Partition hook lengths have wide-ranging applications in combinatorics, number theory, physics, and representation theory. We study two infinite families of random variables associated with t-hooks. For fixed $$t\ge 1,$$
t
≥
1
,
if $$Y_{t;\,n}$$
Y
t
;
n
counts the number of hooks of length t in a random integer partition of n, we prove a uniform local limit theorem for $$Y_{t;\,n}$$
Y
t
;
n
on any bounded set of $${\mathbb {R}}.$$
R
.
To achieve this, we establish an asymptotic formula with a power-saving error term for the number of partitions of n with m many t-hooks. In contrast, we define $${\widehat{Y}}_{t;\,n}$$
Y
^
t
;
n
as the count of hooks divisible by t in a randomly chosen partition of n. While $${\widehat{Y}}_{t;\,n}$$
Y
^
t
;
n
converges in distribution, we show that it fails to satisfy the local limit theorem for any $$t \ge 2$$
t
≥
2
. The proofs employ the multivariable saddle-point method, asymptotic formulas for the number of t-core partitions from Anderson and Lulov–Pittel, and estimates of certain exponential sums. Notably, for $$t=4,$$
t
=
4
,
the analysis involves the asymptotic behavior of class numbers of imaginary quadratic fields.