Skip to content

NXS-GRX-ROU · Eastern Europe · Regions

MURES

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

Page GRX-ROU-REdition Baseline Edition 2026Evidence close 2026-09-30ISO ROU / ROStatus UN member stateValues not yet publishedMethod v1.0.0-draft
543,983
people (GHSL 2025)
6,695 km²
area
2.8%
of Romania
104
units inside

01Map

Inside MURES

The 104 ADM2 units of MURES.

FIG 1 · 104 units inside MURES
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. 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

543,983

2.8% of Romania.

People · WorldPop 2025

516,143

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

Indawo

6,695 km²

81 people per km².

Ikhowudi

RO-MS

Subdivision code as carried by the boundary source.

03Units

104 units inside MURES

Each unit has its own page.

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

Unit Ikhowudi People (GHSL) People (WorldPop) Area km² Per km² Share Coast ≤ 10 m
ACATARI – 7,560 8,771 74.17 102 1.3% 0
ADAMUS – 5,788 5,951 80.87 72 1% 0
ALBESTI – 2,635 3,159 82.31 32 0.5% 0
ALUNIS – 2,409 2,412 40.51 59 0.4% 0
APOLD – 2,850 3,263 124.98 23 0.5% 0
ATINTIS – 3,087 3,228 48.25 64 0.5% 0
BAGACIU – 2,728 2,915 36.99 74 0.5% 0
BAHNEA – 5,044 5,059 91.38 55 0.9% 0
BALA – 1,010 833 28.34 36 0.2% 0
BALAUSERI – 2,690 3,003 77.85 35 0.5% 0
BAND – 6,084 6,299 89.58 68 1.1% 0
BATOS – 2,787 2,486 82.1 34 0.5% 0
BEICA DE JOS – 3,119 3,458 45.37 69 0.5% 0
BERENI – 1,244 1,322 40.38 31 0.2% 0
BICHIS – 506 439 46.29 11 0.1% 0
BOGATA – 2,905 3,182 30.29 96 0.5% 0
BRANCOVENESTI – 918 763 35.62 26 0.2% 0
BRANCOVENESTI – 4,712 4,623 51.5 91 0.8% 0
BREAZA – 2,514 2,312 41.52 61 0.4% 0
CEUASU DE CAMPIE – 4,823 5,153 82.93 58 0.8% 0
CHETANI – 3,845 3,921 57.73 67 0.7% 0
CHIBED – 1,604 1,680 37.55 43 0.3% 0
CHIHERU DE JOS – 1,622 1,718 115.45 14 0.3% 0
COROISANMARTIN – 1,484 1,234 27.18 55 0.3% 0
CORUNCA – 5,392 9,861 17.17 314 0.9% 0
COZMA – 156 127 29.47 5 0% 0
CRACIUNESTI – 3,859 3,835 48.28 80 0.7% 0
CRAIESTI – 807 1,065 23.45 34 0.1% 0
CRISTESTI – 1,417 1,484 13.07 108 0.2% 0
CUCERDEA – 872 813 35.86 24 0.2% 0
CUCI – 2,847 2,442 41.93 68 0.5% 0
DANES – 7,492 7,570 114.46 65 1.3% 0
DEDA – 3,253 3,281 77.38 42 0.6% 0
EREMITU – 3,948 4,348 82.72 48 0.7% 0
ERNEI – 6,265 6,150 67.22 93 1.1% 0
FANTANELE – 3,224 3,595 64.09 50 0.6% 0
FARAGAU – 1,751 1,775 39.8 44 0.3% 0
GALESTI – 1,970 1,173 56.88 35 0.3% 0
GANESTI – 7,131 7,264 49.49 144 1.3% 0
GHEORGHE DOJA – 7,371 8,193 37.59 196 1.3% 0
GHINDARI – 3,563 3,411 80.15 44 0.6% 0
GLODENI – 4,483 4,496 54 83 0.8% 0
GORNESTI – 3,217 3,075 85.15 38 0.6% 0
GREBENISU DE CAMPIE – 1,012 923 27.89 36 0.2% 0
GURGHIU – 5,204 4,760 125.69 41 0.9% 0
HODAC – 8,238 8,019 97.67 84 1.4% 0
HODOSA – 1,718 1,576 39.67 43 0.3% 0
IBANESTI – 1,442 1,379 312.01 5 0.3% 0
ICLANZEL – 2,438 2,177 61.36 40 0.4% 0
IDECIU DE JOS – 1,656 1,640 42.35 39 0.3% 0
IERNUT – 8,598 8,828 106.07 81 1.5% 0
LIVEZENI – 710 983 24.86 29 0.1% 0
LUDUS – 13,085 12,186 64.77 202 2.3% 0
LUNCA – 2,589 1,862 81.88 32 0.5% 0
LUNCA BRADULUI – 1,367 1,304 309.52 4 0.2% 0
MADARAS – 1,793 1,947 23.13 78 0.3% 0
MAGHERANI – 1,012 1,130 57.92 17 0.2% 0
MICA – 4,434 4,727 63.62 70 0.8% 0
MIERCUREA NIRAJULUI – 6,106 5,826 55.68 110 1.1% 0
MIHESU DE CAMPIE – 2,554 2,171 53.39 48 0.4% 0
NADES – 1,958 2,579 68.55 29 0.3% 0
NEAUA – 844 734 39.89 21 0.1% 0
OGRA – 3,070 3,378 50.37 61 0.5% 0
PANET – 10,229 10,449 72.23 142 1.8% 0
PAPIU ILARIAN – 398 329 26.15 15 0.1% 0
PASARENI – 1,606 1,400 30.38 53 0.3% 0
PETELEA – 2,201 2,411 43.67 50 0.4% 0
POGACEAUA – 2,565 2,191 37.68 68 0.5% 0
RACIU – 2,875 3,610 73.03 39 0.5% 0
RASTOLITA – 4,166 2,020 265.21 16 0.7% 0
REGHIN – 33,664 29,236 55.64 605 5.9% 0
RUSII-MUNTI – 3,228 2,462 42.53 76 0.6% 0
SANCRAIU DE MURES – 14,307 20,539 20.56 696 2.5% 0
SANGEORGIU DE MURES – 34,602 33,993 28.61 1,209 6.1% 0
SANGEORGIU DE PADURE – 5,641 5,926 71 79 1% 0
SANGER – 2,217 1,951 51.28 43 0.4% 0
SANPAUL – 2,926 3,419 55.04 53 0.5% 0
SANPETRU DE CAMPIE – 3,376 2,922 63.78 53 0.6% 0
SANTANA DE MURES – 4,467 6,414 6.42 696 0.8% 0
SANTANA DE MURES – 607 528 19.58 31 0.1% 0
SARATENI – 1,604 1,736 36.83 44 0.3% 0
SARMASU – 7,442 6,855 76.02 98 1.3% 0
SASCHIZ – 2,443 2,698 97.71 25 0.4% 0
SAULIA – 2,013 1,977 26.44 76 0.4% 0
SIGHISOARA – 29,459 23,751 95.88 307 5.2% 0
SINCAI – 1,395 1,675 34.06 41 0.2% 0
SOLOVASTRU – 2,408 3,024 29.84 81 0.4% 0
SOVATA – 9,713 9,433 159.08 61 1.7% 0
STANCENI – 2,010 1,452 124.06 16 0.4% 0
SUPLAC – 1,300 1,130 48.68 27 0.2% 0
SUSENI – 2,518 2,635 30.71 82 0.4% 0
TARGU MURES – 122,238 104,974 49.27 2,481 21.5% 0
TARNAVENI – 17,838 15,575 60.36 296 3.1% 0
TAURENI – 924 882 20.47 45 0.2% 0
UNGHENI – 3,835 3,853 63.28 61 0.7% 0
VALEA LARGA – 3,249 2,986 33.46 97 0.6% 0
VANATORI – 2,717 3,213 111.83 24 0.5% 0
VARGATA – 1,809 1,575 39.79 45 0.3% 0
VATAVA – 1,539 1,316 168.37 9 0.3% 0
VETCA – 1,624 1,372 37.56 43 0.3% 0
VIISOARA – 856 1,016 66.86 13 0.2% 0
VOIVODENI – 1,459 1,271 34.06 43 0.3% 0
ZAGAR – 3,010 2,575 39.05 77 0.5% 0
ZAU DE CAMPIE – 3,409 3,345 50.01 68 0.6% 0
04Ukuchaphazeleka

Open exposure layers

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

Urban areas
122.4 H3 cells
Ports
None at this resolution
Airports
None at this resolution
Major roads
523.1 H3 cells
Railways
709.5 H3 cells
Rivers and lakes
151.9 H3 cells
05Umngcipheko

Risk values

Values when released. Subnational risk values for MURES publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Romania.
06Neighbours

Neighbouring units

07Imithombo

Sources, credits and licences

ADM1 boundaries
geoBoundaries (William & Mary geoLab), gbOpen ROU ADM1, source: World Bank, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · source · represents 2017
ADM2 boundaries
geoBoundaries (William & Mary geoLab), gbOpen ROU ADM2, source: Agentia Nationala de Cadastru si Publicitate Imobiliara, licence: Creative Commons Attribution 4.0 International (CC BY 4.0) · source · represents 2016
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.
Amazwe
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.