This municipality has experienced contour changes since 2013 :
19/11/2015 – Roquestéron-Grasse devient La Roque-en-Provence.
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
40
49
72
64
69
73
75
89
94
Principal residences
24
26
26
30
36
31
37
37
30
Second dwellings and occasional dwellings
13
21
36
34
24
35
29
46
40
Vacant accommodations
3
2
10
0
9
7
9
6
24
(*) 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
49,6
41,6
31,8
Second dwellings and occasional dwellings
38,4
51,7
42,6
Vacant dwellings
11,9
6,7
25,6
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
75
100,0
89
100,0
94
100,0
Houses
54
72,1
71
79,8
81
85,9
Flats
21
27,9
15
16,9
11
11,9
Others
0
0,0
3
3,4
2
2,2
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
–0
–0,6
–7
–8,0
due to the household size effect
1
1,3
–2
–2,4
due to the demographic effect
–1
–1,9
–5
–5,6
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
37
100,0
37
100,0
30
100,0
1 room
0
0,0
1
2,7
5
17,2
2 rooms
5
13,5
5
13,5
2
6,9
3 rooms
16
43,2
12
32,4
7
24,1
4 rooms
9
24,3
12
32,4
9
31,0
5 rooms or above
7
18,9
7
18,9
6
20,7
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
3,6
3,7
3,6
House
3,8
3,9
3,9
Flat
2,9
2,6
2,8
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
33,3
0,0
16,7
Moderate over-occupation
0,0
14,3
0,0
Severe over-occupation
0,0
14,3
33,3
Moderate under-occupation
22,2
42,9
16,7
Severe under-occupation
33,3
14,3
33,3
Very severe under-occupation
11,1
14,3
0,0
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
29
100,0
Before 1919
7
25,0
From 1919 to 1945
3
10,7
From 1946 to 1970
2
7,1
From 1971 to 1990
8
28,6
From 1991 to 2005
2
7,1
From 2006 to 2019
6
21,4
Source : Insee, RP2022 main operation, geography as of 01/01/2025.
