The　variation　characteristics　of　the　number　of　livestock　in　Hohhot　for　the　past　30　years　were　studied　to　determine　the　main　factors　affecting　the　number　of　livestock　and　realize　the　rapid　and　sustainable　development　of　animal　husbandry.　The　correlation　among　livestock,　climate,　and　socio-economic　factors　in　Hohhot　was　determined　by　a　correlation　analysis　method.　Moreover,　the　quantitative　relationship　among　livestock,　climate,　and　socio-economic　factors　in　Hohhot　was　determined　by　the　regression　analysis　method.　Results　corroborate　that　the　number　of　cattle　and　sheep　increased　as　a　whole,　whereas　the　number　of　horses,　donkeys,　and　mules　decreased　gradually　from　1996　onwards.　In　addition,　the　number　of　pigs　increased　from　1986　to　1999,　decreased　from　1999　to　2004,　and　slightly　increased　after　2004　and　2007.　The　correlation　analysis　results　affirm　that　the　number　of　cattle　and　horses　was　significantly　correlated　with　air　temperature,　hours　of　sunshine,　gross　domestic　product　(GDP),　population,　sown　area　of　crop,　and　grain　yield　(　P＜0.01).　The　number　of　sheep　was　significantly　correlated　with　GDP,　population,　sown　area　of　crop,　grain　yield　(P＜0.01),　and　air　temperature　(P＜0.05),　and　has　a　significant　negative　correlation　with　hours　of　sunshine.　Furthermore,　the　number　of　pigs　was　significantly　correlated　with　air　temperature,　population,　sown　area　of　crop,　and　grain　yield　(P＜0.01).　The　number　of　donkeys　was　significantly　correlated　with　sown　area　of　crop　(P＜0.01),　air　temperature,　and　grain　yield　(P　＜　0.05),　and　the　number　of　mules　was　only　significantly　correlated　with　GDP　(P＜0.01).　Meanwhile,　the　regression　analysis　results　contend　that　the　effect　of　socio-economic　factors　on　the　variation　characteristics　of　the　number　of　livestock　in　Hohhot　was　greater　than　that　of　climate　factors.　Ultimately,　the　results　could　provide　a　scientific　basis　for　environmental　pollution　control,　development　planning　of　animal　husbandry,　and　regional　economic　structural　readjustment.