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Global Risks Index

NXS-GRX-THA · South-eastern Asia · Regions

Bangkok

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

Map All 77 first-level units
Page GRX-THA-REdition Baseline Edition 2026Evidence close 2026-09-30ISO THA / THStatus UN member stateValues not yet publishedMethod v1.0.0-draft
12,074,259
people (GHSL 2025)
1,577 km²
area
16.9%
of Thailand
50
units inside

01Map

Inside Bangkok

The 50 ADM2 units of Bangkok.

FIG 1 · 50 units inside Bangkok
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

12,074,259

16.9% of Thailand.

People · WorldPop 2025

12,315,331

+2% against GHSL; the two grids differ in method.

વિસ્તાર

1,577 km²

7,656 people per km².

કોડ

TH-10

Subdivision code as carried by the boundary source.

Low coastal zone

11,407,432

people on land at or below 10 m, 94.5% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Bangkok 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 · 2023-12-31

11,479,338

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

Poverty headcount · 2022-12-31

0.3%

of people in multidimensional poverty. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).

Rainfall · 2026-10-10

67%

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

04Units

50 units inside Bangkok

Each unit has its own page.

Boundary licences: Open Data Commons Open Database License 1.0 · Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)

Unit કોડ People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Bang Bon – 426,374 614,119 34.14 12,489 2.7% 424,625
Bang Kapi – 589,857 809,109 27.38 21,543 3.8% 0
Bang Khae – 607,384 563,731 47.85 12,694 3.9% 607,384
Bang Khen – 460,555 466,226 41.29 11,154 3% 458,196
Bang Kho Laem – 195,633 99,381 8.68 22,538 1.3% 0
Bang Khun Thian – 206,216 366,316 123.76 1,666 1.3% 199,939
Bang Na – 394,649 472,768 19.38 20,364 2.5% 391,554
Bang Phlat – 219,760 127,831 12.22 17,984 1.4% 0
Bang Rak – 678,308 344,580 4.07 166,660 4.4% 446,885
Bang Sue – 412,612 287,519 13.08 31,545 2.6% 412,612
Bangkok Noi – 541,116 314,759 12.16 44,500 3.5% 526,261
Bangkok Yai – 619,740 274,942 6.29 98,528 4% 619,740
Bueng Kum – 186,531 178,296 23.38 7,978 1.2% 0
Chatuchak – 472,465 565,986 32.89 14,365 3% 463,201
Chom Thong – 377,226 229,558 23.37 16,141 2.4% 377,226
Din Daeng – 167,307 152,861 8.5 19,683 1.1% 0
Don Mueang – 538,380 504,019 37.13 14,500 3.5% 532,189
Dusit – 592,254 262,748 11.4 51,952 3.8% 513,287
Huai Khwang – 592,254 541,116 16.39 36,135 3.8% 592,254
Khan Na Yao – 240,008 229,411 25.57 9,386 1.5% 240,008
Khlong Sam Wa – 153,611 252,930 114.66 1,340 1% 152,789
Khlong San – 130,948 66,521 5.81 22,538 0.8% 0
Khlong Toei – 566,228 541,231 13.25 42,734 3.6% 475,188
Lak Si – 344,359 300,734 22.85 15,070 2.2% 344,359
Lat Krabang – 629,442 1,106,909 129.42 4,864 4% 624,731
Lat Phrao – 314,692 314,692 21.33 14,753 2% 314,692
Min Buri – 324,612 488,370 60.62 5,355 2.1% 324,612
Nong Chok – 186,315 273,868 238.14 782 1.2% 186,315
Nong Khaem – 175,077 200,476 36.69 4,772 1.1% 175,077
Pathum Wan – 179,631 91,252 7.97 22,538 1.2% 0
Phasi Charoen – 219,830 191,981 19.2 11,449 1.4% 0
Phaya Thai – 182,857 81,123 9.29 19,683 1.2% 0
Phra Khanong – 174,368 208,883 13.3 13,110 1.1% 0
Phra Nakhon – 95,134 55,338 5.29 17,984 0.6% 0
Pom Prap Sattru Phai – 49,995 22,180 2.54 19,683 0.3% 0
Prawet – 314,731 401,315 53.96 5,833 2% 314,731
Rat Burana – 160,278 97,536 12.79 12,532 1% 0
Ratchathewi – 144,081 63,920 7.32 19,683 0.9% 0
Sai Mai – 229,313 209,511 43.96 5,216 1.5% 229,313
Samphanthawong – 32,906 16,716 1.46 22,538 0.2% 0
Saphan Sung – 251,147 329,297 28.01 8,966 1.6% 251,147
Sathon – 162,276 82,436 7.2 22,538 1% 0
Suan Luang – 431,854 592,380 24.57 17,576 2.8% 431,854
Taling Chan – 167,275 139,632 35.51 4,711 1.1% 167,275
Thawi Watthana – 88,890 97,293 50.6 1,757 0.6% 88,890
Thon Buri – 167,209 74,181 8.12 20,592 1.1% 0
Thung Khru – 88,947 139,721 31.89 2,789 0.6% 88,249
Vadhana – 250,794 239,722 13.33 18,814 1.6% 0
Wang Thonglang – 648,224 889,172 17.12 37,864 4.2% 643,140
Yan Nawa – 204,400 178,506 12.44 16,431 1.3% 0
05સંપર્કમાં આવવું

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
None at this resolution
Railways
None at this resolution
Rivers and lakes
None at this resolution
06જોખમ

Risk values

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

Neighbouring units

08સ્ત્રોતો

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen THA 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 THA ADM2, source: Royal Thai Survey Department, OCHA ROAP, licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · source · represents 2019
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.
દેશો
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.

સ્થિતિ

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.