données locales

Paru le : 21/02/2023

Full set of local data Municipality of Le Cendre (63069)

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

Growth and structure of the population in 2019

Municipality of Le Cendre (63069)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 4 611 100,0 4 975 100,0 5 510 100,0
0 to 14 years old 692 15,0 837 16,8 1 059 19,2
15 to 29 years old 675 14,6 680 13,7 758 13,8
30 to 44 years old 870 18,9 916 18,4 1 046 19,0
45 to 59 years old 1 182 25,6 1 032 20,7 1 023 18,6
60 to 74 years old 756 16,4 1 034 20,8 1 106 20,1
75 and over 437 9,5 476 9,6 518 9,4
  • 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 15,0 16,8 19,2
15 to 29 years old 14,6 13,7 13,8
30 to 44 years old 18,9 18,4 19,0
45 to 59 years old 25,6 20,7 18,6
60 to 74 years old 16,4 20,8 20,1
75 and over 9,5 9,6 9,4
  • 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 1 442 2 548 4 114 5 013 4 869 4 611 4 975 5 510
Average density (inhab / km²) 340,9 602,4 972,6 1 185,1 1 151,1 1 090,1 1 176,1 1 302,6
  • (*) 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 % 8,5 7,0 2,5 –0,3 –0,6 1,5 1,7
due to the natural balance in % 0,7 0,4 0,5 –0,1 –0,2 –0,3 0,0
due to the apparent balance of inflows and outflows in % 7,8 6,7 2,0 –0,3 –0,4 1,9 1,7
Natality rate (‰) 17,6 11,4 12,2 7,7 7,9 8,7 11,5
Mortality rate (‰) 10,2 7,8 7,0 8,4 10,2 12,0 11,1
  • 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 2 609 100,0 2 901 100,0
0 to 14 years old 525 20,1 534 18,4
15 to 29 years old 386 14,8 372 12,8
30 to 44 years old 502 19,3 543 18,7
45 to 59 years old 479 18,4 544 18,7
60 to 74 years old 527 20,2 579 20,0
75 to 89 years old 172 6,6 280 9,6
90 years and over 17 0,7 49 1,7
0 to 19 years old 668 25,6 684 23,6
20 to 64 years old 1 388 53,2 1 494 51,5
65 and over 553 21,2 724 24,9
  • 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: 4 923 100,0 5 445 100,0
In the same house 4 311 87,6 4 993 91,7
In another house in the same town 106 2,2 97 1,8
In another town 505 10,3 355 6,5
  • 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 32,2 67,8
15 to 24 years old 23,8 76,2
25 to 54 years old 17,9 82,1
55 years old and over 16,7 83,3
  • 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 3 902 100,0 4 126 100,0 4 470 100,0
Farmer operators 0 0,0 4 0,1 5 0,1
Craftsmen, traders, business leaders 134 3,4 101 2,5 86 1,9
Managers and higher intellectual professions 234 6,0 244 5,9 396 8,9
Middle-level occupations 553 14,2 576 14,0 671 15,0
Services employee 652 16,7 746 18,1 767 17,2
Blue-collar workers 515 13,2 503 12,2 539 12,1
Retirees 1 206 30,9 1 465 35,5 1 507 33,7
Other people with no professional activity 609 15,6 487 11,8 499 11,2
  • 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 2 132 2 338 100,0 100,0 100,0
Farmer operators 5 0 0,0 0,2 0,0
Craftsmen, traders, business leaders 76 10 0,0 3,6 0,5
Managers and higher intellectual professions 223 173 1,1 14,9 4,0
Middle-level occupations 305 366 3,4 26,9 4,5
Services employee 173 595 11,5 28,9 5,6
Blue-collar workers 432 107 13,8 19,7 3,2
Retirees 693 814 0,0 0,2 78,5
Other people without professional activity 224 275 70,1 5,5 3,7
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Municipality of Le Cendre (63069)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 1 907 100,0 2 093 100,0 2 302 100,0 4 441 4 786 5 375
One-person households (male and female) 479 25,1 582 27,8 667 29,0 479 582 667
 Single Male 223 11,7 206 9,9 263 11,4 223 206 263
 Single Female 256 13,4 375 17,9 404 17,6 256 375 404
Other households without families 24 1,3 33 1,6 30 1,3 48 69 86
Family households: 1 404 73,6 1 479 70,6 1 605 69,7 3 914 4 134 4 622
 Couple with no children 657 34,4 695 33,2 704 30,6 1 325 1 411 1 409
 Couple with children 545 28,6 600 28,7 718 31,2 2 022 2 256 2 756
 Single parent 202 10,6 183 8,8 183 7,9 566 467 457
  • 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 3,74 3,51 3,26 3,05 2,64 2,33 2,29 2,32
  • (*) 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 0,4 0,4 0,7
20 to 24 years old 4,0 4,0 6,9
25 to 39 years old 10,0 10,5 8,0
40 to 54 years old 7,8 11,0 11,7
55 to 64 years old 14,7 16,6 19,9
65 to 79 years old 22,1 22,5 24,1
80 and over 46,1 42,8 48,4
  • 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 1,7 0,4 0,3
20 to 24 years old 15,7 24,8 20,4
25 to 39 years old 74,0 74,5 76,8
40 to 54 years old 79,1 76,9 75,5
55 to 64 years old 77,7 75,5 74,3
65 to 79 years old 67,7 67,4 68,2
80 and over 31,2 38,7 34,9
  • 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 47,2
Civil partnership 6,3
In cohabitation 10,6
Widowed 7,8
Divorced 7,9
Single 20,2
  • 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 2 302 100,0 5 375 100,0
Farmer operators 0 0,0 0 0,0
Craftsmen, traders, business leaders 66 2,9 188 3,5
Managers and higher intellectual professions 218 9,5 528 9,8
Middle-level occupations 381 16,5 1 063 19,8
Services employee 401 17,4 1 068 19,9
Blue-collar workers 366 15,9 1 053 19,6
Retirees 795 34,5 1 312 24,4
Other people with no professional activity 76 3,3 163 3,0
  • 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 0,0
Handicrafters, traders, business leaders 2,9
Managers and higher intellectual professions 9,5
Middle-level occupations 16,5
Services employee 17,4
Blue-collar workers 15,9
Retirees 34,5
Unemployed persons 3,3
  • 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 1 408 100,0 1 487 100,0 1 605 100,0
Couple with children 545 38,8 604 40,6 718 44,7
Single parent 202 14,3 187 12,6 183 11,4
Male single parent 20 1,4 33 2,2 20 1,3
Female single parent 182 12,9 155 10,4 162 10,1
Couple with no children 661 46,9 695 46,8 704 43,9
  • 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 1 408 100,0 1 487 100,0 1 605 100,0
No children 724 51,4 764 51,4 816 50,8
1 child 320 22,7 333 22,4 305 19,0
2 children 270 19,2 294 19,8 356 22,2
3 children 76 5,4 84 5,6 102 6,4
4 children and over 18 1,3 12 0,8 26 1,6
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Municipality of Le Cendre (63069)

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 406 762 1 284 1 670 1 859 1 991 2 211 2 465
Main residences 383 698 1 232 1 614 1 766 1 907 2 091 2 307
Second homes 2 16 19 11 17 6 16 22
Vacant dwellings 21 48 33 45 76 78 104 135
  • (*) 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 1 991 100,0 2 211 100,0 2 465 100,0
Main residences 1 907 95,8 2 091 94,6 2 307 93,6
Second homes 6 0,3 16 0,7 22 0,9
Vacant dwellings 78 3,9 104 4,7 135 5,5
Houses 1 637 82,2 1 795 81,2 1 924 78,0
Flats 349 17,5 414 18,7 538 21,8
  • 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 1 907 100,0 2 091 100,0 2 307 100,0
1 room 7 0,4 1 0,0 7 0,3
2 rooms 108 5,7 114 5,5 132 5,7
3 rooms 240 12,6 236 11,3 271 11,8
4 rooms 695 36,4 721 34,5 821 35,6
5 rooms and over 857 44,9 1 019 48,7 1 075 46,6
  • 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 4,4 4,5 4,4
Houses 4,6 4,8 4,7
Flats 3,2 3,2 3,3
  • 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 0,4
Non-over-occupied 99,6
  • 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 2 293 100,0
before 1919 61 2,7
from 1919 to 1945 40 1,7
from 1946 to 1970 401 17,5
from 1971 to 1990 1 069 46,6
from 1991 to 2005 303 13,2
from 2006 to 2015 419 18,3
  • 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 58 3
from 1919 to 1945 39 1
from 1946 to 1970 363 38
from 1971 to 1990 878 189
from 1991 to 2005 213 89
from 2006 to 2015 257 162
  • 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 2 307 100,0 5 345 4,4 1,9
Less than 2 years 185 8,0 438 3,9 1,7
From 2 to 4 years 444 19,2 1 191 4,2 1,6
From 5 to 9 years 398 17,3 1 106 4,5 1,6
10 years and over 1 281 55,5 2 610 4,6 2,2
  • 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 8,0
From 2 to 4 years 19,2
From 5 to 9 years 17,3
From 10 to 19 years 17,5
From 20 to 29 years 11,2
30 years and over 26,9
  • 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 1 907 100,0 2 091 100,0 2 307 100,0 5 345 17,6
Homeowner 1 483 77,8 1 589 76,0 1 684 73,0 3 915 21,7
Tenant 401 21,0 475 22,7 601 26,1 1 393 6,3
(including social sector housing) 205 10,8 265 12,7 367 15,9 881 6,6
Housed for free 22 1,2 27 1,3 22 1,0 36 14,4
  • 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 1 907 100,0 2 091 100,0 2 307 100,0
Bathroom including a shower or a bath 1 886 98,9 2 073 99,1 2 268 98,3
Collective central heating 71 3,7 55 2,6 63 2,7
Individual central heating 1 251 65,6 1 326 63,4 1 568 68,0
Individual electric heating 436 22,9 487 23,3 496 21,5
  • 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 1 907 100,0 2 091 100,0 2 307 100,0
At least one parking spot 1 543 80,9 1 724 82,5 1 903 82,5
At least one car 1 750 91,8 1 927 92,2 2 144 92,9
1 car 829 43,5 932 44,6 987 42,8
2 cars and over 921 48,3 995 47,6 1 156 50,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Municipality of Le Cendre (63069)

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 284 213 74,9 77,5 72,3
6 to 10 years old 356 345 97,1 97,6 96,6
11 to 14 years old 278 272 97,8 97,0 98,6
15 to 17 years old 179 176 98,3 98,9 97,7
18 to 24 years old 318 158 49,5 49,1 50,1
25 to 29 years old 260 9 3,5 3,2 3,9
30 years old and over 3 694 23 0,6 0,4 0,9
  • 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 76,0 75,2 74,9
6 to 10 years old 99,2 99,7 97,1
11 to 14 years old 99,5 99,6 97,8
15 to 17 years old 98,3 96,5 98,3
18 to 24 years old 55,1 50,4 49,5
25 to 29 years old 4,7 4,3 3,5
30 years old and over 0,5 0,6 0,6
  • 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 4 085 1 903 2 182
Proportion of graduates in percentage
No diploma or primary education certificate 18,4 15,9 20,5
BEPC brevet des collèges or DNB 7,5 6,1 8,8
CAP, BEP or equivalent 28,0 33,6 23,2
Baccalauréat, brevet professionnel or equivalent 18,9 17,5 20,0
2 years at university 12,8 12,4 13,1
3 to 4 years at university 7,8 7,1 8,4
5 years and over at university 6,6 7,4 6,0
  • 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 28,4 18,4
BEPC brevet des collèges or DNB 8,3 7,5
CAP, BEP or equivalent 28,6 28,0
Baccalauréat, brevet professionnel or equivalent 17,0 18,9
2 years and over at university 17,7 27,2
  • 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 Le Cendre (63069)

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 3 068 3 112 3 175
Labor force in % 67,7 71,2 76,7
 including people in work in % 62,5 65,7 69,1
 including unemployed workers in % 5,2 5,6 7,7
Economically inactive people in % 32,3 28,8 23,3
 including pupils, students or interns in % 9,6 8,1 8,9
 including retirees in % 15,1 15,1 8,8
 including other economically inactive people in % 7,6 5,6 5,5
  • 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 3 175 2 436 76,7 2 193 69,1
 15 to 24 years old 498 204 41,1 140 28,2
 25 to 54 years old 2 005 1 889 94,2 1 730 86,3
 55 to 64 years old 673 343 50,9 322 47,9
Male 1 531 1 211 79,1 1 093 71,4
 15 to 24 years old 257 112 43,6 72 28,1
 25 to 54 years old 965 941 97,6 868 90,0
 55 to 64 years old 310 158 51,0 153 49,4
Female 1 644 1 224 74,5 1 099 66,9
 15 to 24 years old 241 92 38,4 68 28,2
 25 to 54 years old 1 040 947 91,1 862 82,9
 55 to 64 years old 363 184 50,8 169 46,7
  • 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 69,1
Unemployed workers 7,7
Retirees 8,8
Pupils, students or interns 8,9
Other economically inactive people 5,5
  • 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 2 091 1 946 2 165 2 003 2 485 2 281
including
 Farmer operators 0 0 4 4 5 5
 Handicrafters, traders and business leaders 134 130 101 101 86 81
 Managers and higher intellectual professions 234 218 244 239 396 391
 Middle-level occupations 553 541 576 556 666 645
 Services employee 648 601 734 677 767 691
 Blue-collar workers 515 456 503 425 539 467
  • 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 161 173 243
Unemployment rate in % 7,7 7,8 10,0
Unemployment of the 15-24 aged 25,5 24,5 31,4
Unemployment of the 25-54 aged 6,3 6,3 8,4
Unemployment of the 55-64 aged 3,9 4,8 5,9
  • 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 21,2
BEPC brevet des collèges or DNB 15,5
CAP, BEP or equivalent 10,6
Baccalauréat, brevet professionnel or equivalent 12,4
2 years at university 6,0
3 to 4 years at university 5,3
5 years and over at university 4,2
  • 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 859 1 060 1 051
People in work living in the area 1 920 2 056 2 208
Employment concentration indicator 44,7 51,6 47,6
Activity rate of 15 years old and over in % 53,2 53,9 55,1
  • 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 859 100,0 1 060 100,0 1 051 100,0
Employee 745 86,8 915 86,4 892 84,9
 including women 500 58,3 587 55,4 561 53,4
 including part-time workers 206 24,0 240 22,6 225 21,4
Non-employee 113 13,2 145 13,6 159 15,1
 including women 46 5,3 70 6,6 68 6,5
 including part-time workers 11 1,3 18 1,7 19 1,8
  • 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 982 100,0
Farmer operators 0 0,0
Handicrafters, traders, business leaders 101 10,3
Managers and higher intellectual professions 83 8,5
Middle-level occupations 249 25,4
Services employee 394 40,1
Blue-collar workers 154 15,7
  • 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 0,0 0,0 0,0
Handicrafters, traders, business leaders 9,7 8,2 10,3
Managers and higher intellectual professions 3,3 7,7 8,5
Middle-level occupations 22,1 22,1 25,4
Services employee 46,1 44,1 40,1
Blue-collar workers 18,8 17,9 15,7
  • 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 924 100,0 1 046 100,0 982 100,0 59,3 85,0
Agriculture 0 0,0 4 0,4 0 0,0
Industry 63 6,9 56 5,4 49 5,0 48,3 69,0
Construction 59 6,3 39 3,8 34 3,5 29,5 70,5
Wholesale and retail trade/transports/accommodations and food service activities 572 61,9 596 57,0 568 57,8 49,5 85,0
Public administration/education/healthcare/social work 229 24,8 351 33,5 331 33,7 80,8 88,8
  • 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
Industry 55,0 33,4
Construction 41,9 0,0
Wholesale and retail trade, transports, accommodations and food service activities 54,8 19,4
Public administration, education, healthcare, social work 84,4 52,1
  • 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 Le Cendre (63069)

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 2 208 100,0 17,7 50,0
Employees 2 034 92,1 17,9 51,0
Non-employees 174 7,9 15,2 38,0
  • 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 1 104 100 1 104 100
Employees 996 90,2 1 038 94,0
 Tenured personnel and open-ended employment contracts 904 82,0 922 83,5
 Fixed-term employment contracts 48 4,3 67 6,1
 Temporary employment 17 1,6 14 1,3
 Assisted jobs 6 0,6 14 1,3
 Apprentice ship contract - Traineeship 20 1,8 20 1,8
Non-employees 108 9,8 66 6,0
 Independents 58 5,2 44 4,0
 Employers 49 4,4 20 1,8
 Caregivers 1 0,1 2 0,2
  • 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 990 5,7 1 035 29,3
15 to 24 years old 72 28,2 67 40,9
25 to 54 years old 781 3,5 810 27,3
55 to 64 years old 137 6,7 158 34,6
  • 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 5,2 4,7 6,1
Female 33,8 30,0 29,3
  • 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 1 920 100 2 056 100 2 208 100
working :
in their residential zone 234 12,2 272 13,2 361 16,3
in another zone 1 686 87,8 1 784 86,8 1 847 83,7
  • 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 3,7
Walking 2,5
Bicycle 0,8
Motorized two-wheeled vehicles 0,8
Car or truck 86,4
Public transports 5,8
  • 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 Le Cendre (63069)

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 58 69 53 57 61 47 55 91
Domiciled births 57 72 58 49 59 41 39 48
  • 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 Le Cendre (63069)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 2 294
Number of people in tax households 5 278
Median disposable income (per consumption unit in euros) 23 280
Share of actually taxed tax households (in %) 54
  • 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 9
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 9
Homeowner
Tenant 21
  • 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 66,9
including wages 62,6
including unemployment pensions 2,3
including self-employed income 2,0
Retirement pension or annuity 35,3
Capital income (real estate, financial, others) 7,1
Social benefits 5,0
including child benefit 2,1
including income support 2,0
including housing benefit 0,9
Tax –14,3
  • 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) 23 280
Inter-decile ratio 2,5
1st decile (in euros) 14 020
9th decile (in euros) 35 020
  • 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 Le Cendre (63069)

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 15,1 13,4 16,4
Managerial staff* 23,2 19,9 24,8
Middle-level occupations 16,2 14,8 17,3
Services employee 11,6 11,4 12,2
Blue-collar workers 11,9 10,0 12,3
  • * 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 –18,2
Managerial staff* –19,6
Middle-level occupations –14,4
Services employee –7,1
Blue-collar workers –18,5
  • * 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 9,9 10,0 9,8
26 to 50 years old 15,0 13,4 16,2
50 years old or over 16,8 14,4 18,7
  • 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 1,8
26 to 50 years old –17,2
50 years old and over –23,0
  • 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.

Business and establishment set-ups in 2021

Municipality of Le Cendre (63069)

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 39 100,0 30 76,9
Industry 4 10,3 4 100,0
Construction 4 10,3 3 75,0
Wholesale and retail trade/transports/accommodations and food service activities 10 25,6 7 70,0
Information/communication 1 2,6 1 100,0
Finance and insurance activities 1 2,6 0 0,0
Real estate activities 3 7,7 0 0,0
Professional/scientific/technical activites/administrative and support service activities 6 15,4 5 83,3
Public administration/education/healthcare/social work 3 7,7 3 100,0
Other service activities 7 17,9 7 100,0
  • 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 29 24 19 24 23 26 32 27 28 39
Sole proprietorship 23 19 16 19 21 23 26 20 24 30
  • 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 256 100,0
Industry 15 5,9
Construction 32 12,5
Wholesale and retail trade/transports/accommodations and food service activities 65 25,4
Information/communication 5 2,0
Finance and insurance activities 6 2,3
Real estate activities 9 3,5
Professional/scientific/technical activites/administrative and support service activities 22 8,6
Public administration/education/human health/social work 77 30,1
Other service activities 25 9,8
  • 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 43 100,0
Industry 4 9,3
Construction 4 9,3
Wholesale and retail trade/transports/accommodations and food service activities 14 32,6
Information/communication 1 2,3
Finance and insurance activities 1 2,3
Real estate activities 3 7,0
Professional/scientific/technical activites/administrative and support service activities 6 14,0
Public administration/education/healthcare/social work 3 7,0
Other service activities by the number of business creations including free lancers 7 16,3
  • 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 31 27 21 25 24 31 33 29 30 43
  • 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 279 100,0
Industry 16 5,7
Construction 32 11,5
Wholesale and retail trade/transports/accommodations and food service activities 81 29,0
Information/communication 5 1,8
Finance and insurance activities 7 2,5
Real estate activities 9 3,2
Professional/scientific/technical activites/administrative and support service activities 24 8,6
Public administration/education/human health/social work 80 28,7
Other service activities 25 9,0
  • 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 Le Cendre (63069)

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 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 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.