01Overview

Brazil (Brasil) enters 2027 with 214.2 million residents [1], an electricity system that was 86.8% renewable in 2025 [10] and a sharp fall in forest loss. Gross greenhouse-gas emissions fell 16.7% in 2024 to 2,145 Mt CO₂e, driven by lower deforestation, while net emissions of 1.49 Gt CO₂e remain above the 0.85 to 1.05 Gt range set for 2035 [8] [9]. The Amazon deforestation estimate for August 2024 to July 2025 was 5,796 km², 11.08% below the year before [11]. Water, drought and fire are the main stressors. The Negro River at Manaus reached record lows in 2023 and 2024 [21] [44], about 30 million hectares burned in 2024 [13], and the 2024 floods in Rio Grande do Sul affected about 2.4 million people, with effects estimated at R$88.9 billion [15] [16]. Hydropower fell 4.8% in 2025 while gas generation rose 22.7% [10]. Hunger has eased: Brazil stayed outside the FAO Hunger Map [7], and 23.1% of people lived below the poverty line in 2024 [4]. Dengue caused 5,972 confirmed deaths in 2024 [17]. This Baseline Edition fixes the reference state for Brazil’s water, energy, food, health and biodiversity systems, maps the couplings through which drought, flood, fire and price shocks travel, and sets the questions the first operational edition will answer with Foundry evidence in Q1 2027. Several values could not be bound at evidence close and are shown as designed empty states, each naming the source that would fill it. The edition ranks nothing and decides nothing.

02At a glance

population, 1 July 2026

214.2 million

aged 65 or over, 2022 (derived)

10.9 %

gross emissions, 2024

2,145 Mt CO₂e

renewable electricity, 2025

86.8 %

GDP growth, 2025

2.3 %

26 states and the Federal District

27 federative units

03Key findings

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.

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.

06System couplings

The Brazil 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.

07Risk objects

Four risk objects open the portfolio. Order carries no rank. Each is read across driver, exposure, vulnerability, capacity, cascade and consequence.

• Extreme rainfall and river flooding in the south

  Reported EQL 4

  Driver

  intense rainfall in a warming climate

  Exposure

  floodplains, cities, farms

  Vulnerability

  levee and pumping design; settlement in flood zones

  Capacity

  civil defence; recovery finance [15] [16]

  Cascade

  CLI → WAT → INF, FOO, FIN

  Horizon

  annual

• Amazon drought, low rivers and fire

  Reported EQL 4

  Driver

  El Niño years on a warming baseline

  Exposure

  river transport, riverine communities, forest

  Vulnerability

  dependence on rivers for supply and logistics

  Capacity

  monitoring and fire brigades; reserves not bound

  Cascade

  CLI → WAT → INF, HLT, BIO

  Horizon

  seasonal

• Hydropower shortfall in a dry year

  Inferred EQL 3

  Driver

  below-normal inflows across main basins

  Exposure

  about half of power generation [10]

  Vulnerability

  basin concentration; storage margin not bound

  Capacity

  gas, biomass, wind and solar growth [10]

  Cascade

  WAT → ENE → FOO, FIN

  Horizon

  1 to 5 years

• Amazon forest loss and degradation

  Inferred EQL 3

  Driver

  land conversion, fire and drought together

  Exposure

  forest, regional rainfall, carbon stock

  Vulnerability

  degradation not captured by clear-cut loss

  Capacity

  monitoring since 1988 [11]; falling loss rates

  Cascade

  BIO → CLI → WAT, FOO

  Horizon

  30 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.

09Scenario

Strong El Niño drought across rivers, hydropower and fire. A conditional statement under stated assumptions, never a prediction.

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

  GCRI · KEY T

  The evidence supports a coupled reading of Brazil’s risk: drought, flood and fire share one hydrological cycle, and power, food and logistics depend on it. Evidence is strongest for emissions, land cover, energy and floods, and weakest for heat mortality, reserves and lifeline continuity.

• Public Meaning

  GRF · KEY M

  For most people risk arrives as a flood, a smoke-filled season or a dengue wave. The baseline asks that public debate weigh how regional gaps in poverty and services change who recovers fastest.

• Capital Meaning

  GRA · KEY F

  Readiness implications only. General government gross debt was 93.3% of GDP in 2025, climate-risk rules for banks have applied since 2022, and an emissions trading system has been legislated [26] [27] [46]. These show where finance-readiness evidence will matter. Nothing here is advice, a rating or an approval.

• Synthesis

  NEXUS

  Brazil has world-class monitoring of forests and a very clean grid, and thinner evidence on reserves, continuity and heat health. The 2027 programme should test the drought pathway, bind reservoir and heat data, and measure logistics 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.

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.

1. A-01

   How would a strong El Niño drought lower Amazon rivers and hydropower, and how long would navigation, supply and power margins take to recover?

   INI-BRA-CLI-01 · drought and river compound test

2. A-02

   How much hydropower and reservoir margin remains before thermal dispatch must rise, and at what emissions and cost?

   INI-BRA-ENE-02 · hydro and thermal resilience

3. A-03

   How exposed are fertiliser, feed and export logistics to river lows and port disruption?

   INI-BRA-FOO-03 · food logistics exposure

4. A-04

   How large is the heat, smoke and dengue load on health services in a hot, dry year?

   INI-BRA-HLT-04 · heat, smoke and vector load

5. A-05

   Where do flood and drought losses fall on the uninsured and on public budgets?

   INI-BRA-FIN-05 · protection gap

6. A-06

   How do forest loss, degradation and fire interact with regional rainfall?

   INI-BRA-BIO-01 · workstream

7. A-07

   How resilient are river-basin cities to heavy rain after the 2024 floods?

   to be admitted in Q1 2027

8. A-08

   Which capabilities have been tested in real events, and which are only listed?

   national capability register

13Coupled risk, applied response

14Evidence by system

15Sources

48 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). Brazil: country profile. In Brazil 2026 [Draft under review]. GCRI for the Nexus Consortium.

Review copy. The DOI is issued at deposit. Text under CC BY 4.0.