données locales

Paru le : 21/02/2023

Full set of local data Municipality of Dieuze (57177)

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

Growth and structure of the population in 2019

Municipality of Dieuze (57177)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 3 782 100,0 3 392 100,0 2 800 100,0
0 to 14 years old 627 16,6 651 19,2 421 15,0
15 to 29 years old 967 25,6 678 20,0 422 15,1
30 to 44 years old 784 20,7 589 17,4 408 14,6
45 to 59 years old 597 15,8 650 19,2 626 22,3
60 to 74 years old 460 12,2 425 12,5 493 17,6
75 and over 348 9,2 399 11,8 430 15,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2008 2013 2019
0 to 14 years old 16,6 19,2 15,0
15 to 29 years old 25,6 20,0 15,1
30 to 44 years old 20,7 17,4 14,6
45 to 59 years old 15,8 19,2 22,3
60 to 74 years old 12,2 12,5 17,6
75 and over 9,2 11,8 15,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

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

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

POP T1 - Population since 1968: population and average density (residents per square kilometre)
1968(*) 1975(*) 1982 1990 1999 2008 2013 2019
Population 4 075 4 141 3 893 3 566 3 612 3 782 3 392 2 800
Average density (inhab / km²) 435,8 442,9 416,4 381,4 386,3 404,5 362,8 299,5
  • (*) 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 % 0,2 –0,9 –1,1 0,1 0,5 –2,2 –3,1
due to the natural balance in % 1,5 1,0 0,7 0,5 0,3 –0,1 –0,7
due to the apparent balance of inflows and outflows in % –1,2 –1,8 –1,8 –0,4 0,2 –2,1 –2,5
Natality rate (‰) 25,3 19,1 18,9 16,0 14,6 11,4 7,8
Mortality rate (‰) 10,7 9,4 11,5 11,0 11,8 12,0 14,6
  • 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 1 276 100,0 1 524 100,0
0 to 14 years old 204 16,0 216 14,2
15 to 29 years old 206 16,1 216 14,2
30 to 44 years old 210 16,4 199 13,1
45 to 59 years old 282 22,1 343 22,5
60 to 74 years old 229 17,9 264 17,3
75 to 89 years old 132 10,3 243 16,0
90 years and over 13 1,0 42 2,7
0 to 19 years old 294 23,0 301 19,8
20 to 64 years old 717 56,2 774 50,8
65 and over 266 20,8 448 29,4
  • 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: 3 351 100,0 2 775 100,0
In the same house 2 815 84,0 2 368 85,3
In another house in the same town 180 5,4 164 5,9
In another town 356 10,6 243 8,8
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

POP G3 - Home address 1 year before for people living in another house, by age in %
In another house in the same town In another town
1 to 14 years old 40,1 59,9
15 to 24 years old 30,2 69,8
25 to 54 years old 47,7 52,3
55 years old and over 30,5 69,5
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • 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 3 184 100,0 2 706 100,0 2 372 100,0
Farmer operators 4 0,1 0 0,0 10 0,4
Craftsmen, traders, business leaders 67 2,1 43 1,6 84 3,5
Managers and higher intellectual professions 103 3,2 123 4,5 114 4,8
Middle-level occupations 311 9,8 351 13,0 245 10,3
Services employee 945 29,7 575 21,3 351 14,8
Blue-collar workers 502 15,8 354 13,1 350 14,8
Retirees 787 24,7 725 26,8 865 36,5
Other people with no professional activity 465 14,6 536 19,8 353 14,9
  • 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 1 068 1 304 100,0 100,0 100,0
Farmer operators 10 0 0,0 0,0 0,9
Craftsmen, traders, business leaders 45 39 1,5 6,1 2,2
Managers and higher intellectual professions 72 43 0,0 10,9 1,7
Middle-level occupations 128 117 12,0 16,7 5,1
Services employee 102 249 12,2 29,1 4,8
Blue-collar workers 254 97 24,3 25,7 3,9
Retirees 361 504 0,0 0,6 73,6
Other people without professional activity 97 256 50,0 10,9 7,9
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.

Couples – Family – Households in 2019

Municipality of Dieuze (57177)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2008 % 2013 % 2019 % 2008 2013 2019
Altogether 1 643 100,0 1 446 100,0 1 377 100,0 3 361 3 066 2 623
One-person households (male and female) 706 43,0 567 39,2 638 46,4 706 567 638
 Single Male 379 23,1 212 14,7 266 19,3 379 212 266
 Single Female 327 19,9 355 24,5 372 27,0 327 355 372
Other households without families 45 2,7 27 1,9 14 1,0 105 54 43
Family households: 891 54,3 852 58,9 725 52,6 2 550 2 445 1 941
 Couple with no children 359 21,9 395 27,3 319 23,2 726 798 643
 Couple with children 339 20,7 344 23,8 226 16,4 1 318 1 336 862
 Single parent 193 11,8 113 7,8 179 13,0 506 312 437
  • 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 3,56 3,24 2,87 2,58 2,35 2,04 2,13 1,89
  • (*) 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 7,8 4,7 3,7
20 to 24 years old 31,4 24,1 21,1
25 to 39 years old 28,8 18,8 21,6
40 to 54 years old 17,1 16,6 23,0
55 to 64 years old 22,7 25,1 30,9
65 to 79 years old 29,0 29,5 35,2
80 and over 67,9 56,1 59,2
  • 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 5,5 3,0 0,5
20 to 24 years old 24,1 34,5 24,7
25 to 39 years old 57,6 66,5 61,8
40 to 54 years old 67,8 66,9 57,3
55 to 64 years old 65,5 65,2 57,0
65 to 79 years old 59,9 60,2 57,6
80 and over 19,7 25,9 27,0
  • 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 37,6
Civil partnership 2,1
In cohabitation 9,7
Widowed 13,5
Divorced 10,2
Single 26,9
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

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

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

FAM T2 - Households by socioprofessional classification of the reference person in 2019
Number of households % Household population %
Altogether 1 377 100,0 2 623 100,0
Farmer operators 10 0,7 15 0,6
Craftsmen, traders, business leaders 51 3,7 88 3,4
Managers and higher intellectual professions 87 6,3 212 8,1
Middle-level occupations 161 11,7 374 14,3
Services employee 237 17,2 501 19,1
Blue-collar workers 244 17,7 553 21,1
Retirees 537 39,0 784 29,9
Other people with no professional activity 50 3,6 95 3,6
  • 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 0,7
Handicrafters, traders, business leaders 3,7
Managers and higher intellectual professions 6,3
Middle-level occupations 11,7
Services employee 17,2
Blue-collar workers 17,7
Retirees 39,0
Unemployed persons 3,6
  • 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 891 100,0 852 100,0 725 100,0
Couple with children 339 38,1 344 40,4 226 31,2
Single parent 193 21,7 113 13,2 179 24,8
Male single parent 16 1,8 12 1,4 29 4,0
Female single parent 177 19,8 101 11,9 150 20,8
Couple with no children 359 40,3 395 46,4 319 44,0
  • 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 891 100,0 852 100,0 725 100,0
No children 420 47,1 434 50,9 362 50,0
1 child 217 24,3 156 18,3 193 26,6
2 children 180 20,2 188 22,0 121 16,7
3 children 44 5,0 51 6,0 38 5,2
4 children and over 31 3,5 24 2,8 11 1,5
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

Housing in 2019

Municipality of Dieuze (57177)

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 1 163 1 285 1 391 1 433 1 572 1 823 1 667 1 621
Main residences 1 098 1 219 1 289 1 319 1 450 1 641 1 444 1 374
Second homes 9 7 16 21 21 19 33 22
Vacant dwellings 56 59 86 93 101 164 190 225
  • (*) 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 1 823 100,0 1 667 100,0 1 621 100,0
Main residences 1 641 90,0 1 444 86,6 1 374 84,7
Second homes 19 1,0 33 2,0 22 1,4
Vacant dwellings 164 9,0 190 11,4 225 13,9
Houses 741 40,6 741 44,4 724 44,7
Flats 943 51,7 914 54,8 844 52,1
  • 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 1 641 100,0 1 444 100,0 1 374 100,0
1 room 208 12,7 85 5,9 95 6,9
2 rooms 133 8,1 112 7,8 138 10,1
3 rooms 283 17,2 283 19,6 246 17,9
4 rooms 389 23,7 380 26,3 378 27,5
5 rooms and over 628 38,3 584 40,5 515 37,5
  • 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 4,0 4,2 4,1
Houses 5,3 5,2 5,1
Flats 3,3 3,3 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 1,4
Non-over-occupied 98,6
  • 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 1 374 100,0
before 1919 84 6,1
from 1919 to 1945 138 10,1
from 1946 to 1970 535 39,0
from 1971 to 1990 407 29,6
from 1991 to 2005 166 12,1
from 2006 to 2015 44 3,2
  • 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 45 38
from 1919 to 1945 49 89
from 1946 to 1970 212 322
from 1971 to 1990 197 162
from 1991 to 2005 109 56
from 2006 to 2015 37 7
  • 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 1 374 100,0 2 603 4,1 2,1
Less than 2 years 205 14,9 375 3,3 1,8
From 2 to 4 years 286 20,8 582 3,6 1,8
From 5 to 9 years 223 16,3 466 3,9 1,9
10 years and over 659 48,0 1 180 4,6 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 14,9
From 2 to 4 years 20,8
From 5 to 9 years 16,3
From 10 to 19 years 17,2
From 20 to 29 years 10,6
30 years and over 20,1
  • 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 1 641 100,0 1 444 100,0 1 374 100,0 2 603 15,4
Homeowner 623 38,0 618 42,8 654 47,6 1 317 23,4
Tenant 952 58,0 800 55,4 690 50,2 1 221 7,9
(including social sector housing) 284 17,3 203 14,1 153 11,1 282 12,7
Housed for free 66 4,0 26 1,8 31 2,2 65 14,4
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

LOG T8M - Main residences by material comfort

LOG T8M - Main residences by material comfort
2008 % 2013 % 2019 %
Altogether 1 641 100,0 1 444 100,0 1 374 100,0
Bathroom including a shower or a bath 1 565 95,4 1 402 97,1 1 350 98,3
Collective central heating 288 17,5 146 10,1 131 9,5
Individual central heating 1 099 67,0 1 029 71,2 1 005 73,2
Individual electric heating 185 11,3 199 13,8 181 13,2
  • 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 1 641 100,0 1 444 100,0 1 374 100,0
At least one parking spot 1 059 64,5 914 63,3 904 65,8
At least one car 1 309 79,8 1 145 79,3 1 100 80,1
1 car 896 54,6 749 51,8 730 53,2
2 cars and over 413 25,1 396 27,4 370 26,9
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

Education and training in 2019

Municipality of Dieuze (57177)

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 104 77 74,6 65,2 84,3
6 to 10 years old 129 128 99,4 100,0 98,8
11 to 14 years old 142 140 98,7 98,7 98,7
15 to 17 years old 113 105 93,5 92,7 94,5
18 to 24 years old 193 69 35,8 29,7 41,4
25 to 29 years old 117 5 4,3 2,0 6,1
30 years old and over 1 957 15 0,7 0,8 0,7
  • 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 65,5 66,7 74,6
6 to 10 years old 99,5 97,6 99,4
11 to 14 years old 100,0 99,5 98,7
15 to 17 years old 95,1 96,2 93,5
18 to 24 years old 25,3 50,9 35,8
25 to 29 years old 2,0 8,4 4,3
30 years old and over 0,5 0,8 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 2 186 979 1 207
Proportion of graduates in percentage
No diploma or primary education certificate 28,5 21,9 33,9
BEPC brevet des collèges or DNB 4,8 3,9 5,6
CAP, BEP or equivalent 33,9 41,9 27,5
Baccalauréat, brevet professionnel or equivalent 15,9 15,1 16,6
2 years at university 8,2 8,4 8,1
3 to 4 years at university 5,1 4,9 5,2
5 years and over at university 3,5 3,8 3,2
  • 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 34,3 28,5
BEPC brevet des collèges or DNB 6,1 4,8
CAP, BEP or equivalent 28,6 33,9
Baccalauréat, brevet professionnel or equivalent 17,5 15,9
2 years and over at university 13,4 16,8
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2013 vintage.
  • Sources: Insee, RP2008, RP2019, main operations, geography as of 01/01/2022.

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

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

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

Municipality of Dieuze (57177)

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 2 464 2 086 1 666
Labor force in % 77,5 69,2 70,9
 including people in work in % 68,9 59,3 57,9
 including unemployed workers in % 8,6 9,9 13,0
Economically inactive people in % 22,5 30,8 29,1
 including pupils, students or interns in % 8,2 12,7 8,6
 including retirees in % 5,7 8,0 9,9
 including other economically inactive people in % 8,7 10,1 10,6
  • 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 1 666 1 181 70,9 964 57,9
 15 to 24 years old 305 143 46,7 94 30,9
 25 to 54 years old 951 835 87,7 688 72,4
 55 to 64 years old 409 203 49,7 181 44,4
Male 806 597 74,1 494 61,3
 15 to 24 years old 155 82 52,9 56 36,4
 25 to 54 years old 455 425 93,3 359 78,9
 55 to 64 years old 197 91 46,2 79 40,1
Female 859 583 67,9 470 54,7
 15 to 24 years old 150 61 40,3 38 25,3
 25 to 54 years old 497 410 82,6 329 66,3
 55 to 64 years old 212 113 53,0 102 48,3
  • 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 57,9
Unemployed workers 13,0
Retirees 9,9
Pupils, students or interns 8,6
Other economically inactive people 10,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • 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 1 943 1 720 1 457 1 273 1 157 953
including
 Farmer operators 4 4 0 0 10 10
 Handicrafters, traders and business leaders 63 43 39 35 74 68
 Managers and higher intellectual professions 103 103 119 113 114 114
 Middle-level occupations 311 283 351 331 240 227
 Services employee 945 885 575 502 351 279
 Blue-collar workers 502 402 354 292 350 253
  • 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 211 207 216
Unemployment rate in % 11,0 14,3 18,3
Unemployment of the 15-24 aged 12,8 29,0 33,8
Unemployment of the 25-54 aged 10,4 12,7 17,5
Unemployment of the 55-64 aged 11,9 9,4 10,8
  • 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 31,4
BEPC brevet des collèges or DNB 26,5
CAP, BEP or equivalent 18,0
Baccalauréat, brevet professionnel or equivalent 19,0
2 years at university 10,9
3 to 4 years at university 11,1
5 years and over at university 3,5
  • 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 3 300 2 615 2 322
People in work living in the area 1 703 1 247 979
Employment concentration indicator 193,8 209,7 237,3
Activity rate of 15 years old and over in % 60,7 53,0 50,2
  • 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 3 300 100,0 2 615 100,0 2 322 100,0
Employee 3 101 94,0 2 413 92,3 2 118 91,2
 including women 1 300 39,4 1 265 48,4 1 136 48,9
 including part-time workers 532 16,1 478 18,3 393 16,9
Non-employee 199 6,0 202 7,7 205 8,8
 including women 76 2,3 78 3,0 83 3,6
 including part-time workers 20 0,6 26 1,0 26 1,1
  • Sources: Insee, RP2008, RP2013 and RP2019, main workplaces, geography as of 01/01/2022.

EMP T7 - Employment by socioprofessional activity in 2019

EMP T7 - Employment by socioprofessional activity in 2019
Number %
Altogether 2 323 100,0
Farmer operators 5 0,2
Handicrafters, traders, business leaders 113 4,9
Managers and higher intellectual professions 288 12,4
Middle-level occupations 572 24,6
Services employee 775 33,4
Blue-collar workers 570 24,5
  • 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 0,5 0,2 0,2
Handicrafters, traders, business leaders 3,5 3,0 4,9
Managers and higher intellectual professions 9,1 10,2 12,4
Middle-level occupations 20,0 28,1 24,6
Services employee 43,0 33,5 33,4
Blue-collar workers 23,9 25,0 24,5
  • 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 3 354 100,0 2 465 100,0 2 323 100,0 55,6 91,4
Agriculture 20 0,6 33 1,3 51 2,2 31,9 90,2
Industry 658 19,6 523 21,2 436 18,8 47,1 96,5
Construction 75 2,2 80 3,2 52 2,2 35,0 71,3
Wholesale and retail trade/transports/accommodations and food service activities 852 25,4 638 25,9 710 30,5 57,7 86,7
Public administration/education/healthcare/social work 1 750 52,2 1 192 48,3 1 074 46,2 59,8 93,5
  • 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 35,3 0,0
Industry 48,8 0,0
Construction 49,0 0,0
Wholesale and retail trade, transports, accommodations and food service activities 60,8 37,7
Public administration, education, healthcare, social work 60,7 46,6
  • 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 Dieuze (57177)

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 979 100,0 19,9 48,7
Employees 870 88,9 21,0 49,4
Non-employees 109 11,1 10,9 43,9
  • 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 502 100 477 100
Employees 440 87,8 429 90,0
 Tenured personnel and open-ended employment contracts 370 73,7 347 72,7
 Fixed-term employment contracts 49 9,7 51 10,7
 Temporary employment 8 1,5 6 1,2
 Assisted jobs 5 0,9 14 3,0
 Apprentice ship contract - Traineeship 10 1,9 11 2,4
Non-employees 61 12,2 48 10,0
 Independents 27 5,5 32 6,6
 Employers 34 6,7 16 3,4
 Caregivers 0 0,0 0 0,0
  • 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 435 8,0 424 33,9
15 to 24 years old 54 14,2 38 30,4
25 to 54 years old 320 6,6 299 31,1
55 to 64 years old 61 9,9 87 45,2
  • 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 5,0 5,8 8,3
Female 37,1 35,3 34,0
  • Sources : Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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

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

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

ACT T4 - Workplace of workers aged 15 years or over depending on their principal residence zones
2008 % 2013 % 2019 %
Altogether 1 703 100 1 247 100 979 100
working :
in their residential zone 1 224 71,9 794 63,7 581 59,4
in another zone 479 28,1 452 36,3 398 40,6
  • 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 5,7
Walking 17,0
Bicycle 2,1
Motorized two-wheeled vehicles 0,7
Car or truck 71,9
Public transports 2,6
  • 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 Dieuze (57177)

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 54 47 30 52 47 53 77 45
Domiciled births 26 30 21 20 21 20 26 19
  • 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 Dieuze (57177)

REV T1 - Tax households in 2020

REV T1 - Tax households in 2020
2020
Number of tax households 1 275
Number of people in tax households 2 500
Median disposable income (per consumption unit in euros) 20 470
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 17
Less than 30 years old
30 to 39 years old
40 to 49 years old
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 17
Homeowner
Tenant 30
  • 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 60,5
including wages 51,7
including unemployment pensions 2,7
including self-employed income 6,1
Retirement pension or annuity 37,6
Capital income (real estate, financial, others) 8,1
Social benefits 7,5
including child benefit 1,8
including income support 3,9
including housing benefit 1,8
Tax –13,7
  • 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) 20 470
Inter-decile ratio 2,9
1st decile (in euros) 11 570
9th decile (in euros) 33 030
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (FiLoSoFi) in geography as of 01/01/2022.

Wages and work income in 2020

Municipality of Dieuze (57177)

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 12,9 11,6 13,8
Managerial staff* 21,4 18,6 22,5
Middle-level occupations 14,9 13,4 16,2
Services employee 11,3 10,5 12,9
Blue-collar workers 11,7 10,7 12,0
  • * Managerial staff, higher intellectual professions and salaried business leaders.
  • Scope: Private sector and public enterprises excluding agriculture, socioprofessional activity
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

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

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

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

SAL G3 - Average net hourly wage (in euros) difference between male and female by socioprofessional category in 2020
Difference (in %)
Altogether –15,6
Managerial staff* –17,2
Middle-level occupations –17,4
Services employee –18,8
Blue-collar workers –10,8
  • * 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 10,2 10,2
26 to 50 years old 12,6 11,8 13,1
50 years old or over 14,3 11,9 16,1
  • 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

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 0,3
26 to 50 years old –10,5
50 years old and over –26,5
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2022.

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

  • 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 Dieuze (57177)

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 148 100,0 5 111 32
Agriculture, forestry and fishing* 3 2,0 0 2 1
Industrial economy* 16 10,8 1 7 8
Building industry* 8 5,4 2 5 1
Trade, transport, various services* 83 56,1 1 71 11
including trade and car repair 31 20,9 1 24 6
Administration publique, enseignement, santé, action sociale 38 25,7 1 26 11
  • 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 1 806 100,0 330 1 476
Agriculture, forestry and fishing 35 1,9 4 31
Industrial economy 492 27,2 29 463
Building industry 46 2,5 19 27
Trade, transport, various services 467 25,9 206 261
including trade and car repair 207 11,5 73 134
Administration publique, enseignement, santé, action sociale 766 42,4 72 694
  • 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* 25,7
Trade, transport, various services* 56,1
Building industry* 5,4
Industrial economy* 10,8
Agriculture, forestry and fishing* 2,0
  • 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 21,6
1 to 10 employee(s) 75,0
0 employee 3,4
  • 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 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 148 100,0 1 806 100,0
Productive sphere* 36 24,3 551 30,5
of which public domain* 0 0,0 0 0,0
Presential sphere 112 75,7 1 255 69,5
of which public domain* 13 8,8 534 29,6
  • 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 103 100,0
Employers of childminders 35 34,0
Employers of other employees 68 66,0
  • 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 Dieuze (57177)

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 22 100,0 18 81,8
Industry 2 9,1 2 100,0
Construction 4 18,2 3 75,0
Wholesale and retail trade/transports/accommodations and food service activities 4 18,2 3 75,0
Information/communication 1 4,5 1 100,0
Finance and insurance activities 0 0,0 0
Real estate activities 1 4,5 1 100,0
Professional/scientific/technical activites/administrative and support service activities 2 9,1 1 50,0
Public administration/education/healthcare/social work 3 13,6 3 100,0
Other service activities 5 22,7 4 80,0
  • 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 13 20 17 14 11 13 19 12 16 22
Sole proprietorship 12 15 13 10 8 6 11 7 11 18
  • 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 267 100,0
Industry 22 8,2
Construction 25 9,4
Wholesale and retail trade/transports/accommodations and food service activities 86 32,2
Information/communication 1 0,4
Finance and insurance activities 8 3,0
Real estate activities 8 3,0
Professional/scientific/technical activites/administrative and support service activities 22 8,2
Public administration/education/human health/social work 58 21,7
Other service activities 37 13,9
  • 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 24 100,0
Industry 2 8,3
Construction 4 16,7
Wholesale and retail trade/transports/accommodations and food service activities 5 20,8
Information/communication 1 4,2
Finance and insurance activities 0 0,0
Real estate activities 1 4,2
Professional/scientific/technical activites/administrative and support service activities 2 8,3
Public administration/education/healthcare/social work 2 8,3
Other service activities by the number of business creations including free lancers 7 29,2
  • 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 15 27 23 21 14 17 22 15 19 24
  • 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 318 100,0
Industry 27 8,5
Construction 26 8,2
Wholesale and retail trade/transports/accommodations and food service activities 103 32,4
Information/communication 2 0,6
Finance and insurance activities 13 4,1
Real estate activities 8 2,5
Professional/scientific/technical activites/administrative and support service activities 27 8,5
Public administration/education/human health/social work 73 23,0
Other service activities 39 12,3
  • 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 Dieuze (57177)

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.