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I-Global Risks Index

NXS-GRX-COL · South America · Regions

Cundinamarca

First-level unit, Colombia: people, area, the units inside and neighbours, with risk values when released.

Map All 33 first-level units
Page GRX-COL-REdition Baseline Edition 2026Evidence close 2026-09-30ISO COL / COStatus UN member stateValues not yet publishedMethod v1.0.0-draft
3,462,988
people (GHSL 2025)
22,475 km²
area
6.7%
of Colombia
116
units inside

01Map

Inside Cundinamarca

The 116 ADM2 units of Cundinamarca.

FIG 1 · 116 units inside Cundinamarca
Loading the map

Units rise with people per km² · GHSL 2025 raster · terrain · ADM1 ADM2Risk values when released
Lowest fifthLow fifthMiddle fifthHigh fifthHighest fifthNo data
Column height and colour show people per km² by unit, in quantile fifths among the units shown (the key on the map gives the breaks); units with no people on the grid are grey, not the lowest class; the raster beneath is the GHSL 2025 population grid. Source observations, not index values. Choose a humanitarian figure from the list to colour and raise the units by it; each figure shows its source on the unit page. Select a unit to drill into the units inside it; the path above the map climbs back.
02Figures

People, area and density

Source observations from open grids summed inside the boundary; not index values.

People · GHSL 2025

3,462,988

6.7% of Colombia.

People · WorldPop 2025

4,432,920

+28% against GHSL; the two grids differ in method.

Indawo

22,475 km²

154 people per km².

Ikhowudi

CO-CUN

Subdivision code as carried by the boundary source.

03Humanitarian data

Cundinamarca 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.

Population · 2025-12-31

3,760,874

people. UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).

People in need · 2025-12-08

2,421,222

humanitarian need. OCHA Humanitarian Programme Cycle Tools (HPC Tools) · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).

04Units

116 units inside Cundinamarca

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 Ikhowudi People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 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
05Ukuchaphazeleka

Open exposure layers

Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.

Urban areas
486.7 H3 cells
Ports
None at this resolution
Airports
1 H3 cells
Major roads
731.4 H3 cells
Railways
445.2 H3 cells
Rivers and lakes
234.3 H3 cells
06Umngcipheko

Risk values

Values when released. Subnational risk values for Cundinamarca publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Colombia.
Run a scenario Hazards Domain indices
07Neighbours

Neighbouring units

08Imithombo

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.
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.

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.

What NXS-GRX is not

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.

Pulse signals and outlook probabilities are information for review by competent authorities, never public warnings; official warnings come only from mandated authorities.

Institutions and sources

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.