This municipality has experienced contour changes since 2013 :
01/01/2022 – Cussey-sur-Lison (commune chef-lieu) est rattachée à Cussey-sur-Lison
(25185) (commune nouvelle).
01/01/2022 – Création de la commune nouvelle de Cussey-sur-Lison en lieu et place
des communes de Châtillon-sur-Lison (25134) et de Cussey-sur-Lison (25185).
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
39
33
32
28
31
40
46
49
51
Principal residences
27
22
21
19
26
30
31
35
30
Second dwellings and occasional dwellings
3
5
9
6
4
8
11
11
12
Vacant accommodations
9
6
2
3
1
1
4
3
9
(*) 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
67,0
71,0
59,2
Second dwellings and occasional dwellings
24,1
22,8
22,6
Vacant dwellings
8,9
6,3
18,2
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
46
100,0
49
100,0
51
100,0
Houses
41
89,2
41
83,4
45
88,1
Flats
5
10,8
8
16,6
6
11,9
Others
0
0,0
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
4
8,1
–5
–9,7
due to the household size effect
2
5,1
–2
–3,4
due to the demographic effect
1
3,0
–3
–6,3
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
31
100,0
35
100,0
30
100,0
1 room
0
0,0
0
0,0
0
0,0
2 rooms
2
5,9
3
8,1
1
3,3
3 rooms
2
6,4
4
11,7
2
6,5
4 rooms
1
3,2
7
20,1
6
20,1
5 rooms or above
26
84,4
21
60,2
21
70,1
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
5,5
4,9
5,4
House
5,8
5,2
5,6
Flat
4,0
3,4
4,0
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
12,7
17,0
16,3
Moderate over-occupation
0,0
0,0
0,0
Severe over-occupation
0,0
0,0
0,0
Moderate under-occupation
0,0
17,0
16,3
Severe under-occupation
12,7
15,1
0,0
Very severe under-occupation
74,5
51,0
67,4
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
30
100,0
Before 1919
13
43,9
From 1919 to 1945
2
7,0
From 1946 to 1970
2
6,5
From 1971 to 1990
2
6,5
From 1991 to 2005
8
26,2
From 2006 to 2019
3
9,8
Source : Insee, RP2022 main operation, geography as of 01/01/2025.
