A live snapshot of how the humanitarian, policy, and research community draws on Internal Displacement Monitoring Centre data — across the API platform, the Humanitarian Data Exchange, and downstream early-warning products.
IDMC's internal-displacement data is drawn on by a wide range of users — UN agencies, governments, humanitarian NGOs, research institutions, and intergovernmental bodies. This section profiles the organisations registered on the IDMC data platform and the broader public audience reached through the Humanitarian Data Exchange (HDX).
IDMC data is used by a diverse community of partners — the UN system, academic and research institutions, NGOs, intergovernmental bodies, and national governments — reflecting the wide range of contexts in which displacement evidence informs decision-making. Each partner draws on the data in a way that fits its mandate: researchers build evidence for studies and publications, humanitarian and development organisations use it to plan programmes and target assistance, governments and intergovernmental bodies integrate it into policy analysis, and a growing number of partners embed IDMC figures directly into their own operational systems, early-warning models, and public platforms. This breadth of applications — from individual analysis to production-grade integrations — is a measure of the data's relevance, and confirms IDMC's role as a trusted reference source across the humanitarian, development, and policy ecosystems.
181 external organisations hold an IDMC API account, of which 153 are currently active and 136 generated requests during the reporting window. Together they have made 319,135 data requests, 97% of them through automated APIs — confirming that IDMC data is routinely embedded into partners' own systems and workflows rather than consulted ad hoc.
The timely Internal Displacement Updates (IDU) event database is steadily building its own user base: 104 organisations have submitted 17,543 IDU-specific requests to date, with annual volume rising from 1,773 in 2023 to 6,725 in 2025 (up 279%). On a like-for-like basis across the wider user base, IDU represents around 19% of platform traffic. IDU's operational footprint also extends beyond the API: its event data feeds HDX Signals, the OCHA Centre for Humanitarian Data's early-warning product, which generates displacement alerts for a wider humanitarian audience.
Users reach IDMC data through three channels — programmatic APIs for automated workflows, Excel downloads for analyst work, and embedded widgets that surface IDMC figures inside third-party dashboards. Two core products flow through those channels: the annual Global Internal Displacement Database (GIDD) and the timely Internal Displacement Updates (IDU) event database.
The charts below show two independent slicings of these requests. View A breaks down by access channel — the three percentages sum to 100 %. View B breaks down by dataset product — GIDD and IDU also independently sum to 100 %. Do not add percentages across the two views.
The share of IDU event-database requests indicates growing demand for near-live displacement figures to inform operational and anticipatory-action decisions, while GIDD remains the reference source for annual reporting and longitudinal research.
The Humanitarian Data Exchange (HDX), operated by the OCHA Centre for Humanitarian Data, extends IDMC's reach well beyond the registered API client base. This subsection reports monthly page views and resource downloads on HDX, the countries receiving the most interest, and the displacement alerts that IDMC data feeds into HDX Signals.
IDMC publishes three product families on HDX: the timely Internal Displacement Updates event database (IDU — event-level records per country), the annual Global Internal Displacement Database (GIDD — country-year stocks and flows), and a curated set of country-level socioeconomic-impact studies. Classifying every resource-download event on HDX by product shows how audiences split their attention between these three offers.
Across the reporting period, the annual GIDD figures remain the most-downloaded IDMC product on HDX, with IDU, GIDD, and the socioeconomic studies accounting for 42%, 58%, and 0% of IDMC resource-download events respectively.
HDX Signals is an OCHA Centre for Humanitarian Data initiative that monitors a curated set of humanitarian indicators and alerts users when the situation in a country is deteriorating. It is designed to help analysts, donors, and responders spot crises early and prioritise where to dig deeper. Introducing HDX Signals ↗ · Alerting humanitarians to deteriorating crises ↗
IDMC's IDU event data is one of the displacement inputs that HDX Signals
relies on to generate its internal-displacement alerts — the two indicators
shown below (idmc_displacement_conflict and
idmc_displacement_disaster) are produced directly from IDMC data.
In other words, beyond the API calls and HDX downloads reported elsewhere on
this page, IDU data reaches operational audiences indirectly, every time an
HDX Signals alert is sent.
Requests to the IDMC platform grew steadily from 2019 through 2024 as the API matured and more organisations integrated displacement data into their workflows. Recent years should be read in the wider context of the humanitarian funding environment, which affects how intensively partners query and ingest external data.
Platform tracking: sourced from the instrumented IDMC data platform, which deduplicates by session and counts a single logical request per client call.
2026 partial year: The tracking file covers activity through 2026-04-20. 2026 is shown alongside complete calendar years; read the 2026 bar as a partial-year figure rather than a full-year comparison.
A single high-volume integration accounted for roughly 85% of all API requests in 2025. Year-on-year comparisons are most meaningful when read alongside the broader distribution of users shown in Section 1.
Requests broken out by category (IDMC website usage, external users, HDX downloads) and by how the data was accessed (APIs, Excel downloads, widgets), with a plain year-over-year comparison. Methodology aligned with the CRAFd donor report. 2026 shown as a partial year.
| Year | Category | APIs | Excel downloads | Widgets | Total | YoY (total) |
|---|---|---|---|---|---|---|
| 2022 | IDMC website usage | 68,541 | 0 | 0 | 68,541 | — |
| Registered API data users | 412 | 0 | 0 | 412 | — | |
| HDX downloads D · Total download events | — | 61,038 | — | 61,038 | — | |
| Total across channels | 68,953 | 61,038 | 0 | 129,991 | — | |
| 2023 | IDMC website usage | 165,559 | 20,086 | 1,456,935 | 1,642,580 | ↑ 2296.5% |
| Registered API data users | 4,149 | 17 | 1,159 | 5,325 | ↑ 1192.5% | |
| HDX downloads D · Total download events | — | 68,514 | — | 68,514 | ↑ 12.2% | |
| Total across channels | 169,708 | 88,617 | 1,458,094 | 1,716,419 | ↑ 1220.4% | |
| 2024 | IDMC website usage | 158,722 | 25,917 | 2,149,230 | 2,333,869 | ↑ 42.1% |
| Registered API data users | 10,438 | 115 | 2,767 | 13,320 | ↑ 150.1% | |
| HDX downloads D · Total download events | — | 143,871 | — | 143,871 | ↑ 110.0% | |
| Total across channels | 169,160 | 169,903 | 2,151,997 | 2,491,060 | ↑ 45.1% | |
| 2025 | IDMC website usage | 119,461 | 25,542 | 1,908,191 | 2,053,194 | ↓ 12.0% |
| Registered API data users | 262,004 | 213 | 2,956 | 265,173 | ↑ 1890.8% | |
| HDX downloads D · Total download events | — | 78,341 | — | 78,341 | ↓ 45.5% | |
| Total across channels | 381,465 | 104,096 | 1,911,147 | 2,396,708 | ↓ 3.8% | |
| 2026 as of 20 Apr 2026 | IDMC website usage | 31,346 | 23,730 | 449,063 | 504,139 | ↓ 75.4% |
| Registered API data users | 33,047 | 147 | 1,342 | 34,536 | ↓ 87.0% | |
| HDX downloads D · Total download events | — | 77,228 | — | 77,228 | ↓ 1.4% | |
| Total across channels | 64,393 | 101,105 | 450,405 | 615,903 | ↓ 74.3% |
HDX is a separate measurement channel but is grouped here with Excel downloads because both represent files of IDMC data being pulled down by a human or system — not API-driven integrations or embedded widgets.
Each year is split into four rows so you can see the story at a glance:
The three activity columns show how the data was fetched:
YoY (total) is just a plain year-over-year comparison: how this year's total for a given user type compares to last year's — positive means it grew, negative means it shrank. The first year has nothing to compare against, so it reads "—".
| Year | Category | APIs | Excel downloads | Widgets | Total | YoY (total) |
|---|---|---|---|---|---|---|
| 2022 | IDMC website usage | 68,541 | 0 | 0 | 68,541 | — |
| Registered API data users | 412 | 0 | 0 | 412 | — | |
| HDX downloads D · Total download events | — | 61,038 | — | 61,038 | — | |
| Total across channels | 68,953 | 61,038 | 0 | 129,991 | — | |
| 2023 | IDMC website usage | 165,559 | 20,086 | 1,456,935 | 1,642,580 | ↑ 2296.5% |
| Registered API data users | 4,149 | 17 | 1,159 | 5,325 | ↑ 1192.5% | |
| HDX downloads D · Total download events | — | 68,514 | — | 68,514 | ↑ 12.2% | |
| Total across channels | 169,708 | 88,617 | 1,458,094 | 1,716,419 | ↑ 1220.4% | |
| 2024 | IDMC website usage | 158,722 | 25,917 | 2,149,230 | 2,333,869 | ↑ 42.1% |
| Registered API data users | 10,438 | 115 | 2,767 | 13,320 | ↑ 150.1% | |
| HDX downloads D · Total download events | — | 143,871 | — | 143,871 | ↑ 110.0% | |
| Total across channels | 169,160 | 169,903 | 2,151,997 | 2,491,060 | ↑ 45.1% | |
| 2025 | IDMC website usage | 119,461 | 25,542 | 1,908,191 | 2,053,194 | ↓ 12.0% |
| Registered API data users | 35,711 | 213 | 2,956 | 38,880 | ↑ 191.9% | |
| HDX downloads D · Total download events | — | 78,341 | — | 78,341 | ↓ 45.5% | |
| Total across channels | 155,172 | 104,096 | 1,911,147 | 2,170,415 | ↓ 12.9% | |
| 2026 as of 20 Apr 2026 | IDMC website usage | 31,346 | 23,730 | 449,063 | 504,139 | ↓ 75.4% |
| Registered API data users | 33,047 | 147 | 1,342 | 34,536 | ↓ 11.2% | |
| HDX downloads D · Total download events | — | 77,228 | — | 77,228 | ↓ 1.4% | |
| Total across channels | 64,393 | 101,105 | 450,405 | 615,903 | ↓ 71.6% |
HDX is a separate measurement channel but is grouped here with Excel downloads because both represent files of IDMC data being pulled down by a human or system — not API-driven integrations or embedded widgets.
Each year is split into four rows so you can see the story at a glance:
The three activity columns show how the data was fetched:
YoY (total) is just a plain year-over-year comparison: how this year's total for a given user type compares to last year's — positive means it grew, negative means it shrank. The first year has nothing to compare against, so it reads "—".
HDX, operated by UN OCHA's Centre for Humanitarian Data, is the largest open repository of humanitarian datasets and a key discovery tool for analysts. IDMC publishes its GIDD and IDU datasets on HDX so displacement figures can be accessed alongside the operational data used by response teams, researchers, journalists, and governments.
Each HDX download reflects IDMC data being used in external workflows, from forecasting models and emergency planning to research and policy analysis. While internal-displacement.org provides IDMC's full analysis, methodology, and latest figures, HDX expands the visibility and use of that evidence across the humanitarian system.
Request volumes describe reach; the value of IDMC data is best understood through how organisations use it — to inform research and forecasting models, to support anticipatory action, to plan response operations, and to feed displacement evidence into the wider humanitarian and policy ecosystem. This section summarises the use cases declared by registered organisations when they request access to IDMC data.
Filter by organization type, declared use case, or presence of detailed notes to explore how specific organizations apply IDMC data in their work.
| Organization | Type | Declared use cases | Notes |
|---|
The declared use cases confirm that IDMC data is not consumed in isolation — it feeds directly into forecasting models, anticipatory action frameworks, and operational response planning across the humanitarian system. The breadth of organizations with detailed notes demonstrates that displacement data is embedded in concrete, ongoing workflows rather than serving as a passive reference. Sustained investment in the IDMC platform translates into sustained capacity for evidence-based humanitarian response.
A selection of flagship platforms, publications and operational tools that embed IDMC's displacement figures into humanitarian, policy and research workflows — open each card to visit the source.
IDMC's internal displacement figures are featured alongside UNHCR refugee data, giving policymakers and researchers a unified view of forced displacement across refugees, asylum-seekers and IDPs.
Visit siteHDX Signals uses IDMC's Internal Displacement Updates (IDU) to alert humanitarians when crises deteriorate — a key trigger for rapid assessment and response.
Visit siteWFP and Netlight turn IDMC data into operational displacement and crisis-response insights, feeding dashboards that support planning across WFP country offices.
Visit siteIDMC's GIDD and IDU datasets are published on HDX — OCHA's open-data hub used by thousands of humanitarian responders, researchers and journalists worldwide.
Visit siteThe Warsaw International Mechanism for Loss and Damage references IDMC's systematic displacement monitoring as evidence for climate-related policy at the UN climate process.
Visit siteIFRC's Monty STAC-based disaster information model lists IDMC as a structured data source, embedding displacement figures into Red Cross / Red Crescent disaster records.
Visit siteIOM's Global Profiles for Internal Displacement integrate IDMC figures into country-level displacement profiles used by governments, UN agencies and operational partners.
Visit siteThe World Bank publishes IDMC's country-level stock of internally displaced persons (SM.POP.IDPC) as a core development indicator in its global data catalogue.
Visit siteA searchable catalogue of reports and publications that draw on IDMC data — spanning academic research, policy briefs and humanitarian programming worldwide.
Visit site