Based on World Bank PIP Methodology โ Growth-Inequality-Poverty Triangle Model
๐ฎ Predictor
๐บ๏ธ Country Analysis
๐ Scenario Simulator
๐ Methodology
๐ Global Data
๐ฅ Input Parameters
2021 PPP-adjusted
At $3.00/day line
0=perfect equality
Negative = reducing inequality
Climate & Shock Adjustments
GDP loss from climate events
0=none, 1=severe
0=stable, 1=active conflict
๐ Prediction Results
๐ Poverty Trajectory
๐บ๏ธ Country Poverty Profile Comparison
Select countries to compare their poverty indicators side by side.
๐ Poverty Decomposition โ Growth vs Inequality Effect
The World Bank decomposes poverty changes into a growth component (rising incomes lift people out) and a redistribution component (changing inequality shifts who benefits). This engine calculates both.
๐ญ What-If Scenario Simulator
Compare how different policy choices affect poverty outcomes for the same country.
โ Optimistic Scenario
โ๏ธ Baseline Scenario
โ ๏ธ Pessimistic Scenario
๐ World Bank Poverty Calculation โ Full Methodology
International Poverty Lines (2021 PPP, June 2025 Update)
Line
2017 PPP
2021 PPP (Current)
Applies To
Extreme Poverty
$2.15/day
$3.00/day
All countries
Lower-Middle Income
$3.65/day
$4.20/day
LMICs (India, Bangladesh)
Upper-Middle Income
$6.85/day
$8.30/day
UMICs (Brazil, China)
Core Formulas Used in This Engine
1. Poverty Headcount Ratio (Pโ)
Pโ = (1/N) ร ฮฃ I(yแตข < z) where I(.) = 1 if individual's welfare is below poverty line z
2. Growth Elasticity of Poverty (GEP)
GEP = (% ฮ poverty rate) / (% ฮ GDP per capita) Typical range: 1.5 to 5.0 | Average for developing countries: ~3.0
Sources: World Bank PIP Methodology Handbook, Haughton & Khandker (2009),
Ravallion (2003), Chen & Ravallion (2004), Jolliffe et al. (2024), Foster et al. (2025).
Growth Elasticity of Poverty estimates from World Bank Open Knowledge Repository.
Climate and water scarcity adjustments based on IPCC AR6 and World Bank Climate & Development Reports.