NXS-GRX-BRA · South America · Regions

Espirito Santo

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

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
01Map

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.

People · GHSL 2025

4,233,258

2% of Brazil.

People · 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.

Low coastal zone

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)

UnitCodePeople (GHSL)People (WorldPop)Area km²Per km²ShareCoast ≤ 10 m
Afonso Cláudio–33,73431,738944.57360.8%0
Água Doce do Norte–11,93012,429477.54250.3%0
Águia Branca–10,0489,716455220.2%0
Alegre–35,96932,088758.92470.9%0
Alfredo Chaves–14,34713,887618.06230.4%0
Alto Rio Novo–7,6767,022227.63340.2%0
Anchieta–19,53822,610411.57470.5%2,358
Apiacá–5,5763,993194.87290.1%0
Aracruz–104,33196,4261,425.77732.6%9,952
Atílio Vivacqua–10,3939,745233.43450.3%0
Baixo Guandu–31,90732,357911.65350.8%0
Barra de São Francisco–43,53943,124946.02461.1%0
Boa Esperança–16,54114,365429.79380.4%0
Bom Jesus do Itabapoana–18,26918,581598.37310.4%0
Bom Jesus do Norte–37,41335,98089.134200.9%0
Brejetuba–12,29212,803354.96350.3%0
Cachoeiro de Itapemirim–222,397190,531867.332565.5%0
Cariacica–524,822433,711281.281,86612.9%91,751
Castelo–37,70535,208665.42570.9%0
Colatina–136,710125,3421,402.52973.4%0
Conceição da Barra–29,42821,4071,185.32250.7%1,957
Conceição do Castelo–13,79513,340370.7370.3%0
Divino de São Lourenço–6,0426,509174.33350.1%0
Domingos Martins–36,74240,5871,233.34300.9%0
Dores do Rio Preto–6,7576,915159.66420.2%0
Ecoporanga–26,14022,5342,294.54110.6%0
Fundão–24,30623,098287.15850.6%3,797
Governador Lindenberg–12,60411,935361.11350.3%0
Guaçuí–31,86831,078469.73680.8%0
Guarapari–102,834117,031590.651742.5%18,563
Ibatiba–26,11428,175239.321090.6%0
Ibiraçu–11,96011,183201.67590.3%0
Ibitirama–8,2188,631331.82250.2%0
Iconha–15,82414,423204.94770.4%27
Irupi–14,61217,010184.85790.4%0
Itaguaçu–16,02314,205536.22300.4%0
Itapemirim–28,34228,728552.33510.7%7,704
Itarana–11,94411,300296.12400.3%0
Iúna–28,99028,291463.33630.7%0
Jaguaré–28,33229,873661.96430.7%191
Jerônimo Monteiro–9,0219,243177.61510.2%0
João Neiva–17,52013,884285.07610.4%0
Laranja da Terra–12,02211,794459.4260.3%0
Linhares–180,530178,4173,506.84514.4%5,779
Mantenópolis–15,03812,682322.61470.4%0
Marataízes–40,68047,056130.73111%11,145
Marechal Floriano–16,07518,093286.09560.4%0
Marilândia–13,31414,393328.45410.3%0
Mimoso do Sul–24,45022,306871.65280.6%29
Montanha–19,88219,9761,102.73180.5%0
Mucurici–11,29710,310542.45210.3%0
Muniz Freire–20,13719,021680.61300.5%0
Muqui–16,44414,091327.93500.4%0
Nova Venécia–51,30151,7071,443.73361.3%0
Pancas–24,90418,799842.14300.6%0
Pedro Canário–13,26210,399432.8310.3%0
Pinheiros–33,64629,867975.13350.8%0
Piúma–20,47323,66573.852770.5%2,463
Ponto Belo–1,4771,062361.640%0
Presidente Kennedy–13,34915,466597.37220.3%2,205
Rio Bananal–18,51219,622644.27290.5%0
Rio Novo do Sul–10,92310,211204.48530.3%1,139
Santa Leopoldina–15,63116,823719.37220.4%41
Santa Maria de Jetibá–36,78141,938736.89500.9%0
Santa Teresa–26,88525,868685.57390.7%0
São Domingos do Norte–8,2988,483299.38280.2%0
São Gabriel da Palha–37,01433,863436.3850.9%0
São José do Calçado–11,27811,393274.34410.3%0
São Mateus–124,315127,9832,355.6533.1%32,627
São Roque do Canaã–11,99710,235343.01350.3%0
Serra–502,674492,137549.5391512.3%69,916
Sooretama–27,60427,624588.6470.7%0
Vargem Alta–20,29919,310419.03480.5%0
Venda Nova do Imigrante–24,26025,814186.141300.6%0
Viana–74,44574,374313.142381.8%789
Vila Pavão–9,6519,522434.46220.2%0
Vila Valério–14,97914,373472.08320.4%0
Vila Velha–596,923550,622210.922,83014.7%212,486
Vitória–128,90589,81896.371,3383.2%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
Ports
None at this resolution
Airports
None at this resolution
Major roads
1,545.5 H3 cells
Railways
346.6 H3 cells
Rivers and lakes
207.8 H3 cells
06Risk

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.
07Neighbours

Neighbouring units

08Sources

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.
Countries
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.
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