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Global Risks Index

NXS-GRX-HUN · Eastern Europe · Regions

Pest

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

Map All 19 first-level units
Page GRX-HUN-REdition Baseline Edition 2026Evidence close 2026-09-30ISO HUN / HUStatus UN member stateValues not yet publishedMethod v1.0.0-draft
3,062,977
people (GHSL 2025)
6,906 km²
area
31.2%
of Hungary
41
units inside

01Map

Inside Pest

The 41 ADM2 units of Pest.

FIG 1 · 41 units inside Pest
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

3,062,977

31.2% of Hungary.

People · WorldPop 2025

3,064,691

0% against GHSL; the two grids differ in method.

பரப்பு

6,906 km²

444 people per km².

குறியீடு

HU-PE

Subdivision code as carried by the boundary source.

03Units

41 units inside Pest

Each unit has its own page.

Boundary licences: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication · Open Data Commons Open Database License 1.0.

Unit குறியீடு People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Aszód – 43,262 50,575 297.81 145 1.3% 0
Budakeszi – 62,766 82,767 287.47 218 1.9% 0
Cegléd – 85,006 89,168 880.72 97 2.6% 0
Dabas – 51,464 53,706 611.19 84 1.6% 0
Dunakeszi – 83,551 89,370 102.92 812 2.5% 0
Érd – 102,245 127,660 183.72 557 3.1% 0
Gödöllő – 107,100 123,990 448.38 239 3.2% 0
Gyál – 40,231 45,823 171.83 234 1.2% 0
I. kerület – 22,976 20,992 3.45 6,660 0.7% 0
II. kerület – 156,028 135,920 36.57 4,267 4.7% 0
III. kerület – 61,743 61,743 38.99 1,584 1.9% 0
IV. kerület – 101,469 92,706 19.45 5,217 3.1% 0
IX. kerület – 174,781 139,457 12.65 13,817 5.3% 0
Monor – 66,675 78,432 329.88 202 2% 0
Nagykáta – 75,001 88,225 709.74 106 2.3% 0
Nagykőrös – 29,087 27,690 348.04 84 0.9% 0
Pilisvörösvár – 74,592 75,023 131.21 568 2.3% 0
Ráckeve – 43,950 46,751 415.48 106 1.3% 0
Szentendre – 92,575 111,868 323.98 286 2.8% 0
Szigetszentmiklós – 119,023 145,120 211.82 562 3.6% 0
Szob – 28,901 29,408 437.52 66 0.9% 0
V. kerület – 21,201 16,916 2.54 8,347 0.6% 0
Vác – 75,873 89,750 361.12 210 2.3% 0
Vecsés – 32,954 39,479 118.09 279 1% 0
VI. kerület – 27,250 24,897 2.38 11,450 0.8% 0
VII. kerület – 22,326 20,399 1.95 11,449 0.7% 0
VIII. kerület – 56,841 45,354 6.81 8,347 1.7% 0
X. kerület – 153,692 137,976 32.27 4,763 4.7% 0
XI. kerület – 178,835 166,793 33.21 5,385 5.4% 0
XII. kerület – 50,041 50,041 26.61 1,881 1.5% 0
XIII. kerület – 239,524 218,841 13.53 17,703 7.3% 0
XIV. kerület – 152,492 127,293 17.88 8,529 4.6% 0
XIX. kerület – 25,263 20,156 9.36 2,699 0.8% 0
XV. kerület – 80,960 73,968 27.09 2,989 2.5% 0
XVI. kerület – 85,736 86,481 33.6 2,552 2.6% 0
XVII. kerület – 103,144 100,185 54.88 1,879 3.1% 0
XVIII. kerület – 100,791 97,931 38.67 2,606 3.1% 0
XX. kerület – 84,943 77,607 12.01 7,073 2.6% 0
XXI. kerület – 81,192 67,773 26.26 3,092 2.5% 0
XXII. kerület – 81,049 78,053 33.44 2,424 2.5% 0
XXIII. kerület – 24,302 24,532 40.91 594 0.7% 0
04வெளிப்பாடு

Open exposure layers

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

Urban areas
737.5 H3 cells
Ports
None at this resolution
Airports
None at this resolution
Major roads
624.9 H3 cells
Railways
1,085.7 H3 cells
Rivers and lakes
165.1 H3 cells
05இடர்

Risk values

Values when released. Subnational risk values for Pest publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Hungary.
Run a scenario Hazards Domain indices
06Neighbours

Neighbouring units

07மூலங்கள்

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen HUN ADM1, source: geoBoundaries, Wikimedia Commons, licence: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication · source · represents 2011
ADM2 boundaries
geoBoundaries (William & Mary geoLab), gbOpen HUN ADM2, 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.
ADM3 boundaries
geoBoundaries (William & Mary geoLab), gbOpen HUN ADM3, 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.
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.
நாடுகள்
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.

நிலை

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.