Explore Possible Futures. Quantify Uncertainty.

WORLDSIM simulates country futures to 2050. You set the scenario, the engine runs thousands of paths, and you see the full distribution of plausible outcomes.

Controllable Reproducible Synthetic environments
worldsimlab.com/explore Institutional-grade simulation engine
WorldSim Platform - Explore a Possible Future
What If...?

Simulate the Scenarios That Matter

What if oil stays at $150/barrel for two years?

Energy costs, inflation, household burden, and industrial competitiveness across 195 countries.

What if interest rates stay at 2% for five years?

Housing affordability, sovereign debt sustainability, and fiscal pressure dynamics.

What if inflation hits 8% across the Eurozone?

Real wages, rent affordability, cost of living, and migration flows.

What if unemployment doubles in Southern Europe?

Migration outflows, fiscal revenue collapse, crime rates, and demographic decline.

You can run any of these in WorldSim today - 10,000 trajectories, 30+ KPIs, 195 countries.

Capabilities

What WorldSim Enables

A simulation engine for institutions that need full probability distributions, not point forecasts.

Probabilistic Scenario Modelling

Run Better, Average, and Shock scenarios across 30+ KPIs. Every output is a probability distribution, not a point forecast.

Structural Coupling Rules

100+ active rules enforce causal relationships between variables. GDP shocks propagate to unemployment, migration, and fiscal pressure.

Monte Carlo Simulation

10,000+ simulated paths per scenario using two-piece lognormal and bounded-logit draws. Full P10/P50/P90 quantile outputs.

Personal Translation Layer

Translate macro outcomes into personal impacts: income projections, housing affordability, and job risk based on age, industry, and salary.

Comparison & Validation Engines

Compare any two scenarios side by side and validate simulation accuracy against historical actuals using backtesting metrics across all KPIs.

worldsimlab.com/drilldown/gdp
GDP per Capita Drilldown - WorldSim
Architecture

Built on a 7-Layer Simulation Architecture

Each simulation pass applies seven sequential layers, producing internally consistent probabilistic futures.

LAYER 0

Data & Canonical Storage

Ingest from OECD, World Bank, Eurostat, and IMF. Normalise into canonical country-metric observations.

LAYER 1

Baseline Forecast Engine

Generate P10/P50/P90 forecast distributions using damped trend models and sigma bands for each variable.

LAYER 2

Scenario Bias & Path Tilt

Apply user-defined scenario overlays (Better Than Expected, As Planned, or Shock) with configurable sigma shifts and persistence for all KPIs.

LAYER 3

Coupling Rules Engine

100+ structural rules. When GDP drops, the impact ripples through unemployment, migration, fiscal pressure, and energy systems automatically.

LAYER 4

Correlation Layer

Tilt-activated. User biases propagate to co-moving KPIs via per-country Spearman correlations plus 160+ academic theory overrides, applied as a mean-shift before sampling. Marginal-rule suppression prevents double-counting against coupling rules.

LAYER 5

Monte Carlo Simulation

10,000+ stochastic draws per scenario path using two-piece lognormal distributions. Produces full quantile fan charts.

LAYER 6

Personal Translation Layer

Translate macro country futures into personal outcomes (income, housing burden, job risk) based on age, industry, and salary profile.

worldsimlab.com/compare
WorldSim Comparison Engine
Institutional Risk & Rating Analytics

Sovereign risk, quantified

Every run produces a full institutional risk and rating layer, from the probability of adverse outcomes to an implied structural rating and composite scores benchmarked against the world.

Probabilities: likelihood of adverse outcomes
1

Probabilities

Likelihood of adverse outcomes. The share of simulated paths that hit recession, stagflation, or fiscal, sovereign, energy and housing stress by each horizon.

Sustainability: fiscal and debt sustainability
2

Sustainability

Fiscal and debt sustainability. The interest-growth differential, the debt-stabilising primary balance, gross financing needs, and the S2 ageing gap.

Rating: implied structural rating
3

Rating

Implied structural rating. A sovereign-rating equivalent scored on every path, giving a full rating distribution and the probability of investment grade, not a single notch.

Scores: composite structural scores
4

Scores

Composite structural scores. Seven scores from 0 to 100, from economic resilience to fiscal vulnerability and competitiveness, ranked against the world's economies.

Click any panel to view it full size.

Use Cases

Built for Institutions

WorldSim is for professionals who make decisions under structural uncertainty.

Data Foundation

Built on Institutional-Grade Data

WorldSim's database harmonises macroeconomic data from four primary institutional sources: World Bank, IMF, OECD, and Eurostat.

World Bank

World Bank

World Development Indicators: GDP, demographics, labour market, infrastructure, and development metrics.

IMF

International Monetary Fund

World Economic Outlook: fiscal indicators, government expenditure, revenue, public debt, and macroeconomic aggregates.

OECD

OECD

Tax, housing, energy, and labour statistics, including tax wedge calculations, price indices, and energy balances.

Eurostat

Eurostat

European statistical office: high-frequency socio-economic data, energy prices, migration, and demographic structure.

195
Countries & territories
2000 – 2025
Historical observation window
2025 – 2050
Forward simulation horizon

Start Exploring the Future Today

Built for research institutions, sovereign funds, and policy teams. Model structural country futures with full probability distributions.