Objective To investigate the present situation of noise hazard in industrial enterprises in Fuling District of Chongqing，analyze the hazard characteristics，and provide scientific basis for the prevention and control of occupational noise hazards in Fuling District. Methods Declaration data about the employers with occupational noise hazard up to the December 31，2019 were exported from the "occupational-disease-inductive project declaration system"， and the case cards of on-the-job occupational health examination in 2019 were exported from the "occupational-disease-inductive and occupational health information monitoring system". Relevant information was extracted and epidemiological characteristics were analyzed. Results A total of 268 enterprises with noise hazard were located in Fuling District， involving 11 494 people. The enterprises with noise hazard were mainly in the manufacturing industries（61.57%） of small（58.58%） and private economy（66.42%）. The workers exposed to noise were mostly found in the manufacturing industries（86.61%） of medium-sized（50.51%） and private economy（60.74%）. 201 enterprises conducted the occupational hazard tests in noise workplaces in 2019 and the over standard rate was 10.63%. The enterprises with a higher over standard rate were mainly in the small and medium-sized （11.95%， 11.46%） manufacturing industries （14.48%） of collective economy（50.00%）， and the differences were statistically significant（all P<0.05）. 8 276 people received the on-the-job occupational health examination for noise operation in 2019 and the abnormal rate of binaural average high frequency hearing threshold was 10.66%. People with higher abnormal rate were mainly male（12.87%） who were aged ≥40 years old（15.08%），exposure working age ≥30 years（18.07%） in private economy（13.66%）， mining industry（20.00%） and construction industry（20.59%），and the differences were statistically significant（all P<0.05）. Conclusion In Fuling District of Chongqing， the future occupational health work should focus on the noise occupational hazards of small and medium-sized private economy manufacturing industry，and strengthen the noise monitoring of mining industry and construction industry.