données locales

Paru le : 27/02/2024

Full set of local data Municipality of Condette (62235)

Detailed figures
Paru le :Paru le27/02/2024
- February 2024

Growth and structure of the population in 2020

Municipality of Condette (62235)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2009 % 2014 % 2020 %
Altogether 2 575 100,0 2 556 100,0 2 482 100,0
0 to 14 years old 427 16,6 407 15,9 352 14,2
15 to 29 years old 370 14,4 321 12,6 308 12,4
30 to 44 years old 448 17,4 384 15,0 328 13,2
45 to 59 years old 686 26,6 655 25,6 612 24,7
60 to 74 years old 426 16,5 497 19,4 605 24,4
75 and over 218 8,5 292 11,4 277 11,2
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2009 2014 2020
0 to 14 years old 16,6 15,9 14,2
15 to 29 years old 14,4 12,6 12,4
30 to 44 years old 17,4 15,0 13,2
45 to 59 years old 26,6 25,6 24,7
60 to 74 years old 16,5 19,4 24,4
75 and over 8,5 11,4 11,2
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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 2009 2014 2020
Population 1 611 1 869 2 084 2 392 2 675 2 575 2 556 2 482
Average density (inhab / km²) 99,1 114,9 128,2 147,1 164,5 158,4 157,2 152,6
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2023.
  • Sources: Insee, RP1967 to 1999 counts, RP2009 to RP2020 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 2009 2009 to 2014 2014 to 2020
Average annual change in population in % 2,2 1,6 1,7 1,2 –0,4 –0,1 –0,5
due to the natural balance in % 0,5 0,1 0,4 0,6 –0,0 –0,1 –0,5
due to the apparent balance of inflows and outflows in % 1,7 1,5 1,4 0,7 –0,4 –0,1 0,0
Natality rate (‰) 14,4 10,1 13,0 12,9 7,9 7,9 4,4
Mortality rate (‰) 9,8 9,6 9,4 7,2 8,1 8,6 9,6
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2023
  • Sources: Insee, RP1968 to 1999 counts, RP2009 to RP2020 main holdings - Civil status

POP T3 - Population by age and sex in 2020

POP T3 - Population by age and sex in 2020
Male % Female %
Altogether 1 196 100,0 1 286 100,0
0 to 14 years old 179 15,0 173 13,5
15 to 29 years old 173 14,5 135 10,5
30 to 44 years old 150 12,5 178 13,8
45 to 59 years old 287 24,0 325 25,3
60 to 74 years old 300 25,1 304 23,6
75 to 89 years old 104 8,7 153 11,9
90 years and over 3 0,3 18 1,4
0 to 19 years old 250 20,9 235 18,3
20 to 64 years old 646 54,1 701 54,5
65 and over 300 25,1 350 27,2
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
2014 % 2020 %
People one year old and over, previously living: 2 534 100,0 2 469 100,0
In the same house 2 271 89,6 2 298 93,1
In another house in the same town 52 2,1 35 1,4
In another town 211 8,3 136 5,5
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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 28,4 71,6
15 to 24 years old 4,8 95,2
25 to 54 years old 22,6 77,4
55 years old and over 15,1 84,9
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

POP T5 - Population aged 15 years and over by socioprofessional classification
2009 % 2014 % 2020 %
Altogether 2 113 100,0 2 165 100,0 2 139 100,0
Farmer operators 4 0,2 12 0,6 5 0,2
Craftsmen, traders, business leaders 139 6,6 94 4,3 103 4,8
Managers and higher intellectual professions 235 11,1 261 12,1 208 9,7
Middle-level occupations 291 13,8 331 15,3 284 13,3
Services employee 275 13,0 207 9,6 281 13,1
Blue-collar workers 163 7,7 167 7,7 205 9,6
Retirees 631 29,9 724 33,4 738 34,5
Other people with no professional activity 374 17,7 369 17,1 315 14,7
  • Sources: Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2020

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2020
Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 971 1 168 100,0 100,0 100,0
Farmer operators 5 0 0,0 0,6 0,0
Craftsmen, traders, business leaders 73 30 0,0 10,6 2,2
Managers and higher intellectual professions 144 63 0,0 15,3 8,1
Middle-level occupations 92 193 2,4 27,7 6,5
Services employee 59 222 4,6 22,4 9,0
Blue-collar workers 169 35 15,7 14,4 5,5
Retirees 312 426 0,0 0,0 61,8
Other people without professional activity 116 199 77,3 9,0 6,9
  • Source: Insee, RP2020 additional operation, geography as of 01/01/2023.

Couples – Family – Households in 2020

Municipality of Condette (62235)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2009 % 2014 % 2020 % 2009 2014 2020
Ensemble 1 063 100,0 1 094 100,0 1 129 100,0 2 565 2 547 2 503
One-person households (male and female) 253 23,8 283 25,9 338 29,9 253 283 338
 Single Male 96 9,0 101 9,3 70 6,2 96 101 70
 Single Female 157 14,8 182 16,6 268 23,8 157 182 268
Other households without families 12 1,2 20 1,9 15 1,4 29 45 31
Family households : 797 75,0 790 72,2 776 68,7 2 283 2 219 2 134
 Couple without children 385 36,2 417 38,2 411 36,4 773 851 831
 Couple with children 347 32,7 317 28,9 276 24,4 1 336 1 224 1 054
 Single parent 65 6,1 56 5,2 89 7,9 174 144 249
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2009 2014 2020
Average number of occupants per main residence 3,57 3,34 3,05 2,96 2,81 2,43 2,33 2,22
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2023.
  • Sources : Insee, RP1967 to 1999 counts RP2009 to RP2020 main holdings

FAM G1 - Growth estimates of 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 01/01/2023.
  • Sources : Insee, RP1967 to 1999 counts RP2009 to RP2020 main holdings

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households
en % 2009 2014 2020
15 to 19 years old 0,0 0,0 0,0
20 to 24 years old 2,9 1,1 3,5
25 to 39 years old 7,2 5,7 7,8
40 to 54 years old 6,5 6,2 7,0
55 to 64 years old 10,5 11,4 15,0
65 to 79 years old 24,1 23,5 20,7
80 and above 43,0 51,2 56,3
  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households

  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FAM G3 - Proportion of couple families aged 15 years or over

FAM G3 - Proportion of couple families aged 15 years or over
en % 2009 2014 2020
15 to 19 years old 0,6 0,0 0,0
20 to 24 years old 19,9 10,0 11,0
25 to 39 years old 76,2 69,9 68,8
40 to 54 years old 86,0 85,6 81,5
55 to 64 years old 85,1 84,1 82,3
65 to 79 years old 70,9 72,0 75,1
80 and above 50,7 44,6 40,3
  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FAM G3 - Proportion of couple families aged 15 years or over

  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FAM G4 - Marital status of the population aged 15 years or over in 2020

FAM G4 - Marital status of the population aged 15 years or over in 2020
%
Married 56,0
Civil partnership 4,0
In cohabitation 7,7
Widowed 9,3
Divorced 4,9
Single 18,0
  • Source : Insee, RP2020 main operation, geography as of 01/01/2023.

FAM G4 - Marital status of the population aged 15 years or over in 2020

  • Source : Insee, RP2020 main operation, geography as of 01/01/2023.

FAM T2 - Households by socio-economic classification of the reference person in 2020

FAM T2 - Households by socio-economic classification of the reference person in 2020
Number of households % Household population %
Ensemble 1 129 100,0 2 503 100,0
Farmer operators 5 0,4 19 0,8
Craftsmen, traders, business leaders 59 5,2 175 7,0
Managers and higher intellectual professions 149 13,2 410 16,4
Intermediate professions 164 14,5 446 17,8
Employees 147 13,0 342 13,7
Workers 119 10,6 327 13,1
Retirees 454 40,2 738 29,5
Other people without professional activity 32 2,8 47 1,9
  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM G5 - Households by socio-economic classification of the reference person in 2020

FAM G5 - Households by socio-economic classification of the reference person in 2020
%
Farmer operators 0,4
Handicrafters, traders, business leaders 5,2
Managers and higher intellectual professions 13,2
Intermediate professions 14,5
Employees 13,0
Workers 10,6
Retirees 40,2
Unemployed persons 2,8
  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM G5 - Households by socio-economic classification of the reference person in 2020

  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM T3 - Families composition

FAM T3 - Families composition
2009 % 2014 % 2020 %
Ensemble 797 100,0 790 100,0 780 100,0
Couple with children 347 43,6 317 40,1 276 35,3
Single parent 65 8,1 56 7,1 93 12,0
 Male single parent 8 0,9 8 1,0 14 1,8
 Female single parent 57 7,2 48 6,1 79 10,1
Couple without children 385 48,3 417 52,8 411 52,7
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
2009 % 2014 % 2020 %
Ensemble 797 100,0 790 100,0 780 100,0
Without any 438 54,9 446 56,4 479 61,4
1 child 144 18,1 147 18,6 109 14,0
2 children 135 16,9 139 17,5 134 17,1
3 children 59 7,4 48 6,1 54 6,9
4 children or above 21 2,6 11 1,4 4 0,6
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

Housing in 2020

Municipality of Condette (62235)

LOG T1 - Number of dwellings by category since 1968

LOG T1 - Number of dwellings by category since 1968
1968(*) 1975(*) 1982 1990 1999 2009 2014 2020
Altogether 566 670 787 932 1 098 1 205 1 241 1 308
Main residences 449 554 680 807 952 1 060 1 096 1 120
Second homes 82 81 73 69 91 95 92 96
Vacant dwellings 35 35 34 56 55 49 53 93
  • (*) 1967 and 1974 for the overseas departments
  • Sources: Insee, RP1967 to 1999 counts, RP2009 to RP2020 main holdings.

LOG T2 - Types and categories of dwellings

LOG T2 - Types and categories of dwellings
2009 % 2014 % 2020 %
Altogether 1 205 100,0 1 241 100,0 1 308 100,0
Main residences 1 060 88,0 1 096 88,3 1 120 85,6
Second homes 95 7,9 92 7,4 96 7,3
Vacant dwellings 49 4,1 53 4,2 93 7,1
Houses 1 110 92,1 1 146 92,4 1 216 93,0
Flats 87 7,2 90 7,3 90 6,9
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T3 - Main residences by number of rooms

LOG T3 - Main residences by number of rooms
2009 % 2014 % 2020 %
Altogether 1 060 100,0 1 096 100,0 1 120 100,0
1 room 5 0,5 8 0,8 4 0,4
2 rooms 61 5,8 49 4,5 58 5,2
3 rooms 109 10,3 99 9,1 98 8,7
4 rooms 195 18,4 184 16,8 192 17,1
5 rooms and over 689 65,0 755 68,9 768 68,6
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T4 - Average number of rooms in main residences

LOG T4 - Average number of rooms in main residences
2009 2014 2020
All main residences 5,1 5,2 5,1
Houses 5,3 5,3 5,2
Flats 2,6 2,9 3,0
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T4bis - Main residences by over-occupation (except one room dwellings occupied by one person)

LOG T4bis - Main residences by over-occupation (except one room dwellings occupied by one person)
2009 2014 2020
Over-occupied 1,2 0,4 1,6
Non-over-occupied 98,8 99,6 98,4
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T5 - Main residences in 2020 by completion period

LOG T5 - Main residences in 2020 by completion period
Number %
Principal residences build before 2018 1 120 100,0
before 1919 80 7,2
from 1919 to 1945 86 7,7
from 1946 to 1970 251 22,4
from 1971 to 1990 394 35,2
from 1991 to 2005 198 17,7
from 2006 to 2017 110 9,8
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G1 - Main residences in 2020 by completion period and housing category

LOG G1 - Main residences in 2020 by completion period and housing category
House Flat
before 1919 75 4
from 1919 to 1945 81 5
from 1946 to 1970 239 13
from 1971 to 1990 390 4
from 1991 to 2005 180 18
from 2006 to 2017 104 6
  • Main residences built before 2018.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G1 - Main residences in 2020 by completion period and housing category

  • Main residences built before 2018.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG T6 - Main residence tenure in 2020

LOG T6 - Main residence tenure in 2020
Number of households Share of households in % Household population Average number of rooms
per dwelling per person
Altogether 1 120 100,0 2 482 5,1 2,3
Less than 2 years 72 6,4 162 4,6 2,0
From 2 to 4 years 148 13,2 389 4,4 1,7
From 5 to 9 years 152 13,5 405 5,0 1,9
10 years and over 748 66,8 1 526 5,4 2,6
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G2 - Households by main residence tenure in 2020

LOG G2 - Households by main residence tenure in 2020
Share of households in%
Less than 2 years 6,4
From 2 to 4 years 13,2
From 5 to 9 years 13,5
From 10 to 19 years 24,1
From 20 to 29 years 19,1
30 years and over 23,6
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G2 - Households by main residence tenure in 2020

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG T7 - Main residences by occupational status

LOG T7 - Main residences by occupational status
2009 2014 2020
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 1 060 100,0 1 096 100,0 1 120 100,0 2 482 19,2
Homeowner 846 79,8 863 78,7 883 78,8 1 938 22,0
Tenant 185 17,4 212 19,3 223 19,9 517 8,3
(including social sector housing) 76 7,2 113 10,4 94 8,4 222 10,0
Housed for free 29 2,8 21 2,0 14 1,3 27 17,5
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T8M - Main residences by material comfort

LOG T8M - Main residences by material comfort
2009 % 2014 % 2020 %
Altogether 1 060 100,0 1 096 100,0 1 120 100,0
Bathroom including a shower or a bath 1 033 97,4 1 076 98,2 1 084 96,8
Collective central heating 4 0,4 6 0,6 10 0,9
Individual central heating 566 53,4 567 51,7 574 51,3
Individual electric heating 337 31,8 361 32,9 358 32,0
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2009 % 2014 % 2020 %
Altogether 1 060 100,0 1 096 100,0 1 120 100,0
At least one parking spot 873 82,3 887 80,9 938 83,8
At least one car 953 89,9 985 89,9 1 019 91,0
1 car 459 43,3 462 42,1 478 42,7
2 cars and over 494 46,6 523 47,8 541 48,3
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

Education and training in 2020

Municipality of Condette (62235)

FOR T1 - Enrollment by age and sex in 2020

FOR T1 - Enrollment by age and sex in 2020
Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 88 77 87,1 89,8 84,2
6 to 10 years old 131 129 98,6 100,0 96,8
11 to 14 years old 109 109 100,0 100,0 100,0
15 to 17 years old 105 103 97,5 96,7 98,4
18 to 24 years old 119 65 55,0 54,6 55,5
25 to 29 years old 84 8 9,4 6,1 13,8
30 years old and over 1 821 10 0,6 0,2 0,8
  • Source: Insee, RP2020 principal exploitation, geography at the 01/01/2023.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
2009 2014 2020
2 to 5 years old 88,6 85,2 87,1
6 to 10 years old 98,6 98,0 98,6
11 to 14 years old 100,0 100,0 100,0
15 to 17 years old 96,2 98,4 97,5
18 to 24 years old 48,0 61,2 55,0
25 to 29 years old 2,4 3,9 9,4
30 years old and over 0,6 0,3 0,6
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FOR G1 - Enrollment rate by age (in %)

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2020

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2020
Altogether Male Female
Proportion of unschooled aged 15 years or above 1 944 921 1 023
Proportion of graduates in percentage
No diploma or primary education certificate 17,9 14,1 21,4
BEPC brevet des collèges or DNB 6,3 5,4 7,1
CAP, BEP or equivalent 21,7 24,5 19,1
Baccalauréat, brevet professionnel or equivalent 17,2 18,4 16,2
2 years at university 14,3 13,0 15,5
3 to 4 years at university 11,5 9,9 12,9
5 years and over at university 11,1 14,7 8,0
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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 %)
2009 2020
No diploma or primary education certificate 25,9 17,9
BEPC brevet des collèges or DNB 8,5 6,3
CAP, BEP or equivalent 18,8 21,7
Baccalauréat, brevet professionnel or equivalent 16,3 17,2
2 years and over at university 30,4 36,9
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2014 vintage.
  • Sources: Insee, RP2009, RP2020, main operations, geography as of 01/01/2023.

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 2014 vintage.
  • Sources: Insee, RP2009, RP2020, main operations, geography as of 01/01/2023.

Labor force, employment and unemployment within the sense of the census in 2020

Municipality of Condette (62235)

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

EMP T1 - Population aged 15 to 64 by economic activity status
2009 2014 2020
Altogether 1 658 1 605 1 480
Labor force in % 67,9 66,9 70,4
 including people in work in % 62,1 60,5 62,8
 including unemployed workers in % 5,9 6,4 7,5
Economically inactive people in % 32,1 33,1 29,6
 including pupils, students or interns in % 11,5 10,9 10,5
 including retirees in % 10,2 12,8 10,6
 including other economically inactive people in % 10,4 9,4 8,5
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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 1 480 1 041 70,4 929 62,8
 15 to 24 years old 224 65 28,8 44 19,5
 25 to 54 years old 782 721 92,1 657 83,9
 55 to 64 years old 473 256 54,1 229 48,4
Male 717 528 73,7 469 65,4
 15 to 24 years old 125 40 32,1 28 22,4
 25 to 54 years old 370 350 94,6 315 85,2
 55 to 64 years old 223 139 62,3 126 56,8
Female 763 513 67,2 460 60,3
 15 to 24 years old 99 25 24,8 16 15,8
 25 to 54 years old 413 371 89,8 342 82,8
 55 to 64 years old 251 117 46,7 103 41,0
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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 62,8
Unemployed workers 7,5
Retirees 10,6
Pupils, students or interns 10,5
Other economically inactive people 8,5
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification
2009 including people in work 2014 including people in work 2020 including people in work
Altogether 1 106 1 020 1 059 960 1 073 925
including
 Farmer operators 4 4 8 8 5 5
 Handicrafters, traders and business leaders 135 131 94 94 98 89
 Managers and higher intellectual professions 227 211 261 249 177 173
 Middle-level occupations 287 267 327 311 284 275
 Services employee 275 255 203 163 281 227
 Blue-collar workers 163 152 167 135 205 156
  • Sources: Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
2009 2014 2020
Number of unemployed workers 97 103 112
Unemployment rate in % 8,6 9,6 10,7
Unemployment of the 15-24 aged 30,0 41,5 32,5
Unemployment of the 25-54 aged 6,9 6,9 8,9
Unemployment of the 55-64 aged 5,4 10,2 10,4
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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 22,8
BEPC brevet des collèges or DNB 12,8
CAP, BEP or equivalent 14,9
Baccalauréat, brevet professionnel or equivalent 14,8
2 years at university 6,9
3 to 4 years at university 4,5
5 years and over at university 5,0
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
2009 2014 2020
Number of jobs in the area 449 426 452
People in work living in the area 1 039 989 969
Employment concentration indicator 43,2 43,1 46,7
Activity rate of 15 years old and over in % 52,9 50,8 50,7
  • 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, RP2009, RP2014 and RP2020, main holdings, place of residence and place of work, geography as of 01/01/2023.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2009 % 2014 % 2020 %
Altogether 449 100,0 426 100,0 452 100,0
Employee 359 80,0 317 74,3 349 77,2
 including women 186 41,4 156 36,7 189 41,8
 including part-time workers 119 26,5 88 20,7 97 21,5
Non-employee 90 20,0 109 25,7 103 22,8
 including women 32 7,1 44 10,4 45 10,0
 including part-time workers 7 1,5 26 6,0 14 3,1
  • Sources: Insee, RP2009, RP2014 and RP2020, main workplaces, geography as of 01/01/2023.

EMP T7 - Employment by socioprofessional activity in 2020

EMP T7 - Employment by socioprofessional activity in 2020
Number %
Altogether 464 100,0
Farmer operators 5 1,0
Handicrafters, traders, business leaders 65 14,0
Managers and higher intellectual professions 26 5,5
Middle-level occupations 101 21,7
Services employee 180 38,7
Blue-collar workers 89 19,1
  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2009 2014 2020
Farmer operators 0,9 3,1 1,0
Handicrafters, traders, business leaders 8,8 11,5 14,0
Managers and higher intellectual professions 8,7 8,3 5,5
Middle-level occupations 18,2 17,3 21,7
Services employee 37,9 23,1 38,7
Blue-collar workers 25,6 36,7 19,1
  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP G3 - Employment by socioprofessional activity

  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
2009 2014 2020
Number % Number % Number % including women in % including employees %
Altogether 459 100,0 383 100,0 464 100,0 51,4 79,6
Agriculture 8 1,7 21 5,6 10 2,2 0,0 100,0
Industry 51 11,1 55 14,4 30 6,4 17,6 82,4
Construction 51 11,2 55 14,3 47 10,2 0,0 67,0
Wholesale and retail trade/transports/accommodations and food service activities 199 43,4 146 38,1 173 37,2 48,0 71,7
Public administration/education/healthcare/social work 150 32,7 105 27,5 204 44,0 73,8 87,7
  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020
Employees Non-employees
Agriculture 0,0
Industry 0,0 100,0
Construction 0,0 0,0
Wholesale and retail trade, transports, accommodations and food service activities 50,8 40,7
Public administration, education, healthcare, social work 73,0 79,6
  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020

  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

Employment characteristics within the sense of the census in 2020

Municipality of Condette (62235)

ACT T1 - People in work aged 15 years and over by status in 2020

ACT T1 - People in work aged 15 years and over by status in 2020
Number % of which % part-time of which % women
Altogether 969 100,0 20,6 48,5
Employees 752 77,7 22,5 53,0
Non-employees 216 22,3 14,0 32,6
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT T2 - Status and employment conditions of 15 years and over by sex in 2020

ACT T2 - Status and employment conditions of 15 years and over by sex in 2020
Male % Female %
Altogether 499 100 469 100
Employees 354 70,8 399 85,0
 Tenured personnel and open-ended employment contracts 318 63,6 351 74,9
 Fixed-term contracts 19 3,8 33 7,1
 Temporary employment 5 0,9 7 1,5
 Assisted jobs 3 0,6 6 1,3
 Apprenticeship contracts - Traineeship 9 1,9 1 0,2
Non-employees 146 29,2 70 15,0
 Self-employed 49 9,9 38 8,0
 Employers 96 19,3 31 6,5
 Caregivers 0 0,0 2 0,4
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT T3 - Employees aged 15 to 64 by sex, age, and part-time jobs in 2020

ACT T3 - Employees aged 15 to 64 by sex, age, and part-time jobs in 2020
Male of which % part-time Female of which % part-time
Altogether 341 8,9 394 32,6
15 to 24 years old 26 36,4 15 46,6
25 to 54 years old 233 6,7 285 30,1
55 to 64 years old 82 6,3 94 38,1
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %
2009 2014 2020
Male 5,9 6,7 10,3
Female 37,6 36,2 33,2
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT T4 - Working place of people in work aged 15 years and over living in the area

ACT T4 - Working place of people in work aged 15 years and over living in the area
2009 % 2014 % 2020 %
Altogether 1 039 100 989 100 969 100
working:
in the same municipality they live in 199 19,1 178 18,0 182 18,8
in a different municipality 840 80,9 811 82,0 787 81,2
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT G2 - Usual method of travel to work in 2020

ACT G2 - Usual method of travel to work in 2020
in %
No travel 4,5
Walk 1,8
Bicycle 0,3
Motorized two-wheel vehicle 0,6
Car or truck 90,5
Public transportation 2,4
  • Scope: people in work aged 15 and over.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT G2 - Usual method of travel to work in 2020

  • Scope: people in work aged 15 and over.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

Births and Deaths of people with usual residence in the area, 2014-2022

Municipality of Condette (62235)

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 2022
Domiciled deaths 29 22 26 29 17 23 34 28 30
Domiciled births 8 17 13 7 6 16 17 14 17
  • Source: Insee, civil status statistics in geography as of 01/01/2023.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2023.

Household income and poverty in 2021

Municipality of Condette (62235)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
2021
Number of tax households 1 126
Number of people in tax households 2 580
Median disposable income (per consumption unit in euros) 28 750
Share of actually taxed tax households (in %) 65
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV G1 - Poverty rate by age range of the reference fiscal person in 2021

REV G1 - Poverty rate by age range of the reference fiscal person in 2021
Rate in %
Altogether
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 01/01/2023.

REV G1 - Poverty rate by age range of the reference fiscal person in 2021

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021
Rate in %
Altogether
Homeowner
Tenant
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
share in %
Altogether 100,0
Work income 68,1
including wages 53,6
including unemployment pensions 1,9
including self-employed income 12,6
Retirement pension or annuity 36,0
Capital income (real estate, financial, others) 15,1
Social benefits 2,5
including child benefit 0,9
including income support 1,1
including housing benefit 0,5
Tax –21,7
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
2021
Median disposable income (per consumption unit in euros) 28 750
Inter-decile ratio 3,7
1st decile (in euros) 15 130
9th decile (in euros) 56 390
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

Salaries and earned income in 2021

Municipality of Condette (62235)

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021
Altogether Female Male
Altogether 19,9 15,5 22,9
Managerial staff* * 31,7 24,0 35,1
Intermediate professions* 18,1 15,6 20,3
Employees* 12,6 11,5 15,3
Workers* 12,1 10,6 12,5
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021
Difference (in%)
Altogether –32,3
Managerial staff* * –31,8
Intermediate professions* –23,1
Employees* –24,7
Workers* –14,9
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL T1 - Net average hourly wage (in euros) by age in 2021

SAL T1 - Net average hourly wage (in euros) by age in 2021
Altogether Female Male
15 to 25 years old 10,4 10,6 10,3
26 to 50 years old 17,8 15,3 19,8
50 years old or above 25,5 17,2 30,4
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021
Gender pay gap (in%)
15 to 25 years old 2,1
26 to 50 years old –22,9
50 years old or above –43,6
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021

  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

Business and establishment set-ups in 2022

Municipality of Condette (62235)

DEN T1 - Business set-ups by sector of activity in 2022

DEN T1 - Business set-ups by sector of activity in 2022
Company set-ups Of which sole proprietorships
Number % Number %
Altogether 26 100,0 16 61,5
Industry 1 3,8 1 100,0
Construction 0 0,0 0
Wholesale and retail trade/transports/accommodations and food service activities 6 23,1 4 66,7
Information/communication 0 0,0 0
Finance and insurance activities 5 19,2 1 20,0
Real estate activities 1 3,8 0 0,0
Professional/scientific/technical activites/administrative and support service activities 6 23,1 5 83,3
Public administration/education/healthcare/social work 3 11,5 3 100,0
Other service activities 4 15,4 2 50,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2023.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Altogether 18 15 18 9 25 17 14 20 28 26
Sole proprietorship 11 11 9 7 17 10 12 17 20 16
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN T4 - Business set-ups by economic sectors in 2022

DEN T4 - Business set-ups by economic sectors in 2022
Altogether %
Altogether 33 100,0
Industry 2 6,1
Construction 0 0,0
Wholesale and retail trade/transports/accommodations and food service activities 7 21,2
Information/communication 0 0,0
Finance and insurance activities 7 21,2
Real estate activities 1 3,0
Professional/scientific/technical activites/administrative and support service activities 6 18,2
Public administration/education/healthcare/social work 6 18,2
Other service activities by the number of business creations including free lancers 4 12,1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Créations d'établissements 17 23 16 10 26 20 14 24 28 33
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G3 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

Number of enterprises and establishments in 2021

Municipality of Condette (62235)

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

DEN T3 - Number of enterprises by economic sector on the 31st of December 2020
Number %
Altogether 157 100,0
Industry 4 2,5
Construction 14 8,9
Wholesale and retail trade/transports/accommodations and food service activities 34 21,7
Information/communication 1 0,6
Finance and insurance activities 8 5,1
Real estate activities 15 9,6
Professional/scientific/technical activites/administrative and support service activities 27 17,2
Public administration/education/human health/social work 37 23,6
Other service activities 17 10,8
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

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

DEN T5 - Number of establishments by economic sector on the 31st of December 2020
Number %
Altogether 163 100,0
Industry 6 3,7
Construction 14 8,6
Wholesale and retail trade/transports/accommodations and food service activities 33 20,2
Information/communication 1 0,6
Finance and insurance activities 10 6,1
Real estate activities 14 8,6
Professional/scientific/technical activites/administrative and support service activities 30 18,4
Public administration/education/human health/social work 39 23,9
Other service activities 16 9,8
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2024

Municipality of Condette (62235)

TOU T1 - Number and capacity of hotels on the 1st of January 2024

TOU T1 - Number and capacity of hotels on the 1st of January 2024
Number of stars 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 01/01/2023.

TOU T2 - Number and capacity of campsites on the 1st of January 2024

TOU T2 - Number and capacity of campsites on the 1st of January 2024
Number of stars Campsites Pitches
Altogether 1 70
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 1 70
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2023.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2024

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2024
Type of accomodation Accommodation Number of bed places (1)
Altogether 0 0
Tourist accommodations 0 0
Holiday villages or private homes 0 0
Youth hostels or sports center 0 0
  • (1) rooms, apartments, dormitories ...
  • Source: Insee, territorial partners in geography as of 01/01/2023.

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 birthsare 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 deathsare 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.

Business Demography Information System (SIDE)

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

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

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

Register of enterprises and establishments (REE)

The indicators relate to the number of businesses and legal units of all non-agricultural market activities. This scope 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.

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 2009, 2014, 2020: dissemination in the municipalities of France outside Mayotte in geography on 2023;

Vital statistics: distribution to all municipalities in France in geography as of 2023;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2023;

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 01/01/2023;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2023;

Business Demography Information System (SIDE) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2023;

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 01/01/2023

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.