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Argentina 2026

Argentine

Argentina (República Argentina) enters 2027 with 46.2 million residents, an ageing index that rose from 40 to 53 people aged 65 or over per 100 children in twelve years, and a poverty rate that INDEC put at 32.3% of people in the first half of 2026, up from 28.2% in the second half of 2025. Its risks come from water and from fuel.

Constats
12
each with its status and source
Sectors with findings
5 of 6
Infrastructure not assessed
Risk objects
4
order carries no rank
Sources
47
Evidence close 30 September 2026

01 · Readings

Argentina in six readings.

Six readings that frame the Argentina baseline, and the eight questions this edition answers, each with its status and source.

  • 46.2millionpopulation, 2022 [1]
  • 53per 100people aged 65+ per 100 aged 0–14, 2022 [2]
  • 400.9MtCO₂einventory total incl. land use, 2022 [4]
  • 42%low-carbon share of electricity, 2025 [8]
  • 10.4%land protected, 2025 [21]
  • 32.3%people below the poverty line, H1 2026 [3]

02 · Sectors

Six sectors, one hexagon.

Water first, then Energy, Infrastructure, Food, Health and Biodiversity. Each count is the findings of this edition in that sector: coverage of the evidence, never a score. Infrastructure is not assessed: the edition holds no Infrastructure finding and its coupling matrix does not assess it.

  1. WATEau1 finding

    3 years Hydrological years with the largest negative Paraná flow anomalies in 118 years of record, 2022. Déclaré

    Large river basins; record low Paraná flows 2019–22; flash floods in coastal and Pampas cities.

  2. ENEÉnergie2 findings

    42% Low-carbon share of electricity generation, 2025. Déclaré

    Low-carbon share 42%; oil output at a record; gas and hydro balance in dry years not bound.

  3. INFinfrastructuresnot assessed

    River ports and grain logistics depend on Paraná depth; wider networks not mapped.

  4. FOOAlimentation1 finding

    −44% Change in the wheat harvest in the 2022–23 drought, 2023. Déclaré

    Major grain exporter; harvests swing with rainfall; wheat estimate record in 2025–26.

  5. HLTSanté1 finding

    Not bound Ministerio de Salud · blocker: no national total retrieved Heat-related deaths, national season total, n/a. Not bound

    Ageing index 53 per 100; dengue season low in 2025–26; chikungunya in the north-west.

  6. BIOBiodiversité1 finding

    10.4% Land in protected areas, 2025. Déclaré

    Protected land 10.4% and sea 8.5%; forest loss in the north reported by NGO survey.

Outside the six sectors: Climate forcing 4, Finance 1, Systemic 1.

03 · Hazard exposure

The hazards this edition reads.

The edition’s own risk objects, in its order, each read across driver, exposure, vulnerability, capacity, cascade and horizon. The hexagon marks the sectors the cascade reaches; the domain beside each is an editorial reading of its hazard words.

  • RSK-ARG-CLI-001

    Multi-year drought and low river flows

    DéclaréEQL 4

    Facteur
    déficit pluviométrique across the Pampas and the Paraná basin
    Exposition
    grain harvests, river ports, hydropower, public revenue
    Vulnérabilité
    export dependence; fiscal room under an IMF programme
    Capacité
    not bound at evidence close
    Cascade
    CLI → WAT → FOO, ENE, FIN, TRD
    Horizon
    1–5 years

    Systèmes d'eau

  • RSK-ARG-CLI-002

    Flash flood and storm in a port or river city

    DéclaréEQL 3

    Facteur
    extreme rainfall over urban catchments
    Exposition
    coastal and river cities, lifelines, homes
    Vulnérabilité
    drainage capacity; uninsured households
    Capacité
    national risk-management law exists [30]; drill records not bound
    Cascade
    CLI → WAT → INF, HLT, FIN
    Horizon
    annuel

    Systèmes d'eauAtmosphère et météo

  • RSK-ARG-BIO-003

    Large fire in wetlands, savanna or forest

    DéclaréEQL 3

    Facteur
    drought and ignition in dry vegetation
    Exposition
    Corrientes, the Paraná delta, northern forests
    Vulnérabilité
    dry peat and grass; remote response
    Capacité
    national fire management service reports [16]
    Cascade
    CLI → BIO → HLT, WAT
    Horizon
    seasonal

    Terres et écosystèmesSystèmes d'eau

  • RSK-ARG-HLT-004

    Heat and vector-borne disease load on health services

    InferredEQL 2

    Facteur
    hotter seasons and mosquito range
    Exposition
    north-west and north-east provinces, older adults
    Vulnérabilité
    ageing index 53 per 100 [2]
    Capacité
    epidemiological bulletin in weekly use [20]
    Cascade
    CLI → HLT → ENE peak
    Horizon
    seasonal

    Atmosphère et météo

Scenario · SCN-ARG-DRT-01

Multi-year drought with low Paraná flows

Under this scenario, results describe a conditional season under stated assumptions. It is not a forecast, and no intervention described here has been carried out.

4 of 12 findings name a hazard in their text. Show them

  1. 1CLI → WATrainfall deficit and low river levels
  2. 2WAT → FOOharvests fall; wheat fell 44% in 2022–23
  3. 3WAT → INFvessels load less cargo at river ports
  4. 4WAT → ENEhydropower falls; thermal generation fills the gap
  5. 5FOO → FINexport earnings and public revenue fall
  6. 6CLI → BIOdry vegetation burns in the north-east and the delta

04 · Couplings

How the sectors carry risk into each other.

The Argentina matrix types the twenty couplings between the five core systèmes. Strengths are Nexus estimates from the cited evidence and analogue events; they set the starting graph that the Q1 2027 Foundry cut will test.

Coupling matrix, from row to column
DeWATENEFOOHLTBIO
WAT·StrongStrongModéréeStrong
ENEModérée·StrongStrongModérée
FOOModéréeWeak·StrongStrong
HLTWeakWeakModérée·Weak
BIOStrongModéréeStrongModérée·

Water: 4 couplings out, 4 in; Energy: 4 couplings out, 4 in; Food: 4 couplings out, 4 in; Health: 4 couplings out, 4 in; Biodiversity: 4 couplings out, 4 in. Infrastructure is not in the coupling matrix: none of the edition matrices types it, so it carries no value.

Cascade paths, in the edition’s order

  1. CLI → WAT → FOOdrought and low river flows cut harvests and lift export logistics costsDéclaré
  2. CLI → WAT → INFrecord rain floods a port city and its lifelinesDéclaré
  3. CLI → BIOdry conditions feed large fires in wetlands and savannaDéclaré
  4. WAT → ENEdry years cut hydropower and raise reliance on thermal generationInferred
  5. FOO → FINa poor harvest cuts export earnings and public revenueInferred

05 · Findings

Every finding of Argentina.

Search, filter by sector, system or status, and sort. The address bar keeps the view, so a filtered list can be shared. Every row opens the finding at its source.

All 12 findings

Findings of Argentina
IDÉditionSector or systemStatutStatement
CLI-001ArgentineCLI Climate forcing DéclaréThe national inventory reports 400.9 MtCO₂e including land use for 2022, and 377.8 MtCO₂e net on the climate-contribution basis.
CLI-002ArgentineCLI Climate forcing DéclaréThe 2025 climate contribution sets a net ceiling of 375 MtCO₂e for 2030 and 2035, against 349 MtCO₂e for 2030 in the 2021 update.
ENE-003ArgentineENE Énergie DéclaréLow-carbon sources supplied 42% of electricity in 2025, and renewables including large hydro covered 40.2% of demand.
ENE-004ArgentineENE Énergie DéclaréCrude oil output reached 916,200 barrels a day in July 2026, up 17.2% year on year to June, led by shale in the Neuquén basin.
WAT-005ArgentineWAT Eau DéclaréThe 2019/20, 2020/21 and 2021/22 hydrological years had the largest negative Paraná flow anomalies in 118 years of record.
FOO-006ArgentineFOO Alimentation DéclaréThe 2022–23 drought cut the wheat harvest by 44% to 12.4 million tonnes and soybeans to 25 million tonnes; farm-sector losses were put at about US$33 billion.
CLI-007ArgentineCLI Climate forcing DéclaréA storm on 7 March 2025 dropped about 290 mm of rain in twelve hours on Bahía Blanca, against a previous record of 167.6 mm, and sixteen deaths were reported.
CLI-008ArgentineCLI Climate forcing DéclaréFires affected 723,765 hectares in 2022, more than twice the 2021 area, and satellite analysis put the Corrientes burn at about 1.04 million hectares.
HLT-009ArgentineHLT Santé DéclaréThe 2025–26 dengue season closed with about 70 confirmed cases against 27,178 suspected, while chikungunya reached 3,730 confirmed or probable cases, mostly in the north-west.
FIN-010ArgentineFIN Finance DéclaréPoverty was 32.3% of people in the first half of 2026, up 4.1 points on the second half of 2025, under a US$20 billion IMF programme.
BIO-011ArgentineBIO Biodiversité DéclaréProtected areas covered about 10.4% of land and 8.5% of the sea in 2025, and one NGO survey counted 94,204 hectares of native forest cleared in the north in 2025.
SYS-012ArgentineSYS Systémique Expert inputThe leading compound pathway for 2027 testing is a multi-year drought with low Paraná flows that cuts harvests, river exports, hydropower and public revenue together.

06 · Editions and calendar

The desks’ editions for Argentina.

The desks’ editions for Argentina
BureauÉditionÉtatIdentifiant
GCRI Systems EvidenceArgentina 2026Drafted, in stewardship reviewNR-COUNTRY-ARG-2026-BASELINE-v1.0.0
GRF Public DeliberationPublic Deliberation: Argentina 2026En préparation
GRA Capital ReadinessCapital Readiness: Argentina 2026En préparation
Standards ProgressNo edition in the 2026 Baseline cycleNot in this cycle
Academy CapabilityNo edition in the 2026 Baseline cycleNot in this cycle
Index MeasurementMeasurement: Argentina 2026En préparation

Calendar · 2026 Baseline

  1. 01Call opensset by the editor
  2. 02Contribution closeset by the editor
  3. 03Clôture des preuves30 September 2026
  4. 04Desk review and releaseset by the editor
  5. 05Collection compilationset by the editor
  6. 06Collection releaseset by the editor
  7. 07Rectificatifsafter release, as needed

Evidence cut NQ-ARG-2026-Q0-1. Next cycles: Q1 2027, Q2 2027, Q3 2027, Q4 2027; their dates are set by the editor.

07 · Take part

Read it, improve it, cite it.

Journal des corrections

Versions and corrections
VersionDateÉtatVariationNotice
NR-COUNTRY-ARG-2026-BASELINE-v1.0.0October 2026DRAFTBaseline Edition 2026, inaugural annual edition,aucun
Data gaps3What the repository does not hold yet, and the source proposed for each
Data gaps and proposed sources
ÉcartShown here asProposed source
Exposure values per hazard (people, assets, hectares)the edition’s own risk objects, without valuesthe Index country profile once the Index releases values, risksindex.com/arg/
The NHS-1 hazard types and their assignment to this edition’s risk objectsan editorial reading of the hazard wordsthe NHS-1 type assignment through the Registry
Infrastructure in the coupling matrixInfrastructure marked not assessedan Infrastructure row and column in the edition matrix at the next cut
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