Cundinamarca
First-level unit, Colombia: people, area, the units inside and neighbours, with risk values when released.
Inside Cundinamarca
The 116 ADM2 units of Cundinamarca.
Población, superficie y densidad
Observaciones de fuente a partir de mallas abiertas sumadas dentro del límite; no son valores del índice.
3,462,988
6.7% of Colombia.
4,432,920
+28% against GHSL; the two grids differ in method.
22,475 km²
154 people per km².
CO-CUN
Código de subdivisión tal como lo da la fuente de límites.
Cundinamarca in humanitarian data
Observaciones de fuente del Humanitarian Data Exchange, asociadas a esta unidad por su nombre, cada una con su fecha de referencia, proveedor y licencia. No son valores del índice.
3,760,874
personas. UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).
2,421,222
humanitarian need. OCHA Humanitarian Programme Cycle Tools (HPC Tools) · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).
116 units inside Cundinamarca
Cada unidad tiene su propia página.
Boundary licences: Open Data Commons Open Database License 1.0 · Creative Commons Attribution 4.0 International (CC BY 4.0)
| Unidad | Código | Habitantes (GHSL) | Habitantes (WorldPop) | Superficie km² | Por km² | Proporción | Costa ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Agua De Dios | – | 11,058 | 12,021 | 85.97 | 129 | 0.3% | 0 |
| Albán | – | 4,543 | 5,488 | 51.17 | 89 | 0.1% | 0 |
| Anapoima | – | 13,729 | 14,672 | 124.39 | 110 | 0.4% | 0 |
| Anolaima | – | 9,914 | 11,481 | 121.34 | 82 | 0.3% | 0 |
| Apulo | – | 7,027 | 8,571 | 122.5 | 57 | 0.2% | 0 |
| Arbeláez | – | 7,345 | 10,641 | 142.91 | 51 | 0.2% | 0 |
| Beltrán | – | 1,326 | 1,846 | 177.11 | 7 | 0% | 0 |
| Bituima | – | 1,538 | 2,119 | 61.03 | 25 | 0% | 0 |
| Bojacá | – | 23,281 | 11,476 | 102.89 | 226 | 0.7% | 0 |
| Cabrera | – | 3,628 | 3,992 | 423.6 | 9 | 0.1% | 0 |
| Cachipay | – | 9,470 | 14,099 | 53.56 | 177 | 0.3% | 0 |
| Cajicá | – | 42,308 | 114,285 | 51.49 | 822 | 1.2% | 0 |
| Caparrapi | – | 10,884 | 6,333 | 618.6 | 18 | 0.3% | 0 |
| Cáqueza | – | 12,957 | 19,098 | 111.95 | 116 | 0.4% | 0 |
| Carmen De Carupa | – | 6,681 | 6,911 | 299.66 | 22 | 0.2% | 0 |
| Chaguaní | – | 2,377 | 4,711 | 172.65 | 14 | 0.1% | 0 |
| Chia | – | 238,764 | 167,163 | 80.62 | 2,962 | 6.9% | 0 |
| Chipaque | – | 15,478 | 32,174 | 151.18 | 102 | 0.4% | 0 |
| Choachí | – | 8,526 | 11,653 | 213.54 | 40 | 0.2% | 0 |
| Chocontá | – | 23,173 | 23,405 | 301.97 | 77 | 0.7% | 0 |
| Cogua | – | 18,864 | 22,476 | 133.44 | 141 | 0.5% | 0 |
| Cota | – | 83,327 | 235,436 | 53.95 | 1,545 | 2.4% | 0 |
| Cucunubá | – | 3,927 | 6,937 | 110.3 | 36 | 0.1% | 0 |
| El Colegio | – | 17,936 | 25,343 | 118.98 | 151 | 0.5% | 0 |
| El Peñon | – | 2,054 | 3,461 | 134.68 | 15 | 0.1% | 0 |
| El Rosal | – | 12,377 | 27,000 | 87.48 | 141 | 0.4% | 0 |
| Facatativá | – | 155,315 | 187,096 | 158.63 | 979 | 4.5% | 0 |
| Fómeque | – | 6,007 | 10,085 | 462.48 | 13 | 0.2% | 0 |
| Fosca | – | 5,146 | 5,641 | 111.64 | 46 | 0.1% | 0 |
| Funza | – | 38,990 | 23,801 | 68.27 | 571 | 1.1% | 0 |
| Fuquene | – | 4,897 | 6,717 | 77.81 | 63 | 0.1% | 0 |
| Fusagasugá | – | 127,477 | 166,970 | 194.82 | 654 | 3.7% | 0 |
| Gachalá | – | 4,613 | 3,058 | 386.76 | 12 | 0.1% | 0 |
| Gachancipá | – | 22,340 | 26,751 | 43.23 | 517 | 0.6% | 0 |
| Gachetá | – | 10,288 | 7,392 | 260.14 | 40 | 0.3% | 0 |
| Gama | – | 3,385 | 5,769 | 108.03 | 31 | 0.1% | 0 |
| Girardot | – | 37,453 | 38,298 | 130.79 | 286 | 1.1% | 0 |
| Granada | – | 7,957 | 8,169 | 60.89 | 131 | 0.2% | 0 |
| Guachetá | – | 7,522 | 13,180 | 170.72 | 44 | 0.2% | 0 |
| Guaduas | – | 48,972 | 30,668 | 767.11 | 64 | 1.4% | 0 |
| Guasca | – | 12,642 | 16,509 | 362.45 | 35 | 0.4% | 0 |
| Guataquí | – | 1,611 | 1,170 | 91.47 | 18 | 0% | 0 |
| Guatavita | – | 12,968 | 6,766 | 253.26 | 51 | 0.4% | 0 |
| Guayabal De Síquima | – | 2,220 | 3,348 | 62.31 | 36 | 0.1% | 0 |
| Guayabetal | – | 3,339 | 7,968 | 223.69 | 15 | 0.1% | 0 |
| Gutierrez | – | 2,784 | 2,926 | 455.08 | 6 | 0.1% | 0 |
| Jerusalén | – | 1,854 | 1,688 | 222.95 | 8 | 0.1% | 0 |
| Junín | – | 3,252 | 2,655 | 345.3 | 9 | 0.1% | 0 |
| La Calera | – | 22,352 | 50,917 | 327.94 | 68 | 0.6% | 0 |
| La Mesa | – | 31,409 | 27,658 | 148.89 | 211 | 0.9% | 0 |
| La Palma | – | 4,299 | 8,299 | 191.39 | 22 | 0.1% | 0 |
| La Peña | – | 6,725 | 4,035 | 129.03 | 52 | 0.2% | 0 |
| La Vega | – | 13,222 | 13,515 | 156.02 | 85 | 0.4% | 0 |
| Lenguazaque | – | 9,173 | 11,552 | 156.26 | 59 | 0.3% | 0 |
| Machetá | – | 5,003 | 5,391 | 230.02 | 22 | 0.1% | 0 |
| Madrid | – | 81,829 | 162,188 | 119.97 | 682 | 2.4% | 0 |
| Manta | – | 2,210 | 3,471 | 108.35 | 20 | 0.1% | 0 |
| Medina | – | 6,084 | 5,586 | 1,202.39 | 5 | 0.2% | 0 |
| Mosquera | – | 576,076 | 747,882 | 106.14 | 5,428 | 16.6% | 0 |
| Nariño | – | 3,284 | 4,769 | 55.24 | 59 | 0.1% | 0 |
| Nemocón | – | 13,142 | 16,591 | 98.81 | 133 | 0.4% | 0 |
| Nilo | – | 76,137 | 29,862 | 225.61 | 337 | 2.2% | 0 |
| Nimaima | – | 4,196 | 3,059 | 59.61 | 70 | 0.1% | 0 |
| Nocaima | – | 5,838 | 5,770 | 69.25 | 84 | 0.2% | 0 |
| Pacho | – | 22,176 | 21,901 | 404.04 | 55 | 0.6% | 0 |
| Paime | – | 3,062 | 2,654 | 174.29 | 18 | 0.1% | 0 |
| Pandi | – | 4,973 | 7,607 | 72.29 | 69 | 0.1% | 0 |
| Paratebueno | – | 6,679 | 10,579 | 888.79 | 8 | 0.2% | 0 |
| Pasca | – | 10,652 | 8,711 | 273.33 | 39 | 0.3% | 0 |
| Puerto Salgar | – | 7,013 | 8,304 | 518.36 | 14 | 0.2% | 0 |
| Pulí | – | 1,572 | 1,896 | 198.44 | 8 | 0% | 0 |
| Quebradanegra | – | 4,440 | 7,043 | 80.08 | 55 | 0.1% | 0 |
| Quetame | – | 6,111 | 4,895 | 138.55 | 44 | 0.2% | 0 |
| Quipile | – | 3,744 | 5,641 | 128.35 | 29 | 0.1% | 0 |
| Ricaurte | – | 51,540 | 49,631 | 128.98 | 400 | 1.5% | 0 |
| San Antonio Del Tequendama | – | 14,129 | 12,577 | 89.24 | 158 | 0.4% | 0 |
| San Bernardo | – | 3,681 | 9,204 | 247.7 | 15 | 0.1% | 0 |
| San Cayetano | – | 3,611 | 2,415 | 289.23 | 12 | 0.1% | 0 |
| San Francisco | – | 8,222 | 11,065 | 119.46 | 69 | 0.2% | 0 |
| San Juan De Rio Seco | – | 7,127 | 6,082 | 315.85 | 23 | 0.2% | 0 |
| Sasaima | – | 9,402 | 12,928 | 112.19 | 84 | 0.3% | 0 |
| Sesquilé | – | 74,107 | 10,406 | 141.79 | 523 | 2.1% | 0 |
| Sibaté | – | 45,992 | 42,810 | 122.4 | 376 | 1.3% | 0 |
| Silvania | – | 19,412 | 26,447 | 162.96 | 119 | 0.6% | 0 |
| Simijaca | – | 11,437 | 13,424 | 97.26 | 118 | 0.3% | 0 |
| Soacha | – | 569,970 | 1,042,906 | 188.38 | 3,026 | 16.4% | 0 |
| Sopo | – | 30,486 | 18,980 | 111.67 | 273 | 0.9% | 0 |
| Subachoque | – | 26,006 | 23,917 | 210.07 | 124 | 0.7% | 0 |
| Suesca | – | 64,046 | 23,710 | 173.59 | 369 | 1.8% | 0 |
| Supatá | – | 2,390 | 5,661 | 131 | 18 | 0.1% | 0 |
| Susa | – | 18,113 | 7,204 | 104.46 | 173 | 0.5% | 0 |
| Sutatausa | – | 4,615 | 10,737 | 64.99 | 71 | 0.1% | 0 |
| Tabio | – | 46,955 | 24,927 | 75.57 | 621 | 1.4% | 0 |
| Tausa | – | 6,540 | 6,809 | 202.99 | 32 | 0.2% | 0 |
| Tena | – | 8,594 | 14,137 | 51.53 | 167 | 0.2% | 0 |
| Tenjo | – | 32,445 | 64,767 | 114.61 | 283 | 0.9% | 0 |
| Tibacuy | – | 6,657 | 3,774 | 85.17 | 78 | 0.2% | 0 |
| Tibirita | – | 1,570 | 2,960 | 56.97 | 28 | 0% | 0 |
| Tocaima | – | 17,547 | 12,445 | 247.01 | 71 | 0.5% | 0 |
| Tocancipá | – | 66,548 | 78,966 | 73.27 | 908 | 1.9% | 0 |
| Topaipí | – | 1,104 | 2,543 | 144.15 | 8 | 0% | 0 |
| Ubalá | – | 7,929 | 6,363 | 524.4 | 15 | 0.2% | 0 |
| Ubaque | – | 5,100 | 12,346 | 107.31 | 48 | 0.1% | 0 |
| Ubate | – | 33,344 | 51,251 | 103.05 | 324 | 1% | 0 |
| Une | – | 12,298 | 16,121 | 210.06 | 59 | 0.4% | 0 |
| Útica | – | 3,702 | 3,721 | 92.47 | 40 | 0.1% | 0 |
| Venecia | – | 2,516 | 5,475 | 122.98 | 20 | 0.1% | 0 |
| Vergara | – | 2,505 | 4,926 | 145.33 | 17 | 0.1% | 0 |
| Vianí | – | 2,769 | 5,200 | 67.53 | 41 | 0.1% | 0 |
| Villa Gómez | – | 1,700 | 2,984 | 63.44 | 27 | 0% | 0 |
| Villapinzón | – | 15,245 | 14,928 | 226.86 | 67 | 0.4% | 0 |
| Villeta | – | 18,369 | 34,256 | 141.65 | 130 | 0.5% | 0 |
| Viotá | – | 7,788 | 12,614 | 202.62 | 38 | 0.2% | 0 |
| Yacopí | – | 9,540 | 6,330 | 960.86 | 10 | 0.3% | 0 |
| Zipacón | – | 4,201 | 3,758 | 54.41 | 77 | 0.1% | 0 |
| Zipaquira | – | 151,412 | 177,096 | 196.01 | 772 | 4.4% | 0 |
Capas de exposición abiertas
Número de celdas H3 de resolución 3 cuyo centro está en la unidad y que contienen cada capa de Natural Earth.
- Zonas urbanas
- 486.7 H3 cells
- Puertos
- Ninguna a esta resolución
- Aeropuertos
- 1 celdas H3
- Carreteras principales
- 731.4 H3 cells
- Ferrocarriles
- 445.2 H3 cells
- Ríos y lagos
- 234.3 H3 cells
Valores de riesgo
Fuentes, créditos y licencias
- Límites ADM1
- 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.
- Límites ADM2
- 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
- Mapa base
- 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.
- Relieve
- 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.
- Población
- Cuadrícula de población GHSL 2025, Centro Común de Investigación de la Comisión Europea (CC BY 4.0), mostrada a 0.05° y sumada por unidad; WorldPop 2025 (CC BY 4.0) como segunda estimación. Las unidades más pequeñas que una celda de la cuadrícula toman la densidad de la celda en la que se encuentran.
- Países
- Natural Earth (dominio público).
- Elevación
- 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.
- Posición
- Los límites se muestran solo para la localización y no adoptan posición sobre ningún límite, nombre ni estatus.
Estado
La metodología, la estructura y las definiciones de The Global Risks Index son un borrador de trabajo preparatorio (2026), difundido para examen y comentarios y no para su aplicación. Ningún valor aparece hasta que se publica una edición a partir de un corte de evidencia gobernado; los valores incluyen entonces intervalos, clases, fuentes y su vía de corrección. Los simuladores aplican los métodos publicados a las cifras que usted elija y nunca muestran un valor del NXS-GRX.
Un perfil de país analiza la evidencia pública sobre un lugar. No es una declaración de ningún gobierno ni sobre su política, no adopta ninguna postura sobre el estatus de ningún territorio y no implica un programa nacional ni una participación. Los nombres siguen la norma M49 de la ONU.
Lo que NXS-GRX no es
NXS-GRX es información de investigación y analítica de riesgos. No es una calificación crediticia ni ESG y no usa ninguna escala de calificación; no es un índice de referencia para instrumentos financieros, ni estadística oficial, ni una alerta de emergencia o clasificación oficial, ni asesoramiento. No debe usarse para evaluar a personas físicas. Las clases de riesgo son bandas en una escala publicada, nunca clasificaciones de países ni de personas.
Las señales Pulse y las probabilidades de perspectiva son información para revisión por las autoridades competentes, nunca alertas públicas; las alertas oficiales solo proceden de autoridades con mandato.
Instituciones y fuentes
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.
Cada valor lleva la atribución de sus fuentes, que conservan sus propias licencias. Los nombres externos se citan únicamente a efectos de interoperabilidad. Los textos de autoría de Nexus están destinados a publicarse bajo CC BY 4.0.
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.