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Global Risks Index

NXS-GRX-BRA · South America · Regions

Mato Grosso

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

Map All 27 first-level units
Page GRX-BRA-REdition Baseline Edition 2026Evidence close 2026-09-30ISO BRA / BRStatus UN member stateValues not yet publishedMethod v1.0.0-draft
3,728,865
people (GHSL 2025)
909,630 km²
area
1.7%
of Brazil
142
units inside

01Ramani

Inside Mato Grosso

The 142 ADM2 units of Mato Grosso.

FIG 1 · 142 units inside Mato Grosso
Inapakia ramani

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.

Watu · GHSL 2025

3,728,865

1.7% of Brazil.

Watu · WorldPop 2025

3,917,861

+5% against GHSL; the two grids differ in method.

Area

909,630 km²

4 people per km².

Code

BR-MT

Subdivision code as carried by the boundary source.

03Humanitarian data

Mato Grosso 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 · 2022-12-31

3,658,649

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

Poverty headcount · 2015-12-31

4.5%

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

04Units

142 units inside Mato Grosso

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
Acorizal – 5,788 4,520 1,015.61 6 0.2% 0
Água Boa – 27,852 32,581 7,534.54 4 0.7% 0
Alta Floresta – 58,651 63,295 8,988.23 7 1.6% 0
Alto Araguaia – 26,209 22,573 5,417.24 5 0.7% 0
Alto Boa Vista – 8,345 6,003 2,248.9 4 0.2% 0
Alto Garças – 13,075 14,367 3,877.79 3 0.3% 0
Alto Paraguai – 12,493 7,143 1,852.37 7 0.3% 0
Alto Taquari – 11,757 12,067 1,444.57 8 0.3% 0
Apiacás – 11,060 9,064 20,576.51 1 0.3% 0
Araguaiana – 3,842 4,118 6,448.12 1 0.1% 0
Araguainha – 133 274 690.85 0 0% 0
Araputanga – 18,702 14,736 1,612.54 12 0.5% 0
Arenápolis – 13,924 13,467 416.5 33 0.4% 0
Aripuanã – 26,671 27,130 25,207.82 1 0.7% 0
Barão de Melgaço – 6,302 4,467 11,464.61 1 0.2% 0
Barra do Bugres – 38,471 28,863 6,001.89 6 1% 0
Barra do Garças – 75,031 80,585 9,111.6 8 2% 0
Bom Jesus do Araguaia – 7,631 7,991 4,291.07 2 0.2% 0
Brasnorte – 21,052 18,248 16,020.43 1 0.6% 0
Cáceres – 103,474 93,768 24,677.99 4 2.7% 0
Campinápolis – 17,072 15,548 6,003.37 3 0.5% 0
Campo Novo do Parecis – 37,576 52,876 9,467.22 4 1% 0
Campo Verde – 48,328 51,690 5,413.29 9 1.3% 0
Campos de Júlio – 7,036 10,228 6,812.1 1 0.2% 0
Canabrava do Norte – 5,445 4,321 3,466.21 2 0.1% 0
Canarana – 22,506 28,643 10,926.49 2 0.6% 0
Carlinda – 12,486 10,314 2,426.1 5 0.3% 0
Castanheira – 9,995 7,495 3,925.27 3 0.3% 0
Chapada dos Guimarães – 21,794 19,745 6,476.67 3 0.6% 0
Cláudia – 14,534 9,015 3,865.33 4 0.4% 0
Cocalinho – 7,010 6,543 16,575.81 0 0.2% 0
Colíder – 37,124 32,626 3,115.55 12 1% 0
Colniza – 37,196 25,368 28,065.07 1 1% 0
Comodoro – 22,904 19,376 21,600.76 1 0.6% 0
Confresa – 33,398 38,690 5,824.17 6 0.9% 0
Conquista D’Oeste – 4,021 4,094 2,692.84 1 0.1% 0
Cotriguaçu – 21,114 9,653 9,458.65 2 0.6% 0
Cuiabá – 667,810 756,175 3,277.78 204 17.7% 0
Curvelândia – 5,797 4,986 360.14 16 0.2% 0
Denise – 10,323 6,392 1,284.08 8 0.3% 0
Diamantino – 25,352 23,218 8,222.41 3 0.7% 0
Dom Aquino – 9,272 7,896 2,231.64 4 0.2% 0
Feliz Natal – 15,019 10,500 11,723.66 1 0.4% 0
Figueirópolis D’Oeste – 5,077 3,394 890.81 6 0.1% 0
Gaúcha do Norte – 9,245 9,514 16,997.97 1 0.2% 0
General Carneiro – 5,502 5,312 3,723.11 1 0.1% 0
Glória D’Oeste – 3,590 2,823 836.42 4 0.1% 0
Guarantã do Norte – 38,839 30,943 4,752.26 8 1% 0
Guiratinga – 16,021 9,792 5,062.1 3 0.4% 0
Indiavaí – 2,814 2,060 594.45 5 0.1% 0
Ipiranga do Norte – 7,123 8,687 3,480.22 2 0.2% 0
Itanhangá – 7,208 8,236 2,909.61 2 0.2% 0
Itaúba – 4,475 5,277 4,549.53 1 0.1% 0
Itiquira – 14,225 12,563 8,690.09 2 0.4% 0
Jaciara – 32,286 30,550 2,405.91 13 0.9% 0
Jangada – 9,817 7,599 1,303.29 8 0.3% 0
Jauru – 11,691 7,870 1,363.49 9 0.3% 0
Juara – 42,965 39,716 22,713.03 2 1.1% 0
Juína – 46,374 48,919 26,292.63 2 1.2% 0
Juruena – 16,730 9,491 2,791.09 6 0.4% 0
Juscimeira – 12,266 11,268 2,728.67 4 0.3% 0
Lambari D’Oeste – 7,491 4,570 1,772.23 4 0.2% 0
Lucas do Rio Verde – 67,555 92,317 3,688.2 18 1.8% 0
Luciara – 2,539 2,660 4,260.77 1 0.1% 0
Marcelândia – 13,293 11,076 12,323.1 1 0.4% 0
Matupá – 18,080 22,489 5,240.25 3 0.5% 0
Mirassol d’Oeste – 31,710 28,140 1,084.26 29 0.8% 0
Nobres – 16,962 15,706 3,925.86 4 0.4% 0
Nortelândia – 4,864 3,316 1,358.65 4 0.1% 0
Nossa Senhora do Livramento – 17,903 15,197 5,456.24 3 0.5% 0
Nova Bandeirantes – 16,346 14,660 9,632.21 2 0.4% 0
Nova Brasilândia – 4,895 3,717 3,291.24 1 0.1% 0
Nova Canaã do Norte – 14,359 11,701 5,980.04 2 0.4% 0
Nova Guarita – 5,181 4,332 1,118.06 5 0.1% 0
Nova Lacerda – 7,335 7,246 4,810.24 2 0.2% 0
Nova Marilândia – 3,784 3,901 1,945.65 2 0.1% 0
Nova Maringá – 9,134 5,555 11,600.68 1 0.2% 0
Nova Monte Verde – 9,858 8,491 5,173.21 2 0.3% 0
Nova Mutum – 48,801 64,101 9,566.35 5 1.3% 0
Nova Nazaré – 4,140 4,796 4,052.7 1 0.1% 0
Nova Olímpia – 21,751 16,235 1,372.57 16 0.6% 0
Nova Santa Helena – 4,697 4,545 2,386.23 2 0.1% 0
Nova Ubiratã – 12,572 12,533 12,547.14 1 0.3% 0
Nova Xavantina – 23,440 26,314 5,550.89 4 0.6% 0
Novo Horizonte do Norte – 4,415 3,135 902.23 5 0.1% 0
Novo Mundo – 9,683 6,269 5,812.39 2 0.3% 0
Novo Santo Antônio – 2,590 2,055 4,409.52 1 0.1% 0
Novo São Joaquim – 7,704 7,635 5,250.23 1 0.2% 0
Paranaíta – 12,574 12,138 4,812.47 3 0.3% 0
Paranatinga – 24,575 29,176 24,254.49 1 0.7% 0
Pedra Preta – 19,062 19,521 4,061.61 5 0.5% 0
Peixoto de Azevedo – 37,845 34,009 14,459.36 3 1% 0
Planalto da Serra – 3,079 3,278 2,451.36 1 0.1% 0
Poconé – 36,932 31,888 17,083.7 2 1% 0
Pontal do Araguaia – 7,647 8,734 2,746.26 3 0.2% 0
Ponte Branca – 529 613 689.05 1 0% 0
Pontes e Lacerda – 49,274 55,677 8,597.75 6 1.3% 0
Porto Alegre do Norte – 13,464 15,204 3,989.2 3 0.4% 0
Porto dos Gaúchos – 2,621 2,424 6,889.13 0 0.1% 0
Porto Esperidião – 12,555 9,770 5,829.15 2 0.3% 0
Porto Estrela – 3,665 2,972 2,064.62 2 0.1% 0
Poxoréu – 41,295 46,905 6,899.27 6 1.1% 0
Primavera do Leste – 45,482 74,389 5,501.01 8 1.2% 0
Querência – 18,490 31,332 17,854.8 1 0.5% 0
Reserva do Cabaçal – 3,165 1,982 1,348.62 2 0.1% 0
Ribeirão Cascalheira – 10,398 10,582 11,398.45 1 0.3% 0
Ribeirãozinho – 2,742 2,818 628.02 4 0.1% 0
Rio Branco – 5,656 4,368 563.44 10 0.1% 0
Rondolândia – 5,641 3,501 12,721.23 0 0.1% 0
Rondonópolis – 244,962 270,312 4,703.86 52 6.5% 0
Rosário Oeste – 20,005 14,769 7,193.93 3 0.5% 0
Salto do Céu – 4,224 3,542 1,760.76 2 0.1% 0
Santa Carmem – 4,902 5,762 3,869 1 0.1% 0
Santa Cruz do Xingu – 2,418 2,891 5,674.45 0 0.1% 0
Santa Rita do Trivelato – 3,959 3,570 4,753.62 1 0.1% 0
Santa Terezinha – 8,680 7,702 6,492.69 1 0.2% 0
Santo Afonso – 3,448 2,272 1,178.17 3 0.1% 0
Santo Antônio do Leste – 4,480 4,362 3,416.1 1 0.1% 0
Santo Antônio do Leverger – 17,736 17,181 9,475.4 2 0.5% 0
São Félix do Araguaia – 11,801 14,734 16,781 1 0.3% 0
São José do Povo – 4,928 2,554 449.46 11 0.1% 0
São José do Rio Claro – 22,172 13,983 4,548.75 5 0.6% 0
São José do Xingu – 6,456 6,431 7,489.34 1 0.2% 0
São José dos Quatro Marcos – 22,279 17,769 1,293.4 17 0.6% 0
São Pedro da Cipa – 4,472 3,904 345.28 13 0.1% 0
Sapezal – 27,653 32,524 13,675.4 2 0.7% 0
Serra Nova Dourada – 2,029 2,112 1,506.44 1 0.1% 0
Sinop – 151,967 224,865 3,959.12 38 4% 0
Sonora – 19,462 14,531 4,198.86 5 0.5% 0
Sorriso – 97,650 131,632 9,383.4 10 2.6% 0
Tabaporã – 11,415 10,160 8,479.5 1 0.3% 0
Tangará da Serra – 108,782 113,960 11,647.78 9 2.9% 0
Tapurah – 14,921 16,240 4,507.47 3 0.4% 0
Terra Nova do Norte – 11,943 10,258 2,441.17 5 0.3% 0
Tesouro – 4,994 3,419 4,300.5 1 0.1% 0
Torixoréu – 4,499 4,343 2,406.93 2 0.1% 0
União do Sul – 4,230 3,934 4,600.44 1 0.1% 0
Vale de São Domingos – 3,067 2,314 1,895.01 2 0.1% 0
Várzea Grande – 254,310 265,972 946.02 269 6.7% 0
Vera – 12,460 11,883 2,966 4 0.3% 0
Vila Bela da Santíssima Trindade – 17,782 18,247 13,472.13 1 0.5% 0
Vila Rica – 27,555 19,768 7,462.98 4 0.7% 0
05Mfiduo

Open exposure layers

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

Urban areas
237.2 H3 cells
Bandari
None at this resolution
Viwanja vya ndege
1 H3 cells
Major roads
9,107.6 H3 cells
Reli
None at this resolution
Rivers and lakes
5,797.7 H3 cells
06Hatari

Risk values

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

Neighbouring units

08Vyanzo

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.
Nchi
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.

Hali

Mbinu, muundo na fasili za The Global Risks Index ni rasimu ya kazi ya maandalizi (2026), inayosambazwa kwa mapitio na maoni na si kwa utekelezaji. Hakuna thamani itakayoonekana hadi toleo litakapotolewa kutoka kato la ushahidi linalosimamiwa; kisha thamani zitakuwa na vipindi, madaraja, vyanzo na njia yake ya masahihisho. Viigaji huendesha mbinu zilizochapishwa kwa namba unazochagua na kamwe havionyeshi thamani ya NXS-GRX.

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.

NXS-GRX si nini

NXS-GRX ni taarifa ya utafiti na uchambuzi wa hatari. Si daraja la mikopo wala la ESG na haitumii kipimo chochote cha daraja, si kigezo cha vyombo vya fedha, si takwimu rasmi, si onyo la dharura wala uainishaji rasmi, na si ushauri. Haipaswi kutumiwa kutathmini watu binafsi. Madaraja ya hatari ni mikanda kwenye kipimo kilichochapishwa, kamwe si mpangilio wa nchi au watu.

Ishara za Pulse na uwezekano wa mtazamo ni taarifa za kukaguliwa na mamlaka husika, kamwe si maonyo ya umma; maonyo rasmi hutoka tu kwa mamlaka zilizopewa jukumu.

Taasisi na vyanzo

Nexus Consortium inasimamiwa na taasisi tatu huru zisizo za faida: The Global Centre for Risk and Innovation (GCRI), kupitia GCRI US huko Washington, DC na GCRI Canada huko Ontario, huku GCRI Canada ikiwa Taasisi Kiongozi, Sekretarieti ya Muungano na shirika kiongozi la mikataba; The Global Risks Forum (GRF); na The Global Risks Alliance (GRA). Watoa huduma za teknolojia, miundombinu na huduma hufanya kazi na Muungano kwa umbali chini ya makubaliano ya maandishi, kama kila mhusika mwingine wa nje katika muundo wa umma, sekta binafsi na sayari, na hawana jukumu lolote katika usimamizi wake.

Kila thamani ina utajo wa vyanzo vyake, ambavyo hubaki na leseni zao. Majina ya nje yanatajwa kwa ajili ya mwingiliano tu. Maandishi yaliyoandikwa na Nexus yanakusudiwa kuwa chini ya CC BY 4.0 yatakapotolewa.

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.