South Sudan

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 ↗

OECD Creditor Reporting System, gross disbursements, current USD millions; recipients SSD (combined); all sectors (CRS total); retrieved 2026-10-14. 66 individual donors report in scope. Latest OECD year lags national data. All official donors: Trend: USD 1,681.0m in 2019 → USD 1,743.0m in 2024 (+4%); peak USD 2,126.4m in 2021. United States: Trend: USD 559.6m in 2019 → USD 723.5m in 2024 (+29%); peak USD 952.3m in 2022. United Kingdom: Trend: USD 264.7m in 2019 → USD 169.1m in 2024 (-36%); peak USD 264.7m in 2019. World Bank (IDA): Trend: USD 79.7m in 2019 → USD 136.0m in 2024 (+71%); peak USD 222.0m in 2022. All official donors in constant 2024 USD (the OECD's own deflators, which also take out exchange-rate changes): USD 1,970.4m in 2019 → USD 1,743.0m in 2024 (-12%); peak USD 2,275.9m in 2021. Rank and share use the combined displayed years and all official donors, including multilateral institutions; not a single-year or bilateral-only comparison.

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 ↗

OECD CRS project-level records, gross disbursements 2023 to 2024, current USD millions; recipients SSD; all sectors; Norway excluded (see the Norwegian data); retrieved 2026-10-16. 820 projects from 48 donors report in scope. Titles and descriptions are donor-reported; a project may cover more than the sector named.

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: South Sudan 2024 ↗ · FTS plan: South Sudan 2025 ↗ · FTS plan: South Sudan 2026 ↗ · FTS response plans overview, 2024 (all countries) ↗ · FTS response plans overview, 2025 (all countries) ↗ · FTS response plans overview, 2026 (all countries) ↗

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.

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: South Sudan 2025 ↗ · FTS response plans overview, 2025 (all countries) ↗

UN OCHA FTS, national humanitarian response plans 2025, eight largest clusters by requirement, USD millions; retrieved 2026-11-08. South Sudan 2025 largest donors: United States of America, Government of USD 235.6m; European Commission's Humanitarian Aid and Civil Protection Department USD 119.6m; Germany, Government of USD 56.5m; United Kingdom, Government of USD 55.2m; United States Department of State USD 46.0m.

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 ↗

UN OCHA Country-Based Pooled Funds; funds South Sudan; 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.

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: South Sudan project records (CSV) ↗

UN OCHA Country-Based Pooled Funds; funds South Sudan; allocation years 2024-2026 (2026 to date); approved budgets, USD millions; retrieved 2026-11-08. Ranked by approved budget in the clusters covered (Education, 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.

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 ↗

UN CERF; countries SSD; 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.

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) ↗

OECD, mobilised private finance for development; recipients South Sudan (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. 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.

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 ↗

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). Germany: USD 33,249.3m in 2024 → USD 28,032.0m in 2025 (-16% in one year). EU Institutions: USD 35,654.1m in 2024 → USD 52,904.8m in 2025 (+48% in one year). Canada: USD 8,422.9m in 2024 → USD 10,131.3m in 2025 (+20% in one year). The same donors in this country and sector (OECD CRS, gross disbursements; ends earlier): United States: USD 559.6m in 2019 → USD 723.5m in 2024. United Kingdom: USD 264.7m in 2019 → USD 169.1m in 2024. Germany: USD 143.1m in 2019 → USD 87.2m in 2024. EU Institutions: USD 68.5m in 2019 → USD 119.3m in 2024. Canada: USD 45.9m in 2019 → USD 39.5m in 2024. Norway: USD 69.0m in 2019 → USD 57.7m in 2024. Sweden: USD 56.2m in 2019 → USD 29.8m 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.

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 ↗

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 301.8m); United Nations Children's Fund (USD 55.4m); International Organisation for Migration (USD 23.1m); DT Global (USD 10.3m); World Vision (USD 9.6m).

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) ↗

OECD Private Philanthropy for Development; recipients SSD; all sectors; 2019-2024; gross disbursements, current USD millions; retrieved 2026-10-16. 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.

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, South Sudan (United Nations Office for the Coordination of Humanitarian Affairs) ↗ · Act Church of Sweden 2023-2025 (CSO-strategy) (Sweden) ↗ · World Bank Global Water Security & Sanitation Partnership 20 (Sweden) ↗

IATI Datastore, activities in implementation (status 2) in South Sudan, 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.

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: South Sudan Health Sector Transformation Project (HSTP) (P508356) ↗ · South Sudan Resilient Livestock Sector Project (P500553) ↗ · Additional Financing for Building Skills for Human Capital Development in South Sudan (P181681) ↗ · World Bank projects and operations ↗

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.

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 ↗

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. South Sudan: USD 365.3m in 2022 → USD 373.8m in 2024 (+2%); peak USD 519.4m in 2023.

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 ↗

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.

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.

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.

Computed by the app: OECD CRS gross disbursements in this scope, 2024 (card E28), all official donors USD 1,743.0m; 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.

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 ↗

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.

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 ↗

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. South Sudan: the most constrained crisis is Complex crisis in South Sudan (5 of 5, Extreme).

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: South Sudan: Operational Presence (ss_202601012_3w_operational presence_Jan-Aug_2026.xlsx, OCHA South Sudan) ↗

OCHA 3W operational presence via the HDX Humanitarian API, latest period: South Sudan Jan–Aug 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). South Sudan: ranking counts distinct coded admin2 areas. South Sudan: 41 organisations reported for Jan–Aug 2026, 41 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.

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 2026, OCHA Humanitarian Programme Cycle Tools (HPC Tools)) ↗

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.

Older than usual. Newest available: Sep–Nov 2025, about 12 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, South Sudan ↗

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).

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) ↗

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.

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 SSD, 2025 ↗ · UNHCR Refugee Data Finder ↗

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.

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: South Sudan ↗

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.

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: South Sudan ↗ · UNDP and OPHI global Multidimensional Poverty Index: downloads ↗ · IOM Displacement Tracking Matrix ↗ · UN System Data Commons (IOM series) ↗

UNDP Human Development Report, composite indices time series; UNDP and OPHI global Multidimensional Poverty Index; IOM Displacement Tracking Matrix via the UN System Data Commons; 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. South Sudan HDI: 0.391 in 2013 → 0.388 in 2023 (-1%); peak 0.403 in 2019.

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) ↗

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.

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 ↗

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.

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 ↗

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.

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) ↗

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. South Sudan: the highest of the three dimensions is Lack of coping capacity (9.1); read the score through that dimension. South Sudan: INFORM Risk 8.4 in 2022 → 8.3 in Mid 2026 (Very high → Very high); the method changed slightly between editions, so read this as direction, not a precise trend.

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: South Sudan: Rainfall Indicators at Subnational Level (ssd-rainfall-subnat-5ytd.csv, WFP - World Food Programme) ↗

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.

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 ↗

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. South Sudan 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).

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) ↗

South Sudan; all sectors; 2021–2025. Trend: 606.0 m in 2021 → 704.8 m in 2025 (+16%); peak 825.6 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): 718.7 m in 2021 → 704.8 m in 2025 (-2%); peak 877.2 m in 2023.

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) ↗

South Sudan; 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.

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) ↗

South Sudan; 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.

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) ↗

South Sudan; all sectors; 2021–2025.

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) ↗

South Sudan; 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.

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) ↗

South Sudan; all sectors; 2025. 69 agreements received money in 2025, NOK 706.6 m in all; the 5 largest received 38%. Sizes are what each agreement was paid in 2025, not its whole value over several years. 3 more had only zero or negative entries that year (funds returned), so the net total for 2025 is NOK 704.8 m.