This paper assesses the effectiveness of Skill, Self-Employment and SocioEconomic Support (SSS) programmes launched in various parts of Uttar Pradesh from 2015 to 2024. The study uses secondary data from the Directorate of Employment and Training, MSME census, NSSO and administrative databases from 75 districts and uses multiple regression analysis, Difference-in-Differences (DiD) estimation and time-series decomposition to measure employment outcomes. The results show that beneficiaries who participated in the SSS programs had a 14.7 percentagepoint higher wage employment rate and a 9.3 percentage-point higher selfemployment rate, which were both statistically significant at the 1% level (p < 0.01). But there are gender, geographic and sector differences. There is considerable variation in programme uptake and quality of outcomes at the district level. Policy recommendations include institutional convergence, tracking of infrastructure, and district-specific calibration of training curricula.