This municipality has experienced contour changes since 2013 :
01/01/2025 – Grigny devient Grigny-sur-Rhône.
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
2 270
2 894
2 848
2 878
3 061
3 454
3 855
4 173
4 257
Principal residences
2 094
2 765
2 529
2 589
2 887
3 311
3 656
3 882
4 017
Second dwellings and occasional dwellings
10
11
14
29
25
8
4
15
32
Vacant accommodations
166
118
305
260
149
135
195
276
208
(*) 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
94,8
93,0
94,4
Second dwellings and occasional dwellings
0,1
0,4
0,8
Vacant dwellings
5,0
6,6
4,9
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
3 855
100,0
4 173
100,0
4 257
100,0
Houses
1 627
42,2
1 731
41,5
1 810
42,5
Flats
2 206
57,2
2 434
58,3
2 442
57,4
Others
21
0,6
8
0,2
5
0,1
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
227
5,9
134
3,2
due to the household size effect
9
0,2
7
0,2
due to the demographic effect
218
5,6
127
3,0
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
3 656
100,0
3 882
100,0
4 017
100,0
1 room
51
1,4
57
1,5
35
0,9
2 rooms
422
11,5
476
12,3
503
12,5
3 rooms
995
27,2
996
25,7
1 014
25,2
4 rooms
1 124
30,8
1 209
31,1
1 185
29,5
5 rooms or above
1 063
29,1
1 145
29,5
1 280
31,9
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
3,9
3,9
4,0
House
4,6
4,7
4,8
Flat
3,3
3,3
3,3
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
26,6
27,7
26,5
Moderate over-occupation
4,2
3,8
5,1
Severe over-occupation
1,0
0,4
0,4
Moderate under-occupation
29,9
33,7
31,8
Severe under-occupation
26,3
22,7
21,2
Very severe under-occupation
12,1
11,8
15,1
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
3 871
100,0
Before 1919
226
5,8
From 1919 to 1945
321
8,3
From 1946 to 1970
992
25,6
From 1971 to 1990
961
24,8
From 1991 to 2005
689
17,8
From 2006 to 2019
682
17,6
Source : Insee, RP2022 main operation, geography as of 01/01/2025.
