This municipality has experienced contour changes since 2013 :
01/01/2023 – Le Monestier-du-Percy devient Monestier-du-Percy.
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
131
143
149
149
145
165
182
194
199
Principal residences
59
60
61
78
82
97
108
118
121
Second dwellings and occasional dwellings
44
75
72
64
60
57
50
75
59
Vacant accommodations
28
8
16
7
3
11
24
1
19
(*) 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
59,4
60,9
60,8
Second dwellings and occasional dwellings
27,6
38,6
29,8
Vacant dwellings
13,0
0,5
9,4
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
182
100,0
194
100,0
199
100,0
Houses
164
89,8
176
90,8
172
86,4
Flats
18
9,7
18
9,2
27
13,6
Others
1
0,5
0
0,0
0
0,0
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
10
5,3
3
1,7
due to the household size effect
6
3,3
5
2,7
due to the demographic effect
4
2,1
–2
–1,0
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
108
100,0
118
100,0
121
100,0
1 room
0
0,0
1
0,8
3
2,3
2 rooms
7
6,3
7
5,9
6
4,6
3 rooms
18
16,2
20
16,8
15
12,1
4 rooms
37
34,2
34
28,6
30
25,0
5 rooms or above
47
43,2
57
47,9
68
55,9
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
4,5
4,6
4,8
House
4,8
4,8
5,0
Flat
3,3
3,3
3,5
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
21,4
8,7
4,2
Moderate over-occupation
0,0
4,3
4,4
Severe over-occupation
0,0
0,0
0,0
Moderate under-occupation
14,3
17,4
24,9
Severe under-occupation
25,0
26,1
27,8
Very severe under-occupation
39,3
43,5
38,8
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
117
100,0
Before 1919
26
21,8
From 1919 to 1945
8
6,6
From 1946 to 1970
17
14,2
From 1971 to 1990
27
22,7
From 1991 to 2005
20
16,9
From 2006 to 2019
21
17,8
Source : Insee, RP2022 main operation, geography as of 01/01/2025.
