01Overview
France enters 2027 having cut its territorial emissions to 369 Mt CO₂e in 2024, 32% below 1990, but at a pace the High Council for the Climate judges too slow for the 2030 target of 270 Mt [1] [3] [40]. Its electricity is about 95% low-carbon and the country exported a record volume of power in 2024 [7], yet the same nuclear fleet showed its exposure in 2022, when corrosion repairs and heat-limited cooling cut output to its lowest level since 1988 [25]. 2022 was the warmest year on record in metropolitan France [8], and heat caused more than 3,700 deaths in summer 2024, three quarters of them among people aged 75 and over [4]. About 10.4 million detached houses are exposed to clay shrink-swell subsidence [21] and 17.1 million residents to river flooding [22]. France produces nearly a fifth of the EU’s agricultural output [23], while farmland birds have declined by about 30% since 1989 [18]. This Baseline Edition fixes the reference state for the five core systems, maps the dependencies through which shocks travel, and sets the questions the first operational edition will answer in Q1 2027. It ranks nothing and decides nothing.
02At a glance
- population, 1 January 2025
- 68.6 million
- emissions, 2024
- 369 Mt CO₂e
- low-carbon electricity, 2024
- ≈95 %
- of EU agricultural output
- ≈18 %
- carbon footprint per person, 2023
- 9.4 t CO₂e
- residents exposed to river flooding
- 17.1 million
03Key findings
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04Domain reading
Each of the twelve coupled domains is read in words, not scored. The coupling column names the dependency that carries risk into other systems.
| System | Reading | Coupling | Status | Quality |
|---|---|---|---|---|
| WAT | Low summer flows shared by irrigation, cooling and drinking water; 17.1 million residents exposed to river flooding. | WAT → ENE · WAT → FOO | Reported | 3 |
| ENE | About 95% low-carbon electricity; nuclear output exposed to heat and low flows. | ENE ← WAT · ENE → HLT | Reported | 4 |
| FOO | The EU’s largest agricultural producer; harvests cut in hot, dry years. | FOO ← WAT, CLI | Reported | 4 |
| HLT | More than 3,700 heat deaths in summer 2024; older people most exposed. | HLT ← CLI, ENE | Reported | 4 |
| BIO | Farmland birds down about 30% since 1989; wildfire reaching new regions. | BIO → FOO pollination | Reported | 4 |
| CLI | 2022 the warmest year on record; planning for +4 °C by 2100. | forcing on all five systems | Reported | 5 |
| INF | Rail, roads and networks exposed to heat, floods and clay movement. | INF ← CLI, WAT | Inferred | 3 |
| FIN | CatNat regime since 1982; claims rising with drought subsidence. | FIN ← CLI · FIN → households | Reported | 4 |
| DAT | Data-centre growth near major cities adds grid and cooling demand. | DAT ← ENE, WAT | Inferred | 2 |
| AIC | Low-carbon power attracts compute; national figures not consolidated. | AIC → ENE | Expert input | 2 |
| MIN | Import reliance for transition minerals. | MIN → ENE transition | Inferred | 2 |
| TRD | Electricity exports and food exports link France to its neighbours. | TRD ↔ ENE, FOO | Reported | 3 |
05Sector screen
All sixteen sectors are screened on the same grammar, so that later editions can say what changed. The evidence column describes coverage of the baseline evidence, not the performance of the sector.
| Code | Sector | Baseline evidence | Exposure | Coverage |
|---|---|---|---|---|
| GS-00 | Cross-system | coupled heat–drought–energy summers [8] [25] | compound hot, dry summers | PARTIAL |
| GS-01 | Water | low flows shared by three uses [12] | drought; floods | GOOD |
| GS-02 | Energy | about 95% low-carbon power [7] | cooling limits in heat | GOOD |
| GS-03 | Food | largest EU agricultural producer [23] | drought and heat on harvests | GOOD |
| GS-04 | Health | 3,700+ heat deaths, 2024 [4] | heat among older people | GOOD |
| GS-05 | Finance | CatNat regime [14] [15] | subsidence and flood claims | GOOD |
| GS-06 | Development | overseas service gaps | cyclones and water supply | THIN |
| GS-07 | Climate | warmest year 2022 [8] | heat, drought, Mediterranean storms | GOOD |
| GS-08 | Disaster | Cyclone Chido, Mayotte, 2024 [26] | overseas and metropolitan extremes | PARTIAL |
| GS-09 | Infrastructure | networks exposed to heat and clay movement | rail and road disruption | PARTIAL |
| GS-10 | Cities | urban heat islands | heat in dense cities | PARTIAL |
| GS-11 | Biodiversity | farmland birds −30% [18] | habitat loss; wildfire | GOOD |
| GS-12 | Earth observation | strong national and European monitoring | data integration | PARTIAL |
| GS-13 | Cyber and digital | data-centre growth | outages and attacks | THIN |
| GS-14 | Policy | climate, energy and adaptation laws [9] [16] [17] | implementation pace [3] | GOOD |
| GS-15 | Science | deep research base | translation into operations | THIN |
06System couplings
The France matrix types the twenty couplings between the five core systems. 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 | Strength | Carried by |
|---|---|---|
| WAT to ENE | Strong | nuclear cooling · hydro |
| WAT to FOO | Strong | irrigation · rain-fed yield |
| WAT to HLT | Moderate | drinking water |
| WAT to BIO | Strong | flows · wetlands |
| ENE to WAT | Moderate | pumping · treatment |
| ENE to FOO | Strong | fuel · fertiliser · cold chain |
| ENE to HLT | Strong | facility power · cooling |
| ENE to BIO | Moderate | reservoirs · land use |
| FOO to WAT | Moderate | withdrawals · nutrients |
| FOO to ENE | Weak | biofuel feedstock |
| FOO to HLT | Strong | nutrition · food safety |
| FOO to BIO | Strong | land conversion |
| HLT to WAT | Weak | workforce |
| HLT to ENE | Weak | workforce |
| HLT to FOO | Moderate | labour · disease |
| HLT to BIO | Weak | residues |
| BIO to WAT | Strong | regulation · filtration |
| BIO to ENE | Moderate | fire on lines · biomass |
| BIO to FOO | Strong | pollination · soils |
| BIO to HLT | Moderate | zoonoses · smoke |
07Risk objects
Four risk objects open the portfolio. Order carries no rank. Each is read across driver, exposure, vulnerability, capacity, cascade and consequence.
Extreme heat
- Driver
- heatwaves above 40 °C; tropical nights
- Exposure
- people aged 75 and over; dense cities
- Vulnerability
- isolation; housing without cooling
- Capacity
- heat-health alerts; national heatwave plan
- Cascade
- CLI → HLT · CLI → ENE cooling demand
- Horizon
- seasonal
Drought and low river flows
- Driver
- dry winters; hot summers
- Exposure
- nuclear cooling, irrigation, drinking water
- Vulnerability
- three uses sharing the same low flows
- Capacity
- water restrictions; Plan Eau [11]
- Cascade
- WAT → ENE, FOO, HLT
- Horizon
- seasonal · 5 years
Clay shrink-swell subsidence
River and Mediterranean flash flooding
- Driver
- intense autumn storms; river floods
- Exposure
- 17.1 million residents [22]
- Vulnerability
- building in flood-prone areas
- Capacity
- flood forecasting; risk-prevention plans
- Cascade
- CLI → INF, HLT, FIN
- Horizon
- annual
08Capability ladder
Existence is not readiness. Each of the fifteen capability functions is placed on the ladder by the strongest public evidence at baseline.
| Function | Level | Evidence |
|---|---|---|
| Prevention and mitigation | Exists | risk-prevention plans and land-use rules; adaptation pace questioned [3] |
| Monitoring and observation | Demonstrated | Météo-France and national monitoring in continuous use |
| Early warning | Demonstrated | weather, flood and heatwave vigilance in real events |
| Preparedness and planning | Exists | third national adaptation plan [9]; reference warming trajectory [10] |
| Redundancy and reserves | Exists | interconnected grid; limited water storage |
| Response | Demonstrated | civil-protection response to fires, floods and cyclones |
| Continuity of critical services | Exists | energy and water continuity plans; 2022 showed cooling limits [25] |
| Recovery | Exists | CatNat compensation since 1982 [15] |
| Adaptation | Exists | PNACC-3 measures adopted in 2025 [9] |
| Social protection | Exists | social support and heatwave registers for isolated people |
| Finance and insurance | Demonstrated | CatNat regime paying claims in real events [14] |
| Institutional coordination | Exists | State, regional and local crisis structures |
| Technical infrastructure | Exists | networks exposed to heat and ground movement |
| Workforce | Exists | health and care workforce pressures documented |
| Research capacity | Adequate | strong climate, energy and agronomic science |
09Scenario
Hot, dry summer with low river flows. A conditional statement under stated assumptions, never a prediction.
| Assumption | Setting |
|---|---|
| Baseline | the 2026 reference state in this edition |
| Drivers | a dry winter and spring; repeated heatwaves above 40 °C in July and August; low flows on the Rhône, Loire and Garonne |
| Analogues | summers 2003 [39], 2019 and 2022 [8] [25] |
| Interventions | none modelled, the specification describes the unmitigated case |
| Run state | narrative specification; quantified Foundry run scheduled for Q1 2027 |
10Lenses
The baseline is read through each steward’s lens, then once as a whole. Each lens is a projection of reviewed findings, not a separate argument.
Technical Truth
The evidence supports a coupled reading of French risk. Heat, drought and low flows already constrain electricity, harvests and health; flood and subsidence losses fall on a shared insurance regime. Evidence is strongest for emissions, heat mortality and power output, and weakest for overseas exposure and cross-system dependencies.
Public Meaning
For most people risk arrives as a heatwave, a cracked wall or a water restriction. The baseline asks that these be read as one system, and that public debate weigh how the CatNat regime shares costs as claims rise.
Capital Meaning
Readiness implications only. A national catastrophe regime under rising claims [14], a low-carbon grid exposed to cooling limits [25] and a slowing emissions trend [3] show where finance-readiness evidence will matter. Nothing here is advice, a rating or an approval.
Synthesis
France has a low-carbon power system and strong institutions, but its systems share the same summer rivers. The 2027 programme should test the hot, dry summer pathway, measure CatNat exposure by peril and region, and map water allocation in the main basins.
11Portfolio
Five initiatives and one Universe mission candidate are proposed for admission at the Q1 2027 alignment. They are programme objects, no partner, funder or member is attached to them in this edition.
| Code | Object | Kind | Answers | Status |
|---|---|---|---|---|
| INI-FRA-HDN-01 | Heat–drought–nuclear summer dependency model | Initiative | A-01 | Proposed |
| INI-FRA-FIN-02 | CatNat exposure by peril and region | Initiative | A-02 | Proposed |
| INI-FRA-WAT-03 | Basin water allocation under drought | Initiative | A-03 | Proposed |
| INI-FRA-HLT-04 | Heat surge readiness for older people | Initiative | A-04 | Proposed |
| INI-FRA-CLI-05 | Wildfire expansion | Initiative | A-05 | Proposed |
| MSN-FRA-2027-01 | Hot, dry summer Universe mission | Mission | A-01 | Candidate |
122027 agenda
Eight bounded questions open the 2027 National Agenda. Each comes from a baseline finding, names the initiative that will carry it and the first output due at the Q1 2027 cut.
- A-01
How would a hot, dry summer with low river flows constrain nuclear and hydro output while heat and drought load health services and harvests?
- A-02
How sustainable is the CatNat regime as drought subsidence, floods and hail claims grow?
- A-03
How should water be shared between irrigation, cooling and drinking water in dry summers?
- A-04
What heat surge capacity exists for people aged 75 and over, at home and in care?
- A-05
How far north and west is wildfire risk spreading, and which communities are newly exposed?
- A-06
How exposed are the overseas territories to cyclones, water shortage and supply disruption?
- A-07
How are farmland habitats and pollination changing, and what does that mean for yields?
- A-08
Which capabilities have been tested in real events, and which are only documented?
13Coupled risk, applied response
Illustrative Structure only. The strengths fill in when real NXS-GRX (canonical data, provenance and risk) cuts exist.
No relation strengths yet.
Cells read no cut. No strength is drawn or implied.
No value to show. Source: Index (NXS-GRX) public API, series and relation classes. Blocker: The Index publishes no value until an edition is released from a governed evidence cut.
Risk: 6 sectors, 15 relations
| Sector | Water | Energy | Infrastructure | Food | Health | Biodiversity |
|---|---|---|---|---|---|---|
| Water | · | no cut | no cut | no cut | no cut | no cut |
| Energy | See Water to Energy | · | no cut | no cut | no cut | no cut |
| Infrastructure | See Water to Infrastructure | See Energy to Infrastructure | · | no cut | no cut | no cut |
| Food | See Water to Food | See Energy to Food | See Infrastructure to Food | · | no cut | no cut |
| Health | See Water to Health | See Energy to Health | See Infrastructure to Health | See Food to Health | · | no cut |
| Biodiversity | See Water to Biodiversity | See Energy to Biodiversity | See Infrastructure to Biodiversity | See Food to Biodiversity | See Health to Biodiversity | · |
Response: 6 pillars
Labs
Explore, experiment and prototype
Foundry
Build, simulate and prepare
Universe
Convene and test
Codify, correct and apply
Publish in every format
Risk Academy
Teach in the open
14Evidence by system
| System | Findings | Status | Basis |
|---|---|---|---|
| Climate · forcing | 3 | Reported | regional heat and rainfall extremes |
| Energy | 2 | Reported | cooling constraints under heat and drought |
| Health | 1 | Reported | heat surge capacity for older people |
| Food | 1 | Reported | harvest losses in hot, dry years |
| Water | 1 | Reported | basin allocation under drought |
| Finance · insurance | 2 | Reported | CatNat sustainability |
| Biodiversity | 1 | Reported | farmland habitat condition |
| Cross-system | 1 | Expert input | hot, dry summer test |
15Sources
40 numbered sources, editor first. Open the reference list and the data appendix.
16Cite, corrections and licence
The full citation, BibTeX and RIS are on the edition page. Corrections go through the gateway and are logged in Annex C. Text is CC BY 4.0.
Cite
Saeed Valadbaygi, Chief Steward and Managing Editor, the Global Centre for Risk and Innovation (GCRI) (Ed.). (2026). France: country profile. In France 2026 [Draft under review]. GCRI for the Nexus Consortium.
