données locales

Paru le : 01/04/2025

Full set of local data Municipality of Vignacourt (80793)

Detailed figures
Paru le :Paru le01/04/2025
- April 2025

The presented data are disseminated using 2024 geography, for all sources. For reasons of statistical confidentiality, some indicators may not be provided.

Growth and structure of the population in 2021

Municipality of Vignacourt (80793)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2010 % 2015 % 2021 %
Altogether 2 372 100,0 2 372 100,0 2 299 100,0
0 to 14 years old 490 20,7 454 19,1 388 16,9
15 to 29 years old 356 15,0 380 16,0 341 14,8
30 to 44 years old 549 23,1 491 20,7 422 18,3
45 to 59 years old 452 19,1 477 20,1 491 21,4
60 to 74 years old 361 15,2 394 16,6 443 19,3
75 and over 164 6,9 176 7,4 215 9,3
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2010 2015 2021
0 to 14 years old 20,7 19,1 16,9
15 to 29 years old 15,0 16,0 14,8
30 to 44 years old 23,1 20,7 18,3
45 to 59 years old 19,1 20,1 21,4
60 to 74 years old 15,2 16,6 19,3
75 and over 6,9 7,4 9,3
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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 2010 2015 2021
Population 1 828 2 007 2 369 2 294 2 183 2 372 2 372 2 299
Average density (inhab / km²) 62,8 69,0 81,4 78,8 75,0 81,5 81,5 79,0
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2024.
  • Sources: Insee, RP1967 to 1999 counts, RP2010 to RP2021 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
Demographic indicators 1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2010 2010 to 2015 2015 to 2021
Average annual change in population in % 1,3 2,4 –0,4 –0,5 0,8 0,0 –0,5
due to the natural balance in % 0,5 0,4 0,2 0,3 0,4 0,4 0,3
due to the apparent balance of inflows and outflows in % 0,9 2,0 –0,6 –0,8 0,4 –0,4 –0,8
Natality rate (‰) 17,2 13,9 11,0 11,5 12,2 11,1 10,5
Mortality rate (‰) 12,4 10,2 8,6 8,7 8,6 6,7 7,7
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2024
  • Sources: Insee, RP1968 to 1999 counts, RP2010 to RP2021 main holdings - Civil status

POP T3 - Population by age and sex in 2021

POP T3 - Population by age and sex in 2021
Age Male % Female %
Altogether 1 127 100,0 1 172 100,0
0 to 14 years old 201 17,8 187 16,0
15 to 29 years old 168 14,9 172 14,7
30 to 44 years old 198 17,6 223 19,1
45 to 59 years old 253 22,4 239 20,4
60 to 74 years old 213 18,9 230 19,6
75 to 89 years old 85 7,5 109 9,3
90 years and over 9 0,8 11 1,0
0 to 19 years old 262 23,2 251 21,4
20 to 64 years old 630 55,9 652 55,7
65 and over 236 20,9 268 22,9
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
Home adress 2015 % 2021 %
People one year old and over, previously living: 2 348 100,0 2 278 100,0
In the same house 2 134 90,9 2 099 92,2
In another house in the same town 66 2,8 43 1,9
In another town 148 6,3 136 6,0
  • Source: Insee, RP2015, RP2021 main operations, geography as of 01/01/2024.

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 37,7 62,3
15 to 24 years old 16,7 83,3
25 to 54 years old 21,5 78,5
55 years old and over 20,1 79,9
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

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

  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

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

POP T5 - Population aged 15 years and over by socioprofessional classification
socioprofessional classification 2010 % 2015 % 2021 %
Altogether 1 900 100,0 1 865 100,0 1 874 100,0
Farmer operators 4 0,2 35 1,9 30 1,6
Craftsmen, traders, business leaders 76 4,0 55 2,9 55 2,9
Managers and higher intellectual professions 128 6,7 120 6,4 163 8,7
Middle-level occupations 260 13,7 345 18,5 317 16,9
Services employee 388 20,4 275 14,7 263 14,0
Blue-collar workers 304 16,0 265 14,2 250 13,3
Retirees 480 25,3 525 28,2 585 31,2
Other people with no professional activity 260 13,7 245 13,1 212 11,3
  • Sources: Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2021

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2021
socioprofessional classification Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 884 990 100,0 100,0 100,0
Farmer operators 20 10 0,0 3,2 0,0
Craftsmen, traders, business leaders 25 30 0,0 5,4 0,7
Managers and higher intellectual professions 94 69 0,0 17,1 0,7
Middle-level occupations 144 173 6,7 28,4 5,5
Services employee 64 199 17,9 19,3 6,2
Blue-collar workers 192 58 15,8 22,8 0,7
Retirees 267 318 0,0 0,5 79,4
Other people without professional activity 78 133 59,6 3,2 6,9
  • Source: Insee, RP2021 additional operation, geography as of 01/01/2024.

Couples – Family – Households in 2021

Municipality of Vignacourt (80793)

FAM T1 - Households by composition

FAM T1 - Households by composition
household type Number of households Household population
2010 % 2015 % 2021 % 2010 2015 2021
Altogether 940 100,0 955 100,0 1 006 100,0 2 360 2 340 2 302
One-person households (male and female) 200 21,3 225 23,6 277 27,5 200 225 277
 Single Male 64 6,8 95 9,9 113 11,2 64 95 113
 Single Female 136 14,5 130 13,6 164 16,3 136 130 164
Other households without families 8 0,9 10 1,0 20 2,0 16 20 50
Family households : 732 77,9 720 75,4 709 70,5 2 144 2 095 1 975
 Couple without children 316 33,6 280 29,3 302 30,0 640 570 609
 Couple with children 352 37,4 345 36,1 327 32,5 1 332 1 305 1 191
 Single parent 64 6,8 95 9,9 80 8,0 172 220 175
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

FAM T1bis - The detailed composition of single-family households.

FAM T1bis - The detailed composition of single-family households.
Single-family households Number of households % Household population
Altogether 704 100,0 1 951
Couple without children 302 42,6 609
Couple with children 322 45,4 1 168
Couples with only children of the couple 283 40,0 1 008
Couples with at least one child of only one member of the couple 39 5,5 159
Single-parent family 80 11,3 175
Single man with child(ren) 10 1,4 20
Single woman with child(ren) 70 9,9 155
  • Sources : Insee, RP2021, additional operations, geography as of 01/01/2024.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2010 2015 2021
Average number of occupants per main residence 3,07 3,08 3,15 2,95 2,69 2,52 2,46 2,29
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2024.
  • Sources : Insee, RP1967 to 1999 counts RP2010 to RP2021 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 01/01/2024.
  • Sources : Insee, RP1967 to 1999 counts RP2010 to RP2021 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
2010 2015 2021
15 to 19 years old 0,0 0,6 1,6
20 to 24 years old 4,4 3,1 4,3
25 to 39 years old 5,4 5,4 7,7
40 to 54 years old 8,4 9,6 10,1
55 to 64 years old 10,0 12,6 19,0
65 to 79 years old 21,7 18,9 20,8
80 and above 42,4 52,0 45,4
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

FAM G3 - Proportion of couple families aged 15 years or over
2010 2015 2021
15 to 19 years old 1,6 3,7 0,8
20 to 24 years old 31,9 29,9 40,8
25 to 39 years old 83,5 77,5 78,1
40 to 54 years old 79,3 77,4 78,7
55 to 64 years old 86,0 80,1 73,9
65 to 79 years old 71,0 78,2 76,4
80 and above 50,0 39,0 50,0
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FAM G4 - Marital status of the population aged 15 years or over in 2021

FAM G4 - Marital status of the population aged 15 years or over in 2021
%
Married 48,5
Civil partnership 5,8
In cohabitation 14,0
Widowed 6,2
Divorced 5,5
Single 20,1
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

FAM G4 - Marital status of the population aged 15 years or over in 2021

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

FAM T2 - Households by socio-economic classification of the reference person in 2021

FAM T2 - Households by socio-economic classification of the reference person in 2021
Number of households % Household population %
Altogether 1 006 100,0 2 302 100,0
Farmer operators 20 2,0 44 1,9
Craftsmen, traders, business leaders 35 3,5 79 3,4
Managers and higher intellectual professions 89 8,9 250 10,9
Intermediate professions 189 18,8 507 22,0
Employees 175 17,4 425 18,5
Workers 123 12,3 381 16,5
Retirees 344 34,3 565 24,5
Other people without professional activity 30 3,0 50 2,2
  • Sources : Insee, RP2021 additional operation, geography as of 01/01/2024.

FAM G5 - Households by socio-economic classification of the reference person in 2021

FAM G5 - Households by socio-economic classification of the reference person in 2021
%
Farmer operators 2,0
Handicrafters, traders, business leaders 3,5
Managers and higher intellectual professions 8,9
Intermediate professions 18,8
Employees 17,4
Workers 12,3
Retirees 34,3
Unemployed persons 3,0
  • Sources : Insee, RP2021 additional operation, geography as of 01/01/2024.

FAM G5 - Households by socio-economic classification of the reference person in 2021

  • Sources : Insee, RP2021 additional operation, geography as of 01/01/2024.

FAM T3 - Families composition

FAM T3 - Families composition
2010 % 2015 % 2021 %
Altogether 736 100,0 720 100,0 714 100,0
Couple with children 352 47,8 345 47,9 327 45,8
Single parent 68 9,2 95 13,2 85 11,9
 Male single parent 8 1,1 15 2,1 5 0,7
 Female single parent 60 8,2 80 11,1 80 11,2
Couple without children 316 42,9 280 38,9 302 42,3
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

FAM T3bis - Detailed composition of families composed of couples with child(ren)

FAM T3bis - Detailed composition of families composed of couples with child(ren)
Couple with child(ren) 2021 %
Altogether 327 100,0
Traditional family 288 88,2
Blended family 39 11,8
  • Sources : Insee, RP2021, additional operations, geography as of 01/01/2024.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
2010 % 2015 % 2021 %
Altogether 736 100,0 720 100,0 714 100,0
Without any 360 48,9 330 45,8 337 47,2
1 child 176 23,9 185 25,7 227 31,9
2 children 128 17,4 150 20,8 116 16,3
3 children 52 7,1 45 6,3 29 4,0
4 children or above 20 2,7 10 1,4 5 0,7
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

Housing in 2021

Municipality of Vignacourt (80793)

LOG T1 - Growth estimates of the number of housings by category since 1968

LOG T1 - Growth estimates of the number of housings by category since 1968
1968(*) 1975(*) 1982 1990 1999 2010 2015 2021
Altogether 674 749 856 863 868 1 008 1 042 1 089
Principal residences 595 651 753 777 812 941 963 1 005
Secondary residences 35 26 21 19 15 1 7 5
Vacant accommodations 44 72 82 67 41 66 72 79
  • (*) 1967 and 1974 for the overseas departments
  • Sources : Insee, RP1967 to 1999 counts, RP2010 to RP2021 main holdings.

LOG T2 - Types and categories of housings

LOG T2 - Types and categories of housings
2010 % 2015 % 2021 %
Altogether 1 008 100,0 1 042 100,0 1 089 100,0
Principal residence 941 93,4 963 92,4 1 005 92,3
Secondary residences 1 0,1 7 0,7 5 0,5
Vacant accommodations 66 6,5 72 6,9 79 7,3
houses 973 96,5 1 011 97,0 1 050 96,5
flats 35 3,5 29 2,8 36 3,3
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T3 - Principal residences by number of rooms

LOG T3 - Principal residences by number of rooms
2010 % 2015 % 2021 %
Altogether 941 100,0 963 100,0 1 005 100,0
1 room 0 0,0 1 0,1 0 0,0
2 rooms 35 3,7 33 3,4 39 3,8
3 rooms 122 13,0 113 11,7 124 12,3
4 rooms 275 29,2 248 25,8 255 25,4
5 rooms or above 509 54,1 568 59,0 587 58,4
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T4 - Principal residences average number of rooms

LOG T4 - Principal residences average number of rooms
2010 2015 2021
All main residences 4,8 4,8 4,9
House 4,8 4,9 4,9
Flat 3,1 2,8 2,9
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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)
2010 2015 2021
Over-occupied 1,3 0,0 1,5
Non-over-occupied 98,7 100,0 98,5
  • Sources: Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

LOG T5 - Principal residences in 2021 by completion period

LOG T5 - Principal residences in 2021 by completion period
Number %
Principal residences build before 2019 996 100,0
before 1919 184 18,5
from 1919 to 1945 109 10,9
from 1946 to 1970 175 17,6
from 1971 to 1990 277 27,8
from 1991 to 2005 112 11,2
from 2006 to 2015 139 14,0
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G1 - Principal residences in 2021 by completion period and housing category

LOG G1 - Principal residences in 2021 by completion period and housing category
House Flat
before 1919 176 7
from 1919 to 1945 108 1
from 1946 to 1970 171 4
from 1971 to 1990 272 4
from 1991 to 2005 105 6
from 2006 to 2018 130 9
  • Main residences built before 2019.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G1 - Principal residences in 2021 by completion period and housing category

  • Main residences built before 2019.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG T6 - Housing tenure of the main residences in 2021

LOG T6 - Housing tenure of the main residences in 2021
Number of households Share of households in % Household population Average number of pieces per
lodging person
Altogether 1 005 100,0 2 298 4,9 2,1
Less than 2 years ago 100 10,0 215 4,2 1,9
From 2 to 4 years ago 138 13,8 353 4,6 1,8
From 5 to 9 years ago 129 12,8 350 4,5 1,7
10 years ago or above 637 63,4 1 380 5,1 2,3
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G2 - Households’ Housing tenure in 2021

LOG G2 - Households’ Housing tenure in 2021
Share of households in%
Less than 2 years ago 10,0
From 2 to 4 years ago 13,8
From 5 to 9 years ago 12,8
From 10 to 19 years ago 20,2
From 20 to 29 years ago 12,1
30 years ago or above 31,1
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G2 - Households’ Housing tenure in 2021

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG T7 - Principal residences by occupational status

LOG T7 - Principal residences by occupational status
2010 2015 2021
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 941 100,0 963 100,0 1 005 100,0 2 298 20,6
Homeowner 779 82,8 784 81,4 814 81,0 1 911 23,6
Tenant 152 16,2 167 17,3 175 17,4 357 6,4
(including public tenants) 6 0,6 11 1,1 8 0,8 12 2,9
Housed for free 10 1,1 12 1,2 16 1,6 31 23,0
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T8M - Principal residences by material comfort

LOG T8M - Principal residences by material comfort
2010 % 2015 % 2021 %
Altogether 941 100,0 963 100,0 1 005 100,0
Bathroom including a shower or a bath 893 94,9 934 97,0 949 94,5
Collective central heating 2 0,2 2 0,2 5 0,5
Individual central heating 571 60,7 583 60,5 581 57,8
Individual electric heating 172 18,3 191 19,8 220 21,9
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2010 % 2015 % 2021 %
Altogether 941 100,0 963 100,0 1 005 100,0
At least one parking spot 628 66,7 666 69,2 714 71,1
At least one car 839 89,2 864 89,7 921 91,7
1 car 399 42,4 411 42,7 443 44,1
2 cars or above 440 46,8 453 47,0 478 47,6
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

Education and training in 2021

Municipality of Vignacourt (80793)

FOR T1 - Enrollment by age and sex in 2021

FOR T1 - Enrollment by age and sex in 2021
Age Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 96 74 77,6 81,0 73,7
6 to 10 years old 127 126 99,2 100,0 98,5
11 to 14 years old 123 119 96,9 98,6 94,7
15 to 17 years old 82 82 100,0 100,0 100,0
18 to 24 years old 163 73 45,1 36,5 52,5
25 to 29 years old 95 1 1,0 0,0 2,1
30 years old and over 1 571 3 0,2 0,1 0,3
  • Source: Insee, RP2021 principal exploitation, geography at the 01/01/2024.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
Age 2010 2015 2021
2 to 5 years old 75,4 88,6 77,6
6 to 10 years old 99,4 98,8 99,2
11 to 14 years old 98,5 99,2 96,9
15 to 17 years old 98,8 93,8 100,0
18 to 24 years old 43,3 45,6 45,1
25 to 29 years old 3,4 0,8 1,0
30 years old and over 0,7 0,8 0,2
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FOR G1 - Enrollment rate by age (in %)

  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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
Diploma Altogether Male Female
Proportion of unschooled aged 15 years or above 1 752 855 897
Proportion of graduates in percentage
No diploma or primary education certificate 22,5 19,5 25,4
BEPC brevet des collèges or DNB 5,4 4,4 6,3
CAP, BEP or equivalent 29,4 34,7 24,4
Baccalauréat, brevet professionnel or equivalent 17,9 20,0 15,8
2 years at university 12,2 10,7 13,6
3 to 4 years at university 7,7 6,3 9,1
5 years and over at university 4,9 4,4 5,4
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

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 %)
2010 2021
No diploma or primary education certificate 30,4 22,5
BEPC brevet des collèges or DNB 6,4 5,4
CAP, BEP or equivalent 29,4 29,4
Baccalauréat, brevet professionnel or equivalent 15,6 17,9
2 years and over at university 18,2 24,8
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2015 vintage.
  • Sources: Insee, RP2010, RP2021, main operations, geography as of 01/01/2024.

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 2015 vintage.
  • Sources: Insee, RP2010, RP2021, main operations, geography as of 01/01/2024.

Active population, employment and unemployment within the meaning of the census in 2021

Municipality of Vignacourt (80793)

EMP T1 - Population aged 15 to 64 by economic activity

EMP T1 - Population aged 15 to 64 by economic activity
Economic activity 2010 2015 2021
Altogether 1 514 1 501 1 407
Working age adult in % 72,6 74,3 77,1
 including working age adults with a job in % 65,6 65,0 70,2
 including unemployed workers in % 7,0 9,3 6,9
Economically inactive people in % 27,4 25,7 22,9
 including pupils, students or interns in % 8,1 9,3 9,1
 including retirees in % 12,7 9,6 8,4
 including other economically inactive people in % 6,6 6,9 5,4
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2021

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2021
Sex and age Population Active people Activity rate in % Working people Employment rate in %
Altogether 1 407 1 085 77,1 988 70,2
 15 to 24 years old 245 110 44,8 88 36,0
 25 to 54 years old 866 829 95,7 766 88,5
 55 to 64 years old 296 146 49,4 133 45,0
Male 691 545 79,0 500 72,3
 15 to 24 years old 119 56 47,6 47 39,4
 25 to 54 years old 432 419 97,0 391 90,6
 55 to 64 years old 140 70 50,0 62 44,2
Female 717 540 75,3 488 68,1
 15 to 24 years old 127 53 42,2 42 32,9
 25 to 54 years old 434 410 94,4 375 86,4
 55 to 64 years old 156 76 48,9 71 45,7
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP G1 - Population aged 15 to 64 by economic activity category in 2021

EMP G1 - Population aged 15 to 64 by economic activity category in 2021
Population (%)
Working age adults who have a job 70,2
Unemployed workers 6,9
Retirees 8,4
Pupils, students or interns 9,1
Other economically inactive people 5,4
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP G1 - Population aged 15 to 64 by economic activity category in 2021

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP T3 - Population aged 15 to 64 by socio-economic classification

EMP T3 - Population aged 15 to 64 by socio-economic classification
Socio-economic classification 2010 including working people 2015 including working people 2021 including working people
Altogether 1 164 1 080 1 085 985 1 077 997
including nd nd nd nd nd nd
 Farmer operators 4 4 35 35 30 30
 Handicrafters, traders and business leaders 76 68 55 55 55 50
 Managers and higher intellectual professions 128 124 120 120 157 148
 Intermediate professions 260 252 340 325 317 297
 Employees 388 364 270 245 258 243
 Workers 304 268 265 205 250 230
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
Number of unemployed workers and unemployment rate 2010 2015 2021
Number of unemployed workers 106 139 97
Unemployment rate in % 9,6 12,5 8,9
Unemployment of the 15-24 aged 31,8 33,6 19,7
Unemployment of the 25-54 aged 7,3 10,1 7,5
Unemployment of the 55-64 aged 6,2 10,8 9,0
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation
Taux de chômage en %
No diploma or primary education certificate 16,3
BEPC brevet des collèges or DNB 8,3
CAP, BEP or equivalent 13,1
Baccalauréat, brevet professionnel or equivalent 8,3
2 years at university 6,7
3 to 4 years at university 3,2
5 years or more at university 2,5
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
Employment activity 2010 2015 2021
Number of jobs in the area 344 332 301
Working age adult living in the area 994 980 992
Occupational concentration by industry 34,6 33,9 30,3
employment rate of 15 years old or above in % 58,4 58,3 57,0
  • The employment concentration indicator is equal to the number of jobs in the zone per 100 active persons with a job residing in the zone.
  • Sources : Insee, RP2010, RP2015 and RP2021, main holdings, place of residence and place of work, geography as of 01/01/2024.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
Working status 2010 % 2015 % 2021 %
Altogether 344 100,0 332 100,0 301 100,0
Employee 260 75,5 239 71,9 214 71,1
 including women 139 40,3 119 35,9 122 40,4
 including partial time jobs 66 19,3 68 20,5 49 16,2
Non-employee 84 24,5 93 28,1 87 28,9
 including women 26 7,6 38 11,4 38 12,6
 including partial time jobs 3 0,9 15 4,5 7 2,3
  • Sources : Insee, RP2010, RP2015 and RP2021, main workplaces, geography as of 01/01/2024.

EMP T7 - Employment by socio-economic activity in 2021

EMP T7 - Employment by socio-economic activity in 2021
Socio-economic activity Number %
Altogether 333 100,0
Farmer operators 20 6,0
Handicrafters, traders, business leaders 65 19,4
Managers and higher intellectual professions 24 7,2
Intermediate professions 70 20,9
Employees 90 27,0
Workers 65 19,5
  • Source : Insee, RP2021 additional operation at the workplace, geography as of 01/01/2024.

EMP G3 - Employment by socio-economic activity

EMP G3 - Employment by socio-economic activity
2010 2015 2021
Farmer operators 0,0 9,1 6,0
Handicrafters, traders, business leaders 12,3 9,4 19,4
Managers and higher intellectual professions 7,0 11,6 7,2
Intermediate professions 17,2 22,4 20,9
Employees 37,9 25,7 27,0
Workers 25,7 21,8 19,5
  • Sources: Insee, RP2010, RP2015 and RP2021, additional work place of work, geography as of 01/01/2024.

EMP G3 - Employment by socio-economic activity

  • Sources: Insee, RP2010, RP2015 and RP2021, additional work place of work, geography as of 01/01/2024.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
Economic sector 2010 2015 2021
Number % Number % Number % including women in % including employees %
Altogether 310 100,0 330 100,0 333 100,0 52,1 72,3
Agriculture 12 3,9 30 9,1 35 10,5 28,7 42,9
Industry 54 17,6 68 20,6 35 10,5 28,5 56,6
Construction 66 21,4 41 12,4 24 7,3 0,0 40,5
Wholesale and retail trade/transports/accommodations and food service activities 66 21,2 72 21,9 137 41,3 53,6 74,6
Public administration/education/human health/social work 112 36,0 119 36,0 101 30,4 78,9 92,3
  • Sources : Insee, RP2010, RP2015 and RP2021, additional work place of work, geography as of 01/01/2024.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2021

EMP G4 - Feminisation rate of employment by status and economic sectors in 2021
Employees Non-employees
Agriculture 33,4 25,2
Industry 24,6 33,7
Construction 0,0 0,0
Wholesale and retail trade, transports, accommodations and food service activities 47,5 71,6
Public administration, education, human health, social work 85,5 0,0
  • Source : Insee, RP2021 additional operation at the workplace, geography as of 01/01/2024.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2021

  • Source : Insee, RP2021 additional operation at the workplace, geography as of 01/01/2024.

Characteristics of employment in the sense of the census in 2021

Municipality of Vignacourt (80793)

ACT T1 - Population aged 15 years or over having a job by status in 2021

ACT T1 - Population aged 15 years or over having a job by status in 2021
Employment status Number % of which % part-time of which % women
Altogether 992 100,0 12,4 49,4
Employees 883 89,0 12,7 50,3
Non-employees 109 11,0 10,0 42,6
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2021

ACT T2 - Status and employment conditions of 15 years or over by sex in 2021
Employment status and conditions Male % Female %
Altogether 502 100 490 100
Employees 439 87,5 444 90,5
 Tenured personnel and open-ended employment contracts 395 78,7 385 78,4
 Fixed-term employment contracts 17 3,3 31 6,2
 Temporary employment 17 3,4 9 1,8
 Assisted jobs 2 0,4 3 0,6
 Apprentice ship contract - Traineeship 9 1,7 17 3,4
Non-employees 62 12,5 46 9,5
 Independents 32 6,3 29 5,8
 Employers 31 6,1 17 3,4
 Caregivers 0 0,0 1 0,2
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2021

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2021
Age Male of which% part-time Female of which% part-time
Altogether 438 3,4 442 21,6
15 to 24 years old 45 8,7 41 34,0
25 to 54 years old 344 2,3 337 19,1
55 to 64 years old 50 6,0 64 26,7
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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
Sex 2010 2015 2021
Male 3,7 7,4 3,3
Female 26,9 29,0 22,0
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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
Work Area 2010 % 2015 % 2021 %
Altogether 994 100 980 100 992 100
working :
in their residential zone 183 18,4 190 19,4 141 14,2
in another zone 811 81,6 790 80,6 851 85,8
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

ACT G2 - Proportion of transports used to go to work in 2021

ACT G2 - Proportion of transports used to go to work in 2021
Mode of transport Percentage
None 4,4
Walking 3,4
Bicycle 0,7
Motorized two-wheeled vehicles 0,8
Car or truck 88,8
Public transports 2,0
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

ACT G2 - Proportion of transports used to go to work in 2021

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

Births and Deaths of people with usual residence in the area, 2014-2023

Municipality of Vignacourt (80793)

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 2023
Domiciled deaths 14 14 20 12 21 17 24 29 20 18
Domiciled births 24 24 33 25 24 20 21 19 31 13
  • Source: Insee, civil status statistics in geography as of 01/01/2024.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2024.

Household income and poverty in 2021

Municipality of Vignacourt (80793)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 982
Number of people in tax households 2 304
Median disposable income (per consumption unit in euros) 24 070
Share of actually taxed tax households (in %) 55
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

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 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 01/01/2024.

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 01/01/2024.

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 9
Homeowner
Tenant
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

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 01/01/2024.

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
Composition of disposable income share in %
Altogether 100,0
Work income 74,8
including wages 66,1
including unemployment pensions 2,4
including self-employed income 6,3
Retirement pension or annuity 29,1
Capital income (real estate, financial, others) 7,8
Social benefits 3,7
including child benefit 1,7
including income support 1,5
including housing benefit 0,5
Tax –15,4
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
Distribution indicators 2021
Median disposable income (per consumption unit in euros) 24 070
Inter-decile ratio 2,5
1st decile (in euros) 14 400
9th decile (in euros) 36 600
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

Salaries and earned income in 2022

Municipality of Vignacourt (80793)

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022
Altogether Female Male
Altogether 15,4 14,1 16,3
Managerial staff * 24,4 21,0 26,3
Intermediate professions 16,6 15,6 17,3
Employees 12,1 11,9 12,6
Workers 13,1 12,4 13,3
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022
Difference (in%)
Altogether –13,7
Managerial staff * –20,2
Intermediate professions –10,2
Employees –5,7
Workers –6,4
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL T1 - Net average hourly wage (in euros) by age in 2022

SAL T1 - Net average hourly wage (in euros) by age in 2022
Age Altogether Female Male
15 to 25 years old 11,9 11,8 12,0
26 to 50 years old 14,9 14,3 15,3
50 years old or above 17,9 14,5 20,0
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022
Gender pay gap (in%)
15 to 25 years old –1,6
26 to 50 years old –6,7
50 years old or above –27,3
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022

  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

Business and establishment set-ups

Municipality of Vignacourt (80793)

DEN T1 - Business set-ups by sector of activity in 2023

DEN T1 - Business set-ups by sector of activity in 2023
Sector of activity Company set-ups (Number) Of which sole proprietorships (%) Of which SARL (%) Of which SAS (%) Of which other societies (%)
Altogether 13 92,3 0,0 7,7 0,0
Industry 2 100,0 0,0 0,0 0,0
Construction 0
Wholesale and retail trade/transports/accommodations and food service activities 1 100,0 0,0 0,0 0,0
Information/communication 0
Finance and insurance activities 0
Real estate activities 0
Professional/scientific/technical activites/administrative and support service activities 2 50,0 0,0 50,0 0,0
Public administration/education/healthcare/social work 4 100,0 0,0 0,0 0,0
Other service activities 4 100,0 0,0 0,0 0,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2024.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023
Altogether 14 14 14 9 13 7 8 10 13 20 17 13
Sole proprietorship 12 12 11 6 11 7 8 10 10 12 15 12
SARL 2 2 1 0 1 0 0 0 0 2 1 0
SAS 0 0 0 3 1 0 0 0 3 2 1 1
Other societies 0 0 2 0 0 0 0 0 0 4 0 0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN T2 - Establishment set-ups by economic sectors in 2023

DEN T2 - Establishment set-ups by economic sectors in 2023
Sector of activity Altogether %
Altogether 15 100,0
Industry 2 13,3
Construction 0 0,0
Wholesale and retail trade/transports/accommodations and food service activities 3 20,0
Information/communication 0 0,0
Finance and insurance activities 0 0,0
Real estate activities 0 0,0
Professional/scientific/technical activites/administrative and support service activities 2 13,3
Public administration/education/healthcare/social work 4 26,7
Other service activities by the number of business creations including free lancers 4 26,7
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN G2 - Establishment set-ups

DEN G2 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023
Establishment set-ups 12 13 12 10 17 7 11 13 16 19 18 15
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN G2 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN T3 - Number of economically active legal units by economic sector in 2022

DEN T3 - Number of economically active legal units by economic sector in 2022
Sector of activity Number %
Altogether 120 100,0
Industry 10 8,3
Construction 15 12,5
Wholesale and retail trade/transports/accommodations and food service activities 27 22,5
Information/communication 4 3,3
Finance and insurance activities 4 3,3
Real estate activities 17 14,2
Professional/scientific/technical activites/administrative and support service activities 8 6,7
Public administration/education/human health/social work 22 18,3
Other service activities 13 10,8
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN T4 - Number of economically active establishments by economic sector in 2022

DEN T4 - Number of economically active establishments by economic sector in 2022
Sector of activity Number %
Altogether 129 100,0
Industry 11 8,5
Construction 15 11,6
Wholesale and retail trade/transports/accommodations and food service activities 30 23,3
Information/communication 4 3,1
Finance and insurance activities 5 3,9
Real estate activities 18 14,0
Professional/scientific/technical activites/administrative and support service activities 9 7,0
Public administration/education/human health/social work 23 17,8
Other service activities 14 10,9
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

Tourism in 2025

Municipality of Vignacourt (80793)

TOU T1 - Number and capacity of hotels on the 1st of January 2025

TOU T1 - Number and capacity of hotels on the 1st of January 2025
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 01/01/2024.

TOU T2 - Number and capacity of campsites on the 1st of January 2025

TOU T2 - Number and capacity of campsites on the 1st of January 2025
Number of stars Campsites Pitches
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 01/01/2024.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2025

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2025
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, etc.
  • Source: Insee, territorial partners in geography as of 01/01/2024.

Voters in 2024

Municipality of Vignacourt (80793)

REU - Number of voters registered on the main electoral roll by election

REU - Number of voters registered on the main electoral roll by election
Municipal election 2020 Departmental and regional election 2021 Presidential election 2022 European election 2024
1 969 1 970 1 961 1 980
  • Note : The data on voters is extracted at the close of registration for the mentioned election.
  • Source : Insee, Unique electoral register.

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 and inventory of businesses and establishments in all non-agricultural productive and 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.

The number of companies or legal entities in year N corresponds to the number of economically active companies or legal entities in 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.

Unique electoral register

The unique electoral register covers all french territories except New Caledonia.

The scope concerns voters registered on the main electoral list.

The main electoral lists, maintained by the municipalities, record french voters associated with them who are eligible to participate in elections governed by the provisions of the electoral code, as well as any other consultations based on these lists.

Géographie

Population censuses 2010, 2015, 2021: dissemination in the municipalities of France outside Mayotte in geography on 2024;

Vital statistics: distribution to all municipalities in France in geography as of 2024;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2024;

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 01/01/2024;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2024;

Business Demography Information System (SIDE) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2024;

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 01/01/2024

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.