This municipality has experienced contour changes since 2013 :
01/01/2023 – Bono devient Le Bono.
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
578
631
768
855
934
1 173
1 317
1 424
1 585
Principal residences
517
521
597
667
746
927
1 017
1 089
1 238
Second dwellings and occasional dwellings
30
41
112
153
149
181
224
234
275
Vacant accommodations
31
69
59
35
39
65
76
101
71
(*) 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
77,2
76,5
78,2
Second dwellings and occasional dwellings
17,0
16,4
17,3
Vacant dwellings
5,7
7,1
4,5
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
1 317
100,0
1 424
100,0
1 585
100,0
Houses
1 131
85,9
1 188
83,4
1 348
85,1
Flats
183
13,9
233
16,3
234
14,8
Others
3
0,2
3
0,2
3
0,2
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
72
5,4
150
10,5
due to the household size effect
–16
–1,2
29
2,0
due to the demographic effect
87
6,6
121
8,5
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
1 017
100,0
1 089
100,0
1 238
100,0
1 room
6
0,6
3
0,3
4
0,3
2 rooms
82
8,1
82
7,5
88
7,1
3 rooms
164
16,1
159
14,6
162
13,1
4 rooms
224
22,0
236
21,7
258
20,9
5 rooms or above
542
53,2
608
55,9
726
58,6
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
4,6
4,7
4,8
House
4,9
5,1
5,1
Flat
2,6
2,9
2,7
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
15,1
15,3
12,2
Moderate over-occupation
1,2
0,9
0,4
Severe over-occupation
0,0
0,0
0,0
Moderate under-occupation
16,7
19,7
17,1
Severe under-occupation
25,9
23,6
20,6
Very severe under-occupation
41,0
40,6
49,7
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
1 161
100,0
Before 1919
54
4,6
From 1919 to 1945
90
7,7
From 1946 to 1970
165
14,2
From 1971 to 1990
256
22,1
From 1991 to 2005
281
24,2
From 2006 to 2019
315
27,2
Source : Insee, RP2022 main operation, geography as of 01/01/2025.
