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NXS-GRX-ARG · South America · Regions

Santa Fe

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

Ramani All 23 first-level units
Page GRX-ARG-REdition Baseline Edition 2026Evidence close 2026-09-30ISO ARG / ARHali UN member stateValues not yet publishedMethod v1.0.0-draft
3,419,371
people (GHSL 2025)
131,486 km²
area
8%
of Argentina
19
units inside

01Ramani

Inside Santa Fe

The 19 ADM2 units of Santa Fe.

FIG 1 · 19 units inside Santa Fe
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

3,419,371

8% of Argentina.

Watu · WorldPop 2025

3,297,082

-4% against GHSL; the two grids differ in method.

Area

131,486 km²

26 people per km².

Code

AR-S

Subdivision code as carried by the boundary source.

Ukanda wa pwani ulio chini

120,078

people on land at or below 10 m, 3.5% of the unit (GEBCO 2024 and GHSL 2025).

03Humanitarian data

Santa Fe 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 · 2021-12-31

3,563,390

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

04Units

19 units inside Santa Fe

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
9 de Julio – 33,114 31,352 17,326.62 2 0.9% 0
Belgrano – 49,651 49,394 2,443.23 20 1.4% 0
Caseros – 88,284 85,805 3,474.09 25 2.4% 0
Castellanos – 189,770 185,958 6,728.95 28 5.2% 0
Constitución – 98,927 102,230 3,226.76 31 2.7% 12,655
Garay – 23,544 25,866 4,062.43 6 0.6% 0
General López – 210,602 201,523 11,468.82 18 5.8% 0
General Obligado – 198,110 200,861 11,114.15 18 5.4% 0
Iriondo – 76,840 78,179 3,222.44 24 2.1% 0
La Capital – 632,417 565,094 2,979.79 212 17.4% 32,630
Las Colonias – 121,241 120,074 6,307.34 19 3.3% 0
Rosario – 1,323,942 1,222,982 1,867.57 709 36.4% 78,443
San Cristobal – 75,906 72,652 14,682.85 5 2.1% 0
San Javier – 33,870 33,531 6,701.12 5 0.9% 0
San Jerónimo – 84,906 79,798 4,439.63 19 2.3% 2,958
San Justo – 44,145 46,951 5,618.82 8 1.2% 0
San Lorenzo – 226,644 236,924 2,007.64 113 6.2% 26,138
San Martín – 70,338 69,291 4,935.28 14 1.9% 0
Vera – 55,608 56,566 20,766.25 3 1.5% 0
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
476.4 H3 cells
Bandari
None at this resolution
Viwanja vya ndege
None at this resolution
Major roads
2,039.7 H3 cells
Reli
2,936.1 H3 cells
Rivers and lakes
829.5 H3 cells
06Hatari

Risk values

Values when released. Subnational risk values for Santa Fe publish with the edition from The Global Risks Index. Until then, run a scenario on open data for Argentina.
Run a scenario Majanga Vielezo vya nyanja
07Neighbours

Neighbouring units

08Vyanzo

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

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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-SANTAFE