données locales

Paru le : 05/02/2026

Full set of local data Municipality of Neuves-Maisons (54397)

Detailed figures
Paru le :Paru le05/02/2026
- February 2026

The data presented is published in Geography 2024 or 2025, depending on the source.

For statistical confidentiality reasons, some indicators may not be provided.

Growth and structure of the population in 2022

Municipality of Neuves-Maisons (54397)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 7 115 100,0 6 820 100,0 6 572 100,0
0 to 14 years old 1 260 17,7 1 181 17,3 1 076 16,4
15 to 29 years old 1 319 18,5 1 132 16,6 1 091 16,6
30 to 44 years old 1 337 18,8 1 181 17,3 1 200 18,3
45 to 59 years old 1 475 20,7 1 416 20,8 1 317 20,0
60 to 74 years old 1 041 14,6 1 187 17,4 1 221 18,6
75 and over 682 9,6 722 10,6 667 10,1
  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2011 2016 2022
0 to 14 years old 17,7 17,3 16,4
15 to 29 years old 18,5 16,6 16,6
30 to 44 years old 18,8 17,3 18,3
45 to 59 years old 20,7 20,8 20,0
60 to 74 years old 14,6 17,4 18,6
75 and over 9,6 10,6 10,1
  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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)
Population and average density 1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Population 6 660 6 805 6 952 6 432 6 849 6 941 7 115 6 820 6 572
Average density (inhab / km²) 1 500,0 1 532,7 1 565,8 1 448,6 1 542,6 1 563,3 1 602,5 1 536,0 1 480,2
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025.
  • Sources: Insee, RP1967 to 1999 counts, RP2011 to RP2022 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 2006 2006 to 2011 2011 to 2016 2016 to 2022
Average annual change in population in % 0,3 0,3 –1,0 0,7 0,2 0,5 –0,8 –0,6
due to the natural balance in % 0,4 0,4 0,5 0,3 0,3 0,2 0,2 –0,0
due to the apparent balance of inflows and outflows in % –0,1 –0,1 –1,4 0,4 –0,2 0,3 –1,1 –0,6
Natality rate (‰) 14,1 12,7 13,4 12,7 11,8 11,2 11,3 9,9
Mortality rate (‰) 9,6 8,9 8,8 9,4 8,3 9,4 8,9 10,1
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2025
  • Sources: Insee, RP1968 to 1999 counts, RP2011 to RP2022 main holdings - Civil status

POP T3 - Population by age and sex in 2022

POP T3 - Population by age and sex in 2022
Age Male % Female %
Altogether 3 165 100,0 3 407 100,0
0 to 14 years old 528 16,7 547 16,1
15 to 29 years old 565 17,9 526 15,4
30 to 44 years old 596 18,8 605 17,7
45 to 59 years old 643 20,3 674 19,8
60 to 74 years old 585 18,5 636 18,7
75 to 89 years old 225 7,1 351 10,3
90 years and over 22 0,7 68 2,0
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T3bis - Population by age and sex in 2022

POP T3bis - Population by age and sex in 2022
Age Male % Female %
Ensemble 3 165 100,0 3 407 100,0
0 to 19 years old 752 23,8 754 22,1
20 to 64 years old 1 791 56,6 1 822 53,5
65 and over 621 19,6 831 24,4
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
Home adress 2011 % 2016 % 2022 %
People one year old and over, previously living 7 037 100,0 6 736 100,0 6 508 100,0
In the same house 6 170 87,7 6 001 89,1 5 835 89,7
In another house in the same town 235 3,3 196 2,9 216 3,3
In another town 632 9,0 539 8,0 457 7,0
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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 36,2 63,8
15 to 24 years old 27,8 72,2
25 to 54 years old 28,4 71,6
55 years old and over 48,0 52,0
  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

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

  • Source: Insee, RP2022 main operation, geography as of 01/01/2025.

POP T5 - Population aged 15 years and over by current or previous socio-professional group

POP T5 - Population aged 15 years and over by current or previous socio-professional group
Socioprofessional group 2011 % 2016 % 2022 %
Altogether 5 852 100,0 5 748 100,0 5 498 100,0
Farmer operators 0 0,0 5 0,1 0 0,0
Craftsmen, traders, business leaders 169 2,9 117 2,0 184 3,3
Managers and higher intellectual professions 344 5,9 350 6,1 378 6,9
Middle-level occupations 839 14,3 934 16,2 768 14,0
Services employee 1 086 18,6 1 083 18,8 1 123 20,4
Blue-collar workers 835 14,3 631 11,0 682 12,4
Retirees 1 610 27,5 1 644 28,6 1 573 28,6
Other people with no professional activity 971 16,6 985 17,1 790 14,4
  • Sources: Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

POP T6 - Population aged 15 years and over by sex, age and current or previous socio-professional group in 2022

POP T6 - Population aged 15 years and over by sex, age and current or previous socio-professional group in 2022
Socioprofessional group Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 2 591 2 907 100,0 100,0 100,0
Farmer operators 0 0 0,0 0,0 0,0
Craftsmen, traders, business leaders 145 39 0,6 6,3 1,3
Managers and higher intellectual professions 234 144 4,8 11,2 3,0
Middle-level occupations 328 440 7,2 22,6 7,4
Services employee 235 888 21,6 30,9 9,0
Blue-collar workers 578 104 13,4 19,3 4,8
Retirees 712 862 0,0 0,2 68,8
Other people with no professional activity 359 431 52,3 9,5 5,8
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Municipality of Neuves-Maisons (54397)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 2 960 100,0 2 898 100,0 2 987 100,0 6 872 6 542 6 393
One-person households (male and female) 887 30,0 924 31,9 1 152 38,6 887 924 1 152
 Single Male 347 11,7 294 10,2 508 17,0 347 294 508
 Single Female 540 18,3 629 21,7 644 21,5 540 629 644
Other households without families 36 1,2 25 0,9 48 1,6 97 51 96
Family households : 2 036 68,8 1 949 67,3 1 787 59,8 5 888 5 568 5 145
 Couple without children 798 27,0 777 26,8 737 24,7 1 601 1 568 1 504
 Couple with children 899 30,4 837 28,9 723 24,2 3 399 3 197 2 819
 Single parent 339 11,4 335 11,6 327 11,0 887 802 822
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Average number of occupants per main residence 3,31 3,11 2,93 2,70 2,56 2,41 2,32 2,26 2,12
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 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 01/01/2025.
  • Sources : Insee, RP1967 to 1999 counts RP2011 to RP2022 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
2011 2016 2022
15 to 19 years old 0,2 1,3 0,7
20 to 24 years old 8,4 9,1 18,2
25 to 39 years old 10,2 8,1 12,7
40 to 54 years old 9,3 12,5 18,3
55 to 64 years old 19,2 18,6 27,2
65 to 79 years old 25,9 27,5 31,0
80 and above 57,2 50,5 50,3
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G3 - People aged 15 and over reporting living as a couple

FAM G3 - People aged 15 and over reporting living as a couple
2011 2016 2022
15 to 19 years old 1,5 1,3 3,2
20 to 24 years old 31,6 25,9 25,4
25 to 39 years old 69,6 67,5 71,6
40 to 54 years old 70,1 69,3 65,7
55 to 64 years old 67,5 68,3 64,3
65 to 79 years old 68,2 64,0 63,2
80 and above 32,5 39,7 43,4
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G3 - People aged 15 and over reporting living as a couple

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FAM G4 - Marital status of the population aged 15 years or over in 2022

FAM G4 - Marital status of the population aged 15 years or over in 2022
%
Married 39,9
Civil partnership 7,6
In cohabitation 10,7
Widowed 7,8
Divorced 7,0
Single 26,9
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

FAM G4 - Marital status of the population aged 15 years or over in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

FAM T2 - Households by socioprofessionnal group of the reference person in 2022

FAM T2 - Households by socioprofessionnal group of the reference person in 2022
Socioprofessional group Number of households % Household population %
Altogether 2 987 100,0 6 393 100,0
including farmer operators 0 0,0 0 0,0
including craftsmen, traders, business leaders 129 4,3 401 6,3
including managers and higher intellectual professions 203 6,8 592 9,3
including intermediate professions 475 15,9 1 091 17,1
including employees 645 21,6 1 479 23,1
including workers 446 14,9 1 172 18,3
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM G5 - Households by socioprofessionnal group of the reference person in 2022

FAM G5 - Households by socioprofessionnal group of the reference person in 2022
%
Farmer operators 0,0
Handicrafters, traders, business leaders 4,3
Managers and higher intellectual professions 6,8
Intermediate professions 15,9
Employees 21,6
Workers 14,9
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM G5 - Households by socioprofessionnal group of the reference person in 2022

  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

FAM T3 - Families composition

FAM T3 - Families composition
Type of family 2011 % 2016 % 2022 %
Altogether 2 045 100,0 1 964 100,0 1 814 100,0
Couple with children 903 44,2 842 42,9 729 40,2
Single parent 339 16,6 340 17,3 338 18,6
 Male single parent 44 2,2 51 2,6 40 2,2
 Female single parent 294 14,4 289 14,7 298 16,4
Couple without children 802 39,3 782 39,8 747 41,2
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

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) 2022 %
Altogether 729 100,0
Traditional family 615 84,4
Blended family 114 15,6
  • Sources : Insee, RP2022, additional operations, geography as of 01/01/2025.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
Number of children 2011 % 2016 % 2022 %
Altogether 2 045 100,0 1 964 100,0 1 814 100,0
Without any 911 44,6 919 46,8 884 48,7
1 child 536 26,2 502 25,6 434 23,9
2 children 423 20,7 401 20,4 326 18,0
3 children 129 6,3 117 5,9 126 7,0
4 children or above 44 2,2 25 1,3 44 2,4
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Municipality of Neuves-Maisons (54397)

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
Housing category 1968(*) 1975(*) 1982 1990 1999 2006 2011 2016 2022
Altogether 2 065 2 180 2 403 2 485 2 697 2 911 3 154 3 177 3 336
Principal residences 1 998 2 075 2 271 2 306 2 588 2 775 2 953 2 900 3 014
Second dwellings and occasional dwellings 17 11 25 27 14 12 8 18 37
Vacant accommodations 50 94 107 152 95 124 193 259 286
  • (*) 1967 and 1974 for the overseas departments
  • Sources : Insee, RP1967 to RP1999 counts, RP2006 to RP2022 main holdings.

LOG T1bis - Categories of housings

LOG T1bis - Categories of housings
Category of housing 2011 2016 2022
Principal residences 93,6 91,3 90,3
Second dwellings and occasional dwellings 0,3 0,6 1,1
Vacant dwellings 6,1 8,2 8,6
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T2 - Types of housings

LOG T2 - Types of housings
Type of housing 2011 % 2016 % 2022 %
Altogether 3 154 100,0 3 177 100,0 3 336 100,0
Houses 2 032 64,4 2 097 66,0 2 054 61,6
Flats 1 056 33,5 1 023 32,2 1 169 35,0
Others 66 2,1 57 1,8 114 3,4
  • Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au 01/01/2025.

LOG T2bis - Contributions to the change in the number of principal residences

LOG T2bis - Contributions to the change in the number of principal residences
Contributions 2011-2016 % 2016-2022 %
Total change –53 –1,7 114 3,6
due to the household size effect 77 2,5 184 5,8
due to the demographic effect –130 –4,1 –70 –2,2
  • Note: The change in the number of households (and therefore in the number of main residences) can be broken down into two effects: the "household size effect" and the "demographic effect." Indeed, a decrease in average household size leads to an increased housing need, even if the population remains stable. The remaining part of the change is referred to as the demographic effect. These effects can be either positive or negative.
  • Sources : Insee, RP2011, RP2016 et RP2022, exploitations principales, géographie au 01/01/2025.

LOG T3 - Principal residences by number of rooms

LOG T3 - Principal residences by number of rooms
Number of rooms 2011 % 2016 % 2022 %
Altogether 2 953 100,0 2 900 100,0 3 014 100,0
1 room 88 3,0 62 2,1 195 6,5
2 rooms 212 7,2 179 6,2 213 7,1
3 rooms 616 20,9 594 20,5 556 18,4
4 rooms 902 30,6 855 29,5 907 30,1
5 rooms or above 1 135 38,4 1 211 41,8 1 144 38,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4 - Principal residences average number of rooms

LOG T4 - Principal residences average number of rooms
Type of main residence 2011 2016 2022
All main residences 4,2 4,3 4,2
House 4,8 4,8 4,9
Flat 3,3 3,3 3,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4bis - Dwelling occupancy index

LOG T4bis - Dwelling occupancy index
Occupancy index 2011 2016 2022
Standard occupancy 18,8 16,5 14,5
Moderate over-occupation 4,4 3,5 8,1
Severe over-occupation 0,4 0,2 0,5
Moderate under-occupation 28,2 27,8 25,3
Severe under-occupation 24,9 22,8 28,0
Very severe under-occupation 23,3 29,2 23,6
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T5 - Principal residences in 2022 by completion period

LOG T5 - Principal residences in 2022 by completion period
Completion period Number %
Principal residences build before 2020 2 971 100,0
Before 1919 261 8,8
From 1919 to 1945 341 11,5
From 1946 to 1970 831 28,0
From 1971 to 1990 811 27,3
From 1991 to 2005 354 11,9
From 2006 to 2019 374 12,6
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G1 - Principal residences in 2022 by completion period and housing category

LOG G1 - Principal residences in 2022 by completion period and housing category
House Flat
Before 1919 229 32
From 1919 to 1945 287 54
From 1946 to 1970 630 196
From 1971 to 1990 468 336
From 1991 to 2005 164 182
From 2006 to 2018 113 170
  • Main residences built before 2020.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G1 - Principal residences in 2022 by completion period and housing category

  • Main residences built before 2020.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG T6 - Length of residence in the main residences in 2022

LOG T6 - Length of residence in the main residences in 2022
Length of residence Number of households Share of households in % Household population Average number of pieces per
lodging person
Altogether 3 014 100,0 6 397 4,2 2,0
Less than 2 years ago 309 10,3 665 3,7 1,7
From 2 to 4 years ago 559 18,5 1 230 3,8 1,7
From 5 to 9 years ago 574 19,1 1 257 3,5 1,6
10 years ago or above 1 572 52,1 3 244 4,6 2,2
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G2 - Length of residence of households in 2022

LOG G2 - Length of residence of households in 2022
Share of households in%
Less than 2 years ago 10,3
From 2 to 4 years ago 18,5
From 5 to 9 years ago 19,1
From 10 to 19 years ago 18,2
From 20 to 29 years ago 11,4
30 years ago or above 22,6
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG G2 - Length of residence of households in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

LOG T7 - Principal residences by housing tenure

LOG T7 - Principal residences by housing tenure
2011 2016 2022
Housing tenure Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 2 953 100,0 2 900 100,0 3 014 100,0 6 397 17,4
Homeowner 1 879 63,6 1 892 65,2 1 871 62,1 4 274 23,1
Tenant 1 019 34,5 964 33,3 1 069 35,5 1 981 8,1
including public tenants 444 15,0 380 13,1 378 12,5 824 10,1
Housed for free 54 1,8 44 1,5 74 2,4 142 7,5
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T8M - Comfort of principal residences: primary heating fuel

LOG T8M - Comfort of principal residences: primary heating fuel
Fuel 2011 % 2016 % 2022 %
Town gas - district heating network 2 039 69,1 2 093 72,2 2 123 70,4
Fuel oil 168 5,7 149 5,1 102 3,4
Electricity 564 19,1 498 17,2 582 19,3
Bottled or tank gas 21 0,7 17 0,6 11 0,4
Other (wood, solar, geothermal, etc.) 160 5,4 142 4,9 196 6,5
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T9 - Household automotive equipment

LOG T9 - Household automotive equipment
Equipment 2011 % 2016 % 2022 %
At least one car 2 421 82,0 2 396 82,6 2 459 81,6
 1 car 1 419 48,1 1 293 44,6 1 371 45,5
 2 cars or above 1 001 33,9 1 102 38,0 1 088 36,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T9bis - Parking space reserved for personal use

LOG T9bis - Parking space reserved for personal use
Parking space 2011 % 2016 % 2022 %
All principal residences 2 953 100,0 2 900 100,0 3 014 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 1 833 62,1 1 797 62,0 1 869 62,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Municipality of Neuves-Maisons (54397)

FOR T1 - Schooling by age in 2022

FOR T1 - Schooling by age in 2022
Age Scholarized population Total
2 to 5 years old 179 237
6 to 10 years old 381 386
11 to 14 years old 321 324
15 to 17 years old 271 275
18 to 24 years old 243 498
25 to 29 years old 19 318
30 years old or above 44 4 405
  • Source : Insee, RP2022 principal exploitation, geography at the 01/01/2025.

FOR T2 - Schooling rate by sex in 2022 (in %)

FOR T2 - Schooling rate by sex in 2022 (in %)
Age Male Female Total
2 to 5 years old 80,6 69,5 75,7
6 to 10 years old 98,3 99,0 98,7
11 to 14 years old 98,8 99,4 99,1
15 to 17 years old 98,6 98,4 98,5
18 to 24 years old 47,0 50,8 48,9
25 to 29 years old 2,0 10,3 6,0
30 years old or above 0,9 1,1 1,0
  • Source : Insee, RP2022 principal exploitation, geography at the 01/01/2025.

FOR G1 - Schooling rate by age (in %)

FOR G1 - Schooling rate by age (in %)
2011 2016 2022
2 to 5 years old 73,4 72,5 75,7
6 to 10 years old 98,8 96,6 98,7
11 to 14 years old 99,4 97,9 99,1
15 to 17 years old 93,4 93,0 98,5
18 to 24 years old 43,4 43,9 48,9
25 to 29 years old 3,5 5,8 6,0
30 years old or above 0,5 0,7 1,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FOR G1 - Schooling rate by age (in %)

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

FOR T3 - Highest level of graduation for population aged 15 years or over by sex in 2022

FOR T3 - Highest level of graduation for population aged 15 years or over by sex in 2022
Diploma Male Female Total
Proportion of unschooled aged 15 years or above 2 352 2 567 4 919
No diploma or primary education certificate in % 20,6 25,2 23,0
BEPC brevet des collèges or DNB in % 3,7 4,2 3,9
CAP, BEP or equivalent in % 32,3 25,8 28,9
Baccalauréat, brevet professionnel or equivalent in % 17,0 17,8 17,4
2 years at university in % 11,1 11,3 11,2
3 to 4 years at university in % 7,3 9,7 8,6
5 years or more at university in % 8,1 5,9 6,9
  • Source : Insee, RP2022 principal exploitation, geography at the 01/01/2025.

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)
2011 2022
No diploma or primary education certificate 32,5 23,0
BEPC brevet des collèges or DNB 4,8 3,9
CAP, BEP or equivalent 27,4 28,9
Baccalauréat, brevet professionnel or equivalent 16,1 17,4
Higher education degree 19,1 26,7
  • Note : As the response methods have changed during the census surveys, the values cannot be obtained for the 2016 vintage.
  • Sources : Insee, RP2011, RP2022, main operations, geography as of 01/01/2025.

FOR G2 - Highest level of graduation for unschooling population 15 years or over (in %)

  • Note : As the response methods have changed during the census surveys, the values cannot be obtained for the 2016 vintage.
  • Sources : Insee, RP2011, RP2022, main operations, geography as of 01/01/2025.

Active population, employment and unemployment within the meaning of the census in 2022

Municipality of Neuves-Maisons (54397)

EMP T1 - Population aged 15 to 64 by economic activity

EMP T1 - Population aged 15 to 64 by economic activity
Economic activity 2011 2016 2022
Altogether 4 585 4 217 4 044
Working age adult in % 72,6 73,1 74,0
 Working age adults with a job in % 63,6 62,9 66,9
 Unemployed workers in % 9,0 10,2 7,2
Economically inactive people in % 27,4 26,9 26,0
 Pupils, students or interns in % 9,5 9,1 9,7
 Retirees in % 9,5 8,4 7,0
 Other economically inactive people in % 8,4 9,5 9,3
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2022

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2022
Sex and age Population Active people Activity rate in % Working people Employment rate in %
Altogether 4 044 2 993 74,0 2 704 66,9
 15 to 24 years old 773 352 45,5 302 39,1
 25 to 54 years old 2 383 2 137 89,7 1 944 81,6
 55 to 64 years old 888 505 56,8 458 51,5
Male 2 015 1 501 74,5 1 342 66,6
 15 to 24 years old 400 188 47,0 163 40,7
 25 to 54 years old 1 181 1 069 90,5 962 81,4
 55 to 64 years old 433 244 56,3 217 50,1
Female 2 029 1 493 73,6 1 362 67,1
 15 to 24 years old 373 164 43,9 139 37,3
 25 to 54 years old 1 201 1 068 88,9 983 81,8
 55 to 64 years old 455 261 57,3 241 52,9
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP G1 - Population aged 15 to 64 by economic activity category in 2022

EMP G1 - Population aged 15 to 64 by economic activity category in 2022
Population (%)
Working age adults who have a job 66,9
Unemployed workers 7,2
Retirees 7,0
Pupils, students or interns 9,7
Other economically inactive people 9,3
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP G1 - Population aged 15 to 64 by economic activity category in 2022

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP T3 - Population aged 15 to 64 by current or previous socioprofessional group

EMP T3 - Population aged 15 to 64 by current or previous socioprofessional group
Socioprofessional group 2011 including working people 2016 including working people 2022 including working people
Altogether 3 300 2 913 3 150 2 809 3 098 2 843
including farmer operators 0 0 5 5 0 0
including handicrafters, traders and business leaders 165 133 112 96 174 169
including managers and higher intellectual professions 340 328 345 325 353 343
including intermediate professions 839 802 934 878 768 720
including employees 1 082 945 1 083 996 1 100 1 000
including workers 831 706 616 508 672 610
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

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 2011 2016 2022
Number of unemployed workers 411 429 289
Unemployment rate in % 12,4 13,9 9,7
Unemployment of the 15-24 aged 28,5 26,3 14,2
Unemployment of the 25-54 aged 10,0 12,2 9,0
Unemployment of the 55-64 aged 8,4 13,2 9,3
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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 18,6
BEPC brevet des collèges or DNB 10,5
CAP, BEP or equivalent 12,9
Baccalauréat, brevet professionnel or equivalent 9,7
2 years at university 5,3
3 to 4 years at university 5,9
5 years or more at university 3,8
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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

  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
Employment activity 2011 2016 2022
Number of jobs in the area 2 681 2 501 2 474
Working age adult living in the area 2 936 2 683 2 741
Occupational concentration by industry 91,3 93,2 90,3
employment rate of 15 years old or above in % 57,2 55,2 55,1
  • 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, RP2011, RP2016 and RP2022, main operations holdings, place of residence and place of work, geography as of 01/01/2025.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
Working status 2011 % 2016 % 2022 %
Altogether 2 681 100,0 2 501 100,0 2 474 100,0
Employee 2 381 88,8 2 217 88,6 2 183 88,3
 including women 1 088 40,6 1 005 40,2 954 38,6
 including part time jobs 472 17,6 448 17,9 347 14,0
Non-employee 300 11,2 284 11,4 290 11,7
 including women 94 3,5 97 3,9 110 4,4
 including part time jobs 28 1,1 35 1,4 35 1,4
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations workplaces, geography as of 01/01/2025.

EMP T7 - Employment by socioprofessional group in 2022

EMP T7 - Employment by socioprofessional group in 2022
Socioprofessional group Number %
Altogether 2 339 100,0
Farmer operators 5 0,2
Handicrafters, traders, business leaders 202 8,6
Managers and higher intellectual professions 253 10,8
Intermediate professions 598 25,6
Employees 588 25,2
Workers 692 29,6
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

EMP G3 - Employment by socioprofessional group
2011 2016 2022
Farmer operators 0,0 0,2 0,2
Handicrafters, traders, business leaders 6,0 5,7 8,6
Managers and higher intellectual professions 11,2 14,8 10,8
Intermediate professions 23,8 26,4 25,6
Employees 27,8 29,7 25,2
Workers 31,1 23,2 29,6
  • Sources: Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP G3 - Employment by socioprofessional group

  • Sources: Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
Economic sector 2011 2016 2022
Number % Number % Number % including women in % including employees %
Altogether 2 672 100,0 2 416 100,0 2 339 100,0 42,5 87,6
Agriculture 0 0,0 10 0,4 5 0,2 0,0 0,0
Industry 561 21,0 538 22,3 450 19,2 5,9 97,8
Construction 205 7,7 127 5,3 197 8,4 9,6 65,7
Wholesale and retail trade/transports/accommodations and food service activities 1 036 38,8 715 29,6 908 38,8 44,4 83,5
Public administration/education/human health/social work 870 32,6 1 026 42,5 779 33,3 70,0 92,7
  • Sources : Insee, RP2011, RP2016 and RP2022, additional work place of work, geography as of 01/01/2025.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022
Employees Non-employees
Agriculture 0,0
Industry 6,1 0,0
Construction 10,6 7,6
Wholesale and retail trade, transports, accommodations and food service activities 44,5 44,3
Public administration, education, human health, social work 68,8 85,5
  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2022

  • Source : Insee, RP2022 additional operation at the workplace, geography as of 01/01/2025.

Characteristics of employment in the sense of the census in 2022

Municipality of Neuves-Maisons (54397)

ACT T1 - Population aged 15 years or over having a job by status in 2022

ACT T1 - Population aged 15 years or over having a job by status in 2022
Employment status Number % of which % part-time of which % women
Altogether 2 739 100,0 15,7 50,3
Employees 2 523 92,1 15,9 51,8
Non-employees 216 7,9 13,4 32,6
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT T2 - Status and employment conditions of 15 years or over by sex in 2022

ACT T2 - Status and employment conditions of 15 years or over by sex in 2022
Employment status and conditions Male % Female %
Altogether 1 361 100 1 377 100
Employees 1 216 89,3 1 307 94,9
 Tenured personnel and open-ended employment contracts 1 053 77,4 1 122 81,4
 Fixed-term employment contracts 67 4,9 119 8,6
 Temporary employment 25 1,9 6 0,4
 Assisted jobs 10 0,7 3 0,2
 Apprentice ship contract - Traineeship 60 4,4 57 4,1
Non-employees 146 10,7 71 5,1
 Independents 74 5,4 43 3,1
 Employers 71 5,2 26 1,9
 Caregivers 1 0,1 2 0,1
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2022

ACT T3 - Employees aged 15 to 64 by sex, age, and partial time jobs in 2022
Age Male of which% part-time Female of which% part-time
Altogether 1 204 6,6 1 293 24,0
15 to 24 years old 156 22,5 137 29,6
25 to 54 years old 854 4,0 931 23,4
55 to 64 years old 194 5,6 225 22,9
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

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
2011 2016 2022
Male 8,2 8,6 7,3
Female 30,5 28,4 24,0
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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

  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

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 2011 % 2016 % 2022 %
Altogether 2 935 100 2 682 100 2 739 100
Working in their residential zone 704 24,0 669 25,0 587 21,4
Working in another zone 2 231 76,0 2 012 75,0 2 152 78,6
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

ACT G2 - Proportion of transports used to go to work in 2022

ACT G2 - Proportion of transports used to go to work in 2022
Percentage
None 2,5
Walking 6,3
Bicycle 1,1
Motorized two-wheeled vehicles 1,0
Car or truck 80,5
Public transports 8,5
  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

ACT G2 - Proportion of transports used to go to work in 2022

  • Scope : workers aged 15 or over with a job.
  • Source : Insee, RP2022 main operation, geography as of 01/01/2025.

Births and Deaths of people with usual residence in the area, 2015-2024

Municipality of Neuves-Maisons (54397)

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
2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Domiciled deaths 66 74 63 71 66 68 64 71 78 73
Domiciled births 83 87 62 59 53 76 60 70 51 56
  • Source: Insee, civil status statistics in geography as of 01/01/2025.

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

  • Source: Insee, civil status statistics in geography as of 01/01/2025.

Household income and poverty in 2021

Municipality of Neuves-Maisons (54397)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 2 924
Number of people in tax households 6 361
Median disposable income (per consumption unit in euros) 22 650
Share of actually taxed tax households (in %) 52
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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 %
Less than 30 years old s
30 to 39 years old s
40 to 49 years old 16
50 to 59 years old s
60 to 74 years old s
75 and over s
Altogether 12
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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

  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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 %
Homeowner 5
Tenant 27
Altogether 12
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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

  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
Composition of disposable income Share in %
Work income 71,6
   Wages 66,1
   Unemployment pensions 2,2
   Self-employed income 3,3
Retirement pension or annuity 31,3
Capital income (real estate, financial, others) 5,0
Social benefits 6,0
   Child benefit 2,1
   Income support 2,7
   Housing benefit 1,2
Tax –13,9
Altogether 100,0
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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) 22 650
Inter-decile ratio 2,6
1st decile (in euros) 13 180
9th decile (in euros) 34 920
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

Salaries and earned income in 2023

Municipality of Neuves-Maisons (54397)

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023
Altogether Female Male
Altogether 2 279 2 041 2 391
Managerial staff* 3 351 2 817 3 616
Intermediate professions 2 624 2 436 2 707
Employees 1 861 1 860 1 862
Workers 2 146 1 627 2 192
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • 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, jobs at place of work by geography at 01/01/2025.

SAL G1 - Average net monthly FTE salary (in euros) by socio-professional category in 2023

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • 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, jobs at place of work by geography at 01/01/2025.

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023
Pay gap (%)
Altogether –14,6
Managerial staff* –22,1
Intermediate professions –10,0
Employees –0,1
Workers –25,8
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • 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, jobs at place of work by geography at 01/01/2025.

SAL G3 - Difference in average net monthly FTE pay between women and men by socio-professional category in 2023

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • 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, jobs at place of work by geography at 01/01/2025.

SAL T1 - Average net monthly FTE salary (in euros) by age in 2023

SAL T1 - Average net monthly FTE salary (in euros) by age in 2023
Age Altogether Female Male
Less than 25 years old 1 785 1 665 1 884
25 to 39 years old 2 240 2 000 2 340
40 to 49 years old 2 361 2 103 2 482
50 to 54 years old 2 402 2 128 2 515
55 years old or older 2 432 2 266 2 513
  • Note: For reasons of statistical confidentiality, graphs and tables may be incomplete.
  • 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, jobs at place of work by geography at 01/01/2025.

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023
Pay gap (%)
Less than 25 years old –11,6
25 to 39 years old –14,5
40 to 49 years old –15,3
50 to 54 years old –15,4
55 years old or older –9,8
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • 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, jobs at place of work by geography at 01/01/2025.

SAL G4 - Difference in average net monthly FTE pay between women and men by age in 2023

  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • 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, jobs at place of work by geography at 01/01/2025.

Establishment characteristics at the end of 2023

Municipality of Neuves-Maisons (54397)

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2023

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 210 100,0 19 152 20 12 7
Agriculture, forestry and fishing 1 0,5 0 1 0 0 0
Industrial economy 17 8,1 1 7 5 2 2
Building industry 25 11,9 1 20 3 1 0
Trade, transport, various services 136 64,8 16 105 10 4 1
General government, education, healthcare, social action 31 14,8 1 19 2 5 4
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T2 - Number of employees by aggregate sector of activity and workforce size at the end of 2023

RES T2 - Number of employees by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 employees and more
Altogether 2 141 100,0 465 264 400 189 823
Agriculture, forestry and fishing 1 0,0 1 0 0 0 0
Industrial economy 628 29,3 20 56 58 61 433
Building industry 139 6,5 73 46 20 0 0
Trade, transport, various services 694 32,4 301 136 131 0 126
General government, education, healthcare, social action 679 31,7 70 26 191 128 264
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023
Part
Agriculture, forestry and fishing 0,5
Industrial economy 8,1
Building industry 11,9
Trade, transport, various services 64,8
General government, education, healthcare, social action 14,8
  • Scope: Employer establishments during the year and active during the last week of December excluding the defense sector and private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023

  • Scope: Employer establishments during the year and active during the last week of December excluding the defense sector and private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G2 - Distribution of establishments by workforce size at the end of 2023

RES G2 - Distribution of establishments by workforce size at the end of 2023
Part
50 or more employees 3,3
20 to 49 employees 5,7
10 to 19 employees 9,5
1 to 9 employees 72,4
0 employee 9,0
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES G2 - Distribution of establishments by workforce size at the end of 2023

  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T3 - Establishments according to the spheres of the economy at the end of 2023

RES T3 - Establishments according to the spheres of the economy at the end of 2023
Economic sphere Establishments Employees
Number % Number %
Altogether 210 100,0 2 141 100,0
Productive sphere 50 23,8 723 33,8
of which public domain 0 0,0 0 0,0
Presential sphere 160 76,2 1 418 66,2
of which public domain 15 7,1 475 22,2
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T5 - Individual employers in 2023

RES T5 - Individual employers in 2023
Individual employers
Number %
Altogether 216 100,0
Employers of childminders 99 45,8
Employers of other employees 117 54,2
  • Scope: private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

Business and establishment set-ups in 2024

Municipality of Neuves-Maisons (54397)

DEN T1 - Business set-ups by sector of activity in 2024

DEN T1 - Business set-ups by sector of activity in 2024
Sector of activity Company set-ups (Number) Of which sole proprietorships (%) Of which SARL (%) Of which SAS (%) Of which other societies (%)
Altogether 69 84,1 2,9 11,6 1,4
Industry 5 100,0 0,0 0,0 0,0
Construction 8 62,5 0,0 25,0 12,5
Wholesale and retail trade/transports/accommodations and food service activities 16 87,5 6,3 6,3 0,0
Information/communication 7 100,0 0,0 0,0 0,0
Finance and insurance activities 1 0,0 0,0 100,0 0,0
Real estate activities 2 100,0 0,0 0,0 0,0
Professional/scientific/technical activites/administrative and support service activities 18 77,8 5,6 16,7 0,0
Public administration/education/healthcare/social work 5 80,0 0,0 20,0 0,0
Other service activities 7 100,0 0,0 0,0 0,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2025.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Altogether 45 43 52 34 47 34 54 50 51 60 61 63 69
Sole proprietorship 28 32 38 28 32 24 44 36 37 51 45 52 58
SARL 12 8 10 5 8 7 7 4 4 4 7 4 2
SAS 3 3 2 1 6 3 1 10 10 5 7 7 8
Other societies 2 0 2 0 1 0 2 0 0 0 2 0 1
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN T2 - Establishment set-ups by economic sectors in 2024

DEN T2 - Establishment set-ups by economic sectors in 2024
Sector of activity Altogether %
Altogether 85 100,0
Industry 6 7,1
Construction 10 11,8
Wholesale and retail trade/transports/accommodations and food service activities 24 28,2
Information/communication 6 7,1
Finance and insurance activities 1 1,2
Real estate activities 2 2,4
Professional/scientific/technical activites/administrative and support service activities 20 23,5
Public administration/education/healthcare/social work 6 7,1
Other service activities by the number of business creations including free lancers 10 11,8
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

DEN G2 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Establishment set-ups 51 46 54 37 44 36 51 60 55 59 64 67 85
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

Number of legal entities and establishments in 2023

Municipality of Neuves-Maisons (54397)

DEN T3 - Number of economically active legal units by economic sector in 2023

DEN T3 - Number of economically active legal units by economic sector in 2023
Sector of activity Number %
Altogether 419 100,0
Industry 24 5,7
Construction 64 15,3
Wholesale and retail trade/transports/accommodations and food service activities 92 22,0
Information/communication 13 3,1
Finance and insurance activities 15 3,6
Real estate activities 9 2,1
Professional/scientific/technical activites/administrative and support service activities 66 15,8
Public administration/education/human health/social work 89 21,2
Other service activities 47 11,2
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN T4 - Number of economically active establishments by economic sector in 2023

DEN T4 - Number of economically active establishments by economic sector in 2023
Sector of activity Number %
Altogether 475 100,0
Industry 34 7,2
Construction 64 13,5
Wholesale and retail trade/transports/accommodations and food service activities 113 23,8
Information/communication 14 2,9
Finance and insurance activities 20 4,2
Real estate activities 13 2,7
Professional/scientific/technical activites/administrative and support service activities 73 15,4
Public administration/education/human health/social work 93 19,6
Other service activities 51 10,7
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

Facilities and services for the population in 2024

Municipality of Neuves-Maisons (54397)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 2
Grocery store, convenience store 2
Bakery and pastry shop 5
Service station 2
Electric vehicle charging station 1
Hair salon 11
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

EQUIP T2 - Number of healthcare professionals and pharmacies in 2024

EQUIP T2 - Number of healthcare professionals and pharmacies in 2024
Healthcare professionals and pharmacies Number
General practitioner 12
Dentist 5
Physiotherapist 19
Nurse 15
Psychologist 2
Pharmacy 3
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

EQUIP T3 - Number of educationals institutions or libraries in 2024

EQUIP T3 - Number of educationals institutions or libraries in 2024
Educational or cultural institutions Number
Nursery and primary school 6
Middle school 2
General and/or technological upper secondary school 0
Vocational or agricultural upper secondary school 0
Library 0
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

Tourism in 2026

Municipality of Neuves-Maisons (54397)

TOU T1 - Number and capacity of hotels on the 1st of January 2026

TOU T1 - Number and capacity of hotels on the 1st of January 2026
Number of stars Hotels Rooms
Altogether 1 18
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 1 18
  • Source: Insee, territorial partners in geography as of 01/01/2025.

TOU T2 - Number and capacity of campsites on the 1st of January 2026

TOU T2 - Number and capacity of campsites on the 1st of January 2026
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 01/01/2025.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2026

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2026
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, etc.
  • Source: Insee, territorial partners in geography as of 01/01/2025.

Voters in 2024

Municipality of Neuves-Maisons (54397)

REU - Number of voters registered on the main electoral roll by election

REU - Number of voters registered on the main electoral roll by election
Municipal election 2020 Departmental and regional election 2021 Presidential election 2022 European election 2024
4 843 4 772 4 711 4 772
  • Note : The data on voters is extracted at the close of registration for the mentioned election.
  • Source : Insee, Unique electoral register.

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.

Wage in full-time equivalent (FTE) :

Wage in full-time equivalent (FTE) is a wage converted to a full-time throughout the full year, regardless of the actual workload. For an employee who has held a job for six months at 80% and has earned a total of 10 000 euros, the wage in FTE is 10 000 / (0.5 * 0.8) = 25 000 euros per year.

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.

Other definitions are accessible on insee.fr, as well as the concepts specific to the population census.

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 (BTS)

The scope corresponds to employees in the private sector, including beneficiaries of subsidised contracts and professionalisation contracts; excluding apprentices, trainees, agricultural employees and employees of private individuals.

Business Demography Information System (Side)

The indicators relate to the creation and stock of companies and establishments in all non-agricultural productive and market activities. This field includes financial activities.

When referring to enterprises, all counts actually relate to legal units for this source. When a legal unit comprises several establishments, it is located at its head office.

The number of new enterprises or establishments corresponds to the number of legal units or establishments created during year N.

The number of businesses or establishments in year N corresponds to the number of legal units or economically active establishments in 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.

Permanent database of facilities

The permanent database of facilities (BPE) is a database intended for statistical purposes. It lists a wide range of facilities and services, whether commercial or not, that are accessible to the public throughout France as of January 1st each year.

The permanent database of facilities (BPE) is powered by different sources : sources used.

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 2011, 2016, 2022: dissemination in the municipalities of France outside Mayotte in geography on 2025;

Vital statistics: distribution to all municipalities in France in geography as of 2025;

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2025;

All employees databases (BTS), 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 01/01/2025;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2025;

Business Demography Information System (Side) - Business and establishment set-ups: distribution to all municipalities in France, in geography as of 01/01/2025;

Business Demography Information System (Side) - Number of legal entities and establishments: distribution to all municipalities in France, in geography as of 01/01/2025;

Permanent database of facilities: coverage across all municipalities in France, geography as of 01/01/2025. The data cover metropolitan France and the five overseas departments (DOM);

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2025

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.

Confidentiality and precautions of the All Employees databases (BTS)

Data from the All Employees databases are subject to statistical confidentiality.

No statistics are published for areas with fewer than 2,000 inhabitants.

In addition, each box in the table must contain at least 5 employees and no employee may represent more than 80% of the total payroll for the box. Similarly, in the case of workplace data, no box should relate to fewer than 3 establishments (or companies) and no establishment (or company) should account for more than 85% of the total payroll in the box.

As a result of these constraints, results from certain areas with more than 2,000 inhabitants were excluded from the distribution.

The salary data in the All employees database has not been assessed or validated at a geographical level finer than that of the départements. Beyond that level, the data must therefore be used with caution.

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.