FedDHS-Synth is a federated differentially private framework that generates synthetic childhood vaccination survey data from Bangladesh and Pakistan DHS microdata without centralising sensitive records. Synthetic data retains 98.9% of downstream predictive utility while membership inference attacks confirm near-random privacy leakage (AUC 0.51), enabling privacy-preserving multi-country public health research in low-resource settings.