This municipality has experienced contour changes since 2013 :
01/01/2024 – Saint-Pompont devient Saint-Pompon.
In the case of a merger, when the geography of the source indicated under the table
/ graph is after the date of the merger, the data correspond to those of the new municipality.
tableauLOG T1 - Growth estimates of the number of housings by category since 1968
LOG T1 - Growth estimates of the number of housings by category since 1968
Housing category
1968(*)
1975(*)
1982
1990
1999
2006
2011
2016
2022
Altogether
214
220
272
285
306
316
318
330
345
Principal residences
159
150
159
160
171
182
191
198
194
Second dwellings and occasional dwellings
30
42
75
91
116
130
100
116
132
Vacant accommodations
25
28
38
34
19
4
28
16
18
(*) 1967 and 1974 for the overseas departments
Sources : Insee, RP1967 to RP1999 counts, RP2006 to RP2022 main holdings.
tableauLOG T1bis - Categories of housings
LOG T1bis - Categories of housings
Category of housing
2011
2016
2022
Principal residences
59,9
60,0
56,4
Second dwellings and occasional dwellings
31,3
35,3
38,4
Vacant dwellings
8,8
4,7
5,2
Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.
tableauLOG T2 - Types of housings
LOG T2 - Types of housings
Type of housing
2011
%
2016
%
2022
%
Altogether
318
100,0
330
100,0
345
100,0
Houses
311
97,8
325
98,4
329
95,5
Flats
5
1,6
4
1,3
5
1,4
Others
2
0,6
1
0,3
11
3,1
Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au
01/01/2025.
tableauLOG T2bis - Contributions to the change in the number of principal residences
LOG T2bis - Contributions to the change in the number of principal residences
Contributions
2011-2016
%
2016-2022
%
Total change
7
2,3
–4
–1,2
due to the household size effect
29
9,2
13
3,9
due to the demographic effect
–22
–6,9
–17
–5,1
Note: The change in the number of households (and therefore in the number of main
residences) can be broken down into two effects: the "household size effect" and the
"demographic effect."
Indeed, a decrease in average household size leads to an increased housing need, even
if the population remains stable. The remaining part of the change is referred to
as the demographic effect.
These effects can be either positive or negative.
Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au
01/01/2025.
tableauLOG T3 - Principal residences by number of rooms
LOG T3 - Principal residences by number of rooms
Number of rooms
2011
%
2016
%
2022
%
Altogether
191
100,0
198
100,0
194
100,0
1 room
3
1,6
0
0,0
2
1,0
2 rooms
14
7,4
13
6,4
14
7,2
3 rooms
29
15,3
32
16,0
37
19,3
4 rooms
66
34,4
58
29,4
56
28,8
5 rooms or above
79
41,3
95
48,1
85
43,8
Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.
tableauLOG T4 - Principal residences average number of rooms
LOG T4 - Principal residences average number of rooms
Type of main residence
2011
2016
2022
All main residences
4,4
4,7
4,5
House
4,4
4,7
4,5
Flat
3,2
4,3
3,2
Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.
tableauLOG T4bis - Dwelling occupancy index
LOG T4bis - Dwelling occupancy index
Occupancy index
2011
2016
2022
Standard occupancy
17,0
10,3
14,8
Moderate over-occupation
4,3
2,6
2,5
Severe over-occupation
0,0
2,6
0,0
Moderate under-occupation
25,5
20,5
15,0
Severe under-occupation
17,0
23,1
30,1
Very severe under-occupation
36,2
41,0
37,5
Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.
tableauLOG T5 - Principal residences in 2022 by completion period
LOG T5 - Principal residences in 2022 by completion period
Completion period
Number
%
Principal residences build before 2020
191
100,0
Before 1919
60
31,4
From 1919 to 1945
32
17,0
From 1946 to 1970
21
10,8
From 1971 to 1990
30
15,8
From 1991 to 2005
35
18,3
From 2006 to 2019
13
6,7
Source : Insee, RP2022 main operation, geography as of 01/01/2025.
