  The analysis of core-collapse supernova (CCSN) environments can provide
important information on the life cycle of massive stars and constrain the
progenitor properties of these powerful explosions. The MUSE instrument at the
VLT enables detailed local environment constraints of the progenitors of large
samples of CCSNe. Using a homogeneous SN sample from the ASAS-SN survey has
enabled us to perform a minimally biased statistical analysis of CCSN
environments. We analyze 111 galaxies observed by MUSE that hosted 112 CCSNe
detected or discovered by the ASAS-SN survey between 2014 and 2018. The
majority of the galaxies were observed by the the AMUSING survey. Here we
analyze the immediate environment around the SN locations and compare the
properties between the different CCSN types and their light curves. We used
stellar population synthesis and spectral fitting techniques to derive physical
parameters for all HII regions detected within each galaxy, including the star
formation rate (SFR), H$\alpha$ equivalent width (EW), oxygen abundance, and
extinction. We found that stripped-envelope (SE) SNe occur in environments with
a higher median SFR, H$\alpha$ EW, and oxygen abundances than SNe II and SNe
IIn/Ibn. The distributions of SNe II and IIn are very similar, indicating that
these events explode in similar environments. For the SESNe, SNe Ic have higher
median SFRs, H$\alpha$ EWs, and oxygen abundances than SNe Ib. SNe IIb have
environments with similar SFRs and H$\alpha$ EWs to SNe Ib, and similar oxygen
abundances to SNe Ic. We also show that the postmaximum decline rate, $s$, of
SNe II correlates with the H$\alpha$ EW, and that the luminosity and the
$\Delta m_{15}$ parameter of SESNe correlate with the oxygen abundance,
H$\alpha$ EW, and SFR at their environments. This suggests a connection between
the explosion mechanisms of these events to their environment properties.
