Sri Lanka – Flooding and Cyclone

Sri Lanka – Flooding and Cyclone#

For this analysis, two datasets are utilized:

Data Information Summary#

This dataset provides insights into business activity at the GADM 2 level, covering 25 districts in Sri Lanka

Activity Quantile (activity_quantile):#

The activity quantile metric is used to measure changes in Business Activity.

  • Purpose: Measures changes in business activity relative to a baseline period.

  • Key Values:

    • 0.5: Normal activity (baseline level).

    • Above 0.5: Increased activity.

    • Below 0.5: Decreased activity.

Calculation Overview:#

  1. Compare daily activity of business pages to their baseline activity levels (quantiles).

  2. Aggregate and standardize these values to follow a normal distribution.

  3. Apply a cumulative probability transformation to derive a value between 0 and 1.

  4. Average results over 7 days to reduce daily noise.

  5. Provides equal weight to all businesses, avoiding bias from more active pages.

📊 Analysis by Business Vertical#

This section explores how different business sectors were impacted during each crisis event.

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Analyzing Changes in Business Activity by Region and Vertical#

🗺️ Analysis by Event and Region#

The following maps present the analysis at Admin Level 2 for each event.

For each event, the maps include:

  • A summary of key dates and impacts,

  • Relevant links to external sources or reports,

  • A map showing total business activity during the event period.

These visualizations aim to provide a localized view of how business activity was affected across different regions during key crisis events.

Southwest Monsoon Flood Business Activity Trends Dataset#

This map visualizes business activity trends following the Southwest Monsoon Floods in Sri Lanka (May–June 2024), offering insights into economic disruptions and recovery patterns across affected regions.

Crisis Impact Overview – May–June 2024

Beginning in mid-May 2024, heavy monsoon rains led to widespread flooding and landslides across Sri Lanka. The situation escalated in early June, particularly affecting the southern and western provinces. Thousands of people were displaced, homes were damaged, and key infrastructure—such as roads, transport, and agricultural land—was severely impacted.

The floods also disrupted access to basic services and posed public health risks, especially in areas already experiencing dengue outbreaks.

Key Dates:

  • Mid-May 2024: Onset of heavy monsoon rains

  • June 1–16, 2024: Peak flooding and landslide impacts

  • June 12 onward: Continued rainfall forecast across affected regions

Key Places Affected:

  • Western Province: including Colombo, Kalutara, Gampaha

  • Southern Province: including Matara, Galle

  • Sabaragamuwa Province: including Ratnapura, Kegalle

  • Central Highlands: including Nuwara Eliya

See more details in the SRI LANKA Flooding in South and West: Crisis Impact Overview

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Cyclone Fengal Business Activity Trends Dataset#

This map visualizes business activity trends following Cyclone Fengal in Sri Lanka (December 2024), highlighting the economic disruptions and recovery patterns resulting from the storm.

Crisis Impact Overview – December 2024

In early December 2024, Cyclone Fengal impacted parts of Sri Lanka, bringing strong winds, heavy rainfall, and coastal flooding. The cyclone disrupted daily life and affected key infrastructure and economic activities, especially in low-lying and coastal regions.

The storm caused localized flooding, temporary power outages, and interruptions to transport and commercial activity. Agricultural areas and small businesses were also affected, particularly in regions vulnerable to seasonal cyclones.

Key Dates:

  • December 2–16, 2024: Period of observed storm-related impacts on business activity and infrastructure

Key Places Affected:

  • Northern and Eastern coastal districts: Experienced strong winds and localized flooding

  • Urban and peri-urban areas: Observed moderate disruptions to business services, retail activity, and supply chains

  • Agricultural zones: Faced flood-related delays and losses during harvesting and transport

Sources:

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