This　study　investigates　the　turbulent　two-phase　dispersion　of　toluene-water　in　micro-impinging　jet　(MIJ)　mixers　using　both　experimental　and　numerical　methods.　We　employ　computational　fluid　dynamics　combined　with　the　population　balance　model　(CFD-PBM)　to　predict　the　mean　droplet　size　(d32)　and　droplet　size　distribution　(DSD).　The　numerical　predictions　align　well　with　the　experimental　results.　The　liquid-liquid　dispersion　in　the　MIJ　mixer　is　a　two-step　process,　each　step　governed　by　the　velocity　ratio　(r)　and　Reynolds　number　(Rej),　respectively.　By　increasing　the　volume　flow　rate　(Q)　and　r,　or　by　reducing　the　diameter　of　the　outlet　orifice　of　mixing　chamber　(Do),　the　dispersion　process　can　be　intensified.　This　leads　to　the　production　of　smaller　droplets　with　a　narrow　DSD　within　a　millisecond　timeframe.　Additionally,　we　propose　a　correlation　for　d32　that　accurately　describes　the　two-step　dispersion　process　of　the　mixer,　providing　a　reliable　guide　for　the　design　and　optimization　of　liquid-liquid　systems.