Measuring job-housing balance is an important part of job-housing related research, and the dataset applied in previous researches is expanded from survey and census data to LBS data. However, current research lacks comparative studies between different data sources. Beijing urban area is taken as an example to measure and analyze job-housing balance spatial-temporally from different aspects, using different kinds of LBS data, which including heatmap data, Point-of-interest data and Weibo-checkin data. This could provide decision-making reference to improve the job-housing balance. The authors compare the differences in the results of LBS data with the traditional population and economic census data, discusses the causes of the differences, and provides suggestions for further improving the research of LBS data in job-housing relations.