diff --git a/maths/average_mode.py b/maths/average_mode.py
new file mode 100644
index 000000000..c1a4b3521
--- /dev/null
+++ b/maths/average_mode.py
@@ -0,0 +1,31 @@
+import statistics
+
+
+def mode(input_list):  # Defining function "mode."
+    """This function returns the mode(Mode as in the measures of
+    central tendency) of the input data.
+
+    The input list may contain any Datastructure or any Datatype.
+
+    >>> input_list = [2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2]
+    >>> mode(input_list)
+    2
+    >>> input_list = [2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2]
+    >>> mode(input_list) == statistics.mode(input_list)
+    True
+    """
+    # Copying inputlist to check with the index number later.
+    check_list = input_list.copy()
+    result = list()  # Empty list to store the counts of elements in input_list
+    for x in input_list:
+        result.append(input_list.count(x))
+        input_list.remove(x)
+        y = max(result)  # Gets the maximum value in the result list.
+        # Returns the value with the maximum number of repetitions.
+        return check_list[result.index(y)]
+
+
+if __name__ == "__main__":
+    data = [2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2]
+    print(mode(data))
+    print(statistics.mode(data))