This municipality has experienced contour changes since 2013 :
08/11/2018 – Castellet devient Castellet-en-Luberon.
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
41
61
68
77
87
94
103
103
109
Principal residences
18
21
27
38
49
53
60
65
59
Second dwellings and occasional dwellings
19
35
34
29
34
33
30
36
31
Vacant accommodations
4
5
7
10
4
9
13
2
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
58,0
62,9
53,9
Second dwellings and occasional dwellings
29,3
35,1
28,6
Vacant dwellings
12,7
2,0
17,5
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
103
100,0
103
100,0
109
100,0
Houses
98
95,2
89
87,2
100
91,8
Flats
5
4,8
13
12,8
8
7,3
Others
0
0,0
0
0,0
1
0,9
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
5
4,3
–5
–5,4
due to the household size effect
–2
–1,9
2
2,2
due to the demographic effect
7
6,3
–8
–7,6
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
60
100,0
65
100,0
59
100,0
1 room
0
0,0
0
0,0
0
0,0
2 rooms
5
8,3
7
10,9
5
8,5
3 rooms
13
21,7
11
17,2
7
11,9
4 rooms
17
28,3
20
31,3
25
42,4
5 rooms or above
25
41,7
26
40,6
22
37,3
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
4,3
4,3
4,2
House
4,4
4,4
4,3
Flat
2,8
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
20,0
25,0
25,0
Moderate over-occupation
0,0
0,0
8,3
Severe over-occupation
0,0
0,0
0,0
Moderate under-occupation
26,7
8,3
8,3
Severe under-occupation
20,0
25,0
41,7
Very severe under-occupation
33,3
41,7
16,7
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
59
100,0
Before 1919
17
28,8
From 1919 to 1945
4
6,8
From 1946 to 1970
7
11,9
From 1971 to 1990
13
22,0
From 1991 to 2005
10
16,9
From 2006 to 2019
8
13,6
Source : Insee, RP2022 main operation, geography as of 01/01/2025.
