Why Disaster Data Matters

Number of Emergencies Rising?

The trend line is not flat — and it is not gentle.

New IFRC appeals climbed from 97 in 2019 to a peak of 157 in 2024, a rise of roughly 62% over six years. This mirrors what climate and conflict researchers have documented globally: more frequent hydro-meteorological shocks, protracted epidemics, and displacement crises are pushing humanitarian systems to open new operations at a faster pace than a decade ago.

Methodological note: the Appeals extract was used for this trend (rather than the Emergency Events extract) because it spans a full 8-year window (2019–2026), whereas the Emergency Events extract only covers 2023–2026 — a four-year rolling operational log. A multi-year trend line requires the longer series to avoid mistaking a short observation window for a long-term pattern.

Where Is the Burden Heaviest?

Vulnerability is not evenly distributed across the globe.

Joining each emergency event to its official IFRC region — via the Countries reference file’s own id field, not a text match — shows Africa carrying the largest share of logged events (336 of 995, or 33.8%), driven overwhelmingly by floods and epidemics — a signature of the continent’s exposure to both climate-driven hazards and stretched disease-surveillance infrastructure. The Americas rank a close second in raw event counts, ahead of Asia Pacific, which is a useful contrast with the Appeals data used later in this storyboard (Frame 6): not every logged event escalates into a funded international appeal, so the region that reports the most events is not always the region that draws the most funding requests.

This regional skew matters operationally: it is the basis on which IFRC allocates its Disaster Response Emergency Fund (DREF) and prioritises pre-positioned stock, rather than treating every National Society as facing an equal baseline risk.

What Keeps Recurring?

Five hazard types explain most of what National Societies respond to.

Population Movement alone accounts for 68 of the 1000 logged events (7%) — unsurprising given that floods are geographically ubiquitous, recur seasonally, and are increasingly intensified by shifting rainfall patterns. Epidemics and fires follow, reflecting the dual burden of disease outbreaks in under-resourced health systems and the growing frequency of both urban and wildland fire incidents. Cyclones and population movement round out the top five, the latter a reminder that IFRC’s mandate extends beyond natural hazards into conflict- and climate-driven displacement.

The catch-all “Other” category (107 events) was deliberately excluded from the ranking above because it aggregates heterogeneous, non-comparable events and would distort a “top disaster type” comparison rather than inform it.

Who Gets Reached?

Human impact, not event count, is the real measure of humanitarian need.

This chart uses the Appeals dataset’s num_beneficiaries field — the number of people an operation plans to reach — rather than the Emergency Events dataset’s num_affected field. That choice is deliberate: num_affected is populated for only 35 of 1000 events (3.5%), too sparse to summarise reliably by disaster type, whereas num_beneficiaries is complete across all 1,000 appeals and reflects the same underlying reality — how many people a hazard has put in need of assistance.

Population movement and epidemic operations dominate cumulative beneficiary counts, a reminder that the disasters that occur most often (floods, fires) are not always the ones that put the most people at risk at once — slow-building health and displacement crises can quietly outstrip the human cost of more frequent but geographically contained hazards.

Are Appeals Fully Funded?

The gap between what is asked for and what arrives is the clearest signal of donor fatigue.

Across the full dataset, IFRC appeals requested US$4B and received US$2B — a funding ratio of only 45.8%. In other words, for every dollar of identified humanitarian need, IFRC operations in this dataset received under fifty cents.

The By region tab breaks that headline number apart: funding shortfalls are not uniform — some regions consistently clear a higher share of their ask than others, which is a starting point for asking why (media visibility, donor relationships, protracted vs. sudden-onset crises) rather than treating the 46% figure as one flat global story.

This shortfall is not a rounding error — it translates directly into rationed relief items, shortened cash-assistance cycles, and delayed early-recovery programming. It is also the empirical justification for mechanisms like the DREF, which exist precisely because appeal-based, donor-dependent funding is structurally slow and incomplete relative to need.

A Closer Look: Bangladesh

Bangladesh shows, in miniature, why disaster response cannot be a single-hazard playbook.

In this dataset alone, Bangladesh recorded 10 distinct emergency events spanning cyclones, monsoon and flash flooding, cold waves, heat waves, epidemics, and fire — often within the same calendar year. The Countries reference file identifies the responding National Society as the Bangladesh Red Crescent Society, one of the world’s most tested Red Crescent branches. It layers hazard-specific systems on top of this reality: cyclone early-warning volunteers along the coast, flood-response pre-positioning in char (river-island) communities, and heat-action plans for Dhaka’s urban poor.

Separately, the Appeals dataset shows 18 IFRC appeals for Bangladesh over 2019–2026, together targeting over 3,956,200 beneficiaries — evidence that Bangladesh’s disaster exposure is not an occasional shock but a continuous, multi-hazard operating environment.

How Severe Are Different Hazards?

Neither dataset records deaths — so severity has to be read through IFRC’s own operational lens.

Despite the frame title, no mortality or case-fatality field exists in either the Emergency Events or Appeals extract, so a literal “mortality rate” chart is not something these data can honestly produce. Instead, this radar chart uses IFRC’s own ifrc_severity_level flag (Yellow / Orange / Red) — the classification IFRC’s surge teams assign to gauge how serious a response needs to be — and plots the share of events rated Orange or Red for each of the five leading disaster types.

Cyclone stands out with the highest share of high-severity classifications (22%), consistent with its capacity to affect large populations suddenly and simultaneously. Slower-onset hazards tend to cluster at lower severity shares in IFRC’s own classification, not because they are less damaging cumulatively, but because each individual event is, on average, rated less acute at the point of reporting.

Where Does Risk Concentrate?

Preparedness starts with knowing where the next appeal is most likely to come from.

The Countries file includes an inform_score column meant to carry the INFORM Risk Index, but it is empty for all 253 country profiles (0% populated) — a verified data-quality finding, not an assumption. A literal INFORM choropleth cannot be built from this data.

As a transparent substitute, this interactive map plots IFRC appeal counts per country (2019–2026) — hover any country for its figure. It uses ISO-3 country codes rather than name-matching, avoiding the exact join errors common in country-name-based maps.

Kenya, the Philippines, DR Congo, Ethiopia, Colombia, and Somalia stand out with the most appeals — also consistently near the top of published INFORM rankings, lending validity to appeal frequency as a working proxy for where IFRC concentrates preparedness investment.

What This Data Teaches Us

The numbers tell a consistent story: emergencies are growing more frequent, more concentrated, and more expensive than the humanitarian system can fully fund.

Across ten frames, this documentary showed appeal volumes climbing over a seven-year window; Africa and Asia Pacific absorbing the largest regional share of operations; floods, epidemics, fires, cyclones, and population movement dominating the hazard mix; a persistent funding gap of roughly half of stated need; and a small, recurring set of countries — Bangladesh among them — carrying a disproportionate, multi-hazard burden year after year.

None of this diminishes IFRC’s mission; if anything, it sharpens it. Data like this is precisely what allows the Federation and its 191 National Societies to move from reactive relief toward anticipatory, evidence-led action — pre-positioning stock before the flood peaks, training volunteers before the cyclone season starts, and directing scarce donor funding to where the recurrence data says it will be needed again. The central challenge ahead is not a shortage of data or of goodwill, but of financing: closing a funding gap that, on this evidence, still leaves roughly half of identified humanitarian need unmet.