When planning a commercial layer farm, one of the most critical decisions is determining the appropriate housing space. The space requirement directly impacts bird welfare, egg production efficiency, and ventilation design. The required chicken house dimensions mainly depend on the number of laying hens, as well as the type of automatic raising system and supporting equipment.
Generally speaking, H-type layer cage systems are recommended for farms with more than 30,000 laying hens.
For the H-type stacked layer hen cage system, we follow the standard layout principle: 10,000 laying hens correspond to one row of cage equipment, 20,000 hens to two rows, 30,000 hens to three rows, and this proportional pattern continues accordingly. Specifically, the standard length of the chicken house is fixed at 105 meters, while the width varies in direct proportion to the number of cage rows—the size of the chicken house for 30,000 chickens is 105 meters × 9 meters; for 40,000 birds, it is 105m × 12m; and for 50,000 birds, the chicken house size is 105m × 15m.
And A-type layer cage systems are recommended for farms with below 30,000 laying hens.
For 10,000 laying hens, each cage set holds 160 birds, so 10,000 birds require 62.5 sets. Arranging all sets in one row would result in a total length of 125 meters, which exceeds the standard length limit for A-type chicken houses. For this reason, a two-row layout is adopted. The house width is 8 meters. We divide 62.5 sets evenly into two rows, approximately 31.25 sets per row, so we round up to 32 sets per row. The final house length is calculated as 32 sets × 2m per set plus 4m reserved space at both ends, reaching 68m. Therefore, the chicken house size for 10,000 layers is 68m × 8m. Similarly, for a case of raising 20,000 laying hens, we adopt a three-row layout and recommend a chicken house size of 88 meters × 12 meters.
Before building a farm, confirming the cage type, house width, length, and tier quantity can help you get an accurate space layout and avoid unnecessary land and investment waste.