Objective: To describe the status and related factors of self-reported pain among working-age population in Inner Mongolia Autonomous Region (Inner Mongolia). Methods: A cross-sectional study was conducted. Data was from the Inner Mongolia fifth health services survey. SPSS 19.0 software package was used for data analysis and χ2 test was to compare the prevalence of self-reported pain in population with different characteristics. Unconditional logistic regression model was used to analyze the related factors on self-reported pain. Results: A total of 11 480 working-age population was involved in this survey, with prevalence of self-reported pain among working age population as 12.3%. The prevalence rates of moderate and severe pain were 11.6% and 0.7%, respectively. Results from the unconditional logistic regression analysis showed that, in the economically poor population, the risk of self-reported pain was 1.718 times of the relatively rich people (OR=1.718, 95%CI: 1.381-2.831). In the rural areas, the risk of self-reported pain was higher than that in the urban population (OR=2.506, 95%CI: 2.030-3.092) and people with chronic illnesses had 2.880 times higher risk than those who did not have the diseases (OR=2.880, 95% CI: 2.474-3.352). There was an interaction noticed between gender and age. Women at or above 45 years old were more likely to develop self-report pain (OR=1.300, 95% CI: 1.072-1.577). Again, factors as people who were current or former smokers, who were suffering from anxiety or depression, being skinny etc. appeared as independently related to the self-reported pain. Conclusion: In working age population of Inner Mongolia, a high prevalence of self-reported pain was seen. Data showed that people who were poor, age at 45 or older, having history of smoking, with chronic diseases and anxiety/depression were risk factors related to self-reported pain.