données locales

Paru le : 21/02/2023

Full set of local data Municipality of Séné (56243)

Detailed figures
Paru le :Paru le21/02/2023
- February 2023

Growth and structure of the population in 2019

Municipality of Séné (56243)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 8 126 100,0 8 821 100,0 8 900 100,0
0 to 14 years old 1 276 15,7 1 334 15,1 1 251 14,1
15 to 29 years old 1 379 17,0 1 410 16,0 1 214 13,6
30 to 44 years old 1 363 16,8 1 388 15,7 1 377 15,5
45 to 59 years old 2 045 25,2 2 005 22,7 1 881 21,1
60 to 74 years old 1 454 17,9 1 825 20,7 2 161 24,3
75 and over 609 7,5 859 9,7 1 016 11,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2008 2013 2019
0 to 14 years old 15,7 15,1 14,1
15 to 29 years old 17,0 16,0 13,6
30 to 44 years old 16,8 15,7 15,5
45 to 59 years old 25,2 22,7 21,1
60 to 74 years old 17,9 20,7 24,3
75 and over 7,5 9,7 11,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP T1 - Population since 1968: population and average density (residents per square kilometre)

POP T1 - Population since 1968: population and average density (residents per square kilometre)
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Population 2 744 3 596 4 599 6 180 7 868 8 126 8 821 8 900
Average density (inhab / km²) 137,6 180,3 230,6 309,9 394,6 407,5 442,4 446,3
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2008 2008 to 2013 2013 to 2019
Average annual change in population in % 4,0 3,6 3,8 2,7 0,4 1,7 0,1
due to the natural balance in % 0,5 0,4 0,5 0,4 0,4 0,2 0,1
due to the apparent balance of inflows and outflows in % 3,5 3,2 3,3 2,3 –0,0 1,4 0,1
Natality rate (‰) 14,9 12,3 11,7 11,2 10,1 9,6 8,2
Mortality rate (‰) 9,9 8,7 6,8 6,9 6,0 7,4 7,2
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022
  • Sources: Insee, RP1968 to 1999 counts, RP2008 to RP2019 main holdings - Civil status

POP T3 - Population by age and sex in 2019

POP T3 - Population by age and sex in 2019
Male % Female %
Altogether 4 120 100,0 4 780 100,0
0 to 14 years old 627 15,2 624 13,1
15 to 29 years old 597 14,5 617 12,9
30 to 44 years old 661 16,0 716 15,0
45 to 59 years old 845 20,5 1 036 21,7
60 to 74 years old 991 24,1 1 170 24,5
75 to 89 years old 372 9,0 562 11,8
90 years and over 27 0,7 56 1,2
0 to 19 years old 837 20,3 866 18,1
20 to 64 years old 2 232 54,2 2 525 52,8
65 and over 1 051 25,5 1 390 29,1
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
2013 % 2019 %
People one year old and over, previously living: 8 748 100,0 8 829 100,0
In the same house 7 535 86,1 7 730 87,5
In another house in the same town 271 3,1 261 3,0
In another town 942 10,8 839 9,5
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP G3 - Home address 1 year before for people living in another house, by age in %

POP G3 - Home address 1 year before for people living in another house, by age in %
In another house in the same town In another town
1 to 14 years old 36,6 63,4
15 to 24 years old 18,0 82,0
25 to 54 years old 22,9 77,1
55 years old and over 18,6 81,4
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP G3 - Home address 1 year before for people living in another house, by age in %

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP T5 - Population aged 15 years and over by socioprofessional classification

POP T5 - Population aged 15 years and over by socioprofessional classification
2008 % 2013 % 2019 %
Altogether 6 796 100,0 7 404 100,0 7 628 100,0
Farmer operators 88 1,3 28 0,4 34 0,5
Craftsmen, traders, business leaders 204 3,0 280 3,8 313 4,1
Managers and higher intellectual professions 608 8,9 712 9,6 745 9,8
Middle-level occupations 1 056 15,5 1 144 15,5 1 028 13,5
Services employee 996 14,7 1 160 15,7 1 138 14,9
Blue-collar workers 564 8,3 648 8,8 566 7,4
Retirees 2 208 32,5 2 428 32,8 2 810 36,8
Other people with no professional activity 1 072 15,8 1 004 13,6 993 13,0
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019
Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 3 472 4 156 100,0 100,0 100,0
Farmer operators 25 10 0,0 1,2 0,0
Craftsmen, traders, business leaders 208 104 0,0 7,8 2,3
Managers and higher intellectual professions 402 344 1,7 17,4 5,9
Middle-level occupations 507 521 10,2 24,5 6,1
Services employee 282 856 18,7 26,1 5,8
Blue-collar workers 437 129 5,6 15,1 2,2
Retirees 1 245 1 566 0,0 0,2 72,3
Other people without professional activity 367 626 63,7 7,8 5,4
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Municipality of Séné (56243)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 3 500 100,0 4 168 100,0 4 436 100,0 8 056 8 668 8 745
One-person households (male and female) 1 008 28,8 1 472 35,3 1 751 39,5 1 008 1 472 1 751
 Single Male 384 11,0 556 13,3 614 13,8 384 556 614
 Single Female 624 17,8 916 22,0 1 137 25,6 624 916 1 137
Other households without families 40 1,1 72 1,7 75 1,7 84 152 160
Family households: 2 452 70,1 2 624 63,0 2 609 58,8 6 964 7 044 6 834
 Couple with no children 1 200 34,3 1 368 32,8 1 423 32,1 2 452 2 764 2 856
 Couple with children 984 28,1 904 21,7 813 18,3 3 824 3 444 3 050
 Single parent 268 7,7 352 8,4 373 8,4 688 836 928
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

FAM G1 - Households’ size since 1968

FAM G1 - Households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Average number of occupants per main residence 3,27 3,20 3,08 2,85 2,70 2,30 2,08 1,98
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G1 - Households’ size since 1968

  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G2 - Share of people aged 15 years and over living alone, by age – household population

FAM G2 - Share of people aged 15 years and over living alone, by age – household population
en % 2008 2013 2019
15 to 19 years old 1,8 1,9 6,8
20 to 24 years old 14,2 27,4 27,8
25 to 39 years old 12,9 18,5 21,7
40 to 54 years old 9,0 12,8 16,1
55 to 64 years old 14,7 17,6 21,0
65 to 79 years old 24,7 26,4 26,3
80 and over 46,8 52,5 50,0
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G2 - Share of people aged 15 years and over living alone, by age – household population

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G3 - Share of people aged 15 years and over living as a couple, by age

FAM G3 - Share of people aged 15 years and over living as a couple, by age
en % 2008 2013 2019
15 to 19 years old 1,3 1,4 1,1
20 to 24 years old 22,1 27,2 24,8
25 to 39 years old 69,7 62,0 58,6
40 to 54 years old 79,8 74,9 68,1
55 to 64 years old 81,2 76,8 74,9
65 to 79 years old 71,8 69,7 72,5
80 and over 45,1 42,9 48,8
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G3 - Share of people aged 15 years and over living as a couple, by age

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G4 - Marital status of the population aged 15 years and over in 2019

FAM G4 - Marital status of the population aged 15 years and over in 2019
%
Married 47,6
Civil partnership 4,9
In cohabitation 9,0
Widowed 7,5
Divorced 8,0
Single 22,9
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FAM G4 - Marital status of the population aged 15 years and over in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FAM T2 - Households by socioprofessional classification of the reference person in 2019

FAM T2 - Households by socioprofessional classification of the reference person in 2019
Number of households % Household population %
Altogether 4 436 100,0 8 745 100,0
Farmer operators 25 0,6 83 1,0
Craftsmen, traders, business leaders 214 4,8 528 6,0
Managers and higher intellectual professions 473 10,7 1 147 13,1
Middle-level occupations 643 14,5 1 551 17,7
Services employee 669 15,1 1 494 17,1
Blue-collar workers 375 8,4 832 9,5
Retirees 1 749 39,4 2 685 30,7
Other people with no professional activity 288 6,5 425 4,9
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM G5 - Households by socioprofessional classification of the reference person in 2019

FAM G5 - Households by socioprofessional classification of the reference person in 2019
%
Farmer operators 0,6
Handicrafters, traders, business leaders 4,8
Managers and higher intellectual professions 10,7
Middle-level occupations 14,5
Services employee 15,1
Blue-collar workers 8,4
Retirees 39,4
Unemployed persons 6,5
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM G5 - Households by socioprofessional classification of the reference person in 2019

  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM T3 - Families by composition

FAM T3 - Families by composition
2008 % 2013 % 2019 %
Altogether 2 468 100,0 2 624 100,0 2 614 100,0
Couple with children 984 39,9 904 34,5 813 31,1
Single parent 276 11,2 352 13,4 378 14,5
Male single parent 68 2,8 64 2,4 100 3,8
Female single parent 208 8,4 288 11,0 279 10,7
Couple with no children 1 208 48,9 1 368 52,1 1 423 54,4
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

FAM T4 - Families by number of children under 25 years old

FAM T4 - Families by number of children under 25 years old
2008 % 2013 % 2019 %
Altogether 2 468 100,0 2 624 100,0 2 614 100,0
No children 1 336 54,1 1 480 56,4 1 547 59,2
1 child 440 17,8 540 20,6 516 19,7
2 children 468 19,0 432 16,5 406 15,5
3 children 184 7,5 144 5,5 126 4,8
4 children and over 40 1,6 28 1,1 19 0,7
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Municipality of Séné (56243)

LOG T1 - Number of dwellings by category since 1968

LOG T1 - Number of dwellings by category since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Altogether 1 047 1 356 1 792 2 484 3 240 4 067 4 890 5 250
Main residences 829 1 089 1 484 2 141 2 874 3 495 4 180 4 446
Second homes 138 180 220 292 263 383 413 477
Vacant dwellings 80 87 88 51 103 189 297 327
  • (*) 1967 and 1974 for the overseas departments
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

LOG T2 - Types and categories of dwellings

LOG T2 - Types and categories of dwellings
2008 % 2013 % 2019 %
Altogether 4 067 100,0 4 890 100,0 5 250 100,0
Main residences 3 495 85,9 4 180 85,5 4 446 84,7
Second homes 383 9,4 413 8,4 477 9,1
Vacant dwellings 189 4,6 297 6,1 327 6,2
Houses 3 553 87,4 3 735 76,4 3 846 73,2
Flats 451 11,1 1 036 21,2 1 338 25,5
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T3 - Main residences by number of rooms

LOG T3 - Main residences by number of rooms
2008 % 2013 % 2019 %
Altogether 3 495 100,0 4 180 100,0 4 446 100,0
1 room 98 2,8 157 3,8 159 3,6
2 rooms 241 6,9 478 11,4 508 11,4
3 rooms 514 14,7 667 16,0 778 17,5
4 rooms 712 20,4 779 18,6 834 18,8
5 rooms and over 1 930 55,2 2 099 50,2 2 167 48,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T4 - Average number of rooms in main residences

LOG T4 - Average number of rooms in main residences
2008 2013 2019
All main residences 4,6 4,4 4,4
Houses 5,0 5,0 5,1
Flats 2,6 2,5 2,6
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)
%
Over-occupied 2,5
Non-over-occupied 97,5
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)

  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

LOG T5 - Main residences in 2019 by completion period

LOG T5 - Main residences in 2019 by completion period
Number %
Principal residences build before 2016 4 343 100,0
before 1919 169 3,9
from 1919 to 1945 71 1,6
from 1946 to 1970 366 8,4
from 1971 to 1990 1 417 32,6
from 1991 to 2005 1 297 29,9
from 2006 to 2015 1 023 23,5
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G1 - Main residences in 2019 by completion period and housing category

LOG G1 - Main residences in 2019 by completion period and housing category
House Flat
before 1919 157 10
from 1919 to 1945 63 8
from 1946 to 1970 348 17
from 1971 to 1990 1 282 87
from 1991 to 2005 1 038 256
from 2006 to 2015 291 721
  • Main residences built before 2016.
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G1 - Main residences in 2019 by completion period and housing category

  • Main residences built before 2016.
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG T6 - Main residence tenure in 2019

LOG T6 - Main residence tenure in 2019
Number of households Share of households in % Household population Average number of rooms
per dwelling per person
Altogether 4 446 100,0 8 789 4,4 2,2
Less than 2 years 518 11,6 988 3,4 1,8
From 2 to 4 years 963 21,7 1 907 3,4 1,7
From 5 to 9 years 703 15,8 1 509 4,2 1,9
10 years and over 2 263 50,9 4 385 5,1 2,7
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

LOG G2 - Households by main residence tenure in 2019
Share of households in%
Less than 2 years 11,6
From 2 to 4 years 21,7
From 5 to 9 years 15,8
From 10 to 19 years 20,1
From 20 to 29 years 13,0
30 years and over 17,8
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG T7 - Main residences by occupational status

LOG T7 - Main residences by occupational status
2008 2013 2019
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 3 495 100,0 4 180 100,0 4 446 100,0 8 789 15,0
Homeowner 2 468 70,6 2 744 65,6 2 834 63,7 5 818 20,5
Tenant 1 001 28,6 1 404 33,6 1 567 35,2 2 872 5,3
(including social sector housing) 297 8,5 375 9,0 548 12,3 1 044 7,5
Housed for free 26 0,7 32 0,8 46 1,0 100 8,8
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T8M - Main residences by material comfort

LOG T8M - Main residences by material comfort
2008 % 2013 % 2019 %
Altogether 3 495 100,0 4 180 100,0 4 446 100,0
Bathroom including a shower or a bath 3 453 98,8 4 107 98,3 4 371 98,3
Collective central heating 89 2,5 143 3,4 236 5,3
Individual central heating 1 926 55,1 2 040 48,8 2 298 51,7
Individual electric heating 1 285 36,8 1 645 39,4 1 645 37,0
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2008 % 2013 % 2019 %
Altogether 3 495 100,0 4 180 100,0 4 446 100,0
At least one parking spot 3 005 86,0 3 593 86,0 3 801 85,5
At least one car 3 196 91,4 3 815 91,3 4 073 91,6
1 car 1 595 45,6 2 032 48,6 2 277 51,2
2 cars and over 1 601 45,8 1 783 42,7 1 796 40,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Municipality of Séné (56243)

FOR T1 - Enrollment by age and sex in 2019

FOR T1 - Enrollment by age and sex in 2019
Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 303 229 75,7 77,1 74,2
6 to 10 years old 429 411 95,7 95,6 95,7
11 to 14 years old 380 376 99,0 98,9 99,0
15 to 17 years old 292 286 98,0 97,9 98,0
18 to 24 years old 547 297 54,4 48,3 60,0
25 to 29 years old 375 15 4,0 5,7 2,2
30 years old and over 6 435 27 0,4 0,3 0,5
  • Source: Insee, RP2019 principal exploitation, geography at the 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
2008 2013 2019
2 to 5 years old 86,9 82,7 75,7
6 to 10 years old 99,0 98,9 95,7
11 to 14 years old 99,5 99,5 99,0
15 to 17 years old 99,0 99,1 98,0
18 to 24 years old 51,4 47,3 54,4
25 to 29 years old 4,3 5,9 4,0
30 years old and over 0,9 0,7 0,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019
Altogether Male Female
Proportion of unschooled aged 15 years or above 7 023 3 206 3 817
Proportion of graduates in percentage
No diploma or primary education certificate 13,5 11,4 15,2
BEPC brevet des collèges or DNB 7,0 5,9 7,9
CAP, BEP or equivalent 24,3 27,9 21,3
Baccalauréat, brevet professionnel or equivalent 18,8 18,8 18,8
2 years at university 14,0 12,7 15,0
3 to 4 years at university 11,5 10,9 12,0
5 years and over at university 10,9 12,4 9,7
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)
2008 2019
No diploma or primary education certificate 22,4 13,5
BEPC brevet des collèges or DNB 8,6 7,0
CAP, BEP or equivalent 22,8 24,3
Baccalauréat, brevet professionnel or equivalent 18,7 18,8
2 years and over at university 27,6 36,4
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)

  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

Labor force, employment and unemployment within the sense of the census in 2019

Municipality of Séné (56243)

EMP T1 - Population aged 15 to 64 by economic activity status

EMP T1 - Population aged 15 to 64 by economic activity status
2008 2013 2019
Altogether 5 353 5 601 5 208
Labor force in % 68,1 70,7 71,9
 including people in work in % 62,4 62,6 63,2
 including unemployed workers in % 5,7 8,1 8,7
Economically inactive people in % 31,9 29,3 28,1
 including pupils, students or interns in % 11,5 9,3 9,7
 including retirees in % 13,6 12,9 11,5
 including other economically inactive people in % 6,8 7,2 6,9
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019
Population Labor force Activity rate in % People in work Employment rate in %
Altogether 5 208 3 743 71,9 3 290 63,2
 15 to 24 years old 839 300 35,8 218 26,0
 25 to 54 years old 2 902 2 688 92,6 2 393 82,5
 55 to 64 years old 1 467 755 51,5 679 46,3
Male 2 442 1 808 74,0 1 601 65,6
 15 to 24 years old 405 168 41,4 127 31,4
 25 to 54 years old 1 386 1 307 94,2 1 171 84,5
 55 to 64 years old 650 334 51,3 303 46,6
Female 2 766 1 935 69,9 1 689 61,1
 15 to 24 years old 434 133 30,5 91 20,9
 25 to 54 years old 1 516 1 381 91,1 1 223 80,6
 55 to 64 years old 816 421 51,6 376 46,0
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP G1 - Population aged 15 to 64 by economic activity status in 2019

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 63,2
Unemployed workers 8,7
Retirees 11,5
Pupils, students or interns 9,7
Other economically inactive people 6,9
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP G1 - Population aged 15 to 64 by economic activity status in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification
2008 including people in work 2013 including people in work 2019 including people in work
Altogether 3 516 3 216 3 944 3 508 3 794 3 297
including
 Farmer operators 84 80 28 28 34 29
 Handicrafters, traders and business leaders 204 196 260 228 288 273
 Managers and higher intellectual professions 608 584 704 660 740 720
 Middle-level occupations 1 056 980 1 140 1 060 1 023 913
 Services employee 996 908 1 160 980 1 113 889
 Blue-collar workers 560 468 632 552 561 472
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
2008 2013 2019
Number of unemployed workers 306 454 453
Unemployment rate in % 8,4 11,5 12,1
Unemployment of the 15-24 aged 21,4 28,3 27,4
Unemployment of the 25-54 aged 7,0 9,8 11,0
Unemployment of the 55-64 aged 6,0 8,3 10,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019
Unemployment rate in %
No diploma or primary education certificate 20,2
BEPC brevet des collèges or DNB 22,2
CAP, BEP or equivalent 14,7
Baccalauréat, brevet professionnel or equivalent 14,7
2 years at university 10,5
3 to 4 years at university 7,1
5 years and over at university 6,5
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
2008 2013 2019
Number of jobs in the area 2 473 2 196 2 350
People in work living in the area 3 351 3 538 3 336
Employment concentration indicator 73,8 62,1 70,4
Activity rate of 15 years old and over in % 53,4 53,4 49,6
  • The employment concentration indicator is equal to the number of jobs in the area per 100 people in work living in the area.
  • Sources: Insee, RP2008, RP2013 and RP2019, main holdings, place of residence and place of work, geography as of 01/01/2022.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2008 % 2013 % 2019 %
Altogether 2 473 100,0 2 196 100,0 2 350 100,0
Employee 2 018 81,6 1 755 79,9 1 870 79,6
 including women 1 088 44,0 973 44,3 1 059 45,1
 including part-time workers 517 20,9 464 21,1 458 19,5
Non-employee 456 18,4 440 20,1 480 20,4
 including women 157 6,4 172 7,8 207 8,8
 including part-time workers 44 1,8 54 2,5 76 3,2
  • Sources: Insee, RP2008, RP2013 and RP2019, main workplaces, geography as of 01/01/2022.

EMP T7 - Employment by socioprofessional activity in 2019

EMP T7 - Employment by socioprofessional activity in 2019
Number %
Altogether 2 363 100,0
Farmer operators 44 1,9
Handicrafters, traders, business leaders 210 8,9
Managers and higher intellectual professions 300 12,7
Middle-level occupations 649 27,4
Services employee 782 33,1
Blue-collar workers 380 16,1
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2008 2013 2019
Farmer operators 3,4 1,0 1,9
Handicrafters, traders, business leaders 8,7 9,1 8,9
Managers and higher intellectual professions 10,4 10,8 12,7
Middle-level occupations 27,2 29,3 27,4
Services employee 32,4 33,1 33,1
Blue-collar workers 18,0 16,6 16,1
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
2008 2013 2019
Number % Number % Number % including women in % including employees %
Altogether 2 407 100,0 2 312 100,0 2 363 100,0 53,3 82,1
Agriculture 98 4,1 33 1,4 79 3,3 35,5 44,3
Industry 201 8,4 141 6,1 95 4,0 52,0 58,1
Construction 217 9,0 220 9,5 150 6,4 7,4 84,8
Wholesale and retail trade/transports/accommodations and food service activities 1 258 52,3 1 184 51,2 1 266 53,6 47,2 82,9
Public administration/education/healthcare/social work 633 26,3 733 31,7 774 32,7 74,2 86,9
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019
Employees Non-employees
Agriculture 28,9 40,7
Industry 43,0 64,4
Construction 8,7 0,0
Wholesale and retail trade, transports, accommodations and food service activities 50,2 32,7
Public administration, education, healthcare, social work 75,1 68,3
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019

  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

Characteristics of employment in the sense of the census in 2019

Municipality of Séné (56243)

ACT T1 - Population aged 15 years or over having a job by status in 2019

ACT T1 - Population aged 15 years or over having a job by status in 2019
Number % of which% part-time of which% women
Altogether 3 336 100,0 19,2 51,2
Employees 2 784 83,4 19,4 53,3
Non-employees 552 16,6 18,3 40,5
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2019

ACT T2 - Status and employment conditions of 15 years or over by sex in 2019
Male % Female %
Altogether 1 628 100 1 708 100
Employees 1 299 79,8 1 485 86,9
 Tenured personnel and open-ended employment contracts 1 107 68,0 1 256 73,5
 Fixed-term employment contracts 122 7,5 179 10,5
 Temporary employment 36 2,2 12 0,7
 Assisted jobs 6 0,4 15 0,9
 Apprentice ship contract - Traineeship 28 1,7 24 1,4
Non-employees 329 20,2 223 13,1
 Independents 159 9,8 150 8,8
 Employers 166 10,2 67 3,9
 Caregivers 4 0,2 6 0,3
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019
Male of which% part-time Female of which% part-time
Altogether 1 292 8,5 1 480 28,7
15 to 24 years old 119 23,2 88 34,0
25 to 54 years old 944 6,1 1 064 27,5
55 to 64 years old 229 10,5 328 31,4
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT G1 - Proportion of partial time employees aged 15 years or over by sex

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2008 2013 2019
Male 7,4 8,2 8,6
Female 34,0 30,6 28,8
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

ACT G1 - Proportion of partial time employees aged 15 years or over by sex

  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
2008 % 2013 % 2019 %
Altogether 3 351 100 3 537 100 3 336 100
working :
in their residential zone 729 21,8 669 18,9 658 19,7
in another zone 2 622 78,2 2 868 81,1 2 678 80,3
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

ACT G2 - Proportion of transports used to go to work in 2019

ACT G2 - Proportion of transports used to go to work in 2019
Percentage
None 3,5
Walking 2,4
Bicycle 2,7
Motorized two-wheeled vehicles 1,1
Car or truck 85,0
Public transports 5,3
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT G2 - Proportion of transports used to go to work in 2019

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

Births and Deaths of people with usual residence in the area, 2014-2021

Municipality of Séné (56243)

RFD G1 - Births and Deaths of people with usual residence in the area

RFD G1 - Births and Deaths of people with usual residence in the area
2014 2015 2016 2017 2018 2019 2020 2021
Domiciled deaths 53 62 66 69 78 85 74 80
Domiciled births 74 76 78 69 60 63 61 53
  • Source: Insee, civil status statistics in geography as of 01/01/2022.

RFD G1 - Births and Deaths of people with usual residence in the area

  • Source: Insee, civil status statistics in geography as of 01/01/2022.

Household income and poverty in 2020

Municipality of Séné (56243)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 4 424
Number of people in tax households 9 149
Median disposable income (per consumption unit in euros) 24 860
Share of actually taxed tax households (in %) 58
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G1 - Poverty rate by age range of the reference fiscal person in 2020

REV G1 - Poverty rate by age range of the reference fiscal person in 2020
Rate in %
Altogether 8
Less than 30 years old
30 to 39 years old
40 to 49 years old
50 to 59 years old
60 to 74 years old
75 and over
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G1 - Poverty rate by age range of the reference fiscal person in 2020

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020
Rate in %
Altogether 8
Homeowner 5
Tenant 20
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T2 - Disposable income components in 2020

REV T2 - Disposable income components in 2020
share in %
Altogether 100,0
Work income 59,6
including wages 51,5
including unemployment pensions 2,8
including self-employed income 5,3
Retirement pension or annuity 42,5
Capital income (real estate, financial, others) 10,7
Social benefits 3,8
including child benefit 1,2
including income support 1,8
including housing benefit 0,8
Tax –16,6
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 24 860
Inter-decile ratio 3,0
1st decile (in euros) 14 080
9th decile (in euros) 42 050
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

Wages and work income in 2020

Municipality of Séné (56243)

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020
Altogether Female Male
Altogether 16,1 14,2 17,5
Managerial staff* 27,4 23,1 29,9
Middle-level occupations 15,5 14,6 16,2
Services employee 11,5 11,2 12,2
Blue-collar workers 11,3 10,3 11,5
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020

  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020
Difference (in %)
Altogether –18,7
Managerial staff* –23,0
Middle-level occupations –9,8
Services employee –7,7
Blue-collar workers –11,0
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020

  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL T1 - Average net hourly wage (in euros) by age in 2020

SAL T1 - Average net hourly wage (in euros) by age in 2020
Altogether Female Male
15 to 25 years old 10,3 9,8 10,8
26 to 50 years old 15,6 14,2 16,7
50 years old or over 19,2 15,9 21,8
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020
Gender pay gap (in%)
15 to 25 years old –9,2
26 to 50 years old –15,1
50 years old and over –26,8
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020

  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

Characteristics of establishments at the end of 2020

Municipality of Séné (56243)

RES T1P - Active establishments as employers by aggregate sector of activity and size at the end of 2020

RES T1P - Active establishments as employers by aggregate sector of activity and size at the end of 2020
Total % 0 employee 1 to 9 employee(s) 10 or more employees
Altogether 315 100,0 19 248 48
Agriculture, forestry and fishing* 15 4,8 3 12 0
Industrial economy* 15 4,8 0 10 5
Building industry* 34 10,8 3 24 7
Trade, transport, various services* 217 68,9 13 180 24
including trade and car repair 72 22,9 1 57 14
Administration publique, enseignement, santé, action sociale 34 10,8 0 22 12
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T2P - Salaried positions by aggregate sector of activity and size of establishment at the end of 2020

RES T2P - Salaried positions by aggregate sector of activity and size of establishment at the end of 2020
Total % 1 to 9 employee(s) 10 or more employees
Altogether 2 008 100,0 732 1 276
Agriculture, forestry and fishing 21 1,0 21 0
Industrial economy 99 4,9 33 66
Building industry 192 9,6 65 127
Trade, transport, various services 1 110 55,3 559 551
including trade and car repair 562 28,0 202 360
Administration publique, enseignement, santé, action sociale 586 29,2 54 532
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020
%
General government, education, healthcare, social action* 10,8
Trade, transport, various services* 68,9
Building industry* 10,8
Industrial economy* 4,8
Agriculture, forestry and fishing* 4,8
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2P - Distribution of active employer establishments by size at the end of 2020

RES G2P - Distribution of active employer establishments by size at the end of 2020
%
10 or more employees 15,2
1 to 10 employee(s) 78,7
0 employee 6,0
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2P - Distribution of active employer establishments by size at the end of 2020

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020
Establishments Salaried positions
Number % Number %
Altogether 315 100,0 2 008 100,0
Productive sphere* 76 24,1 256 12,7
of which public domain* 0 0,0 0 0,0
Presential sphere 239 75,9 1 752 87,3
of which public domain* 11 3,5 336 16,7
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 678 100,0
Employers of childminders 135 19,9
Employers of other employees 543 80,1
  • Scope: private employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

Business and establishment set-ups in 2021

Municipality of Séné (56243)

DEN T1 - Business set-ups by sector of activity in 2021

DEN T1 - Business set-ups by sector of activity in 2021
Company set-ups Of which sole proprietorships
Number % Number %
Altogether 109 100,0 70 64,2
Industry 7 6,4 5 71,4
Construction 9 8,3 3 33,3
Wholesale and retail trade/transports/accommodations and food service activities 16 14,7 11 68,8
Information/communication 7 6,4 6 85,7
Finance and insurance activities 2 1,8 0 0,0
Real estate activities 10 9,2 4 40,0
Professional/scientific/technical activites/administrative and support service activities 22 20,2 12 54,5
Public administration/education/healthcare/social work 12 11,0 9 75,0
Other service activities 24 22,0 20 83,3
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2022.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Altogether 66 71 62 53 55 78 75 104 96 109
Sole proprietorship 47 50 49 40 40 50 48 78 68 70
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T3 - Number of legal units by economic sector on the 31st of December 2020

DEN T3 - Number of legal units by economic sector on the 31st of December 2020
Number %
Altogether 711 100,0
Industry 45 6,3
Construction 70 9,8
Wholesale and retail trade/transports/accommodations and food service activities 171 24,1
Information/communication 19 2,7
Finance and insurance activities 36 5,1
Real estate activities 34 4,8
Professional/scientific/technical activites/administrative and support service activities 144 20,3
Public administration/education/human health/social work 118 16,6
Other service activities 74 10,4
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T4 - Business set-ups by economic sectors in 2021

DEN T4 - Business set-ups by economic sectors in 2021
Altogether %
Altogether 123 100,0
Industry 8 6,5
Construction 12 9,8
Wholesale and retail trade/transports/accommodations and food service activities 17 13,8
Information/communication 7 5,7
Finance and insurance activities 3 2,4
Real estate activities 10 8,1
Professional/scientific/technical activites/administrative and support service activities 27 22,0
Public administration/education/healthcare/social work 15 12,2
Other service activities by the number of business creations including free lancers 24 19,5
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Establishment set-ups 77 83 75 69 59 91 75 122 110 123
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T5 - Number of legal units by economic sector on the 31st of December 2020

DEN T5 - Number of legal units by economic sector on the 31st of December 2020
Number %
Altogether 813 100,0
Industry 51 6,3
Construction 79 9,7
Wholesale and retail trade/transports/accommodations and food service activities 210 25,8
Information/communication 19 2,3
Finance and insurance activities 50 6,2
Real estate activities 39 4,8
Professional/scientific/technical activites/administrative and support service activities 164 20,2
Public administration/education/human health/social work 124 15,3
Other service activities 77 9,5
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

Municipality of Séné (56243)

TOU T1 - Number and capacity of hotels on the 1st of January 2023

TOU T1 - Number and capacity of hotels on the 1st of January 2023
Hotels Rooms
Altogether 0 0
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2022.

TOU T2 - Number and capacity of campsites on the 1st of January 2023

TOU T2 - Number and capacity of campsites on the 1st of January 2023
Campsites Pitch
Altogether 1 116
1 star 0 0
2 stars 0 0
3 stars 1 116
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2022.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023
Accommodation Number of bed places (1)
Altogether 0 0
Tourist accommodations 0 0
Holiday villages or private homes 0 0
Youth hostels 0 0
  • (1) rooms, apartments, dormitories ...
  • Source: Insee, territorial partners in geography as of 01/01/2022.

Définitions

Declarative judgments of birth: Any birth occurring on French territory must be the subject of a declaration to the Civil register within three days of giving birth, giving rise to an act. If this declaration has not been made within this legal period, it is the subject of a declaration of birth giving rise to a transcription in the civil status registers.

Declarations of death: When death is insured but the body could not be found (plane crash, disappearance at sea ...), a declaratory judgment of death is drawn up which results in transcription on the civil status registers.

Tax household: Household made up of the grouping of tax households listed in the same dwelling. Its existence in a given year is due to the fact that at least an independent declaration of income coincides with the occupation of a dwelling known to the Housing Tax. Households made up of people who do not have their fiscal independence (mainly students) are counted in households where they declare their income even if they occupy independent accommodation.

Average hourly net salary: Result of the quotient of the mass of net wages compared to the number of salaried hours calculated on all the positions carried out by the employee during the year (excluding unemployment benefits). The number of paid hours takes into account paid overtime and all the periods during which the employee remains linked to an establishment due to the employment contract (leave, period of illness and accident at work), at the exception of periods of unpaid leave.

Market activity: The activity of a company is qualified as market if its operating expenses are normally covered for more than 50 % through the sale of its production. The activity of an establishment is market if this establishment contributes essentially to the production of a good or service considered to be market, either by nature or because its selling price exceeds 50 % of its production costs.

Public domain: An establishment belongs to this area if it is part of a legal category 7 enterprise (legal person or body subject to administrative law) or if more than half of its workforce is part of the State civil service.

The definitions of other concepts allowing a better understanding of the variables are accessible on insee.fr.

Champ

Population censuses

The data are offered to users in particular for comparing municipalities, grouping variable categories or obtaining results on personalized sets of municipalities.

Derived from calculations linked to sampling techniques, the data in terms of numbers are provided with several decimal places; these must be used for all calculations carried out, in order to avoid rounding errors.

For more information on the population census, consult the page of presentation of the population census.

The data come either from the main farm (princ.) or from the complementary farm (compl).

For more methodological information, you can consult the sheets "Tips on using census results".

These sheets present the characteristics of the population census and deal with their consequences on the use of the data. They specify in particular the changes affecting the main statistical variables and their comparability with previous censuses.

Civil register

Annual statistics concerning domiciled births are drawn up from the statistical bulletins of civil status, drawn up by the mayors, at the time and in the municipality where the births take place. They relate to births having taken place in all the municipalities of France. Births that took place abroad or in the overseas communities (COM) are not counted.

The "commune" variable corresponds to the commune of the mother's domicile in France.

The statistics include declarative judgments of birth, but do not take into account stillbirths.

Annual statistics concerning domiciled deaths are drawn up from civil status statistics bulletins drawn up by the mayors, at the time and in the municipality where the deaths took place. They relate to deaths that have occurred in all municipalities in France. Deaths having occurred abroad or in overseas communities (COM) are not counted.

The "commune" variable corresponds to the commune of the deceased's domicile in France.

The statistics include declarative judgments of deaths.

Localised disposable income system (FiLoSoFi)

The scope covered is that of all ordinary tax households: it excludes people who are homeless or living in institutions (prison, home, retirement home, etc.).

The share of taxed households is calculated on the basis of households whose declared income is positive or zero.

Other indicators are calculated on the basis of households with positive or zero disposable income.

Municipalities without inhabitant or without inhabitant subject to the housing tax are not in the list of municipalities.

All employees databases

The statistics are compiled from information collected on private sector companies and public companies located in France.

Statistics on socio-professional categories relate to the main position occupied by the employee during the year, excluding agriculture and undefined socio-professional category.

People whose age is not indicated and minors are also excluded from the statistical field.

Register of enterprises and establishments (REE)

The indicators relate to the number of businesses and legal units and the creation of businesses and establishments of all non-agricultural market activities. This field includes financial activities.

When a company has several establishments, it is located at its head office.

The number of companies or legal units in year N corresponds to the number of companies or legal units active on December 31, N-1.

The number of business or establishment creations corresponds to the number of businesses or establishments created during year N.

Pay and salaried employment localized file (Flores)

The Flores system (Pay and salaried employment localized file) covers establishments that have employed at least one employee during the year, in France excluding Mayotte. In this municipal database, the data made available is also restricted to establishments active at the end of the year (last week of December), which excludes establishments which ceased their activity during the year.

The salaried workforce at the end of the year corresponds to the number of positions present in the last week of December in the employing establishment. The workforce at the end of the year in some establishments may therefore be zero, if the employee (s) during the year were no longer employed at the end of December.

Flores covers all salaried employment, regardless of the sector of activity and the type of employer (public or private, including individual employers). Establishments under the Ministry of the Armed Forces (military personnel as well as civilians) are excluded from the scope.

The Flores device succeeds Clap, whose last vintage described the year 2015. The results from Flores and Clap are not comparable, and therefore should not be the subject of evolving comparative analyzes.

Specifically:

-Clap covered all active establishments, employers and non-employers. The number of establishments with zero staff at the end of the year was therefore much higher in Clap, because of this difference in field.

- Conversely, Clap only counted so-called non-ancillary jobs, that is to say those exceeding a certain threshold of remuneration and / or duration. This restriction has been removed in Flores, which counts all workstations.

Hotel occupancy survey

The scope covers tourist hotels, classified or not, with more than 5 bedrooms and campsites with more than 10 pitches, classified or not, including residential campsites. It also covers other collective tourist accommodation.

Statistics on the accommodation offer are established in conjunction with the regional tourism committees (CRT) and the general management of enterprises (DGE). They are offered at municipal level for France (excluding Mayotte).

The statistics concerning the outdoor hotel business relate to the campsites offering sites for transient customers intended for tourists who do not choose to live there as well. only on campsites offering pitches rented year-round, that is to say to a single customer for the entire period when the campsite is open.

Classified hotels and campsites are classified according to the new classification nomenclature implemented by the operator Atout France. The distribution by star is not available for the 2013 vintage for hotels, because the classification being paid, the distribution by star was not significant.

The information on other collective accommodation in the overseas departments is of lower quality. Since 2018, the field concerning other collective accommodation in the overseas departments has been deleted. The workforce from other collective accommodation has been transferred to hotels.

Géographie

Population censuses 2008, 2013, 2019: dissemination in the municipalities of France outside Mayotte in geography on 01/01/2022;

Vital statistics: distribution to all municipalities in France in geography as of 01/01/2022;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2022;

All employees databases, file of employees at the place of residence: dissemination in the municipalities of France excluding Mayotte with more than 2,000 inhabitants, respecting specific thresholds, in geography as of 01/01/2022;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2022;

Directory of businesses and establishments (Sirene) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2022;

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2022

Release threshold for the population census

The population census makes it possible to know the diversity and evolution of the population of France. Insee thus provides statistics on inhabitants and dwellings, their number and their characteristics: distribution by sex and age, occupations, housing conditions, modes of transport, commuting, etc.

Data from additional census holdings are not disseminated for areas less than 2 000 inhabitants. In addition, numbers below 200 should be handled with care, as it cannot be significant.

Particularity of Civil register data

The data, for the municipalities of Paris (75056), Lyon (69123) and Marseille (13055), are presented for the entire municipality and for each municipal district.

For these municipalities, the municipal district of the domicile is not systematically informed about the statistical bulletin. Births are therefore only counted in the database at the level of the municipality and not of the municipal district. The sum of births in the arrondissements of Lyon (Marseille and Paris respectively) is therefore not always equal to the number of births in the municipality of Lyon (Marseille and Paris respectively).

Dissemination threshold and statistical confidentiality of the Localized Social and Fiscal File (FiLoSoFi)

Data from FiLoSoFi are subject to statistical confidentiality. No statistics are disseminated on very small areas (less than 50 households and less than 100 people).

Three indicators (median standard of living, counts in number of households and number of people) are proposed for areas with more than 50 households or more than 100 people.

In the largest areas (more than 1,000 households or more than 2 000 people), all indicators are generally offered. They are also disseminated on the sub-populations associated with a socio-demographic criterion (for example under 30 years) having a minimum number of at least 200 people and at least 11 households.

Poverty rates are disseminated for areas with more than 1,000 households or more than 2 000 ppeople in which there are at least 200 people and 11 poor households, as well as at least 200 people and 11 households above the poverty line.

They are distributed to sub-populations associated with a socio-demographic criterion (for example under 30s) with a minimum workforce of at least 200 people. and at least 11 poor households and at least 200 people and at least 11 households above the poverty line.

When the rates are in the ranges [0; 5] and [95; 100], the exact value is not displayed, it is replaced by the values ​​5 % and 95 % respectively.

The components of disposable income are disseminated over areas over 1 000 households or more than 2 000 people, provided that for each of the income components there are at least 11 households for which the component is non-zero.

Statistical confidentiality of the Bases All employees

Data from the All Employees Bases are subject to statistical confidentiality. No statistics are released for areas less than 2 000 inhabitants. Moreover, each box in the table must contain at least 5 employees and no employee must represent more than 80 % of the box payroll. These constraints lead to excluding from the dissemination the results of certain areas of more than 2 000 inhabitants.

Warning on the nature of municipal data and their use for the localized file of remunerations and salaried employment (Flores)

INSEE makes localized data from Flores available to the municipal level. However, at this geographic scale, the results of this data warehouse have not been validated by experts. Each user is therefore called upon to exercise good judgment concerning the plausibility and relevance of the results, in particular in limited geographic or sectoral fields. As far as possible, the analyzes should focus on areas "of sufficient size" (several thousand salaried positions), in order to limit errors that could be due to occasional erroneous declarations by certain establishments.

Status of municipal data from Flores differs in particular from that of Employment Estimates, which are subject to full validation by experts and which are disseminated at a more aggregate level (department and employment area at the finest). In other words, the municipal data, in return for their finesse, do not benefit from the same validation and adjustment framework.