Data analysis plays a key role in addressing development challenges. At the same time, most of developing countries suffer from data availability and quality problem. In such instances, data collected from online sources can be used as a substitute for official statistics. This research, overcoming the data problem, investigates the wage-education relationship in Uzbekistan, where official bodies do not provide necessary statistics to analyze the problem. Instead, we use scraped data to estimate the effect of education on wages, when controlling for experience. We pursue statistical analysis for the country’s economy as a whole, as well as for 11 sectors separately. Obtained results fully coincide with the theoretical considerations and help to judge on the efficiency of the higher education system in Uzbekistan and people’s perceptions towards higher education decision.