données locales

Paru le : 05/05/2026

Full set of local data Municipality of Livry-Gargan (93046)

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 Livry-Gargan (93046)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 42 036 100,0 44 466 100,0 46 507 100,0
0 to 14 years old 8 306 19,8 9 372 21,1 10 194 21,9
15 to 29 years old 8 166 19,4 8 279 18,6 8 917 19,2
30 to 44 years old 8 941 21,3 9 654 21,7 9 853 21,2
45 to 59 years old 8 316 19,8 8 666 19,5 8 596 18,5
60 to 74 years old 4 753 11,3 5 237 11,8 5 792 12,5
75 and over 3 553 8,5 3 259 7,3 3 156 6,8
  • 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 19,8 21,1 21,9
15 to 29 years old 19,4 18,6 19,2
30 to 44 years old 21,3 21,7 21,2
45 to 59 years old 19,8 19,5 18,5
60 to 74 years old 11,3 11,8 12,5
75 and over 8,5 7,3 6,8
  • 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 32 063 32 917 32 778 35 387 37 288 41 556 42 036 44 466 46 507
Average density (inhab / km²) 4 344,6 4 460,3 4 441,5 4 795,0 5 052,6 5 630,9 5 695,9 6 025,2 6 301,8
  • (*) 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 % 0,4 –0,1 1,0 0,6 1,6 0,2 1,1 0,8
due to the natural balance in % 0,7 0,3 0,4 0,5 0,6 0,9 1,1 1,1
due to the apparent balance of inflows and outflows in % –0,3 –0,4 0,6 0,1 0,9 –0,6 0,1 –0,4
Natality rate (‰) 16,6 13,7 13,5 13,6 13,9 16,0 17,8 18,2
Mortality rate (‰) 10,1 10,4 9,9 8,9 7,7 7,2 7,0 6,9
  • 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 22 460 100,0 24 047 100,0
0 to 14 years old 5 179 23,1 5 015 20,9
15 to 29 years old 4 320 19,2 4 596 19,1
30 to 44 years old 4 858 21,6 4 996 20,8
45 to 59 years old 4 220 18,8 4 376 18,2
60 to 74 years old 2 696 12,0 3 096 12,9
75 to 89 years old 1 079 4,8 1 631 6,8
90 years and over 109 0,5 337 1,4
  • 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 22 460 100,0 24 047 100,0
0 to 19 years old 6 883 30,6 6 378 26,5
20 to 64 years old 12 832 57,1 13 786 57,3
65 and over 2 745 12,2 3 882 16,1
  • 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 41 362 100,0 43 724 100,0 45 794 100,0
In the same house 37 310 90,2 39 494 90,3 41 936 91,6
In another house in the same town 1 360 3,3 1 275 2,9 1 131 2,5
In another town 2 692 6,5 2 955 6,8 2 728 6,0
  • 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 35,5 64,5
15 to 24 years old 25,4 74,6
25 to 54 years old 27,7 72,3
55 years old and over 29,8 70,2
  • 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 33 723 100,0 35 092 100,0 36 174 100,0
Farmer operators 5 0,0 1 0,0 0 0,0
Craftsmen, traders, business leaders 1 179 3,5 1 258 3,6 1 281 3,5
Managers and higher intellectual professions 2 862 8,5 2 871 8,2 3 474 9,6
Middle-level occupations 6 223 18,5 6 275 17,9 6 272 17,3
Services employee 6 455 19,1 6 932 19,8 6 900 19,1
Blue-collar workers 3 867 11,5 3 985 11,4 4 149 11,5
Retirees 7 639 22,7 7 306 20,8 7 108 19,6
Other people with no professional activity 5 493 16,3 6 465 18,4 6 990 19,3
  • 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 17 299 18 875 100,0 100,0 100,0
Farmer operators 0 0 0,0 0,0 0,0
Craftsmen, traders, business leaders 1 010 271 0,6 5,0 2,6
Managers and higher intellectual professions 1 958 1 516 3,2 13,6 6,4
Middle-level occupations 2 951 3 321 9,5 25,2 8,5
Services employee 1 936 4 964 13,6 27,1 8,8
Blue-collar workers 3 509 640 6,9 16,4 5,7
Retirees 2 978 4 130 0,0 0,1 61,3
Other people with no professional activity 2 956 4 034 66,2 12,6 6,8
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Municipality of Livry-Gargan (93046)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 17 431 100,0 18 055 100,0 18 678 100,0 41 459 43 811 46 032
One-person households (male and female) 5 722 32,8 6 015 33,3 6 367 34,1 5 722 6 015 6 367
 Single Male 2 197 12,6 2 497 13,8 2 824 15,1 2 197 2 497 2 824
 Single Female 3 524 20,2 3 519 19,5 3 543 19,0 3 524 3 519 3 543
Other households without families 485 2,8 398 2,2 302 1,6 1 173 1 015 690
Family households : 11 224 64,4 11 642 64,5 12 008 64,3 34 565 36 780 38 974
 Couple without children 3 956 22,7 3 843 21,3 3 532 18,9 8 142 8 096 7 359
 Couple with children 5 381 30,9 5 595 31,0 6 013 32,2 21 382 22 670 24 700
 Single parent 1 887 10,8 2 204 12,2 2 462 13,2 5 041 6 014 6 916
  • 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 3,11 2,79 2,56 2,53 2,40 2,38 2,38 2,43 2,47
  • (*) 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 0,6 0,6 0,6
20 to 24 years old 8,7 5,5 7,4
25 to 39 years old 15,1 15,1 14,2
40 to 54 years old 12,4 14,9 14,9
55 to 64 years old 18,8 22,0 21,5
65 to 79 years old 29,6 26,6 28,1
80 and above 50,8 48,3 49,9
  • 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 2,4 2,7 0,9
20 to 24 years old 24,3 21,3 17,2
25 to 39 years old 65,7 64,5 65,3
40 to 54 years old 72,4 69,1 69,6
55 to 64 years old 71,8 67,8 69,7
65 to 79 years old 64,1 66,2 65,4
80 and above 37,7 39,1 37,1
  • 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 44,2
Civil partnership 3,2
In cohabitation 9,8
Widowed 5,7
Divorced 6,2
Single 30,8
  • 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 18 678 100,0 46 032 100,0
including farmer operators 0 0,0 0 0,0
including craftsmen, traders, business leaders 967 5,2 3 182 6,9
including managers and higher intellectual professions 2 150 11,5 5 609 12,2
including intermediate professions 3 828 20,5 9 817 21,3
including employees 3 878 20,8 10 299 22,4
including workers 2 890 15,5 8 807 19,1
  • 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 5,2
Managers and higher intellectual professions 11,5
Intermediate professions 20,5
Employees 20,8
Workers 15,5
  • 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 11 381 100,0 11 880 100,0 12 294 100,0
Couple with children 5 412 47,6 5 649 47,6 6 054 49,2
Single parent 1 950 17,1 2 325 19,6 2 595 21,1
 Male single parent 313 2,7 399 3,4 379 3,1
 Female single parent 1 638 14,4 1 926 16,2 2 216 18,0
Couple without children 4 019 35,3 3 906 32,9 3 645 29,6
  • 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 6 054 100,0
Traditional family 5 434 89,8
Blended family 620 10,2
  • 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 11 381 100,0 11 880 100,0 12 294 100,0
Without any 4 737 41,6 4 679 39,4 4 583 37,3
1 child 2 917 25,6 3 134 26,4 3 015 24,5
2 children 2 506 22,0 2 638 22,2 2 802 22,8
3 children 933 8,2 1 058 8,9 1 388 11,3
4 children or above 289 2,5 372 3,1 507 4,1
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Municipality of Livry-Gargan (93046)

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 10 737 12 825 13 587 14 925 16 799 17 955 18 366 19 227 20 427
Principal residences 10 146 11 649 12 632 13 842 15 382 17 177 17 436 18 057 18 666
Second dwellings and occasional dwellings 165 188 153 192 191 114 121 181 256
Vacant accommodations 426 988 802 891 1 226 664 809 989 1 505
  • (*) 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 94,9 93,9 91,4
Second dwellings and occasional dwellings 0,7 0,9 1,3
Vacant dwellings 4,4 5,1 7,4
  • 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 18 366 100,0 19 227 100,0 20 427 100,0
Houses 7 568 41,2 7 550 39,3 7 426 36,4
Flats 10 650 58,0 11 566 60,2 12 908 63,2
Others 147 0,8 111 0,6 93 0,5
  • 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 621 3,4 609 3,2
due to the household size effect –347 –1,9 –290 –1,5
due to the demographic effect 968 5,3 899 4,7
  • 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 17 436 100,0 18 057 100,0 18 666 100,0
1 room 1 504 8,6 1 419 7,9 1 290 6,9
2 rooms 3 409 19,6 3 984 22,1 4 213 22,6
3 rooms 5 097 29,2 4 998 27,7 5 359 28,7
4 rooms 3 927 22,5 4 146 23,0 3 964 21,2
5 rooms or above 3 499 20,1 3 510 19,4 3 839 20,6
  • 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 3,4 3,4 3,4
House 4,3 4,4 4,5
Flat 2,7 2,7 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 30,4 32,1 33,0
Moderate over-occupation 15,7 16,3 16,6
Severe over-occupation 2,6 3,5 4,0
Moderate under-occupation 26,9 24,1 23,2
Severe under-occupation 15,0 14,9 13,0
Very severe under-occupation 9,4 9,0 10,2
  • 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 18 270 100,0
Before 1919 587 3,2
From 1919 to 1945 1 782 9,8
From 1946 to 1970 4 796 26,3
From 1971 to 1990 5 495 30,1
From 1991 to 2005 3 176 17,4
From 2006 to 2019 2 434 13,3
  • 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 373 211
From 1919 to 1945 1 442 329
From 1946 to 1970 2 058 2 708
From 1971 to 1990 1 915 3 575
From 1991 to 2005 791 2 372
From 2006 to 2018 415 2 006
  • 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 18 666 100,0 46 039 3,4 1,4
Less than 2 years ago 2 138 11,5 4 671 2,7 1,2
From 2 to 4 years ago 4 143 22,2 10 233 2,9 1,2
From 5 to 9 years ago 3 807 20,4 10 945 3,3 1,1
10 years ago or above 8 577 46,0 20 191 3,8 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 11,5
From 2 to 4 years ago 22,2
From 5 to 9 years ago 20,4
From 10 to 19 years ago 21,3
From 20 to 29 years ago 10,8
30 years ago or above 13,8
  • 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 17 436 100,0 18 057 100,0 18 666 100,0 46 039 13,6
Homeowner 10 657 61,1 10 363 57,4 10 183 54,6 25 376 18,1
Tenant 6 375 36,6 7 305 40,5 8 009 42,9 19 624 7,8
including public tenants 2 200 12,6 2 818 15,6 3 009 16,1 8 016 10,9
Housed for free 404 2,3 388 2,1 473 2,5 1 039 13,6
  • 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 9 338 53,6 10 043 55,6 10 600 56,8
Fuel oil 2 077 11,9 1 354 7,5 870 4,7
Electricity 5 712 32,8 6 389 35,4 6 862 36,8
Bottled or tank gas 65 0,4 51 0,3 86 0,5
Other (wood, solar, geothermal, etc.) 244 1,4 221 1,2 247 1,3
  • 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 14 029 80,5 14 505 80,3 14 828 79,4
 1 car 9 392 53,9 9 830 54,4 10 106 54,1
 2 cars or above 4 637 26,6 4 675 25,9 4 721 25,3
  • 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 17 436 100,0 18 057 100,0 18 666 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 11 493 65,9 12 053 66,7 12 786 68,5
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Municipality of Livry-Gargan (93046)

FOR T1 - Schooling by age in 2022

FOR T1 - Schooling by age in 2022
Age Scholarized population Total
2 to 5 years old 2 052 2 842
6 to 10 years old 3 169 3 272
11 to 14 years old 2 604 2 680
15 to 17 years old 1 827 1 926
18 to 24 years old 2 103 3 835
25 to 29 years old 254 3 155
30 years old or above 298 27 397
  • 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 71,1 73,2 72,2
6 to 10 years old 96,5 97,3 96,9
11 to 14 years old 97,0 97,4 97,2
15 to 17 years old 94,4 95,4 94,8
18 to 24 years old 52,9 56,6 54,8
25 to 29 years old 5,5 10,0 8,1
30 years old or above 0,9 1,2 1,1
  • 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 69,9 69,2 72,2
6 to 10 years old 98,3 95,7 96,9
11 to 14 years old 97,9 97,1 97,2
15 to 17 years old 95,7 94,5 94,8
18 to 24 years old 52,9 53,0 54,8
25 to 29 years old 4,2 6,3 8,1
30 years old or above 1,0 1,1 1,1
  • 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 15 043 16 789 31 832
No diploma or primary education certificate in % 23,8 22,9 23,4
BEPC brevet des collèges or DNB in % 5,2 5,6 5,4
CAP, BEP or equivalent in % 23,8 18,2 20,9
Baccalauréat, brevet professionnel or equivalent in % 19,0 19,9 19,5
2 years at university in % 10,9 12,8 11,9
3 to 4 years at university in % 8,3 11,9 10,2
5 years or more at university in % 9,0 8,6 8,8
  • 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 28,1 23,4
BEPC brevet des collèges or DNB 7,3 5,4
CAP, BEP or equivalent 21,9 20,9
Baccalauréat, brevet professionnel or equivalent 19,1 19,5
Higher education degree 23,6 30,9
  • 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 Livry-Gargan (93046)

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 27 513 28 769 29 686
Working age adult in % 75,2 74,9 75,1
 Working age adults with a job in % 66,8 65,4 65,3
 Unemployed workers in % 8,3 9,5 9,8
Economically inactive people in % 24,8 25,1 24,9
 Pupils, students or interns in % 9,5 10,1 10,9
 Retirees in % 6,5 4,9 3,9
 Other economically inactive people in % 8,8 10,2 10,2
  • 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 29 686 22 279 75,1 19 382 65,3
 15 to 24 years old 5 762 2 202 38,2 1 663 28,9
 25 to 54 years old 18 788 16 647 88,6 14 679 78,1
 55 to 64 years old 5 136 3 431 66,8 3 040 59,2
Male 14 537 11 351 78,1 9 937 68,4
 15 to 24 years old 2 976 1 105 37,1 777 26,1
 25 to 54 years old 9 023 8 447 93,6 7 573 83,9
 55 to 64 years old 2 538 1 799 70,9 1 587 62,5
Female 15 149 10 928 72,1 9 446 62,3
 15 to 24 years old 2 786 1 097 39,4 886 31,8
 25 to 54 years old 9 766 8 200 84,0 7 107 72,8
 55 to 64 years old 2 598 1 631 62,8 1 453 55,9
  • 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 65,3
Unemployed workers 9,8
Retirees 3,9
Pupils, students or interns 10,9
Other economically inactive people 10,2
  • 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 20 680 18 383 21 549 18 813 22 293 19 370
including farmer operators 5 5 1 1 0 0
including handicrafters, traders and business leaders 1 139 1 067 1 238 1 117 1 232 1 132
including managers and higher intellectual professions 2 836 2 702 2 820 2 708 3 397 3 172
including intermediate professions 6 184 5 769 6 221 5 750 6 237 5 763
including employees 6 404 5 670 6 870 5 907 6 829 5 728
including workers 3 837 3 170 3 960 3 330 4 095 3 576
  • 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 2 294 2 736 2 897
Unemployment rate in % 11,1 12,7 13,0
Unemployment of the 15-24 aged 22,1 27,2 24,5
Unemployment of the 25-54 aged 10,1 11,4 11,8
Unemployment of the 55-64 aged 7,9 11,0 11,4
  • 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 19,2
BEPC brevet des collèges or DNB 16,7
CAP, BEP or equivalent 13,1
Baccalauréat, brevet professionnel or equivalent 14,4
2 years at university 9,4
3 to 4 years at university 10,8
5 years or more at university 7,5
  • 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 8 613 8 830 8 808
Working age adult living in the area 18 584 19 023 19 667
Occupational concentration by industry 46,3 46,4 44,8
employment rate of 15 years old or above in % 61,9 62,0 62,2
  • 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 8 613 100,0 8 830 100,0 8 808 100,0
Employee 7 401 85,9 7 596 86,0 7 436 84,4
 including women 3 973 46,1 4 223 47,8 4 117 46,7
 including part time jobs 1 312 15,2 1 289 14,6 1 073 12,2
Non-employee 1 212 14,1 1 235 14,0 1 372 15,6
 including women 408 4,7 393 4,5 471 5,3
 including part time jobs 107 1,2 155 1,8 174 2,0
  • 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 8 763 100,0
Farmer operators 0 0,0
Handicrafters, traders, business leaders 865 9,9
Managers and higher intellectual professions 1 325 15,1
Intermediate professions 2 295 26,2
Employees 2 814 32,1
Workers 1 463 16,7
  • 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 0,1 0,0
Handicrafters, traders, business leaders 9,3 8,5 9,9
Managers and higher intellectual professions 12,1 11,7 15,1
Intermediate professions 26,0 26,3 26,2
Employees 32,8 35,6 32,1
Workers 19,7 17,9 16,7
  • 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 8 959 100,0 9 036 100,0 8 763 100,0 51,2 85,4
Agriculture 0 0,0 3 0,0 0 0,0 nd nd
Industry 494 5,5 406 4,5 229 2,6 21,2 90,3
Construction 981 10,9 988 10,9 1 012 11,5 11,0 73,5
Wholesale and retail trade/transports/accommodations and food service activities 4 033 45,0 4 002 44,3 3 898 44,5 43,7 80,0
Public administration/education/human health/social work 3 451 38,5 3 637 40,2 3 625 41,4 72,3 94,1
  • 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
Industry 20,7 26,1
Construction 13,9 2,9
Wholesale and retail trade, transports, accommodations and food service activities 47,8 27,5
Public administration, education, human health, social work 73,1 58,7
  • 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 Livry-Gargan (93046)

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 19 644 100,0 12,0 48,7
Employees 17 759 90,4 12,1 50,6
Non-employees 1 885 9,6 11,8 30,3
  • 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 10 078 100 9 566 100
Employees 8 765 87,0 8 994 94,0
 Tenured personnel and open-ended employment contracts 7 705 76,5 7 759 81,1
 Fixed-term employment contracts 574 5,7 731 7,6
 Temporary employment 184 1,8 139 1,5
 Assisted jobs 18 0,2 15 0,2
 Apprentice ship contract - Traineeship 283 2,8 349 3,7
Non-employees 1 313 13,0 572 6,0
 Independents 708 7,0 404 4,2
 Employers 602 6,0 158 1,7
 Caregivers 3 0,0 10 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 8 684 6,9 8 905 16,7
15 to 24 years old 744 27,9 853 33,8
25 to 54 years old 6 637 4,9 6 669 14,5
55 to 64 years old 1 303 4,8 1 383 16,8
  • 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 6,2 6,9 7,1
Female 18,4 17,8 16,9
  • 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 18 573 100 19 012 100 19 644 100
Working in their residential zone 3 281 17,7 3 585 18,9 3 210 16,3
Working in another zone 15 292 82,3 15 427 81,1 16 434 83,7
  • 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 2,4
Walking 4,7
Bicycle 2,4
Motorized two-wheeled vehicles 2,1
Car or truck 55,0
Public transports 33,4
  • 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 Livry-Gargan (93046)

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 332 285 312 296 294 355 336 339 299 308
Domiciled births 804 817 817 863 804 847 812 847 863 868
  • 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 Livry-Gargan (93046)

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) 23 730
Poverty rate at 60% of the median (in %) 22,5
  • 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 Livry-Gargan (93046)

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 2 116 2 147 2 099
Managerial staff* 3 572 3 826 3 465
Intermediate professions 2 633 2 648 2 616
Employees 1 827 1 809 1 858
Workers 1 772 1 645 1 783
  • * 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 2,3
Managerial staff* 10,4
Intermediate professions 1,2
Employees –2,7
Workers –7,7
  • * 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 1 693 1 798 1 632
25 to 39 years old 2 054 2 139 2 007
40 to 49 years old 2 149 2 161 2 142
50 to 54 years old 2 224 2 127 2 291
55 years old or older 2 392 2 348 2 420
  • 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 10,2
25 to 39 years old 6,6
40 to 49 years old 0,9
50 to 54 years old –7,2
55 years old or older –3,0
  • 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 Livry-Gargan (93046)

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 1 168 100,0 139 862 108 36 23
Agriculture, forestry and fishing 0 0,0 0 0 0 0 0
Industrial economy 32 2,7 3 21 5 3 0
Building industry 344 29,5 55 247 32 8 2
Trade, transport, various services 674 57,7 67 538 46 16 7
General government, education, healthcare, social action 118 10,1 14 56 25 9 14
  • 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 8 875 100,0 2 604 1 476 1 070 794 2 931
Agriculture, forestry and fishing 0 0,0 0 0 0 0 0
Industrial economy 220 2,5 88 72 60 0 0
Building industry 1 589 17,9 793 409 229 51 107
Trade, transport, various services 3 725 42,0 1 525 625 513 225 837
General government, education, healthcare, social action 3 341 37,6 198 370 268 518 1 987
  • 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 2,7
Building industry 29,5
Trade, transport, various services 57,7
General government, education, healthcare, social action 10,1
  • 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 2,0
20 to 49 employees 3,1
10 to 19 employees 9,2
1 to 9 employees 73,8
0 employee 11,9
  • 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 1 168 100,0 8 875 100,0
Productive sphere 213 18,2 1 354 15,3
of which public domain 1 0,1 18 0,2
Presential sphere 955 81,8 7 521 84,7
of which public domain 34 2,9 2 422 27,3
  • 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 1 131 100,0
Employers of childminders 388 34,3
Employers of other employees 743 65,7
  • 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 Livry-Gargan (93046)

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 1 142 75,8 2,5 20,9 0,8
Industry 29 89,7 0,0 10,3 0,0
Construction 184 58,2 5,4 33,2 3,3
Wholesale and retail trade/transports/accommodations and food service activities 410 77,8 2,7 19,0 0,5
Information/communication 50 74,0 0,0 26,0 0,0
Finance and insurance activities 10 10,0 0,0 80,0 10,0
Real estate activities 21 71,4 0,0 28,6 0,0
Professional/scientific/technical activites/administrative and support service activities 249 77,1 1,6 21,3 0,0
Public administration/education/healthcare/social work 90 88,9 1,1 10,0 0,0
Other service activities 99 89,9 2,0 8,1 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 379 399 444 428 453 541 602 703 798 978 911 947 1 119 1 142
Sole proprietorship 235 265 280 265 234 325 411 502 594 690 635 703 862 866
SARL 122 104 99 73 87 73 62 60 60 63 56 37 24 28
SAS 21 28 61 88 131 140 127 138 142 219 218 203 230 239
Other societies 1 2 4 2 1 3 2 3 2 6 2 4 3 9
  • 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 1 196 100,0
Industry 32 2,7
Construction 187 15,6
Wholesale and retail trade/transports/accommodations and food service activities 433 36,2
Information/communication 56 4,7
Finance and insurance activities 10 0,8
Real estate activities 26 2,2
Professional/scientific/technical activites/administrative and support service activities 263 22,0
Public administration/education/healthcare/social work 91 7,6
Other service activities by the number of business creations including free lancers 98 8,2
  • 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 409 437 452 471 492 532 607 739 840 997 931 967 1 151 1 196
  • 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 Livry-Gargan (93046)

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 2 918 100,0
Industry 69 2,4
Construction 575 19,7
Wholesale and retail trade/transports/accommodations and food service activities 940 32,2
Information/communication 113 3,9
Finance and insurance activities 73 2,5
Real estate activities 91 3,1
Professional/scientific/technical activites/administrative and support service activities 460 15,8
Public administration/education/human health/social work 359 12,3
Other service activities 238 8,2
  • 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 3 170 100,0
Industry 76 2,4
Construction 611 19,3
Wholesale and retail trade/transports/accommodations and food service activities 1 022 32,2
Information/communication 120 3,8
Finance and insurance activities 89 2,8
Real estate activities 98 3,1
Professional/scientific/technical activites/administrative and support service activities 501 15,8
Public administration/education/human health/social work 400 12,6
Other service activities 253 8,0
  • 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 Livry-Gargan (93046)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 12
Grocery store, convenience store 34
Bakery and pastry shop 22
Service station 6
Electric vehicle charging station 10
Hair salon 54
  • 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 25
Dentist 15
Physiotherapist 29
Nurse 56
Psychologist 10
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 23
Middle school 4
General and/or technological upper secondary school 2
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 Livry-Gargan (93046)

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 15
1 star 0 0
2 stars 0 0
3 stars 0 0
4 stars 0 0
5 stars 0 0
Non-ranked 1 15
  • 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 2026

Municipality of Livry-Gargan (93046)

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
22 031 21 856 22 264 22 463 23 084
  • 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.