Question map
Very recently, in which of the following countries have lakhs of people either suffered from severe famine/acute malnutrition or died due to starvation caused by war/ethnic conflicts ?
Explanation
The correct answer is option D (Yemen and South Sudan). In Yemen, the global economic slowdown and declining economic conditions reduced remittances on which a large share of the population relied, and in addition to the COVID-19 pandemic, a series of natural disasters led to lost income and assets, and in some cases, caused death and disease, with flooding in Sana'a and neighboring governorates killing over 100 Yemenis and destroying assets[1]. In South Sudan, nearly USD 1 billion had disappeared in a bank credit scam, benefiting South Sudan's leaders and their families and depriving hundreds of thousands of people in need of government health and[2] food services. Both countries experienced severe humanitarian crises around 2018, with conflict and governance failures leading to widespread food insecurity and malnutrition affecting lakhs (hundreds of thousands) of people. The other country pairs (Angola-Zambia, Morocco-Tunisia, and Venezuela-Colombia) did not experience similar scale famine conditions caused by war or ethnic conflicts during this period.
Sources- [1] https://thedocs.worldbank.org/en/doc/70c4a9845ac4bc5f5a857cbb943054de-0280012022/original/Food-Security-Crisis.pdf
- [2] https://www.amnesty.org/en/wp-content/uploads/2023/03/WEBPOL1056702023ENGLISH.pdf
PROVENANCE & STUDY PATTERN
Full viewThis is a classic 'Headline Humanitarian Crisis' question. It rewards awareness of major UN declarations rather than obscure trivia. If the UN declares a 'Level 3 Emergency' or uses the word 'Famine' (a technical term, not just hunger), it is mandatory for Prelims.
This question can be broken into the following sub-statements. Tap a statement sentence to jump into its detailed analysis.
- Statement 1: In 2018, did Yemen have hundreds of thousands (lakhs) of people suffering severe famine or acute malnutrition or dying of starvation caused by war or ethnic conflict?
- Statement 2: In 2018, did South Sudan have hundreds of thousands (lakhs) of people suffering severe famine or acute malnutrition or dying of starvation caused by war or ethnic conflict?
- Statement 3: In 2018, did Venezuela have hundreds of thousands (lakhs) of people suffering severe famine or acute malnutrition or dying of starvation caused by political/economic crisis or conflict?
- Statement 4: In 2018, did Colombia have hundreds of thousands (lakhs) of people suffering severe famine or acute malnutrition or dying of starvation caused by war or ethnic conflict?
- Statement 5: In 2018, did Angola have hundreds of thousands (lakhs) of people suffering severe famine or acute malnutrition or dying of starvation caused by war or ethnic conflict?
- Statement 6: In 2018, did Zambia have hundreds of thousands (lakhs) of people suffering severe famine or acute malnutrition or dying of starvation caused by war or ethnic conflict?
- Statement 7: In 2018, did Morocco have hundreds of thousands (lakhs) of people suffering severe famine or acute malnutrition or dying of starvation caused by war or ethnic conflict?
- Statement 8: In 2018, did Tunisia have hundreds of thousands (lakhs) of people suffering severe famine or acute malnutrition or dying of starvation caused by war or ethnic conflict?
Describes a 'man-made' famine where war diverted food supplies and stopped imports, producing mass deaths from starvation and epidemics.
A student could check whether Yemen's war in 2018 disrupted imports/diverted food and whether reports from that year describe similar man-made mechanisms producing mass malnutrition.
Gives a concise definition: famine is characterised by widespread deaths due to starvation arising when food shortages and high prices make food unaffordable.
Use this definition to evaluate 2018 Yemen data: were food prices, availability, and mortality in 2018 at levels that meet the famine criteria?
Identifies regional and country-level patterns of famine vulnerability, including conflict-affected areas (e.g., parts of Afghanistan, Iran, Baluchistan).
Since Yemen is in a region with nearby conflict-prone countries listed, a student could treat Yemen as plausibly vulnerable and look for contemporary humanitarian reports for 2018.
Gives historical scale: the 1943 Bengal famine killed 'thirty lakh' people, showing that famines can reach hundreds of thousands to millions.
Use this example to judge whether reported Yemeni mortality/malnutrition figures in 2018 (if in the hundreds of thousands) would be comparable to historically large famines and thus plausible.
Notes famines can cause extremely large death tolls (tens of lakhs) when combined with epidemic and food shortages, emphasising multi-causal severity.
Apply this pattern to Yemen: determine if 2018 combined conflict, epidemics, and food shortages could produce similarly large-scale suffering or deaths.
Identifies Africa β including Sudan and Sahel countries β as the region most prone to repeated, large-scale famines.
A student could combine this regional vulnerability with knowledge of South Sudan's location to suspect large famine risk there in severe crisis years.
Lists 'Southern Sudan' among countries suffering extensive desertification and links severe droughts to thousands dying of starvation in the 1990s.
A student can extend this environmental vulnerability to infer that Southern Sudan (and by extension South Sudan) may face mass food crises when combined with other stresses.
Shows a clear mechanism: war can amplify or cause famines by diverting food supplies and disrupting imports and relief.
One could apply this rule to any country experiencing active armed conflict (e.g., South Sudan) to plausibly link conflict to large-scale acute malnutrition or famine.
Defines famine as a situation of widespread deaths due to starvation caused by prolonged shortage of food and high prices.
A student could use this definition plus data on numbers affected or mortality in South Sudan (from outside sources) to judge whether conditions in 2018 met 'famine' thresholds.
Notes that famine-like conditions can persist today due to calamities and that food insecurity disproportionately affects vulnerable groups.
Combine this with knowledge of conflict-displaced and vulnerable populations in South Sudan to evaluate plausibility of hundreds of thousands affected in 2018.
Describes a 'man-made' famine (Bengal 1943) where political/economic actions β diversion of food, stopped imports, mismanagement and profiteering β produced mass deaths.
A student could use this pattern to ask whether Venezuela's 2018 food shortages followed similar disruptions (imports, distribution, political/economic mismanagement) and therefore might cause large-scale malnutrition/deaths.
Gives a clear definition: a famine is characterised by widespread deaths due to starvation and arises when prolonged shortages push people above affordability thresholds.
Compare reported rates of acute malnutrition or excess mortality in Venezuela 2018 against this definition/threshold to judge if conditions meet 'famine' criteria.
Notes that modern events (e.g., pandemics, large economic disruptions) can create 'famine-like conditions' and localized starvation even without historical-scale famines.
Use this example to consider whether Venezuela's 2018 economic collapse and movement restrictions could produce 'famine-like' acute malnutrition in parts of the population.
Points out that policy-driven famines (e.g., China 1958β61) caused tens of millions of deaths, linking authoritarian/government policy failures to extreme food crises.
A student could examine whether government policies or systemic economic collapse in Venezuela 2018 resemble policy failures known to produce widespread starvation.
Identifies world regions repeatedly vulnerable to mass starvation and lists Latin American areas (Central America, parts of Bolivia and Paraguay) among vulnerable zones.
Combine this geographic vulnerability pattern with knowledge that Venezuela is in Latin America to assess regional risk factors and verify whether Venezuela fits known vulnerability patterns in 2018.
Describes how wartime factors (diversion of food to armies, stoppage of imports, mismanagement) can produce millions of deaths in a βman-madeβ famine.
A student could check whether Colombia in 2018 experienced similar wartime food diversion, import stoppages, or large-scale administrative breakdown that would plausibly cause mass famine.
Gives a definition/characteristics: famine arises when widespread shortages and high prices prevent people from affording food, leading to mass starvation.
Compare 2018 Colombia data on food prices, regional shortages, and populations unable to afford food to see if conditions matched this definition.
Lists geographic regions prone to famine and shows famines are concentrated in certain vulnerable countries/regions, implying famines are not uniform worldwide.
Use a map and this pattern to note that Colombia is not listed among typical high-risk regions here, so one would look for exceptional local causes in Colombia in 2018 before inferring large-scale famine.
Provides historical scale of famines measured in lakhs/millions (e.g., tens of lakhs or crores dead), showing the magnitude implied by the statement.
Use this scale benchmark to judge whether reported Colombian mortality/nutrition statistics for 2018 reach the 'hundreds of thousands' level.
States that 'nothing like Bengal famine has happened in India again' but that famine-like conditions and occasional starvation deaths still occur in modern times.
This suggests looking for contemporary reports distinguishing localized starvation deaths from full-scale famine; apply same distinction to Colombia 2018 data/reports.
Describes how wartime factors (diversion of food, halted imports, mismanagement) can produce large-scale famine with millions dead.
A student could ask whether similar wartime disruptions affected Angola in/around 2018 by checking conflict timelines and food-import/distribution interruptions for Angola that year.
States that Africa contains the worst-affected famine-prone areas and that famine deaths in recent decades reached millions in some regions.
Using a map and regional vulnerability patterns, a student could assess whether Angola lies in or near these highly vulnerable zones and compare 2018 regional famine reports.
Gives a concise definition/pattern: famine arises from widespread food shortage, high prices, and results in widespread deaths from starvation.
A student could check 2018 data for Angola on food availability, price spikes, and mortality to see if the definitional thresholds of famine were met.
Provides an historical example (Bengal 1943) showing famines can kill βlakhsβ (hundreds of thousands to millions) and identifies vulnerable occupational groups.
A student could use this scale benchmark to judge whether reported Angolan malnutrition figures in 2018 reach comparable magnitudes.
Links environmental degradation/desertification in parts of Africa to recurrent droughts and thousands of starvation deaths, showing natural drivers often compound crises.
A student could combine this with Angolaβs environmental and drought records for 2018 to evaluate non-conflict contributions to acute malnutrition there.
Gives a clear definition: a famine is characterised by widespread deaths due to starvation, linking the term 'famine' to measurable large-scale mortality.
A student could use this definition to check 2018 Zambia data for whether deaths reached the βwidespreadβ/large-scale threshold implied by famine.
Shows how war and wartime policies (diversion of food supplies, stopped imports, mismanagement) can produce large, man-made famines with millions dead.
A student could ask whether in 2018 Zambia there were comparable war-related disruptions (food diversion, border closures, large-scale mismanagement) that could plausibly cause mass starvation.
States that Africa has been the continent most affected by mass starvation and identifies regions prone to repeated famines and million-scale deaths in the 1990s.
A student could use this pattern to focus on African countries with repeated famine history and then check whether Zambia falls into those high-risk lists for 2018.
Notes that famine-like conditions can still occur in modern times from shocks (e.g., pandemics) causing food insecurity and occasional starvation deaths.
A student could treat 2018 as a specific shock-year candidate and look for contemporaneous shocks in Zambia (conflict, economic collapse, drought) that match the pattern.
Provides historical example of famines measured in lakhs/millions (large absolute scales), illustrating the magnitude implied by terms like 'hundreds of thousands'.
A student could compare the magnitudes given here (lakhs/millions) with reported 2018 Zambia figures to judge whether the claim's scale is plausible.
Describes how war-related disruptions (diverted food, stopped imports, mismanagement) can produce very large, manβmade famines with millions dead.
A student could check whether Morocco in 2018 experienced comparable large-scale conflict or import/blockade disruptions to plausibly produce hundreds of thousands starving.
Gives an example (Bengal 1943) where malnutrition and starvation affected tens/hundreds of thousands to millions when labour groups lost access to affordable food.
Use this pattern to ask whether 2018 Morocco had similar widespread market/price collapse or loss of livelihood among vulnerable labour groups.
Identifies Africa (Sahel and specific countries) as regions prone to catastrophic mass starvation and recurring famine years.
A student can compare Morocco's geographic/climatic position and 2018 drought/conflict indicators with those listed famineβprone areas to judge likelihood.
Lists Western Sahara and nearby areas among places with extensive desertification and repeated severe droughts that have led to starvation deaths.
Since Western Sahara is adjacent to Morocco, one could check whether 2018 saw comparable desertification/drought impacts crossing into Moroccan populations at massive scale.
Defines famine as widespread deaths due to starvation that follow prolonged food shortages and price rises β a general rule for diagnosing famine severity.
Apply this rule by looking for 2018 Moroccan data on prolonged food shortages, sustained high food prices, and mortality to assess if 'hundreds of thousands' is plausible.
- This passage explicitly concerns Tunisia but discusses legal and human-rights issues, not famine or mass starvation.
- Nowhere in the quoted Tunisia material is there any mention of large-scale famine, acute malnutrition, or mass deaths from starvation in 2018.
- The passage describes a deadly conflict in Ethiopia with 'hundreds of thousands of lives' lost, showing where large-scale conflict-related mortality is reported in these sources.
- It does not reference Tunisia or any 2018 famine there, so it does not support the claim about Tunisia.
- This passage documents large-scale displacement and severe privation in Ukraine, demonstrating documented conflict-driven humanitarian crises in the sources provided.
- It contains no information about Tunisia or about hundreds of thousands suffering famine in Tunisia in 2018.
Lists the countries/regions most vulnerable to famines in recent decades (Sahel, parts of Africa, Afghanistan, Iran, Pakistan, Bangladesh, Myanmar, parts of India, Mongolia, China, Central America, Bolivia, Paraguay).
A student could note that Tunisia is not named among listed high-risk famine countries and then check 2018 regional/UN famine alerts to see if Tunisia appears.
Names countries with extensive desertification and severe drought-driven starvation in the 1990s (Jordan, Lebanon, Somalia, Ethiopia, Southern Sudan, Chad, Mali, Mauritania, Western Sahara) β again Tunisia is not listed.
Use this omission as a prompt to compare Tunisia's 2018 environmental/drought reports with those listed to assess relative famine risk.
Gives a clear definition: a famine involves widespread food shortage, price rises, and 'wide spread deaths due to starvation.'
Apply this definition to 2018 Tunisia by checking if documented food shortages and widespread starvation deaths occurred at a scale of hundreds of thousands.
Gives scale examples of modern famines (Bengal 1943: around 1.5β3 million dead), illustrating what 'millions' or 'lakhs' of famine victims look like historically.
Compare those historical casualty scales to any 2018 Tunisian mortality/malnutrition figures to judge whether 'hundreds of thousands' is plausible.
States that while famine-like conditions still occur in parts of countries, nothing like the Bengal famine has recurred in India; it highlights that famines severe enough to cause mass deaths are now relatively rare and usually tied to large-scale disasters or conflict.
Use this pattern to argue that a 2018 famine of hundreds of thousands would be an exceptional, well-documented event β so search major 2018 humanitarian reports for Tunisia.
- [THE VERDICT]: Sitter. This was the 'World's Worst Humanitarian Crisis' (Yemen) and the first declared famine in years (South Sudan) across all major newspapers in 2017-18.
- [THE CONCEPTUAL TRIGGER]: International Relations > Global Humanitarian Crises & Conflict Zones.
- [THE HORIZONTAL EXPANSION]: Memorize the 'IPC Phase 5' (Famine) criteria. Current hotspots: Tigray (Ethiopia), Gaza Strip, Sudan (Darfur), and Haiti. Know the difference between 'Food Insecurity' and 'Famine'.
- [THE STRATEGIC METACOGNITION]: Filter conflict news through a 'Human Geography' lens. Don't just track who is fighting whom; track the *consequences*βRefugees (Rohingya), Famine (Yemen), or Disease (Cholera in Haiti).
Several references quantify famine mortality using lakhs and millions (e.g., 30 lakh, 1.5β3 million), so understanding those units is necessary to evaluate claims about 'hundreds of thousands'.
High-yield for UPSC: helps convert and compare reported casualty figures across sources and eras; links to demographic impact, humanitarian scale, and policymaking. Enables question patterns asking to assess scale of crises or compare historical and contemporary famines. Practice by converting units and checking consistency across reports.
- Economics, Class IX . NCERT(Revised ed 2025) > Chapter 4: Food Security in India > Why food security? > p. 43
- Rajiv Ahir. A Brief History of Modern India (2019 ed.). SPECTRUM. > Chapter 23: Quit India Movement, Demand for Pakistan, and the INA > Famine of 1943 > p. 453
- Modern India ,Bipin Chandra, History class XII (NCERT 1982 ed.)[Old NCERT] > Chapter 11: Economic Impact of the British Rule > POVERTY AND FAMINES > p. 194
Evidence explicitly lists causes such as diversion of food to armies, stopped imports, drought, and administrative mismanagement β relevant to attributing famine to war or conflict.
Important for answering causation questions in GS papers and essays; connects history, polity (administrative failure), and security (war-induced shortages). Prepares candidates to evaluate whether conflict plausibly caused severe food crises in a given case.
- Rajiv Ahir. A Brief History of Modern India (2019 ed.). SPECTRUM. > Chapter 23: Quit India Movement, Demand for Pakistan, and the INA > Famine of 1943 > p. 453
- Environment and Ecology, Majid Hussain (Access publishing 3rd ed.) > Chapter 8: Natural Hazards and Disaster Management > Causes of Famines > p. 83
References define famine as widespread starvation and deaths and discuss epidemic/ malnutrition consequences β useful for judging whether a situation meets 'severe famine' criteria.
Useful for analytical questions and case studies: knowing indicators (widespread deaths, malnutrition, price spikes) helps determine if a reported crisis qualifies as famine. Links to disaster management and public health topics; helps form evidence-based answers.
- Economics, Class IX . NCERT(Revised ed 2025) > Chapter 4: Food Security in India > Why food security? > p. 42
- Exploring Society:India and Beyond ,Social Science, Class VIII . NCERT(Revised ed 2025) > Chapter 4: The Colonial Era in India > Paradise: In a religious context, heaven. Here, an ideal, wealthy or perfectly happy place. > p. 97
References (e.g., the Bengal 1943 account) list concrete famine drivers such as diversion of food to armies, stoppage of imports, and administrative mismanagement β useful when assessing famine origins in conflict contexts.
High-yield for UPSC: understanding causal chains helps answer questions linking conflict/policy to food crises and compare historical and contemporary famines. Connects to topics in modern history, disaster management and conflict studies. Prepare by mapping causes to case studies and evaluating policy responses.
- Rajiv Ahir. A Brief History of Modern India (2019 ed.). SPECTRUM. > Chapter 23: Quit India Movement, Demand for Pakistan, and the INA > Famine of 1943 > p. 453
- Environment and Ecology, Majid Hussain (Access publishing 3rd ed.) > Chapter 8: Natural Hazards and Disaster Management > Causes of Famines > p. 83
Several references identify Africa β especially the Sahel and countries like Sudan, Somalia and Ethiopia β as repeatedly vulnerable to famine and drought.
Useful for geography and contemporary affairs: helps frame questions on regional vulnerability, climate-driven hunger, and humanitarian response. Links to environment, international aid, and conflict topics. Study by comparing regional patterns and drivers across sources.
- Environment and Ecology, Majid Hussain (Access publishing 3rd ed.) > Chapter 8: Natural Hazards and Disaster Management > Causes of Famines > p. 83
- Environment and Ecology, Majid Hussain (Access publishing 3rd ed.) > Chapter 6: Environmental Degradation and Management > dESErtIfIcatIon or dESErtISatIon. > p. 17
References describe famine outcomes as widespread deaths from starvation, acute malnutrition, and associated epidemics, clarifying what constitutes a famine event.
Important for answering definition, impact and policy questions in GS papers and disaster management: distinguishes famine from food insecurity and links health outcomes to socioβpolitical causes. Practice by applying definitions to case studies and examining metrics and thresholds used in assessments.
- Economics, Class IX . NCERT(Revised ed 2025) > Chapter 4: Food Security in India > Why food security? > p. 43
- Economics, Class IX . NCERT(Revised ed 2025) > Chapter 4: Food Security in India > Why food security? > p. 42
- Rajiv Ahir. A Brief History of Modern India (2019 ed.). SPECTRUM. > Chapter 23: Quit India Movement, Demand for Pakistan, and the INA > Famine of 1943 > p. 453
Several references define famine and describe its key indicator β widespread deaths due to starvation and severe food shortage.
High-yield concept for UPSC: knowing formal/operational indicators of famine (mortality, acute malnutrition, food insecurity) helps evaluate claims about crises and distinguish famine from food shortage or malnutrition. Connects to disaster management, food security, public health and policy response questions.
- Economics, Class IX . NCERT(Revised ed 2025) > Chapter 4: Food Security in India > Why food security? > p. 42
- Economics, Class IX . NCERT(Revised ed 2025) > Chapter 4: Food Security in India > Why food security? > p. 43
The 'Four Famines' Alert (2017): The UN issued a historic appeal for Yemen, South Sudan, Somalia, and Northeast Nigeria. If Yemen appeared here, Nigeria (Boko Haram conflict) or Somalia (Al-Shabaab) are the logical next targets for similar questions.
Apply the 'Stability Filter'. Morocco and Tunisia (Option B) are middle-income tourist destinations, not famine zones. Zambia (Option A) is politically stable. Venezuela (Option C) had an economic crisis, but not an 'ethnic war' causing mass starvation deaths in 2018. Only Yemen and South Sudan (Option D) were active, high-intensity war zones.
Connects to GS-2 (International Institutions - Role of WFP/FAO) and GS-3 (Food Security). The failure of food systems in conflict zones is a prime example for essays on 'Human Security vs National Security'.