Bars not fitting to X-axis ticks in a Seaborn distplot

I do generate that figure with seaborn.distplot(). My problem is that the ticks on the X-axis do not fit to the bars, in all cases. I would expect a relationship between bars and ticks like you can see at 11 and 15.

This is the MWE

import numpy as np
import pandas as pd
import seaborn as sns

# Data
np.random.seed(42)
n = 5000
df = pd.DataFrame({
    'PERSON': np.random.randint(100000, 999999, n),
    'Fruit': np.random.choice(['Banana', 'Strawberry'], n),
    'Age': np.random.randint(9, 18, n)
})

fig = sns.displot(
    data=df,
    x='Age',
    hue='Fruit',
    multiple='dodge').figure

fig.show() 

You need discrete=True to tell seaborn that the x values are discrete. Adding shrink=0.8 will leave some space between the bars.

import numpy as np
import pandas as pd
import seaborn as sns
from matplotlib import pyplot as plt

# Data
np.random.seed(42)
n = 5000
df = pd.DataFrame({
    'PERSON': np.random.randint(100000, 999999, n),
    'Fruit': np.random.choice(['Banana', 'Strawberry'], n),
    'Age': np.random.randint(9, 18, n)
})

sns.displot(
    data=df,
    x='Age',
    hue='Fruit',
    multiple='dodge',
    discrete=True,
    shrink=0.8)

plt.show()

. Note that sns.displot() is a figure-level function that creates a grid of one or more subplots, with a common legend outside. sns.countplot() is an axes-level function, that creates a single subplot with a legend inside.

An alternative is creating a countplot:

sns.countplot(
    data=df,
    x='Age',
    hue='Fruit',
    dodge=True
)