Dataset · Tabular classification
nairobi-longitudinal-healthcare-utilization
Synthetic population data for predicting healthcare demand across time. A genuine balanced longitudinal panel: the same 10,000 synthetic Nairobi residents, tracked at 3 annual observation dates (2023-09-01 / 2024-09-01 / 2025-09-01 = Train / Validation / Test) — 30,000 person-period rows, 38 columns. Each row carries up to 24 months of prior health, insurance, household and employment history as of that date, plus what happened to that same person over the following 12 months. This links the same synthetic person across health, insurance, household, education and employment domains, over time — not a single disease table. Marketplace question: Who is most likely to use healthcare — or…