[Python] Why is my code not appending into my dictionary a value under a key despite complying...

I'm sorting grades by number ranges and adding them to my dictionary keys. For some reason my code is ignoring value 68 altogether.

My code:

import numpy as np

exam_results = np.array(
[
42, 56, 59, 76, 43, 34, 62, 51, 50, 65,
66, 50, 46, 5, 79, 99, 51, 26, 35, 8,
34, 47, 64, 58, 61, 12, 30, 63, 20, 68
]
)

summarized_data = {'excellent': [],
'good': [],
'average': [],
'passable': [],
'failed': []
}

count = 0
for er in exam_results:
count += 1
if count < len(exam_results):
if er >= 90:
summarized_data["excellent"].append(int(er))
elif 70 <= er <= 89:
summarized_data["good"].append(int(er))
elif 50 <= er <= 69:
summarized_data["average"].append(int(er))
elif 20 <= er <= 49:
summarized_data["passable"].append(int(er))
else:
summarized_data["failed"].append(int(er))

for result in summarized_data:
print(result, '-', summarized_data[result])

print(np.sort(exam_results))


Result:

excellent - [99]
good - [76, 79]
average - [56, 59, 62, 51, 50, 65, 66, 50, 51, 64, 58, 61, 63]
passable - [42, 43, 34, 46, 26, 35, 34, 47, 30, 20]
failed - [5, 8, 12]
[ 5 8 12 20 26 30 34 34 35 42 43 46 47 50 50 51 51 56 58 59 61 62 63 64
65 66 68 76 79 99]


Expected result under "average":

average - [56, 59, 62, 51, 50, 65, 66, 50, 51, 64, 58, 61, 63, 68]

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