
- UY-MOMontevideo
- UY-MAMaldonado
- UY-LALavalleja
- UY-FDFlorida
- UY-SJSan José
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen URY ADM1, source: OpenStreetMap, Wambacher © OpenStreetMap contributors, licence: Open Data Commons Open Database License 1.0 (share-alike: this boundary layer is offered under the same licence) · source · represents 2017. Offered under the same licence (Open Data Commons Open Database License 1.0), kept as its own layer and not merged into other data.
- ADM2 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen URY ADM2, source: geoBoundaries, Wikimedia Commons, licence: Creative Commons Attribution-ShareAlike 3.0 Unported (share-alike: this boundary layer is offered under the same licence) · source · represents 2013. Offered under the same licence (Creative Commons Attribution-ShareAlike 3.0 Unported), kept as its own layer and not merged into other data.
- 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.
- Amazwe
- 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.
Imeko
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.
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NXS-GRX is research and risk-analytics information. It is not a credit or ESG rating and uses no rating scale, not a benchmark for financial instruments, not official statistics, not an emergency warning or official classification, and not advice. It must not be used to evaluate natural persons. Risk classes are bands on a published scale, never rankings of countries or people.
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Institutions and sources
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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.