données locales

Paru le : 13/12/2024

Full set of local data Living zone 2022 of Mourmelon-le-Grand (51388)

Detailed figures
Paru le :Paru le13/12/2024
- December 2024

The presented data are disseminated using 2023 or 2024 geography, depending on the source. For reasons of statistical confidentiality, some indicators may not be provided.

Growth and structure of the population in 2021

Living zone 2022 of Mourmelon-le-Grand (51388)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2010 % 2015 % 2021 %
Altogether 9 280 100,0 9 696 100,0 9 562 100,0
0 to 14 years old 2 091 22,5 2 264 23,4 2 104 22,0
15 to 29 years old 2 146 23,1 2 002 20,6 2 116 22,1
30 to 44 years old 2 202 23,7 2 334 24,1 2 090 21,9
45 to 59 years old 1 588 17,1 1 638 16,9 1 640 17,2
60 to 74 years old 767 8,3 957 9,9 1 151 12,0
75 and over 485 5,2 500 5,2 461 4,8
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2010 2015 2021
0 to 14 years old 22,5 23,4 22,0
15 to 29 years old 23,1 20,6 22,1
30 to 44 years old 23,7 24,1 21,9
45 to 59 years old 17,1 16,9 17,2
60 to 74 years old 8,3 9,9 12,0
75 and over 5,2 5,2 4,8
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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 2010 2015 2021
Population 6 969 6 899 6 706 7 786 8 235 9 280 9 696 9 562
Average density (inhab / km²) 31,6 31,3 30,4 35,3 37,4 42,1 44,0 43,4
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2024.
  • Sources: Insee, RP1967 to 1999 counts, RP2010 to RP2021 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
Demographic indicators 1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2010 2010 to 2015 2015 to 2021
Average annual change in population in % –0,1 –0,4 1,9 0,6 1,1 0,9 –0,2
due to the natural balance in % 1,2 0,9 1,2 1,1 1,2 1,0 0,7
due to the apparent balance of inflows and outflows in % –1,4 –1,3 0,6 –0,4 –0,1 –0,1 –0,9
Natality rate (‰) 20,3 17,1 19,5 15,9 16,6 14,9 11,7
Mortality rate (‰) 8,1 8,5 7,0 5,4 4,6 4,9 4,8
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2024
  • Sources: Insee, RP1968 to 1999 counts, RP2010 to RP2021 main holdings - Civil status

POP T3 - Population by age and sex in 2021

POP T3 - Population by age and sex in 2021
Age Male % Female %
Altogether 5 130 100,0 4 432 100,0
0 to 14 years old 1 056 20,6 1 048 23,6
15 to 29 years old 1 394 27,2 721 16,3
30 to 44 years old 1 092 21,3 998 22,5
45 to 59 years old 838 16,3 802 18,1
60 to 74 years old 560 10,9 591 13,3
75 to 89 years old 167 3,3 236 5,3
90 years and over 21 0,4 36 0,8
0 to 19 years old 1 423 27,7 1 320 29,8
20 to 64 years old 3 216 62,7 2 492 56,2
65 and over 491 9,6 621 14,0
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
Home adress 2015 % 2021 %
People one year old and over, previously living: 9 564 100,0 9 435 100,0
In the same house 8 466 88,5 8 440 89,5
In another house in the same town 304 3,2 223 2,4
In another town 794 8,3 772 8,2
  • Source: Insee, RP2015, RP2021 main operations, geography as of 01/01/2024.

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 19,8 80,2
15 to 24 years old 22,5 77,5
25 to 54 years old 23,0 77,0
55 years old and over 29,3 70,7
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

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

  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

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

POP T5 - Population aged 15 years and over by socioprofessional classification
socioprofessional classification 2010 % 2015 % 2021 %
Altogether 7 163 100,0 7 452 100,0 7 455 100,0
Farmer operators 125 1,7 107 1,4 61 0,8
Craftsmen, traders, business leaders 168 2,3 180 2,4 241 3,2
Managers and higher intellectual professions 420 5,9 355 4,8 466 6,3
Middle-level occupations 963 13,4 1 023 13,7 1 199 16,1
Services employee 2 086 29,1 2 489 33,4 2 185 29,3
Blue-collar workers 1 290 18,0 960 12,9 1 001 13,4
Retirees 1 102 15,4 1 373 18,4 1 340 18,0
Other people with no professional activity 1 009 14,1 965 13,0 962 12,9
  • Sources: Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2021

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2021
socioprofessional classification Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 3 996 3 459 100,0 100,0 100,0
Farmer operators 50 10 0,0 1,2 0,7
Craftsmen, traders, business leaders 154 88 1,8 4,3 2,2
Managers and higher intellectual professions 291 175 0,0 9,7 4,0
Middle-level occupations 610 589 6,4 25,4 4,9
Services employee 1 069 1 116 38,8 36,1 9,1
Blue-collar workers 833 168 13,5 17,5 5,4
Retirees 633 707 0,0 0,0 66,5
Other people without professional activity 357 605 39,5 5,9 7,2
  • Source: Insee, RP2021 additional operation, geography as of 01/01/2024.

Couples – Family – Households in 2021

Living zone 2022 of Mourmelon-le-Grand (51388)

FAM T1 - Households by composition

FAM T1 - Households by composition
household type Number of households Household population
2010 % 2015 % 2021 % 2010 2015 2021
Altogether 3 212 100,0 3 331 100,0 3 378 100,0 8 453 8 801 8 718
One-person households (male and female) 745 23,2 730 21,9 848 25,1 745 730 848
 Single Male 397 12,4 307 9,2 385 11,4 397 307 385
 Single Female 348 10,8 423 12,7 463 13,7 348 423 463
Other households without families 35 1,1 48 1,5 34 1,0 88 114 68
Family households : 2 432 75,7 2 553 76,6 2 496 73,9 7 620 7 957 7 802
 Couple without children 855 26,6 903 27,1 866 25,6 1 747 1 848 1 771
 Couple with children 1 368 42,6 1 370 41,1 1 330 39,4 5 302 5 384 5 230
 Single parent 208 6,5 279 8,4 300 8,9 571 726 800
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

FAM T1bis - The detailed composition of single-family households.

FAM T1bis - The detailed composition of single-family households.
Single-family households Number of households % Household population
Altogether 2 480 100,0 7 703
Couple without children 861 34,5 1 742
Couple with children 1 325 53,1 5 204
Couples with only children of the couple 1 182 47,3 4 605
Couples with at least one child of only one member of the couple 143 5,7 599
Single-parent family 294 11,8 757
Single man with child(ren) 79 3,2 195
Single woman with child(ren) 215 8,6 562
  • Sources : Insee, RP2021, additional operations, geography as of 01/01/2024.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2010 2015 2021
Average number of occupants per main residence 3,47 3,28 2,92 2,94 2,94 2,63 2,64 2,59
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2024.
  • Sources : Insee, RP1967 to 1999 counts RP2010 to RP2021 main holdings

FAM G1 - Growth estimates of 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 01/01/2024.
  • Sources : Insee, RP1967 to 1999 counts RP2010 to RP2021 main holdings

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households
2010 2015 2021
15 to 19 years old 0,7 0,0 0,8
20 to 24 years old 11,9 7,2 10,1
25 to 39 years old 8,0 5,1 7,3
40 to 54 years old 8,5 8,5 7,9
55 to 64 years old 16,6 16,1 16,1
65 to 79 years old 22,0 22,1 26,7
80 and above 45,2 45,4 53,8
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FAM G2 - Proportion of one-person households aged 15 years or above, by age – population of households

  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FAM G3 - Proportion of couple families aged 15 years or over

FAM G3 - Proportion of couple families aged 15 years or over
2010 2015 2021
15 to 19 years old 2,6 1,5 1,4
20 to 24 years old 22,9 25,6 14,9
25 to 39 years old 76,6 76,1 73,4
40 to 54 years old 83,0 82,5 83,6
55 to 64 years old 81,0 78,4 80,3
65 to 79 years old 72,8 74,3 72,2
80 and above 45,7 45,8 43,1
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FAM G3 - Proportion of couple families aged 15 years or over

  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FAM G4 - Marital status of the population aged 15 years or over in 2021

FAM G4 - Marital status of the population aged 15 years or over in 2021
%
Married 44,3
Civil partnership 8,2
In cohabitation 11,1
Widowed 4,3
Divorced 3,8
Single 28,3
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

FAM G4 - Marital status of the population aged 15 years or over in 2021

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

FAM T2 - Households by socio-economic classification of the reference person in 2021

FAM T2 - Households by socio-economic classification of the reference person in 2021
Number of households % Household population %
Altogether 3 378 100,0 8 718 100,0
Farmer operators 50 1,5 151 1,7
Craftsmen, traders, business leaders 138 4,1 458 5,3
Managers and higher intellectual professions 300 8,9 915 10,5
Intermediate professions 625 18,5 1 835 21,0
Employees 797 23,6 2 292 26,3
Workers 556 16,4 1 557 17,9
Retirees 797 23,6 1 334 15,3
Other people without professional activity 116 3,4 177 2,0
  • Sources : Insee, RP2021 additional operation, geography as of 01/01/2024.

FAM G5 - Households by socio-economic classification of the reference person in 2021

FAM G5 - Households by socio-economic classification of the reference person in 2021
%
Farmer operators 1,5
Handicrafters, traders, business leaders 4,1
Managers and higher intellectual professions 8,9
Intermediate professions 18,5
Employees 23,6
Workers 16,4
Retirees 23,6
Unemployed persons 3,4
  • Sources : Insee, RP2021 additional operation, geography as of 01/01/2024.

FAM G5 - Households by socio-economic classification of the reference person in 2021

  • Sources : Insee, RP2021 additional operation, geography as of 01/01/2024.

FAM T3 - Families composition

FAM T3 - Families composition
2010 % 2015 % 2021 %
Altogether 2 444 100,0 2 562 100,0 2 512 100,0
Couple with children 1 376 56,3 1 370 53,5 1 330 52,9
Single parent 208 8,5 288 11,3 311 12,4
 Male single parent 35 1,4 53 2,1 74 2,9
 Female single parent 174 7,1 235 9,2 237 9,5
Couple without children 859 35,2 903 35,3 871 34,7
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

FAM T3bis - Detailed composition of families composed of couples with child(ren)

FAM T3bis - Detailed composition of families composed of couples with child(ren)
Couple with child(ren) 2021 %
Altogether 1 330 100,0
Traditional family 1 187 89,3
Blended family 143 10,7
  • Sources : Insee, RP2021, additional operations, geography as of 01/01/2024.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
2010 % 2015 % 2021 %
Altogether 2 444 100,0 2 562 100,0 2 512 100,0
Without any 960 39,3 1 009 39,4 977 38,9
1 child 576 23,6 595 23,2 563 22,4
2 children 614 25,1 650 25,4 654 26,0
3 children 248 10,1 228 8,9 238 9,5
4 children or above 47 1,9 80 3,1 79 3,1
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

Housing in 2021

Living zone 2022 of Mourmelon-le-Grand (51388)

LOG T1 - Growth estimates of the number of housings by category since 1968

LOG T1 - Growth estimates of the number of housings by category since 1968
1968(*) 1975(*) 1982 1990 1999 2010 2015 2021
Altogether 2 083 2 227 2 564 2 817 2 865 3 446 3 650 3 726
Principal residences 1 905 2 023 2 268 2 590 2 690 3 211 3 340 3 373
Secondary residences 27 56 55 56 61 49 50 55
Vacant accommodations 151 148 241 171 114 186 260 298
  • (*) 1967 and 1974 for the overseas departments
  • Sources : Insee, RP1967 to 1999 counts, RP2010 to RP2021 main holdings.

LOG T2 - Types and categories of housings

LOG T2 - Types and categories of housings
2010 % 2015 % 2021 %
Altogether 3 446 100,0 3 650 100,0 3 726 100,0
Principal residence 3 211 93,2 3 340 91,5 3 373 90,5
Secondary residences 49 1,4 50 1,4 55 1,5
Vacant accommodations 186 5,4 260 7,1 298 8,0
houses 2 707 78,5 2 996 82,1 3 135 84,1
flats 658 19,1 645 17,7 569 15,3
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T3 - Principal residences by number of rooms

LOG T3 - Principal residences by number of rooms
2010 % 2015 % 2021 %
Altogether 3 211 100,0 3 340 100,0 3 373 100,0
1 room 98 3,1 27 0,8 12 0,4
2 rooms 123 3,8 113 3,4 102 3,0
3 rooms 382 11,9 415 12,4 377 11,2
4 rooms 769 24,0 780 23,3 799 23,7
5 rooms or above 1 838 57,2 2 005 60,0 2 083 61,8
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T4 - Principal residences average number of rooms

LOG T4 - Principal residences average number of rooms
2010 2015 2021
All main residences 4,8 4,9 5,0
House 5,2 5,2 5,2
Flat 3,4 3,5 3,4
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T4bis - Main residences by over-occupation (except one room dwellings occupied by one person)

LOG T4bis - Main residences by over-occupation (except one room dwellings occupied by one person)
2010 2015 2021
Over-occupied 0,7 0,8 1,1
Non-over-occupied 99,3 99,2 98,9
  • Sources: Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

LOG T5 - Principal residences in 2021 by completion period

LOG T5 - Principal residences in 2021 by completion period
Number %
Principal residences build before 2019 3 319 100,0
before 1919 293 8,8
from 1919 to 1945 358 10,8
from 1946 to 1970 442 13,3
from 1971 to 1990 1 049 31,6
from 1991 to 2005 665 20,0
from 2006 to 2015 512 15,4
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G1 - Principal residences in 2021 by completion period and housing category

LOG G1 - Principal residences in 2021 by completion period and housing category
House Flat
before 1919 273 19
from 1919 to 1945 333 24
from 1946 to 1970 329 109
from 1971 to 1990 869 178
from 1991 to 2005 540 121
from 2006 to 2018 488 22
  • Main residences built before 2019.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G1 - Principal residences in 2021 by completion period and housing category

  • Main residences built before 2019.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG T6 - Housing tenure of the main residences in 2021

LOG T6 - Housing tenure of the main residences in 2021
Number of households Share of households in % Household population Average number of pieces per
lodging person
Altogether 3 373 100,0 8 720 5,0 1,9
Less than 2 years ago 353 10,5 983 4,6 1,7
From 2 to 4 years ago 676 20,0 1 887 4,6 1,7
From 5 to 9 years ago 606 18,0 1 808 5,0 1,7
10 years ago or above 1 738 51,5 4 042 5,2 2,2
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G2 - Households’ Housing tenure in 2021

LOG G2 - Households’ Housing tenure in 2021
Share of households in%
Less than 2 years ago 10,5
From 2 to 4 years ago 20,0
From 5 to 9 years ago 18,0
From 10 to 19 years ago 21,8
From 20 to 29 years ago 10,9
30 years ago or above 18,8
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG G2 - Households’ Housing tenure in 2021

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

LOG T7 - Principal residences by occupational status

LOG T7 - Principal residences by occupational status
2010 2015 2021
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 3 211 100,0 3 340 100,0 3 373 100,0 8 720 15,6
Homeowner 1 855 57,8 2 017 60,4 2 151 63,8 5 630 19,6
Tenant 1 251 39,0 1 274 38,1 1 181 35,0 3 001 8,2
(including public tenants) 589 18,3 650 19,5 574 17,0 1 340 10,3
Housed for free 105 3,3 49 1,5 42 1,2 88 13,7
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T8M - Principal residences by material comfort

LOG T8M - Principal residences by material comfort
2010 % 2015 % 2021 %
Altogether 3 211 100,0 3 340 100,0 3 373 100,0
Bathroom including a shower or a bath 3 154 98,2 3 287 98,4 3 278 97,2
Collective central heating 223 6,9 148 4,4 135 4,0
Individual central heating 1 292 40,2 1 305 39,1 1 281 38,0
Individual electric heating 1 147 35,7 1 229 36,8 1 220 36,2
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2010 % 2015 % 2021 %
Altogether 3 211 100,0 3 340 100,0 3 373 100,0
At least one parking spot 2 568 80,0 2 728 81,7 2 746 81,4
At least one car 2 916 90,8 3 072 92,0 3 124 92,6
1 car 1 355 42,2 1 352 40,5 1 342 39,8
2 cars or above 1 561 48,6 1 720 51,5 1 782 52,8
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

Education and training in 2021

Living zone 2022 of Mourmelon-le-Grand (51388)

FOR T1 - Enrollment by age and sex in 2021

FOR T1 - Enrollment by age and sex in 2021
Age Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 537 383 71,4 72,5 70,3
6 to 10 years old 736 716 97,3 98,1 96,5
11 to 14 years old 585 575 98,4 98,4 98,3
15 to 17 years old 411 392 95,3 93,7 97,1
18 to 24 years old 1 056 236 22,3 17,0 37,3
25 to 29 years old 649 19 2,9 2,1 4,2
30 years old and over 5 343 32 0,6 0,5 0,7
  • Source: Insee, RP2021 principal exploitation, geography at the 01/01/2024.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
Age 2010 2015 2021
2 to 5 years old 72,8 68,2 71,4
6 to 10 years old 99,3 97,2 97,3
11 to 14 years old 99,6 99,1 98,4
15 to 17 years old 93,2 96,8 95,3
18 to 24 years old 35,8 31,8 22,3
25 to 29 years old 1,9 2,0 2,9
30 years old and over 0,6 0,6 0,6
  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FOR G1 - Enrollment rate by age (in %)

  • Sources: Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2020

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2020
Diploma Altogether Male Female
Proportion of unschooled aged 15 years or above 6 781 3 721 3 059
Proportion of graduates in percentage
No diploma or primary education certificate 18,5 17,0 20,4
BEPC brevet des collèges or DNB 5,7 5,3 6,1
CAP, BEP or equivalent 29,0 34,1 22,7
Baccalauréat, brevet professionnel or equivalent 23,0 23,8 22,1
2 years at university 12,2 11,0 13,5
3 to 4 years at university 6,9 4,8 9,5
5 years and over at university 4,7 3,9 5,7
  • Source: Insee, RP2021 main operation, geography as of 01/01/2024.

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 %)
2010 2021
No diploma or primary education certificate 26,7 18,5
BEPC brevet des collèges or DNB 6,8 5,7
CAP, BEP or equivalent 29,5 29,0
Baccalauréat, brevet professionnel or equivalent 19,6 23,0
2 years and over at university 17,3 23,8
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2015 vintage.
  • Sources: Insee, RP2010, RP2021, main operations, geography as of 01/01/2024.

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 2015 vintage.
  • Sources: Insee, RP2010, RP2021, main operations, geography as of 01/01/2024.

Active population, employment and unemployment within the meaning of the census in 2021

Living zone 2022 of Mourmelon-le-Grand (51388)

EMP T1 - Population aged 15 to 64 by economic activity

EMP T1 - Population aged 15 to 64 by economic activity
Economic activity 2010 2015 2021
Altogether 6 294 6 367 6 346
Working age adult in % 79,2 81,8 81,5
 including working age adults with a job in % 73,4 75,2 76,0
 including unemployed workers in % 5,8 6,7 5,5
Economically inactive people in % 20,8 18,2 18,5
 including pupils, students or interns in % 6,9 7,1 8,0
 including retirees in % 5,9 4,9 5,2
 including other economically inactive people in % 8,1 6,1 5,3
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2021

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2021
Sex and age Population Active people Activity rate in % Working people Employment rate in %
Altogether 6 346 5 170 81,5 4 820 76,0
 15 to 24 years old 1 467 921 62,8 839 57,2
 25 to 54 years old 3 890 3 684 94,7 3 468 89,1
 55 to 64 years old 989 565 57,1 514 52,0
Male 3 583 3 060 85,4 2 920 81,5
 15 to 24 years old 990 715 72,3 668 67,5
 25 to 54 years old 2 096 2 057 98,2 1 985 94,7
 55 to 64 years old 497 287 57,7 267 53,7
Female 2 764 2 110 76,4 1 900 68,8
 15 to 24 years old 477 206 43,1 170 35,7
 25 to 54 years old 1 795 1 626 90,6 1 482 82,6
 55 to 64 years old 492 278 56,5 247 50,2
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP G1 - Population aged 15 to 64 by economic activity category in 2021

EMP G1 - Population aged 15 to 64 by economic activity category in 2021
Population (%)
Working age adults who have a job 76,0
Unemployed workers 5,5
Retirees 5,2
Pupils, students or interns 8,0
Other economically inactive people 5,3
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP G1 - Population aged 15 to 64 by economic activity category in 2021

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP T3 - Population aged 15 to 64 by socio-economic classification

EMP T3 - Population aged 15 to 64 by socio-economic classification
Socio-economic classification 2010 including working people 2015 including working people 2021 including working people
Altogether 5 053 4 707 5 135 4 677 5 144 4 869
including nd nd nd nd nd nd
 Farmer operators 116 116 97 97 61 61
 Handicrafters, traders and business leaders 168 164 180 175 232 226
 Managers and higher intellectual professions 420 400 355 350 450 425
 Intermediate professions 963 940 1 023 960 1 194 1 169
 Employees 2 081 1 939 2 489 2 267 2 185 2 071
 Workers 1 282 1 147 960 828 997 918
  • Sources : Insee, RP2010, RP2015 and RP2021, additional operations, geography as of 01/01/2024.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
Number of unemployed workers and unemployment rate 2010 2015 2021
Number of unemployed workers 368 424 350
Unemployment rate in % 7,4 8,1 6,8
Unemployment of the 15-24 aged 12,7 12,6 9,0
Unemployment of the 25-54 aged 6,2 7,0 5,9
Unemployment of the 55-64 aged 5,2 9,7 9,0
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation
Taux de chômage en %
No diploma or primary education certificate 10,8
BEPC brevet des collèges or DNB 8,4
CAP, BEP or equivalent 7,0
Baccalauréat, brevet professionnel or equivalent 6,2
2 years at university 6,3
3 to 4 years at university 3,3
5 years or more at university 5,2
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP G2 - Unemployment rate of the 15-64 aged population by level of graduation

  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
Employment activity 2010 2015 2021
Number of jobs in the area 3 847 4 604 4 023
Working age adult living in the area 4 642 4 813 4 854
Occupational concentration by industry 82,9 95,6 82,9
employment rate of 15 years old or above in % 69,7 70,5 69,7
  • The employment concentration indicator is equal to the number of jobs in the zone per 100 active persons with a job residing in the zone.
  • Sources : Insee, RP2010, RP2015 and RP2021, main holdings, place of residence and place of work, geography as of 01/01/2024.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
Working status 2010 % 2015 % 2021 %
Altogether 3 847 100,0 4 604 100,0 4 023 100,0
Employee 3 501 91,0 4 259 92,5 3 651 90,8
 including women 1 000 26,0 1 029 22,3 985 24,5
 including partial time jobs 387 10,1 397 8,6 329 8,2
Non-employee 346 9,0 345 7,5 372 9,2
 including women 117 3,0 118 2,6 143 3,6
 including partial time jobs 38 1,0 41 0,9 41 1,0
  • Sources : Insee, RP2010, RP2015 and RP2021, main workplaces, geography as of 01/01/2024.

EMP T7 - Employment by socio-economic activity in 2021

EMP T7 - Employment by socio-economic activity in 2021
Socio-economic activity Number %
Altogether 4 140 100,0
Farmer operators 55 1,3
Handicrafters, traders, business leaders 181 4,4
Managers and higher intellectual professions 310 7,5
Intermediate professions 709 17,1
Employees 2 210 53,4
Workers 675 16,3
  • Source : Insee, RP2021 additional operation at the workplace, geography as of 01/01/2024.

EMP G3 - Employment by socio-economic activity

EMP G3 - Employment by socio-economic activity
2010 2015 2021
Farmer operators 3,3 2,1 1,3
Handicrafters, traders, business leaders 4,0 3,4 4,4
Managers and higher intellectual professions 8,3 6,4 7,5
Intermediate professions 15,5 15,4 17,1
Employees 47,2 56,8 53,4
Workers 21,8 15,9 16,3
  • Sources: Insee, RP2010, RP2015 and RP2021, additional work place of work, geography as of 01/01/2024.

EMP G3 - Employment by socio-economic activity

  • Sources: Insee, RP2010, RP2015 and RP2021, additional work place of work, geography as of 01/01/2024.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
Economic sector 2010 2015 2021
Number % Number % Number % including women in % including employees %
Altogether 3 791 100,0 4 664 100,0 4 140 100,0 29,0 93,2
Agriculture 149 3,9 186 4,0 93 2,3 21,6 43,2
Industry 111 2,9 196 4,2 168 4,1 15,7 93,5
Construction 100 2,6 135 2,9 207 5,0 7,5 60,5
Wholesale and retail trade/transports/accommodations and food service activities 631 16,6 534 11,5 474 11,4 61,0 76,9
Public administration/education/human health/social work 2 800 73,9 3 613 77,5 3 198 77,2 26,6 99,2
  • Sources : Insee, RP2010, RP2015 and RP2021, additional work place of work, geography as of 01/01/2024.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2021

EMP G4 - Feminisation rate of employment by status and economic sectors in 2021
Employees Non-employees
Agriculture 24,1 19,8
Industry 13,7 45,4
Construction 8,1 6,6
Wholesale and retail trade, transports, accommodations and food service activities 60,2 63,7
Public administration, education, human health, social work 26,3 59,6
  • Source : Insee, RP2021 additional operation at the workplace, geography as of 01/01/2024.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2021

  • Source : Insee, RP2021 additional operation at the workplace, geography as of 01/01/2024.

Characteristics of employment in the sense of the census in 2021

Living zone 2022 of Mourmelon-le-Grand (51388)

ACT T1 - Population aged 15 years or over having a job by status in 2021

ACT T1 - Population aged 15 years or over having a job by status in 2021
Employment status Number % of which % part-time of which % women
Altogether 4 852 100,0 12,1 39,4
Employees 4 467 92,1 12,1 39,4
Non-employees 385 7,9 12,6 39,8
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2021

ACT T2 - Status and employment conditions of 15 years or over by sex in 2021
Employment status and conditions Male % Female %
Altogether 2 938 100 1 914 100
Employees 2 706 92,1 1 760 92,0
 Tenured personnel and open-ended employment contracts 1 880 64,0 1 450 75,8
 Fixed-term employment contracts 725 24,7 244 12,7
 Temporary employment 24 0,8 19 1,0
 Assisted jobs 3 0,1 6 0,3
 Apprentice ship contract - Traineeship 74 2,5 41 2,2
Non-employees 232 7,9 153 8,0
 Independents 117 4,0 103 5,4
 Employers 114 3,9 47 2,4
 Caregivers 1 0,0 4 0,2
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2021

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2021
Age Male of which% part-time Female of which% part-time
Altogether 2 695 3,0 1 753 25,6
15 to 24 years old 660 3,4 166 25,7
25 to 54 years old 1 828 2,2 1 362 24,0
55 to 64 years old 207 8,7 224 35,5
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

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
Sex 2010 2015 2021
Male 3,0 2,7 3,2
Female 31,5 30,3 25,8
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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

  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

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
Work Area 2010 % 2015 % 2021 %
Altogether 4 640 100 4 812 100 4 852 100
working :
in their residential zone 1 902 41,0 2 195 45,6 1 809 37,3
in another zone 2 738 59,0 2 617 54,4 3 043 62,7
  • Sources : Insee, RP2010, RP2015 and RP2021, main operations, geography as of 01/01/2024.

ACT G2 - Proportion of transports used to go to work in 2021

ACT G2 - Proportion of transports used to go to work in 2021
Mode of transport Percentage
None 6,8
Walking 8,8
Bicycle 3,8
Motorized two-wheeled vehicles 0,6
Car or truck 74,1
Public transports 5,8
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

ACT G2 - Proportion of transports used to go to work in 2021

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2021 main operation, geography as of 01/01/2024.

Births and Deaths of people with usual residence in the area, 2014-2022

Living zone 2022 of Mourmelon-le-Grand (51388)

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 2022
Domiciled deaths 41 55 49 53 40 43 40 54 57
Domiciled births 136 141 108 97 102 106 120 113 120
  • Source: Insee, civil status statistics in geography as of 01/01/2023.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2023.

Household income and poverty in 2021

Living zone 2022 of Mourmelon-le-Grand (51388)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 3 351
Number of people in tax households 8 631
Median disposable income (per consumption unit in euros) 23 090
Share of actually taxed tax households (in %) 52,3
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

REV G1 - Poverty rate by age range of the reference fiscal person in 2021

REV G1 - Poverty rate by age range of the reference fiscal person in 2021
Rate in %
Altogether 9,7
Less than 30 years old
30 to 39 years old 12,2
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 01/01/2024.

REV G1 - Poverty rate by age range of the reference fiscal person in 2021

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021
Rate in %
Altogether 9,7
Homeowner 5,0
Tenant 19,0
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
Composition of disposable income share in %
Altogether 100,0
Work income 80,7
including wages 73,2
including unemployment pensions 2,3
including self-employed income 5,2
Retirement pension or annuity 22,6
Capital income (real estate, financial, others) 6,0
Social benefits 4,8
including child benefit 2,7
including income support 1,4
including housing benefit 0,7
Tax –14,1
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
Distribution indicators 2021
Median disposable income (per consumption unit in euros) 23 090
Inter-decile ratio 2,6
1st decile (in euros) 14 020
9th decile (in euros) 36 260
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2024.

Salaries and earned income in 2022

Living zone 2022 of Mourmelon-le-Grand (51388)

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022
Altogether Female Male
Altogether 15,0 13,8 16,0
Managerial staff * 24,4 22,0 25,7
Intermediate professions 15,8 14,8 16,7
Employees 12,0 11,9 12,4
Workers 13,1 11,7 13,5
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2022

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022
Difference (in%)
Altogether –13,5
Managerial staff * –14,3
Intermediate professions –11,4
Employees –3,7
Workers –13,3
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2022

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL T1 - Net average hourly wage (in euros) by age in 2022

SAL T1 - Net average hourly wage (in euros) by age in 2022
Age Altogether Female Male
15 to 25 years old 10,8 10,5 11,0
26 to 50 years old 15,1 13,9 16,0
50 years old or above 16,5 14,7 17,9
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022
Gender pay gap (in%)
15 to 25 years old –4,7
26 to 50 years old –12,8
50 years old or above –17,7
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2022

  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2024.

Business and establishment set-ups in 2022

Living zone 2022 of Mourmelon-le-Grand (51388)

DEN T1 - Business set-ups by sector of activity in 2022

DEN T1 - Business set-ups by sector of activity in 2022
Company set-ups Of which sole proprietorships
Number % Number %
Altogether 73 100,0 61 83,6
Industry 12 16,4 10 83,3
Construction 3 4,1 3 100,0
Wholesale and retail trade/transports/accommodations and food service activities 17 23,3 14 82,4
Information/communication 1 1,4 1 100,0
Finance and insurance activities 0 0,0 0
Real estate activities 2 2,7 0 0,0
Professional/scientific/technical activites/administrative and support service activities 19 26,0 14 73,7
Public administration/education/healthcare/social work 5 6,8 5 100,0
Other service activities 14 19,2 14 100,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2024.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Altogether 40 51 44 41 56 47 35 76 83 73
Sole proprietorship 33 45 33 34 42 36 25 63 67 61
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN T3 - Number of economically active legal units by economic sector in 2021

DEN T3 - Number of economically active legal units by economic sector in 2021
Number %
Altogether 406 100,0
Industry 38 9,4
Construction 63 15,5
Wholesale and retail trade/transports/accommodations and food service activities 109 26,8
Information/communication 5 1,2
Finance and insurance activities 26 6,4
Real estate activities 25 6,2
Professional/scientific/technical activites/administrative and support service activities 42 10,3
Public administration/education/human health/social work 55 13,5
Other service activities 43 10,6
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN T4 - Business set-ups by economic sectors in 2022

DEN T4 - Business set-ups by economic sectors in 2022
Altogether %
Altogether 80 100,0
Industry 16 20,0
Construction 3 3,8
Wholesale and retail trade/transports/accommodations and food service activities 18 22,5
Information/communication 1 1,3
Finance and insurance activities 0 0,0
Real estate activities 2 2,5
Professional/scientific/technical activites/administrative and support service activities 21 26,3
Public administration/education/healthcare/social work 5 6,3
Other service activities by the number of business creations including free lancers 14 17,5
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Establishment set-ups 48 54 50 38 60 53 41 84 90 80
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN G3 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN T5 - Number of economically active legal units by economic sector in 2021

DEN T5 - Number of economically active legal units by economic sector in 2021
Number %
Altogether 442 100,0
Industry 42 9,5
Construction 65 14,7
Wholesale and retail trade/transports/accommodations and food service activities 119 26,9
Information/communication 5 1,1
Finance and insurance activities 29 6,6
Real estate activities 25 5,7
Professional/scientific/technical activites/administrative and support service activities 48 10,9
Public administration/education/human health/social work 64 14,5
Other service activities 45 10,2
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

Tourism in 2024

Living zone 2022 of Mourmelon-le-Grand (51388)

TOU T1 - Number and capacity of hotels on the 1st of January 2024

TOU T1 - Number and capacity of hotels on the 1st of January 2024
Number of stars 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 01/01/2024.

TOU T2 - Number and capacity of campsites on the 1st of January 2024

TOU T2 - Number and capacity of campsites on the 1st of January 2024
Number of stars Campsites Pitches
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 01/01/2024.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2024

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2024
Type of accomodation Accommodation Number of bed places (1)
Altogether 0 0
Tourist accommodations 0 0
Holiday villages or private homes 0 0
Youth hostels or sports center 0 0
  • (1) rooms, apartments, dormitories ...
  • Source: Insee, territorial partners in geography as of 01/01/2024.

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 birthsare 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 deathsare 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.

Business Demography Information System (SIDE)

The indicators relate to the creation and inventory of businesses and establishments in all non-agricultural productive and market activities. This scope includes financial activities.

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

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

The number of companies or legal entities in year N corresponds to the number of economically active companies or legal entities in 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.

Unique electoral register

The unique electoral register covers all french territories except New Caledonia.

The scope concerns voters registered on the main electoral list.

The main electoral lists, maintained by the municipalities, record french voters associated with them who are eligible to participate in elections governed by the provisions of the electoral code, as well as any other consultations based on these lists.

Géographie

Population censuses 2010, 2015, 2021: dissemination in the municipalities of France outside Mayotte in geography on 2024;

Vital statistics: distribution to all municipalities in France in geography as of 2023;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2024;

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 01/01/2024;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2024;

Business Demography Information System (SIDE) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2024;

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 01/01/2024

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.