données locales

Paru le : 21/02/2023

Full set of local data Employment area 2020 of Le Havre (2813)

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

Growth and structure of the population in 2019

Employment area 2020 of Le Havre (2813)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 330 444 100,0 327 011 100,0 322 640 100,0
0 to 14 years old 63 188 19,1 62 075 19,0 59 553 18,5
15 to 29 years old 64 923 19,6 61 596 18,8 56 931 17,6
30 to 44 years old 63 483 19,2 60 056 18,4 57 602 17,9
45 to 59 years old 68 391 20,7 65 437 20,0 63 014 19,5
60 to 74 years old 43 195 13,1 48 851 14,9 55 179 17,1
75 and over 27 265 8,3 28 996 8,9 30 361 9,4
  • 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 19,1 19,0 18,5
15 to 29 years old 19,6 18,8 17,6
30 to 44 years old 19,2 18,4 17,9
45 to 59 years old 20,7 20,0 19,5
60 to 74 years old 13,1 14,9 17,1
75 and over 8,3 8,9 9,4
  • 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 318 297 337 042 335 370 340 023 338 659 330 444 327 011 322 640
Average density (inhab / km²) 363,3 384,7 382,8 388,1 386,6 377,2 373,3 368,3
  • (*) 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 % 0,8 –0,1 0,2 –0,0 –0,3 –0,2 –0,2
due to the natural balance in % 0,9 0,7 0,7 0,5 0,4 0,4 0,2
due to the apparent balance of inflows and outflows in % –0,1 –0,8 –0,5 –0,5 –0,7 –0,6 –0,5
Natality rate (‰) 18,9 16,7 16,3 13,8 13,3 13,2 12,0
Mortality rate (‰) 10,1 9,8 9,7 9,0 8,9 9,2 9,7
  • 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 154 623 100,0 168 017 100,0
0 to 14 years old 30 843 19,9 28 710 17,1
15 to 29 years old 28 744 18,6 28 187 16,8
30 to 44 years old 28 175 18,2 29 427 17,5
45 to 59 years old 30 555 19,8 32 459 19,3
60 to 74 years old 25 507 16,5 29 671 17,7
75 to 89 years old 9 954 6,4 16 623 9,9
90 years and over 845 0,5 2 939 1,7
0 to 19 years old 41 736 27,0 38 826 23,1
20 to 64 years old 86 150 55,7 91 007 54,2
65 and over 26 737 17,3 38 183 22,7
  • 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: 322 850 100,0 318 860 100,0
In the same house 287 241 89,0 283 897 89,0
In another house in the same town 19 228 6,0 17 523 5,5
In another town 16 380 5,1 17 440 5,5
  • 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 52,1 47,9
15 to 24 years old 44,5 55,5
25 to 54 years old 51,2 48,8
55 years old and over 53,2 46,8
  • 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 %

  • 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 267 328 100,0 265 185 100,0 263 145 100,0
Farmer operators 1 062 0,4 850 0,3 839 0,3
Craftsmen, traders, business leaders 6 044 2,3 6 114 2,3 6 080 2,3
Managers and higher intellectual professions 15 124 5,7 16 256 6,1 16 654 6,3
Middle-level occupations 35 570 13,3 36 793 13,9 36 442 13,8
Services employee 46 739 17,5 45 736 17,2 44 085 16,8
Blue-collar workers 41 356 15,5 39 674 15,0 36 024 13,7
Retirees 69 781 26,1 72 315 27,3 75 133 28,6
Other people with no professional activity 51 651 19,3 47 449 17,9 47 887 18,2
  • 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 124 127 139 018 100,0 100,0 100,0
Farmer operators 654 186 0,1 0,5 0,2
Craftsmen, traders, business leaders 4 095 1 985 0,6 3,8 1,3
Managers and higher intellectual professions 10 030 6 624 1,3 10,9 3,2
Middle-level occupations 16 921 19 522 7,1 24,0 5,1
Services employee 9 360 34 725 14,4 26,7 6,7
Blue-collar workers 30 369 5 655 13,2 22,4 4,3
Retirees 33 982 41 151 0,0 0,2 70,0
Other people without professional activity 18 716 29 171 63,4 11,5 9,2
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Employment area 2020 of Le Havre (2813)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 141 501 100,0 143 249 100,0 146 279 100,0 324 669 320 855 316 716
One-person households (male and female) 47 754 33,7 50 189 35,0 55 210 37,7 47 754 50 189 55 210
 Single Male 18 651 13,2 19 739 13,8 23 213 15,9 18 651 19 739 23 213
 Single Female 29 103 20,6 30 450 21,3 31 997 21,9 29 103 30 450 31 997
Other households without families 2 580 1,8 2 768 1,9 1 836 1,3 6 197 6 752 4 366
Family households: 91 167 64,4 90 293 63,0 89 234 61,0 270 718 263 914 257 141
 Couple with no children 37 774 26,7 38 072 26,6 38 280 26,2 76 931 77 377 77 443
 Couple with children 40 174 28,4 38 155 26,6 35 591 24,3 157 840 148 951 138 661
 Single parent 13 219 9,3 14 066 9,8 15 363 10,5 35 947 37 586 41 037
  • 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 3,11 2,94 2,76 2,65 2,48 2,29 2,24 2,16
  • (*) 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 3,7 5,2 5,7
20 to 24 years old 16,3 18,3 20,4
25 to 39 years old 14,0 14,1 15,7
40 to 54 years old 13,0 13,7 15,6
55 to 64 years old 17,8 20,5 23,9
65 to 79 years old 30,7 29,0 29,2
80 and over 56,0 55,5 54,8
  • 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 2,5 2,1 1,7
20 to 24 years old 29,3 27,0 23,9
25 to 39 years old 69,4 68,1 65,6
40 to 54 years old 74,4 72,4 70,4
55 to 64 years old 76,2 72,7 69,8
65 to 79 years old 63,6 66,2 67,3
80 and over 34,3 34,7 36,5
  • 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 42,7
Civil partnership 4,8
In cohabitation 10,8
Widowed 8,4
Divorced 6,4
Single 26,9
  • 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 146 279 100,0 316 716 100,0
Farmer operators 601 0,4 1 771 0,6
Craftsmen, traders, business leaders 4 330 3,0 11 525 3,6
Managers and higher intellectual professions 11 450 7,8 29 676 9,4
Middle-level occupations 22 596 15,4 57 033 18,0
Services employee 25 300 17,3 61 137 19,3
Blue-collar workers 24 984 17,1 65 885 20,8
Retirees 46 155 31,6 71 054 22,4
Other people with no professional activity 10 864 7,4 18 636 5,9
  • 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 0,4
Handicrafters, traders, business leaders 3,0
Managers and higher intellectual professions 7,8
Middle-level occupations 15,4
Services employee 17,3
Blue-collar workers 17,1
Retirees 31,6
Unemployed persons 7,4
  • 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 91 625 100,0 90 729 100,0 89 559 100,0
Couple with children 40 251 43,9 38 219 42,1 35 626 39,8
Single parent 13 498 14,7 14 327 15,8 15 550 17,4
Male single parent 1 891 2,1 2 145 2,4 2 525 2,8
Female single parent 11 607 12,7 12 181 13,4 13 025 14,5
Couple with no children 37 876 41,3 38 184 42,1 38 383 42,9
  • 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 91 625 100,0 90 729 100,0 89 559 100,0
No children 42 299 46,2 42 820 47,2 43 187 48,2
1 child 20 572 22,5 20 205 22,3 19 374 21,6
2 children 18 754 20,5 18 720 20,6 18 213 20,3
3 children 7 427 8,1 6 787 7,5 6 596 7,4
4 children and over 2 573 2,8 2 196 2,4 2 187 2,4
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Employment area 2020 of Le Havre (2813)

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 108 595 122 617 132 385 141 086 147 014 155 112 160 530 167 464
Main residences 100 148 111 654 118 810 125 808 133 937 141 533 143 243 146 278
Second homes 3 395 4 474 4 971 5 575 5 110 5 372 5 326 6 762
Vacant dwellings 5 052 6 489 8 604 9 703 7 967 8 207 11 962 14 424
  • (*) 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 155 112 100,0 160 530 100,0 167 464 100,0
Main residences 141 533 91,2 143 243 89,2 146 278 87,3
Second homes 5 372 3,5 5 326 3,3 6 762 4,0
Vacant dwellings 8 207 5,3 11 962 7,5 14 424 8,6
Houses 74 687 48,2 76 837 47,9 80 045 47,8
Flats 78 794 50,8 82 051 51,1 86 186 51,5
  • 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 141 533 100,0 143 243 100,0 146 278 100,0
1 room 7 149 5,1 6 352 4,4 6 539 4,5
2 rooms 18 245 12,9 17 918 12,5 18 614 12,7
3 rooms 34 587 24,4 34 953 24,4 35 931 24,6
4 rooms 39 197 27,7 39 206 27,4 39 824 27,2
5 rooms and over 42 354 29,9 44 813 31,3 45 371 31,0
  • 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 3,9 3,9 3,9
Houses 4,7 4,7 4,7
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 3,2
Non-over-occupied 96,8
  • 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 144 075 100,0
before 1919 15 876 11,0
from 1919 to 1945 13 184 9,2
from 1946 to 1970 47 391 32,9
from 1971 to 1990 40 427 28,1
from 1991 to 2005 15 875 11,0
from 2006 to 2015 11 322 7,9
  • 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 12 633 3 220
from 1919 to 1945 8 282 4 848
from 1946 to 1970 15 029 32 236
from 1971 to 1990 19 974 20 048
from 1991 to 2005 8 932 6 807
from 2006 to 2015 5 942 5 302
  • 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 146 278 100,0 316 569 3,9 1,8
Less than 2 years 18 729 12,8 37 581 3,2 1,6
From 2 to 4 years 29 502 20,2 66 695 3,5 1,5
From 5 to 9 years 25 093 17,2 61 983 3,8 1,5
10 years and over 72 954 49,9 150 310 4,3 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 12,8
From 2 to 4 years 20,2
From 5 to 9 years 17,2
From 10 to 19 years 20,4
From 20 to 29 years 11,7
30 years and over 17,8
  • 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 141 533 100,0 143 243 100,0 146 278 100,0 316 569 14,9
Homeowner 72 566 51,3 73 540 51,3 75 456 51,6 174 444 19,8
Tenant 66 948 47,3 67 688 47,3 69 120 47,3 138 702 9,7
(including social sector housing) 35 409 25,0 36 224 25,3 36 243 24,8 80 482 12,7
Housed for free 2 019 1,4 2 015 1,4 1 702 1,2 3 422 10,7
  • 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 141 533 100,0 143 243 100,0 146 278 100,0
Bathroom including a shower or a bath 136 714 96,6 138 195 96,5 141 175 96,5
Collective central heating 39 569 28,0 39 209 27,4 38 995 26,7
Individual central heating 62 099 43,9 59 806 41,8 61 875 42,3
Individual electric heating 32 095 22,7 35 228 24,6 36 466 24,9
  • 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 141 533 100,0 143 243 100,0 146 278 100,0
At least one parking spot 76 486 54,0 79 513 55,5 82 702 56,5
At least one car 108 777 76,9 111 415 77,8 113 414 77,5
1 car 67 818 47,9 67 592 47,2 68 408 46,8
2 cars and over 40 960 28,9 43 823 30,6 45 006 30,8
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Employment area 2020 of Le Havre (2813)

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 15 679 11 203 71,5 70,6 72,4
6 to 10 years old 20 440 19 797 96,9 96,9 96,8
11 to 14 years old 16 219 15 875 97,9 98,0 97,8
15 to 17 years old 12 864 12 296 95,6 95,0 96,2
18 to 24 years old 25 847 12 313 47,6 44,3 51,1
25 to 29 years old 18 220 1 159 6,4 7,0 5,7
30 years old and over 206 156 1 805 0,9 0,8 0,9
  • 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 73,8 72,3 71,5
6 to 10 years old 98,4 98,0 96,9
11 to 14 years old 98,7 98,6 97,9
15 to 17 years old 96,0 96,3 95,6
18 to 24 years old 46,1 47,5 47,6
25 to 29 years old 6,3 6,3 6,4
30 years old and over 0,8 0,8 0,9
  • 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 235 513 110 163 125 350
Proportion of graduates in percentage
No diploma or primary education certificate 24,9 21,6 27,8
BEPC brevet des collèges or DNB 5,0 4,3 5,6
CAP, BEP or equivalent 30,2 35,0 26,0
Baccalauréat, brevet professionnel or equivalent 16,1 16,3 16,0
2 years at university 10,1 9,4 10,6
3 to 4 years at university 7,2 6,0 8,3
5 years and over at university 6,6 7,5 5,7
  • 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 33,4 24,9
BEPC brevet des collèges or DNB 5,7 5,0
CAP, BEP or equivalent 29,0 30,2
Baccalauréat, brevet professionnel or equivalent 14,0 16,1
2 years and over at university 17,9 23,8
  • 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

Employment area 2020 of Le Havre (2813)

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 214 404 208 056 198 166
Labor force in % 68,8 70,8 71,8
 including people in work in % 59,6 59,3 59,8
 including unemployed workers in % 9,1 11,5 12,0
Economically inactive people in % 31,2 29,2 28,2
 including pupils, students or interns in % 10,8 10,3 10,5
 including retirees in % 9,5 9,2 7,8
 including other economically inactive people in % 10,9 9,7 9,8
  • 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 198 166 142 230 71,8 118 538 59,8
 15 to 24 years old 38 711 16 317 42,2 10 777 27,8
 25 to 54 years old 117 704 105 144 89,3 89 759 76,3
 55 to 64 years old 41 752 20 769 49,7 18 003 43,1
Male 97 043 72 421 74,6 60 800 62,7
 15 to 24 years old 19 890 8 910 44,8 5 882 29,6
 25 to 54 years old 57 477 53 495 93,1 46 143 80,3
 55 to 64 years old 19 676 10 016 50,9 8 775 44,6
Female 101 123 69 809 69,0 57 739 57,1
 15 to 24 years old 18 820 7 406 39,4 4 895 26,0
 25 to 54 years old 60 227 51 649 85,8 43 615 72,4
 55 to 64 years old 22 076 10 753 48,7 9 228 41,8
  • 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 59,8
Unemployed workers 12,0
Retirees 7,8
Pupils, students or interns 10,5
Other economically inactive people 9,8
  • 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 147 315 127 734 147 398 123 349 141 920 118 181
including
 Farmer operators 1 010 989 817 808 801 793
 Handicrafters, traders and business leaders 5 895 5 487 5 942 5 419 5 842 5 420
 Managers and higher intellectual professions 15 000 14 565 16 030 15 379 16 279 15 691
 Middle-level occupations 35 463 33 175 36 634 33 424 36 242 33 213
 Services employee 46 499 39 213 45 461 37 094 43 690 35 065
 Blue-collar workers 41 166 34 305 39 396 31 225 35 759 28 000
  • 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 19 616 23 935 23 692
Unemployment rate in % 13,3 16,2 16,7
Unemployment of the 15-24 aged 27,9 34,9 34,0
Unemployment of the 25-54 aged 11,2 13,8 14,6
Unemployment of the 55-64 aged 8,5 12,0 13,3
  • 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 30,6
BEPC brevet des collèges or DNB 23,8
CAP, BEP or equivalent 19,2
Baccalauréat, brevet professionnel or equivalent 16,2
2 years at university 9,0
3 to 4 years at university 9,3
5 years and over at university 7,9
  • 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 135 786 132 344 127 629
People in work living in the area 128 672 124 577 119 946
Employment concentration indicator 105,5 106,2 106,4
Activity rate of 15 years old and over in % 55,5 56,1 54,6
  • 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 135 786 100,0 132 344 100,0 127 629 100,0
Employee 125 392 92,3 121 290 91,6 116 544 91,3
 including women 58 742 43,3 58 746 44,4 57 263 44,9
 including part-time workers 23 543 17,3 22 836 17,3 21 044 16,5
Non-employee 10 394 7,7 11 054 8,4 11 085 8,7
 including women 3 518 2,6 4 124 3,1 4 335 3,4
 including part-time workers 1 037 0,8 1 392 1,1 1 462 1,1
  • 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 127 324 100,0
Farmer operators 899 0,7
Handicrafters, traders, business leaders 5 933 4,7
Managers and higher intellectual professions 16 860 13,2
Middle-level occupations 35 339 27,8
Services employee 37 260 29,3
Blue-collar workers 31 032 24,4
  • 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 0,8 0,6 0,7
Handicrafters, traders, business leaders 4,3 4,4 4,7
Managers and higher intellectual professions 11,4 12,4 13,2
Middle-level occupations 26,1 27,2 27,8
Services employee 30,0 29,5 29,3
Blue-collar workers 27,5 25,9 24,4
  • 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 135 117 100,0 132 323 100,0 127 324 100,0 48,2 92,1
Agriculture 1 657 1,2 1 493 1,1 1 468 1,2 24,1 42,1
Industry 23 783 17,6 20 666 15,6 18 226 14,3 22,0 96,5
Construction 9 230 6,8 8 691 6,6 7 645 6,0 10,1 87,1
Wholesale and retail trade/transports/accommodations and food service activities 59 579 44,1 59 255 44,8 58 454 45,9 45,5 90,6
Public administration/education/healthcare/social work 40 869 30,2 42 218 31,9 41 532 32,6 71,4 95,0
  • 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 25,2 23,3
Industry 22,0 22,6
Construction 11,0 4,4
Wholesale and retail trade, transports, accommodations and food service activities 46,4 37,0
Public administration, education, healthcare, social work 72,0 60,0
  • 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

Employment area 2020 of Le Havre (2813)

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 119 917 100,0 18,1 48,7
Employees 109 343 91,2 18,6 49,5
Non-employees 10 574 8,8 13,5 39,8
  • 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 61 573 100 58 345 100
Employees 55 205 89,7 54 138 92,8
 Tenured personnel and open-ended employment contracts 46 534 75,6 45 217 77,5
 Fixed-term employment contracts 3 997 6,5 6 241 10,7
 Temporary employment 2 357 3,8 655 1,1
 Assisted jobs 514 0,8 801 1,4
 Apprentice ship contract - Traineeship 1 802 2,9 1 225 2,1
Non-employees 6 368 10,3 4 206 7,2
 Independents 2 763 4,5 2 622 4,5
 Employers 3 545 5,8 1 470 2,5
 Caregivers 60 0,1 114 0,2
  • 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 54 729 6,5 53 686 30,2
15 to 24 years old 5 684 20,6 4 738 39,9
25 to 54 years old 41 676 4,6 40 464 28,1
55 to 64 years old 7 369 6,3 8 483 34,9
  • 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 6,2 6,5 7,0
Female 34,0 32,7 30,4
  • 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 128 603 100 124 516 100 119 917 100
working :
in their residential zone 63 484 49,4 60 195 48,3 55 316 46,1
in another zone 65 119 50,6 64 321 51,7 64 601 53,9
  • 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 3,5
Walking 7,0
Bicycle 1,7
Motorized two-wheeled vehicles 1,5
Car or truck 75,9
Public transports 10,4
  • 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

Employment area 2020 of Le Havre (2813)

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 3 036 3 204 3 211 3 189 3 198 3 233 3 585 3 492
Domiciled births 3 957 4 020 3 848 3 669 3 659 3 717 3 584 3 555
  • 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

Employment area 2020 of Le Havre (2813)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 142 474
Number of people in tax households 315 046
Median disposable income (per consumption unit in euros) 21 660
Share of actually taxed tax households (in %) 48,8
  • 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 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 15,3
Less than 30 years old 27,7
30 to 39 years old 19,5
40 to 49 years old 17,0
50 to 59 years old 14,1
60 to 74 years old 9,7
75 and over 8,0
  • 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 15,3
Homeowner 5,0
Tenant 29,8
  • 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 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 69,8
including wages 62,3
including unemployment pensions 3,1
including self-employed income 4,4
Retirement pension or annuity 30,5
Capital income (real estate, financial, others) 6,7
Social benefits 7,9
including child benefit 2,5
including income support 3,8
including housing benefit 1,6
Tax –14,9
  • 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) 21 660
Inter-decile ratio 3,1
1st decile (in euros) 11 770
9th decile (in euros) 36 510
  • 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

Employment area 2020 of Le Havre (2813)

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 15,7 13,5 17,1
Managerial staff* 26,8 22,7 28,8
Middle-level occupations 16,9 15,0 18,3
Services employee 11,5 11,2 12,3
Blue-collar workers 13,6 10,6 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 –21,0
Managerial staff* –21,0
Middle-level occupations –18,2
Services employee –8,9
Blue-collar workers –24,7
  • * 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 11,0 10,4 11,5
26 to 50 years old 15,5 13,6 16,7
50 years old or over 18,2 14,7 20,5
  • 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 –9,6
26 to 50 years old –18,7
50 years old and over –28,1
  • 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

Employment area 2020 of Le Havre (2813)

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 8 753 100,0 707 6 136 881 622 407
Agriculture, forestry and fishing 353 4,0 57 287 7 2 0
Industrial economy 600 6,9 36 339 92 77 56
Building industry 696 8,0 52 486 76 53 29
Trade, transport, various services 5 815 66,4 529 4 251 540 327 168
including trade and car repair 1 662 19,0 128 1 258 165 78 33
Administration publique, enseignement, santé, action sociale 1 289 14,7 33 773 166 163 154
  • 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 118 582 100,0 19 471 11 643 19 163 16 743 51 562
Agriculture, forestry and fishing 711 0,6 576 88 47 0 0
Industrial economy 18 693 15,8 1 385 1 266 2 344 1 925 11 773
Building industry 7 260 6,1 1 748 1 012 1 655 1 230 1 615
Trade, transport, various services 53 305 45,0 13 216 7 031 9 971 6 923 16 164
including trade and car repair 13 174 11,1 4 578 2 138 2 328 1 593 2 537
Administration publique, enseignement, santé, action sociale 38 613 32,6 2 546 2 246 5 146 6 665 22 010
  • 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* 14,7
Trade, transport, various services* 66,4
Building industry* 8,0
Industrial economy* 6,9
Agriculture, forestry and fishing* 4,0
  • 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 4,6
20 to 49 employees 7,1
10 to 19 employees 10,1
1 to 9 employee(s) 70,1
0 employee 8,1
  • 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 8 753 100,0 118 582 100,0
Productive sphere* 2 735 31,2 46 173 38,9
of which public domain* 2 0,0 21 0,0
Presential sphere 6 018 68,8 72 409 61,1
of which public domain* 567 6,5 26 894 22,7
  • 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 T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2020

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2020
Establishments Salaried positions
Number % Number %
Altogether 8 753 100,0 118 582 100,0
Agriculture, forestry and fishing 353 4,0 711 0,6
Manufacture of food, drink and tobacco products 216 2,5 2 213 1,9
Coking and refining 3 0,0 1 895 1,6
Manufacture of electrical, electronic and computer equipment; machinery manufacturing 22 0,3 1 902 1,6
Manufacture of transport equipment 8 0,1 3 779 3,2
Manufacture of other industrial products 266 3,0 6 692 5,6
Extractive industries, energy, water, waste management and pollution control 85 1,0 2 212 1,9
Building industry 696 8,0 7 260 6,1
Trade ; repair of automobiles and motorcycles 1 662 19,0 13 174 11,1
Transportation and warehousing 551 6,3 15 726 13,3
Accommodation and catering 829 9,5 3 600 3,0
Information and communication 105 1,2 793 0,7
Financial and insurance activities 409 4,7 3 019 2,5
Real estate activities 198 2,3 1 359 1,1
Scientific and technical activities; administrative and support services 1 229 14,0 11 887 10,0
General government, education, human healthcare and social action 1 289 14,7 38 613 32,6
Other service activities 832 9,5 3 747 3,2
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, FLORES 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 16 708 100,0
Employers of childminders 6 577 39,4
Employers of other employees 10 131 60,6
  • 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

Employment area 2020 of Le Havre (2813)

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 3 309 100,0 2 546 76,9
Industry 189 5,7 155 82,0
Construction 249 7,5 174 69,9
Wholesale and retail trade/transports/accommodations and food service activities 1 379 41,7 1 108 80,3
Information/communication 103 3,1 78 75,7
Finance and insurance activities 86 2,6 15 17,4
Real estate activities 81 2,4 19 23,5
Professional/scientific/technical activites/administrative and support service activities 576 17,4 412 71,5
Public administration/education/healthcare/social work 279 8,4 244 87,5
Other service activities 367 11,1 341 92,9
  • 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 1 505 1 498 1 589 1 465 1 454 1 510 2 009 2 519 2 767 3 309
Sole proprietorship 1 097 1 083 1 105 1 015 981 1 012 1 533 1 997 2 171 2 546
  • 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 16 376 100,0
Industry 1 060 6,5
Construction 1 614 9,9
Wholesale and retail trade/transports/accommodations and food service activities 5 042 30,8
Information/communication 402 2,5
Finance and insurance activities 673 4,1
Real estate activities 725 4,4
Professional/scientific/technical activites/administrative and support service activities 2 525 15,4
Public administration/education/human health/social work 2 668 16,3
Other service activities 1 667 10,2
  • 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 3 690 100,0
Industry 219 5,9
Construction 276 7,5
Wholesale and retail trade/transports/accommodations and food service activities 1 550 42,0
Information/communication 113 3,1
Finance and insurance activities 99 2,7
Real estate activities 97 2,6
Professional/scientific/technical activites/administrative and support service activities 640 17,3
Public administration/education/healthcare/social work 312 8,5
Other service activities by the number of business creations including free lancers 384 10,4
  • 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 1 782 1 771 1 848 1 735 1 723 1 762 2 299 2 821 3 122 3 690
  • 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 19 414 100,0
Industry 1 337 6,9
Construction 1 766 9,1
Wholesale and retail trade/transports/accommodations and food service activities 6 459 33,3
Information/communication 462 2,4
Finance and insurance activities 895 4,6
Real estate activities 875 4,5
Professional/scientific/technical activites/administrative and support service activities 2 976 15,3
Public administration/education/human health/social work 2 870 14,8
Other service activities 1 774 9,1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

Employment area 2020 of Le Havre (2813)

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 67 2 614
1 star 8 213
2 stars 17 548
3 stars 15 780
4 stars 8 500
5 stars 0 0
Non-ranked 19 573
  • 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 19 1 759
1 star 1 38
2 stars 5 440
3 stars 8 919
4 stars 1 137
5 stars 0 0
Non-ranked 4 225
  • 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 7 1 281
Tourist accommodations 5 868
Holiday villages or private homes 0 0
Youth hostels 2 413
  • (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.