ALBA
First-level unit, Romania: people, area, the units inside and neighbours, with risk values when released.
Inside ALBA
The 78 ADM2 units of ALBA.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
329,066
1.7% of Romania.
323,634
-2% against GHSL; the two grids differ in method.
6,227 km²
53 people per km².
RO-AB
Subdivision code as carried by the boundary source.
78 units inside ALBA
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 |
|---|---|---|---|---|---|---|---|
| ABRUD | – | 5,521 | 4,363 | 39.45 | 140 | 1.7% | 0 |
| AIUD | – | 22,077 | 21,168 | 137.98 | 160 | 6.7% | 0 |
| ALBA IULIA | – | 63,207 | 65,892 | 102.27 | 618 | 19.2% | 0 |
| ALBAC | – | 1,774 | 1,568 | 53.18 | 33 | 0.5% | 0 |
| ALMASU MARE | – | 1,483 | 1,125 | 95.75 | 15 | 0.5% | 0 |
| ARIESENI | – | 1,646 | 1,312 | 99.44 | 17 | 0.5% | 0 |
| AVRAM IANCU | – | 1,249 | 899 | 96.07 | 13 | 0.4% | 0 |
| BAIA DE ARIES | – | 3,111 | 2,748 | 82.07 | 38 | 0.9% | 0 |
| BERGHIN | – | 1,308 | 1,260 | 75.28 | 17 | 0.4% | 0 |
| BISTRA | – | 3,351 | 3,370 | 126.53 | 26 | 1% | 0 |
| BLAJ | – | 19,766 | 17,392 | 98.54 | 201 | 6% | 0 |
| BLANDIANA | – | 825 | 684 | 74.4 | 11 | 0.3% | 0 |
| BUCERDEA GRANOASA | – | 276 | 197 | 41.6 | 7 | 0.1% | 0 |
| BUCIUM | – | 951 | 839 | 84.22 | 11 | 0.3% | 0 |
| CALNIC | – | 853 | 708 | 44.28 | 19 | 0.3% | 0 |
| CAMPENI | – | 8,225 | 7,713 | 87.94 | 94 | 2.5% | 0 |
| CENADE | – | 1,026 | 1,191 | 44.35 | 23 | 0.3% | 0 |
| CERGAU | – | 1,238 | 1,323 | 47.72 | 26 | 0.4% | 0 |
| CERU-BACAINTI | – | 232 | 188 | 46.98 | 5 | 0.1% | 0 |
| CETATEA DE BALTA | – | 1,703 | 1,857 | 64.34 | 26 | 0.5% | 0 |
| CIUGUD | – | 3,575 | 4,099 | 43.98 | 81 | 1.1% | 0 |
| CIURULEASA | – | 732 | 771 | 54.83 | 13 | 0.2% | 0 |
| CRACIUNELU DE JOS | – | 3,689 | 3,849 | 25.26 | 146 | 1.1% | 0 |
| CRICAU | – | 1,635 | 1,715 | 50.57 | 32 | 0.5% | 0 |
| CUGIR | – | 19,973 | 18,420 | 326.66 | 61 | 6.1% | 0 |
| CUT | – | 1,124 | 1,124 | 27.64 | 41 | 0.3% | 0 |
| DAIA ROMANA | – | 2,781 | 3,279 | 41.02 | 68 | 0.8% | 0 |
| DOSTAT | – | 688 | 766 | 43.16 | 16 | 0.2% | 0 |
| FARAU | – | 1,629 | 1,306 | 81.7 | 20 | 0.5% | 0 |
| GALDA DE JOS | – | 5,950 | 6,011 | 100.88 | 59 | 1.8% | 0 |
| GARBOVA | – | 2,880 | 3,151 | 57.72 | 50 | 0.9% | 0 |
| GARDA DE SUS | – | 1,671 | 1,242 | 77.8 | 21 | 0.5% | 0 |
| HOPARTA | – | 1,017 | 1,044 | 59.18 | 17 | 0.3% | 0 |
| HOREA | – | 1,692 | 1,260 | 58.49 | 29 | 0.5% | 0 |
| IGHIU | – | 6,061 | 7,120 | 129.31 | 47 | 1.8% | 0 |
| INTREGALDE | – | 671 | 479 | 82.03 | 8 | 0.2% | 0 |
| JIDVEI | – | 6,036 | 6,735 | 104.31 | 58 | 1.8% | 0 |
| LIVEZILE | – | 403 | 346 | 68.96 | 6 | 0.1% | 0 |
| LOPADEA NOUA | – | 2,150 | 1,815 | 92.63 | 23 | 0.7% | 0 |
| LUNCA MURESULUI | – | 2,316 | 2,424 | 31.55 | 73 | 0.7% | 0 |
| LUPSA | – | 2,962 | 2,815 | 120.93 | 24 | 0.9% | 0 |
| METES | – | 3,721 | 3,387 | 143.17 | 26 | 1.1% | 0 |
| MIHALT | – | 3,368 | 3,509 | 65.05 | 52 | 1% | 0 |
| MIRASLAU | – | 2,810 | 2,506 | 66.72 | 42 | 0.9% | 0 |
| MOGOS | – | 690 | 624 | 102.57 | 7 | 0.2% | 0 |
| NOSLAC | – | 1,936 | 1,739 | 51.75 | 37 | 0.6% | 0 |
| OCNA MURES | – | 12,778 | 12,921 | 67.43 | 190 | 3.9% | 0 |
| OCOLIS | – | 658 | 469 | 91.71 | 7 | 0.2% | 0 |
| OHABA | – | 1,084 | 759 | 40 | 27 | 0.3% | 0 |
| PIANU | – | 2,485 | 3,127 | 122.36 | 20 | 0.8% | 0 |
| POIANA VADULUI | – | 202 | 192 | 32.38 | 6 | 0.1% | 0 |
| PONOR | – | 459 | 415 | 51.22 | 9 | 0.1% | 0 |
| POSAGA | – | 1,196 | 849 | 133.29 | 9 | 0.4% | 0 |
| RADESTI | – | 1,540 | 1,612 | 33 | 47 | 0.5% | 0 |
| RAMET | – | 526 | 349 | 81.98 | 6 | 0.2% | 0 |
| RAMETEA | – | 1,221 | 1,104 | 56.35 | 22 | 0.4% | 0 |
| ROSIA DE SECAS | – | 1,091 | 1,062 | 52.21 | 21 | 0.3% | 0 |
| ROSIA MONTANA | – | 3,120 | 2,833 | 42.59 | 73 | 0.9% | 0 |
| SALCIUA | – | 1,055 | 1,025 | 78.84 | 13 | 0.3% | 0 |
| SALISTEA | – | 1,327 | 1,228 | 59.92 | 22 | 0.4% | 0 |
| SANCEL | – | 2,858 | 2,595 | 51.89 | 55 | 0.9% | 0 |
| SANTIMBRU | – | 2,475 | 2,518 | 44.63 | 55 | 0.8% | 0 |
| SASCIORI | – | 5,497 | 6,103 | 116.85 | 47 | 1.7% | 0 |
| SCARISOARA | – | 1,705 | 1,355 | 55.66 | 31 | 0.5% | 0 |
| SEBES | – | 26,034 | 26,304 | 113.43 | 230 | 7.9% | 0 |
| SIBOT | – | 2,474 | 2,640 | 43.67 | 57 | 0.8% | 0 |
| SOHODOL | – | 1,166 | 1,063 | 50.19 | 23 | 0.4% | 0 |
| SONA | – | 2,254 | 2,371 | 105.25 | 21 | 0.7% | 0 |
| SPRING | – | 2,334 | 2,232 | 87.96 | 27 | 0.7% | 0 |
| STREMT | – | 2,627 | 2,508 | 68.83 | 38 | 0.8% | 0 |
| SUGAG | – | 2,404 | 2,439 | 243.29 | 10 | 0.7% | 0 |
| TEIUS | – | 5,870 | 5,881 | 43.86 | 134 | 1.8% | 0 |
| UNIREA | – | 3,505 | 3,686 | 98.35 | 36 | 1.1% | 0 |
| VADU MOTILOR | – | 1,704 | 1,494 | 28.69 | 59 | 0.5% | 0 |
| VALEA LUNGA | – | 2,038 | 2,340 | 74.62 | 27 | 0.6% | 0 |
| VIDRA | – | 2,504 | 1,964 | 60.2 | 42 | 0.8% | 0 |
| VINTU DE JOS | – | 4,347 | 4,942 | 88.69 | 49 | 1.3% | 0 |
| ZLATNA | – | 6,541 | 5,920 | 266.34 | 25 | 2% | 0 |
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
- None at this resolution
- Reli
- None at this resolution
- Rivers and lakes
- None at this resolution
Risk values
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.
- 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
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.
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
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.