Method & sources
Everything on this site is computed from open datasets published on the Humanitarian Data Exchange (HDX) by OCHA's Humanitarian API (HAPI), which republishes data from the original providers named below. No data is collected from visitors.
Datasets used
Democratic Republic of the Congo
CODFetched: 2026-09-20T18:04:29 UTC
| Dataset | Last modified | Licence | Rows | Unmatched |
|---|---|---|---|---|
| Operational presence (3W: who does what where) Coordination & Context: Operational Presence for Democratic Republic of the Congo |
2026-09-18 | Other | 931 | 0 |
| Internally displaced persons Affected People: Internally-Displaced Persons for Democratic Republic of the Congo |
2026-09-18 | Other | 2,015 | 14 |
| Food security (IPC / Cadre Harmonisé) Food Security, Nutrition & Poverty: Food Security for Democratic Republic of the Congo |
2026-08-25 | Other | 18,557 | 1,155 |
| Conflict events Coordination & Context: Conflict Events for Democratic Republic of the Congo |
2026-09-19 | Other | 201,348 | 26,775 |
| Humanitarian needs Affected People: Humanitarian Needs for Democratic Republic of the Congo |
2026-01-30 | Other | 313 | — |
| Funding Coordination & Context: Funding for Democratic Republic of the Congo |
2026-09-19 | Other | — | — |
| Baseline population Geography & Infrastructure: Baseline Population for Democratic Republic of the Congo |
2026-05-28 | Other | — | — |
Sudan
SDNFetched: 2026-09-20T18:01:54 UTC
| Dataset | Last modified | Licence | Rows | Unmatched |
|---|---|---|---|---|
| Operational presence (3W: who does what where) Coordination & Context: Operational Presence for Sudan |
2026-09-18 | Other | 3,466 | 31 |
| Internally displaced persons Affected People: Internally-Displaced Persons for Sudan |
2026-09-18 | Other | 19,741 | 0 |
| Food security (IPC / Cadre Harmonisé) Food Security, Nutrition & Poverty: Food Security for Sudan |
2026-09-18 | Other | 26,793 | 351 |
| Conflict events Coordination & Context: Conflict Events for Sudan |
2026-09-19 | Other | 209,916 | 7,497 |
| Humanitarian needs Affected People: Humanitarian Needs for Sudan |
2026-02-11 | Other | 84,032 | — |
| Funding Coordination & Context: Funding for Sudan |
2026-09-19 | Other | — | — |
| Baseline population Geography & Infrastructure: Baseline Population for Sudan |
2026-05-28 | Other | — | — |
Mali
MLIFetched: 2026-09-20T18:02:31 UTC
| Dataset | Last modified | Licence | Rows | Unmatched |
|---|---|---|---|---|
| Operational presence (3W: who does what where) Coordination & Context: Operational Presence for Mali |
2026-09-18 | Other | 1,900 | 0 |
| Internally displaced persons Affected People: Internally-Displaced Persons for Mali |
2026-09-18 | Other | 3,394 | 0 |
| Food security (IPC / Cadre Harmonisé) Food Security, Nutrition & Poverty: Food Security for Mali |
2026-09-18 | Other | 5,965 | 342 |
| Conflict events Coordination & Context: Conflict Events for Mali |
2026-09-19 | Other | 56,763 | 0 |
| Humanitarian needs Affected People: Humanitarian Needs for Mali |
2026-02-11 | Other | 8,642 | — |
| Funding Coordination & Context: Funding for Mali |
2026-09-18 | Other | — | — |
| Baseline population Geography & Infrastructure: Baseline Population for Mali |
2026-02-05 | Other | — | — |
Burkina Faso
BFAFetched: 2026-09-20T18:03:03 UTC
| Dataset | Last modified | Licence | Rows | Unmatched |
|---|---|---|---|---|
| Operational presence (3W: who does what where) Coordination & Context: Operational Presence for Burkina Faso |
2026-09-18 | Other | 517 | 5 |
| Internally displaced persons Affected People: Internally-Displaced Persons for Burkina Faso |
2026-07-07 | Other | 15 | 9 |
| Food security (IPC / Cadre Harmonisé) Food Security, Nutrition & Poverty: Food Security for Burkina Faso |
2026-09-18 | Other | 4,585 | 266 |
| Conflict events Coordination & Context: Conflict Events for Burkina Faso |
2026-09-19 | Other | 48,195 | 16,065 |
| Humanitarian needs Affected People: Humanitarian Needs for Burkina Faso |
2026-02-11 | Other | 588 | — |
| Funding Coordination & Context: Funding for Burkina Faso |
2026-09-18 | Other | — | — |
| Baseline population Geography & Infrastructure: Baseline Population for Burkina Faso |
2026-05-28 | Other | — | — |
Niger
NERFetched: 2026-09-20T18:03:32 UTC
| Dataset | Last modified | Licence | Rows | Unmatched |
|---|---|---|---|---|
| Operational presence (3W: who does what where) Coordination & Context: Operational Presence for Niger |
2026-09-18 | Other | 843 | 6 |
| Internally displaced persons Affected People: Internally-Displaced Persons for Niger |
2026-06-23 | Other | 87 | 0 |
| Food security (IPC / Cadre Harmonisé) Food Security, Nutrition & Poverty: Food Security for Niger |
2026-09-18 | Other | 7,502 | 333 |
| Conflict events Coordination & Context: Conflict Events for Niger |
2026-09-19 | Other | 71,757 | 0 |
| Humanitarian needs Affected People: Humanitarian Needs for Niger |
2026-01-02 | Other | 4,410 | — |
| Funding Coordination & Context: Funding for Niger |
2026-09-18 | Other | — | — |
| Baseline population Geography & Infrastructure: Baseline Population for Niger |
2026-05-28 | Other | — | — |
Mozambique
MOZFetched: 2026-09-20T18:03:59 UTC
| Dataset | Last modified | Licence | Rows | Unmatched |
|---|---|---|---|---|
| Operational presence (3W: who does what where) Coordination & Context: Operational Presence for Mozambique |
2026-09-18 | Other | 1,187 | 116 |
| Internally displaced persons Affected People: Internally-Displaced Persons for Mozambique |
2026-09-18 | Other | 1,524 | 306 |
| Food security (IPC / Cadre Harmonisé) Food Security, Nutrition & Poverty: Food Security for Mozambique |
2026-09-18 | Other | 7,709 | 232 |
| Conflict events Coordination & Context: Conflict Events for Mozambique |
2026-09-19 | Other | 170,289 | 41,769 |
| Humanitarian needs Affected People: Humanitarian Needs for Mozambique |
2026-07-09 | Other | 15,893 | — |
| Funding Coordination & Context: Funding for Mozambique |
2026-09-19 | Other | — | — |
| Baseline population Geography & Infrastructure: Baseline Population for Mozambique |
2026-07-09 | Other | — | — |
Aggregation rules
- Operational presence (3W: who does what where) — The source publishes one row per district, organisation and sector. Organisations are de-duplicated by acronym, name and type; the sectors each one reported are listed together. An organisation counts as national or local when the dataset's organisation type is National NGO or Government. Rows without a district p-code are dropped and counted below.
- Food security (IPC / Cadre Harmonisé) — Only rows of type 'current' (an observed analysis, not a projection) at admin level 2 are used. For each district the single most recent reference period is taken and its phase breakdown shown. Rows published at admin level 2 without a p-code are dropped and counted below, never redistributed.
- Internally displaced persons — For each district the rows with the most recent reference period end are taken. The same figure is often published by more than one monitoring operation or reporting round for the same month, so the maximum of the tied rows is used, never the sum, which would double-count.
- Conflict events — Monthly counts for the last 12 published months, kept separately for each event category. ACLED's three categories are NOT mutually exclusive - an event counted as violence against civilians is normally also counted as political violence - so this site never adds them together. The country and district tables use political violence alone as the comparable headline.
- Funding — Rows without a stated requirement, and rows for reference periods that have not started yet, are dropped; the most recent remaining appeal period is shown. Percentages come from the dataset where published and are otherwise funded divided by required.
- Humanitarian needs — Used at country level only, from the Intersectoral rows without a disaggregation category, for the latest reference period. Most countries do not publish these figures at district level.
Gap score
Gap score = people in IPC/CH phase 3 or worse (latest current analysis at district level) divided by (number of listed organisations + 1). The +1 keeps districts with zero listed organisations on the same scale instead of dividing by zero, so a district with recorded need and nobody listed scores its full phase-3+ population and rises to the top. The raw inputs are always printed next to the score. This is a screening signal for where to ask questions, not a measure of unmet need.
gap = phase_3plus_population / (listed_organisations + 1)
Absence from a dataset is not absence on the ground
Rows we could not place
Rows without a district p-code cannot be attached to a district page. We never guess a location. The counts below are the rows dropped for each dataset.
| Country | Dataset | Rows | Unmatched |
|---|---|---|---|
| Democratic Republic of the Congo | Food security (IPC / Cadre Harmonisé) | 18,557 | 1,155 |
| Democratic Republic of the Congo | Internally displaced persons | 2,015 | 14 |
| Democratic Republic of the Congo | Conflict events | 201,348 | 26,775 |
| Sudan | Operational presence (3W: who does what where) | 3,466 | 31 |
| Sudan | Food security (IPC / Cadre Harmonisé) | 26,793 | 351 |
| Sudan | Conflict events | 209,916 | 7,497 |
| Mali | Food security (IPC / Cadre Harmonisé) | 5,965 | 342 |
| Burkina Faso | Operational presence (3W: who does what where) | 517 | 5 |
| Burkina Faso | Food security (IPC / Cadre Harmonisé) | 4,585 | 266 |
| Burkina Faso | Internally displaced persons | 15 | 9 |
| Burkina Faso | Conflict events | 48,195 | 16,065 |
| Niger | Operational presence (3W: who does what where) | 843 | 6 |
| Niger | Food security (IPC / Cadre Harmonisé) | 7,502 | 333 |
| Mozambique | Operational presence (3W: who does what where) | 1,187 | 116 |
| Mozambique | Food security (IPC / Cadre Harmonisé) | 7,709 | 232 |
| Mozambique | Internally displaced persons | 1,524 | 306 |
| Mozambique | Conflict events | 170,289 | 41,769 |
Known limits
- Operational presence is self-reported through humanitarian coordination structures. Small, local and informal organisations are the least likely to be listed, so a low count is a prompt to ask locally, not proof of absence.
- IPC / Cadre Harmonisé analyses cover different periods in different countries, and some districts are never analysed. Country totals are the sum of the districts that were analysed, not a national figure.
- Displacement figures come from different monitoring operations with different methods and coverage; they are not comparable between countries.
- Conflict event categories overlap and must not be summed. Event counts reflect reported events, and reporting coverage varies by place and period.
- Gap score uses food insecurity as the only proxy for need, because it is the one severity measure published at district level for all six countries. It ignores health, protection, water and education need.
- District p-codes are the only join key used. Rows without one are dropped rather than guessed.
- Community notes are moderated but unverified. They are labelled as such and kept separate from official data.
Translations
The interface text on this site was translated with machine assistance and reviewed for sense, not by professional translators. Place names, organisation names and sector names come from the source datasets and are shown as published. If a translation is wrong, please send a correction.
Attribution
Data is obtained from the OCHA Humanitarian Data Exchange (HDX) through the Humanitarian API (HAPI) country datasets. HAPI republishes data produced by the original providers, who should be credited for it.
- Operational presence: national humanitarian coordination structures and OCHA country offices (3W / who does what where).
- Food security: IPC (Integrated Food Security Phase Classification) and, in the Sahel, the Cadre Harmonisé.
- Internal displacement: IOM Displacement Tracking Matrix (DTM) and national partners.
- Conflict events: ACLED (Armed Conflict Location & Event Data Project).
- Humanitarian needs and funding: OCHA (HPC / Financial Tracking Service).
- Baseline population: national statistical offices via OCHA HDX.
- Licences for each dataset are listed in the table above and apply to the underlying data.