This municipality has experienced contour changes since 2013 :
01/11/2013 – La fusion de Valdivienne avec Chapelle-Morthemer (86057) est transformé
en fusion simple.
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
908
893
972
1 049
1 211
1 367
1 417
1 498
1 567
Principal residences
663
671
732
776
929
1 058
1 120
1 193
1 246
Second dwellings and occasional dwellings
195
132
166
190
170
147
151
133
127
Vacant accommodations
50
90
74
83
112
162
147
172
194
(*) 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
79,0
79,7
79,5
Second dwellings and occasional dwellings
10,6
8,9
8,1
Vacant dwellings
10,3
11,5
12,4
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
1 417
100,0
1 498
100,0
1 567
100,0
Houses
1 372
96,8
1 461
97,6
1 521
97,1
Flats
42
3,0
29
1,9
25
1,6
Others
3
0,2
8
0,5
20
1,3
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
74
5,2
52
3,5
due to the household size effect
23
1,6
53
3,5
due to the demographic effect
51
3,6
–0
–0,0
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
1 120
100,0
1 193
100,0
1 246
100,0
1 room
3
0,3
3
0,3
14
1,2
2 rooms
45
4,0
52
4,4
43
3,5
3 rooms
166
14,8
140
11,7
154
12,4
4 rooms
338
30,2
324
27,2
367
29,5
5 rooms or above
568
50,7
674
56,5
667
53,5
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
4,8
4,7
House
4,7
4,8
4,8
Flat
3,2
3,3
3,0
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
11,6
11,7
10,8
Moderate over-occupation
1,4
0,8
2,8
Severe over-occupation
0,0
0,0
0,0
Moderate under-occupation
23,9
22,2
18,8
Severe under-occupation
29,8
27,6
27,6
Very severe under-occupation
33,3
37,7
40,0
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
1 206
100,0
Before 1919
270
22,4
From 1919 to 1945
137
11,4
From 1946 to 1970
138
11,4
From 1971 to 1990
236
19,6
From 1991 to 2005
228
18,9
From 2006 to 2019
197
16,4
Source : Insee, RP2022 main operation, geography as of 01/01/2025.
