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Global Risks Index

NXS-GRX-COL · South America · Regions

Boyacá

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
1,119,250
people (GHSL 2025)
23,340 km²
area
2.2%
of Colombia
123
units inside

01Map

Inside Boyacá

The 123 ADM2 units of Boyacá.

FIG 1 · 123 units inside Boyacá
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

1,119,250

2.2% of Colombia.

People · WorldPop 2025

1,248,107

+12% against GHSL; the two grids differ in method.

क्षेत्र

23,340 km²

48 people per km².

कोड

CO-BOY

Subdivision code as carried by the boundary source.

03Humanitarian data

Boyacá 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

1,283,903

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

People in need · 2025-12-08

957,696

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

Rainfall · 2026-10-10

130%

of the long-term average, latest dekad. WFP – World Food Programme · Creative Commons Attribution International (CC BY).

04Units

123 units inside Boyacá

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 कोड People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Almeida – 699 1,528 58.01 12 0.1% 0
Aquitania – 11,406 15,529 946.18 12 1% 0
Arcabuco – 2,794 4,548 138.11 20 0.2% 0
Belén – 5,578 7,373 163.67 34 0.5% 0
Berbeo – 1,939 2,337 58.04 33 0.2% 0
Betéitiva – 1,072 1,892 102.39 10 0.1% 0
Boavita – 3,346 3,791 145.66 23 0.3% 0
Boyacá – 3,097 7,669 48.05 64 0.3% 0
Briceño – 2,118 2,408 64.92 33 0.2% 0
Buenavista – 4,791 3,858 110.84 43 0.4% 0
Busbanzá – 1,111 1,276 25.48 44 0.1% 0
Caldas – 1,377 2,479 79.38 17 0.1% 0
Campohermoso – 2,706 2,567 299.73 9 0.2% 0
Cerinza – 664 966 64.16 10 0.1% 0
Chinavita – 2,918 2,473 136.47 21 0.3% 0
Chiquinquirá – 60,659 61,682 165.64 366 5.4% 0
Chíquiza – 4,119 3,639 117.24 35 0.4% 0
Chiscas – 3,078 3,074 660.59 5 0.3% 0
Chita – 5,148 6,901 680.1 8 0.5% 0
Chitaraque – 1,894 1,839 159.06 12 0.2% 0
Chivatá – 4,882 2,458 49.71 98 0.4% 0
Chivor – 1,071 2,162 109.11 10 0.1% 0
Ciénega – 374 1,219 54.38 7 0% 0
Combita – 11,014 10,258 145.9 75 1% 0
Coper – 2,790 2,648 150.36 19 0.2% 0
Corrales – 12,110 15,679 60.84 199 1.1% 0
Covarachia – 2,074 3,212 102.54 20 0.2% 0
Cubará – 5,533 12,307 1,181.06 5 0.5% 0
Cucaita – 4,599 7,030 42.35 109 0.4% 0
Cuìtiva – 4,035 3,950 44.51 91 0.4% 0
Duitama – 92,298 145,793 235.11 393 8.2% 0
El Cocuy – 3,727 6,054 239.22 16 0.3% 0
El Espino – 3,117 3,536 69.8 45 0.3% 0
Firavitoba – 6,589 9,221 109.74 60 0.6% 0
Floresta – 3,451 2,748 88.28 39 0.3% 0
Gachantivá – 1,446 2,078 88.67 16 0.1% 0
Gameza – 3,134 4,827 124.08 25 0.3% 0
Garagoa – 15,584 12,721 194.69 80 1.4% 0
Guacamayas – 1,113 1,641 58 19 0.1% 0
Guateque – 8,302 9,951 36.28 229 0.7% 0
Guayatá – 2,368 2,141 100.68 24 0.2% 0
Güicán – 4,581 4,326 955.7 5 0.4% 0
Iza – 2,321 2,786 34.21 68 0.2% 0
Jenesano – 5,498 4,637 59.26 93 0.5% 0
Jericó – 2,981 5,710 132.34 23 0.3% 0
La Capilla – 597 1,986 57.04 10 0.1% 0
La Uvita – 304 1,123 162.03 2 0% 0
La Victoria – 1,536 1,219 28.06 55 0.1% 0
Labranza Grande – 3,979 3,293 584.04 7 0.4% 0
Macanal – 3,587 2,735 200.73 18 0.3% 0
Maripí – 3,350 2,876 161.45 21 0.3% 0
Miraflores – 7,915 7,064 260.04 30 0.7% 0
Mongua – 520 1,026 361.6 1 0% 0
Monguì – 5,264 6,905 69.23 76 0.5% 0
Moniquira – 15,359 16,129 219.44 70 1.4% 0
Motavita – 28,370 25,364 60.43 469 2.5% 0
Muzo – 5,921 7,066 138.48 43 0.5% 0
Nobsa – 19,789 27,737 55.82 355 1.8% 0
Nuevo Colón – 1,684 2,787 51.62 33 0.2% 0
Oicata – 1,466 1,932 60.68 24 0.1% 0
Otanche – 9,926 5,293 477.15 21 0.9% 0
Pachavita – 1,006 1,814 66.96 15 0.1% 0
Páez – 1,208 2,067 340.49 4 0.1% 0
Paipa – 23,415 26,605 306.86 76 2.1% 0
Pajarito – 9,483 983 314.71 30 0.8% 0
Panqueba – 575 1,843 39.94 14 0.1% 0
Pauna – 10,601 5,565 253.57 42 0.9% 0
Paya – 2,276 3,063 444.88 5 0.2% 0
Paz De Río – 2,225 2,331 123.11 18 0.2% 0
Pesca – 4,246 5,078 264.26 16 0.4% 0
Pisba – 802 1,662 466.49 2 0.1% 0
Puerto Boyacá – 87,003 63,131 1,519.54 57 7.8% 0
Quípama – 3,715 2,741 168.06 22 0.3% 0
Ramiriquí – 6,957 10,338 126.38 55 0.6% 0
Ráquira – 11,059 4,430 221.52 50 1% 0
Rondón – 1,952 1,496 207.38 9 0.2% 0
Saboyá – 8,746 8,385 249.94 35 0.8% 0
Sáchica – 4,450 8,250 64.33 69 0.4% 0
Samacá – 19,892 15,995 168.22 118 1.8% 0
San Eduardo – 1,171 1,628 110.24 11 0.1% 0
San José De Pare – 4,923 6,239 74.53 66 0.4% 0
San Luis De Gaceno – 3,438 3,437 471.92 7 0.3% 0
San Mateo – 2,119 3,235 124.21 17 0.2% 0
San Miguel De Sema – 4,143 4,724 94.55 44 0.4% 0
San Pablo De Borbur – 5,986 2,840 196.71 30 0.5% 0
Santa María – 2,906 3,161 310.87 9 0.3% 0
Santa Rosa De Viterbo – 8,425 16,428 117.08 72 0.8% 0
Santa Sofía – 2,248 4,683 77.83 29 0.2% 0
Santana – 7,154 10,490 68.31 105 0.6% 0
Sativanorte – 1,479 2,017 161.72 9 0.1% 0
Sativasur – 664 1,534 55.05 12 0.1% 0
Siachoque – 7,666 6,701 119.91 64 0.7% 0
Soatá – 2,699 9,907 123.27 22 0.2% 0
Socha – 6,135 12,001 150.91 41 0.5% 0
Socotá – 3,889 7,408 605.77 6 0.3% 0
Sogamoso – 96,429 114,208 209.41 460 8.6% 0
Somondoco – 1,402 967 58.98 24 0.1% 0
Sora – 2,564 4,113 47.58 54 0.2% 0
Soracá – 13,820 16,133 56.09 246 1.2% 0
Sotaquirá – 8,503 10,228 286.39 30 0.8% 0
Susacón – 1,533 1,373 183.52 8 0.1% 0
Sutamarchàn – 5,482 7,631 103.76 53 0.5% 0
Sutatenza – 2,219 1,220 41.27 54 0.2% 0
Tasco – 2,865 3,052 210.55 14 0.3% 0
Tenza – 3,347 2,789 46.05 73 0.3% 0
Tibana – 7,514 6,369 122 62 0.7% 0
Tibasosa – 10,016 15,125 93.96 107 0.9% 0
Tinjacá – 802 1,111 80.09 10 0.1% 0
Tipacoque – 2,012 2,921 72.57 28 0.2% 0
Toca – 9,157 8,563 168.99 54 0.8% 0
Togüí – 3,796 3,958 101.85 37 0.3% 0
Tópaga – 2,661 5,268 33.56 79 0.2% 0
Tota – 1,325 3,407 196.2 7 0.1% 0
Tunja – 183,039 184,430 120.25 1,522 16.4% 0
Tununguá – 2,546 3,515 29.39 87 0.2% 0
Turmequé – 4,882 9,134 79.84 61 0.4% 0
Tuta – 4,598 7,309 165.34 28 0.4% 0
Tutazá – 1,145 1,653 122.66 9 0.1% 0
Umbita – 7,735 4,857 147.08 53 0.7% 0
Ventaquemada – 15,982 13,143 160.98 99 1.4% 0
Villa De Leyva – 17,048 16,410 127.35 134 1.5% 0
Viracachá – 4,019 2,847 62.64 64 0.4% 0
Zetaquirá – 2,951 3,468 252.38 12 0.3% 0
05संपर्कात येणे

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
659.5 H3 cells
Railways
216.7 H3 cells
Rivers and lakes
36.4 H3 cells
06जोखीम

Risk values

Values when released. Subnational risk values for Boyacá 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

08स्रोत

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.
देश
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.

स्थिती

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.