données locales

Paru le : 21/02/2023

Full set of local data inter-communality metropolis of CA Caux Seine Agglo (200010700)

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

Growth and structure of the population in 2019

inter-communality metropolis of CA Caux Seine Agglo (200010700)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 74 791 100,0 76 353 100,0 78 006 100,0
0 to 14 years old 15 231 20,4 15 493 20,3 15 436 19,8
15 to 29 years old 13 242 17,7 12 880 16,9 12 528 16,1
30 to 44 years old 15 641 20,9 15 019 19,7 14 808 19,0
45 to 59 years old 15 794 21,1 15 612 20,4 15 709 20,1
60 to 74 years old 9 196 12,3 11 037 14,5 12 929 16,6
75 and over 5 686 7,6 6 312 8,3 6 596 8,5
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2008 2013 2019
0 to 14 years old 20,4 20,3 19,8
15 to 29 years old 17,7 16,9 16,1
30 to 44 years old 20,9 19,7 19,0
45 to 59 years old 21,1 20,4 20,1
60 to 74 years old 12,3 14,5 16,6
75 and over 7,6 8,3 8,5
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP T1 - Population since 1968: population and average density (residents per square kilometre)

POP T1 - Population since 1968: population and average density (residents per square kilometre)
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Population 59 464 64 453 68 874 72 304 73 255 74 791 76 353 78 006
Average density (inhab / km²) 103,5 112,2 119,9 125,9 127,6 130,2 133,0 135,8
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2008 2008 to 2013 2013 to 2019
Average annual change in population in % 1,2 0,9 0,6 0,1 0,2 0,4 0,4
due to the natural balance in % 1,0 0,6 0,8 0,5 0,4 0,4 0,3
due to the apparent balance of inflows and outflows in % 0,2 0,3 –0,2 –0,4 –0,2 –0,0 0,1
Natality rate (‰) 18,7 15,3 16,2 13,4 13,0 13,0 11,9
Mortality rate (‰) 9,2 8,9 8,5 8,4 8,7 8,6 9,1
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022
  • Sources: Insee, RP1968 to 1999 counts, RP2008 to RP2019 main holdings - Civil status

POP T3 - Population by age and sex in 2019

POP T3 - Population by age and sex in 2019
Male % Female %
Altogether 38 347 100,0 39 659 100,0
0 to 14 years old 7 863 20,5 7 574 19,1
15 to 29 years old 6 457 16,8 6 071 15,3
30 to 44 years old 7 436 19,4 7 372 18,6
45 to 59 years old 7 744 20,2 7 965 20,1
60 to 74 years old 6 284 16,4 6 645 16,8
75 to 89 years old 2 302 6,0 3 415 8,6
90 years and over 261 0,7 618 1,6
0 to 19 years old 10 389 27,1 9 851 24,8
20 to 64 years old 21 516 56,1 21 574 54,4
65 and over 6 443 16,8 8 234 20,8
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
2013 % 2019 %
People one year old and over, previously living: 75 341 100,0 77 100 100,0
In the same house 67 712 89,9 69 369 90,0
In another house in the same town 2 318 3,1 2 509 3,3
In another town 5 312 7,0 5 223 6,8
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

POP G3 - Home address 1 year before for people living in another house, by age in %
In another house in the same town In another town
1 to 14 years old 33,9 66,1
15 to 24 years old 27,8 72,2
25 to 54 years old 31,8 68,2
55 years old and over 38,4 61,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

POP T5 - Population aged 15 years and over by socioprofessional classification
2008 % 2013 % 2019 %
Altogether 59 501 100,0 60 800 100,0 62 568 100,0
Farmer operators 518 0,9 435 0,7 462 0,7
Craftsmen, traders, business leaders 1 328 2,2 1 526 2,5 1 497 2,4
Managers and higher intellectual professions 2 547 4,3 2 748 4,5 2 566 4,1
Middle-level occupations 7 991 13,4 8 976 14,8 9 081 14,5
Services employee 9 891 16,6 10 283 16,9 10 515 16,8
Blue-collar workers 12 208 20,5 11 718 19,3 11 457 18,3
Retirees 14 940 25,1 16 015 26,3 17 137 27,4
Other people with no professional activity 10 078 16,9 9 097 15,0 9 854 15,7
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019
Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 30 503 32 065 100,0 100,0 100,0
Farmer operators 351 111 0,1 1,1 0,5
Craftsmen, traders, business leaders 950 548 0,6 3,9 1,1
Managers and higher intellectual professions 1 444 1 122 1,0 6,5 2,3
Middle-level occupations 4 783 4 298 8,3 24,5 4,7
Services employee 1 761 8 754 14,5 26,2 6,2
Blue-collar workers 9 523 1 935 18,9 28,8 5,5
Retirees 8 399 8 737 0,0 0,3 69,3
Other people without professional activity 3 292 6 561 56,6 8,7 10,4
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

inter-communality metropolis of CA Caux Seine Agglo (200010700)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 29 718 100,0 31 014 100,0 32 624 100,0 73 722 75 183 77 036
One-person households (male and female) 7 609 25,6 8 263 26,6 9 425 28,9 7 609 8 263 9 425
 Single Male 3 066 10,3 3 423 11,0 4 154 12,7 3 066 3 423 4 154
 Single Female 4 543 15,3 4 840 15,6 5 271 16,2 4 543 4 840 5 271
Other households without families 371 1,2 432 1,4 378 1,2 1 002 1 189 913
Family households: 21 739 73,1 22 319 72,0 22 821 70,0 65 112 65 731 66 698
 Couple with no children 9 131 30,7 9 493 30,6 9 950 30,5 18 467 19 254 20 246
 Couple with children 10 559 35,5 10 398 33,5 10 148 31,1 41 085 40 106 39 347
 Single parent 2 049 6,9 2 427 7,8 2 723 8,3 5 560 6 370 7 105
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

FAM G1 - Households’ size since 1968

FAM G1 - Households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Average number of occupants per main residence 3,30 3,15 2,96 2,85 2,66 2,48 2,43 2,36
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G1 - Households’ size since 1968

  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G2 - Share of people aged 15 years and over living alone, by age – household population

FAM G2 - Share of people aged 15 years and over living alone, by age – household population
en % 2008 2013 2019
15 to 19 years old 0,6 0,8 0,7
20 to 24 years old 7,8 8,3 8,5
25 to 39 years old 8,5 8,0 9,7
40 to 54 years old 8,8 9,8 11,3
55 to 64 years old 12,8 15,0 17,7
65 to 79 years old 27,0 24,3 23,4
80 and over 51,7 51,5 49,6
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G2 - Share of people aged 15 years and over living alone, by age – household population

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G3 - Share of people aged 15 years and over living as a couple, by age

FAM G3 - Share of people aged 15 years and over living as a couple, by age
en % 2008 2013 2019
15 to 19 years old 2,7 2,3 2,0
20 to 24 years old 35,6 35,5 33,8
25 to 39 years old 78,5 78,2 75,9
40 to 54 years old 81,8 79,9 77,9
55 to 64 years old 82,0 79,8 77,3
65 to 79 years old 67,4 70,7 73,0
80 and over 35,8 37,2 39,8
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G3 - Share of people aged 15 years and over living as a couple, by age

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FAM G4 - Marital status of the population aged 15 years and over in 2019

FAM G4 - Marital status of the population aged 15 years and over in 2019
%
Married 48,4
Civil partnership 5,4
In cohabitation 12,2
Widowed 7,4
Divorced 5,0
Single 21,5
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FAM G4 - Marital status of the population aged 15 years and over in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FAM T2 - Households by socioprofessional classification of the reference person in 2019

FAM T2 - Households by socioprofessional classification of the reference person in 2019
Number of households % Household population %
Altogether 32 624 100,0 77 036 100,0
Farmer operators 334 1,0 947 1,2
Craftsmen, traders, business leaders 950 2,9 2 708 3,5
Managers and higher intellectual professions 1 584 4,9 4 124 5,4
Middle-level occupations 5 364 16,4 14 994 19,5
Services employee 5 120 15,7 13 450 17,5
Blue-collar workers 7 756 23,8 22 209 28,8
Retirees 10 125 31,0 16 126 20,9
Other people with no professional activity 1 390 4,3 2 479 3,2
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM G5 - Households by socioprofessional classification of the reference person in 2019

FAM G5 - Households by socioprofessional classification of the reference person in 2019
%
Farmer operators 1,0
Handicrafters, traders, business leaders 2,9
Managers and higher intellectual professions 4,9
Middle-level occupations 16,4
Services employee 15,7
Blue-collar workers 23,8
Retirees 31,0
Unemployed persons 4,3
  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM G5 - Households by socioprofessional classification of the reference person in 2019

  • Sources: Insee, RP2019 additional operation, geography as of 01/01/2022.

FAM T3 - Families by composition

FAM T3 - Families by composition
2008 % 2013 % 2019 %
Altogether 21 790 100,0 22 409 100,0 22 922 100,0
Couple with children 10 570 48,5 10 420 46,5 10 171 44,4
Single parent 2 079 9,5 2 471 11,0 2 760 12,0
Male single parent 340 1,6 549 2,4 575 2,5
Female single parent 1 739 8,0 1 923 8,6 2 185 9,5
Couple with no children 9 141 42,0 9 517 42,5 9 991 43,6
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

FAM T4 - Families by number of children under 25 years old

FAM T4 - Families by number of children under 25 years old
2008 % 2013 % 2019 %
Altogether 21 790 100,0 22 409 100,0 22 922 100,0
No children 10 132 46,5 10 525 47,0 11 080 48,3
1 child 4 696 21,6 4 889 21,8 4 839 21,1
2 children 4 639 21,3 4 891 21,8 4 796 20,9
3 children 1 761 8,1 1 704 7,6 1 714 7,5
4 children and over 562 2,6 399 1,8 493 2,2
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

inter-communality metropolis of CA Caux Seine Agglo (200010700)

LOG T1 - Number of dwellings by category since 1968

LOG T1 - Number of dwellings by category since 1968
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Altogether 18 972 21 767 25 341 27 177 28 949 31 699 33 519 35 666
Main residences 17 608 19 893 22 810 24 948 27 141 29 700 31 034 32 643
Second homes 497 746 789 830 770 594 544 573
Vacant dwellings 867 1 128 1 742 1 399 1 038 1 405 1 942 2 450
  • (*) 1967 and 1974 for the overseas departments
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.

LOG T2 - Types and categories of dwellings

LOG T2 - Types and categories of dwellings
2008 % 2013 % 2019 %
Altogether 31 699 100,0 33 519 100,0 35 666 100,0
Main residences 29 700 93,7 31 034 92,6 32 643 91,5
Second homes 594 1,9 544 1,6 573 1,6
Vacant dwellings 1 405 4,4 1 942 5,8 2 450 6,9
Houses 24 135 76,1 25 705 76,7 27 496 77,1
Flats 7 143 22,5 7 633 22,8 7 969 22,3
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T3 - Main residences by number of rooms

LOG T3 - Main residences by number of rooms
2008 % 2013 % 2019 %
Altogether 29 700 100,0 31 034 100,0 32 643 100,0
1 room 826 2,8 800 2,6 760 2,3
2 rooms 2 144 7,2 2 140 6,9 2 061 6,3
3 rooms 5 362 18,1 5 509 17,8 6 004 18,4
4 rooms 8 762 29,5 9 103 29,3 9 396 28,8
5 rooms and over 12 606 42,4 13 482 43,4 14 421 44,2
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T4 - Average number of rooms in main residences

LOG T4 - Average number of rooms in main residences
2008 2013 2019
All main residences 4,3 4,4 4,4
Houses 4,7 4,8 4,8
Flats 3,1 3,1 3,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)
%
Over-occupied 1,8
Non-over-occupied 98,2
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

LOG G0 - Main residences by over-occupation (except one room dwellings occupied by one person)

  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

LOG T5 - Main residences in 2019 by completion period

LOG T5 - Main residences in 2019 by completion period
Number %
Principal residences build before 2016 31 823 100,0
before 1919 5 328 16,7
from 1919 to 1945 2 500 7,9
from 1946 to 1970 6 883 21,6
from 1971 to 1990 9 790 30,8
from 1991 to 2005 3 875 12,2
from 2006 to 2015 3 446 10,8
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G1 - Main residences in 2019 by completion period and housing category

LOG G1 - Main residences in 2019 by completion period and housing category
House Flat
before 1919 4 980 310
from 1919 to 1945 2 212 286
from 1946 to 1970 4 348 2 519
from 1971 to 1990 7 356 2 374
from 1991 to 2005 3 095 757
from 2006 to 2015 2 915 511
  • Main residences built before 2016.
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G1 - Main residences in 2019 by completion period and housing category

  • Main residences built before 2016.
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG T6 - Main residence tenure in 2019

LOG T6 - Main residence tenure in 2019
Number of households Share of households in % Household population Average number of rooms
per dwelling per person
Altogether 32 643 100,0 76 900 4,4 1,9
Less than 2 years 3 530 10,8 8 113 3,8 1,6
From 2 to 4 years 6 274 19,2 15 740 4,0 1,6
From 5 to 9 years 5 292 16,2 14 372 4,3 1,6
10 years and over 17 547 53,8 38 675 4,7 2,1
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

LOG G2 - Households by main residence tenure in 2019
Share of households in%
Less than 2 years 10,8
From 2 to 4 years 19,2
From 5 to 9 years 16,2
From 10 to 19 years 20,3
From 20 to 29 years 11,6
30 years and over 21,9
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG G2 - Households by main residence tenure in 2019

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

LOG T7 - Main residences by occupational status

LOG T7 - Main residences by occupational status
2008 2013 2019
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 29 700 100,0 31 034 100,0 32 643 100,0 76 900 16,6
Homeowner 18 735 63,1 19 749 63,6 20 957 64,2 51 796 20,7
Tenant 10 574 35,6 10 903 35,1 11 346 34,8 24 398 9,1
(including social sector housing) 5 544 18,7 5 557 17,9 5 894 18,1 13 003 11,2
Housed for free 391 1,3 381 1,2 340 1,0 706 14,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T8M - Main residences by material comfort

LOG T8M - Main residences by material comfort
2008 % 2013 % 2019 %
Altogether 29 700 100,0 31 034 100,0 32 643 100,0
Bathroom including a shower or a bath 28 911 97,3 30 153 97,2 31 746 97,3
Collective central heating 3 532 11,9 3 687 11,9 3 778 11,6
Individual central heating 14 596 49,1 13 893 44,8 14 500 44,4
Individual electric heating 7 777 26,2 8 727 28,1 9 354 28,7
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2008 % 2013 % 2019 %
Altogether 29 700 100,0 31 034 100,0 32 643 100,0
At least one parking spot 20 408 68,7 21 293 68,6 22 794 69,8
At least one car 25 682 86,5 27 165 87,5 28 752 88,1
1 car 13 209 44,5 13 480 43,4 14 047 43,0
2 cars and over 12 473 42,0 13 686 44,1 14 705 45,0
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

inter-communality metropolis of CA Caux Seine Agglo (200010700)

FOR T1 - Enrollment by age and sex in 2019

FOR T1 - Enrollment by age and sex in 2019
Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 3 951 2 896 73,3 73,2 73,4
6 to 10 years old 5 418 5 309 98,0 97,9 98,1
11 to 14 years old 4 324 4 259 98,5 98,3 98,7
15 to 17 years old 3 243 3 127 96,4 96,4 96,5
18 to 24 years old 5 081 1 701 33,5 31,3 36,0
25 to 29 years old 4 205 89 2,1 1,7 2,5
30 years old and over 50 042 244 0,5 0,4 0,5
  • Source: Insee, RP2019 principal exploitation, geography at the 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
2008 2013 2019
2 to 5 years old 72,9 73,4 73,3
6 to 10 years old 98,8 99,1 98,0
11 to 14 years old 99,1 99,0 98,5
15 to 17 years old 96,8 96,2 96,4
18 to 24 years old 35,6 34,5 33,5
25 to 29 years old 2,7 2,0 2,1
30 years old and over 0,5 0,5 0,5
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR G1 - Enrollment rate by age (in %)

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2019
Altogether Male Female
Proportion of unschooled aged 15 years or above 57 408 27 899 29 510
Proportion of graduates in percentage
No diploma or primary education certificate 25,3 21,6 28,8
BEPC brevet des collèges or DNB 5,0 4,1 5,9
CAP, BEP or equivalent 32,8 39,3 26,6
Baccalauréat, brevet professionnel or equivalent 17,4 17,5 17,4
2 years at university 10,2 9,4 10,9
3 to 4 years at university 5,3 4,1 6,4
5 years and over at university 3,9 3,9 3,9
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)
2008 2019
No diploma or primary education certificate 36,6 25,3
BEPC brevet des collèges or DNB 5,3 5,0
CAP, BEP or equivalent 30,4 32,8
Baccalauréat, brevet professionnel or equivalent 13,7 17,4
2 years and over at university 13,9 19,4
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)

  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

Labor force, employment and unemployment within the sense of the census in 2019

inter-communality metropolis of CA Caux Seine Agglo (200010700)

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

EMP T1 - Population aged 15 to 64 by economic activity status
2008 2013 2019
Altogether 48 415 48 536 47 894
Labor force in % 71,4 73,5 75,0
 including people in work in % 64,0 63,5 65,0
 including unemployed workers in % 7,4 10,1 10,0
Economically inactive people in % 28,6 26,5 25,0
 including pupils, students or interns in % 8,4 7,7 8,1
 including retirees in % 9,3 9,7 7,8
 including other economically inactive people in % 10,8 9,0 9,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019
Population Labor force Activity rate in % People in work Employment rate in %
Altogether 47 894 35 920 75,0 31 145 65,0
 15 to 24 years old 8 323 4 052 48,7 2 887 34,7
 25 to 54 years old 29 580 27 071 91,5 23 998 81,1
 55 to 64 years old 9 990 4 797 48,0 4 261 42,7
Male 24 042 18 927 78,7 16 794 69,9
 15 to 24 years old 4 358 2 306 52,9 1 710 39,2
 25 to 54 years old 14 762 14 211 96,3 12 884 87,3
 55 to 64 years old 4 922 2 411 49,0 2 200 44,7
Female 23 852 16 993 71,2 14 351 60,2
 15 to 24 years old 3 965 1 746 44,0 1 177 29,7
 25 to 54 years old 14 818 12 861 86,8 11 113 75,0
 55 to 64 years old 5 068 2 386 47,1 2 061 40,7
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 65,0
Unemployed workers 10,0
Retirees 7,8
Pupils, students or interns 8,1
Other economically inactive people 9,1
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification
2008 including people in work 2013 including people in work 2019 including people in work
Altogether 34 647 31 168 35 920 31 151 35 807 31 000
including
 Farmer operators 506 498 417 413 439 439
 Handicrafters, traders and business leaders 1 327 1 260 1 473 1 404 1 447 1 344
 Managers and higher intellectual professions 2 529 2 486 2 739 2 664 2 510 2 382
 Middle-level occupations 7 963 7 558 8 932 8 330 9 047 8 414
 Services employee 9 856 8 647 10 256 8 605 10 408 8 681
 Blue-collar workers 12 162 10 720 11 657 9 734 11 421 9 740
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
2008 2013 2019
Number of unemployed workers 3 591 4 879 4 775
Unemployment rate in % 10,4 13,7 13,3
Unemployment of the 15-24 aged 24,8 31,2 28,8
Unemployment of the 25-54 aged 8,4 11,2 11,4
Unemployment of the 55-64 aged 6,5 11,7 11,2
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019
Unemployment rate in %
No diploma or primary education certificate 23,8
BEPC brevet des collèges or DNB 20,2
CAP, BEP or equivalent 14,5
Baccalauréat, brevet professionnel or equivalent 12,9
2 years at university 6,7
3 to 4 years at university 5,6
5 years and over at university 5,4
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
2008 2013 2019
Number of jobs in the area 27 935 26 641 25 433
People in work living in the area 31 128 31 016 31 431
Employment concentration indicator 89,7 85,9 80,9
Activity rate of 15 years old and over in % 58,3 59,0 57,9
  • The employment concentration indicator is equal to the number of jobs in the area per 100 people in work living in the area.
  • Sources: Insee, RP2008, RP2013 and RP2019, main holdings, place of residence and place of work, geography as of 01/01/2022.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2008 % 2013 % 2019 %
Altogether 27 935 100,0 26 641 100,0 25 433 100,0
Employee 25 508 91,3 24 048 90,3 22 957 90,3
 including women 10 651 38,1 10 437 39,2 10 241 40,3
 including part-time workers 4 670 16,7 4 666 17,5 4 191 16,5
Non-employee 2 427 8,7 2 594 9,7 2 476 9,7
 including women 888 3,2 990 3,7 1 028 4,0
 including part-time workers 244 0,9 282 1,1 317 1,2
  • Sources: Insee, RP2008, RP2013 and RP2019, main workplaces, geography as of 01/01/2022.

EMP T7 - Employment by socioprofessional activity in 2019

EMP T7 - Employment by socioprofessional activity in 2019
Number %
Altogether 25 518 100,0
Farmer operators 439 1,7
Handicrafters, traders, business leaders 1 338 5,2
Managers and higher intellectual professions 2 712 10,6
Middle-level occupations 6 751 26,5
Services employee 6 705 26,3
Blue-collar workers 7 573 29,7
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2008 2013 2019
Farmer operators 1,8 1,5 1,7
Handicrafters, traders, business leaders 4,5 5,2 5,2
Managers and higher intellectual professions 10,0 10,1 10,6
Middle-level occupations 23,2 26,0 26,5
Services employee 26,1 26,2 26,3
Blue-collar workers 34,3 31,0 29,7
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP G3 - Employment by socioprofessional activity

  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
2008 2013 2019
Number % Number % Number % including women in % including employees %
Altogether 28 370 100,0 26 733 100,0 25 518 100,0 44,1 91,4
Agriculture 782 2,8 667 2,5 695 2,7 22,3 38,0
Industry 8 326 29,3 6 869 25,7 6 703 26,3 19,2 97,2
Construction 2 397 8,4 2 501 9,4 2 012 7,9 11,4 87,2
Wholesale and retail trade/transports/accommodations and food service activities 9 566 33,7 8 782 32,8 8 857 34,7 45,7 88,3
Public administration/education/healthcare/social work 7 299 25,7 7 914 29,6 7 251 28,4 76,3 96,2
  • Sources: Insee, RP2008, RP2013 and RP2019, additional work place of work, geography as of 01/01/2022.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019
Employees Non-employees
Agriculture 20,7 23,3
Industry 18,9 31,1
Construction 12,5 4,2
Wholesale and retail trade, transports, accommodations and food service activities 45,9 43,7
Public administration, education, healthcare, social work 76,7 65,4
  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2019

  • Source: Insee, RP2019 additional operation at the workplace, geography as of 01/01/2022.

Characteristics of employment in the sense of the census in 2019

inter-communality metropolis of CA Caux Seine Agglo (200010700)

ACT T1 - Population aged 15 years or over having a job by status in 2019

ACT T1 - Population aged 15 years or over having a job by status in 2019
Number % of which% part-time of which% women
Altogether 31 426 100,0 17,2 46,2
Employees 28 779 91,6 17,6 46,7
Non-employees 2 647 8,4 12,9 40,4
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2019

ACT T2 - Status and employment conditions of 15 years or over by sex in 2019
Male % Female %
Altogether 16 922 100 14 504 100
Employees 15 346 90,7 13 433 92,6
 Tenured personnel and open-ended employment contracts 13 024 77,0 10 916 75,3
 Fixed-term employment contracts 875 5,2 1 677 11,6
 Temporary employment 787 4,7 268 1,9
 Assisted jobs 127 0,8 254 1,8
 Apprentice ship contract - Traineeship 532 3,1 317 2,2
Non-employees 1 577 9,3 1 070 7,4
 Independents 709 4,2 647 4,5
 Employers 848 5,0 385 2,7
 Caregivers 19 0,1 39 0,3
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2019
Male of which% part-time Female of which% part-time
Altogether 15 277 4,9 13 315 31,7
15 to 24 years old 1 659 18,5 1 149 36,6
25 to 54 years old 11 769 2,9 10 290 29,5
55 to 64 years old 1 849 5,1 1 876 40,6
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2008 2013 2019
Male 4,7 4,5 5,1
Female 36,2 36,3 32,0
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
2008 % 2013 % 2019 %
Altogether 31 114 100 31 007 100 31 426 100
working :
in their residential zone 7 900 25,4 7 507 24,2 6 740 21,4
in another zone 23 215 74,6 23 500 75,8 24 686 78,6
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

ACT G2 - Proportion of transports used to go to work in 2019

ACT G2 - Proportion of transports used to go to work in 2019
Percentage
None 4,0
Walking 3,9
Bicycle 0,5
Motorized two-wheeled vehicles 1,3
Car or truck 87,2
Public transports 3,1
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

ACT G2 - Proportion of transports used to go to work in 2019

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

Births and Deaths of people with usual residence in the area, 2014-2021

inter-communality metropolis of CA Caux Seine Agglo (200010700)

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

RFD G1 - Births and Deaths of people with usual residence in the area
2014 2015 2016 2017 2018 2019 2020 2021
Domiciled deaths 668 697 698 696 741 692 760 807
Domiciled births 958 900 884 916 881 836 786 866
  • Source: Insee, civil status statistics in geography as of 01/01/2022.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2022.

Household income and poverty in 2020

inter-communality metropolis of CA Caux Seine Agglo (200010700)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 32 077
Number of people in tax households 76 528
Median disposable income (per consumption unit in euros) 21 830
Share of actually taxed tax households (in %) 48,1
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G1 - Poverty rate by age range of the reference fiscal person in 2020

REV G1 - Poverty rate by age range of the reference fiscal person in 2020
Rate in %
Altogether 11,7
Less than 30 years old 17,6
30 to 39 years old 13,8
40 to 49 years old 13,4
50 to 59 years old 10,6
60 to 74 years old 7,5
75 and over 8,4
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G1 - Poverty rate by age range of the reference fiscal person in 2020

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020
Rate in %
Altogether 11,7
Homeowner 5,0
Tenant 26,4
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2020

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T2 - Disposable income components in 2020

REV T2 - Disposable income components in 2020
share in %
Altogether 100,0
Work income 72,7
including wages 66,3
including unemployment pensions 2,8
including self-employed income 3,6
Retirement pension or annuity 28,8
Capital income (real estate, financial, others) 5,8
Social benefits 6,5
including child benefit 2,6
including income support 2,8
including housing benefit 1,1
Tax –13,8
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 21 830
Inter-decile ratio 2,7
1st decile (in euros) 12 910
9th decile (in euros) 35 030
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

Wages and work income in 2020

inter-communality metropolis of CA Caux Seine Agglo (200010700)

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020
Altogether Female Male
Altogether 15,4 13,2 16,5
Managerial staff* 25,8 22,4 27,2
Middle-level occupations 17,6 15,3 19,0
Services employee 11,4 11,1 12,6
Blue-collar workers 13,7 11,3 14,0
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G1 - Average net hourly wage (in euros) by socioprofessional category in 2020

  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020
Difference (in %)
Altogether –19,7
Managerial staff* –17,6
Middle-level occupations –19,4
Services employee –11,8
Blue-collar workers –18,9
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020

  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity of the reference person's main position during the year.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL T1 - Average net hourly wage (in euros) by age in 2020

SAL T1 - Average net hourly wage (in euros) by age in 2020
Altogether Female Male
15 to 25 years old 10,9 10,3 11,2
26 to 50 years old 15,0 13,2 16,0
50 years old or over 18,1 14,7 19,7
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020
Gender pay gap (in%)
15 to 25 years old –8,2
26 to 50 years old –17,6
50 years old and over –25,2
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

SAL G4 - Average net hourly wage (in euros) difference between male and female by age in 2020

  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

Characteristics of establishments at the end of 2020

inter-communality metropolis of CA Caux Seine Agglo (200010700)

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2020

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2020
Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 1 802 100,0 124 1 311 173 119 75
Agriculture, forestry and fishing 143 7,9 15 127 1 0 0
Industrial economy 179 9,9 11 95 27 29 17
Building industry 216 12,0 12 149 28 17 10
Trade, transport, various services 974 54,1 81 747 77 48 21
including trade and car repair 288 16,0 17 221 28 17 5
Administration publique, enseignement, santé, action sociale 290 16,1 5 193 40 25 27
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2020

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2020
Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 or more employees
Altogether 22 493 100,0 4 248 2 340 3 518 2 905 9 482
Agriculture, forestry and fishing 271 1,2 257 14 0 0 0
Industrial economy 6 954 30,9 375 376 822 524 4 857
Building industry 2 335 10,4 535 384 469 403 544
Trade, transport, various services 7 007 31,2 2 325 1 005 1 427 939 1 311
including trade and car repair 2 078 9,2 788 366 479 262 183
Administration publique, enseignement, santé, action sociale 5 926 26,3 756 561 800 1 039 2 770
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020
%
General government, education, healthcare, social action* 16,1
Trade, transport, various services* 54,1
Building industry* 12,0
Industrial economy* 9,9
Agriculture, forestry and fishing* 7,9
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2 - Distribution of active employer establishments by size at the end of 2020

RES G2 - Distribution of active employer establishments by size at the end of 2020
%
50 or more employees 4,2
20 to 49 employees 6,6
10 to 19 employees 9,6
1 to 9 employee(s) 72,8
0 employee 6,9
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES G2 - Distribution of active employer establishments by size at the end of 2020

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2020
Establishments Salaried positions
Number % Number %
Altogether 1 802 100,0 22 493 100,0
Productive sphere* 583 32,4 10 169 45,2
of which public domain* 0 0,0 0 0,0
Presential sphere 1 219 67,6 12 324 54,8
of which public domain* 186 10,3 4 775 21,2
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

RES T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 5 033 100,0
Employers of childminders 2 575 51,2
Employers of other employees 2 458 48,8
  • Scope: private employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

Business and establishment set-ups in 2021

inter-communality metropolis of CA Caux Seine Agglo (200010700)

DEN T1 - Business set-ups by sector of activity in 2021

DEN T1 - Business set-ups by sector of activity in 2021
Company set-ups Of which sole proprietorships
Number % Number %
Altogether 539 100,0 422 78,3
Industry 49 9,1 43 87,8
Construction 54 10,0 36 66,7
Wholesale and retail trade/transports/accommodations and food service activities 155 28,8 115 74,2
Information/communication 17 3,2 13 76,5
Finance and insurance activities 18 3,3 6 33,3
Real estate activities 7 1,3 5 71,4
Professional/scientific/technical activites/administrative and support service activities 113 21,0 89 78,8
Public administration/education/healthcare/social work 47 8,7 41 87,2
Other service activities 79 14,7 74 93,7
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2022.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Altogether 294 299 276 298 296 264 310 416 432 539
Sole proprietorship 221 231 209 222 220 172 221 307 340 422
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

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

DEN T3 - Number of legal units by economic sector on the 31st of December 2020
Number %
Altogether 3 100 100,0
Industry 298 9,6
Construction 426 13,7
Wholesale and retail trade/transports/accommodations and food service activities 879 28,4
Information/communication 55 1,8
Finance and insurance activities 119 3,8
Real estate activities 124 4,0
Professional/scientific/technical activites/administrative and support service activities 411 13,3
Public administration/education/human health/social work 397 12,8
Other service activities 391 12,6
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T4 - Business set-ups by economic sectors in 2021

DEN T4 - Business set-ups by economic sectors in 2021
Altogether %
Altogether 598 100,0
Industry 58 9,7
Construction 54 9,0
Wholesale and retail trade/transports/accommodations and food service activities 180 30,1
Information/communication 16 2,7
Finance and insurance activities 21 3,5
Real estate activities 12 2,0
Professional/scientific/technical activites/administrative and support service activities 121 20,2
Public administration/education/healthcare/social work 52 8,7
Other service activities by the number of business creations including free lancers 84 14,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
Establishment set-ups 326 341 328 341 333 295 353 459 484 598
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN G3 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

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

DEN T5 - Number of legal units by economic sector on the 31st of December 2020
Number %
Altogether 3 612 100,0
Industry 375 10,4
Construction 448 12,4
Wholesale and retail trade/transports/accommodations and food service activities 1 062 29,4
Information/communication 64 1,8
Finance and insurance activities 165 4,6
Real estate activities 159 4,4
Professional/scientific/technical activites/administrative and support service activities 490 13,6
Public administration/education/human health/social work 447 12,4
Other service activities 402 11,1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

inter-communality metropolis of CA Caux Seine Agglo (200010700)

TOU T1 - Number and capacity of hotels on the 1st of January 2023

TOU T1 - Number and capacity of hotels on the 1st of January 2023
Hotels Rooms
Altogether 11 210
1 star 0 0
2 stars 2 41
3 stars 2 70
4 stars 0 0
5 stars 0 0
Non-ranked 7 99
  • Source: Insee, territorial partners in geography as of 01/01/2022.

TOU T2 - Number and capacity of campsites on the 1st of January 2023

TOU T2 - Number and capacity of campsites on the 1st of January 2023
Campsites Pitch
Altogether 4 169
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 1 69
5 stars 0 0
Non-ranked 3 100
  • Source: Insee, territorial partners in geography as of 01/01/2022.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2023
Accommodation Number of bed places (1)
Altogether 0 0
Tourist accommodations 0 0
Holiday villages or private homes 0 0
Youth hostels 0 0
  • (1) rooms, apartments, dormitories ...
  • Source: Insee, territorial partners in geography as of 01/01/2022.

Définitions

Declarative judgments of birth: Any birth occurring on French territory must be the subject of a declaration to the Civil register within three days of giving birth, giving rise to an act. If this declaration has not been made within this legal period, it is the subject of a declaration of birth giving rise to a transcription in the civil status registers.

Declarations of death: When death is insured but the body could not be found (plane crash, disappearance at sea ...), a declaratory judgment of death is drawn up which results in transcription on the civil status registers.

Tax household: Household made up of the grouping of tax households listed in the same dwelling. Its existence in a given year is due to the fact that at least an independent declaration of income coincides with the occupation of a dwelling known to the Housing Tax. Households made up of people who do not have their fiscal independence (mainly students) are counted in households where they declare their income even if they occupy independent accommodation.

Average hourly net salary: Result of the quotient of the mass of net wages compared to the number of salaried hours calculated on all the positions carried out by the employee during the year (excluding unemployment benefits). The number of paid hours takes into account paid overtime and all the periods during which the employee remains linked to an establishment due to the employment contract (leave, period of illness and accident at work), at the exception of periods of unpaid leave.

Market activity: The activity of a company is qualified as market if its operating expenses are normally covered for more than 50 % through the sale of its production. The activity of an establishment is market if this establishment contributes essentially to the production of a good or service considered to be market, either by nature or because its selling price exceeds 50 % of its production costs.

Public domain: An establishment belongs to this area if it is part of a legal category 7 enterprise (legal person or body subject to administrative law) or if more than half of its workforce is part of the State civil service.

The definitions of other concepts allowing a better understanding of the variables are accessible on insee.fr.

Champ

Population censuses

The data are offered to users in particular for comparing municipalities, grouping variable categories or obtaining results on personalized sets of municipalities.

Derived from calculations linked to sampling techniques, the data in terms of numbers are provided with several decimal places; these must be used for all calculations carried out, in order to avoid rounding errors.

For more information on the population census, consult the page of presentation of the population census.

The data come either from the main farm (princ.) or from the complementary farm (compl).

For more methodological information, you can consult the sheets "Tips on using census results".

These sheets present the characteristics of the population census and deal with their consequences on the use of the data. They specify in particular the changes affecting the main statistical variables and their comparability with previous censuses.

Civil register

Annual statistics concerning domiciled births are drawn up from the statistical bulletins of civil status, drawn up by the mayors, at the time and in the municipality where the births take place. They relate to births having taken place in all the municipalities of France. Births that took place abroad or in the overseas communities (COM) are not counted.

The "commune" variable corresponds to the commune of the mother's domicile in France.

The statistics include declarative judgments of birth, but do not take into account stillbirths.

Annual statistics concerning domiciled deaths are drawn up from civil status statistics bulletins drawn up by the mayors, at the time and in the municipality where the deaths took place. They relate to deaths that have occurred in all municipalities in France. Deaths having occurred abroad or in overseas communities (COM) are not counted.

The "commune" variable corresponds to the commune of the deceased's domicile in France.

The statistics include declarative judgments of deaths.

Localised disposable income system (FiLoSoFi)

The scope covered is that of all ordinary tax households: it excludes people who are homeless or living in institutions (prison, home, retirement home, etc.).

The share of taxed households is calculated on the basis of households whose declared income is positive or zero.

Other indicators are calculated on the basis of households with positive or zero disposable income.

Municipalities without inhabitant or without inhabitant subject to the housing tax are not in the list of municipalities.

All employees databases

The statistics are compiled from information collected on private sector companies and public companies located in France.

Statistics on socio-professional categories relate to the main position occupied by the employee during the year, excluding agriculture and undefined socio-professional category.

People whose age is not indicated and minors are also excluded from the statistical field.

Register of enterprises and establishments (REE)

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

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

The number of companies or legal units in year N corresponds to the number of companies or legal units active on December 31, N-1.

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

Pay and salaried employment localized file (Flores)

The Flores system (Pay and salaried employment localized file) covers establishments that have employed at least one employee during the year, in France excluding Mayotte. In this municipal database, the data made available is also restricted to establishments active at the end of the year (last week of December), which excludes establishments which ceased their activity during the year.

The salaried workforce at the end of the year corresponds to the number of positions present in the last week of December in the employing establishment. The workforce at the end of the year in some establishments may therefore be zero, if the employee (s) during the year were no longer employed at the end of December.

Flores covers all salaried employment, regardless of the sector of activity and the type of employer (public or private, including individual employers). Establishments under the Ministry of the Armed Forces (military personnel as well as civilians) are excluded from the scope.

The Flores device succeeds Clap, whose last vintage described the year 2015. The results from Flores and Clap are not comparable, and therefore should not be the subject of evolving comparative analyzes.

Specifically:

-Clap covered all active establishments, employers and non-employers. The number of establishments with zero staff at the end of the year was therefore much higher in Clap, because of this difference in field.

- Conversely, Clap only counted so-called non-ancillary jobs, that is to say those exceeding a certain threshold of remuneration and / or duration. This restriction has been removed in Flores, which counts all workstations.

Hotel occupancy survey

The scope covers tourist hotels, classified or not, with more than 5 bedrooms and campsites with more than 10 pitches, classified or not, including residential campsites. It also covers other collective tourist accommodation.

Statistics on the accommodation offer are established in conjunction with the regional tourism committees (CRT) and the general management of enterprises (DGE). They are offered at municipal level for France (excluding Mayotte).

The statistics concerning the outdoor hotel business relate to the campsites offering sites for transient customers intended for tourists who do not choose to live there as well. only on campsites offering pitches rented year-round, that is to say to a single customer for the entire period when the campsite is open.

Classified hotels and campsites are classified according to the new classification nomenclature implemented by the operator Atout France. The distribution by star is not available for the 2013 vintage for hotels, because the classification being paid, the distribution by star was not significant.

The information on other collective accommodation in the overseas departments is of lower quality. Since 2018, the field concerning other collective accommodation in the overseas departments has been deleted. The workforce from other collective accommodation has been transferred to hotels.

Géographie

Population censuses 2008, 2013, 2019: dissemination in the municipalities of France outside Mayotte in geography on 01/01/2022;

Vital statistics: distribution to all municipalities in France in geography as of 01/01/2022;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2022;

All employees databases, file of employees at the place of residence: dissemination in the municipalities of France excluding Mayotte with more than 2,000 inhabitants, respecting specific thresholds, in geography as of 01/01/2022;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2022;

Directory of businesses and establishments (Sirene) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2022;

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2022

Release threshold for the population census

The population census makes it possible to know the diversity and evolution of the population of France. Insee thus provides statistics on inhabitants and dwellings, their number and their characteristics: distribution by sex and age, occupations, housing conditions, modes of transport, commuting, etc.

Data from additional census holdings are not disseminated for areas less than 2 000 inhabitants. In addition, numbers below 200 should be handled with care, as it cannot be significant.

Particularity of Civil register data

The data, for the municipalities of Paris (75056), Lyon (69123) and Marseille (13055), are presented for the entire municipality and for each municipal district.

For these municipalities, the municipal district of the domicile is not systematically informed about the statistical bulletin. Births are therefore only counted in the database at the level of the municipality and not of the municipal district. The sum of births in the arrondissements of Lyon (Marseille and Paris respectively) is therefore not always equal to the number of births in the municipality of Lyon (Marseille and Paris respectively).

Dissemination threshold and statistical confidentiality of the Localized Social and Fiscal File (FiLoSoFi)

Data from FiLoSoFi are subject to statistical confidentiality. No statistics are disseminated on very small areas (less than 50 households and less than 100 people).

Three indicators (median standard of living, counts in number of households and number of people) are proposed for areas with more than 50 households or more than 100 people.

In the largest areas (more than 1,000 households or more than 2 000 people), all indicators are generally offered. They are also disseminated on the sub-populations associated with a socio-demographic criterion (for example under 30 years) having a minimum number of at least 200 people and at least 11 households.

Poverty rates are disseminated for areas with more than 1,000 households or more than 2 000 ppeople in which there are at least 200 people and 11 poor households, as well as at least 200 people and 11 households above the poverty line.

They are distributed to sub-populations associated with a socio-demographic criterion (for example under 30s) with a minimum workforce of at least 200 people. and at least 11 poor households and at least 200 people and at least 11 households above the poverty line.

When the rates are in the ranges [0; 5] and [95; 100], the exact value is not displayed, it is replaced by the values ​​5 % and 95 % respectively.

The components of disposable income are disseminated over areas over 1 000 households or more than 2 000 people, provided that for each of the income components there are at least 11 households for which the component is non-zero.

Statistical confidentiality of the Bases All employees

Data from the All Employees Bases are subject to statistical confidentiality. No statistics are released for areas less than 2 000 inhabitants. Moreover, each box in the table must contain at least 5 employees and no employee must represent more than 80 % of the box payroll. These constraints lead to excluding from the dissemination the results of certain areas of more than 2 000 inhabitants.

Warning on the nature of municipal data and their use for the localized file of remunerations and salaried employment (Flores)

INSEE makes localized data from Flores available to the municipal level. However, at this geographic scale, the results of this data warehouse have not been validated by experts. Each user is therefore called upon to exercise good judgment concerning the plausibility and relevance of the results, in particular in limited geographic or sectoral fields. As far as possible, the analyzes should focus on areas "of sufficient size" (several thousand salaried positions), in order to limit errors that could be due to occasional erroneous declarations by certain establishments.

Status of municipal data from Flores differs in particular from that of Employment Estimates, which are subject to full validation by experts and which are disseminated at a more aggregate level (department and employment area at the finest). In other words, the municipal data, in return for their finesse, do not benefit from the same validation and adjustment framework.