Santa Cruz
First-level unit, Argentina: people, area, the units inside and neighbours, with risk values when released.
Inside Santa Cruz
The 7 ADM2 units of Santa Cruz.
People, area and density
Source observations from open grids summed inside the boundary; not index values.
424,001
1% of Argentina.
314,963
-26% against GHSL; the two grids differ in method.
242,753 km²
2 people per km².
AR-Z
Subdivision code as carried by the boundary source.
37,820
people on land at or below 10 m, 8.9% of the unit (GEBCO 2024 and GHSL 2025).
Santa Cruz 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.
374,756
people. UNFPA · Creative Commons Attribution for Intergovernmental Organisations (CC BY-IGO).
7 units inside Santa Cruz
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 |
|---|---|---|---|---|---|---|---|
| Corpen Aike | – | 18,446 | 15,300 | 26,164.5 | 1 | 4.2% | 2,441 |
| Deseado | – | 176,603 | 122,655 | 62,959.48 | 3 | 40.3% | 4,937 |
| Güer Aike | – | 178,762 | 136,985 | 33,525.06 | 5 | 40.8% | 30,684 |
| Lago Argentino | – | 38,893 | 25,703 | 38,469.34 | 1 | 8.9% | 0 |
| Lago Buenos Aires | – | 14,329 | 12,880 | 28,458.64 | 1 | 3.3% | 0 |
| Magallanes | – | 2,290 | 2,370 | 20,262.38 | 0 | 0.5% | 461 |
| Río Chico | – | 8,698 | 5,870 | 33,863.24 | 0 | 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
- 638.2 H3 cells
- Bandari
- 3 H3 cells
- Viwanja vya ndege
- 2 H3 cells
- Major roads
- 4,555.7 H3 cells
- Reli
- 187.3 H3 cells
- Rivers and lakes
- 1,321.3 H3 cells
Risk values
Neighbouring units
- AR-UChubut
Sources, credits and licences
- ADM1 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen ARG ADM1, source: geoBoundaries, Wikimedia, licence: Creative Commons Attribution 2.5 Generic · source · represents 2006
- ADM2 boundaries
- geoBoundaries (William & Mary geoLab), gbOpen ARG ADM2, source: Instituto Geografico Nacional and UNHCR, 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.
- 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.
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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.
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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.
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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.
Page GRX-ARG-RG-SANTACRUZ