données locales

Paru le : 05/05/2026

Full set of local data Municipality of Malakoff (92046)

Detailed figures
Paru le :Paru le05/05/2026
- May 2026

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


To consult household income and poverty in 2021, click the link below : Filosofi 2021

Growth and structure of the population in 2022

Municipality of Malakoff (92046)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 30 768 100,0 29 973 100,0 30 183 100,0
0 to 14 years old 5 500 17,9 5 239 17,5 4 934 16,3
15 to 29 years old 6 669 21,7 6 243 20,8 6 351 21,0
30 to 44 years old 7 184 23,3 6 682 22,3 6 417 21,3
45 to 59 years old 5 982 19,4 5 993 20,0 6 244 20,7
60 to 74 years old 3 436 11,2 3 931 13,1 4 108 13,6
75 and over 1 997 6,5 1 885 6,3 2 129 7,1
  • 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 17,9 17,5 16,3
15 to 29 years old 21,7 20,8 21,0
30 to 44 years old 23,3 22,3 21,3
45 to 59 years old 19,4 20,0 20,7
60 to 74 years old 11,2 13,1 13,6
75 and over 6,5 6,3 7,1
  • 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 36 198 34 121 32 553 30 959 29 402 30 509 30 768 29 973 30 183
Average density (inhab / km²) 17 487,0 16 483,6 15 726,1 14 956,0 14 203,9 14 738,6 14 863,8 14 479,7 14 581,2
  • (*) 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 % –0,8 –0,7 –0,6 –0,6 0,5 0,2 –0,5 0,1
due to the natural balance in % 0,7 0,6 0,6 0,8 0,8 0,8 0,8 0,6
due to the apparent balance of inflows and outflows in % –1,5 –1,2 –1,2 –1,3 –0,2 –0,7 –1,3 –0,5
Natality rate (‰) 15,4 14,2 14,2 15,1 14,3 14,5 13,6 11,8
Mortality rate (‰) 8,5 8,6 8,4 7,5 6,7 6,0 5,9 6,0
  • 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 14 466 100,0 15 717 100,0
0 to 14 years old 2 498 17,3 2 436 15,5
15 to 29 years old 3 193 22,1 3 159 20,1
30 to 44 years old 3 126 21,6 3 291 20,9
45 to 59 years old 2 973 20,6 3 271 20,8
60 to 74 years old 1 854 12,8 2 254 14,3
75 to 89 years old 740 5,1 1 129 7,2
90 years and over 82 0,6 178 1,1
  • 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 14 466 100,0 15 717 100,0
0 to 19 years old 3 422 23,7 3 374 21,5
20 to 64 years old 9 041 62,5 9 742 62,0
65 and over 2 002 13,8 2 602 16,6
  • 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 30 404 100,0 29 605 100,0 29 826 100,0
In the same house 27 263 89,7 26 472 89,4 26 725 89,6
In another house in the same town 824 2,7 855 2,9 862 2,9
In another town 2 317 7,6 2 278 7,7 2 240 7,5
  • 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 50,1 49,9
15 to 24 years old 18,6 81,4
25 to 54 years old 24,1 75,9
55 years old and over 32,7 67,3
  • 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 25 276 100,0 24 747 100,0 25 262 100,0
Farmer operators 4 0,0 0 0,0 0 0,0
Craftsmen, traders, business leaders 607 2,4 699 2,8 652 2,6
Managers and higher intellectual professions 4 393 17,4 4 890 19,8 5 948 23,5
Middle-level occupations 4 670 18,5 4 301 17,4 4 109 16,3
Services employee 5 027 19,9 4 594 18,6 4 080 16,2
Blue-collar workers 2 000 7,9 1 759 7,1 1 758 7,0
Retirees 4 772 18,9 4 578 18,5 4 713 18,7
Other people with no professional activity 3 804 15,1 3 926 15,9 4 001 15,8
  • 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 11 980 13 283 100,0 100,0 100,0
Farmer operators 0 0 0,0 0,0 0,0
Craftsmen, traders, business leaders 442 210 0,9 3,6 1,8
Managers and higher intellectual professions 3 217 2 731 6,9 36,4 11,4
Middle-level occupations 1 754 2 355 12,3 21,8 9,6
Services employee 1 466 2 614 11,4 21,8 9,7
Blue-collar workers 1 437 321 4,5 8,6 5,5
Retirees 1 943 2 770 0,0 0,1 56,3
Other people with no professional activity 1 721 2 280 63,9 7,8 5,6
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Municipality of Malakoff (92046)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 14 377 100,0 14 143 100,0 14 810 100,0 30 514 29 778 29 951
One-person households (male and female) 5 991 41,7 6 020 42,6 6 891 46,5 5 991 6 020 6 891
 Single Male 2 598 18,1 2 781 19,7 3 269 22,1 2 598 2 781 3 269
 Single Female 3 393 23,6 3 239 22,9 3 622 24,5 3 393 3 239 3 622
Other households without families 628 4,4 449 3,2 398 2,7 1 423 994 893
Family households : 7 758 54,0 7 675 54,3 7 522 50,8 23 099 22 765 22 168
 Couple without children 2 670 18,6 2 544 18,0 2 560 17,3 5 497 5 290 5 247
 Couple with children 3 475 24,2 3 376 23,9 3 132 21,1 13 382 13 044 12 211
 Single parent 1 613 11,2 1 755 12,4 1 830 12,4 4 220 4 431 4 709
  • 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 2,71 2,50 2,34 2,22 2,15 2,13 2,12 2,10 2,04
  • (*) 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 5,0 6,1 5,3
20 to 24 years old 25,0 21,6 23,7
25 to 39 years old 20,8 22,5 26,9
40 to 54 years old 19,2 19,2 20,1
55 to 64 years old 29,7 28,4 29,8
65 to 79 years old 34,1 34,4 39,6
80 and above 58,6 64,2 54,7
  • 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 1,8 1,2
20 to 24 years old 15,3 15,1 12,1
25 to 39 years old 59,8 57,6 51,9
40 to 54 years old 63,1 63,8 62,9
55 to 64 years old 59,6 58,3 58,2
65 to 79 years old 58,7 58,6 54,4
80 and above 32,7 24,7 37,8
  • 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 33,6
Civil partnership 5,8
In cohabitation 10,2
Widowed 4,8
Divorced 7,1
Single 38,6
  • 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 14 810 100,0 29 951 100,0
including farmer operators 0 0,0 0 0,0
including craftsmen, traders, business leaders 430 2,9 1 110 3,7
including managers and higher intellectual professions 4 110 27,8 8 908 29,7
including intermediate professions 2 647 17,9 5 646 18,9
including employees 2 461 16,6 5 652 18,9
including workers 1 231 8,3 3 058 10,2
  • 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 2,9
Managers and higher intellectual professions 27,8
Intermediate professions 17,9
Employees 16,6
Workers 8,3
  • 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 7 837 100,0 7 747 100,0 7 595 100,0
Couple with children 3 478 44,4 3 391 43,8 3 146 41,4
Single parent 1 662 21,2 1 789 23,1 1 867 24,6
 Male single parent 251 3,2 338 4,4 328 4,3
 Female single parent 1 411 18,0 1 451 18,7 1 539 20,3
Couple without children 2 698 34,4 2 567 33,1 2 582 34,0
  • 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 3 146 100,0
Traditional family 2 873 91,3
Blended family 273 8,7
  • 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 7 837 100,0 7 747 100,0 7 595 100,0
Without any 3 245 41,4 3 196 41,3 3 204 42,2
1 child 2 154 27,5 2 178 28,1 2 073 27,3
2 children 1 677 21,4 1 661 21,4 1 632 21,5
3 children 590 7,5 566 7,3 513 6,8
4 children or above 172 2,2 146 1,9 172 2,3
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Municipality of Malakoff (92046)

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 13 980 14 572 15 070 14 891 14 951 15 234 15 461 15 551 16 295
Principal residences 13 323 13 631 13 857 13 937 13 650 14 314 14 373 14 143 14 689
Second dwellings and occasional dwellings 89 106 328 319 273 179 364 540 624
Vacant accommodations 568 835 885 635 1 028 742 724 868 982
  • (*) 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 93,0 91,0 90,1
Second dwellings and occasional dwellings 2,4 3,5 3,8
Vacant dwellings 4,7 5,6 6,0
  • 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 15 461 100,0 15 551 100,0 16 295 100,0
Houses 2 281 14,8 2 163 13,9 2 174 13,3
Flats 12 985 84,0 12 960 83,3 13 837 84,9
Others 194 1,3 427 2,7 284 1,7
  • 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 –229 –1,5 546 3,5
due to the household size effect 124 0,8 467 3,0
due to the demographic effect –353 –2,3 79 0,5
  • 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 14 373 100,0 14 143 100,0 14 689 100,0
1 room 1 802 12,5 1 925 13,6 1 845 12,6
2 rooms 4 143 28,8 4 077 28,8 4 245 28,9
3 rooms 4 446 30,9 4 294 30,4 4 452 30,3
4 rooms 2 495 17,4 2 403 17,0 2 504 17,0
5 rooms or above 1 487 10,3 1 444 10,2 1 643 11,2
  • 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 2,9 2,9 2,9
House 4,4 4,5 4,5
Flat 2,6 2,6 2,7
  • 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 39,3 39,5 39,4
Moderate over-occupation 21,1 21,0 19,5
Severe over-occupation 2,7 3,3 2,8
Moderate under-occupation 22,8 22,1 23,4
Severe under-occupation 9,2 9,4 9,3
Very severe under-occupation 5,0 4,7 5,6
  • 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 14 617 100,0
Before 1919 964 6,6
From 1919 to 1945 3 125 21,4
From 1946 to 1970 5 061 34,6
From 1971 to 1990 3 337 22,8
From 1991 to 2005 1 185 8,1
From 2006 to 2019 944 6,5
  • 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 354 578
From 1919 to 1945 886 2 160
From 1946 to 1970 385 4 621
From 1971 to 1990 151 3 151
From 1991 to 2005 134 1 006
From 2006 to 2018 113 816
  • 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 14 689 100,0 29 929 2,9 1,4
Less than 2 years ago 1 719 11,7 3 168 2,4 1,3
From 2 to 4 years ago 3 344 22,8 6 789 2,6 1,3
From 5 to 9 years ago 2 561 17,4 5 860 2,8 1,2
10 years ago or above 7 065 48,1 14 112 3,2 1,6
  • 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 11,7
From 2 to 4 years ago 22,8
From 5 to 9 years ago 17,4
From 10 to 19 years ago 19,5
From 20 to 29 years ago 12,8
30 years ago or above 15,8
  • 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 14 373 100,0 14 143 100,0 14 689 100,0 29 929 14,6
Homeowner 4 155 28,9 3 921 27,7 4 852 33,0 10 545 18,2
Tenant 9 754 67,9 9 764 69,0 9 417 64,1 18 555 13,0
including public tenants 5 769 40,1 5 518 39,0 5 601 38,1 12 044 17,2
Housed for free 464 3,2 458 3,2 420 2,9 828 10,3
  • 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 8 700 60,5 8 460 59,8 9 553 65,0
Fuel oil 900 6,3 1 023 7,2 756 5,1
Electricity 4 529 31,5 4 469 31,6 4 119 28,0
Bottled or tank gas 48 0,3 40 0,3 59 0,4
Other (wood, solar, geothermal, etc.) 196 1,4 152 1,1 202 1,4
  • 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 8 233 57,3 7 700 54,4 7 650 52,1
 1 car 6 933 48,2 6 595 46,6 6 740 45,9
 2 cars or above 1 300 9,0 1 106 7,8 911 6,2
  • 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 14 373 100,0 14 143 100,0 14 689 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 5 380 37,4 4 899 34,6 5 749 39,1
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Municipality of Malakoff (92046)

FOR T1 - Schooling by age in 2022

FOR T1 - Schooling by age in 2022
Age Scholarized population Total
2 to 5 years old 863 1 194
6 to 10 years old 1 623 1 665
11 to 14 years old 1 431 1 453
15 to 17 years old 1 062 1 095
18 to 24 years old 1 785 2 835
25 to 29 years old 327 2 421
30 years old or above 317 18 898
  • 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 69,4 75,4 72,2
6 to 10 years old 96,9 98,1 97,5
11 to 14 years old 99,3 97,7 98,5
15 to 17 years old 95,9 97,9 97,0
18 to 24 years old 59,4 66,9 63,0
25 to 29 years old 12,6 14,5 13,5
30 years old or above 1,7 1,6 1,7
  • 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 70,0 71,9 72,2
6 to 10 years old 98,3 97,3 97,5
11 to 14 years old 99,1 97,7 98,5
15 to 17 years old 96,9 96,5 97,0
18 to 24 years old 62,4 63,3 63,0
25 to 29 years old 12,2 11,7 13,5
30 years old or above 1,7 1,8 1,7
  • 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 10 293 11 464 21 757
No diploma or primary education certificate in % 15,4 17,2 16,4
BEPC brevet des collèges or DNB in % 3,9 4,3 4,1
CAP, BEP or equivalent in % 15,4 13,1 14,2
Baccalauréat, brevet professionnel or equivalent in % 15,8 14,9 15,3
2 years at university in % 10,1 10,1 10,1
3 to 4 years at university in % 12,1 16,7 14,5
5 years or more at university in % 27,3 23,9 25,5
  • 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 22,8 16,4
BEPC brevet des collèges or DNB 5,7 4,1
CAP, BEP or equivalent 17,0 14,2
Baccalauréat, brevet professionnel or equivalent 17,7 15,3
Higher education degree 36,7 50,1
  • 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 Malakoff (92046)

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 21 365 20 544 20 645
Working age adult in % 78,4 79,0 79,6
 Working age adults with a job in % 69,4 69,4 70,5
 Unemployed workers in % 9,0 9,7 9,2
Economically inactive people in % 21,6 21,0 20,4
 Pupils, students or interns in % 10,7 11,4 11,5
 Retirees in % 5,3 3,9 3,2
 Other economically inactive people in % 5,6 5,6 5,7
  • 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 20 645 16 435 79,6 14 545 70,5
 15 to 24 years old 3 930 1 511 38,5 1 179 30,0
 25 to 54 years old 13 024 12 141 93,2 10 847 83,3
 55 to 64 years old 3 691 2 783 75,4 2 519 68,2
Male 9 966 8 145 81,7 7 216 72,4
 15 to 24 years old 1 994 845 42,4 643 32,3
 25 to 54 years old 6 315 5 968 94,5 5 379 85,2
 55 to 64 years old 1 657 1 333 80,4 1 194 72,1
Female 10 679 8 289 77,6 7 329 68,6
 15 to 24 years old 1 936 667 34,4 536 27,7
 25 to 54 years old 6 709 6 173 92,0 5 468 81,5
 55 to 64 years old 2 034 1 450 71,3 1 325 65,1
  • 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 70,5
Unemployed workers 9,2
Retirees 3,2
Pupils, students or interns 11,5
Other economically inactive people 5,7
  • 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 16 765 14 841 16 236 14 251 16 476 14 680
including farmer operators 0 0 0 0 0 0
including handicrafters, traders and business leaders 578 510 670 583 601 561
including managers and higher intellectual professions 4 337 4 134 4 798 4 560 5 792 5 544
including intermediate professions 4 659 4 248 4 252 3 841 4 049 3 710
including employees 5 014 4 376 4 522 3 855 4 024 3 461
including workers 1 984 1 572 1 748 1 412 1 714 1 404
  • 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 1 933 1 987 1 890
Unemployment rate in % 11,5 12,2 11,5
Unemployment of the 15-24 aged 20,7 24,7 22,0
Unemployment of the 25-54 aged 10,6 11,0 10,7
Unemployment of the 55-64 aged 9,4 10,7 9,5
  • 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 21,5
BEPC brevet des collèges or DNB 16,3
CAP, BEP or equivalent 15,5
Baccalauréat, brevet professionnel or equivalent 14,7
2 years at university 10,3
3 to 4 years at university 10,8
5 years or more at university 5,6
  • 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 15 497 15 110 15 554
Working age adult living in the area 14 962 14 495 14 907
Occupational concentration by industry 103,6 104,2 104,3
employment rate of 15 years old or above in % 66,8 66,7 66,5
  • 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 15 497 100,0 15 110 100,0 15 554 100,0
Employee 14 182 91,5 13 594 90,0 13 887 89,3
 including women 6 372 41,1 6 134 40,6 6 301 40,5
 including part time jobs 1 826 11,8 1 619 10,7 1 408 9,1
Non-employee 1 315 8,5 1 516 10,0 1 667 10,7
 including women 454 2,9 522 3,5 616 4,0
 including part time jobs 249 1,6 251 1,7 355 2,3
  • 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 15 765 100,0
Farmer operators 0 0,0
Handicrafters, traders, business leaders 718 4,6
Managers and higher intellectual professions 6 566 41,7
Intermediate professions 4 188 26,6
Employees 2 841 18,0
Workers 1 451 9,2
  • 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 0,0 0,0
Handicrafters, traders, business leaders 3,6 5,0 4,6
Managers and higher intellectual professions 35,4 39,7 41,7
Intermediate professions 27,0 25,3 26,6
Employees 22,2 20,1 18,0
Workers 11,8 9,9 9,2
  • 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 15 360 100,0 15 154 100,0 15 765 100,0 44,1 90,5
Agriculture 10 0,1 0 0,0 4 0,0 100,0 100,0
Industry 504 3,3 444 2,9 496 3,1 37,0 91,5
Construction 775 5,0 743 4,9 920 5,8 14,4 92,8
Wholesale and retail trade/transports/accommodations and food service activities 10 049 65,4 10 427 68,8 11 112 70,5 42,0 89,5
Public administration/education/human health/social work 4 022 26,2 3 540 23,4 3 232 20,5 60,7 93,0
  • 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 100,0
Industry 38,6 19,8
Construction 15,1 4,4
Wholesale and retail trade, transports, accommodations and food service activities 43,0 34,0
Public administration, education, human health, social work 61,0 57,0
  • 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 Malakoff (92046)

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 14 900 100,0 14,8 50,1
Employees 13 244 88,9 13,5 51,6
Non-employees 1 656 11,1 25,1 38,4
  • 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 7 428 100 7 472 100
Employees 6 409 86,3 6 835 91,5
 Tenured personnel and open-ended employment contracts 5 484 73,8 5 804 77,7
 Fixed-term employment contracts 607 8,2 736 9,8
 Temporary employment 55 0,7 44 0,6
 Assisted jobs 14 0,2 7 0,1
 Apprentice ship contract - Traineeship 249 3,4 245 3,3
Non-employees 1 020 13,7 637 8,5
 Independents 649 8,7 437 5,8
 Employers 366 4,9 186 2,5
 Caregivers 4 0,1 14 0,2
  • 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 6 302 10,6 6 743 15,6
15 to 24 years old 603 30,6 508 28,6
25 to 54 years old 4 689 8,0 5 047 13,6
55 to 64 years old 1 009 10,8 1 188 19,0
  • 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 9,3 9,8 10,9
Female 21,2 19,8 16,0
  • 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 14 951 100 14 494 100 14 900 100
Working in their residential zone 2 953 19,8 2 795 19,3 2 561 17,2
Working in another zone 11 997 80,2 11 699 80,7 12 339 82,8
  • 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 3,1
Walking 11,9
Bicycle 11,5
Motorized two-wheeled vehicles 4,7
Car or truck 18,4
Public transports 50,5
  • 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 Malakoff (92046)

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 192 165 165 193 171 178 203 181 212 210
Domiciled births 402 371 351 346 361 343 355 316 314 310
  • 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 2023

Municipality of Malakoff (92046)

REV T1 - Median standard of living and poverty rate in 2023

REV T1 - Median standard of living and poverty rate in 2023
Median standard of living and poverty rate 2023
Median standard of living (in euros) 28 400
Poverty rate at 60% of the median (in %) 16,8
  • Note : For reasons of statistical confidentiality (s) or missing data (m), charts and tables may be incomplete.
  • Scope : Individuals belonging to tax households living in ordinary dwellings.
  • Source : INSEE–DGFiP–Cnaf–Cnav–CCMSA, Localised Social and Fiscal File (Filosofi), geographic reference as of 01/01/2025.

Salaries and earned income in 2023

Municipality of Malakoff (92046)

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 3 711 3 477 3 862
Managerial staff* 4 941 4 463 5 259
Intermediate professions 2 705 2 722 2 694
Employees 2 115 2 170 2 055
Workers 2 259 1 976 2 316
  • * 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 –10,0
Managerial staff* –15,1
Intermediate professions 1,0
Employees 5,6
Workers –14,7
  • * 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 1 931 1 903 1 948
25 to 39 years old 3 000 3 008 2 994
40 to 49 years old 3 918 3 705 4 052
50 to 54 years old 4 478 4 290 4 582
55 years old or older 4 703 4 008 5 129
  • 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 –2,3
25 to 39 years old 0,5
40 to 49 years old –8,6
50 to 54 years old –6,4
55 years old or older –21,9
  • 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 2024

Municipality of Malakoff (92046)

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2024

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2024
Sector of activity Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 931 100,0 118 629 82 52 50
Agriculture, forestry and fishing 0 0,0 0 0 0 0 0
Industrial economy 35 3,8 4 26 2 2 1
Building industry 78 8,4 10 52 10 2 4
Trade, transport, various services 737 79,2 96 516 53 37 35
General government, education, healthcare, social action 81 8,7 8 35 17 11 10
  • 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 2024

RES T2 - Number of employees by aggregate sector of activity and workforce size at the end of 2024
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 16 071 100,0 1 900 1 093 1 522 1 691 9 865
Agriculture, forestry and fishing 0 0,0 0 0 0 0 0
Industrial economy 545 3,4 96 28 75 0 346
Building industry 1 058 6,6 144 136 60 249 469
Trade, transport, various services 12 206 76,0 1 504 695 1 062 927 8 018
General government, education, healthcare, social action 2 262 14,1 156 234 325 515 1 032
  • 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 2024

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2024
Part
Agriculture, forestry and fishing 0,0
Industrial economy 3,8
Building industry 8,4
Trade, transport, various services 79,2
General government, education, healthcare, social action 8,7
  • 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 2024

  • 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 2024

RES G2 - Distribution of establishments by workforce size at the end of 2024
Part
50 or more employees 5,4
20 to 49 employees 5,6
10 to 19 employees 8,8
1 to 9 employees 67,6
0 employee 12,7
  • 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 2024

  • 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 2024

RES T3 - Establishments according to the spheres of the economy at the end of 2024
Economic sphere Establishments Employees
Number % Number %
Altogether 931 100,0 16 071 100,0
Productive sphere 358 38,5 6 981 43,4
of which public domain 2 0,2 43 0,3
Presential sphere 573 61,5 9 090 56,6
of which public domain 24 2,6 1 244 7,7
  • 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 2024

RES T5 - Individual employers in 2024
Individual employers
Number %
Altogether 1 533 100,0
Employers of childminders 225 14,7
Employers of other employees 1 308 85,3
  • 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 2025

Municipality of Malakoff (92046)

DEN T1 - Business set-ups by sector of activity in 2025

DEN T1 - Business set-ups by sector of activity in 2025
Sector of activity Company set-ups (Number) Of which sole proprietorships (%) Of which SARL (%) Of which SAS (%) Of which other societies (%)
Altogether 672 78,3 4,2 15,2 2,4
Industry 20 85,0 5,0 10,0 0,0
Construction 36 33,3 5,6 22,2 38,9
Wholesale and retail trade/transports/accommodations and food service activities 190 82,6 4,7 12,6 0,0
Information/communication 53 77,4 0,0 22,6 0,0
Finance and insurance activities 15 40,0 6,7 46,7 6,7
Real estate activities 18 44,4 16,7 38,9 0,0
Professional/scientific/technical activites/administrative and support service activities 199 80,9 4,0 14,6 0,5
Public administration/education/healthcare/social work 52 84,6 0,0 15,4 0,0
Other service activities 89 89,9 4,5 5,6 0,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Business Demography Information System (SIDE) 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 2025
Altogether 324 309 327 328 397 487 503 557 573 624 653 616 624 672
Sole proprietorship 217 206 231 226 276 369 403 430 459 488 476 464 482 526
SARL 65 55 49 41 27 22 26 28 24 27 36 34 27 28
SAS 33 46 42 60 92 91 72 92 88 106 136 116 114 102
Other societies 9 2 5 1 2 5 2 7 2 3 5 2 1 16
  • Scope: market activities outside agriculture.
  • Source: Insee, Business Demography Information System (SIDE) in geography as of 01/01/2025.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Business Demography Information System (SIDE) in geography as of 01/01/2025.

DEN T2 - Establishment set-ups by economic sectors in 2025

DEN T2 - Establishment set-ups by economic sectors in 2025
Sector of activity Altogether %
Altogether 738 100,0
Industry 21 2,8
Construction 31 4,2
Wholesale and retail trade/transports/accommodations and food service activities 205 27,8
Information/communication 62 8,4
Finance and insurance activities 17 2,3
Real estate activities 25 3,4
Professional/scientific/technical activites/administrative and support service activities 228 30,9
Public administration/education/healthcare/social work 57 7,7
Other service activities by the number of business creations including free lancers 92 12,5
  • Scope: market activities outside agriculture.
  • Source: Insee, Business Demography Information System (SIDE) 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 2025
Establishment set-ups 376 353 361 374 447 527 552 595 615 667 699 645 660 738
  • Scope: market activities outside agriculture.
  • Source: Insee, Business Demography Information System (SIDE) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Business Demography Information System (SIDE) in geography as of 01/01/2025.

Number of legal entities and establishments in 2023

Municipality of Malakoff (92046)

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 2 685 100,0
Industry 90 3,4
Construction 185 6,9
Wholesale and retail trade/transports/accommodations and food service activities 603 22,5
Information/communication 277 10,3
Finance and insurance activities 98 3,6
Real estate activities 110 4,1
Professional/scientific/technical activites/administrative and support service activities 690 25,7
Public administration/education/human health/social work 304 11,3
Other service activities 328 12,2
  • 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 2 934 100,0
Industry 101 3,4
Construction 201 6,9
Wholesale and retail trade/transports/accommodations and food service activities 667 22,7
Information/communication 311 10,6
Finance and insurance activities 119 4,1
Real estate activities 110 3,7
Professional/scientific/technical activites/administrative and support service activities 755 25,7
Public administration/education/human health/social work 330 11,2
Other service activities 340 11,6
  • 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 Malakoff (92046)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 4
Grocery store, convenience store 23
Bakery and pastry shop 20
Service station 3
Electric vehicle charging station 1
Hair salon 28
  • 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 10
Dentist 10
Physiotherapist 23
Nurse 6
Psychologist 13
Pharmacy 10
  • 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 13
Middle school 3
General and/or technological upper secondary school 0
Vocational or agricultural upper secondary school 1
Library 1
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

Tourism in 2026

Municipality of Malakoff (92046)

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 6 373
1 star 1 10
2 stars 3 78
3 stars 1 233
4 stars 1 52
5 stars 0 0
Non-ranked 0 0
  • 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 2 358
Tourist accommodations 2 358
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 2026

Municipality of Malakoff (92046)

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 Municipal election 2026
18 077 18 127 18 358 18 529 18 688
  • Note : The data on voters is extracted at the close of registration for the mentioned election.
  • Source : Insee, Unique electoral register in geography as of 01/01/2025.

Définitions

All the definitions of the concepts used are available in the Definitions section

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 covers individuals belonging to ordinary tax households whose disposable income is positive or zero.

The share of taxed households is calculated on the basis of households whose declared income is positive or zero.

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 field 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). They are offered at municipal level for France (excluding Mayotte).

The statistics concerning the outdoor hotel industry relate to the campsites offering sites for passing customers intended for tourists not electing domicile there, as well as on campsites offering pitches rented year-round, that is to say to a single customer for the entire opening period of the campsite.

Classified hotels and campsites are classified according to the new classification nomenclature implemented by the operator Atout France.

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 (projection of initial production in geography 2011, 2016, 2022) ;

Vital statistics: distribution to all municipalities in France in geography as of 2025 (projection of initial production in geography 2014 to 2024) ;

Localized Social and Fiscal File (Filosofi) : Data are published according to the geographical reference in force on 1 January 2025, but they were produced using the reference in force on 1 January 2024.
Consequently :

- Due to a municipal split that took effect on 01/01/2025, data are not available for the municipalities of Celles (15031), Chalinargues (15035), Chavagnac (15047), and Sainte-Anastasie (15171). These are included in the data for the municipality of Neussargues-Moissac (15141), corresponding to the municipality’s boundaries prior to the split.

- For municipalities that merged between 1 January 2024 and 1 January 2025, indicators are computed using the pre-merger geographic classification for the absorbing municipality, and are then applied to the boundary of the resulting merged municipality.

In addition, for the municipalities of L’Oie (85165) and Sainte-Florence (85212) and for the urban unit of Sainte-Florence (85139) that they form, the data are respectively included in the municipality of Essarts-en-Bocage (85084) and in the urban unit of Essarts-en-Bocage (85213). Similarly, data for the municipality of Suzan (09304) are included in those of the municipality of La Bastide (09042).

Data relating to Île-de-Sein and Île-de-Molène are not available.

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 (projection of initial production in geography 2023) ;

Localized Compensation and Employee Employment File (Flores): in geography as of 01/01/2025 (projection of the initial production in geography as of 01/01/2024) ;

Business Demography Information System (Side) - Business and establishment set-ups: distribution to all municipalities in France, in geography as of 01/01/2025 (projection of initial production in geography 2012 to 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 (projection of initial production in geography 2012 to 2023) ;

Permanent database of facilities: coverage across all municipalities in France, geography as of 01/01/2025 (projection of initial production in geography 2024) ;

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2025 (projection of initial production in geography 2025) ;

Insee, Single electoral register in geography as of 01/01/2025 (projection of initial production in geography 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 thresholds and statistical confidentiality of the Localised Social and Fiscal Database (Filosofi).

Data from Filosofi are subject to statistical and fiscal confidentiality.

Dissemination thresholds are based on the fiscal population (i.e. the number of individuals belonging to tax households). These thresholds are defined for disposable income indicators using the total number of individuals in the area whose standard of living is positive or zero.

No statistics are released for very small areas (fewer than 100 individuals). Only the median disposable income per consumption unit (or standard of living) is released for slightly larger areas (100 individuals or more). Other indicators are released for larger areas (2,000 individuals or more).

Indicators may be broken down by socio-demographic characteristics provided that the sub-population considered includes at least 500 individuals. For the poverty rate, it is also necessary to ensure compliance with fiscal confidentiality rules, namely that there are at least 11 poor households and 11 non-poor households.

Indicators are rounded in order to ensure a minimal level of uncertainty, thereby preserving secondary statistical confidentiality and avoiding any impression of excessive precision. For poverty rates, the rounding depends on the size of the population in the area (to the nearest odd integer for areas with fewer than 2,000 individuals; to the nearest whole number for areas with 2,000 to fewer than 20,000 individuals; and to one decimal place for areas with more than 20,000 individuals). In addition, when rates fall within the ranges 0%–3% and 97%–100%, the values are truncated to the thresholds of 3% and 97%, respectively.

Amounts in euros are rounded to the nearest ten, while other income indicators are rounded to one decimal place.

Shares of income components (as well as sub-component shares) are published for areas with 2,000 individuals or more, provided that the component (or sub-component, respectively) is non-zero for at least 11 tax-based households.

If a single component (or sub-component, respectively) does not meet this threshold, a second component (or sub-component, respectively) is also suppressed.

Suppression also applies to at least two sub-components when their combined sum is lower than the encompassing share before rounding.

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.

All the data presented takes into account all the creation of new municipalities (mergers), prior to the indicated geography.

Example: On January 1, 2024, the new municipality of Oullins-Pierre-Bénite (69149) is created, in place of the municipalities of Oullins (69149) and Pierre-Bénite (69152). All data published in the geographical area as of January 1, 2025, including data prior to 2024, correspond to the boundaries of the new municipality of Oullins-Pierre-Bénite.

However, in the case of the re-establishment of communes (splitting of communes), it is recommended to study the affected communes as a whole, rather than individually, to ensure the accuracy and comparability over time of the data. Indeed, for the communes concerned, depending on the initial geography of data production, some data may be unavailable or correspond to the boundaries of the commune before re-establishment.

Example: On January 1, 2017, the new commune of Neussargues en Pinatelle (15141) was created replacing the communes of Celles (15031), Chalinargues (15035), Chavagnac (15047), Neussargues-Moissac (15141), and Sainte-Anastasie (15171). The five communes were re-established on January 1, 2025. The data initially produced using the 2017–2024 geography refers to the boundaries of the new commune and therefore does not allow for the deduction of all data for the five re-established communes as of January 1, 2025. It is therefore recommended to study these five communes as a whole to ensure the accuracy and comparability of the data over time.

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.