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Brazil 2026

Brasil

Brazil (Brasil) enters 2027 with 214.2 million residents, an electricity system that was 86.8% renewable in 2025 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.

Temuan
12
each with its status and source
Sectors with findings
5 of 6
Infrastructure not assessed
Risk objects
4
order carries no rank
Sumber
48
Evidence close 30 September 2026

01 · Readings

Brazil in six readings.

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

  • 214.2millionpopulation, 1 July 2026 [1]
  • 10.9%aged 65 or over, 2022 (derived) [2]
  • 2,145Mt CO₂egross emissions, 2024 [9]
  • 86.8%renewable electricity, 2025 [10]
  • 2.3%GDP growth, 2025 [3]
  • 27federative units26 states and the Federal District

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. WATAir2 findings

    88.6% People using safely managed drinking water, 2024. Dilaporkan

    Large basins; 88.6% safely managed drinking water, 55.0% safely managed sanitation; floods in the south, low rivers in the Amazon.

  2. ENEEnergi1 finding

    86.8% Renewable share of electricity supply, 2025. Dilaporkan

    86.8% renewable power; hydropower about half of generation; gas rises when rivers fall.

  3. INFInfrastrukturnot assessed

    River transport and ports exposed to low water; levees and drainage tested in 2024.

  4. FOOPangan2 findings

    360.8 Mt Grain harvest, agency estimate, crop year 2025/26, 2025/26. Dilaporkan

    Large grain and oilseed output; outside the FAO Hunger Map; fertiliser dependence not bound.

  5. HLTKesehatan1 finding

    5,972 deaths Dengue deaths confirmed, 2024. Dilaporkan

    Life expectancy 76.6 years; dengue load in 2024; heat deaths not bound.

  6. BIOKeanekaragaman hayati2 findings

    5,796 km² Amazon deforestation estimate, PRODES, Aug 2024 to Jul 2025. Dilaporkan

    Forest 58.5% of land; 29.4% of territory protected; deforestation falling, fire volatile.

Outside the six sectors: Climate forcing 2, 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-BRA-CLI-001

    Extreme rainfall and river flooding in the south

    DilaporkanEQL 4

    Pendorong
    intense rainfall in a warming climate
    Eksposur
    floodplains, cities, farms
    Kerentanan
    levee and pumping design; settlement in flood zones
    Kapasitas
    civil defence; recovery finance [15] [16]
    Efek berantai
    CLI → WAT → INF, FOO, FIN
    Cakrawala
    tahunan

    Sistem air

  • RSK-BRA-CLI-002

    Amazon drought, low rivers and fire

    DilaporkanEQL 4

    Pendorong
    El Niño years on a warming baseline
    Eksposur
    river transport, riverine communities, forest
    Kerentanan
    dependence on rivers for supply and logistics
    Kapasitas
    monitoring and fire brigades; reserves not bound
    Efek berantai
    CLI → WAT → INF, HLT, BIO
    Cakrawala
    seasonal

    Sistem airLahan dan ekosistem

  • RSK-BRA-ENE-003

    Hydropower shortfall in a dry year

    InferredEQL 3

    Pendorong
    below-normal inflows across main basins
    Eksposur
    about half of power generation [10]
    Kerentanan
    basin concentration; storage margin not bound
    Kapasitas
    gas, biomass, wind and solar growth [10]
    Efek berantai
    WAT → ENE → FOO, FIN
    Cakrawala
    1 to 5 years

    No domain reading

  • RSK-BRA-BIO-004

    Amazon forest loss and degradation

    InferredEQL 3

    Pendorong
    land conversion, fire and drought together
    Eksposur
    forest, regional rainfall, carbon stock
    Kerentanan
    degradation not captured by clear-cut loss
    Kapasitas
    monitoring since 1988 [11]; falling loss rates
    Efek berantai
    BIO → CLI → WAT, FOO
    Cakrawala
    30 years

    Lahan dan ekosistemSistem air

Scenario · SCN-BRA-DRT-01

Strong El Niño drought across rivers, hydropower and fire

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.

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

  1. 1CLI → WATrivers fall to record lows; supply and navigation stressed
  2. 2WAT → INFriver ports and grain shipments disrupted
  3. 3WAT → ENEhydropower falls and thermal dispatch rises
  4. 4CLI → BIOfire season burns forest and savanna
  5. 5BIO → HLTsmoke and heat load on health services (not bound)
  6. 6ENE → FINpower cost and fiscal pressure rise (not bound)

04 · Couplings

How the sectors carry risk into each other.

The Brazil matrix types the twenty couplings between the five core sistem. 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
DariWATENEFOOHLTBIO
WAT·StrongStrongSedangStrong
ENESedang·StrongStrongSedang
FOOSedangWeak·StrongStrong
HLTWeakWeakSedang·Weak
BIOStrongSedangStrongSedang·

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 → ENEdrought lowers river flows and hydropower, and thermal dispatch risesInferred
  2. CLI → WAT → INFrecord river lows interrupt river transportDilaporkan
  3. CLI → BIO → HLTdrought and fire raise smoke and heat load on health servicesInferred
  4. CLI → INF → FINfloods destroy assets and output, and fall on public budgetsDilaporkan
  5. BIO → CLI → FOOforest loss weakens regional moisture recycling that supports cropsInferred

05 · Findings

Every finding of Brazil.

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 Brazil
IDEdisiSector or systemStatusStatement
CLI-001BrasilCLI Climate forcing DilaporkanGross greenhouse-gas emissions fell 16.7% in 2024 to 2,145 Mt CO₂e, led by lower land-use change; net emissions were 1.49 Gt CO₂e. SEEG is a civil-society estimate, not the official inventory.
CLI-002BrasilCLI Climate forcing DilaporkanThe 2035 target is a net reduction of 59 to 67% below 2005, equal to 0.85 to 1.05 Gt CO₂e on the latest inventory data.
BIO-003BrasilBIO Keanekaragaman hayati DilaporkanThe PRODES estimate for the Amazon was 5,796 km² for August 2024 to July 2025, 11.08% below the previous year; MapBiomas counted 984,794 hectares lost nationally in 2025, 20.6% fewer than in 2024.
BIO-004BrasilBIO Keanekaragaman hayati DilaporkanAbout 30 million hectares burned in 2024 and about 12.7 million in 2025, against an annual mean of 18.4 million.
ENE-005BrasilENE Energi DilaporkanRenewables supplied 86.8% of electricity in 2025. Hydropower fell 4.8% to 401.4 TWh while gas generation rose 22.7%, and wind and solar together supplied 26.4%.
WAT-006BrasilWAT Air DilaporkanThe Negro River at Manaus fell to 12.70 m in October 2023 and to 12.66 m in October 2024, record lows in a gauge record from 1902.
WAT-007BrasilWAT Air DilaporkanThe 2024 Rio Grande do Sul floods affected about 2.4 million people in 478 of 497 municipalities and caused 185 confirmed deaths; effects are estimated at R$88.9 billion.
FOO-008BrasilFOO Pangan DilaporkanThe 2025/26 grain harvest is estimated at 360.8 Mt on 83.5 million hectares, and agricultural value added grew 11.7% in 2025.
FOO-009BrasilFOO Pangan DilaporkanBrazil stayed outside the FAO Hunger Map; moderate or severe Kerawanan pangan was 9.6% in 2023 to 2025, and 3.2% of households were in severe insecurity in 2024.
HLT-010BrasilHLT Kesehatan DilaporkanDengue caused 6,484,890 probable cases and 5,972 confirmed deaths in 2024; WHO had already counted 6.3 million suspected cases in Brazil by 30 April. Life expectancy reached 76.6 years.
FIN-011BrasilFIN Keuangan DilaporkanGeneral government gross debt was 93.3% of GDP in 2025 on IMF definitions, with the policy rate at 14.0% at end-2025.
SYS-012BrasilSYS Sistemik Expert inputThe leading compound pathway for 2027 testing is a strong El Niño drought that lowers Amazon rivers and hydropower while fire and thermal dispatch rise together.

06 · Editions and calendar

The desks’ editions for Brazil.

The desks’ editions for Brazil
MejaEdisiStatusPengenal
GCRI Systems EvidenceBrazil 2026Drafted, in stewardship reviewNR-COUNTRY-BRA-2026-BASELINE-v1.0.0
GRF Public DeliberationPublic Deliberation: Brazil 2026Dalam persiapan
GRA Capital ReadinessCapital Readiness: Brazil 2026Dalam persiapan
Standards ProgressNo edition in the 2026 Baseline cycleNot in this cycle
Academy CapabilityNo edition in the 2026 Baseline cycleNot in this cycle
Index MeasurementMeasurement: Brazil 2026Dalam persiapan

Calendar · 2026 Baseline

  1. 01Call opensset by the editor
  2. 02Contribution closeset by the editor
  3. 03Penutupan bukti30 September 2026
  4. 04Desk review and releaseset by the editor
  5. 05Collection compilationset by the editor
  6. 06Collection releaseset by the editor
  7. 07Koreksiafter release, as needed

Evidence cut NQ-BRA-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.

Log koreksi

Versions and corrections
VersiTanggalStatusPerubahanPemberitahuan
NR-COUNTRY-BRA-2026-BASELINE-v1.0.0October 2026DRAFTBaseline Edition 2026, inaugural annual edition,tidak ada
Data gaps3What the repository does not hold yet, and the source proposed for each
Data gaps and proposed sources
KesenjanganShown 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/bra/
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
LaporanBerkontribusi

Send evidence or a correction on Brazil.

Laporan is the Consortium’s quarterly publication, written by six desks. This page sits with the Global Centre for Risk and Innovation (GCRI) Sistem Global Centre for Risk and Innovation (GCRI). Apa yang Anda ketahui tentang topik ini dapat menjadi bukti, studi kasus, atau koreksi pada edisi berikutnya, dengan mencantumkan nama Anda dan diterbitkan di bawah CC BY 4.0 jika itu karya Anda sendiri. Jika terkirim ke meja yang salah, kiriman diteruskan, bukan ditolak.

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