données locales

Paru le : 06/11/2025

Full set of local data Municipality of Quesnoy-sur-Deûle (59482)

Detailed figures
Paru le :Paru le06/11/2025
- November 2025

The data presented is published in Geography 2024 or 2025, depending on the source.

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

Growth and structure of the population in 2022

Municipality of Quesnoy-sur-Deûle (59482)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 7 048 100,0 6 780 100,0 6 863 100,0
0 to 14 years old 1 523 21,6 1 390 20,5 1 311 19,1
15 to 29 years old 1 211 17,2 1 121 16,5 1 068 15,6
30 to 44 years old 1 424 20,2 1 263 18,6 1 347 19,6
45 to 59 years old 1 481 21,0 1 503 22,2 1 443 21,0
60 to 74 years old 894 12,7 968 14,3 1 133 16,5
75 and over 515 7,3 535 7,9 561 8,2
  • 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 21,6 20,5 19,1
15 to 29 years old 17,2 16,5 15,6
30 to 44 years old 20,2 18,6 19,6
45 to 59 years old 21,0 22,2 21,0
60 to 74 years old 12,7 14,3 16,5
75 and over 7,3 7,9 8,2
  • 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 4 588 4 810 5 427 5 775 6 380 6 893 7 048 6 780 6 863
Average density (inhab / km²) 319,5 335,0 377,9 402,2 444,3 480,0 490,8 472,1 477,9
  • (*) 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 % 0,7 1,7 0,8 1,1 1,1 0,4 –0,8 0,2
due to the natural balance in % 0,6 0,8 0,7 0,7 0,4 0,6 0,4 0,2
due to the apparent balance of inflows and outflows in % 0,1 0,9 0,0 0,4 0,7 –0,1 –1,2 0,0
Natality rate (‰) 17,2 16,7 14,6 14,1 12,2 13,1 11,9 10,5
Mortality rate (‰) 11,2 8,6 7,2 7,4 7,9 7,3 8,0 8,7
  • 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 3 304 100,0 3 559 100,0
0 to 14 years old 652 19,7 659 18,5
15 to 29 years old 546 16,5 522 14,7
30 to 44 years old 647 19,6 700 19,7
45 to 59 years old 708 21,4 735 20,7
60 to 74 years old 543 16,4 590 16,6
75 to 89 years old 187 5,7 287 8,1
90 years and over 21 0,6 66 1,8
  • 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 3 304 100,0 3 559 100,0
0 to 19 years old 880 26,6 876 24,6
20 to 64 years old 1 903 57,6 1 968 55,3
65 and over 521 15,8 715 20,1
  • 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 6 957 100,0 6 717 100,0 6 790 100,0
In the same house 6 312 90,7 6 102 90,9 6 220 91,6
In another house in the same town 278 4,0 219 3,3 184 2,7
In another town 367 5,3 396 5,9 386 5,7
  • 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 25,8 74,2
15 to 24 years old 60,5 39,5
25 to 54 years old 29,2 70,8
55 years old and over 38,7 61,3
  • 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 5 503 100,0 5 373 100,0 5 577 100,0
Farmer operators 45 0,8 30 0,6 29 0,5
Craftsmen, traders, business leaders 162 2,9 166 3,1 192 3,4
Managers and higher intellectual professions 620 11,3 587 10,9 695 12,5
Middle-level occupations 957 17,4 1 029 19,1 911 16,3
Services employee 880 16,0 833 15,5 812 14,6
Blue-collar workers 730 13,3 652 12,1 659 11,8
Retirees 1 317 23,9 1 254 23,3 1 442 25,9
Other people with no professional activity 793 14,4 822 15,3 837 15,0
  • 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 2 677 2 900 100,0 100,0 100,0
Farmer operators 29 0 0,0 0,8 0,4
Craftsmen, traders, business leaders 131 61 0,0 5,5 2,3
Managers and higher intellectual professions 416 279 3,1 21,3 5,4
Middle-level occupations 359 552 7,3 27,6 6,3
Services employee 270 542 12,2 22,7 5,7
Blue-collar workers 504 155 13,6 15,1 7,2
Retirees 649 793 0,0 0,0 67,0
Other people with no professional activity 318 519 63,8 7,0 5,6
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Municipality of Quesnoy-sur-Deûle (59482)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 2 570 100,0 2 534 100,0 2 747 100,0 6 811 6 548 6 638
One-person households (male and female) 527 20,5 572 22,6 783 28,5 527 572 783
 Single Male 207 8,0 246 9,7 373 13,6 207 246 373
 Single Female 320 12,5 326 12,9 410 14,9 320 326 410
Other households without families 45 1,7 20 0,8 19 0,7 154 60 39
Family households : 1 999 77,8 1 942 76,6 1 945 70,8 6 130 5 916 5 816
 Couple without children 750 29,2 753 29,7 806 29,3 1 528 1 540 1 633
 Couple with children 1 034 40,2 958 37,8 866 31,5 4 046 3 718 3 390
 Single parent 215 8,4 231 9,1 273 10,0 555 657 794
  • 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 3,51 3,42 3,30 3,15 3,00 2,80 2,65 2,57 2,41
  • (*) 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 0,9
20 to 24 years old 4,0 1,8 4,3
25 to 39 years old 4,3 4,2 8,2
40 to 54 years old 5,3 6,5 10,1
55 to 64 years old 11,6 13,3 15,7
65 to 79 years old 21,9 22,7 25,8
80 and above 48,9 50,7 54,0
  • 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 1,1 0,4 1,6
20 to 24 years old 18,1 13,8 10,3
25 to 39 years old 78,1 75,3 75,2
40 to 54 years old 81,9 78,7 75,2
55 to 64 years old 80,4 80,1 76,7
65 to 79 years old 71,3 71,3 70,8
80 and above 36,9 36,9 35,8
  • 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 46,2
Civil partnership 7,6
In cohabitation 8,9
Widowed 7,1
Divorced 5,5
Single 24,7
  • 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 2 747 100,0 6 638 100,0
including farmer operators 29 1,1 65 1,0
including craftsmen, traders, business leaders 126 4,6 403 6,1
including managers and higher intellectual professions 434 15,8 1 284 19,4
including intermediate professions 490 17,8 1 353 20,4
including employees 358 13,0 1 033 15,6
including workers 422 15,4 1 080 16,3
  • 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 1,1
Handicrafters, traders, business leaders 4,6
Managers and higher intellectual professions 15,8
Intermediate professions 17,8
Employees 13,0
Workers 15,4
  • 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 2 007 100,0 1 947 100,0 1 951 100,0
Couple with children 1 034 51,5 963 49,5 866 44,4
Single parent 223 11,1 231 11,9 279 14,3
 Male single parent 49 2,4 50 2,6 45 2,3
 Female single parent 174 8,7 181 9,3 233 12,0
Couple without children 750 37,4 753 38,7 806 41,3
  • 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 866 100,0
Traditional family 732 84,5
Blended family 134 15,5
  • 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 2 007 100,0 1 947 100,0 1 951 100,0
Without any 855 42,6 838 43,0 920 47,2
1 child 430 21,4 457 23,5 367 18,8
2 children 478 23,8 416 21,4 464 23,8
3 children 199 9,9 181 9,3 149 7,6
4 children or above 45 2,2 55 2,8 50 2,6
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Municipality of Quesnoy-sur-Deûle (59482)

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 1 314 1 437 1 702 1 937 2 150 2 516 2 687 2 676 2 915
Principal residences 1 277 1 384 1 609 1 792 2 067 2 397 2 559 2 536 2 754
Second dwellings and occasional dwellings 8 7 12 8 16 8 2 17 30
Vacant accommodations 29 46 81 137 67 111 126 123 131
  • (*) 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 95,2 94,7 94,5
Second dwellings and occasional dwellings 0,1 0,6 1,0
Vacant dwellings 4,7 4,6 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 2 687 100,0 2 676 100,0 2 915 100,0
Houses 2 380 88,6 2 379 88,9 2 401 82,4
Flats 271 10,1 288 10,8 501 17,2
Others 36 1,4 9 0,3 12 0,4
  • 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 –23 –0,9 218 8,1
due to the household size effect 75 2,8 174 6,5
due to the demographic effect –98 –3,6 44 1,6
  • 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 2 559 100,0 2 536 100,0 2 754 100,0
1 room 20 0,8 16 0,6 16 0,6
2 rooms 145 5,7 140 5,5 221 8,0
3 rooms 198 7,7 206 8,1 281 10,2
4 rooms 452 17,7 482 19,0 495 18,0
5 rooms or above 1 744 68,2 1 692 66,7 1 742 63,2
  • 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 5,1 5,1 5,0
House 5,4 5,3 5,4
Flat 3,0 2,9 2,9
  • 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 11,5 12,1 16,4
Moderate over-occupation 1,9 1,6 1,3
Severe over-occupation 0,2 0,2 0,0
Moderate under-occupation 15,9 17,0 15,1
Severe under-occupation 24,0 24,8 19,2
Very severe under-occupation 46,5 44,4 47,9
  • 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 2 665 100,0
Before 1919 78 2,9
From 1919 to 1945 569 21,3
From 1946 to 1970 443 16,6
From 1971 to 1990 691 25,9
From 1991 to 2005 557 20,9
From 2006 to 2019 327 12,3
  • 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 72 7
From 1919 to 1945 533 34
From 1946 to 1970 400 37
From 1971 to 1990 622 69
From 1991 to 2005 465 90
From 2006 to 2018 164 163
  • 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 2 754 100,0 6 632 5,0 2,1
Less than 2 years ago 268 9,7 591 4,1 1,9
From 2 to 4 years ago 470 17,1 1 155 4,4 1,8
From 5 to 9 years ago 502 18,2 1 392 4,8 1,7
10 years ago or above 1 514 55,0 3 494 5,3 2,3
  • 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 9,7
From 2 to 4 years ago 17,1
From 5 to 9 years ago 18,2
From 10 to 19 years ago 20,0
From 20 to 29 years ago 14,2
30 years ago or above 20,8
  • 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 2 559 100,0 2 536 100,0 2 754 100,0 6 632 17,1
Homeowner 1 797 70,2 1 814 71,5 1 891 68,7 4 781 20,4
Tenant 721 28,2 684 27,0 826 30,0 1 781 9,8
including public tenants 391 15,3 373 14,7 469 17,0 1 083 12,0
Housed for free 42 1,6 37 1,5 37 1,3 70 13,0
  • 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 1 664 65,0 1 694 66,8 1 882 68,3
Fuel oil 190 7,4 161 6,3 110 4,0
Electricity 444 17,3 464 18,3 510 18,5
Bottled or tank gas 29 1,1 28 1,1 28 1,0
Other (wood, solar, geothermal, etc.) 232 9,1 190 7,5 224 8,1
  • 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 2 269 88,7 2 266 89,4 2 463 89,4
 1 car 1 049 41,0 1 044 41,2 1 171 42,5
 2 cars or above 1 220 47,7 1 222 48,2 1 293 46,9
  • 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 2 559 100,0 2 536 100,0 2 754 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 1 939 75,8 1 945 76,7 2 116 76,8
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Municipality of Quesnoy-sur-Deûle (59482)

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 342 269 78,7 76,3 81,3
6 to 10 years old 482 479 99,4 99,6 99,1
11 to 14 years old 352 350 99,4 100,0 98,7
15 to 17 years old 268 263 98,1 97,8 98,4
18 to 24 years old 533 307 57,6 55,1 60,3
25 to 29 years old 268 15 5,5 6,0 5,2
30 years old or above 4 484 19 0,4 0,3 0,5
  • 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 85,5 84,5 78,7
6 to 10 years old 99,6 99,2 99,4
11 to 14 years old 99,5 99,8 99,4
15 to 17 years old 98,9 98,7 98,1
18 to 24 years old 50,8 55,3 57,6
25 to 29 years old 3,0 6,5 5,5
30 years old or above 0,5 0,6 0,4
  • 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 4 949 2 348 2 600
Proportion of graduates in percentage
No diploma or primary education certificate 18,7 16,9 20,4
BEPC brevet des collèges or DNB 5,0 4,5 5,4
CAP, BEP or equivalent 20,5 22,8 18,5
Baccalauréat, brevet professionnel or equivalent 16,3 16,4 16,2
2 years at university 14,9 14,6 15,1
3 to 4 years at university 11,3 10,2 12,3
5 years or more at university 13,3 14,7 12,1
  • 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 29,1 18,7
BEPC brevet des collèges or DNB 5,3 5,0
CAP, BEP or equivalent 20,7 20,5
Baccalauréat, brevet professionnel or equivalent 16,4 16,3
2 years or more at university 28,5 39,5
  • 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 Quesnoy-sur-Deûle (59482)

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 4 514 4 250 4 316
Working age adult in % 74,1 76,1 76,0
 Working age adults with a job in % 67,1 68,7 70,6
 Unemployed workers in % 7,0 7,4 5,4
Economically inactive people in % 25,9 23,9 24,0
 Pupils, students or interns in % 10,2 11,4 10,4
 Retirees in % 8,8 6,6 6,4
 Other economically inactive people in % 6,9 5,9 7,2
  • 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 4 316 3 280 76,0 3 045 70,6
 15 to 24 years old 801 314 39,2 263 32,8
 25 to 54 years old 2 552 2 372 93,0 2 228 87,3
 55 to 64 years old 963 594 61,6 554 57,5
Male 2 131 1 654 77,6 1 531 71,9
 15 to 24 years old 415 170 41,1 141 34,0
 25 to 54 years old 1 241 1 175 94,7 1 103 88,9
 55 to 64 years old 475 308 64,9 287 60,6
Female 2 185 1 626 74,4 1 514 69,3
 15 to 24 years old 386 144 37,3 122 31,7
 25 to 54 years old 1 311 1 197 91,3 1 125 85,8
 55 to 64 years old 489 285 58,4 267 54,6
  • 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 70,6
Unemployed workers 5,4
Retirees 6,4
Pupils, students or interns 10,4
Other economically inactive people 7,2
  • 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 3 406 3 093 3 301 3 000 3 286 3 013
including farmer operators 45 41 30 30 24 24
including handicrafters, traders and business leaders 154 150 156 146 183 183
including managers and higher intellectual professions 616 600 587 567 690 655
including intermediate professions 957 896 1 029 978 911 876
including employees 876 803 818 723 812 696
including workers 730 604 652 557 654 579
  • 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 316 313 235
Unemployment rate in % 9,5 9,7 7,2
Unemployment of the 15-24 aged 24,6 30,9 16,3
Unemployment of the 25-54 aged 7,6 7,2 6,1
Unemployment of the 55-64 aged 6,7 9,0 6,6
  • 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 17,9
BEPC brevet des collèges or DNB 7,7
CAP, BEP or equivalent 9,7
Baccalauréat, brevet professionnel or equivalent 9,2
2 years at university 4,3
3 to 4 years at university 3,0
5 years or more at university 4,8
  • 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 1 397 1 403 1 467
Working age adult living in the area 3 041 2 939 3 067
Occupational concentration by industry 45,9 47,7 47,8
employment rate of 15 years old or above in % 60,8 60,4 59,5
  • 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 1 397 100,0 1 403 100,0 1 467 100,0
Employee 1 160 83,0 1 135 80,9 1 174 80,1
 including women 614 44,0 598 42,6 626 42,7
 including part time jobs 254 18,2 262 18,7 228 15,5
Non-employee 238 17,0 268 19,1 292 19,9
 including women 86 6,2 94 6,7 111 7,6
 including part time jobs 19 1,4 27 1,9 20 1,4
  • 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 1 526 100,0
Farmer operators 40 2,6
Handicrafters, traders, business leaders 167 11,0
Managers and higher intellectual professions 172 11,3
Intermediate professions 314 20,5
Employees 471 30,9
Workers 362 23,7
  • 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 3,3 2,1 2,6
Handicrafters, traders, business leaders 8,2 9,1 11,0
Managers and higher intellectual professions 7,2 7,4 11,3
Intermediate professions 23,6 26,4 20,5
Employees 33,8 33,3 30,9
Workers 23,9 21,8 23,7
  • 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 1 387 100,0 1 511 100,0 1 526 100,0 47,3 79,4
Agriculture 51 3,6 61 4,1 52 3,4 19,6 23,4
Industry 117 8,4 104 6,9 148 9,7 26,9 97,0
Construction 143 10,3 134 8,9 141 9,2 20,6 68,3
Wholesale and retail trade/transports/accommodations and food service activities 541 39,0 507 33,5 701 45,9 43,1 73,1
Public administration/education/human health/social work 536 38,6 704 46,6 484 31,7 70,2 92,3
  • 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 42,3 12,7
Industry 24,7 100,0
Construction 30,2 0,0
Wholesale and retail trade, transports, accommodations and food service activities 40,9 49,2
Public administration, education, human health, social work 73,6 30,2
  • 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 Quesnoy-sur-Deûle (59482)

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 3 067 100,0 16,9 49,8
Employees 2 684 87,5 17,8 51,2
Non-employees 383 12,5 11,0 39,8
  • 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 1 541 100 1 526 100
Employees 1 310 85,0 1 374 90,0
 Tenured personnel and open-ended employment contracts 1 175 76,2 1 215 79,6
 Fixed-term employment contracts 62 4,0 91 6,0
 Temporary employment 25 1,6 16 1,1
 Assisted jobs 3 0,2 1 0,1
 Apprentice ship contract - Traineeship 45 2,9 50 3,3
Non-employees 231 15,0 152 10,0
 Independents 112 7,3 106 6,9
 Employers 118 7,7 42 2,7
 Caregivers 0 0,0 5 0,3
  • 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 1 304 7,6 1 368 27,0
15 to 24 years old 136 34,3 117 44,6
25 to 54 years old 944 4,2 1 010 24,4
55 to 64 years old 223 5,8 241 29,5
  • 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 6,1 9,1 7,9
Female 30,3 31,2 27,2
  • 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 3 040 100 2 939 100 3 067 100
Working in their residential zone 513 16,9 566 19,3 471 15,4
Working in another zone 2 527 83,1 2 373 80,7 2 596 84,6
  • 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 4,4
Walking 2,7
Bicycle 2,5
Motorized two-wheeled vehicles 0,7
Car or truck 82,8
Public transports 6,8
  • 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, 2015-2024

Municipality of Quesnoy-sur-Deûle (59482)

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
2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Domiciled deaths 60 45 70 63 50 60 67 68 62 56
Domiciled births 81 72 70 67 75 77 68 64 63 65
  • Source: Insee, civil status statistics in geography as of 01/01/2025.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2025.

Household income and poverty in 2021

Municipality of Quesnoy-sur-Deûle (59482)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 2 687
Number of people in tax households 6 602
Median disposable income (per consumption unit in euros) 25 610
Share of actually taxed tax households (in %) 60
  • 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 s
40 to 49 years old s
50 to 59 years old s
60 to 74 years old s
75 and over s
Altogether 10
  • 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 5
Tenant 24
Altogether 10
  • 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 74,2
   Wages 67,1
   Unemployment pensions 2,0
   Self-employed income 5,1
Retirement pension or annuity 23,1
Capital income (real estate, financial, others) 15,4
Social benefits 3,9
   Child benefit 1,7
   Income support 1,6
   Housing benefit 0,6
Tax –16,6
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) 25 610
Inter-decile ratio 3,1
1st decile (in euros) 13 890
9th decile (in euros) 42 390
  • 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 2023

Municipality of Quesnoy-sur-Deûle (59482)

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023
Altogether Female Male
Altogether 2 266 2 189 2 307
Managerial staff* 3 742 3 577 3 829
Intermediate professions 2 480 2 392 2 605
Employees 1 891 1 854 1 966
Workers 2 080 1 736 2 104
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • 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, jobs at place of work by geography at 01/01/2025.

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • 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, jobs at place of work by geography at 01/01/2025.

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023
Pay gap (%)
Altogether –5,1
Managerial staff* –6,6
Intermediate professions –8,2
Employees –5,7
Workers –17,5
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • 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, jobs at place of work by geography at 01/01/2025.

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • 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, jobs at place of work by geography at 01/01/2025.

SAL T1 - Average net monthly FTE salary (in euros) by age in 2023

SAL T1 - Average net monthly FTE salary (in euros) by age in 2023
Age Altogether Female Male
Less than 25 years old 1 823 1 838 1 816
25 to 39 years old 2 174 2 134 2 198
40 to 49 years old 2 355 2 263 2 405
50 to 54 years old 2 299 2 224 2 341
55 years old or older 2 538 2 372 2 603
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • 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, jobs at place of work by geography at 01/01/2025.

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023
Pay gap (%)
Less than 25 years old 1,2
25 to 39 years old –2,9
40 to 49 years old –5,9
50 to 54 years old –5,0
55 years old or older –8,9
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • 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, jobs at place of work by geography at 01/01/2025.

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023

  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • 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, jobs at place of work by geography at 01/01/2025.

Establishment characteristics at the end of 2023

Municipality of Quesnoy-sur-Deûle (59482)

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 178 100,0 19 134 11 9 5
Agriculture, forestry and fishing 8 4,5 1 7 0 0 0
Industrial economy 11 6,2 1 7 0 2 1
Building industry 25 14,0 1 21 2 1 0
Trade, transport, various services 119 66,9 15 90 9 5 0
General government, education, healthcare, social action 15 8,4 1 9 0 1 4
  • 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 1 172 100,0 409 132 242 259 130
Agriculture, forestry and fishing 13 1,1 13 0 0 0 0
Industrial economy 139 11,9 20 0 62 57 0
Building industry 110 9,4 58 28 24 0 0
Trade, transport, various services 517 44,1 281 104 132 0 0
General government, education, healthcare, social action 393 33,5 37 0 24 202 130
  • 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
Part
Agriculture, forestry and fishing 4,5
Industrial economy 6,2
Building industry 14,0
Trade, transport, various services 66,9
General government, education, healthcare, social action 8,4
  • 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
Part
50 or more employees 2,8
20 to 49 employees 5,1
10 to 19 employees 6,2
1 to 9 employees 75,3
0 employee 10,7
  • 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 178 100,0 1 172 100,0
Productive sphere 73 41,0 430 36,7
of which public domain 0 0,0 0 0,0
Presential sphere 105 59,0 742 63,3
of which public domain 5 2,8 199 17,0
  • 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 368 100,0
Employers of childminders 145 39,4
Employers of other employees 223 60,6
  • 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 Quesnoy-sur-Deûle (59482)

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 82 74,4 8,5 17,1 0,0
Industry 8 100,0 0,0 0,0 0,0
Construction 0
Wholesale and retail trade/transports/accommodations and food service activities 23 69,6 13,0 17,4 0,0
Information/communication 6 83,3 0,0 16,7 0,0
Finance and insurance activities 3 0,0 33,3 66,7 0,0
Real estate activities 2 50,0 0,0 50,0 0,0
Professional/scientific/technical activites/administrative and support service activities 22 68,2 9,1 22,7 0,0
Public administration/education/healthcare/social work 6 100,0 0,0 0,0 0,0
Other service activities 12 83,3 8,3 8,3 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 33 39 44 31 41 55 44 55 62 60 72 77 82
Sole proprietorship 16 29 33 20 27 39 29 40 37 40 50 57 61
SARL 15 10 4 4 9 7 11 7 10 8 10 11 7
SAS 1 0 5 5 4 8 2 7 14 12 12 8 14
Other societies 1 0 2 2 1 1 2 1 1 0 0 1 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 91 100,0
Industry 8 8,8
Construction 0 0,0
Wholesale and retail trade/transports/accommodations and food service activities 25 27,5
Information/communication 6 6,6
Finance and insurance activities 5 5,5
Real estate activities 2 2,2
Professional/scientific/technical activites/administrative and support service activities 23 25,3
Public administration/education/healthcare/social work 6 6,6
Other service activities by the number of business creations including free lancers 16 17,6
  • 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 35 40 49 46 51 54 50 59 67 66 78 79 91
  • 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 2023

Municipality of Quesnoy-sur-Deûle (59482)

DEN T3 - Number of economically active legal units by economic sector in 2023

DEN T3 - Number of economically active legal units by economic sector in 2023
Sector of activity Number %
Altogether 459 100,0
Industry 26 5,7
Construction 44 9,6
Wholesale and retail trade/transports/accommodations and food service activities 90 19,6
Information/communication 19 4,1
Finance and insurance activities 30 6,5
Real estate activities 25 5,4
Professional/scientific/technical activites/administrative and support service activities 100 21,8
Public administration/education/human health/social work 73 15,9
Other service activities 52 11,3
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN T4 - Number of economically active establishments by economic sector in 2023

DEN T4 - Number of economically active establishments by economic sector in 2023
Sector of activity Number %
Altogether 499 100,0
Industry 29 5,8
Construction 46 9,2
Wholesale and retail trade/transports/accommodations and food service activities 97 19,4
Information/communication 21 4,2
Finance and insurance activities 35 7,0
Real estate activities 28 5,6
Professional/scientific/technical activites/administrative and support service activities 105 21,0
Public administration/education/human health/social work 85 17,0
Other service activities 53 10,6
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

Facilities and services for the population in 2024

Municipality of Quesnoy-sur-Deûle (59482)

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 1
Bakery and pastry shop 1
Service station 1
Electric vehicle charging station 0
Hair salon 12
  • 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 8
Dentist 4
Physiotherapist 12
Nurse 12
Psychologist 4
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 3
Middle school 0
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 Quesnoy-sur-Deûle (59482)

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 Quesnoy-sur-Deûle (59482)

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
5 417 5 366 5 262 5 306
  • 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.

Wage in full-time equivalent (FTE) :

Wage in full-time equivalent (FTE) is a wage converted to a full-time throughout the full year, regardless of the actual workload. For an employee who has held a job for six months at 80% and has earned a total of 10 000 euros, the wage in FTE is 10 000 / (0.5 * 0.8) = 25 000 euros per year.

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 (BTS)

The scope corresponds to employees in the private sector, including beneficiaries of subsidised contracts and professionalisation contracts; excluding apprentices, trainees, agricultural employees and employees of private individuals.

Business Demography Information System (Side)

The indicators relate to the creation and stock of companies and establishments in all non-agricultural productive and market activities. This field includes financial activities.

When referring to enterprises, all counts actually relate to legal units for this source. When a legal unit comprises several establishments, it is located at its head office.

The number of new enterprises or establishments corresponds to the number of legal units or establishments created during year N.

The number of businesses or establishments in year N corresponds to the number of legal units or economically active establishments in 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 2025;

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 (BTS), 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 01/01/2025;

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 01/01/2025;

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.

Confidentiality and precautions of the All Employees databases (BTS)

Data from the All Employees databases are subject to statistical confidentiality.

No statistics are published for areas with fewer than 2,000 inhabitants.

In addition, each box in the table must contain at least 5 employees and no employee may represent more than 80% of the total payroll for the box. Similarly, in the case of workplace data, no box should relate to fewer than 3 establishments (or companies) and no establishment (or company) should account for more than 85% of the total payroll in the box.

As a result of these constraints, results from certain areas with more than 2,000 inhabitants were excluded from the distribution.

The salary data in the All employees database has not been assessed or validated at a geographical level finer than that of the départements. Beyond that level, the data must therefore be used with caution.

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.