données locales

Paru le : 10/07/2025

Full set of local data Municipality of Chanteloup-les-Vignes (78138)

Detailed figures
Paru le :Paru le10/07/2025
- July 2025

The data presented are disseminated according to the 2024 or 2025 geography, depending on the source.

For statistical confidentiality reasons, some indicators may not be provided.

Growth and structure of the population in 2022

Municipality of Chanteloup-les-Vignes (78138)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 9 614 100,0 10 387 100,0 10 793 100,0
0 to 14 years old 2 519 26,2 2 730 26,3 2 809 26,0
15 to 29 years old 2 132 22,2 2 092 20,1 2 060 19,1
30 to 44 years old 1 959 20,4 2 138 20,6 2 353 21,8
45 to 59 years old 1 737 18,1 1 768 17,0 1 751 16,2
60 to 74 years old 967 10,1 1 228 11,8 1 272 11,8
75 and over 300 3,1 431 4,2 549 5,1
  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2011 2016 2022
0 to 14 years old 26,2 26,3 26,0
15 to 29 years old 22,2 20,1 19,1
30 to 44 years old 20,4 20,6 21,8
45 to 59 years old 18,1 17,0 16,2
60 to 74 years old 10,1 11,8 11,8
75 and over 3,1 4,2 5,1
  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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)
Population and average density 1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Population 2 075 4 616 10 297 10 175 9 544 8 924 9 614 10 387 10 793
Average density (inhab / km²) 623,1 1 386,2 3 092,2 3 055,6 2 866,1 2 679,9 2 887,1 3 119,2 3 241,1
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025.
  • Sources: Insee, RP1967 to 1999 counts, RP2011 to RP2022 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 2006 2006 to 2011 2011 to 2016 2016 to 2022
Average annual change in population in % 12,1 12,1 –0,1 –0,7 –1,0 1,5 1,6 0,6
due to the natural balance in % 0,8 3,5 2,0 1,5 1,5 1,5 1,5 1,2
due to the apparent balance of inflows and outflows in % 11,3 8,6 –2,2 –2,2 –2,4 –0,0 0,1 –0,5
Natality rate (‰) 15,0 39,9 24,2 18,7 19,0 20,1 20,3 18,0
Mortality rate (‰) 6,9 5,0 4,0 3,7 4,2 4,9 5,3 6,5
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025
  • Sources: Insee, RP1968 to 1999 counts, RP2011 to RP2022 main holdings - Civil status

POP T3 - Population by age and sex in 2022

POP T3 - Population by age and sex in 2022
Age Male % Female %
Altogether 5 235 100,0 5 558 100,0
0 to 14 years old 1 406 26,9 1 402 25,2
15 to 29 years old 1 020 19,5 1 040 18,7
30 to 44 years old 1 115 21,3 1 238 22,3
45 to 59 years old 874 16,7 876 15,8
60 to 74 years old 552 10,5 720 13,0
75 to 89 years old 245 4,7 225 4,0
90 years and over 21 0,4 57 1,0
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T3bis - Population by age and sex in 2022

POP T3bis - Population by age and sex in 2022
Age Male % Female %
Ensemble 5 235 100,0 5 558 100,0
0 to 19 years old 1 807 34,5 1 781 32,0
20 to 64 years old 2 827 54,0 3 070 55,2
65 and over 601 11,5 707 12,7
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
Home adress 2011 % 2016 % 2022 %
People one year old and over, previously living 9 443 100,0 10 187 100,0 10 592 100,0
In the same house 8 697 92,1 9 468 92,9 9 777 92,3
In another house in the same town 279 3,0 227 2,2 269 2,5
In another town 467 4,9 493 4,8 547 5,2
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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 46,3 53,7
15 to 24 years old 18,9 81,1
25 to 54 years old 30,2 69,8
55 years old and over 35,9 64,1
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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

  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T5 - Population aged 15 years and over by current or previous socio-professional group

POP T5 - Population aged 15 years and over by current or previous socio-professional group
Socioprofessional group 2011 % 2016 % 2022 %
Altogether 7 173 100,0 7 680 100,0 8 017 100,0
Farmer operators 0 0,0 0 0,0 0 0,0
Craftsmen, traders, business leaders 180 2,5 229 3,0 223 2,8
Managers and higher intellectual professions 535 7,5 647 8,4 759 9,5
Middle-level occupations 1 098 15,3 1 072 14,0 1 206 15,0
Services employee 1 523 21,2 1 522 19,8 1 549 19,3
Blue-collar workers 1 086 15,1 1 304 17,0 1 106 13,8
Retirees 1 118 15,6 1 346 17,5 1 416 17,7
Other people with no professional activity 1 634 22,8 1 561 20,3 1 758 21,9
  • Sources: Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

POP T6 - Population aged 15 years and over by sex, age and current or previous socio-professional group in 2022

POP T6 - Population aged 15 years and over by sex, age and current or previous socio-professional group in 2022
Socioprofessional group Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 3 861 4 156 100,0 100,0 100,0
Farmer operators 0 0 0,0 0,0 0,0
Craftsmen, traders, business leaders 191 32 1,4 3,9 1,6
Managers and higher intellectual professions 445 314 1,2 15,8 3,4
Middle-level occupations 551 655 12,8 21,1 5,5
Services employee 453 1 096 14,4 26,0 10,5
Blue-collar workers 908 198 9,7 18,5 8,0
Retirees 680 736 0,0 0,1 60,9
Other people with no professional activity 633 1 125 60,6 14,5 10,0
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Municipality of Chanteloup-les-Vignes (78138)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 3 052 100,0 3 391 100,0 3 606 100,0 9 505 10 274 10 658
One-person households (male and female) 579 19,0 636 18,7 881 24,4 579 636 881
 Single Male 253 8,3 290 8,5 418 11,6 253 290 418
 Single Female 326 10,7 346 10,2 463 12,8 326 346 463
Other households without families 108 3,6 71 2,1 57 1,6 360 156 117
Family households : 2 364 77,5 2 685 79,2 2 667 74,0 8 566 9 482 9 660
 Couple without children 644 21,1 762 22,5 692 19,2 1 340 1 669 1 544
 Couple with children 1 287 42,2 1 371 40,4 1 465 40,6 5 743 6 013 6 571
 Single parent 433 14,2 552 16,3 509 14,1 1 483 1 799 1 545
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Average number of occupants per main residence 3,32 3,22 3,62 3,65 3,50 3,19 3,11 3,03 2,92
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 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 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 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
2011 2016 2022
15 to 19 years old 0,0 0,4 0,0
20 to 24 years old 2,3 1,9 3,9
25 to 39 years old 6,1 5,9 9,8
40 to 54 years old 6,9 7,4 12,0
55 to 64 years old 11,7 13,4 16,8
65 to 79 years old 20,5 18,4 21,9
80 and above 45,5 30,7 29,7
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G3 - People aged 15 and over reporting living as a couple

FAM G3 - People aged 15 and over reporting living as a couple
2011 2016 2022
15 to 19 years old 0,8 2,1 0,8
20 to 24 years old 20,6 17,7 17,3
25 to 39 years old 64,3 66,5 64,9
40 to 54 years old 78,2 75,7 72,8
55 to 64 years old 77,3 73,2 71,8
65 to 79 years old 70,2 71,0 69,5
80 and above 29,7 37,2 42,7
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G3 - People aged 15 and over reporting living as a couple

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G4 - Marital status of the population aged 15 years or over in 2022

FAM G4 - Marital status of the population aged 15 years or over in 2022
%
Married 45,9
Civil partnership 3,4
In cohabitation 8,0
Widowed 5,3
Divorced 4,7
Single 32,6
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

FAM G4 - Marital status of the population aged 15 years or over in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

FAM T2 - Households by socioprofessionnal group of the reference person in 2022

FAM T2 - Households by socioprofessionnal group of the reference person in 2022
Socioprofessional group Number of households % Household population %
Altogether 3 606 100,0 10 658 100,0
including farmer operators 0 0,0 0 0,0
including craftsmen, traders, business leaders 147 4,1 569 5,3
including managers and higher intellectual professions 468 13,0 1 502 14,1
including intermediate professions 634 17,6 1 889 17,7
including employees 755 20,9 2 257 21,2
including workers 744 20,6 2 697 25,3
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM G5 - Households by socioprofessionnal group of the reference person in 2022

FAM G5 - Households by socioprofessionnal group of the reference person in 2022
%
Farmer operators 0,0
Handicrafters, traders, business leaders 4,1
Managers and higher intellectual professions 13,0
Intermediate professions 17,6
Employees 20,9
Workers 20,6
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM G5 - Households by socioprofessionnal group of the reference person in 2022

  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM T3 - Families composition

FAM T3 - Families composition
Type of family 2011 % 2016 % 2022 %
Altogether 2 411 100,0 2 744 100,0 2 762 100,0
Couple with children 1 295 53,7 1 371 49,9 1 482 53,7
Single parent 445 18,5 596 21,7 566 20,5
 Male single parent 60 2,5 106 3,8 78 2,8
 Female single parent 385 16,0 491 17,9 488 17,7
Couple without children 671 27,8 777 28,3 714 25,8
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

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) 2022 %
Altogether 1 482 100,0
Traditional family 1 316 88,8
Blended family 166 11,2
  • Sources : Insee, RP2022, additional operations, geography as of 01/01/2025.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
Number of children 2011 % 2016 % 2022 %
Altogether 2 411 100,0 2 744 100,0 2 762 100,0
Without any 828 34,4 1 008 36,7 940 34,0
1 child 531 22,0 572 20,9 597 21,6
2 children 463 19,2 599 21,8 622 22,5
3 children 377 15,6 363 13,2 357 12,9
4 children or above 212 8,8 202 7,4 246 8,9
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Municipality of Chanteloup-les-Vignes (78138)

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
Housing category 1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Altogether 735 1 843 3 185 3 547 3 278 3 128 3 321 3 643 3 846
Principal residences 619 1 235 2 840 2 787 2 705 2 791 3 046 3 389 3 645
Second dwellings and occasional dwellings 85 56 63 50 43 19 8 12 27
Vacant accommodations 31 552 282 710 530 318 267 242 174
  • (*) 1967 and 1974 for the overseas departments
  • Sources : Insee, RP1967 to RP1999 counts, RP2006 to RP2022 main holdings.

LOG T1bis - Categories of housings

LOG T1bis - Categories of housings
Category of housing 2011 2016 2022
Principal residences 91,7 93,0 94,8
Second dwellings and occasional dwellings 0,2 0,3 0,7
Vacant dwellings 8,1 6,6 4,5
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T2 - Types of housings

LOG T2 - Types of housings
Type of housing 2011 % 2016 % 2022 %
Altogether 3 321 100,0 3 643 100,0 3 846 100,0
Houses 1 435 43,2 1 460 40,1 1 477 38,4
Flats 1 848 55,6 2 162 59,3 2 341 60,9
Others 39 1,2 21 0,6 28 0,7
  • Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au 01/01/2025.

LOG T2bis - Contributions to the change in the number of principal residences

LOG T2bis - Contributions to the change in the number of principal residences
Contributions 2011-2016 % 2016-2022 %
Total change 343 10,3 256 7,0
due to the household size effect 85 2,6 120 3,3
due to the demographic effect 258 7,8 136 3,7
  • Note: The change in the number of households (and therefore in the number of main residences) can be broken down into two effects: the "household size effect" and the "demographic effect." Indeed, a decrease in average household size leads to an increased housing need, even if the population remains stable. The remaining part of the change is referred to as the demographic effect. These effects can be either positive or negative.
  • Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au 01/01/2025.

LOG T3 - Principal residences by number of rooms

LOG T3 - Principal residences by number of rooms
Number of rooms 2011 % 2016 % 2022 %
Altogether 3 046 100,0 3 389 100,0 3 645 100,0
1 room 55 1,8 62 1,8 113 3,1
2 rooms 294 9,7 404 11,9 400 11,0
3 rooms 615 20,2 692 20,4 825 22,6
4 rooms 1 064 34,9 1 137 33,5 1 205 33,0
5 rooms or above 1 017 33,4 1 095 32,3 1 104 30,3
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4 - Principal residences average number of rooms

LOG T4 - Principal residences average number of rooms
Type of main residence 2011 2016 2022
All main residences 4,1 4,0 4,0
House 4,9 4,9 5,0
Flat 3,5 3,4 3,3
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4bis - Dwelling occupancy index

LOG T4bis - Dwelling occupancy index
Occupancy index 2011 2016 2022
Standard occupancy 25,9 26,1 26,9
Moderate over-occupation 13,1 12,4 13,2
Severe over-occupation 4,4 3,8 3,6
Moderate under-occupation 24,2 21,2 23,6
Severe under-occupation 16,7 18,9 15,5
Very severe under-occupation 15,8 17,7 17,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T5 - Principal residences in 2022 by completion period

LOG T5 - Principal residences in 2022 by completion period
Completion period Number %
Principal residences build before 2020 3 636 100,0
Before 1919 157 4,3
From 1919 to 1945 117 3,2
From 1946 to 1970 472 13,0
From 1971 to 1990 1 713 47,1
From 1991 to 2005 473 13,0
From 2006 to 2019 704 19,4
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G1 - Principal residences in 2022 by completion period and housing category

LOG G1 - Principal residences in 2022 by completion period and housing category
House Flat
Before 1919 123 34
From 1919 to 1945 67 47
From 1946 to 1970 206 253
From 1971 to 1990 491 1 214
From 1991 to 2005 267 204
From 2006 to 2018 259 442
  • Main residences built before 2020.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G1 - Principal residences in 2022 by completion period and housing category

  • Main residences built before 2020.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG T6 - Length of residence in the main residences in 2022

LOG T6 - Length of residence in the main residences in 2022
Length of residence Number of households Share of households in % Household population Average number of pieces per
lodging person
Altogether 3 645 100,0 10 658 4,0 1,4
Less than 2 years ago 330 9,1 810 3,3 1,3
From 2 to 4 years ago 755 20,7 2 270 3,6 1,2
From 5 to 9 years ago 774 21,2 2 548 3,9 1,2
10 years ago or above 1 786 49,0 5 031 4,3 1,5
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G2 - Length of residence of households in 2022

LOG G2 - Length of residence of households in 2022
Share of households in%
Less than 2 years ago 9,1
From 2 to 4 years ago 20,7
From 5 to 9 years ago 21,2
From 10 to 19 years ago 22,9
From 20 to 29 years ago 13,2
30 years ago or above 12,9
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G2 - Length of residence of households in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG T7 - Principal residences by housing tenure

LOG T7 - Principal residences by housing tenure
2011 2016 2022
Housing tenure Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 3 046 100,0 3 389 100,0 3 645 100,0 10 658 13,6
Homeowner 1 284 42,2 1 426 42,1 1 583 43,4 4 270 15,2
Tenant 1 722 56,5 1 924 56,8 2 034 55,8 6 298 12,3
including public tenants 1 358 44,6 1 451 42,8 1 532 42,0 5 146 14,6
Housed for free 40 1,3 39 1,2 28 0,8 91 9,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T8M - Comfort of principal residences: primary heating fuel

LOG T8M - Comfort of principal residences: primary heating fuel
Fuel 2011 % 2016 % 2022 %
Town gas - district heating network 1 673 54,9 1 940 57,3 2 131 58,4
Fuel oil 213 7,0 190 5,6 136 3,7
Electricity 1 053 34,6 1 151 34,0 1 258 34,5
Bottled or tank gas 17 0,6 22 0,7 15 0,4
Other (wood, solar, geothermal, etc.) 89 2,9 85 2,5 106 2,9
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T9 - Household automotive equipment

LOG T9 - Household automotive equipment
Equipment 2011 % 2016 % 2022 %
At least one car 2 452 80,5 2 745 81,0 2 924 80,2
 1 car 1 482 48,7 1 646 48,6 1 726 47,3
 2 cars or above 970 31,9 1 099 32,4 1 198 32,9
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T9bis - Parking space reserved for personal use

LOG T9bis - Parking space reserved for personal use
Parking space 2011 % 2016 % 2022 %
All principal residences 3 046 100,0 3 389 100,0 3 645 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 1 686 55,3 1 961 57,9 2 032 55,7
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Municipality of Chanteloup-les-Vignes (78138)

FOR T1 - Schooling by age and sex in 2022

FOR T1 - Schooling by age and sex in 2022
Age Total Scholarized population Scholarized population in %
Altogether Male Female
2 to 5 years old 772 548 70,9 72,4 69,3
6 to 10 years old 983 948 96,4 95,5 97,4
11 to 14 years old 694 673 97,0 97,4 96,5
15 to 17 years old 497 473 95,1 95,3 95,0
18 to 24 years old 976 464 47,5 38,5 56,9
25 to 29 years old 587 20 3,5 3,0 3,9
30 years old or above 5 924 76 1,3 1,4 1,2
  • Source : Insee, RP2022 principal exploitation, geography at the 01/01/2025.

FOR G1 - Schooling rate by age (in %)

FOR G1 - Schooling rate by age (in %)
2011 2016 2022
2 to 5 years old 66,0 68,9 70,9
6 to 10 years old 97,4 98,1 96,4
11 to 14 years old 97,3 98,8 97,0
15 to 17 years old 96,4 90,9 95,1
18 to 24 years old 47,4 42,0 47,5
25 to 29 years old 7,2 3,9 3,5
30 years old or above 1,6 1,1 1,3
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FOR G1 - Schooling rate by age (in %)

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FOR T2 - Highest level of graduation for population aged 15 years or over by sex in 2022

FOR T2 - Highest level of graduation for population aged 15 years or over by sex in 2022
Altogether Male Female
Proportion of unschooled aged 15 years or above 6 951 3 344 3 608
Proportion of graduates in percentage
No diploma or primary education certificate 26,0 23,3 28,4
BEPC brevet des collèges or DNB 5,9 5,2 6,6
CAP, BEP or equivalent 20,7 25,0 16,7
Baccalauréat, brevet professionnel or equivalent 18,8 19,5 18,2
2 years at university 10,1 10,1 10,1
3 to 4 years at university 8,8 7,2 10,4
5 years or more at university 9,7 9,8 9,5
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)
2011 2022
No diploma or primary education certificate 36,5 26,0
BEPC brevet des collèges or DNB 4,8 5,9
CAP, BEP or equivalent 21,6 20,7
Baccalauréat, brevet professionnel or equivalent 16,3 18,8
2 years or more at university 20,8 28,6
  • Note : As the response methods have changed during the census surveys, the values cannot be obtained for the 2022 vintage.
  • Sources : Insee, RP2011, RP2022, main operations, geography as of 01/01/2025.

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)

  • Note : As the response methods have changed during the census surveys, the values cannot be obtained for the 2022 vintage.
  • Sources : Insee, RP2011, RP2022, main operations, geography as of 01/01/2025.

Active population, employment and unemployment within the meaning of the census in 2022

Municipality of Chanteloup-les-Vignes (78138)

EMP T1 - Population aged 15 to 64 by economic activity

EMP T1 - Population aged 15 to 64 by economic activity
Economic activity 2011 2016 2022
Altogether 6 297 6 534 6 677
Working age adult in % 70,9 74,7 73,9
 Working age adults with a job in % 59,3 60,1 60,7
 Unemployed workers in % 11,6 14,6 13,2
Economically inactive people in % 29,1 25,3 26,1
 Pupils, students or interns in % 11,6 10,0 11,1
 Retirees in % 6,2 4,3 3,5
 Other economically inactive people in % 11,4 10,9 11,5
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2022

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2022
Sex and age Population Active people Activity rate in % Working people Employment rate in %
Altogether 6 677 4 934 73,9 4 053 60,7
 15 to 24 years old 1 473 630 42,8 433 29,4
 25 to 54 years old 4 217 3 677 87,2 3 080 73,0
 55 to 64 years old 987 627 63,6 540 54,7
Male 3 228 2 584 80,1 2 129 66,0
 15 to 24 years old 756 336 44,4 227 30,1
 25 to 54 years old 2 050 1 956 95,4 1 651 80,5
 55 to 64 years old 421 292 69,4 251 59,6
Female 3 449 2 350 68,1 1 924 55,8
 15 to 24 years old 717 294 41,1 206 28,7
 25 to 54 years old 2 167 1 721 79,4 1 429 65,9
 55 to 64 years old 565 335 59,2 289 51,1
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP G1 - Population aged 15 to 64 by economic activity category in 2022

EMP G1 - Population aged 15 to 64 by economic activity category in 2022
Population (%)
Working age adults who have a job 60,7
Unemployed workers 13,2
Retirees 3,5
Pupils, students or interns 11,1
Other economically inactive people 11,5
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP G1 - Population aged 15 to 64 by economic activity category in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP T3 - Population aged 15 to 64 by current or previous socioprofessional group

EMP T3 - Population aged 15 to 64 by current or previous socioprofessional group
Socioprofessional group 2011 including working people 2016 including working people 2022 including working people
Altogether 4 497 3 727 4 823 3 884 4 919 4 036
including farmer operators 0 0 0 0 0 0
including handicrafters, traders and business leaders 180 168 229 215 223 220
including managers and higher intellectual professions 531 506 617 587 759 697
including intermediate professions 1 090 970 1 057 907 1 189 1 028
including employees 1 523 1 264 1 507 1 207 1 519 1 212
including workers 1 082 819 1 289 969 1 101 879
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

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 2011 2016 2022
Number of unemployed workers 729 955 881
Unemployment rate in % 16,3 19,6 17,8
Unemployment of the 15-24 aged 31,4 41,0 31,3
Unemployment of the 25-54 aged 14,0 16,9 16,2
Unemployment of the 55-64 aged 11,8 13,6 13,9
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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 22,9
BEPC brevet des collèges or DNB 32,9
CAP, BEP or equivalent 20,7
Baccalauréat, brevet professionnel or equivalent 17,8
2 years at university 13,4
3 to 4 years at university 15,4
5 years or more at university 6,7
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
Employment activity 2011 2016 2022
Number of jobs in the area 2 368 2 817 2 740
Working age adult living in the area 3 751 3 995 4 100
Occupational concentration by industry 63,1 70,5 66,8
employment rate of 15 years old or above in % 63,1 64,7 62,4
  • 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, RP2011, RP2016 and RP2022, main operations holdings, place of residence and place of work, geography as of 01/01/2025.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
Working status 2011 % 2016 % 2022 %
Altogether 2 368 100,0 2 817 100,0 2 740 100,0
Employee 2 160 91,2 2 543 90,3 2 489 90,9
 including women 1 039 43,9 1 213 43,1 1 151 42,0
 including part time jobs 359 15,1 321 11,4 265 9,7
Non-employee 209 8,8 274 9,7 250 9,1
 including women 56 2,4 86 3,0 86 3,2
 including part time jobs 24 1,0 45 1,6 41 1,5
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations workplaces, geography as of 01/01/2025.

EMP T7 - Employment by socioprofessional group in 2022

EMP T7 - Employment by socioprofessional group in 2022
Socioprofessional group Number %
Altogether 2 688 100,0
Farmer operators 0 0,0
Handicrafters, traders, business leaders 197 7,3
Managers and higher intellectual professions 445 16,5
Intermediate professions 718 26,7
Employees 665 24,8
Workers 663 24,7
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

EMP G3 - Employment by socioprofessional group
2011 2016 2022
Farmer operators 0,0 0,0 0,0
Handicrafters, traders, business leaders 6,4 6,3 7,3
Managers and higher intellectual professions 12,5 13,7 16,5
Intermediate professions 29,7 23,8 26,7
Employees 23,2 29,3 24,8
Workers 28,1 26,9 24,7
  • Sources: Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

  • Sources: Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
Economic sector 2011 2016 2022
Number % Number % Number % including women in % including employees %
Altogether 2 280 100,0 2 830 100,0 2 688 100,0 43,8 89,6
Agriculture 0 0,0 5 0,2 5 0,2 0,0 100,0
Industry 410 18,0 410 14,5 447 16,6 23,5 94,4
Construction 279 12,2 269 9,5 244 9,1 13,6 80,2
Wholesale and retail trade/transports/accommodations and food service activities 851 37,3 1 268 44,8 1 190 44,3 36,3 85,2
Public administration/education/human health/social work 741 32,5 878 31,0 802 29,8 75,9 96,2
  • Sources : Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022
Employees Non-employees
Agriculture 0,0
Industry 24,8 0,0
Construction 16,9 0,0
Wholesale and retail trade, transports, accommodations and food service activities 38,3 24,7
Public administration, education, human health, social work 76,3 66,8
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022

  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

Characteristics of employment in the sense of the census in 2022

Municipality of Chanteloup-les-Vignes (78138)

ACT T1 - Population aged 15 years or over having a job by status in 2022

ACT T1 - Population aged 15 years or over having a job by status in 2022
Employment status Number % of which % part-time of which % women
Altogether 4 097 100,0 12,8 47,6
Employees 3 739 91,3 11,9 49,2
Non-employees 358 8,7 22,4 31,5
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2022

ACT T2 - Status and employment conditions of 15 years or over by sex in 2022
Employment status and conditions Male % Female %
Altogether 2 145 100 1 952 100
Employees 1 900 88,6 1 839 94,2
 Tenured personnel and open-ended employment contracts 1 671 77,9 1 496 76,7
 Fixed-term employment contracts 125 5,8 202 10,3
 Temporary employment 45 2,1 23 1,2
 Assisted jobs 3 0,1 17 0,9
 Apprentice ship contract - Traineeship 56 2,6 100 5,1
Non-employees 245 11,4 113 5,8
 Independents 127 5,9 91 4,7
 Employers 116 5,4 22 1,1
 Caregivers 2 0,1 0 0,0
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2022

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2022
Age Male of which% part-time Female of which% part-time
Altogether 1 887 6,0 1 821 17,4
15 to 24 years old 213 22,3 205 29,7
25 to 54 years old 1 454 3,8 1 346 14,0
55 to 64 years old 220 4,6 270 25,0
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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
2011 2016 2022
Male 8,1 7,4 6,1
Female 25,4 25,6 17,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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 2011 % 2016 % 2022 %
Altogether 3 749 100 3 992 100 4 097 100
Working in their residential zone 756 20,2 924 23,1 738 18,0
Working in another zone 2 993 79,8 3 068 76,9 3 358 82,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

ACT G2 - Proportion of transports used to go to work in 2022

ACT G2 - Proportion of transports used to go to work in 2022
Percentage
None 2,3
Walking 6,7
Bicycle 0,7
Motorized two-wheeled vehicles 1,5
Car or truck 55,1
Public transports 33,8
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT G2 - Proportion of transports used to go to work in 2022

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

Municipality of Chanteloup-les-Vignes (78138)

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 56 56 65 41 76 65 85 78 55 60
Domiciled births 203 203 189 195 190 206 183 179 160 158
  • 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 Chanteloup-les-Vignes (78138)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 3 436
Number of people in tax households 9 947
Median disposable income (per consumption unit in euros) 19 940
Share of actually taxed tax households (in %) 50
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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 %
Less than 30 years old s
30 to 39 years old 25
40 to 49 years old 29
50 to 59 years old 20
60 to 74 years old 18
75 and over s
Altogether 23
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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

  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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 %
Homeowner 6
Tenant 35
Altogether 23
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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

  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
Composition of disposable income Share in %
Work income 82,0
   Wages 75,3
   Unemployment pensions 4,2
   Self-employed income 2,5
Retirement pension or annuity 19,6
Capital income (real estate, financial, others) 3,5
Social benefits 9,6
   Child benefit 4,5
   Income support 3,3
   Housing benefit 1,8
Tax –14,7
Altogether 100,0
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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) 19 940
Inter-decile ratio 3,5
1st decile (in euros) 10 250
9th decile (in euros) 35 560
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

Salaries and earned income in 2022

Municipality of Chanteloup-les-Vignes (78138)

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 15,8 15,1 16,3
Managerial staff * 25,4 23,8 26,3
Intermediate professions 16,4 15,7 17,0
Employees 12,1 12,3 11,9
Workers 12,5 10,6 12,8
  • * 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 –6,9
Managerial staff * –9,5
Intermediate professions –7,8
Employees 2,8
Workers –17,3
  • * 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 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 11,2 11,0 11,4
26 to 50 years old 16,2 15,7 16,5
50 years old or above 16,8 15,5 17,6
  • 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 –3,2
26 to 50 years old –4,6
50 years old or above –11,6
  • 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.

Establishment characteristics at the end of 2023

Municipality of Chanteloup-les-Vignes (78138)

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2023

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 231 100,0 18 146 29 29 9
Agriculture, forestry and fishing 1 0,4 0 1 0 0 0
Industrial economy 25 10,8 1 9 3 9 3
Building industry 52 22,5 3 38 7 4 0
Trade, transport, various services 120 51,9 12 84 11 10 3
General government, education, healthcare, social action 33 14,3 2 14 8 6 3
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T2 - Number of employees by aggregate sector of activity and workforce size at the end of 2023

RES T2 - Number of employees by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 employees and more
Altogether 2 923 100,0 493 405 871 310 844
Agriculture, forestry and fishing 2 0,1 2 0 0 0 0
Industrial economy 579 19,8 38 44 266 126 105
Building industry 359 12,3 143 97 119 0 0
Trade, transport, various services 1 248 42,7 261 144 299 69 475
General government, education, healthcare, social action 735 25,1 49 120 187 115 264
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023
%
General government, education, healthcare, social action 14,3
Trade, transport, various services 51,9
Building industry 22,5
Industrial economy 10,8
Agriculture, forestry and fishing 0,4
  • Scope: Employer establishments during the year and active during the last week of December excluding the defense sector and private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023

  • Scope: Employer establishments during the year and active during the last week of December excluding the defense sector and private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G2 - Distribution of establishments by workforce size at the end of 2023

RES G2 - Distribution of establishments by workforce size at the end of 2023
%
50 or more employees 3,9
20 to 49 employees 12,6
10 to 19 employees 12,6
1 to 9 employees 63,2
0 employee 7,8
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G2 - Distribution of establishments by workforce size at the end of 2023

  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T3 - Establishments according to the spheres of the economy at the end of 2023

RES T3 - Establishments according to the spheres of the economy at the end of 2023
Economic sphere Establishments Employees
Number % Number %
Altogether 231 100,0 2 923 100,0
Productive sphere 92 39,8 1 407 48,1
of which public domain 1 0,4 6 0,2
Presential sphere 139 60,2 1 516 51,9
of which public domain 10 4,3 470 16,1
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T5 - Individual employers in 2023

RES T5 - Individual employers in 2023
Individual employers
Number %
Altogether 309 100,0
Employers of childminders 148 47,9
Employers of other employees 161 52,1
  • Scope: private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

Business and establishment set-ups in 2024

Municipality of Chanteloup-les-Vignes (78138)

DEN T1 - Business set-ups by sector of activity in 2024

DEN T1 - Business set-ups by sector of activity in 2024
Sector of activity Company set-ups (Number) Of which sole proprietorships (%) Of which SARL (%) Of which SAS (%) Of which other societies (%)
Altogether 210 78,6 2,9 18,6 0,0
Industry 7 85,7 0,0 14,3 0,0
Construction 17 52,9 0,0 47,1 0,0
Wholesale and retail trade/transports/accommodations and food service activities 77 85,7 1,3 13,0 0,0
Information/communication 17 58,8 5,9 35,3 0,0
Finance and insurance activities 5 0,0 0,0 100,0 0,0
Real estate activities 4 100,0 0,0 0,0 0,0
Professional/scientific/technical activites/administrative and support service activities 47 78,7 8,5 12,8 0,0
Public administration/education/healthcare/social work 12 100,0 0,0 0,0 0,0
Other service activities 24 87,5 0,0 12,5 0,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2025.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Altogether 81 50 80 73 82 94 122 141 184 201 211 215 210
Sole proprietorship 62 38 61 47 55 76 97 111 138 160 170 167 165
SARL 16 7 13 14 13 3 7 3 10 3 4 8 6
SAS 3 5 6 11 14 14 17 27 36 38 37 40 39
Other societies 0 0 0 1 0 1 1 0 0 0 0 0 0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN T2 - Establishment set-ups by economic sectors in 2024

DEN T2 - Establishment set-ups by economic sectors in 2024
Sector of activity Altogether %
Altogether 225 100,0
Industry 9 4,0
Construction 19 8,4
Wholesale and retail trade/transports/accommodations and food service activities 83 36,9
Information/communication 16 7,1
Finance and insurance activities 5 2,2
Real estate activities 5 2,2
Professional/scientific/technical activites/administrative and support service activities 49 21,8
Public administration/education/healthcare/social work 14 6,2
Other service activities by the number of business creations including free lancers 25 11,1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

DEN G2 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Establishment set-ups 78 62 82 94 86 96 136 150 194 202 218 224 225
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

Number of legal entities and establishments in 2022

Municipality of Chanteloup-les-Vignes (78138)

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 552 100,0
Industry 26 4,7
Construction 88 15,9
Wholesale and retail trade/transports/accommodations and food service activities 196 35,5
Information/communication 34 6,2
Finance and insurance activities 19 3,4
Real estate activities 22 4,0
Professional/scientific/technical activites/administrative and support service activities 85 15,4
Public administration/education/human health/social work 43 7,8
Other service activities 39 7,1
  • 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 607 100,0
Industry 35 5,8
Construction 93 15,3
Wholesale and retail trade/transports/accommodations and food service activities 218 35,9
Information/communication 35 5,8
Finance and insurance activities 20 3,3
Real estate activities 23 3,8
Professional/scientific/technical activites/administrative and support service activities 91 15,0
Public administration/education/human health/social work 48 7,9
Other service activities 44 7,2
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

Facilities and services for the population in 2024

Municipality of Chanteloup-les-Vignes (78138)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 1
Grocery store, convenience store 3
Bakery and pastry shop 4
Service station 0
Electric vehicle charging station 0
Hair salon 11
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

EQUIP T2 - Number of healthcare professionals and pharmacies in 2024

EQUIP T2 - Number of healthcare professionals and pharmacies in 2024
Healthcare professionals and pharmacies Number
General practitioner 3
Dentist 3
Physiotherapist 1
Nurse 3
Psychologist 3
Pharmacy 2
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

EQUIP T3 - Number of educationals institutions or libraries in 2024

EQUIP T3 - Number of educationals institutions or libraries in 2024
Educational or cultural institutions Number
Nursery and primary school 6
Middle school 2
General and/or technological upper secondary school 0
Vocational or agricultural upper secondary school 0
Library 1
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

Tourism in 2025

Municipality of Chanteloup-les-Vignes (78138)

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 01/01/2025.

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 01/01/2025.

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 01/01/2025.

Voters in 2024

Municipality of Chanteloup-les-Vignes (78138)

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
5 475 5 649 5 690 5 928
  • 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.

Other definitions are accessible on insee.fr, as well as the concepts specific to the population census.

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.

Permanent database of facilities

The permanent database of facilities (BPE) is a database intended for statistical purposes. It lists a wide range of facilities and services, whether commercial or not, that are accessible to the public throughout France as of January 1st each year.

The permanent database of facilities (BPE) is powered by different sources : sources used.

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 2011, 2016, 2022: dissemination in the municipalities of France outside Mayotte in geography on 2025;

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 01/01/2025;

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 01/01/2025;

Business Demography Information System (SIDE) - Business and establishment set-ups: distribution to all municipalities in France, in geography as of 01/01/2025;

Business Demography Information System (SIDE) - Number of legal entities and establishments: distribution to all municipalities in France, in geography as of 01/01/2024;

Permanent database of facilities: coverage across all municipalities in France, geography as of 01/01/2025. The data cover metropolitan France and the five overseas departments (DOM);

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2025

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.