diff --git a/pandas/arrays/__init__.py b/pandas/arrays/__init__.py
index b5c1c98da1c78..0b6583594fba1 100644
--- a/pandas/arrays/__init__.py
+++ b/pandas/arrays/__init__.py
@@ -4,6 +4,22 @@
 See :ref:`extending.extension-types` for more.
 """
 
+# Explanations for the ExtensionArrays listed below:
+#
+# ArrowExtensionArray: Wraps an Apache Arrow array for high-performance data handling.
+# ArrowStringArray:    A specific version for string data backed by Apache Arrow.
+# BooleanArray:        Stores boolean data (True, False) but with the ability to hold missing values (NA).
+# Categorical:         For data that belongs to a fixed, finite set of categories. Very memory efficient.
+# DatetimeArray:       Handles timezone-aware or timezone-naive date and time data.
+# FloatingArray:       For floating-point (decimal) numbers, with support for missing values.
+# IntegerArray:        For integer (whole) numbers, with support for missing values.
+# IntervalArray:       Stores data representing intervals or ranges (e.g., 1-5, 6-10).
+# NumpyExtensionArray: A wrapper around a standard NumPy array, for compatibility within the extension system.
+# PeriodArray:         For data representing regular time periods (e.g., months, quarters, years).
+# SparseArray:         Memory-efficient array for data that is mostly zero or NA.
+# StringArray:         Dedicated array for handling string data, with support for missing values.
+# TimedeltaArray:      For data representing durations or differences in time (e.g., 2 days, 5 hours).
+
 from pandas.core.arrays import (
     ArrowExtensionArray,
     ArrowStringArray,