In hilly areas and plain areas, professional households raise on a moderate scale. It provides about 19% of the commercial pigs and plays a major regulatory role in Sichuan's pig industry. The main scenarios and parameters of this pig raising scenario are: (1) 50% energy feed is mainly corn in the province, and protein feed is mainly concentrated feed; The other 50% feed is purchased at full price. The average weight was 80kg during 160 days of feeding. (2) The number of pigs raised by professional households fluctuates greatly with market changes, and the average number of pigs raised in this study is assumed to be 100 / year. 70% of the breeds are foreign two-hybrid pigs (cross-bred offspring between the two lines), the slaughter rate is 75%, 30% are foreign three-yuan (such as DLY), the slaughter rate is 76%, the whole feed meat ratio is 3.2:1; ③ Feeding management: pay more attention to the rational preparation of feed, but the environmental management is poor; (4) Waste treatment and utilization: Without treatment,40% is returned to the field (long-term storage accounts for 8%),60% is discharged to the surrounding environment, and the COD of the discharged water is 400mg/L. The data should be used cautiously within the context of environmental assessment of pig production, considering the methodological choices and boundaries such as exclusion of pig slaughtering, processing, and transportation stages. Note that the data does not consider the life cycle impacts of pig farming equipment, machinery, and buildings, nor does it take into account less significant materials or pollutants like pharmaceuticals, with the exclusion of fishmeal and amino acid production. When using the data for LCA or scenario analysis, multiple sources and deviation handling mechanisms are in place to ensure data quality. Particular attention should be paid to waste discharge data and emissions estimates, adjusted based on empirical and expert validation to represent the region accurately. The functional unit '1kg pig carcass' includes skin, bone, and fat, aligning with local consumption patterns, and should be properly applied in impact assessments.