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A scientific climate knowledge dashboard: explore the map, compare countries, and report what you see on the ground.

BruneiCambodiaIndonesiaLao PDRMalaysiaMyanmarPhilippinesSingaporeThailandTimor-LesteViet Nam

Documented risk theme

River and flash floods

Documented risk theme

Drought and water stress

Documented risk theme

Heat and agricultural exposure

Screening themes, not three highest risks or comparative country ranking. These are qualitative themes, not comparable risk scores.

Evidence: ASCCR p.40; World Bank CCDR page; SRC-022; SRC-033 full CCDR 2026 archived · Checked 2026-11-01

Risk source
Evidence limitations

2026 CCDR full report and overview archived. Existing qualitative themes retained; quantitative scenario extraction and sensitivity checks pending.

Risk evidence methodology

Themes are not rankings. Comparable risk analysis requires:

  • 1

    Hazard

    How often and how intensely the event occurs.

  • 2

    Exposure

    People, assets and ecosystems in harm's way.

  • 3

    Vulnerability

    Sensitivity and capacity to cope or adapt.

  • 4

    Observed losses

    Recorded damage — kept separate from losses attributed to climate change.

  • 5

    Projections

    How the risk is expected to change in future scenarios.

Quantitative indicators · Lao PDR

Climate indicators · Source scope and review decisions

Review supplied · Conflict unresolved

Supplied review & decision

老挝河流水灾暴露人口与 25 年一遇资产损失测算

Retain page 33 as supplied, with earlier page 290 in history. Quote has 260,0000 and 1.5 without percent; neither population correction is adopted. Asset damage is a 1-in-25-year event, not annual average.

Reported citation: Lao PDR Country Climate and Development Report (CCDR) · 2026 · PDF page 33

Holding population fixed, the annual number of people affected from floods is projected to grow from around 100,000 in current climate conditions (representing 1.5 of the total population) to about 140,000 under an optimistic climate scenario or 260,0000 in a pessimistic climate scenario. Probabilistic modeling for this CCDR shows that the estimated 1-in-25-year asset losses to built-up areas from floods-which already totaled US$662 million in 2020-could nearly double to US$1,265 million under an optimistic climate change scenario (SSP 1-RCP2.6) and to increase by a factor of four to around US$2,708 million under a pessimistic climate change scenario (SSP 5-RCP8.5).
Earlier supplied reviews (2)

老挝洪涝资产损失与水稻交替干湿灌溉(AWD)指标核验 · PDF page 290

Review claims absolute PDF page 290; earlier extracts use pages 9–13. Original edition, page count and printed/physical page mapping are required. This is 1-in-25-year built-up asset damage, not annual average loss.

老挝河流水灾受灾人口与建筑资产损失概率模型数据核验 · PDF page 33

Latest supplied review revises asset citation from page 290 to PDF page 33 (Section 3.1 / Figure 3.3); original page mapping still needs independent checking. Population quote still reads "260,0000" and "1.5" without %. Neither 260,000 nor 2,600,000 is adopted. Asset losses are 1-in-25-year event damage, not annual average.

External review, not independent original-source verification. Human review required · 2026-11-01.supplied-reviews.v3

People & exposure

Data under verification

No unambiguous quote-supported summary available.

Extraction, quote & page

Submitted extraction — not independently verified

在人口固定的前提下,每年受洪水影响的人口预计将从当前气候条件下的约 10 万人(占总人口的 1.5%)增至乐观情景下的约 14 万人或悲观情景下的 26 万人

Supplied page: p. 33 (latest supplied physical-page citation; original mapping pending)

Holding population fixed, the annual number of people affected from floods is projected to grow from around 100,000 in current climate conditions (representing 1.5 of the total population) to about 140,000 under an optimistic climate scenario or 260,0000 in a pessimistic climate scenario.

Economic impact

2–6% / 8–21% GDP

Combined GDP losses by 2030 / 2050; optimistic–pessimistic

Extraction, quote & page

Submitted extraction — not independently verified

气候变化导致的综合 GDP 损失在 2030 年预计达到 GDP 的 2%(乐观情景)至 6%(悲观情景);到 2050 年,损失可能达到 8% 至 21%

Supplied page: p. 11

the combined GDP losses could amount to 2 percent of GDP in 2030 under an optimistic climate change scenario and up to 6 percent under a pessimistic climate change scenario. By 2050, losses may reach 8% under an optimistic scenario or 21% under a pessimistic one.
Additional flood-asset claim · Revised supplied citation

US$662M → US$1,265M / US$2,708M · 1-in-25-year flood damage to built-up assets; 2020 baseline → 2050 optimistic / pessimistic scenarios

Latest supplied PDF page: 33 · Section 3.1 Managing flood risks / Figure 3.3. Earlier supplied page 290 is superseded, not independently corrected.

Holding population fixed, the annual number of people affected from floods is projected to grow from around 100,000 in current climate conditions (representing 1.5 of the total population) to about 140,000 under an optimistic climate scenario or 260,0000 in a pessimistic climate scenario. Probabilistic modeling for this CCDR shows that the estimated 1-in-25-year asset losses to built-up areas from floods-which already totaled US$662 million in 2020-could nearly double to US$1,265 million under an optimistic climate change scenario (SSP 1-RCP2.6) and to increase by a factor of four to around US$2,708 million under a pessimistic climate change scenario (SSP 5-RCP8.5).

Event-specific asset damage, not annual average or a headline GDP indicator. Original-page check outstanding.

Caveats: Latest supplied review revises asset citation from page 290 to PDF page 33 (Section 3.1 / Figure 3.3); original page mapping still needs independent checking. Population quote still reads "260,0000" and "1.5" without %. Neither 260,000 nor 2,600,000 is adopted. Asset losses are 1-in-25-year event damage, not annual average.

Source attribution & sectors

Supplied source: Lao PDR Country Climate and Development Report (CCDR) · 2026 · World Bank Group · pp. 11, 33 (supplied citations; original mapping pending)

Catalogue candidate: SRC-033 · Lao PDR Country Climate and Development Report — Full Report. A catalogue match does not verify the quoted page.

Open catalogue source ↗

Supplied vulnerable sectors: Agriculture and Rainfed Crop Systems · Water and Hydropower Infrastructure · Transport and Built Infrastructure · Labor Productivity and Public Health

Supplied hazards: Riverine Flooding · Severe Droughts and Water Deficit · Landslides and Extreme Precipitation

Import 2026-11-01-user-extract-v5. Different hazards, units, populations and projection horizons are not comparable; no ranking or combined total.

Compare countries

Qualitative evidence · 2026-11-01. A missing theme is not evidence of no risk.

Lao PDR →
  • Flooding & extreme rainfallRiver and flash floods
  • Tropical cyclonesNot covered in imported themes
  • Sea-level rise & coastal erosionNot covered in imported themes
  • Extreme heatHeat and agricultural exposure
  • DroughtDrought and water stress
  • LandslidesNot covered in imported themes
  • Haze & wildfireNot covered in imported themes

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Flooding & extreme rainfall
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Tropical cyclones
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Sea-level rise & coastal erosion
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Extreme heat
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Drought
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Landslides
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Haze & wildfire
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