Demonstration prototype. Figures and text are generated automatically from open data and AI models and may contain errors or be out of date: quality-assure against the linked sources before using anything in a decision.

Open to everyone; gathered 8 November 2026 and updated each night. Conflict-event data (ACLED) is shown to signed-in reviewers only.

Country page

Nigeria

Aid recipient

Nigeria is on the OECD DAC List of ODA Recipients for 2025 flows (group: lower middle-income countries and territories) (OECD ↗).

Open data gathered 8 Nov 2026, 23:45 UTC · 66 data cards · each card names its dataset, period and retrieval date

Nigeria on one screen

Figures from the cards below, each with its period; the number after a figure opens its card, with the dataset and retrieval date.

Aid
USD 4,706.1m official aid, all sectors, 2024 (+35% since 2019, current USD) E28. Main donors, 2024: World Bank (IDA) 49%, United States 20%, Global Fund 7%. Donors whose total aid (all recipients) fell more than 10%, 2024→2025 (provisional): United States −56%, Germany −16% E69.
Appeal
2026 appeal 71% funded to date (USD 366.3m of 516.4m); 2025: 32%. E36
Need
5.9 million people in need (2026 plan) E53. 17.0–18.0 million in acute food insecurity (Phase 3+) in Oct 2026, FEWS NET estimate; the Cadre Harmonisé had 27.2 million in Phase 3+ in Oct–Dec 2025 (a different method) E54.
Crisis
Severity 8.6/10 (very high, stable; ACAPS, October 2026) E45; access constraints 4/5 (very high, Nov 2026) E46.
Norway
NOK 136.5m in 2025, net of NOK 5.6m returned (Norway's data) E1; main partners 2021–2025: FAO, UNICEF, Norwegian Refugee Council E2. More ↓

Newest figure: Nov 2026 (ACAPS access) · Oldest: 2024 (OECD CRS) · Older than the source usually is: acute food insecurity (Oct–Dec 2025).

Crisis severity (all crisis types, incl. conflict) and natural-hazard alerts

Retrieved 8 Nov 2026 · ACAPS crisis severity: October 2026 · ACAPS access: Nov 2026 · GDACS alerts: 8 Nov 2025 – 8 Nov 2026

Nigeria: ACAPS severity 8.5 of 10, Multiple Crises in Nigeria (very high, ACAPS)Wildfire: Forest fires in Nigeria (Green, 2026-10-28)Wildfire: Forest fires in Nigeria (Green, 2026-10-29)Wildfire: Forest fires in Nigeria (Green, 2026-11-03)Wildfire: Forest fires in Nigeria, Cameroon (Green, 2026-11-05)Wildfire: Forest fires in Nigeria (Green, 2026-11-04)Wildfire: Forest fires in Nigeria (Green, 2026-10-25)Wildfire: Forest fires in Nigeria (Green, 2026-10-31)Wildfire: Forest fires in Nigeria (Green, 2026-11-03)Wildfire: Forest fires in Nigeria (Green, 2026-10-30)Wildfire: Forest fires in Nigeria, Cameroon (Green, 2026-10-30)Wildfire: Forest fires in Nigeria, Cameroon (Green, 2026-10-28)Wildfire: Forest fires in Nigeria (Green, 2026-10-18)Wildfire: Forest fires in Nigeria (Green, 2026-10-24)Wildfire: Forest fires in Nigeria, Cameroon (Green, 2026-10-24)Wildfire: Forest fires in Nigeria, Cameroon (Green, 2026-10-24)Wildfire: Forest fires in Nigeria (Green, 2026-10-31)Wildfire: Forest fires in Nigeria (Green, 2026-10-28)Wildfire: Forest fires in Nigeria, Cameroon (Green, 2026-10-28)Wildfire: Forest fires in Nigeria, Cameroon (Green, 2026-10-30)Wildfire: Forest fires in Nigeria (Green, 2026-10-28)Wildfire: Forest fires in Nigeria (Green, 2026-10-25)Wildfire: Forest fires in Nigeria (Green, 2026-10-27)Wildfire: Forest fires in Nigeria (Green, 2026-10-26)Wildfire: Forest fires in Chad, Nigeria, Cameroon (Green, 2026-10-15)Flood: Flood in Nigeria (Green, 2026-09-21)Wildfire: Forest fires in Nigeria (Green, 2026-10-21)Wildfire: Forest fires in Chad, Nigeria (Green, 2026-10-09)Wildfire: Forest fires in Nigeria, Cameroon (Green, 2026-10-09)Wildfire: Forest fires in Nigeria (Green, 2026-10-16)Wildfire: Forest fires in Nigeria, Cameroon (Green, 2026-10-17)Wildfire: Forest fires in Nigeria (Green, 2026-10-18)Wildfire: Forest fires in Nigeria (Green, 2026-10-14)Wildfire: Forest fires in Chad, Nigeria (Green, 2026-10-07)Wildfire: Forest fires in Nigeria (Green, 2026-10-13)Wildfire: Forest fires in Nigeria (Green, 2026-10-16)Wildfire: Forest fires in Chad, Nigeria, Cameroon (Green, 2026-10-07)Wildfire: Forest fires in Nigeria, Cameroon (Green, 2026-10-04)Wildfire: Forest fires in Nigeria (Green, 2026-10-07)Flood: Flood in Nigeria (Green, 2026-08-13)Flood: Flood in Nigeria (Green, 2026-08-16)Flood: Flood in Nigeria (Green, 2026-08-01)Flood: Flood in Nigeria (Green, 2026-07-01)Wildfire: Forest fires in Nigeria (Green, 2026-03-23)Wildfire: Forest fires in Nigeria (Green, 2026-02-19)Wildfire: Forest fires in Nigeria (Green, 2026-02-19)Wildfire: Forest fires in Nigeria (Green, 2026-02-18)Wildfire: Forest fires in Nigeria (Green, 2026-02-19)Wildfire: Forest fires in Nigeria (Green, 2026-02-12)Wildfire: Forest fires in Nigeria (Green, 2026-02-15)Wildfire: Forest fires in Nigeria (Green, 2026-02-17)Wildfire: Forest fires in Nigeria (Green, 2026-02-02)Wildfire: Forest fires in Nigeria (Green, 2026-01-22)Wildfire: Forest fires in Nigeria (Green, 2026-01-24)Wildfire: Forest fires in Nigeria (Green, 2026-01-23)Wildfire: Forest fires in Nigeria (Green, 2026-01-23)Wildfire: Forest fires in Nigeria (Green, 2026-01-20)Wildfire: Forest fires in Nigeria (Green, 2026-01-20)Wildfire: Forest fires in Nigeria (Green, 2026-01-17)Wildfire: Forest fires in Nigeria (Green, 2026-01-19)Wildfire: Forest fires in Nigeria (Green, 2026-01-19)Wildfire: Forest fires in Nigeria (Green, 2026-01-19)Wildfire: Forest fires in Nigeria (Green, 2026-01-16)Wildfire: Forest fires in Nigeria (Green, 2026-01-20)Wildfire: Forest fires in Nigeria (Green, 2026-01-25)Wildfire: Forest fires in Nigeria (Green, 2026-01-19)Wildfire: Forest fires in Nigeria (Green, 2026-01-21)Wildfire: Forest fires in Nigeria (Green, 2026-01-21)Wildfire: Forest fires in Nigeria (Green, 2026-01-20)Wildfire: Forest fires in Nigeria (Green, 2026-01-14)Wildfire: Forest fires in Nigeria (Green, 2026-01-15)Wildfire: Forest fires in Nigeria (Green, 2026-01-20)Wildfire: Forest fires in Nigeria (Green, 2026-01-17)Wildfire: Forest fires in Nigeria (Green, 2026-01-20)Wildfire: Forest fires in Nigeria (Green, 2026-01-20)Wildfire: Forest fires in Nigeria (Green, 2026-01-14)Wildfire: Forest fires in Nigeria (Green, 2026-01-12)Wildfire: Forest fires in Nigeria (Green, 2026-01-14)Wildfire: Forest fires in Nigeria (Green, 2026-01-14)Wildfire: Forest fires in Nigeria (Green, 2026-01-10)Wildfire: Forest fires in Nigeria (Green, 2026-01-11)Wildfire: Forest fires in Nigeria (Green, 2026-01-12)Wildfire: Forest fires in Nigeria (Green, 2026-01-15)Wildfire: Forest fires in Nigeria (Green, 2026-01-08)Wildfire: Forest fires in Nigeria (Green, 2026-01-07)Wildfire: Forest fires in Nigeria (Green, 2026-01-08)Wildfire: Forest fires in Nigeria (Green, 2026-01-03)Wildfire: Forest fires in Nigeria (Green, 2026-01-07)Wildfire: Forest fires in Nigeria (Green, 2026-01-03)Wildfire: Forest fires in Nigeria (Green, 2026-01-01)Wildfire: Forest fires in Nigeria (Green, 2026-01-01)Wildfire: Forest fires in Nigeria (Green, 2026-01-04)Wildfire: Forest fires in Nigeria (Green, 2026-01-02)Wildfire: Forest fires in Nigeria (Green, 2026-01-02)Wildfire: Forest fires in Nigeria (Green, 2026-01-03)Wildfire: Forest fires in Nigeria (Green, 2025-12-31)Wildfire: Forest fires in Nigeria (Green, 2025-12-28)Wildfire: Forest fires in Nigeria (Green, 2025-12-29)Wildfire: Forest fires in Nigeria (Green, 2025-12-29)

Dots: 98 GDACS alert records plotted in this frame (tap or hover for details); a geographic subset of the evidence card, not an exhaustive disaster count. See the card for the recorded event-start window. Their colour is GDACS's estimate of the need for international humanitarian assistance, not of local severity E64. Outlines: Natural Earth.

Crises tracked by ACAPS E45 E46 · severity 1 to 10, higher is more severe; access constraints 0 to 5, 5 is extreme

At a glance

Useful for:FundingHumanitarianEconomy and investmentGovernanceRisk and environmentDevelopment needs

5.9mpeople in need, Nigeria 2026 (all sectors)

Source: OCHA Humanitarian Needs Overview ↗ · E53Retrieved 2026-11-08

17.0–18.0mpeople in Phase 3+, Nigeria, Oct 2026 (FEWS NET estimate)

Source: FEWS NET ↗ · E54Retrieved 2026-11-08

8.5/10Crisis severity, Nigeria · October 2026

Source: ACAPS INFORM Severity ↗ · E45Retrieved 2026-11-08

4/5Access constraints, Nigeria · Nov 2026

Source: ACAPS Humanitarian Access ↗ · E46Retrieved 2026-11-08

71%of Nigeria's 2026 national appeal funded to date (2025: 32%)

Source: UN OCHA FTS ↗ · E36Retrieved 2026-11-08

Official aid, all sectors, rose 35%: 2019–2024All official donors in scope, current USD millions, gross disbursements; observations 2019–2024; OECD data by recipient end in 2024, 2025 due in December 2026
2019: 3,490.5 (USD millions)3,49020192020: 3,691.9 (USD millions)20202021: 3,895.3 (USD millions)20212022: 4,815.0 (USD millions)4,81520222023: 4,079.8 (USD millions)20232024: 4,706.1 (USD millions)4,7062024

USD millions

Source: OECD Creditor Reporting System ↗ · E28Retrieved 2026-10-17Dataset scope: OECD Creditor Reporting System, gross disbursements, current USD millions; recipients NGA (combined); all sectors (CRS total)

World Bank (IDA) provided 42% of official funding, 2019–2024Share of scoped gross disbursements over 2019–2024 combined, not a latest-year share
World Bank (IDA)42%
United States21%
Global Fund8%
United Kingdom5%
Global Alliance for Vaccines and Immunization4%

Source: OECD Creditor Reporting System ↗ · E28Retrieved 2026-10-17Dataset scope: OECD Creditor Reporting System, gross disbursements, current USD millions; recipients NGA (combined); all sectors (CRS total)

Syndicated loans led the USD 999.1m mobilised in 2024Private finance mobilised by official development finance, 2024, USD millions
Syndicated loans457.2
Direct investment354.9
Guarantees116.1
Fund shares44.8
Simple co-financing14.9
Credit lines11.3

Source: OECD, mobilised private finance for development ↗ · E41Retrieved 2026-10-22Dataset scope: OECD, mobilised private finance for development; recipients Nigeria (combined); current USD millions

Nigeria's 2026 appeal: 71% funded to dateNational humanitarian response plans, share of requirements funded; 2026 still being funded
Nigeria 2026 (in progress)71%
Nigeria 202460%
Nigeria 202532%

Source: UN OCHA Financial Tracking Service ↗ · E36Retrieved 2026-11-08Dataset scope: UN OCHA Financial Tracking Service, national humanitarian response plans 2024 to 2026, USD millions

Nigeria: 12% of people analysed in Phase 3 or worse (Oct–Dec 2025)Cadre Harmonisé acute food insecurity, share of the population analysed in Phase 3+ (Crisis or worse); current and projected periods; newest available (Oct–Dec 2025), older than this source usually is
Oct–Dec 202512%

FEWS NET estimates for Oct 2026, a different method not on the same scale: Nigeria 17.0–18.0 million people in Phase 3+.

Source: IPC / Cadre Harmonisé via HDX HAPI, FEWS NET ↗ · E54Retrieved 2026-11-08Dataset scope: Integrated Food Security Phase Classification (IPC) global country data, including Cadre Harmonisé results for West Africa and the Sahel, national figures via the HDX Humanitarian API; latest current analysis per country and its projections

Weakest score: control of corruption in Nigeria (27/100)Worldwide Governance Indicators, 0 to 100, higher is better; observations 2025; ticks: Score 2019

Control of corruption

Nigeria27

Regulatory quality

Nigeria44

Rule of law

Nigeria43

Political stability

Nigeria35

Source: World Bank WGI ↗ · E65Retrieved 2026-11-08Dataset scope: World Bank Worldwide Governance Indicators (absolute scores 0-100, higher is better; perception-based composites with wide margins of error) and World Development Indicators for FDI

Need against funding

Computed by the app from the evidence cards it links to, with fixed rules, so two briefs on the same scope say the same thing.

Where need is outpacing money E68

Computed by the app: OCHA FTS appeal by cluster 2025 (card E37) against people in need in the 2025 and 2024 Humanitarian Needs Overviews (OCHA via the HDX Humanitarian API, card E53).

ClusterPeople in need, 2025 (change)Appeal fundedAgainst the whole appealFunded per person in need (USD)Flag
Multi-sectorNo need figure (several sectors) n/a8% · USD 3.5 m of 45.0 m-24 pointsn/aCritically underfunded
Emergency Shelter and NFI3.41 m +12%14% · USD 7.6 m of 54.7 m-18 points2Severely underfundedgap widening
Water Sanitation Hygiene5.20 m +3%19% · USD 12.9 m of 67.2 m-13 points2Severely underfunded
Food Security5.15 m +18%22% · USD 77.6 m of 352.2 m-10 points15Severely underfundedgap widening
Health4.93 m -8%24% · USD 17.7 m of 74.1 m-8 points4Severely underfunded
LogisticsNo need figure (a service to other clusters) n/a33% · USD 8.4 m of 25.5 m+1 pointsn/aUnderfunded
Education1.65 m +6%39% · USD 14.0 m of 35.8 m+7 points8Underfundedgap widening
Nutrition4.80 m +27%48% · USD 63.2 m of 132.1 m+16 points13Underfundedgap widening

Critically underfunded: less than 10% of the cluster's appeal funded. Severely underfunded: 10% to less than 25%. Underfunded: 25% to less than 50%. Half funded or more: 50% or more; a gap remains until 100%. Gap widening (added to the band): less than 50% funded and people in need up 5% or more on the previous year's overview. There is no agreed threshold; these bands follow common usage, and the comparison with the whole appeal shows how the cluster fares against the rest of the response, as the UN's CERF does when it compares crises. Funded per person in need: funding received for the cluster divided by its people in need, the same year. People in need overlap between clusters, so they do not add up to the cross-sector figure. Lowest coverage first. The eight largest clusters by requirement are shown.

Donor concentration and cuts E69

Computed by the app: OECD CRS gross disbursements in this scope, 2024 (card E28), all official donors USD 4,706.1m; donors' total net ODA from OECD DAC1 (card E42).

World Bank (IDA)
49%multilateral: not assessed
United States
20%-56% total aid
Global Fund
7%multilateral: not assessed
France
5%-8% total aid
Global Alliance for Vaccines and Immunization [GAVI]
5%multilateral: not assessed
United Kingdom
4%+1% total aid
EU Institutions
3%+48% total aid
Germany
2%-16% total aid

donor's total aid fell more than 10% in the latest provisional year

  • 49% Largest donor's share
  • 75% Three largest donors' share
  • 22% Share from donors whose total aid fell more than 10% (2024→2025) (USD 1,029.9 m)
  • 11% Rough estimate for 2025, not a forecast: less in this scope if those cuts fell evenly (USD 532.3 m)

Exposed: a donor whose total aid fell more than 10% in the OECD's provisional latest year. Rough estimate method: each donor's 2024 aid in this scope, reduced by the same percentage as its total aid fell from 2024 to 2025 in the OECD's provisional figures, summed over donors that fell more than 10%; donors that did not cut count as unchanged. It assumes each donor cut this country as much as its overall aid; in practice donors protect some countries and cut others harder. The OECD's country figures for 2025 will replace it, usually about a year after the year ends. Only the donors listed on the OECD card are assessed; multilateral donors are not in the OECD's donor totals.

Money: who funds what

24 cards; open a card for its table and sources.

All donors, the United States and other funders

Who else funds this: all official donors (OECD CRS) · OECD DAC Creditor Reporting System

About this source: The OECD's database of aid activities reported by its Development Assistance Committee members, multilateral organisations and some foundations. It is the standard reference for who gives aid to whom and for what, and most published aid statistics are built from it. Figures arrive about a year after the year ends.

Trace this: OECD CRS dataflow (DSD_CRS@DF_CRS) in the OECD Data Explorer ↗

Rank of 2019, 2020, 2021, 2022, 2023, 2024 combined, all official donors in scopeDonorTrend2019 (USD m)2020 (USD m)2021 (USD m)2022 (USD m)2023 (USD m)2024 (USD m)Share of 2019, 2020, 2021, 2022, 2023, 2024 combined, all official donors in scope
1World Bank (IDA)Trend 2019–2024: 1,333 to 2,284 (6 years reported)1,332.71,212.21,295.42,422.71,776.62,284.242%
2United StatesTrend 2019–2024: 655 to 929 (6 years reported)654.8932.9919.8776.0968.6929.221%
3Global FundTrend 2019–2024: 216 to 316 (6 years reported)215.7266.3387.4391.9315.5316.18%
4United KingdomTrend 2019–2024: 328 to 176 (6 years reported)328.4309.4194.3140.0124.0176.05%
5Global Alliance for Vaccines and Immunization [GAVI]Trend 2019–2024: 189 to 212 (6 years reported)189.0157.5168.6135.8148.6211.84%
6FranceTrend 2019–2024: 51.0 to 230 (6 years reported)51.0203.8154.5191.8131.1229.74%
7EU InstitutionsTrend 2019–2024: 187 to 144 (6 years reported)186.6172.4156.1125.5117.6144.14%
8GermanyTrend 2019–2024: 163 to 101 (6 years reported)163.4123.6164.3122.7126.9100.73%
9CanadaTrend 2019–2024: 41.9 to 21.5 (6 years reported)41.940.160.482.133.121.51%
10UNICEFTrend 2019–2024: 45.7 to 44.2 (6 years reported)45.741.747.350.943.144.21%
15NorwayTrend 2019–2024: 21.0 to 21.0 (6 years reported)21.018.117.821.427.921.01%
All official donorsTrend 2019–2024: 3,490 to 4,706 (6 years reported)3,490.53,691.93,895.34,815.04,079.84,706.1100%
All official donors, constant 2024 USDTrend 2019–2024: 4,065 to 4,706 (6 years reported)4,064.64,185.24,149.25,179.84,181.64,706.1

OECD Creditor Reporting System, gross disbursements, current USD millions; recipients NGA (combined); all sectors (CRS total); retrieved 2026-10-17. 74 individual donors report in scope. Latest OECD year lags national data. All official donors: Trend: USD 3,490.5m in 2019 → USD 4,706.1m in 2024 (+35%); peak USD 4,815.0m in 2022. World Bank (IDA): Trend: USD 1,332.7m in 2019 → USD 2,284.2m in 2024 (+71%); peak USD 2,422.7m in 2022. United States: Trend: USD 654.8m in 2019 → USD 929.2m in 2024 (+42%); peak USD 968.6m in 2023. Global Fund: Trend: USD 215.7m in 2019 → USD 316.1m in 2024 (+47%); peak USD 391.9m in 2022. All official donors in constant 2024 USD (the OECD's own deflators, which also take out exchange-rate changes): USD 4,064.6m in 2019 → USD 4,706.1m in 2024 (+16%); peak USD 5,179.8m in 2022. Rank and share use the combined displayed years and all official donors, including multilateral institutions; not a single-year or bilateral-only comparison.

Other donors' largest projects in scope (OECD CRS, 2023 to 2024) · OECD Creditor Reporting System (project-level records)

About this source: The OECD's database of aid activities reported by its Development Assistance Committee members, multilateral organisations and some foundations. It is the standard reference for who gives aid to whom and for what, and most published aid statistics are built from it. Figures arrive about a year after the year ends.

Trace this: OECD CRS dataflow (DSD_CRS@DF_CRS) in the OECD Data Explorer ↗

DonorProjectChannel of deliveryRecipientDisbursed (USD m)
World Bank (IDA)Nigeria Reforms for Economic Stabilization to Enable Transformation (RESET) DPFRecipient GovernmentNigeria525.0
International Bank for Reconstruction and Development [IBRD]Nigeria Reforms for Economic Stabilization to Enable Transformation (RESET) DPFRecipient GovernmentNigeria525.0
World Bank (IDA)National Social Safety Net Program-Scale UpRecipient GovernmentNigeria315.0
World Bank (IDA)NIGERIA: Community Action (for) Resilience and Economic Stimulus ProgramRecipient GovernmentNigeria256.3
World Bank (IDA)Adolescent Girls Initiative for Learning and EmpowermentRecipient GovernmentNigeria229.7
World Bank (IDA)Nigeria: Improved Child Survival Program for Human Capital MPARecipient GovernmentNigeria199.8
World Bank (IDA)Nigeria Electrification ProjectRecipient GovernmentNigeria183.1
World Bank (IDA)Power Sector Recovery Performance Based OperationRecipient GovernmentNigeria181.8
Global Alliance for Vaccines and Immunization [GAVI]New vaccine support (NVS)United Nations Children’s FundNigeria181.3
World Bank (IDA)Better Education Service Delivery for AllRecipient GovernmentNigeria173.4
World Bank (IDA)NG-Electricity Transmission ProjectRecipient GovernmentNigeria173.2
United StatesGlobal Health Supply Chain - Procurement and Supply Management (GSHC-PSM) IDIQ - HIV/AIDS Task OrderPrivate sector in provider countryNigeria158.1

OECD CRS project-level records, gross disbursements 2023 to 2024, current USD millions; recipients NGA; all sectors; Norway excluded (see the Norwegian data); retrieved 2026-10-22. 2462 projects from 72 donors report in scope. Titles and descriptions are donor-reported; a project may cover more than the sector named.

Humanitarian response plans: required vs funded (UN OCHA FTS) · UN OCHA Financial Tracking Service

About this source: The UN's tracking of humanitarian funding against appeals and response plans, from what donors and agencies report. It is the usual source for how well funded an appeal is; recent figures grow as reports come in.

Trace this: FTS plan: Nigeria 2024 ↗ · FTS plan: Nigeria 2025 ↗ · FTS plan: Nigeria 2026 ↗ · FTS response plans overview, 2024 (all countries) ↗ · FTS response plans overview, 2025 (all countries) ↗ · FTS response plans overview, 2026 (all countries) ↗

CountryYearRequired (USD m)Funded (USD m)Coverage
Nigeria2024926.5556.460%
Nigeria2025910.2287.332%
Nigeria2026 (in progress)516.4366.371%

UN OCHA Financial Tracking Service, national humanitarian response plans 2024 to 2026, USD millions; retrieved 2026-11-08. Humanitarian appeals only (not development aid). The current year is still being funded. Coverage = funded / required. Use each row's plan year. Historical cluster funding does not establish current cluster coverage or persistent unmet need. Current country totals cannot supply a missing current cluster split; financial coverage is not needs met.

Humanitarian funding by cluster, 2025 (UN OCHA FTS) · UN OCHA Financial Tracking Service

About this source: The UN's tracking of humanitarian funding against appeals and response plans, from what donors and agencies report. It is the usual source for how well funded an appeal is; recent figures grow as reports come in.

Trace this: FTS plan: Nigeria 2025 ↗ · FTS response plans overview, 2025 (all countries) ↗

CountryClusterRequired (USD m)Funded (USD m)Coverage
NigeriaFood Security352.277.622%
NigeriaNutrition132.163.248%
NigeriaHealth74.117.724%
NigeriaWater Sanitation Hygiene67.212.919%
NigeriaEmergency Shelter and NFI54.77.614%
NigeriaMulti-sector45.03.58%
NigeriaEducation35.814.039%
NigeriaLogistics25.58.433%

UN OCHA FTS, national humanitarian response plans 2025, eight largest clusters by requirement, USD millions; retrieved 2026-11-08. Nigeria 2025 largest donors: United States of America, Government of USD 73.1m; United Kingdom, Government of USD 60.6m; European Commission's Humanitarian Aid and Civil Protection Department USD 39.5m; Germany, Government of USD 12.4m; Swedish International Development Cooperation Agency (SIDA) USD 11.8m.

Country-based pooled fund allocations by partner type (OCHA CBPF) · UN OCHA Country-Based Pooled Funds (CBPF)

About this source: Funds in individual crises, managed by OCHA, that pool donor money and allocate it to UN agencies and NGOs, including national and local organisations. They show who receives humanitarian money inside the country.

Trace this: OCHA CBPF data hub (allocations by fund and partner) ↗ · CBPF API: allocations by year, fund and partner type ↗

FundAllocation yearUN agencies (USD m)International NGOs (USD m)National NGOs (USD m)Other organisations (USD m)Total approved (USD m)National NGO share
Nigeria2026 (to date)73.0043.605.600.30122.504.6%
Nigeria20250.105.7013.500.3019.6068.9%
Nigeria20240.6011.227.180.0019.0037.8%

UN OCHA Country-Based Pooled Funds; funds Nigeria; allocation years 2024-2026 (2026 to date); approved budgets, USD millions; retrieved 2026-11-08. Approved allocations only (pipeline excluded); the current year is still being allocated, and years with no approved allocation are not shown. The national NGO share counts direct allocations, not sub-grants, so it is not the whole local share. Approved allocations as recorded by OCHA; one project counted once. Pooled funds allocate in rounds to partners that passed the fund's eligibility and capacity checks: past allocations are not open calls. Direct recipients only: sub-grants to other partners are not shown. Already counted in the FTS funding figures: never add them.

Largest pooled-fund partners (OCHA CBPF) · UN OCHA Country-Based Pooled Funds (CBPF)

About this source: Funds in individual crises, managed by OCHA, that pool donor money and allocate it to UN agencies and NGOs, including national and local organisations. They show who receives humanitarian money inside the country.

Trace this: CBPF API: Nigeria project records (CSV) ↗

OrganisationTypeFundProjectsIn the clusters covered (USD m)All approved (USD m)Largest clustersAllocation years
World Food ProgrammeUN AgencyNigeria249.0049.10Food Security, Emergency Telecommunications2025, 2026 (to date)
United Nations Children's FundUN AgencyNigeria114.8014.80Nutrition, Water, Sanitation and Hygiene2026 (to date)
International Rescue CommitteeInternational NGONigeria512.3912.39Nutrition, Health, Water, Sanitation and Hygiene2024, 2025, 2026 (to date)
INTERSOSInternational NGONigeria69.669.81Nutrition, Health, Water, Sanitation and Hygiene2024, 2025, 2026 (to date)
Save the Children FundInternational NGONigeria29.439.43Nutrition, Health2025, 2026 (to date)
Mercy CorpsInternational NGONigeria28.408.40Nutrition, Water, Sanitation and Hygiene, Food Security2024, 2026 (to date)
Family Health International NigeriaInternational NGONigeria67.807.80Nutrition, Health, Water, Sanitation and Hygiene2024, 2025, 2026 (to date)
United Nations High Commissioner for RefugeesUN AgencyNigeria14.204.20Protection2026 (to date)
International Organization for MigrationUN AgencyNigeria23.355.60Water, Sanitation and Hygiene, Logistics, Emergency Shelter and NFI2024, 2026 (to date)
GRASSROOT LIFE SAVING OUTREACHNational NGONigeria52.412.41Health, Food Security, Water, Sanitation and Hygiene2024, 2025, 2026 (to date)

UN OCHA Country-Based Pooled Funds; funds Nigeria; allocation years 2024-2026 (2026 to date); approved budgets, USD millions; retrieved 2026-11-08. Ranked by approved budget in the clusters covered (Emergency Shelter and NFI, Food Security, Health, Nutrition, Protection, Water, Sanitation and Hygiene); top ten. Approved allocations as recorded by OCHA; one project counted once. Pooled funds allocate in rounds to partners that passed the fund's eligibility and capacity checks: past allocations are not open calls. Direct recipients only: sub-grants to other partners are not shown. Already counted in the FTS funding figures: never add them.

UN Central Emergency Response Fund allocations (CERF) · UN Central Emergency Response Fund (CERF)

About this source: The UN's global emergency fund, which releases money quickly to UN agencies and IOM for sudden or underfunded crises. Its grants signal where the UN sees urgent or neglected needs.

Trace this: CERF allocations (HDX, all countries and years) ↗ · CERF allocations by country ↗

CountryYearRapid Response (USD m)Underfunded Emergencies (USD m)Total approved (USD m)In the clusters covered (USD m)EmergenciesLargest recipient agenciesLatest approval
Nigeria2026 (to date)8.000.008.004.00Cholera, Violence/ClashesWorld Food Programme, World Health Organization, United Nations Children’s Fund2026-06-03
Nigeria202511.000.0011.009.25Economic Disruption, FloodUnited Nations Children’s Fund, World Food Programme, World Health Organization, International Organization for Migration2025-08-14
Nigeria202416.000.0016.0015.14Drought, FloodWorld Food Programme, United Nations Children’s Fund, Food and Agriculture Organization, International Organization for Migration2024-10-22

UN CERF; countries NGA; 2024-2026 (2026 to date); approved amounts, USD millions; retrieved 2026-11-08. the clusters covered here: Early recovery, Education, Food security, Health, Nutrition, Protection, Shelter and NFI, Water, sanitation, hygiene. Approved CERF grants by year; the current year is to date. CERF funds UN agencies and IOM only, which may pass funds on to partners. 'Agency to be confirmed' is approved money not yet split between agencies. Already counted in the FTS funding figures: never add them. Not an open call.

Private finance mobilised by official development finance (OECD) · OECD, mobilised private finance for development

About this source: The OECD's measure of private money brought in by public development finance, for example through guarantees or co-investment. It is the main reference for blended finance; amounts follow the OECD's attribution rules and are published here for groups of providers.

Trace this: OECD mobilised private finance dataflow (DSD_MOB@DF_MOBILISATION) ↗

MechanismTrend2022 (USD m)2023 (USD m)2024 (USD m)
Direct investment in companies and SPVsTrend 2022–2024: 249 to 355 (3 years reported)249.3112.5354.9
Syndicated loansTrend 2022–2024: 121 to 457 (3 years reported)120.793.9457.2
GuaranteesTrend 2022–2024: 240 to 116 (3 years reported)239.7141.4116.1
Credit linesTrend 2022–2024: 66.9 to 11.3 (3 years reported)66.995.511.3
Shares in investment funds (CIVs)Trend 2022–2024: 15.0 to 44.8 (3 years reported)15.010.344.8
Simple co-financingTrend 2022–2024: 46.3 to 14.9 (3 years reported)46.30.314.9
All mechanisms, all sectorsTrend 2022–2024: 738 to 999 (3 years reported)738.0453.9999.1
of which by multilateral banks and funds (all sectors)Trend 2022–2024: 384 to 676 (3 years reported)384.0273.9676.2
of which by bilateral donors (DAC) (all sectors)Trend 2022–2024: 354 to 323 (3 years reported)354.0180.0322.9

OECD, mobilised private finance for development; recipients Nigeria (combined); current USD millions; retrieved 2026-10-22. Private money that official donors and development banks brought into projects through guarantees, loans, equity and co-financing. Published for groups of providers only, not per institution. Guarantees: Trend: USD 239.7m in 2022 → USD 116.1m in 2024 (-52%); peak USD 239.7m in 2022. Mechanism and provider-group rows cover ALL sectors; only the explicitly labelled selected-sector subtotal covers the sectors covered. No sector-level provider split is in the data. Latest amount, absolute increase and percentage growth are different comparisons; the highlighted trend is not a growth ranking.

Donors' total aid (net ODA), all recipients (2021 to 2025, 2025 provisional) · OECD DAC1 (includes preliminary data)

About this source: The OECD's headline aid totals for each donor, the source of the yearly figures on aid as a share of national income. It shows a donor's overall trend, not where the money goes.

Trace this: OECD DAC1 dataflow (DSD_DAC1@DF_DAC1) in the OECD Data Explorer ↗

DonorTrend2021 (USD m)2022 (USD m)2023 (USD m)2024 (USD m)2025 (USD m) provisional
United StatesTrend 2021–2025: 47,528 to 29,022 (5 years reported)47,528.260,328.764,461.965,336.829,021.9
United KingdomTrend 2021–2025: 16,278 to 16,365 (5 years reported)16,277.815,761.318,615.716,269.516,365.1
FranceTrend 2021–2025: 16,722 to 13,906 (5 years reported)16,721.917,560.915,862.015,073.813,905.7
EU InstitutionsTrend 2021–2025: 20,639 to 52,905 (5 years reported)20,639.127,165.937,544.235,654.152,904.8
GermanyTrend 2021–2025: 32,456 to 28,032 (5 years reported)32,455.636,444.641,253.333,249.328,032.0
CanadaTrend 2021–2025: 6,258 to 10,131 (5 years reported)6,257.79,274.19,058.08,422.910,131.3
NorwayTrend 2021–2025: 4,673 to 5,157 (5 years reported)4,673.05,161.05,292.94,905.35,156.8

OECD DAC1, net ODA disbursements to all recipients and sectors, current USD millions; retrieved 2026-11-08. Shows each donor's overall aid, not its spending in this country or sector. 2025 figures are the OECD's preliminary estimates of aid already disbursed that year (not forecasts) and may be revised. United States: USD 65,336.8m in 2024 → USD 29,021.9m in 2025 (-56% in one year). United Kingdom: USD 16,269.5m in 2024 → USD 16,365.1m in 2025 (+1% in one year). France: USD 15,073.8m in 2024 → USD 13,905.7m in 2025 (-8% in one year). EU Institutions: USD 35,654.1m in 2024 → USD 52,904.8m in 2025 (+48% in one year). Germany: USD 33,249.3m in 2024 → USD 28,032.0m in 2025 (-16% in one year). The same donors in this country and sector (OECD CRS, gross disbursements; ends earlier): United States: USD 654.8m in 2019 → USD 929.2m in 2024. United Kingdom: USD 328.4m in 2019 → USD 176.0m in 2024. France: USD 51.0m in 2019 → USD 229.7m in 2024. EU Institutions: USD 186.6m in 2019 → USD 144.1m in 2024. Germany: USD 163.4m in 2019 → USD 100.7m in 2024. Canada: USD 41.9m in 2019 → USD 21.5m in 2024. Norway: USD 21.0m in 2019 → USD 21.0m in 2024. Measure: net ODA disbursement flows in current USD, not budgets or grant-only funding. Preserve the provisional label on the corresponding observation year.

US foreign assistance by fiscal year (ForeignAssistance.gov), to FY2026 · ForeignAssistance.gov (US government)

About this source: The US government's own record of its foreign assistance: every obligation and payment by country, sector, agency and implementing partner, published much sooner than the OECD's data. It shows the effect of the 2025 US cuts country by country; economic and military aid are kept apart.

Trace this: ForeignAssistance.gov data downloads ↗

CountryMeasureFY2021 (USD m)FY2022 (USD m)FY2023 (USD m)FY2024 (USD m)FY2025 (USD m)FY2026 to date (USD m)Trend
NigeriaDisbursed, all economic aid924.8972.81,009.9875.3729.0276.1Trend 2021–2025: 925 to 729 (5 years reported)
NigeriaDisbursed, in the sectors covered655.2637.7696.2515.6416.7149.5Trend 2021–2025: 655 to 417 (5 years reported)
NigeriaNewly obligated (committed), in the sectors covered587.4740.6596.8530.1329.610.8Trend 2021–2025: 587 to 330 (5 years reported)

US government obligations and disbursements of economic (non-military) assistance, current USD, from the ForeignAssistance.gov complete dataset (file of Wed, 02 Sep 2026 17:40:59 GMT); loaded 2026-10-14; retrieved 2026-10-14. US fiscal years run October to September; FY2026 is incomplete. Obligations are new commitments; disbursements are payments, often against earlier commitments, so they fall later than obligations. Agencies report with a lag and revise. Sectors use the OECD codes the US assigns, which can differ from the recipient's or the OECD's classification. Military and security assistance is excluded. Partners the US withholds by name (redacted) are left out of the partner list. Largest implementing partners by disbursements, FY2025–FY2026: World Food Program (USD 65.8m); U.S. Government - U.S. Agency for International Development (USD 49.2m); United Nations Children's Fund (USD 39.9m); U.S. Government - Department of Health and Human Services (USD 13.2m); KNCV Tuberculosis Foundation (USD 10.6m).

Private foundations in scope (OECD PPFD) · OECD Private Philanthropy for Development (reporting foundations)

About this source: Foundations that report their grants to the OECD in the same format as government donors, among them the largest ones. Useful for comparing peer foundations; most smaller foundations do not report.

Trace this: OECD PPFD: exact scoped aggregate query (CSV) ↗

RankFoundationTrend2019 (USD m)2020 (USD m)2021 (USD m)2022 (USD m)2023 (USD m)2024 (USD m)Reported period total (USD m)
1Gates FoundationTrend 2019–2024: 178 to 294 (6 years reported)178.487161.558169.672205.111209.204293.9901,218.024
2Mastercard FoundationTrend 2019–2023: 19.3 to 61.6 (5 years reported)19.32266.59052.98771.21761.598not reported271.715
3Good Ventures FoundationTrend 2021–2024: 18.3 to 5.8 (4 years reported)not reportednot reported18.25914.98997.1565.754136.158
4John D. and Catherine T. MacArthur FoundationTrend 2019–2024: 23.1 to 18.3 (6 years reported)23.08918.59833.26527.24811.26218.289131.750
5Ford FoundationTrend 2019–2024: 7.2 to 12.4 (6 years reported)7.2159.43911.64013.3828.13012.43862.244
6Children's Investment Fund FoundationTrend 2019–2023: 4.8 to 7.6 (5 years reported)4.7602.0689.72110.0467.564not reported34.159
7Rockefeller FoundationTrend 2019–2022: 6.1 to 1.2 (4 years reported)6.0824.0525.5661.222not reportednot reported16.921
8Bezos Earth Fundnot reportednot reportednot reported16.667not reportednot reported16.667
9Wellcome TrustTrend 2019–2024: 0.214 to 4.3 (6 years reported)0.2140.1522.6471.3986.7034.25315.366
10Conrad N. Hilton FoundationTrend 2019–2024: 0.18 to 1.2 (6 years reported)0.1800.0541.5563.8472.5471.2149.399

OECD Private Philanthropy for Development; recipients NGA; all sectors; 2019-2024; gross disbursements, current USD millions; retrieved 2026-10-22. Top ten by sum of available observations. OECD reporting foundations only, not all private philanthropy; absence is not proof of no activity. Missing observations are not zero. Do not add to official aid, humanitarian funding or mobilised-private-finance totals: scopes may overlap. Foundation projects are listed in a brief for one or a few sectors.

Current activities reported to IATI: who is active now, and through whom · IATI Datastore (activities as published by each organisation)

About this source: The International Aid Transparency Initiative: an open standard under which donors, UN agencies and NGOs publish their own activity data, often more up to date than the OECD's. Completeness and quality depend on each publisher.

Trace this: OCHA Field activities, Nigeria (United Nations Office for the Coordination of Humanitarian Affairs) ↗ · Fair Finance International 2024-2027 (Sweden) ↗ · UNDP Support to stabilization process in the Lake Chad Basin (Sweden) ↗

CountryPublisherActivityImplementing organisationsStartPlanned endLast updatedIATI identifier
NigeriaUnited Nations Office for the Coordination of Humanitarian AffairsOCHA Field activities, NigeriaUNOCHA2015-01-012030-12-312026-11-08XM-DAC-41127-O614
NigeriaSwedenFair Finance International 2024-2027Not stated2024-01-012028-09-302026-11-08SE-0-SE-6-16605
NigeriaSwedenUNDP Support to stabilization process in the Lake Chad Basin region 2025-2028Not stated2025-09-302029-08-312026-11-08SE-0-SE-6-17045
NigeriaMinistry of Foreign Affairs, DenmarkTech4Youth - Digital Transformation Center NigeriaNot stated2025-01-012028-12-312026-11-08XM-DAC-3-1-289124-37222
NigeriaMinistry of Foreign Affairs, DenmarkM and E for Tech4Youth - Digital Transformation Center NigeriaNot stated2025-01-012028-12-312026-11-08XM-DAC-3-1-289124-37943
NigeriaBelgian agency for international cooperation (Enabel)GGSP-CALAO Abidjan-Lagos et Abidjan-Ouagadougou : vers des corridors de développement verts et inclusifsNot stated2025-07-012029-06-302026-11-08BE-BCE_KBO-0264814354-CIV24001
NigeriaBelgian agency for international cooperation (Enabel)Securing Corridors, Ports and Exchanges in Western and Central Africa (SCOPE Africa)Not stated2025-02-012029-01-312026-11-08BE-BCE_KBO-0264814354-CIV24002
NigeriaCare NederlandMUL070N CASCADE - NigeriaCARE Nigeria2022-06-012026-12-312026-11-08NL-KVK-41158230-FANLNG0001
NigeriaOxfam NovibCO-Nigeria Sida Fair Finance 24 27Not stated2024-01-012027-12-312026-11-07NL-KVK-27108436-A-07122-05:NG
NigeriaOxfam NovibSida Nigeria Fair Finance 24 27 CISLACNot stated2024-01-012027-12-312026-11-07NL-KVK-27108436-A-07122-06:NG
NigeriaHaut-Commissaire des Nations Unies pour les réfugiés (HCR)UNHCR operation in NigeriaUnited Nations High Commissioner for Refugees (UNHCR)2025-01-012026-12-312026-11-06XM-DAC-41121-2025-WCA-NGA
NigeriaForeign Affairs, Trade and Development Canada (DFATD)Resilient and inclusive agri-food systems empowering women and youthNot stated2025-03-282029-12-312026-11-06CA-3-P013825001

IATI Datastore, activities in implementation (status 2) in Nigeria, all sectors; most recently updated first, at most two per publisher; activities whose planned end has passed or that have no end date and started over five years ago are left out; retrieved 2026-11-08. Published by each organisation to the IATI Standard, usually more current than the OECD but uneven: coverage depends on who publishes, and the same work can be reported by both funder and implementer. Leads to check, not a complete list; amounts are not shown or totalled here and must not be added to OECD or OCHA figures.

World Bank projects: pipeline and active · World Bank Projects API (active and pipeline projects)

About this source: The World Bank's own database of the projects it finances, with approved amounts, dates and status, including projects still in preparation.

Trace this: Nigeria - Beneficial Ownership Transparency (BOT) (P173108) ↗ · Nigeria Actions for Investment and Jobs Acceleration (P512892) ↗ · Nigeria Distributed Access through Renewable Energy Scale-up Project (P511862) ↗ · World Bank projects and operations ↗

CountryProjectProject IDStatusBoard approvalCommitment (USD m)Major sectorsClosing date
NigeriaNigeria - Beneficial Ownership Transparency (BOT)P173108PipelinePlanned 2020-02-280.5Public Administration2022-06-30
NigeriaNigeria Actions for Investment and Jobs AccelerationP512892Active2026-06-291,250.0Agriculture, Fishing and Forestry; Public Administration; Digital Development; Financial Sector; Energy and Mineral Resources; Industry, Trade and Services2027-12-31
NigeriaNigeria Distributed Access through Renewable Energy Scale-up ProjectP511862Active2026-06-24242.9Energy and Mineral ResourcesNot reported
NigeriaNigeria: CBN Technical Assistance (TA) FacilityP509481Active2026-06-196.1Digital Development; Financial Sector2029-06-30
NigeriaNigeria Sustainable Agricultural Value-Chains for Growth (AGROW) ProjectP510848Active2026-03-30500.0Agriculture, Fishing and Forestry; Digital Development; Industry, Trade and Services2032-07-30
NigeriaFostering Inclusive Finance for MSMEs in Nigeria (FINCLUDE) ProjectP511062Active2025-12-19500.0Financial Sector2031-06-30
NigeriaBuilding Resilient Digital Infrastructure for Growth - BRIDGEP508383Active2025-10-06500.0Digital Development2030-09-30
NigeriaHealth Security Program in Western and Central Africa, Nigeria - Phase IIP508003Active2025-09-30250.0Health2030-12-31
NigeriaSolutions for the Internally Displaced and Host Communities ProjectP181248Active2025-08-07300.0Public Administration; Social Sustainability and Inclusion; Industry, Trade and Services2030-07-30
NigeriaSustainable Procurement, Environmental and Social Standards Enhancement Project (SPESSE)P510242Active2025-06-2465.0Public Administration; Education; Social Sustainability and Inclusion; Social ProtectionNot reported

World Bank Projects API (search.worldbank.org), active and pipeline projects, sectors matching the scope; pipeline first, then newest approvals, up to 10 per country; retrieved 2026-11-08. Commitment is the IBRD/IDA amount plus World Bank grants at approval, not money disbursed. Pipeline projects are plans: dates and amounts change, and some are dropped. A project can span several sectors.

Who funds climate action here: climate-related development finance by provider (OECD) · OECD Climate-related development finance (recipient perspective)

About this source: The OECD's dataset of development finance for climate adaptation and mitigation from bilateral and multilateral providers, the basis of many climate finance studies. Its counting rules make bilateral totals generous.

Trace this: OECD: development finance for climate and the environment ↗ · OECD CRDF recipient perspective, CRDF-RP_2022.xlsx ↗ · OECD CRDF recipient perspective, CRDF-RP_2023.xlsx ↗ · OECD CRDF recipient perspective, CRDF-RP_2024.xlsx ↗

CountryRankProviderProvider typeTrend2022 (USD m)2023 (USD m)2024 (USD m)Share
Nigeria1World Bank (IDA)Multilateral development bankTrend 2022–2024: 378 to 1,122 (3 years reported)377.61,623.91,122.451%
Nigeria2United StatesDAC memberTrend 2022–2024: 195 to 173 (3 years reported)194.6248.9173.210%
Nigeria3African Development BankMultilateral development bankTrend 2022–2024: 201 to 296 (3 years reported)201.264.7296.39%
Nigeria4International Bank for Reconstruction and DevelopmentMultilateral development bankTrend 2022–2024: 0 to 273 (3 years reported)0.0160.2273.37%
Nigeria5FranceDAC memberTrend 2022–2024: 221 to 7.4 (3 years reported)221.0114.87.46%
Nigeria6JapanDAC memberTrend 2022–2024: 211 to 101 (3 years reported)210.73.5100.85%
Nigeria7EU Institutions (excl. EIB)DAC memberTrend 2022–2024: 55.7 to 0 (3 years reported)55.7121.10.03%
Nigeria8Gates FoundationPrivate donorTrend 2022–2024: 27.9 to 41.6 (3 years reported)27.935.341.62%
Nigeria9United KingdomDAC memberTrend 2022–2024: 32.5 to 52.2 (3 years reported)32.58.952.22%
Nigeria10GermanyDAC memberTrend 2022–2024: 5.7 to 20.3 (3 years reported)5.752.520.31%
Nigeria15NorwayDAC memberTrend 2022–2024: 13.0 to 4.0 (3 years reported)13.08.94.00%
NigeriaAll providersTrend 2022–2024: 1,395 to 2,238 (3 years reported)1,395.32,498.52,238.1100%
NigeriaAll providers: adaptation (includes overlap)Trend 2022–2024: 803 to 1,021 (3 years reported)802.9995.81,020.7
NigeriaAll providers: mitigation (includes overlap)Trend 2022–2024: 817 to 1,306 (3 years reported)816.91,771.61,306.2
NigeriaAll providers: principal objective or climate component onlyTrend 2022–2024: 948 to 1,802 (3 years reported)948.42,060.01,802.0

OECD Climate-related development finance, recipient perspective, 2022–2024: commitments in current USD millions; retrieved 2026-10-13. Commitments, not disbursements. Bilateral activities count at full value when climate is a principal or significant objective (OECD Rio markers), so the totals are an upper bound; multilateral development banks report only each project's climate component. The 'principal objective or climate component only' row is the stricter measure. Adaptation and mitigation overlap where an activity targets both, so they do not add up to the total. Nigeria: USD 1,395.3m in 2022 → USD 2,238.1m in 2024 (+60%); peak USD 2,498.5m in 2023.

Largest climate-related commitments in 2024 (OECD) · OECD Climate-related development finance (recipient perspective)

About this source: The OECD's dataset of development finance for climate adaptation and mitigation from bilateral and multilateral providers, the basis of many climate finance studies. Its counting rules make bilateral totals generous.

Trace this: OECD CRDF recipient perspective, CRDF-RP_2024.xlsx ↗

CountryProviderProjectPurposeClimate objectiveInstrumentUSD m
NigeriaWorld Bank (IDA)SUSTAINABLE POWER AND IRRIGATION FOR NIGERIA PROJECTWater sector policy and administrative management; Energy policy and administrative management and 2 moreClimate ComponentsStandard loan425.4
NigeriaWorld Bank (IDA)RURAL ACCESS AND AGRICULTURAL MARKETING PROJECT - SCALE UPRoad transportClimate ComponentsStandard loan275.9
NigeriaWorld Bank (IDA)NIGERIA: PRIMARY HEALTHCARE PROVISION STRENGTHENING PROGRAMMedical servicesClimate ComponentsStandard loan270.5
NigeriaAfrican Development BankEGET-SPMultisector aidClimate ComponentsStandard loan203.6
NigeriaInternational Bank for Reconstruction and DevelopmentNIGERIA REFORMS FOR ECONOMIC STABILIZATION TO ENABLE TRANSFORMATION (RESET) DPFDomestic revenue mobilisation; Social Protection and 3 moreClimate ComponentsStandard loan150.0
NigeriaWorld Bank (IDA)NIGERIA REFORMS FOR ECONOMIC STABILIZATION TO ENABLE TRANSFORMATION (RESET) DPFDomestic revenue mobilisation; Social Protection and 3 moreClimate ComponentsStandard loan150.0
NigeriaInternational Bank for Reconstruction and DevelopmentNG ACCELERATING RESOURCE MOBILIZATION REFORMS PFORRDomestic revenue mobilisation; Oil and gas (upstream) and 1 moreClimate ComponentsStandard loan123.3
NigeriaJapanFOOD SECURITY EMERGENCY SUPPORT LOANFood security policy and administrative managementSignificantStandard loan99.0

OECD Climate-related development finance, recipient perspective, 2024; climate-related amount of each commitment, current USD millions; retrieved 2026-10-13. The climate-related amount of each activity as the OECD counts it (the whole activity when climate is a Rio-marked objective; the climate component for multilateral development banks). Titles as reported by the provider.

Need against funding at a glance (computed) · Computed by the app from the cards it names
CountryMeasureValueDetailCard
NigeriaHumanitarian appeal funded60% → 32%2024 → 2025E36
AllOfficial aid in this scope, real terms+16%USD 4,064.6m (2019) → 4,706.1m (2024), constant 2024 USDE28

Computed by the app from the cards named in the last column. Each figure is taken from the named card; changes are computed from the card's own figures.

Need against funding by cluster, 2025 (computed from cards E37, E53, E36) · Computed by the app from the cards it names
CountryClusterPeople in need, 2025Change from 2024Required (USD m)Funded (USD m)CoverageAgainst the whole appealFunded per person in need (USD)Flag
NigeriaMulti-sectorNo need figure (several sectors)n/a45.03.58%-24 pointsn/aCritically underfunded
NigeriaEmergency Shelter and NFI3.41 m+12%54.77.614%-18 points2Severely underfunded, gap widening
NigeriaWater Sanitation Hygiene5.20 m+3%67.212.919%-13 points2Severely underfunded
NigeriaFood Security5.15 m+18%352.277.622%-10 points15Severely underfunded, gap widening
NigeriaHealth4.93 m-8%74.117.724%-8 points4Severely underfunded
NigeriaLogisticsNo need figure (a service to other clusters)n/a25.58.433%+1 pointsn/aUnderfunded
NigeriaEducation1.65 m+6%35.814.039%+7 points8Underfunded, gap widening
NigeriaNutrition4.80 m+27%132.163.248%+16 points13Underfunded, gap widening

Computed by the app: OCHA FTS appeal by cluster 2025 (card E37) against people in need in the 2025 and 2024 Humanitarian Needs Overviews (OCHA via the HDX Humanitarian API, card E53). Critically underfunded: less than 10% of the cluster's appeal funded. Severely underfunded: 10% to less than 25%. Underfunded: 25% to less than 50%. Half funded or more: 50% or more; a gap remains until 100%. Gap widening (added to the band): less than 50% funded and people in need up 5% or more on the previous year's overview. There is no agreed threshold; these bands follow common usage, and the comparison with the whole appeal shows how the cluster fares against the rest of the response, as the UN's CERF does when it compares crises. Funded per person in need: funding received for the cluster divided by its people in need, the same year. People in need overlap between clusters, so they do not add up to the cross-sector figure. Lowest coverage first. The eight largest clusters by requirement are shown.

How exposed the money is: donor concentration and cuts (computed from cards E28, E42) · Computed by the app from the cards it names
Donor or measureAid in this scope, 2024 (USD m)ShareChange in the donor's total aid, 2024→2025Exposed
World Bank (IDA)2,284.249%Not in the OECD totals (multilateral or not reported)n/a
United States929.220%-56%Yes
Global Fund316.17%Not in the OECD totals (multilateral or not reported)n/a
France229.75%-8%No
Global Alliance for Vaccines and Immunization [GAVI]211.85%Not in the OECD totals (multilateral or not reported)n/a
United Kingdom176.04%+1%No
EU Institutions144.13%+48%No
Germany100.72%-16%Yes
UNICEF44.21%Not in the OECD totals (multilateral or not reported)n/a
Canada21.50%+20%No
Norway21.00%+5%No
Largest donor's share49%
Three largest donors' share75%
Share from donors whose total aid fell more than 10% (2024→2025)1,029.922%
Rough estimate for 2025, not a forecast: less in this scope if those cuts fell evenly532.311%

Computed by the app: OECD CRS gross disbursements in this scope, 2024 (card E28), all official donors USD 4,706.1m; donors' total net ODA from OECD DAC1 (card E42). Exposed: a donor whose total aid fell more than 10% in the OECD's provisional latest year. Rough estimate method: each donor's 2024 aid in this scope, reduced by the same percentage as its total aid fell from 2024 to 2025 in the OECD's provisional figures, summed over donors that fell more than 10%; donors that did not cut count as unchanged. It assumes each donor cut this country as much as its overall aid; in practice donors protect some countries and cut others harder. The OECD's country figures for 2025 will replace it, usually about a year after the year ends. Only the donors listed on the OECD card are assessed; multilateral donors are not in the OECD's donor totals.

Single projects and agreements (6): Norway's largest agreements, related Norwegian projects and other donors' largest projects
Other donor's project: Investing for Impact Against HIV and Tuberculosis - Nigeria (01-Jan-2024-31-Dec-2026) (Global Fund) · OECD Creditor Reporting System (project-level records)

About this source: The OECD's database of aid activities reported by its Development Assistance Committee members, multilateral organisations and some foundations. It is the standard reference for who gives aid to whom and for what, and most published aid statistics are built from it. Figures arrive about a year after the year ends.

Trace this: OECD CRS dataflow (DSD_CRS@DF_CRS) in the OECD Data Explorer ↗

Donor: Global Fund. Channel of delivery: Developing country-based NGO. Recipient: Nigeria. Purpose: STD control including HIV/AIDS. Disbursed USD 46.9m in 2024. Description (donor-reported): The program will invest in the following areas: Analyses, evaluations, reviews and data use, Capacity building and leadership development, Collaboration with other programs/sectors, Community empowerment for MSM, Community empowerment for PUD, Community empowerment for sex workers, Community empowerment for transgender people, Community engagement, linkages and coordination, Community-based TB/DR-TB care, Community-based testing for AGYW and their male sexual partners programs, Community-based testing for KP programs, Community-based testing outside of KP and AGYW programs, Community-led monitoring, Comprehensive sexuality education for adolescent girls and young women (AGYW) and adolescent boys and young men (ABYM), Condom and lubricant programing for AGYW in high HIV incidence settings, Condom and lubricant programing for male sexual partners of AGYW in high HIV incidence settings, Con

Other donor's project: State Accountability, Transparency and Effectiveness (State2State) Activity (United States) · OECD Creditor Reporting System (project-level records)

About this source: The OECD's database of aid activities reported by its Development Assistance Committee members, multilateral organisations and some foundations. It is the standard reference for who gives aid to whom and for what, and most published aid statistics are built from it. Figures arrive about a year after the year ends.

Trace this: OECD CRS dataflow (DSD_CRS@DF_CRS) in the OECD Data Explorer ↗

Donor: United States. Channel of delivery: Private sector in provider country. Recipient: Nigeria. Purpose: Decentralisation and support to subnational government; Democratic participation and civil society; Family planning; Primary education; Reproductive health care; Water supply and sanitation - large sy. Disbursed USD 16.0m in 2023 to 2024. Description (donor-reported): The overall goal of S2S is to increase the effectiveness, accountability and transparency of selected state and local governments (LGAs) in Nigeria. This will be achieved by strengthening systems to improve the delivery of services in key sectors (basic education, primary health care, and water, sanitation and hygiene - WASH), increasing the efficiency of key governance operations (with a focus on public financial management [PFM] and procurement, as well as monitoring and evaluation), increasing governments responsiveness to citizen needs and priorities, and improving government and civil society capacity to manage conflict. State2State builds on and expands the Missions currently ongoing Leadership, Empowerment, Advocacy and Development (LEAD, 2009-2017) activity, implemented by RTI.

Other donor's project: To contribute towards reducing the malaria burden to pre-elimination levels and bringing malaria-rel (Global Fund) · OECD Creditor Reporting System (project-level records)

About this source: The OECD's database of aid activities reported by its Development Assistance Committee members, multilateral organisations and some foundations. It is the standard reference for who gives aid to whom and for what, and most published aid statistics are built from it. Figures arrive about a year after the year ends.

Trace this: OECD CRS dataflow (DSD_CRS@DF_CRS) in the OECD Data Explorer ↗

Donor: Global Fund. Channel of delivery: International NGO. Recipient: Nigeria. Purpose: Malaria control. Disbursed USD 98.5m in 2024. Description (donor-reported): The program will invest in the following areas: Analyses, evaluations, reviews and data use, Analysis, evaluations, reviews and transparency, Coordination and management of national disease control programs, COVID-19 control and containment including health systems strengthening, Data quality, Facility-based treatment, Grant management, IEC/BCC (Case management), IEC/BCC (SPI), IEC/BCC (Vector control), Insecticide treated nets (ITNs) - Continuous distribution: ANC, Insecticide treated nets (ITNs) - Continuous distribution: EPI, Insecticide treated nets (ITNs) - Mass campaign: universal, Institutional capacity building, planning and leadership development, Integrated community case management (iCCM), Intermittent preventive treatment (IPT) - In pregnancy, Long-lasting insecticidal nets (LLIN) - Continuous distribution, Long-lasting insecticidal nets (LLIN) - Continuous distribution - ANC

Other donor's project: Strengthening HMIS, Laboratory System and Procurement & Supply Chain Management Systems and enhancin (Global Fund) · OECD Creditor Reporting System (project-level records)

About this source: The OECD's database of aid activities reported by its Development Assistance Committee members, multilateral organisations and some foundations. It is the standard reference for who gives aid to whom and for what, and most published aid statistics are built from it. Figures arrive about a year after the year ends.

Trace this: OECD CRS dataflow (DSD_CRS@DF_CRS) in the OECD Data Explorer ↗

Donor: Global Fund. Channel of delivery: Other public entities in recipient country. Recipient: Nigeria. Purpose: Health policy and administrative management. Disbursed USD 51.3m in 2024. Description (donor-reported): The program will invest in the following areas: Analysis, evaluations, reviews and transparency, Case management, clinical operations and therapeutics, Community-based monitoring, Coordination and management of national disease control programs, Country-level coordination and planning, COVID diagnostics and testing, COVID-19 CSS: Community-led advocacy and research, COVID-19 CSS: Community-led monitoring, COVID-19 CSS: Social mobilization, Gender-based violence prevention and post violence care (COVID-19), Grant management, Health products and waste management systems, Infection prevention and control, and protection of the health workforce, Information systems and integrated specimen transport networks, Infrastructure and equipment management systems, Institutional capacity building, planning and leadership development, Laboratory systems, Mitigation for HIV programs, Mitigation for Mal

Other donor's project: Accelerating Control of the HIV Epidemic in Nigeria (United States) · OECD Creditor Reporting System (project-level records)

About this source: The OECD's database of aid activities reported by its Development Assistance Committee members, multilateral organisations and some foundations. It is the standard reference for who gives aid to whom and for what, and most published aid statistics are built from it. Figures arrive about a year after the year ends.

Trace this: OECD CRS dataflow (DSD_CRS@DF_CRS) in the OECD Data Explorer ↗

Donor: United States. Channel of delivery: Developing country-based NGO. Recipient: Nigeria. Purpose: COVID-19 control; STD control including HIV/AIDS. Disbursed USD 31.0m in 2023 to 2024. Description (donor-reported): The primary focus of ace activity is to support relevant HIV/AIDS/TB service delivery, through a combination of direct service delivery support and technical assistance in Nigeria, across a variety of technical areas relevant to the continuum of prevention, care, and treatment of HIV infection. ace activity aligns with the USAID/Nigerias 2020-2025 cdcs development objective 2 (DO 2): a healthier, better educated population, specifically the intermediate result 2.1 (IR 2.1): improved health and disease outcomes of priority populations in targeted states. DO2 is hinged on the hypothesis that if the capacity of health and education institutions and systems is increased, if access to equitable health and education services is increased, if the quality of health and education service provision is increased and improved, and if the governments commitment and capacity to mobilize more of its ow

Other donor's project: UNICEF Multisectoral Integrated Nutrition Action (MINA Project) for Children, Adolescents and Women (United Kingdom) · OECD Creditor Reporting System (project-level records)

About this source: The OECD's database of aid activities reported by its Development Assistance Committee members, multilateral organisations and some foundations. It is the standard reference for who gives aid to whom and for what, and most published aid statistics are built from it. Figures arrive about a year after the year ends.

Trace this: OECD CRS dataflow (DSD_CRS@DF_CRS) in the OECD Data Explorer ↗

Donor: United Kingdom. Channel of delivery: United Nations Children’s Fund. Recipient: Nigeria. Purpose: Basic nutrition; Reproductive health care. Disbursed USD 28.3m in 2023 to 2024. Description (donor-reported): In line with the G7 Famine Prevention Compact, Nigeria's Humanitarian and Resilience Programme (HARP) will provide life-saving support to the most vulnerable and strengthen resilience, opening pathways to livelihoods. HARP will enhance overall effectiveness of the UN-led humanitarian response, including a focus on building Nigerian ownership.

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Crises and humanitarian needs

7 cards; open a card for its table and sources.

Food insecurity by district

Analysis period · Nigeria: Cadre Harmonisé, Oct–Dec 2025

Abadam (NG008001): 0% in Phase 3 or worse, 0 of 48,087 people analysedAbaji (NG015001): 12% in Phase 3 or worse, 88,996 of 741,631 people analysedAbak (NG003001): 0% in Phase 3 or worse, 0 of 48,087 people analysedAbakaliki (NG011001): 0% in Phase 3 or worse, 0 of 48,087 people analysedAbeokuta North (NG028001): 7% in Phase 3 or worse, 32,735 of 467,640 people analysedAbeokuta South (NG028002): 7% in Phase 3 or worse, 41,216 of 588,793 people analysedAbi (NG009001): 12% in Phase 3 or worse, 32,046 of 267,048 people analysedAboh-Mbaise (NG017001): 0% in Phase 3 or worse, 0 of 48,087 people analysedAbua/Odual (NG033001): 6% in Phase 3 or worse, 37,613 of 626,883 people analysedAbuja Municipal (NG015002): 9% in Phase 3 or worse, 190,887 of 2,120,972 people analysedAdavi (NG023001): 14% in Phase 3 or worse, 44,854 of 320,388 people analysedAdo (NG007001): 15% in Phase 3 or worse, 50,330 of 335,534 people analysedAdo-Odo/Ota (NG028003): 9% in Phase 3 or worse, 111,625 of 1,240,282 people analysedAdo Ekiti (NG013001): 13% in Phase 3 or worse, 75,958 of 584,295 people analysedAfijio (NG031001): 0% in Phase 3 or worse, 0 of 48,087 people analysedAfikpo North (NG011002): 0% in Phase 3 or worse, 0 of 48,087 people analysedAfikpo South (NG011003): 0% in Phase 3 or worse, 0 of 48,087 people analysedAgaie (NG027001): 8% in Phase 3 or worse, 19,959 of 249,489 people analysedAgatu (NG007002): 15% in Phase 3 or worse, 31,553 of 210,353 people analysedAguata (NG004001): 0% in Phase 3 or worse, 0 of 48,087 people analysedAgwara (NG027002): 15% in Phase 3 or worse, 16,236 of 108,237 people analysedAhiazu-Mbaise (NG017002): 0% in Phase 3 or worse, 0 of 48,087 people analysedAhoada East (NG033002): 6% in Phase 3 or worse, 19,075 of 317,920 people analysedAhoada West (NG033003): 6% in Phase 3 or worse, 27,543 of 459,043 people analysedAiyedade (NG030001): 0% in Phase 3 or worse, 0 of 48,087 people analysedAiyedire (NG030002): 0% in Phase 3 or worse, 0 of 48,087 people analysedAiyekire (Gbonyin) (NG013002): 15% in Phase 3 or worse, 41,351 of 275,670 people analysedAjaokuta (NG023002): 14% in Phase 3 or worse, 25,288 of 180,628 people analysedAjingi (NG020001): 9% in Phase 3 or worse, 29,036 of 322,623 people analysedAkamkpa (NG009002): 10% in Phase 3 or worse, 27,702 of 277,018 people analysedAkinyele (NG031002): 0% in Phase 3 or worse, 0 of 48,087 people analysedAkko (NG016001): 12% in Phase 3 or worse, 69,257 of 577,142 people analysedAkoko-Edo (NG012001): 10% in Phase 3 or worse, 49,606 of 496,057 people analysedAkoko North East (NG029001): 0% in Phase 3 or worse, 0 of 48,087 people analysedAkoko North West (NG029002): 0% in Phase 3 or worse, 0 of 48,087 people analysedAkoko South East (NG029003): 0% in Phase 3 or worse, 0 of 48,087 people analysedAkoko South West (NG029004): 0% in Phase 3 or worse, 0 of 48,087 people analysedAkpabuyo (NG009003): 10% in Phase 3 or worse, 50,380 of 503,801 people analysedAkuku Toru (NG033004): 6% in Phase 3 or worse, 7,694 of 128,240 people analysedAkure North (NG029005): 0% in Phase 3 or worse, 0 of 48,087 people analysedAkure South (NG029006): 0% in Phase 3 or worse, 0 of 48,087 people analysedAkwanga (NG026001): 15% in Phase 3 or worse, 24,258 of 161,721 people analysedAlbasu (NG020002): 9% in Phase 3 or worse, 31,564 of 350,714 people analysedAleiro (NG022001): 10% in Phase 3 or worse, 11,799 of 117,990 people analysedAlimosho (NG025003): 5% in Phase 3 or worse, 192,171 of 3,843,415 people analysedAlkaleri (NG005001): 6% in Phase 3 or worse, 37,308 of 621,793 people analysedAmuwo-Odofin (NG025004): 5% in Phase 3 or worse, 49,283 of 985,666 people analysedAnambra East (NG004002): 0% in Phase 3 or worse, 0 of 48,087 people analysedAnambra West (NG004003): 0% in Phase 3 or worse, 0 of 48,087 people analysedAnaocha (NG004004): 0% in Phase 3 or worse, 0 of 48,087 people analysedAndoni (NG033005): 11% in Phase 3 or worse, 46,824 of 425,668 people analysedAninri (NG014001): 7% in Phase 3 or worse, 16,906 of 241,520 people analysedAniocha North (NG010001): 0% in Phase 3 or worse, 0 of 48,087 people analysedAniocha South (NG010002): 0% in Phase 3 or worse, 0 of 48,087 people analysedAnka (NG037001): 16% in Phase 3 or worse, 36,534 of 228,340 people analysedAnkpa (NG023003): 18% in Phase 3 or worse, 70,671 of 392,617 people analysedApa (NG007003): 15% in Phase 3 or worse, 26,417 of 176,112 people analysedArdo-Kola (NG035001): 15% in Phase 3 or worse, 22,833 of 152,217 people analysedArewa-Dandi (NG022002): 14% in Phase 3 or worse, 46,722 of 333,731 people analysedArgungu (NG022003): 14% in Phase 3 or worse, 49,313 of 352,236 people analysedArochukwu (NG001003): 15% in Phase 3 or worse, 50,454 of 336,358 people analysedAsa (NG024001): 15% in Phase 3 or worse, 31,482 of 209,877 people analysedAsari-Toru (NG033006): 6% in Phase 3 or worse, 24,509 of 408,490 people analysedAskira/Uba (NG008002): 35% in Phase 3 or worse, 116,908 of 334,023 people analysedAtakumosa East (NG030003): 0% in Phase 3 or worse, 0 of 48,087 people analysedAtakumosa West (NG030004): 0% in Phase 3 or worse, 0 of 48,087 people analysedAtiba (NG031003): 0% in Phase 3 or worse, 0 of 48,087 people analysedAtigbo (NG031004): 0% in Phase 3 or worse, 0 of 48,087 people analysedAugie (NG022004): 14% in Phase 3 or worse, 28,657 of 204,691 people analysedAuyo (NG018001): 5% in Phase 3 or worse, 12,505 of 250,099 people analysedAwe (NG026002): 13% in Phase 3 or worse, 20,723 of 159,410 people analysedAwgu (NG014002): 7% in Phase 3 or worse, 25,050 of 357,853 people analysedAwka North (NG004005): 0% in Phase 3 or worse, 0 of 48,087 people analysedAwka South (NG004006): 0% in Phase 3 or worse, 0 of 48,087 people analysedAyamelum (NG004007): 0% in Phase 3 or worse, 0 of 48,087 people analysedBabura (NG018002): 12% in Phase 3 or worse, 48,320 of 402,666 people analysedBadagry (NG025006): 5% in Phase 3 or worse, 35,713 of 714,261 people analysedBade (NG036001): 12% in Phase 3 or worse, 55,418 of 461,814 people analysedBagudo (NG022005): 14% in Phase 3 or worse, 58,613 of 418,666 people analysedBagwai (NG020003): 10% in Phase 3 or worse, 30,192 of 301,920 people analysedBakori (NG021001): 17% in Phase 3 or worse, 43,671 of 256,886 people analysedBakura (NG037002): 17% in Phase 3 or worse, 58,572 of 344,541 people analysedBalanga (NG016002): 16% in Phase 3 or worse, 58,094 of 363,089 people analysedBali (NG035002): 18% in Phase 3 or worse, 64,398 of 357,764 people analysedBama (NG008003): 30% in Phase 3 or worse, 19,794 of 65,980 people analysedBarikin Ladi (NG032001): 13% in Phase 3 or worse, 38,285 of 294,500 people analysedBaruten (NG024002): 12% in Phase 3 or worse, 41,747 of 347,889 people analysedBassa (NG023004): 18% in Phase 3 or worse, 37,096 of 206,088 people analysedBassa: not in this analysis, or not matchedBatagarawa (NG021002): 13% in Phase 3 or worse, 42,227 of 324,826 people analysedBatsari (NG021003): 13% in Phase 3 or worse, 46,430 of 357,153 people analysedBauchi (NG005002): 6% in Phase 3 or worse, 55,924 of 932,073 people analysedBaure (NG021004): 25% in Phase 3 or worse, 87,169 of 348,677 people analysedBayo (NG008004): 15% in Phase 3 or worse, 30,557 of 203,716 people analysedBebeji (NG020004): 9% in Phase 3 or worse, 32,284 of 358,709 people analysedBekwara (NG009006): 9% in Phase 3 or worse, 17,569 of 195,215 people analysedBende (NG001004): 15% in Phase 3 or worse, 56,947 of 379,647 people analysedBiase (NG009007): 10% in Phase 3 or worse, 31,108 of 311,080 people analysedBichi (NG020005): 10% in Phase 3 or worse, 52,019 of 520,185 people analysedBilliri (NG016003): 16% in Phase 3 or worse, 55,251 of 345,316 people analysedBindawa (NG021005): 17% in Phase 3 or worse, 44,105 of 259,440 people analysedBinji (NG034001): 35% in Phase 3 or worse, 79,731 of 227,804 people analysedBiriniwa (NG018003): 5% in Phase 3 or worse, 13,426 of 268,529 people analysedBirni Kudu (NG018004): 6% in Phase 3 or worse, 35,636 of 593,932 people analysedBirnin-Gwari (NG019001): 15% in Phase 3 or worse, 67,548 of 450,321 people analysedBirnin Kebbi (NG022006): 10% in Phase 3 or worse, 47,250 of 472,503 people analysedBirnin Magaji (NG037003): 16% in Phase 3 or worse, 52,708 of 329,427 people analysedBiu (NG008005): 30% in Phase 3 or worse, 118,838 of 396,126 people analysedBodinga (NG034002): 27% in Phase 3 or worse, 82,848 of 306,843 people analysedBogoro (NG005003): 6% in Phase 3 or worse, 9,537 of 158,956 people analysedBoki (NG009008): 12% in Phase 3 or worse, 41,437 of 345,309 people analysedBokkos (NG032003): 18% in Phase 3 or worse, 52,935 of 294,085 people analysedBoluwaduro (NG030005): 0% in Phase 3 or worse, 0 of 48,087 people analysedBomadi (NG010003): 0% in Phase 3 or worse, 0 of 48,087 people analysedBonny (NG033007): 6% in Phase 3 or worse, 17,975 of 299,587 people analysedBorgu (NG027004): 15% in Phase 3 or worse, 48,962 of 326,412 people analysedBoripe (NG030006): 0% in Phase 3 or worse, 0 of 48,087 people analysedBosso (NG027005): 13% in Phase 3 or worse, 36,372 of 279,781 people analysedBrass (NG006001): 0% in Phase 3 or worse, 0 of 48,087 people analysedBuji (NG018005): 6% in Phase 3 or worse, 11,037 of 183,950 people analysedBukkuyum (NG037004): 18% in Phase 3 or worse, 69,834 of 387,965 people analysedBungudu (NG037005): 17% in Phase 3 or worse, 80,249 of 472,054 people analysedBunkure (NG020006): 9% in Phase 3 or worse, 29,349 of 326,095 people analysedBunza (NG022007): 10% in Phase 3 or worse, 21,732 of 217,318 people analysedBursari (NG036002): 29% in Phase 3 or worse, 60,369 of 208,170 people analysedBuruku (NG007004): 22% in Phase 3 or worse, 82,555 of 375,251 people analysedBurutu (NG010004): 0% in Phase 3 or worse, 0 of 48,087 people analysedBwari (NG015003): 13% in Phase 3 or worse, 131,262 of 1,009,711 people analysedCalabar-Municipal (NG009010): 10% in Phase 3 or worse, 33,989 of 339,889 people analysedCalabar South (NG009009): 10% in Phase 3 or worse, 35,438 of 354,384 people analysedChanchaga (NG027006): 13% in Phase 3 or worse, 50,359 of 387,380 people analysedCharanchi (NG021006): 17% in Phase 3 or worse, 40,012 of 235,364 people analysedChibok (NG008006): 23% in Phase 3 or worse, 36,779 of 159,909 people analysedChikun (NG019002): 15% in Phase 3 or worse, 97,247 of 648,316 people analysedDamaturu (NG036003): 14% in Phase 3 or worse, 23,506 of 167,899 people analysedDamban (NG005004): 13% in Phase 3 or worse, 37,033 of 284,867 people analysedDambatta (NG020008): 10% in Phase 3 or worse, 39,340 of 393,395 people analysedDamboa (NG008007): 35% in Phase 3 or worse, 31,968 of 91,338 people analysedDan Musa (NG021007): 18% in Phase 3 or worse, 35,005 of 194,474 people analysedDandi (NG022008): 14% in Phase 3 or worse, 36,006 of 257,184 people analysedDandume (NG021008): 7% in Phase 3 or worse, 17,478 of 249,682 people analysedDange-Shuni (NG034003): 27% in Phase 3 or worse, 89,310 of 330,779 people analysedDanja (NG021009): 17% in Phase 3 or worse, 36,651 of 215,592 people analysedDarazo (NG005005): 13% in Phase 3 or worse, 61,736 of 474,893 people analysedDass (NG005006): 6% in Phase 3 or worse, 10,186 of 169,768 people analysedDaura (NG021010): 25% in Phase 3 or worse, 96,594 of 386,378 people analysedDawakin Kudu (NG020009): 6% in Phase 3 or worse, 25,286 of 421,441 people analysedDawakin Tofa (NG020010): 10% in Phase 3 or worse, 46,017 of 460,165 people analysedDegema (NG033008): 6% in Phase 3 or worse, 7,859 of 130,976 people analysedDekina (NG023005): 18% in Phase 3 or worse, 69,294 of 384,968 people analysedDemsa (NG002001): 21% in Phase 3 or worse, 67,651 of 322,146 people analysedDikwa (NG008008): 43% in Phase 3 or worse, 15,079 of 35,067 people analysedDoguwa (NG020011): 9% in Phase 3 or worse, 25,341 of 281,569 people analysedDoma (NG026003): 13% in Phase 3 or worse, 25,876 of 199,047 people analysedDonga (NG035003): 13% in Phase 3 or worse, 29,336 of 225,661 people analysedDukku (NG016004): 15% in Phase 3 or worse, 53,090 of 353,935 people analysedDunukofia (NG004008): 0% in Phase 3 or worse, 0 of 48,087 people analysedDutse (NG018006): 6% in Phase 3 or worse, 28,492 of 474,859 people analysedDutsi (NG021011): 17% in Phase 3 or worse, 35,313 of 207,724 people analysedDutsin-Ma (NG021012): 18% in Phase 3 or worse, 52,522 of 291,786 people analysedEbonyi (NG011004): 0% in Phase 3 or worse, 0 of 48,087 people analysedEdati (NG027007): 8% in Phase 3 or worse, 24,146 of 301,829 people analysedEde North (NG030007): 0% in Phase 3 or worse, 0 of 48,087 people analysedEde South (NG030008): 0% in Phase 3 or worse, 0 of 48,087 people analysedEdu (NG024003): 12% in Phase 3 or worse, 40,724 of 339,368 people analysedEfon (NG013003): 13% in Phase 3 or worse, 21,112 of 162,399 people analysedEgbado North: not in this analysis, or not matchedEgbado South: not in this analysis, or not matchedEgbeda (NG031005): 0% in Phase 3 or worse, 0 of 48,087 people analysedEgbedore (NG030009): 0% in Phase 3 or worse, 0 of 48,087 people analysedEhime-Mbano (NG017003): 0% in Phase 3 or worse, 0 of 48,087 people analysedEjigbo (NG030010): 0% in Phase 3 or worse, 0 of 48,087 people analysedEkeremor (NG006002): 0% in Phase 3 or worse, 0 of 48,087 people analysedEket (NG003003): 0% in Phase 3 or worse, 0 of 48,087 people analysedEkiti (NG024004): 14% in Phase 3 or worse, 12,824 of 91,597 people analysedEkiti East (NG013004): 15% in Phase 3 or worse, 38,652 of 257,679 people analysedEkiti South West (NG013005): 15% in Phase 3 or worse, 46,125 of 307,499 people analysedEkiti West (NG013006): 13% in Phase 3 or worse, 43,489 of 334,532 people analysedEkwusigo (NG004009): 0% in Phase 3 or worse, 0 of 48,087 people analysedEleme (NG033009): 11% in Phase 3 or worse, 99,373 of 903,389 people analysedEmohua (NG033010): 8% in Phase 3 or worse, 28,756 of 359,453 people analysedEmure (NG013007): 15% in Phase 3 or worse, 26,337 of 175,581 people analysedEnugu East (NG014003): 10% in Phase 3 or worse, 50,407 of 504,065 people analysedEnugu North (NG014004): 10% in Phase 3 or worse, 44,223 of 442,231 people analysedEpe (NG025007): 5% in Phase 3 or worse, 30,382 of 607,643 people analysedEsan Central (NG012003): 12% in Phase 3 or worse, 23,951 of 199,589 people analysedEsan North East (NG012004): 12% in Phase 3 or worse, 27,762 of 231,349 people analysedEsan South East (NG012005): 12% in Phase 3 or worse, 37,848 of 315,402 people analysedEsan West (NG012006): 12% in Phase 3 or worse, 29,066 of 242,215 people analysedEse-Odo (NG029007): 0% in Phase 3 or worse, 0 of 48,087 people analysedEsit - Eket (NG003004): 0% in Phase 3 or worse, 0 of 48,087 people analysedEssien Udim (NG003005): 0% in Phase 3 or worse, 0 of 48,087 people analysedEtche (NG033011): 8% in Phase 3 or worse, 35,250 of 440,622 people analysedEthiope East (NG010005): 0% in Phase 3 or worse, 0 of 48,087 people analysedEthiope West (NG010006): 0% in Phase 3 or worse, 0 of 48,087 people analysedEti-Osa (NG025008): 3% in Phase 3 or worse, 55,398 of 1,846,608 people analysedEtim Ekpo (NG003006): 0% in Phase 3 or worse, 0 of 48,087 people analysedEtinan (NG003007): 0% in Phase 3 or worse, 0 of 48,087 people analysedEtsako Central (NG012007): 10% in Phase 3 or worse, 17,870 of 178,702 people analysedEtsako East (NG012008): 10% in Phase 3 or worse, 27,942 of 279,418 people analysedEtsako West (NG012009): 10% in Phase 3 or worse, 37,735 of 377,352 people analysedEtung (NG009011): 12% in Phase 3 or worse, 17,772 of 148,102 people analysedEwekoro (NG028006): 7% in Phase 3 or worse, 9,072 of 129,601 people analysedEzeagu (NG014006): 7% in Phase 3 or worse, 21,457 of 306,528 people analysedEzinihitte (NG017004): 0% in Phase 3 or worse, 0 of 48,087 people analysedEzza North (NG011005): 0% in Phase 3 or worse, 0 of 48,087 people analysedEzza South (NG011006): 0% in Phase 3 or worse, 0 of 48,087 people analysedFagge (NG020012): 6% in Phase 3 or worse, 22,440 of 373,997 people analysedFakai (NG022009): 13% in Phase 3 or worse, 60,660 of 466,612 people analysedFaskari (NG021013): 7% in Phase 3 or worse, 23,380 of 334,002 people analysedFika (NG036004): 42% in Phase 3 or worse, 150,716 of 358,849 people analysedFufore (NG002002): 22% in Phase 3 or worse, 83,208 of 378,217 people analysedFunakaye (NG016005): 15% in Phase 3 or worse, 60,495 of 403,299 people analysedFune (NG036005): 31% in Phase 3 or worse, 177,860 of 573,742 people analysedFuntua (NG021014): 7% in Phase 3 or worse, 27,079 of 386,845 people analysedGabasawa (NG020013): 10% in Phase 3 or worse, 39,476 of 394,759 people analysedGada (NG034004): 16% in Phase 3 or worse, 76,004 of 475,026 people analysedGagarawa (NG018007): 12% in Phase 3 or worse, 18,641 of 155,339 people analysedGamawa (NG005007): 11% in Phase 3 or worse, 59,462 of 540,561 people analysedGanjuwa (NG005008): 13% in Phase 3 or worse, 68,820 of 529,388 people analysedGanye (NG002003): 17% in Phase 3 or worse, 52,168 of 306,872 people analysedGarki (NG018008): 12% in Phase 3 or worse, 34,095 of 284,121 people analysedGarko (NG020014): 9% in Phase 3 or worse, 27,246 of 302,729 people analysedGarum Mallam (NG020015): 6% in Phase 3 or worse, 13,303 of 221,716 people analysedGashaka (NG035004): 18% in Phase 3 or worse, 40,619 of 225,661 people analysedGassol (NG035005): 18% in Phase 3 or worse, 81,031 of 450,172 people analysedGaya (NG020016): 9% in Phase 3 or worse, 34,892 of 387,686 people analysedGbako (NG027008): 8% in Phase 3 or worse, 19,166 of 239,571 people analysedGboko (NG007005): 22% in Phase 3 or worse, 144,651 of 657,506 people analysedGeidam (NG036006): 35% in Phase 3 or worse, 118,847 of 339,565 people analysedGezawa (NG020017): 6% in Phase 3 or worse, 31,662 of 527,698 people analysedGiade (NG005009): 11% in Phase 3 or worse, 32,591 of 296,281 people analysedGirei (NG002005): 21% in Phase 3 or worse, 50,451 of 240,244 people analysedGiwa (NG019003): 15% in Phase 3 or worse, 112,525 of 750,164 people analysedGokana (NG033012): 11% in Phase 3 or worse, 50,318 of 457,432 people analysedGombe (NG016006): 15% in Phase 3 or worse, 68,672 of 457,815 people analysedGombi (NG002004): 22% in Phase 3 or worse, 58,708 of 266,856 people analysedGoronyo (NG034006): 35% in Phase 3 or worse, 121,151 of 346,146 people analysedGubio (NG008009): 15% in Phase 3 or worse, 32,879 of 219,188 people analysedGudu (NG034007): 35% in Phase 3 or worse, 85,375 of 243,929 people analysedGujba (NG036007): 28% in Phase 3 or worse, 92,988 of 332,101 people analysedGulani (NG036008): 40% in Phase 3 or worse, 78,984 of 197,459 people analysedGuma (NG007006): 22% in Phase 3 or worse, 77,731 of 353,322 people analysedGumel (NG018009): 12% in Phase 3 or worse, 24,136 of 201,132 people analysedGummi (NG037006): 23% in Phase 3 or worse, 87,277 of 379,465 people analysedGurara (NG027009): 13% in Phase 3 or worse, 22,553 of 173,484 people analysedGuri (NG018010): 5% in Phase 3 or worse, 10,718 of 214,353 people analysedGusau (NG037007): 17% in Phase 3 or worse, 118,886 of 699,330 people analysedGuyuk (NG002006): 23% in Phase 3 or worse, 73,304 of 318,712 people analysedGuzamala (NG008010): 0% in Phase 3 or worse, 0 of 48,087 people analysedGwadabawa (NG034005): 16% in Phase 3 or worse, 67,580 of 422,376 people analysedGwagwalada (NG015004): 14% in Phase 3 or worse, 141,502 of 1,010,726 people analysedGwandu (NG022010): 10% in Phase 3 or worse, 26,574 of 265,744 people analysedGwaram (NG018011): 6% in Phase 3 or worse, 30,787 of 513,117 people analysedGwarzo (NG020019): 10% in Phase 3 or worse, 34,321 of 343,210 people analysedGwer East (NG007007): 22% in Phase 3 or worse, 67,521 of 306,912 people analysedGwer West (NG007008): 22% in Phase 3 or worse, 48,966 of 222,574 people analysedGwiwa (NG018012): 12% in Phase 3 or worse, 29,209 of 243,409 people analysedGwoza (NG008011): 37% in Phase 3 or worse, 62,274 of 168,308 people analysedHawul (NG008012): 30% in Phase 3 or worse, 91,970 of 306,568 people analysedHong (NG002007): 21% in Phase 3 or worse, 48,594 of 231,401 people analysedIbadan North (NG031006): 0% in Phase 3 or worse, 0 of 48,087 people analysedIbadan South West (NG031010): 0% in Phase 3 or worse, 0 of 48,087 people analysedIbaji (NG023006): 18% in Phase 3 or worse, 33,870 of 188,168 people analysedIbarapa Central (NG031011): 0% in Phase 3 or worse, 0 of 48,087 people analysedIbarapa East (NG031012): 0% in Phase 3 or worse, 0 of 48,087 people analysedIbarapa North (NG031013): 0% in Phase 3 or worse, 0 of 48,087 people analysedIbeju/Lekki (NG025009): 5% in Phase 3 or worse, 9,345 of 186,893 people analysedIbeno (NG003008): 0% in Phase 3 or worse, 0 of 48,087 people analysedIbesikpo Asutan (NG003009): 0% in Phase 3 or worse, 0 of 48,087 people analysedIbi (NG035006): 13% in Phase 3 or worse, 18,581 of 142,933 people analysedIbiono Ibom (NG003010): 0% in Phase 3 or worse, 0 of 48,087 people analysedIdah (NG023007): 18% in Phase 3 or worse, 21,184 of 117,687 people analysedIdanre (NG029008): 0% in Phase 3 or worse, 0 of 48,087 people analysedIdeato North (NG017005): 0% in Phase 3 or worse, 0 of 48,087 people analysedIdeato South (NG017006): 0% in Phase 3 or worse, 0 of 48,087 people analysedIdemili North (NG004010): 0% in Phase 3 or worse, 0 of 48,087 people analysedIdemili South (NG004011): 0% in Phase 3 or worse, 0 of 48,087 people analysedIdo (NG031014): 0% in Phase 3 or worse, 0 of 48,087 people analysedIdo-Osi (NG013008): 21% in Phase 3 or worse, 62,585 of 298,026 people analysedIfe Central (NG030011): 0% in Phase 3 or worse, 0 of 48,087 people analysedIfe East (NG030012): 0% in Phase 3 or worse, 0 of 48,087 people analysedIfe North (NG030013): 0% in Phase 3 or worse, 0 of 48,087 people analysedIfe South (NG030014): 0% in Phase 3 or worse, 0 of 48,087 people analysedIfedayo (NG030015): 0% in Phase 3 or worse, 0 of 48,087 people analysedIfedore (NG029009): 0% in Phase 3 or worse, 0 of 48,087 people analysedIfelodun (NG024005): 14% in Phase 3 or worse, 48,296 of 344,974 people analysedIfelodun: not in this analysis, or not matchedIfo (NG028007): 7% in Phase 3 or worse, 88,784 of 1,268,341 people analysedIgabi (NG019004): 15% in Phase 3 or worse, 112,524 of 750,162 people analysedIgalamela-Odolu (NG023008): 18% in Phase 3 or worse, 33,870 of 188,168 people analysedIgbo-Etiti (NG014007): 9% in Phase 3 or worse, 34,013 of 377,926 people analysedIgbo-Eze North (NG014008): 9% in Phase 3 or worse, 42,171 of 468,561 people analysedIgbo-Eze South (NG014009): 9% in Phase 3 or worse, 23,948 of 266,091 people analysedIgueben (NG012010): 12% in Phase 3 or worse, 15,993 of 133,277 people analysedIhiala (NG004012): 0% in Phase 3 or worse, 0 of 48,087 people analysedIhitte/Uboma (NG017007): 0% in Phase 3 or worse, 0 of 48,087 people analysedIjebu East (NG028008): 12% in Phase 3 or worse, 30,860 of 257,166 people analysedIjebu North (NG028009): 12% in Phase 3 or worse, 79,187 of 659,894 people analysedIjebu North East (NG028010): 12% in Phase 3 or worse, 19,421 of 161,845 people analysedIjebu Ode (NG028011): 12% in Phase 3 or worse, 44,365 of 369,705 people analysedIjero (NG013009): 0% in Phase 3 or worse, 0 of 48,087 people analysedIjumu (NG023009): 15% in Phase 3 or worse, 26,242 of 174,946 people analysedIka (NG003011): 0% in Phase 3 or worse, 0 of 48,087 people analysedIka North East (NG010007): 0% in Phase 3 or worse, 0 of 48,087 people analysedIka South (NG010008): 0% in Phase 3 or worse, 0 of 48,087 people analysedIkara (NG019005): 10% in Phase 3 or worse, 33,911 of 339,111 people analysedIkeduru (NG017008): 0% in Phase 3 or worse, 0 of 48,087 people analysedIkenne (NG028012): 12% in Phase 3 or worse, 33,625 of 280,210 people analysedIkere (NG013010): 15% in Phase 3 or worse, 41,507 of 276,712 people analysedIkole (NG013011): 21% in Phase 3 or worse, 66,659 of 317,422 people analysedIkom (NG009012): 12% in Phase 3 or worse, 36,348 of 302,899 people analysedIkono (NG003012): 0% in Phase 3 or worse, 0 of 48,087 people analysedIkorodu (NG025012): 5% in Phase 3 or worse, 64,686 of 1,293,724 people analysedIkot Abasi (NG003013): 0% in Phase 3 or worse, 0 of 48,087 people analysedIkot Ekpene (NG003014): 0% in Phase 3 or worse, 0 of 48,087 people analysedIkpoba-Okha (NG012011): 8% in Phase 3 or worse, 56,451 of 705,643 people analysedIkwerre (NG033013): 8% in Phase 3 or worse, 27,094 of 338,672 people analysedIkwo (NG011007): 0% in Phase 3 or worse, 0 of 48,087 people analysedIkwuano (NG001005): 12% in Phase 3 or worse, 32,724 of 272,699 people analysedIla (NG030017): 0% in Phase 3 or worse, 0 of 48,087 people analysedIlaje (NG029010): 0% in Phase 3 or worse, 0 of 48,087 people analysedIle-Oluji-Okeigbo (NG029011): 0% in Phase 3 or worse, 0 of 48,087 people analysedIlejemeji (NG013012): 21% in Phase 3 or worse, 16,999 of 80,949 people analysedIlesha East (NG030018): 0% in Phase 3 or worse, 0 of 48,087 people analysedIlesha West (NG030019): 0% in Phase 3 or worse, 0 of 48,087 people analysedIllela (NG034008): 16% in Phase 3 or worse, 31,864 of 199,152 people analysedIlorin East (NG024006): 15% in Phase 3 or worse, 52,385 of 349,234 people analysedIlorin South (NG024007): 15% in Phase 3 or worse, 52,823 of 352,150 people analysedIlorin West (NG024008): 15% in Phase 3 or worse, 92,208 of 614,720 people analysedImeko-Afon (NG028013): 9% in Phase 3 or worse, 17,562 of 195,136 people analysedIngawa (NG021015): 9% in Phase 3 or worse, 26,156 of 290,617 people analysedIni (NG003015): 0% in Phase 3 or worse, 0 of 48,087 people analysedIpokia (NG028014): 9% in Phase 3 or worse, 31,839 of 353,770 people analysedIrele (NG029012): 0% in Phase 3 or worse, 0 of 48,087 people analysedIrepo (NG031015): 0% in Phase 3 or worse, 0 of 48,087 people analysedIrepodun (NG024009): 14% in Phase 3 or worse, 34,782 of 248,444 people analysedIrepodun/Ifelodun (NG013013): 13% in Phase 3 or worse, 31,801 of 244,622 people analysedIrewole (NG030021): 0% in Phase 3 or worse, 0 of 48,087 people analysedIsa (NG034009): 35% in Phase 3 or worse, 100,070 of 285,914 people analysedIse/Orun (NG013014): 15% in Phase 3 or worse, 31,838 of 212,251 people analysedIseyin (NG031016): 0% in Phase 3 or worse, 0 of 48,087 people analysedIshielu (NG011008): 0% in Phase 3 or worse, 0 of 48,087 people analysedIsi-Uzo (NG014010): 10% in Phase 3 or worse, 26,805 of 268,054 people analysedIsiala-Ngwa North (NG001006): 12% in Phase 3 or worse, 36,457 of 303,807 people analysedIsiala-Ngwa South (NG001007): 12% in Phase 3 or worse, 31,958 of 266,314 people analysedIsiala Mbano (NG017009): 0% in Phase 3 or worse, 0 of 48,087 people analysedIsin (NG024010): 14% in Phase 3 or worse, 13,661 of 97,581 people analysedIsiukwuato (NG001008): 15% in Phase 3 or worse, 33,924 of 226,158 people analysedIsokan (NG030022): 0% in Phase 3 or worse, 0 of 48,087 people analysedIsoko North (NG010009): 0% in Phase 3 or worse, 0 of 48,087 people analysedIsoko South (NG010010): 0% in Phase 3 or worse, 0 of 48,087 people analysedItas/Gadau (NG005010): 11% in Phase 3 or worse, 47,753 of 434,121 people analysedItesiwaju (NG031017): 0% in Phase 3 or worse, 0 of 48,087 people analysedItu (NG003016): 0% in Phase 3 or worse, 0 of 48,087 people analysedIvo (NG011009): 0% in Phase 3 or worse, 0 of 48,087 people analysedIwajowa (NG031018): 0% in Phase 3 or worse, 0 of 48,087 people analysedIwo (NG030023): 0% in Phase 3 or worse, 0 of 48,087 people analysedIzzi (NG011010): 0% in Phase 3 or worse, 0 of 48,087 people analysedJaba (NG019006): 16% in Phase 3 or worse, 43,460 of 271,626 people analysedJada (NG002008): 21% in Phase 3 or worse, 63,873 of 304,159 people analysedJahun (NG018014): 6% in Phase 3 or worse, 26,080 of 434,673 people analysedJakusko (NG036009): 19% in Phase 3 or worse, 83,032 of 437,009 people analysedJalingo (NG035007): 15% in Phase 3 or worse, 35,684 of 237,890 people analysedJama'are (NG005011): 11% in Phase 3 or worse, 24,476 of 222,505 people analysedJega (NG022011): 10% in Phase 3 or worse, 34,786 of 347,855 people analysedJema'a (NG019007): 16% in Phase 3 or worse, 77,519 of 484,493 people analysedJere (NG008013): 36% in Phase 3 or worse, 318,844 of 885,677 people analysedJibia (NG021016): 13% in Phase 3 or worse, 37,398 of 287,674 people analysedJos East (NG032004): 13% in Phase 3 or worse, 19,188 of 147,601 people analysedJos North (NG032005): 13% in Phase 3 or worse, 92,004 of 707,724 people analysedJos South (NG032006): 13% in Phase 3 or worse, 65,745 of 505,734 people analysedKabba/Bunu (NG023010): 15% in Phase 3 or worse, 31,995 of 213,300 people analysedKabo (NG020020): 10% in Phase 3 or worse, 28,627 of 286,266 people analysedKachia (NG019008): 16% in Phase 3 or worse, 70,376 of 439,849 people analysedKaduna North (NG019009): 15% in Phase 3 or worse, 95,237 of 634,912 people analysedKaduna South (NG019010): 15% in Phase 3 or worse, 105,204 of 701,362 people analysedKafin Hausa (NG018015): 5% in Phase 3 or worse, 25,270 of 505,394 people analysedKafur (NG021017): 17% in Phase 3 or worse, 61,150 of 359,706 people analysedKaga (NG008014): 48% in Phase 3 or worse, 73,100 of 152,292 people analysedKagarko (NG019011): 16% in Phase 3 or worse, 66,533 of 415,829 people analysedKaiama (NG024011): 12% in Phase 3 or worse, 24,416 of 203,466 people analysedKaita (NG021018): 13% in Phase 3 or worse, 40,741 of 313,394 people analysedKajola (NG031019): 0% in Phase 3 or worse, 0 of 48,087 people analysedKauru (NG019014): 16% in Phase 3 or worse, 61,656 of 385,352 people analysedKala/Balge (NG008015): 51% in Phase 3 or worse, 20,884 of 40,949 people analysedKalgo (NG022012): 10% in Phase 3 or worse, 14,939 of 149,388 people analysedKaltungo (NG016007): 16% in Phase 3 or worse, 40,945 of 255,907 people analysedKanam (NG032007): 18% in Phase 3 or worse, 49,488 of 274,932 people analysedKankara (NG021019): 17% in Phase 3 or worse, 71,051 of 417,948 people analysedKanke (NG032008): 18% in Phase 3 or worse, 36,961 of 205,340 people analysedKankia (NG021020): 9% in Phase 3 or worse, 23,410 of 260,115 people analysedKarasuwa (NG036010): 20% in Phase 3 or worse, 40,821 of 204,103 people analysedKaraye (NG020022): 9% in Phase 3 or worse, 24,231 of 269,233 people analysedKarim-Lamido (NG035008): 15% in Phase 3 or worse, 49,316 of 328,775 people analysedKaru (NG026004): 12% in Phase 3 or worse, 35,155 of 292,961 people analysedKatagum (NG005012): 11% in Phase 3 or worse, 61,451 of 558,647 people analysedKatcha (NG027010): 8% in Phase 3 or worse, 18,262 of 228,276 people analysedKatsina (NG021021): 13% in Phase 3 or worse, 71,057 of 546,589 people analysedKatsina-Ala (NG007009): 17% in Phase 3 or worse, 69,750 of 410,292 people analysedKaugama (NG018016): 5% in Phase 3 or worse, 12,194 of 243,884 people analysedKaura (NG019013): 16% in Phase 3 or worse, 48,658 of 304,111 people analysedKaura Namoda (NG037008): 22% in Phase 3 or worse, 115,047 of 522,941 people analysedKajuru (NG019012): 15% in Phase 3 or worse, 28,685 of 191,235 people analysedKazaure (NG018017): 12% in Phase 3 or worse, 36,568 of 304,732 people analysedKeana (NG026005): 13% in Phase 3 or worse, 14,690 of 112,997 people analysedKebbe (NG034010): 17% in Phase 3 or worse, 47,962 of 282,132 people analysedKeffi (NG026006): 12% in Phase 3 or worse, 15,854 of 132,117 people analysedKhana (NG033014): 11% in Phase 3 or worse, 62,447 of 567,698 people analysedKibiya (NG020023): 9% in Phase 3 or worse, 23,318 of 259,089 people analysedKirfi (NG005013): 6% in Phase 3 or worse, 16,718 of 278,631 people analysedKiri Kasamma (NG018018): 5% in Phase 3 or worse, 18,207 of 364,146 people analysedKiru (NG020024): 9% in Phase 3 or worse, 44,943 of 499,362 people analysedKiyawa (NG018019): 6% in Phase 3 or worse, 19,622 of 327,027 people analysedKogi (NG023011): 15% in Phase 3 or worse, 25,472 of 169,810 people analysedKoko/Besse (NG022013): 10% in Phase 3 or worse, 27,232 of 272,324 people analysedKokona (NG026007): 12% in Phase 3 or worse, 19,957 of 166,312 people analysedKolokuma/Opokuma (NG006003): 0% in Phase 3 or worse, 0 of 48,087 people analysedKonduga (NG008016): 32% in Phase 3 or worse, 62,313 of 194,729 people analysedKonshisha (NG007010): 17% in Phase 3 or worse, 70,065 of 412,149 people analysedKontagora (NG027011): 15% in Phase 3 or worse, 44,076 of 293,841 people analysedKosofe (NG025013): 5% in Phase 3 or worse, 87,740 of 1,754,793 people analysedKubau (NG019015): 10% in Phase 3 or worse, 48,885 of 488,850 people analysedKudan (NG019016): 10% in Phase 3 or worse, 24,199 of 241,993 people analysedKuje (NG015005): 12% in Phase 3 or worse, 106,097 of 884,139 people analysedKukawa (NG008017): 0% in Phase 3 or worse, 0 of 48,087 people analysedKumbotso (NG020025): 6% in Phase 3 or worse, 33,015 of 550,245 people analysedKunchi (NG020026): 10% in Phase 3 or worse, 20,592 of 205,918 people analysedKura (NG020027): 6% in Phase 3 or worse, 16,047 of 267,456 people analysedKurfi (NG021022): 18% in Phase 3 or worse, 36,091 of 200,504 people analysedKurmi (NG035009): 18% in Phase 3 or worse, 26,600 of 147,778 people analysedKusada (NG021023): 9% in Phase 3 or worse, 15,208 of 168,973 people analysedKwali (NG015006): 13% in Phase 3 or worse, 97,042 of 746,478 people analysedKwami (NG016008): 15% in Phase 3 or worse, 50,043 of 333,620 people analysedKwande (NG007011): 17% in Phase 3 or worse, 76,918 of 452,456 people analysedKware (NG034011): 16% in Phase 3 or worse, 29,306 of 183,163 people analysedKwaya Kusar (NG008018): 17% in Phase 3 or worse, 27,993 of 164,667 people analysedLafia (NG026008): 13% in Phase 3 or worse, 61,303 of 471,562 people analysedLagelu (NG031020): 3% in Phase 3 or worse, 48,433 of 1,614,418 people analysedLamurde (NG002009): 15% in Phase 3 or worse, 24,087 of 160,583 people analysedLangtang North (NG032009): 15% in Phase 3 or worse, 35,147 of 234,313 people analysedLangtang South (NG032010): 8% in Phase 3 or worse, 17,384 of 217,299 people analysedLapai (NG027012): 15% in Phase 3 or worse, 24,207 of 161,383 people analysedLau (NG035010): 8% in Phase 3 or worse, 31,705 of 396,317 people analysedLavun (NG027013): 10% in Phase 3 or worse, 59,166 of 591,662 people analysedLere (NG019017): 13% in Phase 3 or worse, 53,725 of 413,272 people analysedLogo (NG007012): 17% in Phase 3 or worse, 52,457 of 308,568 people analysedLokoja (NG023012): 15% in Phase 3 or worse, 43,502 of 290,010 people analysedMachina (NG036011): 19% in Phase 3 or worse, 24,646 of 129,720 people analysedMadagali (NG002010): 40% in Phase 3 or worse, 97,609 of 244,023 people analysedMadobi (NG020028): 6% in Phase 3 or worse, 15,441 of 257,346 people analysedMafa (NG008019): 28% in Phase 3 or worse, 28,245 of 100,873 people analysedMagama (NG027014): 15% in Phase 3 or worse, 51,408 of 342,719 people analysedMagumeri (NG008020): 43% in Phase 3 or worse, 143,250 of 333,139 people analysedMai'adua (NG021024): 25% in Phase 3 or worse, 86,680 of 346,717 people analysedMaiduguri (NG008021): 32% in Phase 3 or worse, 351,211 of 1,097,533 people analysedMaigatari (NG018020): 12% in Phase 3 or worse, 40,175 of 334,789 people analysedMaiha (NG002011): 21% in Phase 3 or worse, 41,778 of 198,941 people analysedMaiyama (NG022014): 10% in Phase 3 or worse, 30,564 of 305,641 people analysedMakoda (NG020029): 10% in Phase 3 or worse, 41,138 of 411,376 people analysedMakurdi (NG007013): 22% in Phase 3 or worse, 120,252 of 546,598 people analysedMalam Madori (NG018021): 5% in Phase 3 or worse, 15,580 of 311,595 people analysedMalumfashi (NG021025): 17% in Phase 3 or worse, 53,419 of 314,229 people analysedMangu (NG032011): 18% in Phase 3 or worse, 87,891 of 488,281 people analysedMani (NG021026): 17% in Phase 3 or worse, 51,494 of 302,906 people analysedMaradun (NG037009): 21% in Phase 3 or worse, 80,945 of 385,454 people analysedMariga (NG027015): 15% in Phase 3 or worse, 56,543 of 376,954 people analysedMarkafi (NG019018): 10% in Phase 3 or worse, 25,526 of 255,261 people analysedMarte (NG008022): 0% in Phase 3 or worse, 0 of 48,087 people analysedMaru (NG037010): 22% in Phase 3 or worse, 117,885 of 535,839 people analysedMashegu (NG027016): 15% in Phase 3 or worse, 60,960 of 406,403 people analysedMashi (NG021027): 17% in Phase 3 or worse, 49,966 of 293,919 people analysedMatazu (NG021028): 9% in Phase 3 or worse, 17,599 of 195,546 people analysedMayo-Belwa (NG002012): 22% in Phase 3 or worse, 60,701 of 275,914 people analysedMbaitoli (NG017011): 0% in Phase 3 or worse, 0 of 48,087 people analysedMbo (NG003017): 0% in Phase 3 or worse, 0 of 48,087 people analysedMichika (NG002013): 27% in Phase 3 or worse, 75,684 of 280,310 people analysedMiga (NG018022): 6% in Phase 3 or worse, 14,508 of 241,795 people analysedMikang (NG032012): 15% in Phase 3 or worse, 26,203 of 174,685 people analysedMinjibir (NG020030): 6% in Phase 3 or worse, 24,628 of 410,473 people analysedMisau (NG005014): 13% in Phase 3 or worse, 64,654 of 497,336 people analysedMkpat Enin (NG003018): 0% in Phase 3 or worse, 0 of 48,087 people analysedMoba (NG013015): 21% in Phase 3 or worse, 56,877 of 270,844 people analysedMobbar (NG008023): 45% in Phase 3 or worse, 55,419 of 123,154 people analysedMokwa (NG027017): 8% in Phase 3 or worse, 36,387 of 454,842 people analysedMonguno (NG008024): 45% in Phase 3 or worse, 42,844 of 95,208 people analysedMopa-Muro (NG023013): 15% in Phase 3 or worse, 14,604 of 97,362 people analysedMoro (NG024012): 12% in Phase 3 or worse, 21,400 of 178,333 people analysedMubi North (NG002014): 15% in Phase 3 or worse, 41,038 of 273,587 people analysedMubi South (NG002015): 17% in Phase 3 or worse, 39,892 of 234,659 people analysedMusawa (NG021029): 9% in Phase 3 or worse, 26,288 of 292,091 people analysedMuya (NG027018): 13% in Phase 3 or worse, 25,404 of 195,416 people analysedNafada (NG016009): 15% in Phase 3 or worse, 35,409 of 236,057 people analysedNangere (NG036012): 29% in Phase 3 or worse, 83,957 of 289,510 people analysedNasarawa (NG020031): 6% in Phase 3 or worse, 66,885 of 1,114,748 people analysedNasarawa: not in this analysis, or not matchedNasarawa-Eggon (NG026010): 15% in Phase 3 or worse, 31,893 of 212,623 people analysedNdokwa East (NG010011): 0% in Phase 3 or worse, 0 of 48,087 people analysedNdokwa West (NG010012): 0% in Phase 3 or worse, 0 of 48,087 people analysedNembe (NG006004): 0% in Phase 3 or worse, 0 of 48,087 people analysedNgala (NG008025): 46% in Phase 3 or worse, 72,955 of 158,597 people analysedNganzai (NG008026): 36% in Phase 3 or worse, 89,955 of 249,874 people analysedNgaski (NG022015): 13% in Phase 3 or worse, 27,388 of 210,678 people analysedNgor-Okpala (NG017012): 0% in Phase 3 or worse, 0 of 48,087 people analysedNguru (NG036013): 14% in Phase 3 or worse, 50,475 of 360,537 people analysedNingi (NG005015): 13% in Phase 3 or worse, 95,008 of 730,830 people analysedNjaba (NG017013): 0% in Phase 3 or worse, 0 of 48,087 people analysedNjikoka (NG004013): 0% in Phase 3 or worse, 0 of 48,087 people analysedNkanu East (NG014011): 10% in Phase 3 or worse, 26,870 of 268,703 people analysedNkanu West (NG014012): 10% in Phase 3 or worse, 26,495 of 264,948 people analysedNkwerre (NG017014): 0% in Phase 3 or worse, 0 of 48,087 people analysedNnewi North (NG004014): 0% in Phase 3 or worse, 0 of 48,087 people analysedNnewi South (NG004015): 0% in Phase 3 or worse, 0 of 48,087 people analysedNsit Atai (NG003019): 0% in Phase 3 or worse, 0 of 48,087 people analysedNsit Ibom (NG003020): 0% in Phase 3 or worse, 0 of 48,087 people analysedNsit Ubium (NG003021): 0% in Phase 3 or worse, 0 of 48,087 people analysedNsukka (NG014013): 9% in Phase 3 or worse, 49,012 of 544,573 people analysedNuman (NG002016): 21% in Phase 3 or worse, 34,715 of 165,308 people analysedNwangele (NG017015): 0% in Phase 3 or worse, 0 of 48,087 people analysedObafemi-Owode (NG028015): 7% in Phase 3 or worse, 38,709 of 552,980 people analysedObanliku (NG009013): 9% in Phase 3 or worse, 18,258 of 202,868 people analysedObi (NG007014): 15% in Phase 3 or worse, 26,943 of 179,618 people analysedObi: not in this analysis, or not matchedObi Ngwa (NG001009): 10% in Phase 3 or worse, 35,856 of 358,557 people analysedObia/Akpor (NG033015): 8% in Phase 3 or worse, 64,654 of 808,178 people analysedObokun (NG030024): 0% in Phase 3 or worse, 0 of 48,087 people analysedObot Akara (NG003022): 0% in Phase 3 or worse, 0 of 48,087 people analysedObowo (NG017016): 0% in Phase 3 or worse, 0 of 48,087 people analysedObubra (NG009014): 12% in Phase 3 or worse, 38,313 of 319,279 people analysedObudu (NG009015): 9% in Phase 3 or worse, 26,889 of 298,764 people analysedOdeda (NG028016): 7% in Phase 3 or worse, 18,035 of 257,639 people analysedOdigbo (NG029013): 0% in Phase 3 or worse, 0 of 48,087 people analysedOdo-Otin (NG030025): 0% in Phase 3 or worse, 0 of 48,087 people analysedOdogbolu (NG028017): 12% in Phase 3 or worse, 35,471 of 295,595 people analysedOdukpani (NG009016): 10% in Phase 3 or worse, 35,692 of 356,918 people analysedOffa (NG024013): 14% in Phase 3 or worse, 20,438 of 145,988 people analysedOfu (NG023014): 18% in Phase 3 or worse, 50,845 of 282,470 people analysedOgba/Egbema/Ndoni (NG033016): 6% in Phase 3 or worse, 24,072 of 401,205 people analysedOgbadibo (NG007015): 15% in Phase 3 or worse, 35,754 of 238,360 people analysedOgbaru (NG004016): 0% in Phase 3 or worse, 0 of 48,087 people analysedOgbia (NG006005): 0% in Phase 3 or worse, 0 of 48,087 people analysedOgbomosho North (NG031021): 0% in Phase 3 or worse, 0 of 48,087 people analysedOgo Oluwa (NG031023): 0% in Phase 3 or worse, 0 of 48,087 people analysedOgoja (NG009017): 9% in Phase 3 or worse, 28,574 of 317,485 people analysedOgu/Bolo (NG033017): 8% in Phase 3 or worse, 11,384 of 142,306 people analysedOgun waterside (NG028018): 12% in Phase 3 or worse, 20,952 of 174,600 people analysedOguta (NG017017): 0% in Phase 3 or worse, 0 of 48,087 people analysedOhafia (NG001010): 15% in Phase 3 or worse, 72,667 of 484,449 people analysedOhaji/Egbema (NG017018): 0% in Phase 3 or worse, 0 of 48,087 people analysedOhaozara (NG011011): 0% in Phase 3 or worse, 0 of 48,087 people analysedOhaukwu (NG011012): 0% in Phase 3 or worse, 0 of 48,087 people analysedOhimini (NG007016): 15% in Phase 3 or worse, 19,295 of 128,631 people analysedOji-River (NG014014): 7% in Phase 3 or worse, 16,004 of 228,630 people analysedOjo (NG025017): 5% in Phase 3 or worse, 88,388 of 1,767,766 people analysedOju (NG007017): 15% in Phase 3 or worse, 45,991 of 306,605 people analysedOke-Ero (NG024014): 14% in Phase 3 or worse, 22,257 of 158,978 people analysedOkehi (NG023016): 14% in Phase 3 or worse, 46,170 of 329,785 people analysedOkene (NG023017): 14% in Phase 3 or worse, 67,236 of 480,254 people analysedOkigwe (NG017019): 0% in Phase 3 or worse, 0 of 48,087 people analysedOkitipupa (NG029014): 0% in Phase 3 or worse, 0 of 48,087 people analysedOkobo (NG003023): 0% in Phase 3 or worse, 0 of 48,087 people analysedOkpe (NG010013): 0% in Phase 3 or worse, 0 of 48,087 people analysedOkpokwu (NG007018): 15% in Phase 3 or worse, 47,930 of 319,533 people analysedOkrika (NG033018): 8% in Phase 3 or worse, 31,505 of 393,807 people analysedOla-oluwa (NG030026): 0% in Phase 3 or worse, 0 of 48,087 people analysedOlamabolo (NG023018): 18% in Phase 3 or worse, 42,072 of 233,734 people analysedOlorunda (NG030027): 0% in Phase 3 or worse, 0 of 48,087 people analysedOlorunsogo (NG031024): 0% in Phase 3 or worse, 0 of 48,087 people analysedOluyole (NG031025): 0% in Phase 3 or worse, 0 of 48,087 people analysedOmala (NG023019): 18% in Phase 3 or worse, 39,043 of 216,906 people analysedOmumma (NG033019): 8% in Phase 3 or worse, 14,891 of 186,143 people analysedOna-Ara (NG031026): 0% in Phase 3 or worse, 0 of 48,087 people analysedOndo East (NG029015): 0% in Phase 3 or worse, 0 of 48,087 people analysedOndo West (NG029016): 0% in Phase 3 or worse, 0 of 48,087 people analysedOnicha (NG011013): 0% in Phase 3 or worse, 0 of 48,087 people analysedOnna (NG003024): 0% in Phase 3 or worse, 0 of 48,087 people analysedOpobo/Nkoro (NG033020): 11% in Phase 3 or worse, 35,652 of 324,111 people analysedOredo (NG012012): 8% in Phase 3 or worse, 56,821 of 710,261 people analysedOrelope (NG031027): 0% in Phase 3 or worse, 0 of 48,087 people analysedOrhionmwon (NG012013): 8% in Phase 3 or worse, 27,915 of 348,941 people analysedOri Ire (NG031028): 0% in Phase 3 or worse, 0 of 48,087 people analysedOriade (NG030028): 0% in Phase 3 or worse, 0 of 48,087 people analysedOrlu (NG017020): 0% in Phase 3 or worse, 0 of 48,087 people analysedOrolu (NG030029): 0% in Phase 3 or worse, 0 of 48,087 people analysedOron (NG003025): 0% in Phase 3 or worse, 0 of 48,087 people analysedOrsu (NG017021): 0% in Phase 3 or worse, 0 of 48,087 people analysedOru East (NG017022): 0% in Phase 3 or worse, 0 of 48,087 people analysedOru West (NG017023): 0% in Phase 3 or worse, 0 of 48,087 people analysedOruk Anam (NG003026): 0% in Phase 3 or worse, 0 of 48,087 people analysedOrumba North (NG004019): 0% in Phase 3 or worse, 0 of 48,087 people analysedOrumba South (NG004020): 0% in Phase 3 or worse, 0 of 48,087 people analysedOse (NG029017): 0% in Phase 3 or worse, 0 of 48,087 people analysedOshimili North (NG010014): 0% in Phase 3 or worse, 0 of 48,087 people analysedOshimili South (NG010015): 0% in Phase 3 or worse, 0 of 48,087 people analysedOshodi-Isolo (NG025018): 5% in Phase 3 or worse, 106,509 of 2,130,183 people analysedOsisioma Ngwa (NG001011): 12% in Phase 3 or worse, 52,084 of 434,033 people analysedOsogbo (NG030030): 0% in Phase 3 or worse, 0 of 48,087 people analysedOturkpo (NG007019): 15% in Phase 3 or worse, 72,719 of 484,791 people analysedOvia North East (NG012014): 8% in Phase 3 or worse, 23,663 of 295,788 people analysedOvia South West (NG012015): 8% in Phase 3 or worse, 20,948 of 261,851 people analysedOwan East (NG012016): 10% in Phase 3 or worse, 29,325 of 293,253 people analysedOwan West (NG012017): 10% in Phase 3 or worse, 18,786 of 187,858 people analysedOwerri-Municipal (NG017026): 0% in Phase 3 or worse, 0 of 48,087 people analysedOwerri North (NG017024): 0% in Phase 3 or worse, 0 of 48,087 people analysedOwerri West (NG017025): 0% in Phase 3 or worse, 0 of 48,087 people analysedOwo (NG029018): 0% in Phase 3 or worse, 0 of 48,087 people analysedOye (NG013016): 21% in Phase 3 or worse, 53,900 of 256,666 people analysedOyi (NG004021): 0% in Phase 3 or worse, 0 of 48,087 people analysedOyigbo (NG033021): 11% in Phase 3 or worse, 30,240 of 274,912 people analysedOyo East (NG031029): 0% in Phase 3 or worse, 0 of 48,087 people analysedOyo West (NG031030): 0% in Phase 3 or worse, 0 of 48,087 people analysedOyun (NG024015): 14% in Phase 3 or worse, 13,080 of 93,428 people analysedPaikoro (NG027019): 13% in Phase 3 or worse, 38,840 of 298,772 people analysedPankshin (NG032013): 18% in Phase 3 or worse, 55,988 of 311,044 people analysedPatani (NG010016): 0% in Phase 3 or worse, 0 of 48,087 people analysedPategi (NG024016): 12% in Phase 3 or worse, 21,820 of 181,830 people analysedPort-Harcourt (NG033022): 8% in Phase 3 or worse, 75,077 of 938,459 people analysedPotiskum (NG036014): 13% in Phase 3 or worse, 98,626 of 758,663 people analysedQua'an Pan (NG032014): 15% in Phase 3 or worse, 48,381 of 322,542 people analysedRabah (NG034012): 35% in Phase 3 or worse, 90,905 of 259,730 people analysedRafi (NG027020): 13% in Phase 3 or worse, 45,157 of 347,363 people analysedRano (NG020032): 9% in Phase 3 or worse, 24,943 of 277,141 people analysedRemo North (NG028019): 12% in Phase 3 or worse, 16,867 of 140,560 people analysedRijau (NG027021): 15% in Phase 3 or worse, 49,939 of 332,927 people analysedRimi (NG021030): 18% in Phase 3 or worse, 47,655 of 264,749 people analysedRimin Gado (NG020033): 10% in Phase 3 or worse, 19,321 of 193,210 people analysedRingim (NG018023): 12% in Phase 3 or worse, 71,272 of 593,931 people analysedRiyom (NG032015): 13% in Phase 3 or worse, 28,261 of 217,395 people analysedRogo (NG020034): 9% in Phase 3 or worse, 38,288 of 425,418 people analysedRoni (NG018024): 12% in Phase 3 or worse, 43,658 of 363,813 people analysedSabon-Gari (NG019019): 10% in Phase 3 or worse, 50,740 of 507,405 people analysedSabon Birni (NG034013): 35% in Phase 3 or worse, 109,632 of 313,235 people analysedSabuwa (NG021031): 7% in Phase 3 or worse, 16,919 of 241,703 people analysedSafana (NG021032): 18% in Phase 3 or worse, 57,277 of 318,208 people analysedSagbama (NG006006): 0% in Phase 3 or worse, 0 of 48,087 people analysedSakaba (NG022016): 13% in Phase 3 or worse, 28,836 of 221,814 people analysedSaki East (NG031031): 0% in Phase 3 or worse, 0 of 48,087 people analysedSaki West (NG031032): 0% in Phase 3 or worse, 0 of 48,087 people analysedSandamu (NG021033): 25% in Phase 3 or worse, 58,822 of 235,286 people analysedSanga (NG019020): 16% in Phase 3 or worse, 42,210 of 263,810 people analysedSapele (NG010017): 0% in Phase 3 or worse, 0 of 48,087 people analysedSardauna (NG035011): 18% in Phase 3 or worse, 68,469 of 380,385 people analysedShagamu (NG028020): 12% in Phase 3 or worse, 72,233 of 601,943 people analysedShagari (NG034014): 17% in Phase 3 or worse, 52,178 of 306,931 people analysedShanga (NG022017): 13% in Phase 3 or worse, 20,976 of 161,350 people analysedShani (NG008027): 15% in Phase 3 or worse, 41,900 of 279,335 people analysedShanono (NG020035): 10% in Phase 3 or worse, 26,004 of 260,044 people analysedShelleng (NG002017): 21% in Phase 3 or worse, 56,306 of 268,125 people analysedShendam (NG032016): 15% in Phase 3 or worse, 50,270 of 335,132 people analysedShinkafi (NG037011): 21% in Phase 3 or worse, 51,782 of 246,581 people analysedShira (NG005016): 11% in Phase 3 or worse, 48,587 of 441,704 people analysedShiroro (NG027022): 13% in Phase 3 or worse, 57,857 of 445,051 people analysedShomgom (NG016010): 16% in Phase 3 or worse, 41,414 of 258,836 people analysedSilame (NG034015): 35% in Phase 3 or worse, 70,394 of 201,125 people analysedSoba (NG019021): 10% in Phase 3 or worse, 50,128 of 501,284 people analysedSong (NG002018): 21% in Phase 3 or worse, 74,014 of 352,447 people analysedSouthern Ijaw (NG006007): 0% in Phase 3 or worse, 0 of 48,087 people analysedSule-Tankarkar (NG018025): 12% in Phase 3 or worse, 17,565 of 146,378 people analysedSuleja (NG027023): 13% in Phase 3 or worse, 52,802 of 406,172 people analysedSumaila (NG020036): 9% in Phase 3 or worse, 42,118 of 467,981 people analysedSuru (NG022018): 14% in Phase 3 or worse, 36,563 of 261,166 people analysedSurulere: not in this analysis, or not matchedTafa (NG027024): 13% in Phase 3 or worse, 20,426 of 157,125 people analysedTafawa-Balewa (NG005017): 6% in Phase 3 or worse, 24,914 of 415,231 people analysedTai (NG033023): 11% in Phase 3 or worse, 29,322 of 266,565 people analysedTakai (NG020037): 9% in Phase 3 or worse, 34,088 of 378,751 people analysedTakum (NG035012): 13% in Phase 3 or worse, 34,060 of 262,002 people analysedTalata Mafara (NG037012): 16% in Phase 3 or worse, 63,336 of 395,850 people analysedTambuwal (NG034018): 17% in Phase 3 or worse, 67,093 of 394,667 people analysedTangaza (NG034019): 35% in Phase 3 or worse, 63,016 of 180,048 people analysedTarka (NG007020): 22% in Phase 3 or worse, 31,739 of 144,266 people analysedTarmua (NG036015): 29% in Phase 3 or worse, 42,711 of 147,278 people analysedTaura (NG018026): 12% in Phase 3 or worse, 30,589 of 254,911 people analysedTofa (NG020039): 10% in Phase 3 or worse, 18,430 of 184,299 people analysedToro (NG005018): 6% in Phase 3 or worse, 39,684 of 661,393 people analysedToto (NG026012): 12% in Phase 3 or worse, 20,360 of 169,667 people analysedToungo (NG002019): 6% in Phase 3 or worse, 5,653 of 94,219 people analysedTsafe (NG037013): 21% in Phase 3 or worse, 102,444 of 487,828 people analysedTsanyawa (NG020040): 10% in Phase 3 or worse, 29,481 of 294,812 people analysedTudun Wada (NG020041): 9% in Phase 3 or worse, 38,464 of 427,383 people analysedTureta (NG034020): 17% in Phase 3 or worse, 22,817 of 134,218 people analysedUdenu (NG014015): 9% in Phase 3 or worse, 29,010 of 322,328 people analysedUdi (NG014016): 7% in Phase 3 or worse, 29,584 of 422,634 people analysedUdu (NG010018): 0% in Phase 3 or worse, 0 of 48,087 people analysedUghelli North (NG010019): 0% in Phase 3 or worse, 0 of 48,087 people analysedUghelli South (NG010020): 0% in Phase 3 or worse, 0 of 48,087 people analysedUgwunagbo (NG001012): 10% in Phase 3 or worse, 16,327 of 163,268 people analysedUhunmwonde (NG012018): 8% in Phase 3 or worse, 18,472 of 230,895 people analysedUkanafun (NG003028): 0% in Phase 3 or worse, 0 of 48,087 people analysedUkum (NG007021): 17% in Phase 3 or worse, 67,124 of 394,846 people analysedUkwa East (NG001013): 10% in Phase 3 or worse, 11,633 of 116,328 people analysedUkwa West (NG001014): 10% in Phase 3 or worse, 17,500 of 175,001 people analysedUkwuani (NG010021): 0% in Phase 3 or worse, 0 of 48,087 people analysedUmu-Nneochi (NG001017): 15% in Phase 3 or worse, 48,593 of 323,951 people analysedUmuahia North (NG001015): 12% in Phase 3 or worse, 52,328 of 436,064 people analysedUmuahia South (NG001016): 12% in Phase 3 or worse, 32,861 of 273,840 people analysedUngogo (NG020042): 6% in Phase 3 or worse, 40,830 of 680,496 people analysedUnuimo (NG017027): 0% in Phase 3 or worse, 0 of 48,087 people analysedUruan (NG003029): 0% in Phase 3 or worse, 0 of 48,087 people analysedUrue-Offong/Oruko (NG003030): 0% in Phase 3 or worse, 0 of 48,087 people analysedUshongo (NG007022): 17% in Phase 3 or worse, 59,375 of 349,266 people analysedUssa (NG035013): 13% in Phase 3 or worse, 19,450 of 149,615 people analysedUvwie (NG010022): 0% in Phase 3 or worse, 0 of 48,087 people analysedUyo (NG003031): 0% in Phase 3 or worse, 0 of 48,087 people analysedUzo-Uwani (NG014017): 9% in Phase 3 or worse, 20,234 of 224,826 people analysedVandeikya (NG007023): 17% in Phase 3 or worse, 72,563 of 426,843 people analysedWamako (NG034021): 27% in Phase 3 or worse, 70,260 of 260,221 people analysedWamba (NG026013): 15% in Phase 3 or worse, 15,589 of 103,929 people analysedWarawa (NG020043): 6% in Phase 3 or worse, 14,787 of 246,455 people analysedWarji (NG005019): 13% in Phase 3 or worse, 28,150 of 216,536 people analysedWarri North (NG010023): 0% in Phase 3 or worse, 0 of 48,087 people analysedWarri South (NG010024): 0% in Phase 3 or worse, 0 of 48,087 people analysedWarri South West (NG010025): 0% in Phase 3 or worse, 0 of 48,087 people analysedWasagu/Danko (NG022019): 13% in Phase 3 or worse, 29,073 of 223,642 people analysedWase (NG032017): 15% in Phase 3 or worse, 39,372 of 262,477 people analysedWudil (NG020044): 9% in Phase 3 or worse, 31,733 of 352,584 people analysedWukari (NG035014): 13% in Phase 3 or worse, 52,518 of 403,984 people analysedWurno (NG034022): 16% in Phase 3 or worse, 47,644 of 297,772 people analysedWushishi (NG027025): 15% in Phase 3 or worse, 23,164 of 154,429 people analysedYabo (NG034023): 17% in Phase 3 or worse, 33,535 of 197,266 people analysedYagba East (NG023020): 15% in Phase 3 or worse, 32,667 of 217,780 people analysedYagba West (NG023021): 15% in Phase 3 or worse, 30,962 of 206,416 people analysedYakurr (NG009018): 12% in Phase 3 or worse, 43,582 of 363,186 people analysedYala (NG009019): 9% in Phase 3 or worse, 35,232 of 391,472 people analysedYamaltu/Deba (NG016011): 12% in Phase 3 or worse, 52,324 of 436,030 people analysedYankwashi (NG018027): 12% in Phase 3 or worse, 29,920 of 249,330 people analysedYauri (NG022020): 13% in Phase 3 or worse, 22,996 of 176,892 people analysedYenegoa (NG006008): 0% in Phase 3 or worse, 0 of 48,087 people analysedYola North (NG002020): 22% in Phase 3 or worse, 79,320 of 360,547 people analysedYola South (NG002021): 17% in Phase 3 or worse, 60,226 of 354,268 people analysedYorro (NG035015): 15% in Phase 3 or worse, 22,853 of 152,354 people analysedYunusari (NG036016): 22% in Phase 3 or worse, 52,805 of 240,022 people analysedYusufari (NG036017): 27% in Phase 3 or worse, 57,217 of 211,913 people analysedZaki (NG005020): 11% in Phase 3 or worse, 39,752 of 361,378 people analysedZango (NG021034): 25% in Phase 3 or worse, 67,028 of 268,116 people analysedZango-Kataf (NG019022): 16% in Phase 3 or worse, 88,884 of 555,528 people analysedZaria (NG019023): 10% in Phase 3 or worse, 70,878 of 708,779 people analysedZing (NG035016): 15% in Phase 3 or worse, 32,471 of 216,474 people analysedZurmi (NG037014): 10% in Phase 3 or worse, 52,944 of 529,436 people analysedZuru (NG022021): 13% in Phase 3 or worse, 37,807 of 290,826 people analysedNigeria
  • Under 10%322districts
  • 10–19%332districts
  • 20–29%49districts
  • 30–39%20districts
  • 40–49%9districts
  • 50% or more1district
  • Not analysed7districts, or not matched; not zero need
Share of each district's analysed population in Phase 3 (Crisis) or worse, from the latest current analysis E54; where an analysis splits a district (rural, urban, displaced people), its groups are added up. This is the population share, not the IPC area classification, and it describes the analysis period, not today. Drawn only where the analysis uses the same districts as the boundary set. Tap or hover a district for its figures. Boundaries: Nigeria - Subnational Administrative Boundaries (CC BY-IGO, 766 of 766 analysis areas matched by code and name).

Who reports working where, by district

Period · Latest reporting round: Nigeria Apr–Jun 2026

Abadam: no organisation reported here in this roundAbaji: no organisation reported here in this roundAbak: no organisation reported here in this roundAbakaliki: no organisation reported here in this roundAbeokuta North: no organisation reported here in this roundAbeokuta South: no organisation reported here in this roundAbi: no organisation reported here in this roundAboh-Mbaise: no organisation reported here in this roundAbua/Odual: no organisation reported here in this roundAbuja Municipal: no organisation reported here in this roundAdavi: no organisation reported here in this roundAdo: no organisation reported here in this roundAdo-Odo/Ota: no organisation reported here in this roundAdo Ekiti: no organisation reported here in this roundAfijio: no organisation reported here in this roundAfikpo North: no organisation reported here in this roundAfikpo South: no organisation reported here in this roundAgaie: no organisation reported here in this roundAgatu: no organisation reported here in this roundAguata: no organisation reported here in this roundAgwara: no organisation reported here in this roundAhiazu-Mbaise: no organisation reported here in this roundAhoada East: no organisation reported here in this roundAhoada West: no organisation reported here in this roundAiyedade: no organisation reported here in this roundAiyedire: no organisation reported here in this roundAiyekire (Gbonyin): no organisation reported here in this roundAjaokuta: no organisation reported here in this roundAjingi: no organisation reported here in this roundAkamkpa: no organisation reported here in this roundAkinyele: no organisation reported here in this roundAkko: no organisation reported here in this roundAkoko-Edo: no organisation reported here in this roundAkoko North East: no organisation reported here in this roundAkoko North West: no organisation reported here in this roundAkoko South East: no organisation reported here in this roundAkoko South West: no organisation reported here in this roundAkpabuyo: no organisation reported here in this roundAkuku Toru: no organisation reported here in this roundAkure North: no organisation reported here in this roundAkure South: no organisation reported here in this roundAkwanga: no organisation reported here in this roundAlbasu: no organisation reported here in this roundAleiro: no organisation reported here in this roundAlimosho: no organisation reported here in this roundAlkaleri: no organisation reported here in this roundAmuwo-Odofin: no organisation reported here in this roundAnambra East: no organisation reported here in this roundAnambra West: no organisation reported here in this roundAnaocha: no organisation reported here in this roundAndoni: no organisation reported here in this roundAninri: no organisation reported here in this roundAniocha North: no organisation reported here in this roundAniocha South: no organisation reported here in this roundAnka: no organisation reported here in this roundAnkpa: no organisation reported here in this roundApa: no organisation reported here in this roundArdo-Kola: no organisation reported here in this roundArewa-Dandi: no organisation reported here in this roundArgungu: no organisation reported here in this roundArochukwu: no organisation reported here in this roundAsa: no organisation reported here in this roundAsari-Toru: no organisation reported here in this roundAskira/Uba (NG008002): 7 organisations in the sectors covered, 8 in any sectorAtakumosa East: no organisation reported here in this roundAtakumosa West: no organisation reported here in this roundAtiba: no organisation reported here in this roundAtigbo: no organisation reported here in this roundAugie: no organisation reported here in this roundAuyo: no organisation reported here in this roundAwe: no organisation reported here in this roundAwgu: no organisation reported here in this roundAwka North: no organisation reported here in this roundAwka South: no organisation reported here in this roundAyamelum: no organisation reported here in this roundBabura: no organisation reported here in this roundBadagry: no organisation reported here in this roundBade (NG036001): 13 organisations in the sectors coveredBagudo: no organisation reported here in this roundBagwai: no organisation reported here in this roundBakori: no organisation reported here in this roundBakura: no organisation reported here in this roundBalanga: no organisation reported here in this roundBali: no organisation reported here in this roundBama (NG008003): 43 organisations in the sectors coveredBarikin Ladi: no organisation reported here in this roundBaruten: no organisation reported here in this roundBassa: no organisation reported here in this roundBassa: no organisation reported here in this roundBatagarawa: no organisation reported here in this roundBatsari: no organisation reported here in this roundBauchi: no organisation reported here in this roundBaure: no organisation reported here in this roundBayo (NG008004): 2 organisations in the sectors coveredBebeji: no organisation reported here in this roundBekwara: no organisation reported here in this roundBende: no organisation reported here in this roundBiase: no organisation reported here in this roundBichi: no organisation reported here in this roundBilliri: no organisation reported here in this roundBindawa: no organisation reported here in this roundBinji: no organisation reported here in this roundBiriniwa: no organisation reported here in this roundBirni Kudu: no organisation reported here in this roundBirnin-Gwari: no organisation reported here in this roundBirnin Kebbi: no organisation reported here in this roundBirnin Magaji: no organisation reported here in this roundBiu (NG008005): 7 organisations in the sectors covered, 8 in any sectorBodinga: no organisation reported here in this roundBogoro: no organisation reported here in this roundBoki: no organisation reported here in this roundBokkos: no organisation reported here in this roundBoluwaduro: no organisation reported here in this roundBomadi: no organisation reported here in this roundBonny: no organisation reported here in this roundBorgu: no organisation reported here in this roundBoripe: no organisation reported here in this roundBosso: no organisation reported here in this roundBrass: no organisation reported here in this roundBuji: no organisation reported here in this roundBukkuyum: no organisation reported here in this roundBungudu: no organisation reported here in this roundBunkure: no organisation reported here in this roundBunza: no organisation reported here in this roundBursari (NG036002): 5 organisations in the sectors coveredBuruku: no organisation reported here in this roundBurutu: no organisation reported here in this roundBwari: no organisation reported here in this roundCalabar-Municipal: no organisation reported here in this roundCalabar South: no organisation reported here in this roundChanchaga: no organisation reported here in this roundCharanchi: no organisation reported here in this roundChibok (NG008006): 5 organisations in the sectors covered, 6 in any sectorChikun: no organisation reported here in this roundDamaturu (NG036003): 21 organisations in the sectors covered, 22 in any sectorDamban: no organisation reported here in this roundDambatta: no organisation reported here in this roundDamboa (NG008007): 25 organisations in the sectors covered, 26 in any sectorDan Musa: no organisation reported here in this roundDandi: no organisation reported here in this roundDandume: no organisation reported here in this roundDange-Shuni: no organisation reported here in this roundDanja: no organisation reported here in this roundDarazo: no organisation reported here in this roundDass: no organisation reported here in this roundDaura: no organisation reported here in this roundDawakin Kudu: no organisation reported here in this roundDawakin Tofa: no organisation reported here in this roundDegema: no organisation reported here in this roundDekina: no organisation reported here in this roundDemsa (NG002001): 6 organisations in the sectors coveredDikwa (NG008008): 30 organisations in the sectors coveredDoguwa: no organisation reported here in this roundDoma: no organisation reported here in this roundDonga: no organisation reported here in this roundDukku: no organisation reported here in this roundDunukofia: no organisation reported here in this roundDutse: no organisation reported here in this roundDutsi: no organisation reported here in this roundDutsin-Ma: no organisation reported here in this roundEbonyi: no organisation reported here in this roundEdati: no organisation reported here in this roundEde North: no organisation reported here in this roundEde South: no organisation reported here in this roundEdu: no organisation reported here in this roundEfon: no organisation reported here in this roundEgbado North: no organisation reported here in this roundEgbado South: no organisation reported here in this roundEgbeda: no organisation reported here in this roundEgbedore: no organisation reported here in this roundEhime-Mbano: no organisation reported here in this roundEjigbo: no organisation reported here in this roundEkeremor: no organisation reported here in this roundEket: no organisation reported here in this roundEkiti: no organisation reported here in this roundEkiti East: no organisation reported here in this roundEkiti South West: no organisation reported here in this roundEkiti West: no organisation reported here in this roundEkwusigo: no organisation reported here in this roundEleme: no organisation reported here in this roundEmohua: no organisation reported here in this roundEmure: no organisation reported here in this roundEnugu East: no organisation reported here in this roundEnugu North: no organisation reported here in this roundEpe: no organisation reported here in this roundEsan Central: no organisation reported here in this roundEsan North East: no organisation reported here in this roundEsan South East: no organisation reported here in this roundEsan West: no organisation reported here in this roundEse-Odo: no organisation reported here in this roundEsit - Eket: no organisation reported here in this roundEssien Udim: no organisation reported here in this roundEtche: no organisation reported here in this roundEthiope East: no organisation reported here in this roundEthiope West: no organisation reported here in this roundEti-Osa: no organisation reported here in this roundEtim Ekpo: no organisation reported here in this roundEtinan: no organisation reported here in this roundEtsako Central: no organisation reported here in this roundEtsako East: no organisation reported here in this roundEtsako West: no organisation reported here in this roundEtung: no organisation reported here in this roundEwekoro: no organisation reported here in this roundEzeagu: no organisation reported here in this roundEzinihitte: no organisation reported here in this roundEzza North: no organisation reported here in this roundEzza South: no organisation reported here in this roundFagge: no organisation reported here in this roundFakai: no organisation reported here in this roundFaskari: no organisation reported here in this roundFika (NG036004): 5 organisations in the sectors coveredFufore (NG002002): 7 organisations in the sectors covered, 8 in any sectorFunakaye: no organisation reported here in this roundFune (NG036005): 10 organisations in the sectors coveredFuntua: no organisation reported here in this roundGabasawa: no organisation reported here in this roundGada: no organisation reported here in this roundGagarawa: no organisation reported here in this roundGamawa: no organisation reported here in this roundGanjuwa: no organisation reported here in this roundGanye (NG002003): 2 organisations in the sectors covered, 3 in any sectorGarki: no organisation reported here in this roundGarko: no organisation reported here in this roundGarum Mallam: no organisation reported here in this roundGashaka: no organisation reported here in this roundGassol: no organisation reported here in this roundGaya: no organisation reported here in this roundGbako: no organisation reported here in this roundGboko: no organisation reported here in this roundGeidam (NG036006): 19 organisations in the sectors coveredGezawa: no organisation reported here in this roundGiade: no organisation reported here in this roundGirei (NG002005): 8 organisations in the sectors coveredGiwa: no organisation reported here in this roundGokana: no organisation reported here in this roundGombe: no organisation reported here in this roundGombi (NG002004): 6 organisations in the sectors covered, 7 in any sectorGoronyo: no organisation reported here in this roundGubio (NG008009): 12 organisations in the sectors covered, 13 in any sectorGudu: no organisation reported here in this roundGujba (NG036007): 16 organisations in the sectors covered, 18 in any sectorGulani (NG036008): 6 organisations in the sectors coveredGuma: no organisation reported here in this roundGumel: no organisation reported here in this roundGummi: no organisation reported here in this roundGurara: no organisation reported here in this roundGuri: no organisation reported here in this roundGusau: no organisation reported here in this roundGuyuk (NG002006): 5 organisations in the sectors coveredGuzamala: no organisation reported here in this roundGwadabawa: no organisation reported here in this roundGwagwalada: no organisation reported here in this roundGwandu: no organisation reported here in this roundGwaram: no organisation reported here in this roundGwarzo: no organisation reported here in this roundGwer East: no organisation reported here in this roundGwer West: no organisation reported here in this roundGwiwa: no organisation reported here in this roundGwoza (NG008011): 33 organisations in the sectors coveredHawul (NG008012): 4 organisations in the sectors coveredHong (NG002007): 6 organisations in the sectors covered, 7 in any sectorIbadan North: no organisation reported here in this roundIbadan South West: no organisation reported here in this roundIbaji: no organisation reported here in this roundIbarapa Central: no organisation reported here in this roundIbarapa East: no organisation reported here in this roundIbarapa North: no organisation reported here in this roundIbeju/Lekki: no organisation reported here in this roundIbeno: no organisation reported here in this roundIbesikpo Asutan: no organisation reported here in this roundIbi: no organisation reported here in this roundIbiono Ibom: no organisation reported here in this roundIdah: no organisation reported here in this roundIdanre: no organisation reported here in this roundIdeato North: no organisation reported here in this roundIdeato South: no organisation reported here in this roundIdemili North: no organisation reported here in this roundIdemili South: no organisation reported here in this roundIdo: no organisation reported here in this roundIdo-Osi: no organisation reported here in this roundIfe Central: no organisation reported here in this roundIfe East: no organisation reported here in this roundIfe North: no organisation reported here in this roundIfe South: no organisation reported here in this roundIfedayo: no organisation reported here in this roundIfedore: no organisation reported here in this roundIfelodun: no organisation reported here in this roundIfelodun: no organisation reported here in this roundIfo: no organisation reported here in this roundIgabi: no organisation reported here in this roundIgalamela-Odolu: no organisation reported here in this roundIgbo-Etiti: no organisation reported here in this roundIgbo-Eze North: no organisation reported here in this roundIgbo-Eze South: no organisation reported here in this roundIgueben: no organisation reported here in this roundIhiala: no organisation reported here in this roundIhitte/Uboma: no organisation reported here in this roundIjebu East: no organisation reported here in this roundIjebu North: no organisation reported here in this roundIjebu North East: no organisation reported here in this roundIjebu Ode: no organisation reported here in this roundIjero: no organisation reported here in this roundIjumu: no organisation reported here in this roundIka: no organisation reported here in this roundIka North East: no organisation reported here in this roundIka South: no organisation reported here in this roundIkara: no organisation reported here in this roundIkeduru: no organisation reported here in this roundIkenne: no organisation reported here in this roundIkere: no organisation reported here in this roundIkole: no organisation reported here in this roundIkom: no organisation reported here in this roundIkono: no organisation reported here in this roundIkorodu: no organisation reported here in this roundIkot Abasi: no organisation reported here in this roundIkot Ekpene: no organisation reported here in this roundIkpoba-Okha: no organisation reported here in this roundIkwerre: no organisation reported here in this roundIkwo: no organisation reported here in this roundIkwuano: no organisation reported here in this roundIla: no organisation reported here in this roundIlaje: no organisation reported here in this roundIle-Oluji-Okeigbo: no organisation reported here in this roundIlejemeji: no organisation reported here in this roundIlesha East: no organisation reported here in this roundIlesha West: no organisation reported here in this roundIllela: no organisation reported here in this roundIlorin East: no organisation reported here in this roundIlorin South: no organisation reported here in this roundIlorin West: no organisation reported here in this roundImeko-Afon: no organisation reported here in this roundIngawa: no organisation reported here in this roundIni: no organisation reported here in this roundIpokia: no organisation reported here in this roundIrele: no organisation reported here in this roundIrepo: no organisation reported here in this roundIrepodun: no organisation reported here in this roundIrepodun/Ifelodun: no organisation reported here in this roundIrewole: no organisation reported here in this roundIsa: no organisation reported here in this roundIse/Orun: no organisation reported here in this roundIseyin: no organisation reported here in this roundIshielu: no organisation reported here in this roundIsi-Uzo: no organisation reported here in this roundIsiala-Ngwa North: no organisation reported here in this roundIsiala-Ngwa South: no organisation reported here in this roundIsiala Mbano: no organisation reported here in this roundIsin: no organisation reported here in this roundIsiukwuato: no organisation reported here in this roundIsokan: no organisation reported here in this roundIsoko North: no organisation reported here in this roundIsoko South: no organisation reported here in this roundItas/Gadau: no organisation reported here in this roundItesiwaju: no organisation reported here in this roundItu: no organisation reported here in this roundIvo: no organisation reported here in this roundIwajowa: no organisation reported here in this roundIwo: no organisation reported here in this roundIzzi: no organisation reported here in this roundJaba: no organisation reported here in this roundJada (NG002008): 2 organisations in the sectors coveredJahun: no organisation reported here in this roundJakusko (NG036009): 11 organisations in the sectors coveredJalingo: no organisation reported here in this roundJama'are: no organisation reported here in this roundJega: no organisation reported here in this roundJema'a: no organisation reported here in this roundJere (NG008013): 59 organisations in the sectors covered, 60 in any sectorJibia: no organisation reported here in this roundJos East: no organisation reported here in this roundJos North: no organisation reported here in this roundJos South: no organisation reported here in this roundKabba/Bunu: no organisation reported here in this roundKabo: no organisation reported here in this roundKachia: no organisation reported here in this roundKaduna North: no organisation reported here in this roundKaduna South: no organisation reported here in this roundKafin Hausa: no organisation reported here in this roundKafur: no organisation reported here in this roundKaga (NG008014): 12 organisations in the sectors coveredKagarko: no organisation reported here in this roundKaiama: no organisation reported here in this roundKaita: no organisation reported here in this roundKajola: no organisation reported here in this roundKauru: no organisation reported here in this roundKala/Balge (NG008015): 8 organisations in the sectors covered, 9 in any sectorKalgo: no organisation reported here in this roundKaltungo: no organisation reported here in this roundKanam: no organisation reported here in this roundKankara: no organisation reported here in this roundKanke: no organisation reported here in this roundKankia: no organisation reported here in this roundKarasuwa (NG036010): 4 organisations in the sectors coveredKaraye: no organisation reported here in this roundKarim-Lamido: no organisation reported here in this roundKaru: no organisation reported here in this roundKatagum: no organisation reported here in this roundKatcha: no organisation reported here in this roundKatsina: no organisation reported here in this roundKatsina-Ala: no organisation reported here in this roundKaugama: no organisation reported here in this roundKaura: no organisation reported here in this roundKaura Namoda: no organisation reported here in this roundKajuru: no organisation reported here in this roundKazaure: no organisation reported here in this roundKeana: no organisation reported here in this roundKebbe: no organisation reported here in this roundKeffi: no organisation reported here in this roundKhana: no organisation reported here in this roundKibiya: no organisation reported here in this roundKirfi: no organisation reported here in this roundKiri Kasamma: no organisation reported here in this roundKiru: no organisation reported here in this roundKiyawa: no organisation reported here in this roundKogi: no organisation reported here in this roundKoko/Besse: no organisation reported here in this roundKokona: no organisation reported here in this roundKolokuma/Opokuma: no organisation reported here in this roundKonduga (NG008016): 44 organisations in the sectors covered, 45 in any sectorKonshisha: no organisation reported here in this roundKontagora: no organisation reported here in this roundKosofe: no organisation reported here in this roundKubau: no organisation reported here in this roundKudan: no organisation reported here in this roundKuje: no organisation reported here in this roundKukawa: no organisation reported here in this roundKumbotso: no organisation reported here in this roundKunchi: no organisation reported here in this roundKura: no organisation reported here in this roundKurfi: no organisation reported here in this roundKurmi: no organisation reported here in this roundKusada: no organisation reported here in this roundKwali: no organisation reported here in this roundKwami: no organisation reported here in this roundKwande: no organisation reported here in this roundKware: no organisation reported here in this roundKwaya Kusar (NG008018): 6 organisations in the sectors covered, 7 in any sectorLafia: no organisation reported here in this roundLagelu: no organisation reported here in this roundLamurde (NG002009): 5 organisations in the sectors covered, 6 in any sectorLangtang North: no organisation reported here in this roundLangtang South: no organisation reported here in this roundLapai: no organisation reported here in this roundLau: no organisation reported here in this roundLavun: no organisation reported here in this roundLere: no organisation reported here in this roundLogo: no organisation reported here in this roundLokoja: no organisation reported here in this roundMachina (NG036011): 4 organisations in the sectors coveredMadagali (NG002010): 33 organisations in the sectors covered, 35 in any sectorMadobi: no organisation reported here in this roundMafa (NG008019): 31 organisations in the sectors covered, 32 in any sectorMagama: no organisation reported here in this roundMagumeri (NG008020): 19 organisations in the sectors coveredMai'adua: no organisation reported here in this roundMaiduguri (NG008021): 57 organisations in the sectors covered, 58 in any sectorMaigatari: no organisation reported here in this roundMaiha (NG002011): 5 organisations in the sectors covered, 6 in any sectorMaiyama: no organisation reported here in this roundMakoda: no organisation reported here in this roundMakurdi: no organisation reported here in this roundMalam Madori: no organisation reported here in this roundMalumfashi: no organisation reported here in this roundMangu: no organisation reported here in this roundMani: no organisation reported here in this roundMaradun: no organisation reported here in this roundMariga: no organisation reported here in this roundMarkafi: no organisation reported here in this roundMarte: no organisation reported here in this roundMaru: no organisation reported here in this roundMashegu: no organisation reported here in this roundMashi: no organisation reported here in this roundMatazu: no organisation reported here in this roundMayo-Belwa (NG002012): 3 organisations in the sectors coveredMbaitoli: no organisation reported here in this roundMbo: no organisation reported here in this roundMichika (NG002013): 20 organisations in the sectors covered, 22 in any sectorMiga: no organisation reported here in this roundMikang: no organisation reported here in this roundMinjibir: no organisation reported here in this roundMisau: no organisation reported here in this roundMkpat Enin: no organisation reported here in this roundMoba: no organisation reported here in this roundMobbar (NG008023): 19 organisations in the sectors coveredMokwa: no organisation reported here in this roundMonguno (NG008024): 37 organisations in the sectors covered, 38 in any sectorMopa-Muro: no organisation reported here in this roundMoro: no organisation reported here in this roundMubi North (NG002014): 16 organisations in the sectors covered, 18 in any sectorMubi South (NG002015): 14 organisations in the sectors covered, 16 in any sectorMusawa: no organisation reported here in this roundMuya: no organisation reported here in this roundNafada: no organisation reported here in this roundNangere (NG036012): 8 organisations in the sectors coveredNasarawa: no organisation reported here in this roundNasarawa: no organisation reported here in this roundNasarawa-Eggon: no organisation reported here in this roundNdokwa East: no organisation reported here in this roundNdokwa West: no organisation reported here in this roundNembe: no organisation reported here in this roundNgala (NG008025): 22 organisations in the sectors covered, 23 in any sectorNganzai (NG008026): 9 organisations in the sectors coveredNgaski: no organisation reported here in this roundNgor-Okpala: no organisation reported here in this roundNguru (NG036013): 14 organisations in the sectors coveredNingi: no organisation reported here in this roundNjaba: no organisation reported here in this roundNjikoka: no organisation reported here in this roundNkanu East: no organisation reported here in this roundNkanu West: no organisation reported here in this roundNkwerre: no organisation reported here in this roundNnewi North: no organisation reported here in this roundNnewi South: no organisation reported here in this roundNsit Atai: no organisation reported here in this roundNsit Ibom: no organisation reported here in this roundNsit Ubium: no organisation reported here in this roundNsukka: no organisation reported here in this roundNuman (NG002016): 11 organisations in the sectors covered, 12 in any sectorNwangele: no organisation reported here in this roundObafemi-Owode: no organisation reported here in this roundObanliku: no organisation reported here in this roundObi: no organisation reported here in this roundObi: no organisation reported here in this roundObi Ngwa: no organisation reported here in this roundObia/Akpor: no organisation reported here in this roundObokun: no organisation reported here in this roundObot Akara: no organisation reported here in this roundObowo: no organisation reported here in this roundObubra: no organisation reported here in this roundObudu: no organisation reported here in this roundOdeda: no organisation reported here in this roundOdigbo: no organisation reported here in this roundOdo-Otin: no organisation reported here in this roundOdogbolu: no organisation reported here in this roundOdukpani: no organisation reported here in this roundOffa: no organisation reported here in this roundOfu: no organisation reported here in this roundOgba/Egbema/Ndoni: no organisation reported here in this roundOgbadibo: no organisation reported here in this roundOgbaru: no organisation reported here in this roundOgbia: no organisation reported here in this roundOgbomosho North: no organisation reported here in this roundOgo Oluwa: no organisation reported here in this roundOgoja: no organisation reported here in this roundOgu/Bolo: no organisation reported here in this roundOgun waterside: no organisation reported here in this roundOguta: no organisation reported here in this roundOhafia: no organisation reported here in this roundOhaji/Egbema: no organisation reported here in this roundOhaozara: no organisation reported here in this roundOhaukwu: no organisation reported here in this roundOhimini: no organisation reported here in this roundOji-River: no organisation reported here in this roundOjo: no organisation reported here in this roundOju: no organisation reported here in this roundOke-Ero: no organisation reported here in this roundOkehi: no organisation reported here in this roundOkene: no organisation reported here in this roundOkigwe: no organisation reported here in this roundOkitipupa: no organisation reported here in this roundOkobo: no organisation reported here in this roundOkpe: no organisation reported here in this roundOkpokwu: no organisation reported here in this roundOkrika: no organisation reported here in this roundOla-oluwa: no organisation reported here in this roundOlamabolo: no organisation reported here in this roundOlorunda: no organisation reported here in this roundOlorunsogo: no organisation reported here in this roundOluyole: no organisation reported here in this roundOmala: no organisation reported here in this roundOmumma: no organisation reported here in this roundOna-Ara: no organisation reported here in this roundOndo East: no organisation reported here in this roundOndo West: no organisation reported here in this roundOnicha: no organisation reported here in this roundOnna: no organisation reported here in this roundOpobo/Nkoro: no organisation reported here in this roundOredo: no organisation reported here in this roundOrelope: no organisation reported here in this roundOrhionmwon: no organisation reported here in this roundOri Ire: no organisation reported here in this roundOriade: no organisation reported here in this roundOrlu: no organisation reported here in this roundOrolu: no organisation reported here in this roundOron: no organisation reported here in this roundOrsu: no organisation reported here in this roundOru East: no organisation reported here in this roundOru West: no organisation reported here in this roundOruk Anam: no organisation reported here in this roundOrumba North: no organisation reported here in this roundOrumba South: no organisation reported here in this roundOse: no organisation reported here in this roundOshimili North: no organisation reported here in this roundOshimili South: no organisation reported here in this roundOshodi-Isolo: no organisation reported here in this roundOsisioma Ngwa: no organisation reported here in this roundOsogbo: no organisation reported here in this roundOturkpo: no organisation reported here in this roundOvia North East: no organisation reported here in this roundOvia South West: no organisation reported here in this roundOwan East: no organisation reported here in this roundOwan West: no organisation reported here in this roundOwerri-Municipal: no organisation reported here in this roundOwerri North: no organisation reported here in this roundOwerri West: no organisation reported here in this roundOwo: no organisation reported here in this roundOye: no organisation reported here in this roundOyi: no organisation reported here in this roundOyigbo: no organisation reported here in this roundOyo East: no organisation reported here in this roundOyo West: no organisation reported here in this roundOyun: no organisation reported here in this roundPaikoro: no organisation reported here in this roundPankshin: no organisation reported here in this roundPatani: no organisation reported here in this roundPategi: no organisation reported here in this roundPort-Harcourt: no organisation reported here in this roundPotiskum (NG036014): 13 organisations in the sectors coveredQua'an Pan: no organisation reported here in this roundRabah: no organisation reported here in this roundRafi: no organisation reported here in this roundRano: no organisation reported here in this roundRemo North: no organisation reported here in this roundRijau: no organisation reported here in this roundRimi: no organisation reported here in this roundRimin Gado: no organisation reported here in this roundRingim: no organisation reported here in this roundRiyom: no organisation reported here in this roundRogo: no organisation reported here in this roundRoni: no organisation reported here in this roundSabon-Gari: no organisation reported here in this roundSabon Birni: no organisation reported here in this roundSabuwa: no organisation reported here in this roundSafana: no organisation reported here in this roundSagbama: no organisation reported here in this roundSakaba: no organisation reported here in this roundSaki East: no organisation reported here in this roundSaki West: no organisation reported here in this roundSandamu: no organisation reported here in this roundSanga: no organisation reported here in this roundSapele: no organisation reported here in this roundSardauna: no organisation reported here in this roundShagamu: no organisation reported here in this roundShagari: no organisation reported here in this roundShanga: no organisation reported here in this roundShani (NG008027): 3 organisations in the sectors covered, 4 in any sectorShanono: no organisation reported here in this roundShelleng (NG002017): 3 organisations in the sectors covered, 4 in any sectorShendam: no organisation reported here in this roundShinkafi: no organisation reported here in this roundShira: no organisation reported here in this roundShiroro: no organisation reported here in this roundShomgom: no organisation reported here in this roundSilame: no organisation reported here in this roundSoba: no organisation reported here in this roundSong (NG002018): 5 organisations in the sectors covered, 6 in any sectorSouthern Ijaw: no organisation reported here in this roundSule-Tankarkar: no organisation reported here in this roundSuleja: no organisation reported here in this roundSumaila: no organisation reported here in this roundSuru: no organisation reported here in this roundSurulere: no organisation reported here in this roundTafa: no organisation reported here in this roundTafawa-Balewa: no organisation reported here in this roundTai: no organisation reported here in this roundTakai: no organisation reported here in this roundTakum: no organisation reported here in this roundTalata Mafara: no organisation reported here in this roundTambuwal: no organisation reported here in this roundTangaza: no organisation reported here in this roundTarka: no organisation reported here in this roundTarmua (NG036015): 7 organisations in the sectors coveredTaura: no organisation reported here in this roundTofa: no organisation reported here in this roundToro: no organisation reported here in this roundToto: no organisation reported here in this roundToungo (NG002019): 1 organisation in the sectors coveredTsafe: no organisation reported here in this roundTsanyawa: no organisation reported here in this roundTudun Wada: no organisation reported here in this roundTureta: no organisation reported here in this roundUdenu: no organisation reported here in this roundUdi: no organisation reported here in this roundUdu: no organisation reported here in this roundUghelli North: no organisation reported here in this roundUghelli South: no organisation reported here in this roundUgwunagbo: no organisation reported here in this roundUhunmwonde: no organisation reported here in this roundUkanafun: no organisation reported here in this roundUkum: no organisation reported here in this roundUkwa East: no organisation reported here in this roundUkwa West: no organisation reported here in this roundUkwuani: no organisation reported here in this roundUmu-Nneochi: no organisation reported here in this roundUmuahia North: no organisation reported here in this roundUmuahia South: no organisation reported here in this roundUngogo: no organisation reported here in this roundUnuimo: no organisation reported here in this roundUruan: no organisation reported here in this roundUrue-Offong/Oruko: no organisation reported here in this roundUshongo: no organisation reported here in this roundUssa: no organisation reported here in this roundUvwie: no organisation reported here in this roundUyo: no organisation reported here in this roundUzo-Uwani: no organisation reported here in this roundVandeikya: no organisation reported here in this roundWamako: no organisation reported here in this roundWamba: no organisation reported here in this roundWarawa: no organisation reported here in this roundWarji: no organisation reported here in this roundWarri North: no organisation reported here in this roundWarri South: no organisation reported here in this roundWarri South West: no organisation reported here in this roundWasagu/Danko: no organisation reported here in this roundWase: no organisation reported here in this roundWudil: no organisation reported here in this roundWukari: no organisation reported here in this roundWurno: no organisation reported here in this roundWushishi: no organisation reported here in this roundYabo: no organisation reported here in this roundYagba East: no organisation reported here in this roundYagba West: no organisation reported here in this roundYakurr: no organisation reported here in this roundYala: no organisation reported here in this roundYamaltu/Deba: no organisation reported here in this roundYankwashi: no organisation reported here in this roundYauri: no organisation reported here in this roundYenegoa: no organisation reported here in this roundYola North (NG002020): 11 organisations in the sectors covered, 13 in any sectorYola South (NG002021): 16 organisations in the sectors covered, 18 in any sectorYorro: no organisation reported here in this roundYunusari (NG036016): 7 organisations in the sectors coveredYusufari (NG036017): 9 organisations in the sectors coveredZaki: no organisation reported here in this roundZango: no organisation reported here in this roundZango-Kataf: no organisation reported here in this roundZaria: no organisation reported here in this roundZing: no organisation reported here in this roundZurmi: no organisation reported here in this roundZuru: no organisation reported here in this roundNigeria
  • 1–24districts
  • 3–513districts
  • 6–1016districts
  • 11–2016districts
  • 21+12districts
  • No reports679districts: not covered by this round, or not matched; not the same as nobody there
Number of organisations reporting operational presence in each district, in the sectors covered, from OCHA's 3W reports for the latest round E49. Self-reported presence: it shows where organisations say they work, not their scale, funding or quality. Tap or hover a district for its counts. Boundaries: Nigeria - Subnational Administrative Boundaries (CC BY-IGO, 61 of 61 3W districts matched by code and name).
Humanitarian crisis severity: INFORM Severity - October 2026 · ACAPS INFORM Severity Index (via HDX)

About this source: ACAPS's rating of how severe each ongoing humanitarian crisis is, based on its analysts' review of many sources. It is used to compare crises and to see whether one is getting worse.

Trace this: ACAPS INFORM Severity Index, monthly files on HDX ↗

CountryCrisisDriversSeverity (1-10)CategoryTrend (last 3 months)Complexity (1-10)Data reliability
NigeriaMultiple Crises in NigeriaConflict/ Violence, International Displacement8.5Very HighStable8.4Very High
NigeriaConflict in the BAY statesConflict/ Violence8.6Very HighStable8.4High
NigeriaConflict in North West NigeriaConflict/ Violence7.9HighIncreasing7.1High
NigeriaConflict in North Central NigeriaConflict/ Violence7.4HighIncreasing7.1High
NigeriaInternational displacement from Cameroon to NigeriaInternational Displacement4.6MediumIncreasing6.3High

ACAPS INFORM Severity Index, monthly edition published on the Humanitarian Data Exchange; retrieved 2026-11-08. It rates the severity of ongoing crises (impact, conditions of people affected, complexity); a country's first row is ACAPS's country-level rating where it gives one, then its separate crises; countries without an active crisis are not listed.

Humanitarian access constraints: ACAPS, Nov 2026 · ACAPS Humanitarian Access

About this source: ACAPS's rating of how hard it is for humanitarian organisations to reach people in a crisis, because of insecurity, bureaucratic restrictions or physical obstacles.

Trace this: ACAPS Humanitarian Access dataset ↗

CountryCrisisAccess constraints (0-5)LevelPeople's access to aidAid actors' access to peopleSecurity and physical constraintsStrongest constraints
NigeriaMultiple Crises in Nigeria4Very high535obstructed access to services and aid; restricted movement within the country; ongoing insecurity or hostilities; physical constraints (terrain, climate, infrastructure)
NigeriaConflict in the BAY states4Very high535obstructed access to services and aid; restricted movement within the country; ongoing insecurity or hostilities; physical constraints (terrain, climate, infrastructure)
NigeriaConflict in North West Nigeria3High224obstructed access to services and aid; impediments to entering the country; restricted movement within the country; ongoing insecurity or hostilities; physical constraints (terrain, climate, infrastructure)
NigeriaInternational displacement from Cameroon to Nigeria3High234restricted movement within the country; ongoing insecurity or hostilities

ACAPS Humanitarian Access dataset, Nov 2026 edition (API); retrieved 2026-11-08. Scores 0 (no constraints) to 5 (extreme), from three pillars and nine indicators; countries without a tracked crisis are not listed. Nigeria: the most constrained crisis is Multiple Crises in Nigeria (4 of 5, Very high).

Who works where: organisations reporting operational presence (OCHA 3W) · HDX Humanitarian API (OCHA 3W operational presence)

About this source: 'Who does What Where': OCHA's lists of the organisations that report activities in each area and sector. Useful for finding partners on the ground; it shows only what organisations report.

Trace this: Nigeria: Operational Presence (who-is-doing-what-and-where_nga_3w_apr_jun_2026.xlsx, OCHA Nigeria) ↗

CountryOrganisationTypeSectorsReported geographyRegions (up to 3)Ranking reach in selected sectors
NigeriaWorld Health OrganizationUnited NationsHealth23 admin2 area(s)Adamawa, Borno, Yobe23 coded admin2 areas
NigeriaAdamawa State Primary Health Care Management BoardGovernmentNutrition22 admin2 area(s)Adamawa, Yobe22 coded admin2 areas
NigeriaBorno State Primary Health Care Development AgencyGovernmentNutrition22 admin2 area(s)Borno22 coded admin2 areas
NigeriaFood and Agriculture OrganizationUnited NationsFood security21 admin2 area(s)Adamawa, Borno, Yobe21 coded admin2 areas
NigeriaSave the Children InternationalInternational NGOEducation, Nutrition, Protection, Water, sanitation, hygiene21 admin2 area(s)Adamawa, Borno, Yobe21 coded admin2 areas
NigeriaUnited Nations Children's FundUnited NationsEducation, Nutrition, Water, sanitation, hygiene20 admin2 area(s)Borno, Yobe20 coded admin2 areas

OCHA 3W operational presence via the HDX Humanitarian API, latest period: Nigeria Apr–Jun 2026; retrieved 2026-11-08. Organisations in the sectors covered are listed first; most reported coded areas in selected sectors first, ties alphabetical; reach, not capacity (not a capacity ranking). Nigeria: ranking counts distinct coded admin2 areas. Nigeria: 171 organisations reported for Apr–Jun 2026, 171 of them in the sectors covered. Presence is self-reported to the humanitarian clusters; it shows where an organisation reports working, not its funding, scale or quality. Admin levels are counted separately and can overlap; they must not be added together. Displayed geography includes all reported sectors; where geographic codes are absent, displayed counts use names qualified by their parent area. Ranking uses codes only, at the finest available level in selected sectors for that country. Only sectors with a supported DAC-to-cluster mapping contribute to sector reach. Missing comparable coded reach is not zero presence or capacity.

People in need of humanitarian assistance (OCHA Humanitarian Needs Overview) · HDX Humanitarian API (OCHA needs overviews; IPC / Cadre Harmonisé)

About this source: The yearly humanitarian needs overviews agreed by UN agencies and partners in each crisis, with the official number of people in need. They are the basis of humanitarian appeals.

Trace this: Global Humanitarian Programme Cycle, Humanitarian Needs (Global HPC HNO 2025, OCHA Humanitarian Programme Cycle Tools (HPC Tools)) ↗ · Global Humanitarian Programme Cycle, Humanitarian Needs (Global HPC HNO 2024, OCHA Humanitarian Programme Cycle Tools (HPC Tools)) ↗ · Global Humanitarian Programme Cycle, Humanitarian Needs (Global HPC HNO 2026, OCHA Humanitarian Programme Cycle Tools (HPC Tools)) ↗

CountrySectorPeople in needPeople targetedPlan period
NigeriaAll sectors (intersectoral)5,900,0002,500,0002026
NigeriaEducation1,648,802633,6432026
NigeriaEarly recovery1,755,723485,2632025
NigeriaFood security5,848,1231,492,5952026
NigeriaHealth3,957,6891,488,0542026
NigeriaNutrition4,114,2461,533,9412026
NigeriaProtection3,328,7451,472,7152026
NigeriaChild protection1,969,5491,044,5262025
NigeriaGender-based violence1,829,2781,099,9362025
NigeriaHousing, land and property896,658368,3862025
NigeriaMine action1,820,281547,3032025
NigeriaShelter and NFI3,458,621635,2942026
NigeriaWater, sanitation, hygiene4,383,7521,559,4622026

OCHA Humanitarian Programme Cycle (Humanitarian Needs Overview), national figures via the HDX Humanitarian API, latest plan period per country and sector; retrieved 2026-11-08. The intersectoral figure counts each person once across all sectors; sector figures overlap and must not be added together, or to the intersectoral figure. Targeted is the part of the need the response plan aims to reach. Figures are planning estimates. Each row is its sector's latest overview, so the plan period can differ between rows.

Acute food insecurity: people in Phase 3 (Crisis) or worse (IPC / Cadre Harmonisé) · HDX Humanitarian API (OCHA needs overviews; IPC / Cadre Harmonisé)Newest: Oct–Dec 2025

Older than usual. Newest available: Oct–Dec 2025, about 11 months old. Acute food insecurity (IPC / Cadre Harmonisé) usually covers an analysis period that ended within about nine months; the publisher has released nothing newer yet. FEWS NET's current estimate for Oct 2026 is in the same card: a different method, not on the same scale.

About this source: The IPC, and the Cadre Harmonisé in West Africa and the Sahel, are the standard, consensus-based classifications of food insecurity used by governments, the UN and NGOs. Phase 3 means crisis; Phase 5 means catastrophe or famine.

Trace this: Global: Acute Food Insecurity Country Data (ipc_global_national_wide.csv, Integrated Food Security Phase Classification (IPC)) ↗ · FEWS NET, Nigeria ↗

CountryAnalysisStatusPeriodPeople in Phase 3+Share of analysed populationPeople in Phase 5 (Catastrophe)Population analysed
NigeriaCadre HarmoniséCurrentOct–Dec 202527,212,93312%0217,933,704
NigeriaCadre HarmoniséPast projection (first)Jun–Aug 202636,927,54317%18,558219,354,878
NigeriaFEWS NET outlook Oct 2026FEWS NET estimate, currentOct 202617.0–18.0 millionNot reportedNot reportedNot reported
NigeriaFEWS NET outlook Oct 2026FEWS NET estimate, projectionApr 202716.0–17.0 millionNot reportedNot reportedNot reported

Integrated Food Security Phase Classification (IPC) global country data, including Cadre Harmonisé results for West Africa and the Sahel, national figures via the HDX Humanitarian API; latest current analysis per country and its projections; retrieved 2026-11-08. Phase 3+ counts people in Crisis, Emergency or Catastrophe. Shares are of the population analysed, which may be smaller than the national population. Projections are estimates made at the time of the analysis, not observations; a past projection covers a period that has ended without a newer published analysis. Where no IPC or Cadre Harmonisé period covers today, FEWS NET's monthly estimate is added: people in Phase 3+ as a range, from FEWS NET's own analysis (a different method, so not comparable with the shares above).

Staple food prices in local markets (WFP) · WFP market monitoring via the HDX Humanitarian API

About this source: Prices of staple foods that WFP and partners collect in local markets. Rising prices are an early warning of hunger and reduce what cash assistance buys.

Trace this: Global - Food Prices (Global WFP food prices 2026, WFP - World Food Programme) ↗ · Global - Food Prices (Global WFP food prices 2025, WFP - World Food Programme) ↗

CountryCommodity (unit)Latest monthMedian retail priceMarketsChange from a year earlier (same markets)Markets compared
NigeriaCowpeas (2.5 KG)Oct 20262,200 NGN5+5%3
NigeriaGroundnuts (2.2 KG)Oct 20264,000 NGN5-4%4
NigeriaOil (palm) (L)Oct 20263,000 NGN5-3%4
NigeriaSorghum (2.7 KG)Oct 20261,000 NGN5+24%4

WFP market monitoring via the HDX Humanitarian API; retail prices of cereals, pulses and oils; four staples per country reported by the most markets; median across markets; retrieved 2026-11-08. Nominal prices in local currency: a change includes general inflation and currency depreciation, not only food scarcity, and prices cannot be compared across countries. The year-on-year change uses only markets reporting in both months. Markets are those WFP monitors, not a national average.

Displacement: people hosted at the end of 2025 (UNHCR year-end count, not a current figure) · UNHCR Refugee Population Statistics

About this source: UNHCR's official statistics on refugees and other forcibly displaced people, compiled from governments and its own operations; the global reference for refugee numbers.

Trace this: UNHCR population API: hosted in NGA, 2025 ↗ · UNHCR Refugee Data Finder ↗

CountryEnd of yearRefugees hostedAsylum seekersInternally displaced
Nigeria2025123,84818,1923,544,519

UNHCR Refugee Population Statistics API, end-year figures by country of asylum; retrieved 2026-11-08. Internally displaced counts cover people UNHCR protects or assists and may be zero where it does not report them.

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Development needs

3 cards; open a card for its table and sources.

Education: out of school, completion and learning (UNESCO UIS) · UNESCO Institute for Statistics

About this source: UNESCO's statistics institute is the official keeper of the global education goal's figures: who is out of school, who finishes primary and lower secondary school, and how many children can read and do basic maths by the end of primary. The World Bank's education figures are copied from it, usually later.

Trace this: UIS data browser ↗ · UIS country page: Nigeria ↗

CountryMeasureValueYearTrend
NigeriaOut-of-school children, primary age (number)9,070,7022023
NigeriaOut-of-school rate, primary age (%)24.3%2023
NigeriaOut-of-school rate, primary age, girls (%)25.5%2023
NigeriaOut-of-school rate, primary age, boys (%)23.2%2023
NigeriaCompletion rate, primary (%)77.4%2024Trend 2016–2024: 73.7 to 77.4 (4 years reported)
NigeriaCompletion rate, lower secondary (%)74.1%2024Trend 2016–2024: 67.4 to 74.1 (4 years reported)
NigeriaMinimum proficiency in reading, end of primary (%)20.0%2023
NigeriaMinimum proficiency in mathematics, end of primary (%)11.4%2023
NigeriaGovernment spending on education (% of GDP)0.3%2023Trend 2015–2023: 0.437 to 0.319 (9 years reported)
NigeriaEducation's share of government spending (%)3.0%2024Trend 2015–2024: 9.3 to 3.0 (10 years reported)

UNESCO Institute for Statistics, February 2026 Data Release; latest year per measure within the last ten; retrieved 2026-11-08. Out-of-school rates count children of official school age who are not enrolled; completion rates count young people a few years above the final grade's age who finished that level; proficiency shares come from regional and international learning assessments (such as PASEC or PIRLS) taken in the year shown, so they are older and not comparable across assessment types. Years differ by measure: check the year before comparing.

Human development, poverty and displacement (UNDP, IOM) · UNDP Human Development Report Office and IOM Displacement Tracking Matrix

About this source: UNDP's Human Development Index combines health, education and income into one measure and is the best-known summary of human development; IOM's Displacement Tracking Matrix counts people displaced within their own country in crises.

Trace this: UNDP Human Development Report: data center ↗ · UNDP country data and charts: Nigeria ↗ · UNDP and OPHI global Multidimensional Poverty Index: downloads ↗

CountryMeasureValueYearTrend
NigeriaHuman Development Index (0-1)0.5602023Trend 2013–2023: 0.517 to 0.56 (11 years reported)
NigeriaHDI rank1642023
NigeriaInequality-adjusted HDI (0-1)0.3792023
NigeriaHuman development lost to inequality (%)32.3%2023
NigeriaGender Inequality Index (0-1, higher is more unequal)0.6772023
NigeriaPeople in multidimensional poverty (%)48.7%2024 (DHS)

UNDP Human Development Report, composite indices time series; UNDP and OPHI global Multidimensional Poverty Index; latest year per measure; retrieved 2026-11-08. The HDI combines life expectancy, schooling and income per person; the inequality-adjusted HDI discounts it for how unequally these are shared. Multidimensional poverty counts people deprived in several of health, education and living standards at once, from the household survey named in the year column. Displacement counts are IOM's latest national round and are shown only where IOM reports one; check the year before comparing. Nigeria HDI: 0.517 in 2013 → 0.560 in 2023 (+8%); peak 0.560 in 2023.

Country indicators — Nigeria · World Bank World Development Indicators

About this source: The World Bank's main collection of development statistics on poverty, health, education and the economy, compiled from national and international sources. It is the common reference for country indicators; the latest years are often missing.

Trace this: Population (SP.POP.TOTL) ↗ · GDP per capita (current US$) (NY.GDP.PCAP.CD) ↗ · Poverty headcount at $3.00/day (% of population) (SI.POV.DDAY) ↗

IndicatorValueYearTrend
Population237,527,7822025Trend 2016–2025: 195.4 m to 237.5 m (10 years reported)
GDP per capita (current US$)1,2242025Trend 2016–2025: 2,070 to 1,224 (10 years reported)
Poverty headcount at $3.00/day (% of population)41.82022Trend 2018–2022: 34.2 to 41.8 (2 years reported)

World Bank World Development Indicators, most recent value; retrieved 2026-11-08. Most recent non-empty year differs by indicator. Trend lines cover the reported years of the last ten.

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Economy and investment

2 cards; open a card for its table and sources.

Economic outlook (IMF World Economic Outlook and Fiscal Monitor) · IMF World Economic Outlook

About this source: The IMF's twice-yearly economic figures and forecasts for its member countries, the standard reference for growth, inflation and public debt; revenue comes from its Fiscal Monitor. Forecasts are revised as conditions change.

Trace this: IMF WEO DataMapper: real GDP growth ↗ · IMF WEO DataMapper: inflation ↗ · IMF WEO DataMapper: government debt ↗

CountryMeasure20252026 (projection)2027 (projection)
NigeriaReal GDP growth (%)4.04.24.3
NigeriaInflation, average consumer prices (%)23.015.614.7
NigeriaGovernment gross debt (% of GDP)36.134.632.8
NigeriaGovernment revenue including grants (% of GDP)10.211.510.5

IMF World Economic Outlook (October 2026) (growth, inflation, debt) and Fiscal Monitor (October 2026) (revenue) via the DataMapper API; retrieved 2026-11-08. 2026 and 2027 are IMF projections and are revised twice a year.

External debt and public debt service (World Bank International Debt Statistics) · World Bank International Debt Statistics

About this source: The World Bank's official statistics on low- and middle-income countries' external debt and debt payments, reported by the borrowing countries.

Trace this: World Bank International Debt Statistics ↗ · World Bank data: External debt stocks (USD m) ↗ · World Bank data: External debt stocks (% of GNI) ↗ · World Bank data: Public and publicly guaranteed debt service (USD m) ↗

CountryMeasureTrend20202021202220232024
NigeriaExternal debt stocks (USD m)Trend 2020–2024: 87,591 to 108,758 (5 years reported)87,591.296,254.7103,064.2102,472.8108,757.6
NigeriaExternal debt stocks (% of GNI)Trend 2020–2024: 20.5 to 60.0 (5 years reported)20.522.322.229.060.0
NigeriaPublic and publicly guaranteed debt service (USD m)Trend 2020–2024: 1,566 to 3,860 (5 years reported)1,565.82,645.72,912.63,567.43,859.9

World Bank International Debt Statistics via the World Bank API (DT.DOD.DECT.CD, DT.DOD.DECT.GN.ZS, DT.TDS.DPPG.CD), current USD; retrieved 2026-11-08. Debt stocks are all external debt outstanding at year end (public, publicly guaranteed and private non-guaranteed, including IMF credit). Debt service is principal and interest actually paid on public and publicly guaranteed external debt in the year. The World Bank publishes the statistics once a year, in December.

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Governance

1 card; open a card for its table and sources.

Governance and investment climate · World Bank Worldwide Governance Indicators

About this source: The World Bank's composite measures of governance, built from surveys and expert assessments. They are widely used to compare countries, but they measure perceptions and come with margins of error.

Trace this: Worldwide Governance Indicators in the World Bank DataBank ↗ · WDI FDI net inflows (% of GDP) (BX.KLT.DINV.WD.GD.ZS) ↗

CountryMeasureScoreYearScore 2019
NigeriaControl of corruption27202525
NigeriaPolitical stability and absence of violence35202531
NigeriaRegulatory quality44202540
NigeriaGovernment effectiveness34202535
NigeriaRule of law43202545
NigeriaVoice and accountability46202548
NigeriaFDI net inflows (% of GDP)1.42025

World Bank Worldwide Governance Indicators (absolute scores 0-100, higher is better; perception-based composites with wide margins of error) and World Development Indicators for FDI; retrieved 2026-11-08. WGI uses an absolute 0-100 scale anchored to fixed reference points, not percentile ranks. Perception-based estimates have uncertainty; small differences should not be overinterpreted.

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Risk and environment

3 cards; open a card for its table and sources.

Rainfall against the usual, by region

Period · Three months to 20 Oct 2026

Adamawa (NG002): 86% of average, 547 mm against 637 mm over three monthsAkwa Ibom (NG003): 114% of average, 1262 mm against 1110 mm over three monthsAnambra (NG004): 98% of average, 832 mm against 850 mm over three monthsBenue (NG007): 106% of average, 794 mm against 752 mm over three monthsBorno (NG008): 100% of average, 424 mm against 424 mm over three monthsCross River (NG009): 115% of average, 1294 mm against 1123 mm over three monthsDelta (NG010): 103% of average, 1023 mm against 992 mm over three monthsEdo (NG012): 101% of average, 783 mm against 778 mm over three monthsFederal Capital Territory (NG015): 100% of average, 681 mm against 678 mm over three monthsImo (NG017): 100% of average, 1029 mm against 1024 mm over three monthsJigawa (NG018): 99% of average, 395 mm against 398 mm over three monthsKaduna (NG019): 101% of average, 749 mm against 741 mm over three monthsKano (NG020): 103% of average, 559 mm against 541 mm over three monthsKatsina (NG021): 93% of average, 426 mm against 460 mm over three monthsKebbi (NG022): 88% of average, 464 mm against 530 mm over three monthsKogi (NG023): 95% of average, 616 mm against 649 mm over three monthsKwara (NG024): 110% of average, 627 mm against 571 mm over three monthsLagos (NG025): 87% of average, 440 mm against 507 mm over three monthsNiger (NG027): 102% of average, 654 mm against 638 mm over three monthsOgun (NG028): 89% of average, 445 mm against 504 mm over three monthsOsun (NG030): 109% of average, 664 mm against 609 mm over three monthsOyo (NG031): 105% of average, 528 mm against 504 mm over three monthsTaraba (NG035): 99% of average, 843 mm against 848 mm over three monthsYobe (NG036): 105% of average, 376 mm against 356 mm over three monthsAbia (NG001): 102% of average, 996 mm against 976 mm over three monthsBauchi (NG005): 97% of average, 542 mm against 559 mm over three monthsBayelsa (NG006): 97% of average, 1119 mm against 1150 mm over three monthsEbonyi (NG011): 97% of average, 874 mm against 898 mm over three monthsEkiti (NG013): 104% of average, 668 mm against 644 mm over three monthsEnugu (NG014): 89% of average, 720 mm against 810 mm over three monthsGombe (NG016): 87% of average, 472 mm against 542 mm over three monthsNasarawa (NG026): 97% of average, 681 mm against 702 mm over three monthsOndo (NG029): 105% of average, 758 mm against 720 mm over three monthsPlateau (NG032): 92% of average, 574 mm against 623 mm over three monthsRivers (NG033): 98% of average, 1062 mm against 1088 mm over three monthsSokoto (NG034): 87% of average, 337 mm against 388 mm over three monthsZamfara (NG037): 95% of average, 497 mm against 522 mm over three monthsNigeria
  • Under 60%0regions
  • 60–85%0regions
  • 85–115%36regions
  • 115–140%1region
  • Over 140%0regions
Rainfall over the three months to 20 Oct 2026 as a share of the 1989–2018 average for the same months, from WFP's regional figures E56. Brown is drier than usual, blue wetter. Tap or hover a region for its figures. Only regions whose name and boundary were confirmed against WFP's data are drawn. Boundaries: OCHA common operational boundaries (COD-AB), current and earlier editions (CC BY-IGO; 37 of 37 regions drawn).
Crisis risk: INFORM Risk Index Mid 2026 · INFORM Risk Index (EU Joint Research Centre)

About this source: An index from the European Commission's Joint Research Centre and partners that rates how likely a humanitarian crisis or disaster is to overwhelm a country's capacity to cope. Humanitarian donors and agencies use it to compare countries; it measures structural risk, not current needs.

Trace this: INFORM Risk results and data (EU JRC) ↗

CountryINFORM Risk Mid 2026 (0-10)ClassRank (1 = highest risk)Hazard & exposureVulnerabilityLack of coping capacity
Nigeria7.2Very high14 of 1918.16.57.1

INFORM Risk Index Mid 2026, EU Joint Research Centre with IASC partners; retrieved 2026-11-08. Scores 0-10, higher means a higher risk that a humanitarian crisis overwhelms national capacity. Nigeria: the highest of the three dimensions is Hazard & exposure (8.1); read the score through that dimension. Nigeria: INFORM Risk 6.5 in 2022 → 7.2 in Mid 2026 (Very high → Very high); the method changed slightly between editions, so read this as direction, not a precise trend.

Rainfall against the long-term average, by region, to 20 Oct 2026 (CHIRPS via WFP) · CHIRPS rainfall (Climate Hazards Center, aggregated by WFP) via the HDX Humanitarian API

About this source: Satellite rainfall estimates combined with weather-station data, produced by the Climate Hazards Center at UC Santa Barbara and widely used in food-security early warning; WFP averages them by region.

Trace this: Nigeria: Rainfall Indicators at Subnational Level (nga-rainfall-subnat-5ytd.csv, WFP - World Food Programme) ↗

CountryRegionRegion code (P-code)Rainfall, 3 months (mm)Average, 3 months (mm)3 months, % of averageLast month, % of average
NigeriaAdamawaNG00254763786%83%
NigeriaLagosNG02544050787%70%
NigeriaSokotoNG03433738887%177%
NigeriaGombeNG01647254287%81%
NigeriaKebbiNG02246453088%128%
NigeriaOgunNG02844550489%81%
NigeriaEnuguNG01472081089%114%
NigeriaPlateauNG03257462392%88%
NigeriaKatsinaNG02142646093%136%
NigeriaKogiNG02361664995%110%
NigeriaZamfaraNG03749752295%142%
NigeriaBauchiNG00554255997%105%
NigeriaNasarawaNG02668170297%95%
NigeriaEbonyiNG01187489897%109%
NigeriaBayelsaNG0061119115097%93%
NigeriaRiversNG0331062108898%93%
NigeriaAnambraNG00483285098%119%
NigeriaJigawaNG01839539899%141%
NigeriaTarabaNG03584384899%88%
NigeriaBornoNG008424424100%128%
NigeriaFederal Capital TerritoryNG015681678100%103%
NigeriaImoNG01710291024100%119%
NigeriaEdoNG012783778101%119%
NigeriaKadunaNG019749741101%101%
NigeriaAbiaNG001996976102%110%
NigeriaNigerNG027654638102%112%
NigeriaDeltaNG0101023992103%109%
NigeriaKanoNG020559541103%167%
NigeriaEkitiNG013668644104%126%
NigeriaOyoNG031528504105%116%
NigeriaOndoNG029758720105%110%
NigeriaYobeNG036376356105%121%
NigeriaBenueNG007794752106%103%
NigeriaOsunNG030664609109%120%
NigeriaKwaraNG024627571110%134%
NigeriaAkwa IbomNG00312621110114%103%
NigeriaCross RiverNG00912941123115%110%

CHIRPS satellite rainfall estimates with station data, averaged per region by WFP, via the HDX Humanitarian API; rolling periods ending 20 Oct 2026; retrieved 2026-11-08. Percentages compare with the 1989-2018 average for the same period. Recent periods use preliminary estimates that are replaced by final data about a month later. 'Dry period' marks regions whose average for the period is under 30 mm, where a percentage says little. Rainfall is one input to harvests and water supply, not a drought declaration. Driest regions first. Region names are matched to WFP's region codes from OCHA's common operational boundaries (current and earlier editions), checked against the size of each region in WFP's data.

Recent disaster alerts (GDACS, 2025-11-08 to 2026-11-08) · GDACS (UN OCHA and EU Joint Research Centre)

About this source: A UN and European Commission alert system that estimates within hours how serious an earthquake, cyclone, flood or drought may be for people. Alerts are model estimates to guide international response, not damage assessments.

Trace this: GDACS alert archive ↗

CountryHazardAlertsHighest alert levelDate of highest alertLatest alert (any level)
NigeriaWildfire93Green2026-11-052026-11-05
NigeriaFlood5Green2026-09-212026-09-21
NigeriaDrought2Orange2026-05-212026-06-21

Global Disaster Alert and Coordination System (UN OCHA and EU Joint Research Centre), automatic near-real-time alerts; retrieved 2026-11-08. Colours estimate the need for international humanitarian assistance: Green = unlikely (local impact can still be significant), Orange = possible, Red = likely; one disaster can raise several alerts. Country attribution uses affected-country ISO3; window applies to event start date, not last update. Counts are returned records, not unique disasters; regional records may appear for multiple countries. Map shows only valid coordinates in the displayed frame. Nigeria: API page limit reached; counts are a returned subset, not exhaustive. Nigeria orange/red alerts: Drought in Democratic Republic of Congo, Central African Republic, Cameroon, Eritrea, Ethiopia, Kenya, Niger, Nigeria, Sudan, South Sudan, Chad, Tanzania, Uganda (Orange, 2026-05-21).

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Norway in Nigeria

Norway's own aid data (agreements and disbursements) and the OECD's figures for all donors. The full tables follow below.

136.5m NOKNorwegian aid to Nigeria in 2025 net, after NOK 5.6m returned (2024: NOK 225.3m)

Source: Norwegian development assistance data · E1Retrieved 2026-09-23

15thlargest official donor, 2019–2024 combined (1% of all official aid)

Source: OECD Creditor Reporting System · E28Retrieved 2026-10-17

2025: NOK 136m from Norway's own agreementsNOK millions a year, net of money returned; the estimate converted from USD at Norges Bank's annual average rate; the OECD's estimate is not on this page
2021: NOK 147.3m own disbursements, no estimate yet14720212022: NOK 205.8m own disbursements, no estimate yet20620222023: NOK 294.7m own disbursements, no estimate yet29520232024: NOK 225.3m own disbursements, no estimate yet22520242025: NOK 136.5m own disbursements, no estimate yet1362025
Norway's own agreements (incl. funds earmarked through multilaterals)Estimated share of Norway's core funding to multilaterals (OECD)

Source: Norwegian development assistance data; OECD imputed multilateral aid; Norges Bank · E1Retrieved 2026-09-23Dataset scope: Nigeria; all sectors; 2021–2025

Norad's themes: Emergency assistance leadsNorwegian disbursements by Norad's theme (target area), 2021–2025 combined, NOK millions
Emergency assistance496.1m
Production sectors and trade144.4m
Governance, civil society and conflict prevention114.4m
Education104.4m
Health and social services90.3m

Source: Norwegian development assistance data · E4Retrieved 2026-09-23Dataset scope: Nigeria; all sectors; 2021–2025

Main sectors: Material relief assistance and services leadsNorwegian disbursements by sub-sector, 2021–2025 combined, NOK millions
Material relief assistance and services255.4m
Agricultural development144.4m
Education policy and administrative management104.0m
Relief co-ordination and support services93.0m
Civilian peace-building, conflict prevention and resolution76.5m

Source: Norwegian development assistance data · E5Retrieved 2026-09-23Dataset scope: Nigeria; all sectors; 2021–2025

Main partners: FAO - Food and Agricultural Organization of the United Nations received the mostDisbursements by agreement partner, 2021–2025 combined, NOK millions; partner type and years in the card
FAO - Food and Agricultural Organization of the United Nations144.4m
UNICEF - United Nations Children's Fund138.1m
Norwegian Refugee Council115.3m
Kirkens Nødhjelp98.3m
UNOCHA - UN Office of Co-ordination of Humanitarian Affairs93.0m

Source: Norwegian development assistance data · E2Retrieved 2026-09-23Dataset scope: Nigeria; all sectors; 2021–2025

Channels: Multilateral organisations (earmarked) received 55%Share of Norwegian disbursements by type of partner, 2021–2025 combined
Multilateral organisations (earmarked)55%
Norwegian NGOs39%
International NGOs4%
Local NGOs1%
Norwegian public sector0%

Source: Norwegian development assistance data · E3Retrieved 2026-09-23Dataset scope: Nigeria; all sectors; 2021–2025

2025: the 5 largest of 26 agreements received 51% of the moneyShare of 2025's Norwegian disbursements by agreement size (agreements · share); size is what each was paid in 2025
NOK 20m to 50m1 · 14%
NOK 5m to 20m11 · 70%
NOK 1m to 5m10 · 15%
Under NOK 1m4 · 1%

Source: Norwegian development assistance data · E8Retrieved 2026-09-23Dataset scope: Nigeria; all sectors; 2025

Largest agreements in 2025: who gets themNOK millions paid in 2025
  1. 20.0mNigeria AppealNorges Røde Kors · Norwegian NGO
  2. 15.2mNigeria - NRC Strategic Partnership AgreementNorwegian Refugee Council · Norwegian NGO
  3. 15.0mScaling-up improved food security, nutrition, and sustainable livelihoods in Borno, Adamawa, Yobe and Taraba StatesFAO - Food and Agricultural Organization of the United Nations · Multilateral organisation
  4. 12.0mNorth West Climate-Peace Hubs: A Climate Security Approach to Conflict PreventionUNDP - UN Development Programme · Multilateral organisation
  5. 9.8mIDH landscapes program in NigeriaIDH - The Sustainable Trade Initiative · International NGO

Source: Norwegian development assistance data · E9Retrieved 2026-09-23Dataset scope: Nigeria; all sectors; 2025

Policy markers, share of disbursements tagged as a principal or significant objective, 2021–2025: Gender equality 82% · Climate adaptation 26% · Climate mitigation 3% · Biodiversity 3% · Disability inclusion 14%. One agreement can carry several markers, so the shares overlap and do not add up; agreements not screened count as not tagged, so each share is a lower bound. E7

Norwegian disbursements by year · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Trend 2021–2025: 174.7 m to 136.5 m (5 years reported)In 2025 kroner: 174.7 m in 2021 → 136.5 m in 2025
YearDisbursed (NOK)In 2025 kronerAgreementsShare of all Norwegian aid to these recipientsReturned to Norway (NOK)
2021147.3 m174.7 m20100.0%5.7 m
2022205.8 m230.8 m21100.0%0 k
2023294.7 m313.1 m22100.0%0 k
2024225.3 m232.2 m19100.0%0 k
2025136.5 m136.5 m28100.0%5.6 m
Total1,009.6 m1,087.3 m11.3 m

Nigeria; all sectors; 2021–2025. Trend: 147.3 m in 2021 → 136.5 m in 2025 (-7%); peak 294.7 m in 2023. Amounts are net: money agreements returned to Norway is subtracted in the year it came back, so they are lower than the OECD's gross disbursements for the same years. In 2025 kroner, adjusted for inflation with Statistics Norway's consumer price index (annual average, table 08981; retrieved 2026-11-08): 174.7 m in 2021 → 136.5 m in 2025 (-22%); peak 313.1 m in 2023.

Channels: who receives the funds · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

Trace this: Norad's aid results portal (bistandsresultater.no) ↗

Partner typeAssistance typeDisbursed (NOK)Share (rounded; listed groups only)Agreements
Multilateral institutionsEarmarked to multilaterals553.2 m55%22
NGO NorwegianBilateral391.7 m39%19
NGO InternationalBilateral42.7 m4%4
NGO LocalBilateral8.9 m1%5
Norwegian public sectorTriangular co-operation4.3 m0%1
Norwegian public sectorBilateral3.6 m0%1
NGO Other donor countriesBilateral1.9 m0%1
Norwegian private sectorBilateral1.8 m0%1
Private sector in developing countriesBilateral1.6 m0%1

Nigeria; all sectors; 2021–2025. Shares use the listed channel groups, not necessarily the entire portfolio. Rounded 100% is not exactly all and rounded 0% is not none; retain nonzero amounts.

Norad's themes (target areas) · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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ThemeDisbursed (NOK)ShareAgreements
Emergency assistance496.1 m49%25
Production sectors and trade144.4 m14%3
Governance, civil society and conflict prevention114.4 m11%11
Education104.4 m10%5
Health and social services90.3 m9%4
Environment and energy32.1 m3%3
Multisector and other26.1 m3%3
Economic infrastructure and services1.8 m0%1

Nigeria; all sectors; 2021–2025. Norad's own grouping of its statistics (target area), as in Norad's country snapshots; the DAC sub-sectors are in the next table.

What the money is for (sub-sectors) · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Sub-sectorDisbursed (NOK)Agreements
Material relief assistance and services255.4 m12
Agricultural development144.4 m3
Education policy and administrative management104.0 m1
Relief co-ordination and support services93.0 m3
Civilian peace-building, conflict prevention and resolution76.5 m5
Education in Emergencies74.9 m3
Family planning50.9 m2
Basic health care39.4 m2
Emergency food assistance37.7 m2
Basic Health Care Services in Emergencies35.0 m5

Nigeria; all sectors; 2021–2025.

Policy markers (share of disbursements tagged significant or principal) · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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MarkerPrincipal or significantPrincipal objectiveSignificant objective
Gender equality82%7%76%
Climate adaptation26%23%4%
Climate mitigation3%0%3%
Biodiversity3%0%3%
Disability inclusion14%0%14%

Nigeria; all sectors; 2021–2025. Donor-reported OECD policy markers; not outcome evidence. One agreement can carry several markers, so the shares overlap and must not be added up. Norway's data records 'not screened' the same as 'not targeted', so each share is a lower bound. The disability marker exists only from 2018.

Agreement sizes in 2025 · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Size (disbursed in the year)AgreementsDisbursed (NOK)Share of the money
NOK 20m to 50m120.0 m14%
NOK 5m to 20m1199.7 m70%
NOK 1m to 5m1020.7 m15%
Under NOK 1m41.6 m1%

Nigeria; all sectors; 2025. 26 agreements received money in 2025, NOK 142.1 m in all; the 5 largest received 51%. Sizes are what each agreement was paid in 2025, not its whole value over several years. 2 more had only zero or negative entries that year (funds returned), so the net total for 2025 is NOK 136.5 m.

Norway's single agreements and related projects (20)
Largest agreement partners · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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PartnerTypeDisbursed (NOK)AgreementsYears
FAO - Food and Agricultural Organization of the United NationsMultilateral institutions144.4 m32021–2025
UNICEF - United Nations Children's FundMultilateral institutions138.1 m32021–2024
Norwegian Refugee CouncilNGO Norwegian115.3 m42021–2025
Kirkens NødhjelpNGO Norwegian98.3 m52021–2025
UNOCHA - UN Office of Co-ordination of Humanitarian AffairsMultilateral institutions93.0 m32021–2025
Norges Røde KorsNGO Norwegian89.6 m32021–2025
UNFPA - UN Population FundMultilateral institutions85.9 m72021–2025
UNDP - UN Development ProgrammeMultilateral institutions71.9 m32021–2025
Redd Barna NorgeNGO Norwegian47.3 m32021–2025
Caritas NorgeNGO Norwegian41.2 m42021–2025
IDH - The Sustainable Trade InitiativeNGO International26.9 m12023–2025
UN WomenMultilateral institutions18.0 m12021–2023

Nigeria; all sectors; 2021–2025. Agreement partner labels as recorded; not resolved organisation identities.

Largest agreements in 2025 · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

Trace this: Norad's aid results portal (bistandsresultater.no) ↗

AgreementPartnerPartner typeDisbursed (NOK)
Nigeria AppealNorges Røde KorsNGO Norwegian20.0 m
Nigeria - NRC Strategic Partnership AgreementNorwegian Refugee CouncilNGO Norwegian15.2 m
Scaling-up improved food security, nutrition, and sustainable livelihoods in Borno, Adamawa, Yobe and Taraba StatesFAO - Food and Agricultural Organization of the United NationsMultilateral institutions15.0 m
North West Climate-Peace Hubs: A Climate Security Approach to Conflict PreventionUNDP - UN Development ProgrammeMultilateral institutions12.0 m
IDH landscapes program in NigeriaIDH - The Sustainable Trade InitiativeNGO International9.8 m
Nigeria Humanitarian FUndUNOCHA - UN Office of Co-ordination of Humanitarian AffairsMultilateral institutions8.0 m
Resilience in Crisis: An integrated humanitarian response in Nigeria - ProtectionKirkens NødhjelpNGO Norwegian7.9 m
Nigeria humanitarian appealUNFPA - UN Population FundMultilateral institutions7.0 m

Nigeria; all sectors; 2025. Paid in that year; an agreement can run over several years.

Largest agreement: Scaling-up improved food security, nutrition, and sustainable livelihoods in Borno, Adamawa, Yobe and Taraba States · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

Trace this: Norad's aid results portal (bistandsresultater.no) ↗

Agreement NGA-20/0002 — "Scaling-up improved food security, nutrition, and sustainable livelihoods in Borno, Adamawa, Yobe and Taraba States" in Nigeria. Partner: FAO - Food and Agricultural Organization of the United Nations (Multilateral institutions). Sector: 20 - Agricultural development. Payments recorded in 2022–2025 (disbursement years in the Norwegian data, not the agreement's start or end dates); 123.0 m NOK in the selected years; 123.0 m NOK 2015–2025 total. Description: This programme is strengthening resilience of crises affected population in the four states of Borno, Adamawa, Yobe and Taraba to alleviate hunger and poverty in the region. The project impact is to enhance food and nutrition security on a sustainable basis. This 3-year intervention will directly benefit about 307,930 persons (37,400 households) with at least 45 percent of women as direct beneficiaries who will receive agriculture starter kits (inputs/tools/animals), knowledge and skills and to enhance their resilience. The beneficiaries will be IDPs, host communities and returnees/relocated households with special attention to women headed households. The four main priorities are: Priority 1: Promote Climate Resilient Diversified Agriculture for Sustainable Household Food and Nutrition Security Priority 2: Enhance agricultural value chains and stimulate local markets Priority 3: …

Largest agreement: UNICEF - Safe, Inclusive Learning and Skills for All (SILSA) · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement NGA-22/0001 — "UNICEF - Safe, Inclusive Learning and Skills for All (SILSA)" in Nigeria. Partner: UNICEF - United Nations Children's Fund (Multilateral institutions). Sector: 10 - Education policy and administrative management. Payments recorded in 2022–2024 (disbursement years in the Norwegian data, not the agreement's start or end dates; no payment recorded after 2024, which does not show that it ended); 104.0 m NOK in the selected years; 104.0 m NOK 2015–2025 total. Description: The overall outcome for the programme is to increase the number of children, including adolescents, and particularly the most vulnerable, accessing safe, inclusive, learning and skills development opportunities in northwest and northeast Nigeria by 2025. To achieve this outcome, the programme will: 1. Strengthen the capacity of federal, state, and local governments to develop costed plans, public financing, and budget tracking to deliver safe, quality education, including for the most marginalized children and in humanitarian and fragile contexts (Educational governance and planning) 2. Increase the number of children safely accessing formal or non-formal pre-primary and basic education and child protection services including in humanitarian and fragile contexts (Equitable and inclusive access) 3. Increase the number of children, especially girls, Almajiri, and children with …

Largest agreement: Nigeria. Humanitarian Response · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement QZA-20/0048-9 — "Nigeria. Humanitarian Response" in Nigeria. Partner: Norwegian Refugee Council (NGO Norwegian). Sector: 10 - Material relief assistance and services. Payments recorded in 2020–2024 (disbursement years in the Norwegian data, not the agreement's start or end dates; no payment recorded after 2024, which does not show that it ended); 78.1 m NOK in the selected years; 96.1 m NOK 2015–2025 total. Description: Humanitarian response in Nigeria

Largest agreement: Humanitarian assistance · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement QZA-20/0052-11 — "Humanitarian assistance" in Nigeria. Partner: Kirkens Nødhjelp (NGO Norwegian). Sector: 10 - Material relief assistance and services. Payments recorded in 2020–2024 (disbursement years in the Norwegian data, not the agreement's start or end dates; no payment recorded after 2024, which does not show that it ended); 63.2 m NOK in the selected years; 80.8 m NOK 2015–2025 total. Description: Save lives, alleviate suffering and protect human dignity. Focus:WASH, SGBV, ASRH and protection.

Largest agreement: Nigeria Humanitarian FUnd · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement QZA-23/0010-8 — "Nigeria Humanitarian FUnd" in Nigeria. Partner: UNOCHA - UN Office of Co-ordination of Humanitarian Affairs (Multilateral institutions). Sector: 50 - Relief co-ordination and support services. Payments recorded in 2023–2025 (disbursement years in the Norwegian data, not the agreement's start or end dates); 61.0 m NOK in the selected years; 61.0 m NOK 2015–2025 total. Description: Support to Nigeria Humanitarian Fund. Gender is mainstreamed in OCHAs activitives including in the pooled funds.

Largest agreement: Nigeria Appeal · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement QZA-23/0004-15 — "Nigeria Appeal" in Nigeria. Partner: Norges Røde Kors (NGO Norwegian); implementing: ICRC - International Committee of the Red Cross. Sector: 10 - Material relief assistance and services. Payments recorded in 2023–2025 (disbursement years in the Norwegian data, not the agreement's start or end dates); 60.0 m NOK in the selected years; 60.0 m NOK 2015–2025 total. Description: Support to ICRC's Nigeria Appeal. International humanitarian law aims to prevent and alleviate suffering in war without discrimination based on sex, but recognize that women face specific problems in armed conflict, such as sexual violence and risks to their health. It recognizes this in the general protection it affords to both women and men, as well as in some specific provisions providing additional protection to women.

Largest agreement: North West Climate-Peace Hubs: A Climate Security Approach to Conflict Prevention · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement NGA-22/0002 — "North West Climate-Peace Hubs: A Climate Security Approach to Conflict Prevention" in Nigeria. Partner: UNDP - UN Development Programme (Multilateral institutions). Sector: 20 - Civilian peace-building, conflict prevention and resolution. Payments recorded in 2022–2025 (disbursement years in the Norwegian data, not the agreement's start or end dates); 56.8 m NOK in the selected years; 56.8 m NOK 2015–2025 total. Description: To foster resilience against climate and security risks, this project will through a conflict-sensitive manner contribute towards: 1. Improved access to data supporting decision-making for anticipatory actions to climate and conflict risks 2. Increased access conflict sensitive and climate resilient livelihoods and green jobs 3. Strengthened systems and practices for communal management of natural resources

Largest agreement: UNFPA Advancing Access to Comprehensive Sexual and Reproductive Health and Rights of Adolescent Girls and Women · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement NGA-21/0002 — "UNFPA Advancing Access to Comprehensive Sexual and Reproductive Health and Rights of Adolescent Girls and Women" in Nigeria. Partner: UNFPA - UN Population Fund (Multilateral institutions). Sector: 30 - Family planning. Payments recorded in 2022–2024 (disbursement years in the Norwegian data, not the agreement's start or end dates; no payment recorded after 2024, which does not show that it ended); 48.0 m NOK in the selected years; 48.0 m NOK 2015–2025 total. Description: Objective: To improve access to Comprehensive Sexual and Reproductive Health and Rights of adolescent girls and women in selected local government areas of three states of Nigeria (Akwa Ibom, Gombe and Kaduna). Outcome: By 2025 women and adolescent girls in selected Local Government Areas in three states exercise their Sexual Reproductive Health and Rights and have improved access to integrated Sexual and Reproductive health services, including i) Family Planning; ii) EmONC; iii) Obstetric Fistula Care and iv) Gender Based Violence Services.

Largest agreement: Essential Protection and Education for Children in Nigeria · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement QZA-20/0058-4 — "Essential Protection and Education for Children in Nigeria" in Nigeria. Partner: Redd Barna Norge (NGO Norwegian). Sector: 12 - Education in Emergencies. Payments recorded in 2020–2024 (disbursement years in the Norwegian data, not the agreement's start or end dates; no payment recorded after 2024, which does not show that it ended); 36.8 m NOK in the selected years; 44.7 m NOK 2015–2025 total. Description: Essential Protection and Education for Children in Nigeria. Protection of children, education in emergencies

Largest agreement: UNICEF Education in North East Nigeria · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement NGA-19/0001 — "UNICEF Education in North East Nigeria" in Nigeria. Partner: UNICEF - United Nations Children's Fund (Multilateral institutions). Sector: 12 - Education in Emergencies. Payments recorded in 2019–2022 (disbursement years in the Norwegian data, not the agreement's start or end dates; no payment recorded after 2022, which does not show that it ended); 34.4 m NOK in the selected years; 103.2 m NOK 2015–2025 total. Description: Support to education in emergencies in order to increase access to and quality of education and vocational training for girls, boys and adolescents and protection efforts in North East Nigeria.

Related project (similar description): Humanitarian assistance Nigeria · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement QZA-20/0053-3 — "Humanitarian assistance Nigeria" in Nigeria. Partner: Caritas Norge (NGO Norwegian). Sector: 40 - Emergency food assistance. Payments recorded in 2020–2025 (disbursement years in the Norwegian data, not the agreement's start or end dates); 37.1 m NOK 2015–2025 total. Description: Lifesaving food and necessary non-food items assistance, protection and WASH in line with humanitarian principles.

Related project (similar description): Humanitarian Assisitance Nigeria · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement QZA-25/0136-3 — "Humanitarian Assisitance Nigeria" in Nigeria. Partner: Caritas Norge (NGO Norwegian); implementing: Caritas - local partner. Sector: 10 - Material relief assistance and services. Payments recorded in 2025 (disbursement years in the Norwegian data, not the agreement's start or end dates); 789 k NOK 2015–2025 total. Description: Humanitarian assitance in Nigeria - WASH and reduced vulnerability . Impact: Save lives, alleviate suffering and protect human dignity in humanitarian crises Outcomes: WASH and reduced vulnerability. WASH activities include: Hygiene promotoion training to women and girls, distribution of hygiene kits, information sharing on hygiene practices, drilling and rehabilitation of water pumps, and community training on water system management. Reduced vulnerability activities include: Resilience-building activities, SILC groups will be established to improve access to savings and small-scale financing, training on income-generating activities, agronomy training and distribution of improved seeds. Disaster risk reduction will be integrated to strengthen community resilience.

Related project (similar description): Resilience in Crisis: An integrated humanitarian response in Nigeria · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement QZA-25/0008-14 — "Resilience in Crisis: An integrated humanitarian response in Nigeria" in Nigeria. Partner: Kirkens Nødhjelp (NGO Norwegian); implementing: EYN - Ekklesiyar Yan'uwa a Nigeria. Sector: 10 - Material relief assistance and services. Payments recorded in 2025 (disbursement years in the Norwegian data, not the agreement's start or end dates); 6.9 m NOK 2015–2025 total. Description: Norwegian Church Aid Nigeria’s WASH programme delivers safe, inclusive, and sustainable water and sanitation services. It promotes hygiene, climate resilience, and disaster preparedness, supporting the most vulnerable groups in the targeted areas, including women, girls and persons living with disabilities. The response will be implemented together with the national partners: Greencode, Eklizeyar Yan'uwa a Nigeria, Unified Members for Women's Advancement and Christian Council of Nigeria.

Related project (similar description): Humanitarian Action Overview - Nigeria · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement QZA-22/0081-6 — "Humanitarian Action Overview - Nigeria" in Nigeria. Partner: UNFPA - UN Population Fund (Multilateral institutions). Sector: 11 - Basic Health Care Services in Emergencies. Payments recorded in 2022 (disbursement years in the Norwegian data, not the agreement's start or end dates; no payment recorded after 2022, which does not show that it ended); 4.0 m NOK 2015–2025 total. Description: Humanitarian Action Overview. Support against sexual and gender-based violence (SGBV).

Related project (similar description): UNOCHA Nigeria humanitarian fund · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement QZA-18/0177-6 — "UNOCHA Nigeria humanitarian fund" in Nigeria. Partner: UNOCHA - UN Office of Co-ordination of Humanitarian Affairs (Multilateral institutions). Sector: 50 - Relief co-ordination and support services. Payments recorded in 2018–2022 (disbursement years in the Norwegian data, not the agreement's start or end dates; no payment recorded after 2022, which does not show that it ended); 113.0 m NOK 2015–2025 total. Description: UNOCHA Nigeria humanitarian fund

Related project (similar description): Emergency Food Assistance - Nigeria · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement QZA-22/0125-24 — "Emergency Food Assistance - Nigeria" in Nigeria. Partner: WFP - World Food Programme (Multilateral institutions). Sector: 40 - Emergency food assistance. Payments recorded in 2022 (disbursement years in the Norwegian data, not the agreement's start or end dates; no payment recorded after 2022, which does not show that it ended); 7.0 m NOK 2015–2025 total. Programme period stated in the description: 2019–2023. Description: CSP Nigeria 2019-2023

Related project (similar description): Resilience in Crisis: An integrated humanitarian response in Nigeria - Protection · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

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Agreement QZA-25/0008-13 — "Resilience in Crisis: An integrated humanitarian response in Nigeria - Protection" in Nigeria. Partner: Kirkens Nødhjelp (NGO Norwegian); implementing: Greencode. Sector: 10 - Material relief assistance and services. Payments recorded in 2025 (disbursement years in the Norwegian data, not the agreement's start or end dates); 7.9 m NOK 2015–2025 total. Description: Norwegian Church Aid Nigeria’s GBV response addresses urgent needs while building long-term resilience. It empowers women and girls, including those with disabilities, through skills training, financial literacy, and access to protection and SRH services. The response will be implemented together with the national partners: Greencode, Eklizeyar Yan'uwa a Nigeria, Unified Members for Women's Advancement and Christian Council of Nigeria.

Related project (similar description): conflict prevention, peacebuilding & support to democratic empowerment · Norwegian development assistance data (bistandsresultater.no)

About this source: Norway's own record of every aid agreement and payment, published by Norad. It is the most detailed source on Norwegian aid; it covers Norway only, so other donors come from the OECD cards.

Trace this: Norad's aid results portal (bistandsresultater.no) ↗

Agreement NGA-17/0002 — "conflict prevention, peacebuilding & support to democratic empowerment" in Nigeria. Partner: UNDP - UN Development Programme (Multilateral institutions). Sector: 20 - Civilian peace-building, conflict prevention and resolution. Payments recorded in 2018–2021 (disbursement years in the Norwegian data, not the agreement's start or end dates; no payment recorded after 2021, which does not show that it ended); 37.0 m NOK 2015–2025 total. Description: Deepening peace, development and democracy in Nigeria through empowerment and national infrastructure for peace.

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