données locales

Paru le : 21/02/2023

Full set of local data Municipality of Verdun (55545)

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

Growth and structure of the population in 2019

Municipality of Verdun (55545)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 19 252 100,0 17 923 100,0 16 942 100,0
0 to 14 years old 3 395 17,6 2 691 15,0 2 488 14,7
15 to 29 years old 4 283 22,2 3 857 21,5 3 435 20,3
30 to 44 years old 3 495 18,2 2 903 16,2 2 834 16,7
45 to 59 years old 3 715 19,3 3 576 19,9 3 156 18,6
60 to 74 years old 2 523 13,1 2 804 15,6 3 019 17,8
75 and over 1 840 9,6 2 092 11,7 2 010 11,9
  • 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 17,6 15,0 14,7
15 to 29 years old 22,2 21,5 20,3
30 to 44 years old 18,2 16,2 16,7
45 to 59 years old 19,3 19,9 18,6
60 to 74 years old 13,1 15,6 17,8
75 and over 9,6 11,7 11,9
  • 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 22 013 23 621 21 516 20 753 19 624 19 252 17 923 16 942
Average density (inhab / km²) 709,4 761,2 693,4 668,8 632,4 620,4 577,6 546,0
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • 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 % 1,0 –1,3 –0,5 –0,6 –0,2 –1,4 –0,9
due to the natural balance in % 1,5 0,9 0,9 0,6 0,4 0,1 –0,1
due to the apparent balance of inflows and outflows in % –0,4 –2,2 –1,3 –1,2 –0,6 –1,5 –0,8
Natality rate (‰) 24,0 19,2 18,6 16,1 14,2 12,4 11,0
Mortality rate (‰) 9,5 10,0 9,8 10,5 10,4 11,3 11,9
  • 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 7 936 100,0 9 006 100,0
0 to 14 years old 1 259 15,9 1 229 13,6
15 to 29 years old 1 705 21,5 1 730 19,2
30 to 44 years old 1 443 18,2 1 391 15,4
45 to 59 years old 1 530 19,3 1 626 18,1
60 to 74 years old 1 334 16,8 1 686 18,7
75 to 89 years old 610 7,7 1 134 12,6
90 years and over 56 0,7 210 2,3
0 to 19 years old 1 834 23,1 1 790 19,9
20 to 64 years old 4 575 57,7 4 809 53,4
65 and over 1 527 19,2 2 408 26,7
  • 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: 17 705 100,0 16 802 100,0
In the same house 15 016 84,8 14 250 84,8
In another house in the same town 1 253 7,1 1 202 7,2
In another town 1 436 8,1 1 351 8,0
  • 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 48,4 51,6
15 to 24 years old 38,9 61,1
25 to 54 years old 48,5 51,5
55 years old and over 57,2 42,8
  • 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 15 869 100,0 15 248 100,0 14 466 100,0
Farmer operators 35 0,2 29 0,2 34 0,2
Craftsmen, traders, business leaders 326 2,1 400 2,6 429 3,0
Managers and higher intellectual professions 978 6,2 889 5,8 908 6,3
Middle-level occupations 1 810 11,4 1 734 11,4 1 722 11,9
Services employee 3 016 19,0 2 706 17,7 2 409 16,7
Blue-collar workers 2 258 14,2 2 202 14,4 1 930 13,3
Retirees 4 160 26,2 4 329 28,4 4 317 29,8
Other people with no professional activity 3 286 20,7 2 958 19,4 2 717 18,8
  • 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 6 690 7 776 100,0 100,0 100,0
Farmer operators 23 11 0,1 0,2 0,3
Craftsmen, traders, business leaders 271 157 0,5 4,5 2,3
Managers and higher intellectual professions 519 389 1,9 10,9 3,3
Middle-level occupations 723 999 8,2 21,2 4,1
Services employee 716 1 693 18,5 26,8 6,0
Blue-collar workers 1 570 360 15,1 21,8 4,3
Retirees 1 763 2 554 0,0 0,3 69,9
Other people without professional activity 1 104 1 614 55,7 14,3 9,7
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Municipality of Verdun (55545)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 8 959 100,0 8 956 100,0 8 780 100,0 18 360 17 069 16 267
One-person households (male and female) 3 904 43,6 4 287 47,9 4 467 50,9 3 904 4 287 4 467
 Single Male 1 521 17,0 1 801 20,1 1 910 21,8 1 521 1 801 1 910
 Single Female 2 383 26,6 2 486 27,8 2 557 29,1 2 383 2 486 2 557
Other households without families 199 2,2 165 1,8 120 1,4 478 399 308
Family households: 4 855 54,2 4 504 50,3 4 194 47,8 13 978 12 383 11 493
 Couple with no children 2 083 23,3 2 093 23,4 1 891 21,5 4 241 4 269 3 843
 Couple with children 1 817 20,3 1 505 16,8 1 301 14,8 7 211 5 742 5 078
 Single parent 955 10,7 906 10,1 1 001 11,4 2 527 2 372 2 572
  • 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 3,16 2,93 2,62 2,43 2,22 2,05 1,91 1,85
  • (*) 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 12,3 15,8 13,1
20 to 24 years old 27,6 32,3 32,8
25 to 39 years old 22,0 24,3 27,7
40 to 54 years old 20,1 25,1 28,4
55 to 64 years old 27,2 30,7 34,2
65 to 79 years old 35,2 35,7 37,1
80 and over 58,7 55,1 57,9
  • 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 4,7 4,3 3,6
20 to 24 years old 28,7 28,9 28,4
25 to 39 years old 58,6 55,7 52,0
40 to 54 years old 64,9 57,2 52,6
55 to 64 years old 64,0 60,5 56,3
65 to 79 years old 57,2 58,5 58,0
80 and over 25,7 33,0 29,4
  • 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 32,5
Civil partnership 3,5
In cohabitation 11,0
Widowed 9,7
Divorced 9,0
Single 34,4
  • 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 8 780 100,0 16 267 100,0
Farmer operators 20 0,2 55 0,3
Craftsmen, traders, business leaders 307 3,5 780 4,8
Managers and higher intellectual professions 641 7,3 1 341 8,2
Middle-level occupations 1 135 12,9 2 315 14,2
Services employee 1 650 18,8 3 461 21,3
Blue-collar workers 1 394 15,9 3 025 18,6
Retirees 2 734 31,1 3 856 23,7
Other people with no professional activity 900 10,2 1 435 8,8
  • 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 0,2
Handicrafters, traders, business leaders 3,5
Managers and higher intellectual professions 7,3
Middle-level occupations 12,9
Services employee 18,8
Blue-collar workers 15,9
Retirees 31,1
Unemployed persons 10,2
  • 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 4 900 100,0 4 532 100,0 4 220 100,0
Couple with children 1 824 37,2 1 517 33,5 1 307 31,0
Single parent 983 20,1 916 20,2 1 019 24,2
Male single parent 76 1,5 88 1,9 148 3,5
Female single parent 907 18,5 828 18,3 871 20,6
Couple with no children 2 093 42,7 2 099 46,3 1 894 44,9
  • 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 4 900 100,0 4 532 100,0 4 220 100,0
No children 2 348 47,9 2 350 51,8 2 221 52,6
1 child 1 188 24,3 1 065 23,5 985 23,3
2 children 820 16,7 762 16,8 638 15,1
3 children 372 7,6 251 5,5 258 6,1
4 children and over 171 3,5 103 2,3 118 2,8
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Municipality of Verdun (55545)

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 7 496 8 389 8 967 9 310 9 597 9 989 10 216 10 227
Main residences 6 724 7 704 7 941 8 239 8 529 8 959 8 958 8 780
Second homes 59 95 118 226 174 133 84 178
Vacant dwellings 713 590 908 845 894 897 1 174 1 268
  • (*) 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 9 989 100,0 10 216 100,0 10 227 100,0
Main residences 8 959 89,7 8 958 87,7 8 780 85,9
Second homes 133 1,3 84 0,8 178 1,7
Vacant dwellings 897 9,0 1 174 11,5 1 268 12,4
Houses 3 874 38,8 4 182 40,9 4 189 41,0
Flats 6 006 60,1 5 896 57,7 5 973 58,4
  • 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 8 959 100,0 8 958 100,0 8 780 100,0
1 room 655 7,3 675 7,5 590 6,7
2 rooms 1 297 14,5 1 333 14,9 1 487 16,9
3 rooms 1 990 22,2 1 881 21,0 1 747 19,9
4 rooms 2 226 24,9 2 328 26,0 2 241 25,5
5 rooms and over 2 790 31,1 2 740 30,6 2 715 30,9
  • 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 3,8 3,8 3,8
Houses 4,9 4,9 4,9
Flats 3,0 3,0 3,0
  • 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 1,9
Non-over-occupied 98,1
  • 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 8 667 100,0
before 1919 656 7,6
from 1919 to 1945 1 613 18,6
from 1946 to 1970 3 012 34,7
from 1971 to 1990 2 156 24,9
from 1991 to 2005 762 8,8
from 2006 to 2015 468 5,4
  • 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 294 358
from 1919 to 1945 713 899
from 1946 to 1970 1 215 1 792
from 1971 to 1990 967 1 142
from 1991 to 2005 360 403
from 2006 to 2015 246 222
  • 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 8 780 100,0 16 271 3,8 2,0
Less than 2 years 1 491 17,0 2 543 3,0 1,8
From 2 to 4 years 1 953 22,2 3 886 3,4 1,7
From 5 to 9 years 1 537 17,5 3 087 3,6 1,8
10 years and over 3 799 43,3 6 755 4,4 2,5
  • 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 17,0
From 2 to 4 years 22,2
From 5 to 9 years 17,5
From 10 to 19 years 16,2
From 20 to 29 years 10,0
30 years and over 17,1
  • 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 8 959 100,0 8 958 100,0 8 780 100,0 16 271 13,8
Homeowner 3 423 38,2 3 638 40,6 3 605 41,1 7 034 22,5
Tenant 5 322 59,4 5 109 57,0 5 056 57,6 8 986 7,6
(including social sector housing) 1 977 22,1 1 863 20,8 1 764 20,1 3 564 10,3
Housed for free 213 2,4 211 2,4 119 1,4 251 11,0
  • 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 8 959 100,0 8 958 100,0 8 780 100,0
Bathroom including a shower or a bath 8 658 96,6 8 758 97,8 8 546 97,3
Collective central heating 1 466 16,4 1 455 16,2 1 026 11,7
Individual central heating 5 289 59,0 4 942 55,2 5 191 59,1
Individual electric heating 1 846 20,6 2 126 23,7 2 199 25,0
  • 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 8 959 100,0 8 958 100,0 8 780 100,0
At least one parking spot 4 294 47,9 4 514 50,4 4 630 52,7
At least one car 6 605 73,7 6 726 75,1 6 541 74,5
1 car 4 472 49,9 4 542 50,7 4 534 51,6
2 cars and over 2 134 23,8 2 184 24,4 2 007 22,9
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Municipality of Verdun (55545)

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 683 471 69,0 65,8 72,3
6 to 10 years old 872 839 96,2 97,2 95,3
11 to 14 years old 636 621 97,5 97,7 97,3
15 to 17 years old 598 559 93,4 93,3 93,6
18 to 24 years old 1 655 680 41,1 37,3 44,6
25 to 29 years old 1 182 73 6,2 6,9 5,6
30 years old and over 11 019 108 1,0 1,1 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 84,3 81,4 69,0
6 to 10 years old 97,8 98,9 96,2
11 to 14 years old 97,5 98,3 97,5
15 to 17 years old 94,7 93,6 93,4
18 to 24 years old 44,1 47,7 41,1
25 to 29 years old 5,2 4,8 6,2
30 years old and over 1,7 1,0 1,0
  • 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 13 034 5 983 7 051
Proportion of graduates in percentage
No diploma or primary education certificate 24,0 21,8 25,8
BEPC brevet des collèges or DNB 5,9 4,6 7,0
CAP, BEP or equivalent 29,1 34,6 24,4
Baccalauréat, brevet professionnel or equivalent 17,0 16,3 17,6
2 years at university 10,7 9,1 12,0
3 to 4 years at university 7,2 6,2 8,1
5 years and over at university 6,1 7,3 5,2
  • 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 33,0 24,0
BEPC brevet des collèges or DNB 6,4 5,9
CAP, BEP or equivalent 27,1 29,1
Baccalauréat, brevet professionnel or equivalent 15,0 17,0
2 years and over at university 18,6 24,0
  • 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

Municipality of Verdun (55545)

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 12 438 11 472 10 520
Labor force in % 68,9 70,6 71,7
 including people in work in % 57,0 56,7 57,2
 including unemployed workers in % 11,9 13,9 14,5
Economically inactive people in % 31,1 29,4 28,3
 including pupils, students or interns in % 11,2 10,4 9,7
 including retirees in % 8,6 7,8 6,7
 including other economically inactive people in % 11,3 11,2 11,9
  • 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 10 520 7 543 71,7 6 017 57,2
 15 to 24 years old 2 253 1 130 50,1 788 35,0
 25 to 54 years old 6 046 5 269 87,2 4 275 70,7
 55 to 64 years old 2 220 1 144 51,5 953 42,9
Male 5 150 3 871 75,2 3 041 59,0
 15 to 24 years old 1 116 597 53,5 418 37,4
 25 to 54 years old 2 992 2 691 89,9 2 160 72,2
 55 to 64 years old 1 043 583 55,9 463 44,4
Female 5 369 3 672 68,4 2 976 55,4
 15 to 24 years old 1 137 533 46,9 371 32,6
 25 to 54 years old 3 054 2 578 84,4 2 115 69,3
 55 to 64 years old 1 178 561 47,6 490 41,6
  • 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 57,2
Unemployed workers 14,5
Retirees 6,7
Pupils, students or interns 9,7
Other economically inactive people 11,9
  • 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 8 578 7 106 8 083 6 498 7 559 6 021
including
 Farmer operators 33 33 29 26 31 31
 Handicrafters, traders and business leaders 315 298 383 340 408 387
 Managers and higher intellectual professions 969 957 873 846 857 811
 Middle-level occupations 1 804 1 676 1 728 1 566 1 714 1 541
 Services employee 3 005 2 403 2 677 2 145 2 374 1 861
 Blue-collar workers 2 252 1 740 2 173 1 575 1 921 1 390
  • 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 1 476 1 596 1 526
Unemployment rate in % 17,2 19,7 20,2
Unemployment of the 15-24 aged 30,7 34,0 30,2
Unemployment of the 25-54 aged 15,4 18,0 18,9
Unemployment of the 55-64 aged 9,0 13,6 16,7
  • 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 40,2
BEPC brevet des collèges or DNB 33,6
CAP, BEP or equivalent 27,6
Baccalauréat, brevet professionnel or equivalent 16,1
2 years at university 7,0
3 to 4 years at university 3,5
5 years and over at university 10,5
  • 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 10 996 10 802 10 505
People in work living in the area 7 138 6 595 6 150
Employment concentration indicator 154,1 163,8 170,8
Activity rate of 15 years old and over in % 54,3 53,8 53,1
  • 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 10 996 100,0 10 802 100,0 10 505 100,0
Employee 10 159 92,4 9 888 91,5 9 531 90,7
 including women 5 758 52,4 5 710 52,9 5 519 52,5
 including part-time workers 1 962 17,8 2 066 19,1 1 808 17,2
Non-employee 837 7,6 914 8,5 974 9,3
 including women 325 3,0 353 3,3 386 3,7
 including part-time workers 86 0,8 129 1,2 110 1,0
  • 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 10 254 100,0
Farmer operators 32 0,3
Handicrafters, traders, business leaders 544 5,3
Managers and higher intellectual professions 1 185 11,6
Middle-level occupations 2 997 29,2
Services employee 3 707 36,1
Blue-collar workers 1 790 17,5
  • 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 0,3 0,1 0,3
Handicrafters, traders, business leaders 4,5 4,5 5,3
Managers and higher intellectual professions 12,3 12,0 11,6
Middle-level occupations 26,8 28,6 29,2
Services employee 36,2 34,8 36,1
Blue-collar workers 19,8 19,9 17,5
  • 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 10 986 100,0 10 682 100,0 10 254 100,0 57,3 91,9
Agriculture 156 1,4 156 1,5 122 1,2 18,4 74,5
Industry 1 009 9,2 1 195 11,2 1 072 10,5 23,9 93,5
Construction 396 3,6 397 3,7 340 3,3 9,8 82,6
Wholesale and retail trade/transports/accommodations and food service activities 4 044 36,8 3 766 35,3 3 580 34,9 56,6 86,8
Public administration/education/healthcare/social work 5 382 49,0 5 167 48,4 5 141 50,1 68,8 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 13,6 32,4
Industry 24,1 21,4
Construction 11,8 0,0
Wholesale and retail trade, transports, accommodations and food service activities 59,0 40,2
Public administration, education, healthcare, social work 69,3 55,7
  • 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

Municipality of Verdun (55545)

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 6 144 100,0 18,5 49,5
Employees 5 431 88,4 19,6 50,5
Non-employees 713 11,6 10,2 42,1
  • 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 3 103 100 3 041 100
Employees 2 690 86,7 2 741 90,1
 Tenured personnel and open-ended employment contracts 2 104 67,8 2 168 71,3
 Fixed-term employment contracts 309 10,0 387 12,7
 Temporary employment 90 2,9 36 1,2
 Assisted jobs 53 1,7 66 2,2
 Apprentice ship contract - Traineeship 134 4,3 84 2,8
Non-employees 413 13,3 301 9,9
 Independents 189 6,1 166 5,4
 Employers 220 7,1 127 4,2
 Caregivers 3 0,1 8 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 2 654 8,0 2 695 29,4
15 to 24 years old 400 15,7 361 29,2
25 to 54 years old 1 896 6,1 1 917 27,2
55 to 64 years old 357 9,7 417 39,7
  • 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 6,5 8,8 8,8
Female 30,7 33,5 30,2
  • 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 7 132 100 6 595 100 6 144 100
working :
in their residential zone 4 815 67,5 4 409 66,9 4 038 65,7
in another zone 2 317 32,5 2 185 33,1 2 107 34,3
  • 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 3,7
Walking 15,1
Bicycle 2,9
Motorized two-wheeled vehicles 1,1
Car or truck 73,6
Public transports 3,5
  • 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

Municipality of Verdun (55545)

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 202 201 206 208 206 221 248 237
Domiciled births 210 192 197 173 166 157 166 171
  • 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

Municipality of Verdun (55545)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 8 181
Number of people in tax households 15 545
Median disposable income (per consumption unit in euros) 20 050
Share of actually taxed tax households (in %) 40
  • 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 20
Less than 30 years old 33
30 to 39 years old 26
40 to 49 years old 23
50 to 59 years old 18
60 to 74 years old 14
75 and over 11
  • 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 20
Homeowner 5
Tenant 33
  • 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 62,1
including wages 53,5
including unemployment pensions 2,7
including self-employed income 5,9
Retirement pension or annuity 34,2
Capital income (real estate, financial, others) 7,8
Social benefits 10,1
including child benefit 2,2
including income support 5,5
including housing benefit 2,4
Tax –14,2
  • 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) 20 050
Inter-decile ratio 3,3
1st decile (in euros) 10 600
9th decile (in euros) 35 440
  • 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

Municipality of Verdun (55545)

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 13,2 11,9 14,0
Managerial staff* 24,2 20,8 25,9
Middle-level occupations 14,7 13,4 15,9
Services employee 10,7 10,5 10,9
Blue-collar workers 11,4 9,5 11,8
  • * 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 –14,9
Managerial staff* –19,7
Middle-level occupations –15,9
Services employee –3,2
Blue-collar workers –18,8
  • * 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 10,2 9,8 10,5
26 to 50 years old 12,8 11,7 13,5
50 years old or over 15,5 13,4 17,2
  • 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

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 –6,5
26 to 50 years old –13,1
50 years old and over –22,1
  • 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

Municipality of Verdun (55545)

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 720 100,0 60 510 73 51 26
Agriculture, forestry and fishing 3 0,4 0 2 0 0 1
Industrial economy 49 6,8 3 25 9 6 6
Building industry 34 4,7 2 28 2 2 0
Trade, transport, various services 498 69,2 50 383 39 20 6
including trade and car repair 176 24,4 14 140 13 7 2
Administration publique, enseignement, santé, action sociale 136 18,9 5 72 23 23 13
  • 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 8 625 100,0 1 649 1 003 1 546 1 098 3 329
Agriculture, forestry and fishing 103 1,2 6 0 0 97 0
Industrial economy 956 11,1 94 126 169 182 385
Building industry 179 2,1 92 28 59 0 0
Trade, transport, various services 3 160 36,6 1 164 544 607 214 631
including trade and car repair 1 308 15,2 468 190 226 0 424
Administration publique, enseignement, santé, action sociale 4 227 49,0 293 305 711 605 2 313
  • 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* 18,9
Trade, transport, various services* 69,2
Building industry* 4,7
Industrial economy* 6,8
Agriculture, forestry and fishing* 0,4
  • 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 3,6
20 to 49 employees 7,1
10 to 19 employees 10,1
1 to 9 employee(s) 70,8
0 employee 8,3
  • 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 720 100,0 8 625 100,0
Productive sphere* 148 20,6 1 718 19,9
of which public domain* 0 0,0 0 0,0
Presential sphere 572 79,4 6 907 80,1
of which public domain* 47 6,5 3 014 34,9
  • 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 T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 610 100,0
Employers of childminders 218 35,7
Employers of other employees 392 64,3
  • 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

Municipality of Verdun (55545)

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 161 100,0 127 78,9
Industry 10 6,2 8 80,0
Construction 8 5,0 7 87,5
Wholesale and retail trade/transports/accommodations and food service activities 75 46,6 62 82,7
Information/communication 1 0,6 0 0,0
Finance and insurance activities 6 3,7 4 66,7
Real estate activities 6 3,7 4 66,7
Professional/scientific/technical activites/administrative and support service activities 18 11,2 11 61,1
Public administration/education/healthcare/social work 16 9,9 14 87,5
Other service activities 21 13,0 17 81,0
  • 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 130 95 129 91 99 67 105 119 122 161
Sole proprietorship 107 67 95 72 64 43 82 89 95 127
  • 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 1 186 100,0
Industry 68 5,7
Construction 105 8,9
Wholesale and retail trade/transports/accommodations and food service activities 424 35,8
Information/communication 24 2,0
Finance and insurance activities 47 4,0
Real estate activities 66 5,6
Professional/scientific/technical activites/administrative and support service activities 154 13,0
Public administration/education/human health/social work 159 13,4
Other service activities 139 11,7
  • 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 184 100,0
Industry 12 6,5
Construction 11 6,0
Wholesale and retail trade/transports/accommodations and food service activities 79 42,9
Information/communication 1 0,5
Finance and insurance activities 8 4,3
Real estate activities 8 4,3
Professional/scientific/technical activites/administrative and support service activities 23 12,5
Public administration/education/healthcare/social work 20 10,9
Other service activities by the number of business creations including free lancers 22 12,0
  • 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 156 123 143 107 110 92 121 146 149 184
  • 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 1 450 100,0
Industry 90 6,2
Construction 118 8,1
Wholesale and retail trade/transports/accommodations and food service activities 546 37,7
Information/communication 25 1,7
Finance and insurance activities 79 5,4
Real estate activities 77 5,3
Professional/scientific/technical activites/administrative and support service activities 179 12,3
Public administration/education/human health/social work 181 12,5
Other service activities 155 10,7
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2023

Municipality of Verdun (55545)

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 11 381
1 star 1 32
2 stars 5 202
3 stars 3 58
4 stars 1 40
5 stars 0 0
Non-ranked 1 49
  • 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 1 170
1 star 0 0
2 stars 0 0
3 stars 1 170
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • 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.