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Die Global Risks Index

NXS-GRX-BRA · South America · Regions

Espirito Santo

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
4,233,258
people (GHSL 2025)
47,583 km²
area
2%
of Brazil
79
units inside

01Kaart

Inside Espirito Santo

The 79 ADM2 units of Espirito Santo.

FIG 1 · 79 units inside Espirito Santo
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.

Mense · GHSL 2025

4,233,258

2% of Brazil.

Mense · WorldPop 2025

3,948,780

-7% against GHSL; the two grids differ in method.

Area

47,583 km²

89 people per km².

Code

BR-ES

Subdivision code as carried by the boundary source.

Laagliggende kussone

591,963

people on land at or below 10 m, 14.0% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Espirito Santo 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

3,833,712

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

Poverty headcount · 2015-12-31

2.5%

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

04Units

79 units inside Espirito Santo

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
Afonso Cláudio – 33,734 31,738 944.57 36 0.8% 0
Água Doce do Norte – 11,930 12,429 477.54 25 0.3% 0
Águia Branca – 10,048 9,716 455 22 0.2% 0
Alegre – 35,969 32,088 758.92 47 0.9% 0
Alfredo Chaves – 14,347 13,887 618.06 23 0.4% 0
Alto Rio Novo – 7,676 7,022 227.63 34 0.2% 0
Anchieta – 19,538 22,610 411.57 47 0.5% 2,358
Apiacá – 5,576 3,993 194.87 29 0.1% 0
Aracruz – 104,331 96,426 1,425.77 73 2.6% 9,952
Atílio Vivacqua – 10,393 9,745 233.43 45 0.3% 0
Baixo Guandu – 31,907 32,357 911.65 35 0.8% 0
Barra de São Francisco – 43,539 43,124 946.02 46 1.1% 0
Boa Esperança – 16,541 14,365 429.79 38 0.4% 0
Bom Jesus do Itabapoana – 18,269 18,581 598.37 31 0.4% 0
Bom Jesus do Norte – 37,413 35,980 89.13 420 0.9% 0
Brejetuba – 12,292 12,803 354.96 35 0.3% 0
Cachoeiro de Itapemirim – 222,397 190,531 867.33 256 5.5% 0
Cariacica – 524,822 433,711 281.28 1,866 12.9% 91,751
Castelo – 37,705 35,208 665.42 57 0.9% 0
Colatina – 136,710 125,342 1,402.52 97 3.4% 0
Conceição da Barra – 29,428 21,407 1,185.32 25 0.7% 1,957
Conceição do Castelo – 13,795 13,340 370.7 37 0.3% 0
Divino de São Lourenço – 6,042 6,509 174.33 35 0.1% 0
Domingos Martins – 36,742 40,587 1,233.34 30 0.9% 0
Dores do Rio Preto – 6,757 6,915 159.66 42 0.2% 0
Ecoporanga – 26,140 22,534 2,294.54 11 0.6% 0
Fundão – 24,306 23,098 287.15 85 0.6% 3,797
Governador Lindenberg – 12,604 11,935 361.11 35 0.3% 0
Guaçuí – 31,868 31,078 469.73 68 0.8% 0
Guarapari – 102,834 117,031 590.65 174 2.5% 18,563
Ibatiba – 26,114 28,175 239.32 109 0.6% 0
Ibiraçu – 11,960 11,183 201.67 59 0.3% 0
Ibitirama – 8,218 8,631 331.82 25 0.2% 0
Iconha – 15,824 14,423 204.94 77 0.4% 27
Irupi – 14,612 17,010 184.85 79 0.4% 0
Itaguaçu – 16,023 14,205 536.22 30 0.4% 0
Itapemirim – 28,342 28,728 552.33 51 0.7% 7,704
Itarana – 11,944 11,300 296.12 40 0.3% 0
Iúna – 28,990 28,291 463.33 63 0.7% 0
Jaguaré – 28,332 29,873 661.96 43 0.7% 191
Jerônimo Monteiro – 9,021 9,243 177.61 51 0.2% 0
João Neiva – 17,520 13,884 285.07 61 0.4% 0
Laranja da Terra – 12,022 11,794 459.4 26 0.3% 0
Linhares – 180,530 178,417 3,506.84 51 4.4% 5,779
Mantenópolis – 15,038 12,682 322.61 47 0.4% 0
Marataízes – 40,680 47,056 130.7 311 1% 11,145
Marechal Floriano – 16,075 18,093 286.09 56 0.4% 0
Marilândia – 13,314 14,393 328.45 41 0.3% 0
Mimoso do Sul – 24,450 22,306 871.65 28 0.6% 29
Montanha – 19,882 19,976 1,102.73 18 0.5% 0
Mucurici – 11,297 10,310 542.45 21 0.3% 0
Muniz Freire – 20,137 19,021 680.61 30 0.5% 0
Muqui – 16,444 14,091 327.93 50 0.4% 0
Nova Venécia – 51,301 51,707 1,443.73 36 1.3% 0
Pancas – 24,904 18,799 842.14 30 0.6% 0
Pedro Canário – 13,262 10,399 432.8 31 0.3% 0
Pinheiros – 33,646 29,867 975.13 35 0.8% 0
Piúma – 20,473 23,665 73.85 277 0.5% 2,463
Ponto Belo – 1,477 1,062 361.6 4 0% 0
Presidente Kennedy – 13,349 15,466 597.37 22 0.3% 2,205
Rio Bananal – 18,512 19,622 644.27 29 0.5% 0
Rio Novo do Sul – 10,923 10,211 204.48 53 0.3% 1,139
Santa Leopoldina – 15,631 16,823 719.37 22 0.4% 41
Santa Maria de Jetibá – 36,781 41,938 736.89 50 0.9% 0
Santa Teresa – 26,885 25,868 685.57 39 0.7% 0
São Domingos do Norte – 8,298 8,483 299.38 28 0.2% 0
São Gabriel da Palha – 37,014 33,863 436.3 85 0.9% 0
São José do Calçado – 11,278 11,393 274.34 41 0.3% 0
São Mateus – 124,315 127,983 2,355.6 53 3.1% 32,627
São Roque do Canaã – 11,997 10,235 343.01 35 0.3% 0
Serra – 502,674 492,137 549.53 915 12.3% 69,916
Sooretama – 27,604 27,624 588.6 47 0.7% 0
Vargem Alta – 20,299 19,310 419.03 48 0.5% 0
Venda Nova do Imigrante – 24,260 25,814 186.14 130 0.6% 0
Viana – 74,445 74,374 313.14 238 1.8% 789
Vila Pavão – 9,651 9,522 434.46 22 0.2% 0
Vila Valério – 14,979 14,373 472.08 32 0.4% 0
Vila Velha – 596,923 550,622 210.92 2,830 14.7% 212,486
Vitória – 128,905 89,818 96.37 1,338 3.2% 157,161
05Exposure

Open exposure layers

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

Urban areas
202.4 H3 cells
Hawens
None at this resolution
Lughawens
None at this resolution
Major roads
1,545.5 H3 cells
Spoorweë
346.6 H3 cells
Rivers and lakes
207.8 H3 cells
06Risiko

Risk values

Values when released. Subnational risk values for Espirito Santo 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

08Bronne

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.