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NXS-GRX-NGA · Western Africa · Regions

Bayelsa

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

Page GRX-NGA-REdition Baseline Edition 2026Evidence close 2026-09-30ISO NGA / NGStatus UN member stateValues not yet publishedMethod v1.0.0-draft
2,721,484
people (GHSL 2025)
9,432 km²
area
1.2%
of Nigeria
8
units inside

01Ramani

Inside Bayelsa

The 8 ADM2 units of Bayelsa.

FIG 1 · 8 units inside Bayelsa
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.

Watu · GHSL 2025

2,721,484

1.2% of Nigeria.

Watu · WorldPop 2025

2,758,200

+1% against GHSL; the two grids differ in method.

Area

9,432 km²

289 people per km².

Code

NG-BY

Subdivision code as carried by the boundary source.

Ukanda wa pwani ulio chini

595,213

people on land at or below 10 m, 21.9% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Bayelsa 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

2,537,375

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

Poverty headcount · 2021-12-31

14%

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

04Units

8 units inside Bayelsa

Each unit has its own page.

Boundary licences: Creative Commons Attribution 4.0 International (CC BY 4.0)

Unit Code People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
Brass – 236,873 83,160 1,319.58 180 8.7% 145,152
Ekeremor – 407,400 179,703 1,843.39 221 15% 112,670
Kolokuma/Opokuma – 116,646 148,503 357.68 326 4.3% 8,085
Nembe – 131,236 60,168 840.53 156 4.8% 95,357
Ogbia – 309,861 393,418 696.08 445 11.4% 38,089
Sagbama – 257,674 200,520 956.33 269 9.5% 31,866
Southern Ijaw – 526,995 261,466 2,707.83 195 19.4% 103,700
Yenegoa – 734,798 1,431,261 710.61 1,034 27% 86,734
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
None at this resolution
Bandari
None at this resolution
Viwanja vya ndege
None at this resolution
Major roads
26.1 H3 cells
Reli
None at this resolution
Rivers and lakes
93.9 H3 cells
06Hatari

Risk values

Values when released. Subnational risk values for Bayelsa publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Nigeria.
07Neighbours

Neighbouring units

08Vyanzo

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen NGA ADM1, source: GRID3, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · source · represents 2022
ADM2 boundaries
geoBoundaries (William & Mary geoLab), gbOpen NGA ADM2, source: GRID3, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · source · represents 2022
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.