données locales

Paru le : 21/02/2023

Full set of local data Municipality of Dombasle-sur-Meurthe (54159)

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

Growth and structure of the population in 2019

Municipality of Dombasle-sur-Meurthe (54159)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 9 964 100,0 9 953 100,0 9 668 100,0
0 to 14 years old 1 999 20,1 1 991 20,0 1 788 18,5
15 to 29 years old 1 771 17,8 1 640 16,5 1 545 16,0
30 to 44 years old 2 087 20,9 1 922 19,3 1 801 18,6
45 to 59 years old 1 859 18,7 1 972 19,8 1 990 20,6
60 to 74 years old 1 294 13,0 1 388 13,9 1 475 15,3
75 and over 955 9,6 1 040 10,4 1 070 11,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2008 2013 2019
0 to 14 years old 20,1 20,0 18,5
15 to 29 years old 17,8 16,5 16,0
30 to 44 years old 20,9 19,3 18,6
45 to 59 years old 18,7 19,8 20,6
60 to 74 years old 13,0 13,9 15,3
75 and over 9,6 10,4 11,1
  • 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 9 469 10 027 9 474 9 133 8 950 9 964 9 953 9 668
Average density (inhab / km²) 844,7 894,5 845,1 814,7 798,4 888,8 887,9 862,4
  • (*) 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 –0,8 –0,5 –0,2 1,2 –0,0 –0,5
due to the natural balance in % 0,5 0,3 0,3 0,1 0,2 0,3 –0,1
due to the apparent balance of inflows and outflows in % 0,3 –1,1 –0,8 –0,3 1,0 –0,3 –0,4
Natality rate (‰) 14,6 13,1 14,0 11,4 11,7 11,8 9,2
Mortality rate (‰) 9,6 10,3 10,7 10,3 10,1 9,1 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 4 688 100,0 4 980 100,0
0 to 14 years old 963 20,5 825 16,6
15 to 29 years old 800 17,1 745 15,0
30 to 44 years old 870 18,6 930 18,7
45 to 59 years old 973 20,7 1 017 20,4
60 to 74 years old 689 14,7 786 15,8
75 to 89 years old 367 7,8 592 11,9
90 years and over 27 0,6 83 1,7
0 to 19 years old 1 321 28,2 1 169 23,5
20 to 64 years old 2 552 54,4 2 638 53,0
65 and over 816 17,4 1 173 23,6
  • 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: 9 847 100,0 9 581 100,0
In the same house 8 849 89,9 8 677 90,6
In another house in the same town 333 3,4 287 3,0
In another town 664 6,7 617 6,4
  • 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 29,7 70,3
15 to 24 years old 30,7 69,3
25 to 54 years old 32,4 67,6
55 years old and over 35,4 64,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

POP T5 - Population aged 15 years and over by socioprofessional classification
2008 % 2013 % 2019 %
Altogether 7 862 100,0 7 893 100,0 7 940 100,0
Farmer operators 8 0,1 8 0,1 5 0,1
Craftsmen, traders, business leaders 172 2,2 141 1,8 223 2,8
Managers and higher intellectual professions 320 4,1 350 4,4 355 4,5
Middle-level occupations 1 058 13,5 1 119 14,2 1 108 14,0
Services employee 1 498 19,1 1 619 20,5 1 509 19,0
Blue-collar workers 1 272 16,2 1 255 15,9 975 12,3
Retirees 2 242 28,5 2 269 28,7 2 528 31,8
Other people with no professional activity 1 291 16,4 1 132 14,3 1 236 15,6
  • 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 3 747 4 192 100,0 100,0 100,0
Farmer operators 0 5 0,0 0,1 0,0
Craftsmen, traders, business leaders 153 70 0,0 5,2 1,2
Managers and higher intellectual professions 232 123 0,5 8,2 1,8
Middle-level occupations 482 626 6,8 25,7 3,7
Services employee 446 1 063 12,5 32,3 6,9
Blue-collar workers 825 150 9,0 20,2 4,9
Retirees 1 141 1 387 0,0 1,1 75,7
Other people without professional activity 468 768 71,2 7,2 5,8
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Municipality of Dombasle-sur-Meurthe (54159)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 4 033 100,0 4 097 100,0 4 140 100,0 9 836 9 791 9 600
One-person households (male and female) 1 135 28,1 1 180 28,8 1 304 31,5 1 135 1 180 1 304
 Single Male 384 9,5 403 9,8 547 13,2 384 403 547
 Single Female 751 18,6 777 19,0 757 18,3 751 777 757
Other households without families 95 2,3 101 2,5 45 1,1 242 278 119
Family households: 2 804 69,5 2 816 68,7 2 790 67,4 8 459 8 334 8 176
 Couple with no children 1 087 26,9 1 125 27,5 1 194 28,9 2 194 2 291 2 424
 Couple with children 1 384 34,3 1 320 32,2 1 217 29,4 5 403 5 084 4 716
 Single parent 333 8,3 371 9,1 379 9,2 863 959 1 037
  • 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 3,29 3,00 2,72 2,64 2,48 2,44 2,39 2,32
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts RP2008 to RP2019 main holdings

FAM G1 - Households’ size since 1968

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

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

FAM G2 - Share of people aged 15 years and over living alone, by age – household population
en % 2008 2013 2019
15 to 19 years old 0,5 0,2 0,3
20 to 24 years old 4,4 5,2 6,9
25 to 39 years old 6,4 6,5 7,5
40 to 54 years old 9,0 8,4 10,8
55 to 64 years old 18,6 20,4 20,4
65 to 79 years old 27,6 27,8 29,1
80 and over 55,8 51,7 49,8
  • 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 2,3 2,0 1,1
20 to 24 years old 21,9 22,8 22,3
25 to 39 years old 79,5 76,8 72,6
40 to 54 years old 77,6 77,9 76,8
55 to 64 years old 75,0 72,6 71,1
65 to 79 years old 66,7 67,4 67,5
80 and over 32,8 38,0 42,5
  • 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 44,6
Civil partnership 6,3
In cohabitation 10,3
Widowed 8,8
Divorced 6,0
Single 24,0
  • 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 4 140 100,0 9 600 100,0
Farmer operators 5 0,1 10 0,1
Craftsmen, traders, business leaders 155 3,7 426 4,4
Managers and higher intellectual professions 237 5,7 793 8,3
Middle-level occupations 679 16,4 1 838 19,1
Services employee 732 17,7 2 061 21,5
Blue-collar workers 683 16,5 1 890 19,7
Retirees 1 538 37,2 2 333 24,3
Other people with no professional activity 111 2,7 248 2,6
  • 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 0,1
Handicrafters, traders, business leaders 3,7
Managers and higher intellectual professions 5,7
Middle-level occupations 16,4
Services employee 17,7
Blue-collar workers 16,5
Retirees 37,2
Unemployed persons 2,7
  • 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 2 816 100,0 2 836 100,0 2 795 100,0
Couple with children 1 388 49,3 1 323 46,7 1 217 43,5
Single parent 341 12,1 383 13,5 384 13,7
Male single parent 53 1,9 85 3,0 70 2,5
Female single parent 288 10,2 299 10,5 314 11,2
Couple with no children 1 087 38,6 1 129 39,8 1 194 42,7
  • 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 2 816 100,0 2 836 100,0 2 795 100,0
No children 1 197 42,5 1 287 45,4 1 359 48,6
1 child 673 23,9 661 23,3 558 20,0
2 children 667 23,7 622 21,9 618 22,1
3 children 212 7,5 196 6,9 199 7,1
4 children and over 65 2,3 71 2,5 61 2,2
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Municipality of Dombasle-sur-Meurthe (54159)

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 2 941 3 406 3 620 3 625 3 769 4 332 4 469 4 495
Main residences 2 774 3 206 3 401 3 385 3 567 4 032 4 097 4 128
Second homes 28 18 13 35 30 14 15 14
Vacant dwellings 139 182 206 205 172 286 357 353
  • (*) 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 4 332 100,0 4 469 100,0 4 495 100,0
Main residences 4 032 93,1 4 097 91,7 4 128 91,8
Second homes 14 0,3 15 0,3 14 0,3
Vacant dwellings 286 6,6 357 8,0 353 7,9
Houses 3 064 70,7 3 121 69,8 3 098 68,9
Flats 1 255 29,0 1 262 28,2 1 287 28,6
  • 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 4 032 100,0 4 097 100,0 4 128 100,0
1 room 133 3,3 131 3,2 124 3,0
2 rooms 202 5,0 218 5,3 262 6,3
3 rooms 672 16,7 684 16,7 683 16,5
4 rooms 1 132 28,1 1 154 28,2 1 186 28,7
5 rooms and over 1 893 47,0 1 910 46,6 1 873 45,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T4 - Average number of rooms in main residences

LOG T4 - Average number of rooms in main residences
2008 2013 2019
All main residences 4,4 4,4 4,4
Houses 4,9 4,9 4,9
Flats 3,1 3,2 3,2
  • 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 1,2
Non-over-occupied 98,8
  • 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 4 116 100,0
before 1919 529 12,9
from 1919 to 1945 607 14,8
from 1946 to 1970 1 098 26,7
from 1971 to 1990 1 046 25,4
from 1991 to 2005 445 10,8
from 2006 to 2015 390 9,5
  • 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 461 65
from 1919 to 1945 507 100
from 1946 to 1970 791 307
from 1971 to 1990 555 415
from 1991 to 2005 359 85
from 2006 to 2015 227 144
  • 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 4 128 100,0 9 558 4,4 1,9
Less than 2 years 390 9,4 891 3,9 1,7
From 2 to 4 years 664 16,1 1 639 4,0 1,6
From 5 to 9 years 784 19,0 1 988 4,1 1,6
10 years and over 2 290 55,5 5 040 4,6 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 9,4
From 2 to 4 years 16,1
From 5 to 9 years 19,0
From 10 to 19 years 23,5
From 20 to 29 years 10,5
30 years and over 21,5
  • 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 4 032 100,0 4 097 100,0 4 128 100,0 9 558 17,0
Homeowner 2 669 66,2 2 713 66,2 2 705 65,5 6 630 21,0
Tenant 1 295 32,1 1 328 32,4 1 381 33,5 2 846 9,1
(including social sector housing) 707 17,5 649 15,9 662 16,0 1 481 10,6
Housed for free 69 1,7 57 1,4 41 1,0 82 17,8
  • 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 4 032 100,0 4 097 100,0 4 128 100,0
Bathroom including a shower or a bath 3 912 97,0 3 981 97,2 4 043 97,9
Collective central heating 393 9,8 396 9,7 388 9,4
Individual central heating 2 785 69,1 2 783 67,9 2 805 68,0
Individual electric heating 565 14,0 610 14,9 643 15,6
  • 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 4 032 100,0 4 097 100,0 4 128 100,0
At least one parking spot 2 601 64,5 2 599 63,4 2 642 64,0
At least one car 3 199 79,3 3 385 82,6 3 485 84,4
1 car 1 922 47,7 1 920 46,9 1 960 47,5
2 cars and over 1 277 31,7 1 465 35,8 1 525 36,9
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Municipality of Dombasle-sur-Meurthe (54159)

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 437 315 72,1 74,3 69,1
6 to 10 years old 621 605 97,3 97,7 96,9
11 to 14 years old 562 555 98,8 98,9 98,6
15 to 17 years old 445 432 96,9 96,7 97,1
18 to 24 years old 695 344 49,5 46,2 54,0
25 to 29 years old 405 13 3,2 5,1 1,4
30 years old and over 6 335 47 0,7 0,6 0,8
  • 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 75,2 72,4 72,1
6 to 10 years old 99,3 98,4 97,3
11 to 14 years old 99,6 98,7 98,8
15 to 17 years old 97,0 95,9 96,9
18 to 24 years old 50,4 48,8 49,5
25 to 29 years old 3,4 2,4 3,2
30 years old and over 0,6 0,6 0,7
  • 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 7 045 3 312 3 733
Proportion of graduates in percentage
No diploma or primary education certificate 24,2 19,8 28,2
BEPC brevet des collèges or DNB 5,0 4,0 5,8
CAP, BEP or equivalent 33,5 39,1 28,4
Baccalauréat, brevet professionnel or equivalent 17,3 17,6 17,0
2 years at university 10,2 10,1 10,4
3 to 4 years at university 6,1 5,3 6,7
5 years and over at university 3,8 4,2 3,5
  • 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 35,8 24,2
BEPC brevet des collèges or DNB 4,8 5,0
CAP, BEP or equivalent 31,1 33,5
Baccalauréat, brevet professionnel or equivalent 13,4 17,3
2 years and over at university 14,8 20,1
  • 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 Dombasle-sur-Meurthe (54159)

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 6 136 6 109 5 891
Labor force in % 71,7 74,4 73,3
 including people in work in % 65,3 65,8 64,3
 including unemployed workers in % 6,5 8,6 9,0
Economically inactive people in % 28,3 25,6 26,7
 including pupils, students or interns in % 11,8 9,6 11,2
 including retirees in % 8,0 9,1 8,1
 including other economically inactive people in % 8,5 6,8 7,5
  • 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 5 891 4 317 73,3 3 788 64,3
 15 to 24 years old 1 140 421 37,0 290 25,5
 25 to 54 years old 3 543 3 281 92,6 2 956 83,4
 55 to 64 years old 1 208 614 50,9 542 44,9
Male 2 910 2 205 75,8 1 916 65,8
 15 to 24 years old 605 260 42,9 167 27,6
 25 to 54 years old 1 707 1 644 96,3 1 493 87,5
 55 to 64 years old 597 301 50,4 256 42,8
Female 2 981 2 112 70,8 1 872 62,8
 15 to 24 years old 535 162 30,2 123 23,0
 25 to 54 years old 1 836 1 637 89,1 1 463 79,7
 55 to 64 years old 610 313 51,3 286 46,8
  • 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 64,3
Unemployed workers 9,0
Retirees 8,1
Pupils, students or interns 11,2
Other economically inactive people 7,5
  • 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 4 366 3 980 4 532 3 993 4 243 3 737
including
 Farmer operators 8 8 8 8 5 5
 Handicrafters, traders and business leaders 168 160 129 113 223 208
 Managers and higher intellectual professions 320 312 346 346 350 350
 Middle-level occupations 1 058 1 022 1 115 1 043 1 108 1 048
 Services employee 1 498 1 350 1 611 1 406 1 499 1 341
 Blue-collar workers 1 268 1 128 1 251 1 078 960 785
  • 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 397 526 529
Unemployment rate in % 9,0 11,6 12,2
Unemployment of the 15-24 aged 22,4 28,9 31,1
Unemployment of the 25-54 aged 7,5 9,2 9,9
Unemployment of the 55-64 aged 5,3 10,6 11,8
  • 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 21,7
BEPC brevet des collèges or DNB 23,9
CAP, BEP or equivalent 13,1
Baccalauréat, brevet professionnel or equivalent 12,8
2 years at university 4,5
3 to 4 years at university 6,4
5 years and over at university 5,5
  • 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 2 657 2 881 2 923
People in work living in the area 4 026 4 046 3 815
Employment concentration indicator 66,0 71,2 76,6
Activity rate of 15 years old and over in % 55,5 57,5 55,1
  • 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 2 657 100,0 2 881 100,0 2 923 100,0
Employee 2 431 91,5 2 579 89,5 2 635 90,2
 including women 1 018 38,3 1 121 38,9 1 173 40,1
 including part-time workers 438 16,5 527 18,3 529 18,1
Non-employee 225 8,5 302 10,5 288 9,8
 including women 92 3,5 113 3,9 124 4,2
 including part-time workers 22 0,8 37 1,3 38 1,3
  • 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 2 930 100,0
Farmer operators 0 0,0
Handicrafters, traders, business leaders 157 5,3
Managers and higher intellectual professions 319 10,9
Middle-level occupations 800 27,3
Services employee 914 31,2
Blue-collar workers 740 25,3
  • 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 0,3 0,0
Handicrafters, traders, business leaders 4,5 4,9 5,3
Managers and higher intellectual professions 11,0 8,6 10,9
Middle-level occupations 25,1 26,3 27,3
Services employee 28,1 30,4 31,2
Blue-collar workers 31,0 29,6 25,3
  • 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 2 742 100,0 2 935 100,0 2 930 100,0 44,1 92,6
Agriculture 16 0,6 8 0,3 0 0,0
Industry 852 31,1 811 27,6 751 25,6 20,4 97,7
Construction 213 7,8 185 6,3 122 4,1 4,2 66,4
Wholesale and retail trade/transports/accommodations and food service activities 844 30,8 1 017 34,6 1 023 34,9 46,7 89,9
Public administration/education/healthcare/social work 817 29,8 914 31,1 1 034 35,3 63,4 94,6
  • 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
Industry 20,9 0,0
Construction 6,4 0,0
Wholesale and retail trade, transports, accommodations and food service activities 46,2 50,6
Public administration, education, healthcare, social work 63,5 60,9
  • 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 Dombasle-sur-Meurthe (54159)

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 3 815 100,0 17,4 49,4
Employees 3 530 92,5 17,7 50,2
Non-employees 285 7,5 14,3 39,0
  • 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 1 931 100 1 884 100
Employees 1 757 91,0 1 773 94,1
 Tenured personnel and open-ended employment contracts 1 564 81,0 1 573 83,5
 Fixed-term employment contracts 93 4,8 149 7,9
 Temporary employment 37 1,9 8 0,4
 Assisted jobs 12 0,6 24 1,3
 Apprentice ship contract - Traineeship 51 2,6 19 1,0
Non-employees 174 9,0 111 5,9
 Independents 91 4,7 73 3,9
 Employers 82 4,3 35 1,9
 Caregivers 0 0,0 3 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 1 750 5,6 1 763 29,2
15 to 24 years old 164 19,3 115 40,5
25 to 54 years old 1 358 4,0 1 380 26,5
55 to 64 years old 228 5,3 268 38,3
  • Source : Insee, RP2019 main operation, geography as of 01/01/2022.

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

ACT G1 - Proportion of partial time employees aged 15 years or over by sex
2008 2013 2019
Male 4,0 6,0 5,7
Female 33,1 31,9 29,5
  • 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 4 025 100 4 046 100 3 815 100
working :
in their residential zone 1 061 26,3 1 080 26,7 969 25,4
in another zone 2 965 73,7 2 966 73,3 2 846 74,6
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

ACT G2 - Proportion of transports used to go to work in 2019
Percentage
None 3,6
Walking 5,0
Bicycle 1,7
Motorized two-wheeled vehicles 1,0
Car or truck 79,8
Public transports 8,9
  • 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 Dombasle-sur-Meurthe (54159)

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 80 107 98 107 99 101 95 105
Domiciled births 96 95 87 87 59 79 76 99
  • 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 Dombasle-sur-Meurthe (54159)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 4 163
Number of people in tax households 9 579
Median disposable income (per consumption unit in euros) 22 040
Share of actually taxed tax households (in %) 48
  • 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 10
Less than 30 years old
30 to 39 years old 12
40 to 49 years old 12
50 to 59 years old
60 to 74 years old
75 and over
  • 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 10
Homeowner 5
Tenant 25
  • 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 70,6
including wages 64,8
including unemployment pensions 2,6
including self-employed income 3,2
Retirement pension or annuity 31,7
Capital income (real estate, financial, others) 4,4
Social benefits 6,7
including child benefit 2,4
including income support 3,0
including housing benefit 1,3
Tax –13,4
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

REV T3 - Disposable income distribution in 2020

REV T3 - Disposable income distribution in 2020
2020
Median disposable income (per consumption unit in euros) 22 040
Inter-decile ratio 2,5
1st decile (in euros) 13 510
9th decile (in euros) 33 780
  • 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 Dombasle-sur-Meurthe (54159)

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 14,6 13,1 15,7
Managerial staff* 25,0 21,1 26,5
Middle-level occupations 16,1 15,0 17,0
Services employee 11,4 11,1 12,1
Blue-collar workers 12,5 10,7 12,8
  • * 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 –16,5
Managerial staff* –20,4
Middle-level occupations –11,5
Services employee –8,1
Blue-collar workers –16,6
  • * 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 10,3 10,4 10,3
26 to 50 years old 14,3 13,0 15,2
50 years old or over 16,9 14,1 18,6
  • 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 0,2
26 to 50 years old –14,1
50 years old and over –24,3
  • 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 Dombasle-sur-Meurthe (54159)

RES T1P - Active establishments as employers by aggregate sector of activity and size at the end of 2020

RES T1P - 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 or more employees
Altogether 209 100,0 8 155 46
Agriculture, forestry and fishing* 0 0,0 0 0 0
Industrial economy* 27 12,9 1 12 14
Building industry* 19 9,1 1 17 1
Trade, transport, various services* 128 61,2 5 105 18
including trade and car repair 48 23,0 1 41 6
Administration publique, enseignement, santé, action sociale 35 16,7 1 21 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 T2P - Salaried positions by aggregate sector of activity and size of establishment at the end of 2020

RES T2P - Salaried positions by aggregate sector of activity and size of establishment at the end of 2020
Total % 1 to 9 employee(s) 10 or more employees
Altogether 3 393 100,0 426 2 967
Agriculture, forestry and fishing 0 0,0 0 0
Industrial economy 777 22,9 35 742
Building industry 84 2,5 53 31
Trade, transport, various services 776 22,9 285 491
including trade and car repair 308 9,1 138 170
Administration publique, enseignement, santé, action sociale 1 756 51,8 53 1 703
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2022.

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

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2020
%
General government, education, healthcare, social action* 16,7
Trade, transport, various services* 61,2
Building industry* 9,1
Industrial economy* 12,9
Agriculture, forestry and fishing* 0,0
  • 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 G2P - Distribution of active employer establishments by size at the end of 2020

RES G2P - Distribution of active employer establishments by size at the end of 2020
%
10 or more employees 22,0
1 to 10 employee(s) 74,2
0 employee 3,8
  • 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 G2P - 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 209 100,0 3 393 100,0
Productive sphere* 50 23,9 868 25,6
of which public domain* 0 0,0 0 0,0
Presential sphere 159 76,1 2 525 74,4
of which public domain* 16 7,7 1 687 49,7
  • 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 T5 - Individual employers at the end of 2020

RES T5 - Individual employers at the end of 2020
Individual employers
Number %
Altogether 410 100,0
Employers of childminders 239 58,3
Employers of other employees 171 41,7
  • 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 Dombasle-sur-Meurthe (54159)

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 81 100,0 67 82,7
Industry 6 7,4 5 83,3
Construction 5 6,2 4 80,0
Wholesale and retail trade/transports/accommodations and food service activities 25 30,9 18 72,0
Information/communication 1 1,2 1 100,0
Finance and insurance activities 1 1,2 0 0,0
Real estate activities 1 1,2 0 0,0
Professional/scientific/technical activites/administrative and support service activities 15 18,5 13 86,7
Public administration/education/healthcare/social work 14 17,3 14 100,0
Other service activities 13 16,0 12 92,3
  • 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 62 47 35 40 42 31 48 54 63 81
Sole proprietorship 56 40 29 39 31 23 38 46 51 67
  • 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 443 100,0
Industry 35 7,9
Construction 78 17,6
Wholesale and retail trade/transports/accommodations and food service activities 132 29,8
Information/communication 4 0,9
Finance and insurance activities 10 2,3
Real estate activities 9 2,0
Professional/scientific/technical activites/administrative and support service activities 67 15,1
Public administration/education/human health/social work 60 13,5
Other service activities 48 10,8
  • 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 88 100,0
Industry 11 12,5
Construction 5 5,7
Wholesale and retail trade/transports/accommodations and food service activities 26 29,5
Information/communication 1 1,1
Finance and insurance activities 1 1,1
Real estate activities 1 1,1
Professional/scientific/technical activites/administrative and support service activities 16 18,2
Public administration/education/healthcare/social work 14 15,9
Other service activities by the number of business creations including free lancers 13 14,8
  • 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 66 55 38 43 47 39 51 60 68 88
  • 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 519 100,0
Industry 46 8,9
Construction 80 15,4
Wholesale and retail trade/transports/accommodations and food service activities 159 30,6
Information/communication 5 1,0
Finance and insurance activities 17 3,3
Real estate activities 15 2,9
Professional/scientific/technical activites/administrative and support service activities 81 15,6
Public administration/education/human health/social work 61 11,8
Other service activities 55 10,6
  • 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 Dombasle-sur-Meurthe (54159)

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 0 0
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2022.

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 0 0
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 0 0
  • Source: Insee, territorial partners in geography as of 01/01/2022.

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.