The World in Numbers, From the South Outward
A Year Measured From the South
For most of the post-war era, "world in numbers" pages were drawn from Washington, London or Paris. In 2026, that vantage point no longer works. The engines of growth sit in Lagos, Jakarta, São Paulo and Delhi. Debt crises incubate in Nairobi and Islamabad. New payment systems are trialled in Moscow, Riyadh and Shanghai.
This issue takes a different approach. The world is counted from the Global South outward, using 20 core economies as the spine: Nigeria, South Africa, Egypt, Ethiopia, Kenya; India, China, Russia, Indonesia, Pakistan, Bangladesh, Vietnam, Türkiye, Saudi Arabia, Iran, UAE; Brazil, Mexico, Argentina, Chile.
Across them, we track six sets of numbers: growth, debt, demography, climate, labour and commodities. They define who has room to manoeuvre in 2026—and who is already boxed in.
1. Growth & Gravity: Where Output is Made
The first shift is simple arithmetic. By 2026, emerging and developing economies account for well over half of global GDP in purchasing-power terms. The IMF projects global growth at 3.1% for 2026, below the historical average of 3.7%. But that headline masks a fundamental split: growth is Southern, stagnation is Northern.
Within the Meridian core-20, the pattern is stark. A cluster of high-growth anchors—India (6.4%), Vietnam (6–7%), Indonesia (4.5–5.5%)—post real growth rates two to three times the global average. India alone, now the world's fourth-largest economy at $4.5 trillion, adds economic mass equivalent to a medium-sized European nation every two years.
| Country | 2026 Growth Band | Status | Key Driver |
|---|---|---|---|
| India | 6–7%+ | High performer | Domestic demand, services, infrastructure |
| Vietnam | 6–7% | High performer | Manufacturing FDI, exports, young workforce |
| Indonesia | 4.5–5.5% | Mid-high performer | Commodity wealth, diversification, demographics |
| Bangladesh | 5–6% | Mid performer | Garments, remittances, labour absorption |
| Kenya | 4–5% | Mid performer | Services hub, agriculture, tech sector |
| Ethiopia | Mid-high (post-conflict) | Volatile recovery | Peace dividend, agriculture, diaspora |
| China | 3.5–4.5% | Slowing giant | Structural headwinds, property crisis |
| Türkiye | 3–4.5% | Constrained | Policy volatility, inflation drag |
| Saudi Arabia | Oil-linked, volatile | Commodity dependent | OPEC cuts, Vision 2030 projects |
| Brazil | 2–3% | Moderate | Commodities, domestic consumption |
| Mexico | 2–3% | Moderate | Nearshoring, US trade linkage |
| Russia | 1.5–3% | War-distorted | Military production, sanctions drag |
| Pakistan | 2–3.5% | Crisis mode | IMF programme, political instability |
| Nigeria | 2.5–3.5% | Underperforming | Oil dependency, insecurity, weak revenue |
| Egypt | 2–3.5% | Constrained | FX crisis, IMF corridor, debt burden |
| South Africa | 1–2% | Stagnant | Eskom crisis, structural constraints |
| Argentina | Low/volatile | Boom-bust cycle | Stabilisation attempt, chronic fragility |
Commodity-heavy giants—Brazil, Saudi Arabia, Russia, Nigeria—sit in a precarious middle. Growth depends less on productivity gains than on oil at $66 per barrel, grain prices set in Chicago, and Chinese demand for iron ore. When those variables move, budgets crack and currencies wobble.
At the bottom, a cluster of strugglers—South Africa (1–2%), Argentina (volatile, low), Pakistan (2–3.5%)—post growth rates too low to out-run debt service or create jobs for expanding working-age populations. These are economies stuck in what development economists call the "muddling equilibrium": not collapsing, not thriving, slowly falling further behind.
2. Debt, Defaults and the Price of Capital
Beneath the growth numbers sits the harsher table: who owes what, to whom, and in which currency. The debt landscape of the Global South in 2026 is not uniform—it is tiered, ruthlessly so.
Argentina owes the IMF more than the next seven borrowers combined—over $43 billion as of October 2025. Pakistan, Egypt, Kenya and Bangladesh each owe between $6-8 billion to the Fund. These are not abstract figures. They represent delayed infrastructure, squeezed health budgets, frozen teacher recruitment and tax protests in the streets.
| Country | Debt Direction | External Risk Assessment | Critical Vulnerabilities |
|---|---|---|---|
| Argentina | High; restructuring cycles | RED | Chronic external fragility, IMF dependence, peso instability |
| Egypt | Drifting up; very high ratio | RED | FX crises, food import bill, Suez dependency |
| Pakistan | Drifting up; fragile | RED | External stress, reserves critically low, political instability |
| Nigeria | Drifting up; revenue very weak | AMBER-RED | Oil revenue collapse, security costs, subsidy burden |
| Türkiye | Drifting up; FX vulnerabilities | AMBER-RED | External financing risk, inflation, unorthodox policy |
| Ethiopia | Drifting up; restructuring legacy | AMBER-RED | Conflict costs, donor withdrawal, debt restructuring |
| Kenya | Drifting up; infrastructure-heavy | AMBER | Eurobond rollovers, protest risk, climate shocks |
| Bangladesh | Drifting up from low base | AMBER | Export concentration, FX pressure, climate exposure |
| South Africa | Drifting up from high level | AMBER | Eskom bailouts, growth weakness, political uncertainty |
| China | Drifting up | AMBER | Property sector, local govt debt, shadow banking |
| Russia | Broadly stable | AMBER | Sanctions, capital controls, war financing |
| Brazil | High but stable | GREEN-AMBER | Domestic-currency debt, fiscal rules, commodity link |
| India | Stable; slight drift | GREEN-AMBER | Strong reserves offset by oil import bill |
| Indonesia | Mostly stable | GREEN | Diversified financing, commodity cushion |
| Vietnam | Stable; manageable | GREEN | Export engine, FDI inflows, manufacturing base |
| Mexico | Broadly stable | GREEN | Nearshoring benefits, US trade linkage |
| UAE | Stable; strong balance sheet | GREEN | Surplus, safe-haven status, diversification |
| Saudi Arabia | Mostly stable; oil-backed | GREEN | Strong external buffers, sovereign wealth |
For finance ministries, 2026 is less about new borrowing than about rolling over old mistakes. The "maturity wall" for Eurobonds and syndicated loans falls hardest on frontier and lower-middle-income issuers that borrowed freely during the era of near-zero rates. Kenya faces $2 billion in Eurobond maturities. Egypt must refinance over $25 billion in external obligations. Pakistan's reserves barely cover two months of imports.
These numbers will matter throughout this issue: in the Risk Map, in the IMF corridors calendar, in the Markets & Money briefing. Debt is not an abstract ratio. It is the gap between what hospitals need and what treasuries can afford. It is the difference between "planned" and "postponed."
3. People, Age and the Labour Wave
Demography is where the Global South's numerical advantage is stark—and where its vulnerability sits heaviest.
In 2026, Nigeria's median age is 18.1 years. Ethiopia's is 19.5. Kenya's is 20.1. Pakistan sits at 22.8. These are nations where half the population has never known a world without smartphones, and where youth unemployment sits between 15% and 30%. India, at median age 28.4, adds roughly 10 million people to its labour force each year. Bangladesh, despite rapid industrialisation, still absorbs much of its workforce into the informal sector.
| Country | Median Age (2024) | Youth Demographic | Labour Market Status |
|---|---|---|---|
| Niger | 15.2 | Youngest globally | — |
| Uganda | 16.7 | Extreme youth bulge | — |
| Angola | 16.7 | Post-conflict youth cohort | — |
| Nigeria | 18.1 | Massive jobs gap | Falling behind – unemployment crisis |
| Kenya | 20.1 | Urban youth pressure | Falling behind – protest generation |
| Ethiopia | 19.5 | Huge youth cohort | Falling behind – conflict disruption |
| Pakistan | 22.8 | Bulge entering workforce | Falling behind – chronic underemployment |
| Egypt | 24.6 | Youth unemployment strain | Falling behind – formal jobs scarce |
| Bangladesh | 27.6 | Garment-sector dependent | Holding – large informal absorption |
| India | 28.4 | Demographic dividend window | Falling behind – youth jobs lag growth |
| Vietnam | 32.5 | Labour force expanding | Catching up – manufacturing absorbs labour |
| Indonesia | 29.7 | Youth still significant share | Catching up – industry & services growing |
| Brazil | 35.2 | Ageing begins | Holding – formal jobs slowly recover |
| China | 38.4 | Rapid ageing | Holding – tight urban labour market |
| Russia | 39.6 | Shrinking workforce | Holding – war-distorted, migrant-dependent |
The numbers cut both ways. Youth bulges can become engines of entrepreneurship and innovation where education, infrastructure and finance work. East Asia demonstrated this between 1970 and 2000. Vietnam and Bangladesh are attempting it now. But without those conditions, youth cohorts generate unemployment, informal work, political volatility and pressure to migrate. Nigeria produces 3-4 million new job-seekers each year; its formal economy creates perhaps 200,000 positions.
In contrast, China (median age 38.4), Russia (39.6), and much of the Gulf are already confronting shrinking cohorts and heavy dependence on migrant labour. China's working-age population has been declining since 2015. Russia's demographic crisis, worsened by war casualties and emigration, is forcing reliance on Central Asian migrants to staff factories and construction sites. South Korea (median age 43.7) and Japan (48.4) sit well outside our core-20, but their experience—ageing without wealth—looms over middle-income countries that fail to capture their demographic dividend.
4. Climate, Loss and the Infrastructure Gap
Climate breakdown is now visible in the numbers, not just the weather. For many of the core-20, extreme events routinely impose losses worth multiple percentage points of GDP in a single year.
The data is brutal. In a worse-than-average year, natural disasters cost high-income countries 0.6% of GDP. For low-income countries, the figure is 11.3%—nearly twenty times higher. Research published in Nature Communications (2023) estimates that climate change-attributed economic costs from extreme weather vary between 0.05% to 0.82% of global GDP annually, with $143 billion per year directly attributable to climate change impacts.
| Country | Climate-Loss Intensity | Primary Hazards | Recent Major Events |
|---|---|---|---|
| Bangladesh | HIGH | Cyclones, floods, salinisation | 2024 monsoon floods; 2023 Cyclone Mocha |
| Pakistan | HIGH | Floods, heatwaves, glacier melt | 2022 superfloods (33 million affected, $30bn loss) |
| Nigeria | HIGH | Floods, heat, coastal erosion | 2024 flood season; Lagos coastal vulnerability |
| Egypt | HIGH | Nile variability, heat, water stress | GERD upstream impacts; Nile Delta subsidence |
| Ethiopia | HIGH | Drought, food insecurity | 2023-24 Horn of Africa drought |
| Kenya | HIGH | Drought-flood volatility | 2023 floods after 5-season drought |
| Brazil | HIGH | Amazon fires, drought, floods | 2024 Amazon drought; Rio Grande do Sul floods |
| India | HIGH | Heat, floods, crop losses | 2024 heatwaves; monsoon variability |
| Saudi Arabia | HIGH | Extreme heat, water scarcity | Gulf wet-bulb temperatures approaching human limits |
| UAE | HIGH | Extreme heat, water stress | April 2024 flash floods ($7bn damage) |
| Iran | HIGH | Drought, heat, water crises | Multi-year drought; Lake Urmia desiccation |
| Indonesia | MEDIUM-HIGH | Floods, sea-level rise, heat | Jakarta sinking; relocation to Nusantara |
| South Africa | MEDIUM-HIGH | Drought, floods | Cape Town water crisis pattern |
| Mexico | MEDIUM-HIGH | Storms, drought | Hurricane Otis 2023 ($15bn, Acapulco) |
| China | MEDIUM | Heat, floods, coastal risk | 2024 seasonal floods ($31bn); Yangtze variability |
| Vietnam | MEDIUM | Typhoons, coastal floods | Mekong Delta subsidence; typhoon season impacts |
| Türkiye | MEDIUM | Earthquakes, heat, water stress | 2023 earthquake ($100bn+); chronic water stress |
| Argentina | MEDIUM | Drought episodes | 2023 agricultural drought; Paraná River lows |
Infrastructure losses—washed-out roads, destroyed bridges, damaged grids—represent recurring capital destruction that is not matched by reconstruction funds. The UNEP Adaptation Gap Report consistently shows that adaptation finance actually received in the Global South is a fraction of assessed need. For 2030, developing countries need an estimated $215-387 billion annually for climate adaptation; they currently receive perhaps $21 billion.
This issue's Climate & Economic Resilience outlook will show this in detail. The "world in numbers" perspective is simpler: many Global South economies are net savers in emissions (sub-Saharan Africa produces ~3% of global CO₂) but net losers in climate damage. The ledger is structurally unfair, and 2026 will not correct it.
5. Wages, Work and the Cost of Living
Beneath GDP and debt tables live everyday questions: How many hours of work buy a basic basket of food? What does a bus fare, a bag of rice or a tin of tuna represent in labour time? How much of a monthly wage is eaten by rent and transport before anything else?
The Meridian approaches this with two lenses. First, standard macro indicators—unemployment, inflation, minimum wages, informal-sector share. Second, purchasing-power metrics grounded in daily life—including the forthcoming Tin Tuna Index, which measures how long a worker on typical wages must labour to afford a simple protein staple in different countries.
| Country | Jobs Pressure Status | Inequality Trend | Key Labour Market Features |
|---|---|---|---|
| South Africa | Falling behind | Widening / extremely high | 32% unemployment; world's highest Gini coefficient |
| Nigeria | Falling behind | Widening | Massive formal jobs gap; 70%+ informal sector |
| Egypt | Falling behind | Widening / regressive | Youth unemployment 20%+; inflation erodes wages |
| Kenya | Falling behind | Widening | 2024 protests driven by jobs & taxes |
| Ethiopia | Falling behind | Widening / fragile | Conflict disruption; huge entering cohort |
| Pakistan | Falling behind | Widening | Chronic underemployment; brain drain |
| Argentina | Falling behind | Widening / boom-bust | Informal majority; currency instability |
| Iran | Falling behind | Widening / entrenched | Sanctions hit formal employment; youth unemployment high |
| India | Falling behind | Widening – top concentration | Growth not creating quality jobs at scale |
| Bangladesh | Holding | Widening at the top | Large informal absorption; garment sector anchor |
| China | Holding | Stable / widening at top | Urban jobs tight but manageable; rural-urban divide |
| Russia | Holding | Stable / unequal | War-distorted; migrant-dependent |
| Türkiye | Holding / under pressure | Widening | Inflation erodes real wages; refugee absorption |
| Brazil | Holding | Slight narrowing | Formal jobs slowly recover; social policies help |
| Mexico | Holding | Stable / high but flat | Manufacturing & services anchor; remittances support |
| Saudi Arabia | Holding | Stable / high top wealth | Citizen jobs policy focus; migrant workforce majority |
| UAE | Holding | Stable / segmented | Migrant-heavy labour; nationals privileged |
| Vietnam | Catching up | Stable / mild narrowing | Manufacturing absorbs labour; FDI creates jobs |
| Indonesia | Catching up | Largely stable | Industry & services absorbing youth cohort |
The statistics show a pattern: even where nominal wages are rising, housing, food, education and transport often rise faster, squeezing real living standards and fuelling discontent. Protests in Kenya (2024), Nigeria (2024), Pakistan (2022-24) and Argentina (ongoing) have been nominally about tax, fuel subsidies or IMF conditions—but they are felt through the price of bread, cooking oil and school fees.
In Kenya, the government attempted to impose new taxes in June 2024 to meet IMF fiscal targets. Youth-led protests forced a u-turn. In Nigeria, removal of fuel subsidies in 2023 triggered inflation that hit 30%, devastating household budgets. In Pakistan, electricity tariffs doubled under IMF-mandated reforms, sparking widespread civil disobedience. These are not "economic" protests divorced from politics. They are expressions of a simple arithmetic: monthly income minus monthly survival costs equals negative.
6. Commodities, Energy and Strategic Materials
Many of the core-20 are not just consumers of commodities—they are producers that anchor the world's material flows. This gives them negotiating power that often exceeds their formal diplomatic weight.
| Country | Primary Commodities | Strategic Significance | Vulnerability |
|---|---|---|---|
| Saudi Arabia | Oil (10-11% global supply) | OPEC+ swing producer | Energy transition risk |
| Russia | Oil, gas, wheat, nickel, palladium | Energy leverage (Europe); grain exports | Sanctions, market access |
| Nigeria | Oil (~2% global supply) | Africa's largest producer | Theft, underinvestment, FX dependence |
| Iran | Oil, gas (under sanctions) | Strait of Hormuz; potential supply if sanctions lift | Sanctions isolation |
| UAE | Oil, gas | OPEC member; refining hub | Energy transition, competition |
| Brazil | Soybeans, iron ore, beef, coffee | Agricultural powerhouse; feeds China | Amazon deforestation politics |
| Argentina | Soybeans, wheat, lithium | Lithium triangle; agricultural exporter | Policy volatility, infrastructure |
| Chile | Copper (~25% global supply), lithium | Battery metals critical for EVs | Water stress, mining conflicts |
| Indonesia | Nickel, coal, palm oil, tin | Battery-grade nickel (>40% global); downstream processing push | Environmental costs, governance |
| South Africa | Platinum group metals, gold, coal | 90% global platinum; catalysts, fuel cells | Eskom crisis hits mining |
| China | Rare earths (60% production), steel | Monopoly on processing; tech supply chains | Geopolitical weaponisation risk |
The numbers here answer three questions. First, who depends on commodity exports to balance their external accounts? Nigeria earns 85% of export revenue from oil. Saudi Arabia, despite Vision 2030 diversification efforts, remains structurally oil-dependent. Russia's wheat and energy exports keep the current account in surplus despite sanctions.
Second, who is exposed to volatile import bills for food and fuel? Egypt imports 80% of its wheat, making it acutely vulnerable to Black Sea disruptions. Pakistan's energy import bill swings wildly with oil prices, destabilising the rupee. Bangladesh imports all its energy and most industrial inputs.
Third, who controls strategic materials needed for batteries, grids and renewables? Indonesia produces over 40% of the world's battery-grade nickel and is aggressively moving up the value chain, banning raw nickel exports to force domestic processing. Chile and Argentina sit atop the "lithium triangle." China processes 60% of global lithium, 70% of cobalt, and nearly all rare earth elements—giving it chokepoint control over the energy transition.
Later features on commodities, energy transition and food security will build on these statistics. The headline insight is that control over a few key materials—lithium, cobalt, nickel, rare earths, wheat, gas—now buys negotiating power that often exceeds formal diplomatic weight. When Indonesia banned nickel ore exports, global battery supply chains scrambled. When Russia and Ukraine's grain exports were disrupted in 2022, bread prices spiked from Cairo to Colombo. These are not "market dynamics." They are geopolitical leverage, measured in tonnes.
How to Read the World Ahead From These Numbers
This opening feature does not aim to predict 2026. It does three more modest things.
First, it fixes a vantage point. Every chart and table in this issue is built from the Global South outward, not the other way round. That means starting with the countries where most people live, most growth occurs, and most climate damage lands—not with the countries where most capital is managed.
Second, it anchors the other pieces. The risk map, the watchlist, the Tin Tuna Index, the election calendar and the decision toolbox all draw on the same underlying data presented here. They are not separate stories. They are different cuts through the same reality: a world economy that is Southern in its demography, mixed in its growth, fragile in its debt, unequal in its labour outcomes, and viciously exposed to climate shocks.
Third, it makes trade-offs visible. Growth vs. debt. Wages vs. prices. Climate damage vs. adaptation finance. Youth cohorts vs. job creation. These are not slogans. They are ratios. They are the maths that development ministers wake up to each morning, staring at budget ceilings and bond yields and knowing that choices made in Washington, Brussels or Beijing will often matter more than choices made at home.
In a world crowded with dashboards and rankings, The Meridian World in Numbers 2026 is a map, not a verdict. The rest of this edition walks that map, fault line by fault line.
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