Fresh meat and fresh fish badly affected, constitute an excellent medium of culture, a ground favorable to the propagation and the multiplication of a multitude of microbial contaminations. They are considered as vehicles of many diseases in humans. Our study aimed to assess the microbiological quality of fresh meat and fresh fish placed on the KINSHASA markets, during the period from July 9, 2019 to December 2020, i.e. eighteen months. After prospective investigation and bacteriological analysis, the results showed that the fresh meat and fresh fish sold in our markets were really contaminated. The presumptive test revealed 56.6% positive samples out of the hundred percent of samples, including 43.3% total coliforms and 13.3% faecal coliforms. After culture, the results obtained indicate the presence of germs indicating hygienic quality, Pseudomonas (9.80%), Proteus vulgaris (13.7%), Streptococci (15.7%), and toxigenic germs (33, 3%). Which, Staphylococcus aureus (7.8%), salmonella (11.8%) and Escherichia coli (13.7%). Among the microbial germs found in fresh meat and fresh fish,. the most soiled in microorganisms is fresh fish (21.1%), followed by pork (20%), and the least contaminated, beef (15.5%). The NGABA roundabout market awoke more contaminated products (32.2%), compared to the freedom market 24.4%. In terms of the relationship between microbial germs and sales environments, we found a statistically significant relationship of coliforms (p=0.007) and sales next to garbage (waste), wooden tables (p=0.042), for however, no statistically significant relationship was found between germs and exposure of meat and fish to unwashed knives (p=0.313), sellers' clothes (p=0.884), dust and flies (p=0.097) at the same market. On the other hand, a statistically significant relationship was observed between microbial germs (coliforms) (p=0.003) and sale in the presence of flies (p=0.044), but no statistically significant relationship was found between germs and sale alongside garbage (p=0.683), unwashed knives (p=1.000), wooden tables (p=0.695), clothes sold (p=1.000) and dust (p=0.945).