Cauca
First-level unit, Colombia: people, area, the units inside and neighbours, with risk values when released.
Inside Cauca
The 42 ADM2 units of Cauca.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
1,381,552
2.7% of Colombia.
1,437,211
+4% against GHSL; the two grids differ in method.
31,198 km²
44 people per km².
CO-CAU
Subdivision code as carried by the boundary source.
19,098
people on land at or below 10 m, 1.4% of the unit (GEBCO 2024 and GHSL 2025).
Cauca 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.
1,552,125
people. UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).
3,036,599
humanitarian need. OCHA Humanitarian Programme Cycle Tools (HPC Tools) · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).
42 units inside Cauca
Each unit has its own page.
Boundary licences: Open Data Commons Open Database License 1.0 · Creative Commons Attribution 4.0 International (CC BY 4.0)
| Unit | Code | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Almaguer | – | 22,822 | 20,772 | 237.45 | 96 | 1.7% | 0 |
| Argelia | – | 16,116 | 14,394 | 776.72 | 21 | 1.2% | 0 |
| Balboa | – | 23,973 | 15,422 | 413.68 | 58 | 1.7% | 0 |
| Bolívar | – | 31,116 | 25,167 | 798.97 | 39 | 2.3% | 0 |
| Buenos Aires | – | 55,622 | 38,383 | 435.89 | 128 | 4% | 0 |
| Cajibío | – | 63,976 | 54,147 | 553.52 | 116 | 4.6% | 0 |
| Caldono | – | 24,067 | 42,911 | 355.3 | 68 | 1.7% | 0 |
| Caloto | – | 9,954 | 16,855 | 266.83 | 37 | 0.7% | 0 |
| Corinto | – | 36,956 | 27,891 | 326.91 | 113 | 2.7% | 0 |
| El Tambo | – | 54,742 | 39,352 | 2,744.93 | 20 | 4% | 0 |
| Florencia | – | 9,133 | 12,880 | 56.81 | 161 | 0.7% | 0 |
| Guachené | – | 17,384 | 34,585 | 99.19 | 175 | 1.3% | 0 |
| Guapi | – | 27,500 | 20,148 | 2,568.97 | 11 | 2% | 17,282 |
| Inza | – | 32,084 | 37,540 | 869.33 | 37 | 2.3% | 0 |
| Jambaló | – | 21,776 | 22,438 | 235.27 | 93 | 1.6% | 0 |
| La Sierra | – | 11,739 | 13,699 | 208.56 | 56 | 0.9% | 0 |
| La Vega | – | 59,403 | 12,484 | 517.01 | 115 | 4.3% | 0 |
| López | – | 15,137 | 15,306 | 3,372.16 | 4 | 1.1% | 155 |
| Mercaderes | – | 15,204 | 12,680 | 698.93 | 22 | 1.1% | 0 |
| Miranda | – | 29,227 | 15,402 | 190.24 | 154 | 2.1% | 0 |
| Morales | – | 20,324 | 36,016 | 512.7 | 40 | 1.5% | 0 |
| Padilla | – | 4,933 | 14,121 | 69.95 | 71 | 0.4% | 0 |
| Páez | – | 25,209 | 42,993 | 1,799.09 | 14 | 1.8% | 0 |
| Patía | – | 34,816 | 23,319 | 756.54 | 46 | 2.5% | 0 |
| Piamonte | – | 14,156 | 14,810 | 1,107.82 | 13 | 1% | 0 |
| Piendamó | – | 25,122 | 32,011 | 181.87 | 138 | 1.8% | 0 |
| Popayán | – | 328,985 | 327,728 | 480.78 | 684 | 23.9% | 0 |
| Puerto Tejada | – | 45,711 | 55,505 | 109.36 | 418 | 3.3% | 0 |
| Puracé (Coconuco) | – | 17,617 | 10,448 | 850.78 | 21 | 1.3% | 0 |
| Rosas | – | 12,931 | 11,243 | 169.55 | 76 | 0.9% | 0 |
| San Sebastian | – | 13,616 | 10,501 | 420.34 | 32 | 1% | 0 |
| Santa Rosa | – | 10,548 | 3,051 | 3,628.77 | 3 | 0.8% | 0 |
| Santander De Quilichao | – | 94,197 | 123,925 | 519.65 | 181 | 6.8% | 0 |
| Silvia | – | 26,633 | 40,607 | 682.9 | 39 | 1.9% | 0 |
| Sotará (Paispamba) | – | 12,557 | 7,663 | 517.88 | 24 | 0.9% | 0 |
| Suárez | – | 5,104 | 13,682 | 393.26 | 13 | 0.4% | 0 |
| Sucre | – | 5,245 | 7,198 | 136.33 | 38 | 0.4% | 0 |
| Timbío | – | 33,553 | 48,797 | 201.91 | 166 | 2.4% | 0 |
| Timbiquí | – | 12,371 | 26,478 | 2,059.86 | 6 | 0.9% | 1,481 |
| Toribío | – | 29,565 | 35,096 | 493.94 | 60 | 2.1% | 0 |
| Totoró | – | 17,187 | 32,713 | 405.82 | 42 | 1.2% | 0 |
| Villa Rica | – | 11,038 | 22,494 | 82.03 | 135 | 0.8% | 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
- 217.5 H3 cells
- Bandari
- None at this resolution
- Viwanja vya ndege
- 1 H3 cells
- Major roads
- 693.4 H3 cells
- Reli
- 283.3 H3 cells
- Rivers and lakes
- 288.7 H3 cells
Risk values
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen COL 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 COL ADM2, source: Departamento Administrativo Nacional de Estadistica, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · 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.
- Nchi
- 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.
Hali
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Taasisi na vyanzo
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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.