Mato Grosso do Sul
First-level unit, Brazil: people, area, the units inside and neighbours, with risk values when released.
Inside Mato Grosso do Sul
The 78 ADM2 units of Mato Grosso do Sul.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
3,185,557
1.5% of Brazil.
3,121,422
-2% against GHSL; the two grids differ in method.
358,469 km²
9 people per km².
BR-MS
Subdivision code as carried by the boundary source.
Mato Grosso do Sul 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.
2,757,013
people. UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).
3.3%
of people in multidimensional poverty. Oxford Poverty & Human Development Initiative · Public Domain / No restrictions (CC0).
78 units inside Mato Grosso do Sul
Each unit has its own page.
Boundary licences: Creative Commons Attribution 2.5 Generic · Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO)
| Unit | Code | People (GHSL) | People (WorldPop) | Area km² | Per km² | Share | Coast ≤ 10 m |
|---|---|---|---|---|---|---|---|
| Água Clara | – | 16,198 | 18,328 | 7,804.14 | 2 | 0.5% | 0 |
| Alcinópolis | – | 5,649 | 4,676 | 4,411.79 | 1 | 0.2% | 0 |
| Amambai | – | 41,972 | 42,434 | 4,204.09 | 10 | 1.4% | 0 |
| Anastácio | – | 23,089 | 20,783 | 2,919.73 | 8 | 0.8% | 0 |
| Anaurilândia | – | 9,804 | 7,503 | 3,424.51 | 3 | 0.3% | 0 |
| Angélica | – | 11,431 | 11,655 | 1,286.63 | 9 | 0.4% | 0 |
| Antônio João | – | 9,684 | 10,101 | 1,098.24 | 9 | 0.3% | 0 |
| Aparecida do Taboado | – | 27,301 | 29,880 | 2,758.41 | 10 | 0.9% | 0 |
| Aquidauana | – | 57,715 | 53,565 | 17,136.84 | 3 | 1.9% | 0 |
| Aral Moreira | – | 13,951 | 12,876 | 1,658.97 | 8 | 0.5% | 0 |
| Bandeirantes | – | 7,989 | 8,461 | 3,110.3 | 3 | 0.3% | 0 |
| Bataguassu | – | 24,219 | 24,495 | 2,397.97 | 10 | 0.8% | 0 |
| Batayporã | – | 14,011 | 12,018 | 1,829.45 | 8 | 0.5% | 0 |
| Bela Vista | – | 41,428 | 31,415 | 4,960.28 | 8 | 1.4% | 0 |
| Bodoquena | – | 9,535 | 8,989 | 2,598.15 | 4 | 0.3% | 0 |
| Bonito | – | 22,822 | 25,126 | 5,388.77 | 4 | 0.8% | 0 |
| Brasilândia | – | 12,597 | 11,633 | 5,820.15 | 2 | 0.4% | 0 |
| Caarapó | – | 32,781 | 33,005 | 2,122.14 | 15 | 1.1% | 0 |
| Camapuã | – | 16,467 | 14,273 | 6,255.72 | 3 | 0.5% | 0 |
| Campo Grande | – | 958,397 | 958,969 | 8,105.37 | 118 | 31.5% | 0 |
| Caracol | – | 7,149 | 5,837 | 2,950.99 | 2 | 0.2% | 0 |
| Cassilândia | – | 23,706 | 22,137 | 3,669.12 | 6 | 0.8% | 0 |
| Chapadão do Sul | – | 25,231 | 35,461 | 3,261.86 | 8 | 0.8% | 0 |
| Corguinho | – | 5,756 | 4,467 | 2,647.57 | 2 | 0.2% | 0 |
| Coronel Sapucaia | – | 31,578 | 28,551 | 1,026.49 | 31 | 1% | 0 |
| Corumbá | – | 71,806 | 58,198 | 64,644.18 | 1 | 2.4% | 0 |
| Costa Rica | – | 20,399 | 28,852 | 4,173.11 | 5 | 0.7% | 0 |
| Coxim | – | 31,597 | 26,808 | 6,411.33 | 5 | 1% | 0 |
| Deodápolis | – | 14,049 | 14,523 | 830 | 17 | 0.5% | 0 |
| Dois Irmãos do Buriti | – | 12,088 | 11,922 | 2,439.08 | 5 | 0.4% | 0 |
| Douradina | – | 6,297 | 5,839 | 281.24 | 22 | 0.2% | 0 |
| Dourados | – | 232,814 | 262,284 | 4,073.27 | 57 | 7.7% | 0 |
| Eldorado | – | 13,222 | 11,150 | 1,014.26 | 13 | 0.4% | 0 |
| Fátima do Sul | – | 20,230 | 21,427 | 315.59 | 64 | 0.7% | 0 |
| Figueirão | – | 3,447 | 3,786 | 4,894.18 | 1 | 0.1% | 0 |
| Glória de Dourados | – | 11,194 | 10,777 | 496.44 | 23 | 0.4% | 0 |
| Guia Lopes da Laguna | – | 4,065 | 3,319 | 1,229.02 | 3 | 0.1% | 0 |
| Iguatemi | – | 17,766 | 13,632 | 2,964.56 | 6 | 0.6% | 0 |
| Inocência | – | 8,782 | 8,928 | 5,779.6 | 2 | 0.3% | 0 |
| Itaporã | – | 24,665 | 25,311 | 1,345.88 | 18 | 0.8% | 0 |
| Itaquiraí | – | 22,215 | 20,338 | 2,068.51 | 11 | 0.7% | 0 |
| Ivinhema | – | 25,545 | 30,284 | 2,009.42 | 13 | 0.8% | 0 |
| Japorã | – | 9,298 | 7,933 | 417.7 | 22 | 0.3% | 0 |
| Jaraguari | – | 7,380 | 7,391 | 2,922.37 | 3 | 0.2% | 0 |
| Jardim | – | 35,707 | 31,570 | 2,131.32 | 17 | 1.2% | 0 |
| Jateí | – | 4,566 | 3,390 | 1,937.15 | 2 | 0.2% | 0 |
| Juti | – | 6,553 | 6,935 | 1,572.88 | 4 | 0.2% | 0 |
| Ladário | – | 75,527 | 58,753 | 354.95 | 213 | 2.5% | 0 |
| Laguna Carapã | – | 7,627 | 7,016 | 1,728.59 | 4 | 0.3% | 0 |
| Maracaju | – | 47,522 | 47,669 | 5,410.18 | 9 | 1.6% | 0 |
| Miranda | – | 30,141 | 26,236 | 5,487.8 | 5 | 1% | 0 |
| Mundo Novo | – | 19,497 | 20,449 | 479.55 | 41 | 0.6% | 0 |
| Naviraí | – | 56,501 | 53,536 | 3,197.95 | 18 | 1.9% | 0 |
| Nioaque | – | 16,407 | 13,095 | 3,923.37 | 4 | 0.5% | 0 |
| Nova Alvorada do Sul | – | 22,191 | 23,912 | 4,036.34 | 5 | 0.7% | 0 |
| Nova Andradina | – | 56,135 | 51,108 | 4,783.38 | 12 | 1.8% | 0 |
| Novo Horizonte do Sul | – | 5,297 | 4,749 | 851.82 | 6 | 0.2% | 0 |
| Paraíso das Águas | – | 5,406 | 5,686 | 5,077.57 | 1 | 0.2% | 0 |
| Paranaíba | – | 47,524 | 42,975 | 5,419.39 | 9 | 1.6% | 0 |
| Paranhos | – | 22,032 | 16,844 | 1,310.03 | 17 | 0.7% | 0 |
| Pedro Gomes | – | 8,820 | 6,638 | 3,565.06 | 2 | 0.3% | 0 |
| Ponta Porã | – | 159,756 | 141,822 | 5,373.23 | 30 | 5.3% | 0 |
| Porto Murtinho | – | 17,923 | 12,548 | 17,552.12 | 1 | 0.6% | 0 |
| Ribas do Rio Pardo | – | 26,073 | 24,952 | 17,364.8 | 2 | 0.9% | 0 |
| Rio Brilhante | – | 38,176 | 41,474 | 3,993.4 | 10 | 1.3% | 0 |
| Rio Negro | – | 5,629 | 4,807 | 1,835.3 | 3 | 0.2% | 0 |
| Rio Verde de Mato Grosso | – | 27,335 | 27,249 | 8,196.47 | 3 | 0.9% | 0 |
| Rochedo | – | 6,254 | 6,139 | 1,571.73 | 4 | 0.2% | 0 |
| Santa Rita do Pardo | – | 9,590 | 7,334 | 6,158.4 | 2 | 0.3% | 0 |
| São Gabriel do Oeste | – | 27,864 | 32,511 | 3,860.47 | 7 | 0.9% | 0 |
| Selvíria | – | 7,406 | 8,767 | 3,264.74 | 2 | 0.2% | 0 |
| Sete Quedas | – | 6,254 | 4,147 | 839.84 | 7 | 0.2% | 0 |
| Sidrolândia | – | 59,389 | 50,083 | 5,281.78 | 11 | 2% | 0 |
| Tacuru | – | 12,349 | 11,168 | 1,788.43 | 7 | 0.4% | 0 |
| Taquarussu | – | 3,246 | 2,906 | 1,057.1 | 3 | 0.1% | 0 |
| Terenos | – | 23,728 | 19,063 | 2,852.54 | 8 | 0.8% | 0 |
| Três Lagoas | – | 125,137 | 144,452 | 10,245.94 | 12 | 4.1% | 0 |
| Vicentina | – | 7,047 | 7,078 | 313.13 | 23 | 0.2% | 0 |
Open exposure layers
Count of H3 resolution-3 cells whose centre falls in the unit and that carry each Natural Earth layer.
- Urban areas
- 310.1 H3 cells
- Hawens
- None at this resolution
- Lughawens
- 2 H3 cells
- Major roads
- 4,109.7 H3 cells
- Spoorweë
- 1,157.2 H3 cells
- Rivers and lakes
- 2,910.9 H3 cells
Risk values
Neighbouring units
- BR-MTMato Grosso
- BR-GOGoias
- BR-MGMinas Gerais
- BR-SPSao Paulo
- BR-PRParana
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen BRA ADM1, source: geoBoundaries, Wikimedia Commons, licence: Creative Commons Attribution 2.5 Generic · source · represents 2006
- ADM2 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen BRA ADM2, source: Instituto Brasileiro de Geografia e Estatística (IBGE), OCHA ROLAC, licence: Creative Commons Attribution 3.0 Intergovernmental Organisations (CC BY 3.0 IGO) · 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.
- Lande
- 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.
Status
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.
Wat NXS-GRX nie is nie
NXS-GRX is navorsings- en risiko-analise-inligting. Dit is nie 'n krediet- of ESG-gradering nie en gebruik geen graderingskaal nie, nie 'n maatstaf vir finansiële instrumente nie, nie amptelike statistiek nie, nie 'n noodwaarskuwing of amptelike klassifikasie nie, en nie advies nie. Dit mag nie gebruik word om natuurlike persone te evalueer nie. Risikoklasse is bande op 'n gepubliseerde skaal, nooit ranglyste van lande of mense nie.
Pulse-seine en vooruitskouwaarskynlikhede is inligting vir hersiening deur bevoegde owerhede, nooit openbare waarskuwings nie; amptelike waarskuwings kom slegs van gemandateerde owerhede.
Instellings en bronne
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.