01Overview
China enters 2027 with 1,404.89 million people, a population that fell by 3.39 million in 2025 and in which 15.9% are aged 65 or over [1]. The climate is moving visibly: 2025 tied 2024 as the warmest year since 1951 at 10.9 °C, the national average of hot days was the highest since 1961, and the rainy season in North China set records for both rainfall and duration [3]. Meteorological disasters left 628 people dead or missing and cost 231.78 billion yuan in 2025, fewer than the 2015 to 2024 average [3], yet the 2021 Henan flood, with 398 people dead or missing, shows what one extreme event can do on a dense plain [14]. Coal still supplied 54.8% of electricity in 2025, while wind and solar supplied 21.9% and reached about 1,842 GW of capacity [1] [4]. Emissions excluding land use were 15,536 Mt CO₂e in 2024 in the EDGAR database, and the 2035 contribution aims for net emissions 7 to 10% below peak levels, a peak year that has not yet been established [9] [12] [13]. Grain output was 714.88 million tonnes in 2025 [1], and protected areas covered 15.6% of land [7]. This Baseline Edition fixes the reference state for China’s water, energy, food, health and biodiversity systems, maps the couplings through which heat, flood, seismic and supply shocks travel, and sets the questions the first operational edition will answer with Foundry evidence in Q1 2027. Series that were not retrieved by evidence close, among them national water use, heat deaths, insurance cover and soybean imports, appear as designed empty states, not estimates. It ranks nothing and decides nothing.
02At a glance
- population, end-2025
- 1,404.89 million
- aged 65 or over, 2025
- 15.9 %
- emissions excl. land use, 2024
- 15,536 Mt CO₂e
- coal share of electricity, 2025
- 54.8 %
- net energy imports as share of energy use, 2024
- 24.0 %
- provincial-level on the mainland
- 31 units
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 | About 1,990 m³ of renewable freshwater per person; rain is uneven in space and time; floods and scarcity coexist. | WAT → HLT · WAT ↔ INF | Reported | 3 |
| ENE | Coal 54.8% of electricity; wind and solar fast-growing at 21.9%. | ENE ← TRD · ENE → all | Reported | 5 |
| FOO | Grain output 714.88 million t; cereal imports forecast well below average. | FOO ← TRD, ENE | Reported | 4 |
| HLT | Life expectancy 78.0 years; population 15.9% aged 65 or over and shrinking. | HLT ← CLI | Reported | 4 |
| BIO | Protected land 15.6%, protected waters 4.8%, forest 24.0% of land. | BIO ↔ WAT, FOO | Reported | 3 |
| CLI | Warmest year on record tied in 2025; record hot days; record North China rain season. | forcing on all systems | Reported | 5 |
| INF | Dense networks and underground spaces; failures in flood events documented. | INF → all | Reported | 3 |
| FIN | Disaster loss 231.78 billion yuan in 2025; insured share not bound. | FIN ← SEI, CLI | Reported | 2 |
| DAT | Digital dependencies of lifelines not mapped at public-safe resolution. | DAT → ENE, FIN | Expert input | 2 |
| AIC | Data-centre and compute demand adds power and cooling load; not bound. | AIC → ENE, WAT | Expert input | 2 |
| MIN | Critical-mineral dependencies not bound in this edition. | MIN ← TRD | Expert input | 2 |
| TRD | Net energy imports 24.0% of energy use; food 8.0% of merchandise imports. | TRD → all | Reported | 4 |
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 | compound heat, flood and demographic stress | extreme rain on a dense plain | PARTIAL |
| GS-01 | Water | about 1,990 m³ per person [8] | floods; basin imbalance | PARTIAL |
| GS-02 | Energy | coal 54.8% of electricity [4] | peak heat demand | GOOD |
| GS-03 | Food | grain 714.88 million t [1] | autumn rain; import shocks [11] | GOOD |
| GS-04 | Health | ageing; population 15.9% aged 65+ [1] | heat surge; care continuity | PARTIAL |
| GS-05 | Finance | disaster loss 231.78 billion yuan [3] | protection gap not bound | THIN |
| GS-06 | Development | urbanisation 67.89% [1] | service load in large cities | PARTIAL |
| GS-07 | Climate | warmest year tied, 2025 [3] | heat and heavy rain | GOOD |
| GS-08 | Disaster | monthly national disaster statistics published [16] | floods, typhoons, earthquakes | PARTIAL |
| GS-09 | Infrastructure | underground spaces flooded in 2021 [14] | flood and heat stress | PARTIAL |
| GS-10 | Cities | dense metropolitan regions | urban flooding and heat | PARTIAL |
| GS-11 | Biodiversity | protected land 15.6% [7] | condition not bound | THIN |
| GS-12 | Earth observation | national climate monitoring bulletin [3] | continuity | GOOD |
| GS-13 | Cyber and digital | dependencies not yet mapped | systemic outages | THIN |
| GS-14 | Policy | Emergency Response Law revised 2025 [26] | coordination across levels | PARTIAL |
| GS-15 | Science | peer-reviewed national research [31] [32] | translation to provinces | PARTIAL |
06System couplings
The China 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.
Record heat and hot-day extremes
Extreme rain and river flooding
- Driver
- more intense rainfall and long rainy seasons [3]
- Exposure
- dense plains, reservoirs and underground spaces [14]
- Vulnerability
- drainage and reservoir condition not bound
- Capacity
- red rainstorm warnings issued in 2021 [14]
- Cascade
- CLI → WAT → INF, HLT
- Horizon
- annual
Strong earthquakes on the plateau and in basins
- Driver
- continental collision tectonics
- Exposure
- Dingri 2025: 126 deaths by the evening of the event [15]
- Vulnerability
- building condition by province not bound
- Capacity
- not bound: seismic code and response records
- Cascade
- SEI → INF, HLT
- Horizon
- 30 years
Coal-led power under rising demand and import exposure
- Driver
- demand growth and heat peaks
- Exposure
- power, industry, households
- Capacity
- 1,842 GW of wind and solar installed [1]
- Cascade
- ENE → WAT, HLT, FOO
- Horizon
- 1 to 5 years
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 | Not bound | source: building, flood-control and land-use registers · blocker: not retrieved by evidence close |
| Monitoring and observation | Exists | national climate monitoring and an annual climate bulletin are published [3] |
| Early warning | Exists | red rainstorm warnings were issued before the Zhengzhou rain; the investigation found response gaps [14] |
| Preparedness and planning | Listed | the Emergency Response Law was revised in 2025; use in practice not bound [26] |
| Redundancy and reserves | Not bound | source: grain and water reserve data · blocker: not published in bound form |
| Response | Not bound | source: Ministry of Emergency Management response records · blocker: not retrieved |
| Continuity of critical services | Not bound | source: utility restoration records · blocker: not retrieved |
| Recovery | Not bound | source: provincial reconstruction records after the 2021 flood · blocker: not retrieved |
| Adaptation | Listed | the National Climate Change Adaptation Strategy 2035 exists; delivery not bound [29] |
| Social protection | Not bound | source: social-insurance registers · blocker: not reviewed |
| Finance and insurance | Not bound | source: National Financial Regulatory Administration insurance statistics · blocker: not retrieved |
| Institutional coordination | Exists | monthly national natural disaster releases are published by the Ministry of Emergency Management [16] |
| Technical infrastructure | Exists | about 3,891 GW of installed power capacity, 1,842 GW of it wind and solar [1] |
| Workforce | Not bound | source: emergency and health workforce statistics · blocker: not reviewed |
| Research capacity | Listed | peer-reviewed national climate, heat and water studies exist [31] [32] [35] |
09Scenario
Extreme rain on a dense plain in a hot summer. A conditional statement under stated assumptions, never a prediction.
| Assumption | Setting |
|---|---|
| Baseline | the 2026 reference state in this edition |
| Drivers | a one-hour rainfall of about 200 mm and a one-day total near the local annual mean over a dense plain city, after a record-hot spell |
| Analogues | Henan 2021 [14]; North China rainy season 2025 [3] |
| 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 China’s risk: heat and rain extremes are rising, loss builds fast on dense plains, and an older population changes who is exposed. Evidence is strongest for climate monitoring, electricity and population, and weakest for water use, heat deaths and insurance cover.
Public Meaning
For most people risk arrives as a heat warning, a rainstorm alert or a flooded street. The baseline asks that public debate weigh how a smaller, older population changes who can evacuate, who can respond and how fast places recover.
Capital Meaning
Readiness implications only. Direct disaster loss was 231.78 billion yuan in 2025 and the insured share is not bound. These show where finance-readiness evidence will matter. Nothing here is advice, a rating or an approval.
Synthesis
China has deep monitoring and statistics and thinner public evidence on keeping water, power and care running for weeks. The 2027 programme should map flood and lifeline dependencies, test the Henan pattern at wider scale, and measure heat and import exposure.
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-CHN-WAT-01 | Flood and lifeline continuity on dense plains | Initiative | A-01 | Proposed |
| INI-CHN-CLI-02 | Heat, power and care surge | Initiative | A-02 | Proposed |
| INI-CHN-ENE-03 | Power mix and coal transition pace | Initiative | A-03 | Proposed |
| INI-CHN-FOO-04 | Grain, soybean and feed import exposure | Initiative | A-04 | Proposed |
| INI-CHN-FIN-05 | Disaster protection gap | Initiative | A-05 | Proposed |
| PRJ-CHN-WAT-01a | Two-province flood and lifeline dependency graph | Project | A-01 | Proposed |
| MSN-CHN-2027-01 | Flood, lifeline and health 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 extreme rain on a dense plain cut roads, underground transport, water and care together, and how long would recovery take?
- A-02
How much heat-health surge capacity and power margin exist in a record-hot summer?
- A-03
How fast can wind, solar and other non-fossil supply displace coal, and what does the 2035 aim imply year by year?
- A-04
How concentrated are soybean, feed and cereal imports, by commodity and origin?
- A-05
Where do flood, typhoon and drought losses fall, and who insures them?
- A-06
How do reservoirs and levees perform under more intense rainfall?
- A-07
How resilient are data-centre and manufacturing clusters to flood, heat and power constraints?
- A-08
Which capabilities have been tested in real disasters, and which are only planned?
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
Reports
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 |
| Seismic | 1 | Reported | plateau and basin earthquake exposure |
| Energy | 2 | Reported | coal-led power and fuel imports |
| Water | 1 | Reported | national use and storage by basin |
| Food | 1 | Reported | feed and soybean import concentration |
| Health and population | 1 | Reported | heat illness and care for an older population |
| Biodiversity | 1 | Reported | condition outside protected areas |
| Finance and trade | 1 | Reported | insurance cover for disaster losses |
| Cross-system | 1 | Expert input | flood, lifeline and health compound test |
15Sources
46 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). China: country profile. In China 2026 [Draft under review]. GCRI for the Nexus Consortium.
