données locales

Paru le : 02/09/2025

Full set of local data Employment area 2020 of Marmande (7518)

Detailed figures
Paru le :Paru le02/09/2025
- September 2025

The data presented are disseminated according to the 2025 geography.

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

Growth and structure of the population in 2022

Employment area 2020 of Marmande (7518)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
Age 2011 % 2016 % 2022 %
Altogether 100 743 100,0 101 766 100,0 101 681 100,0
0 to 14 years old 16 152 16,0 16 163 15,9 15 162 14,9
15 to 29 years old 13 979 13,9 13 723 13,5 13 346 13,1
30 to 44 years old 17 146 17,0 16 329 16,0 15 723 15,5
45 to 59 years old 21 016 20,9 20 738 20,4 20 218 19,9
60 to 74 years old 19 221 19,1 21 079 20,7 22 584 22,2
75 and over 13 229 13,1 13 734 13,5 14 648 14,4
  • 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 16,0 15,9 14,9
15 to 29 years old 13,9 13,5 13,1
30 to 44 years old 17,0 16,0 15,5
45 to 59 years old 20,9 20,4 19,9
60 to 74 years old 19,1 20,7 22,2
75 and over 13,1 13,5 14,4
  • 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 94 385 93 726 94 196 95 023 93 369 96 684 100 743 101 766 101 681
Average density (inhab / km²) 44,1 43,8 44,1 44,4 43,7 45,2 47,1 47,6 47,6
  • (*) 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 % –0,1 0,1 0,1 –0,2 0,5 0,8 0,2 –0,0
due to the natural balance in % 0,1 –0,1 –0,1 –0,2 –0,2 –0,1 –0,2 –0,5
due to the apparent balance of inflows and outflows in % –0,2 0,2 0,2 0,1 0,7 1,0 0,4 0,4
Natality rate (‰) 13,5 11,5 10,7 9,3 9,7 9,9 9,4 8,4
Mortality rate (‰) 12,8 12,4 12,0 11,8 11,8 11,3 11,9 13,0
  • 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 49 326 100,0 52 355 100,0
0 to 14 years old 7 787 15,8 7 376 14,1
15 to 29 years old 6 933 14,1 6 413 12,2
30 to 44 years old 7 709 15,6 8 014 15,3
45 to 59 years old 9 861 20,0 10 356 19,8
60 to 74 years old 10 893 22,1 11 691 22,3
75 to 89 years old 5 507 11,2 7 007 13,4
90 years and over 635 1,3 1 499 2,9
  • 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 49 326 100,0 52 355 100,0
0 to 19 years old 10 526 21,3 9 924 19,0
20 to 64 years old 25 438 51,6 26 140 49,9
65 and over 13 362 27,1 16 291 31,1
  • 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 99 694 100,0 100 830 100,0 100 848 100,0
In the same house 87 962 88,2 89 637 88,9 90 530 89,8
In another house in the same town 3 251 3,3 3 451 3,4 2 878 2,9
In another town 8 481 8,5 7 742 7,7 7 440 7,4
  • 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 31,4 68,6
15 to 24 years old 23,6 76,4
25 to 54 years old 28,1 71,9
55 years old and over 27,8 72,2
  • 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 84 726 100,0 85 818 100,0 86 502 100,0
Farmer operators 2 331 2,8 1 966 2,3 1 776 2,1
Craftsmen, traders, business leaders 3 639 4,3 3 622 4,2 3 902 4,5
Managers and higher intellectual professions 3 000 3,5 3 084 3,6 3 707 4,3
Middle-level occupations 7 895 9,3 8 488 9,9 9 134 10,6
Services employee 12 126 14,3 11 873 13,8 11 864 13,7
Blue-collar workers 13 730 16,2 13 477 15,7 13 140 15,2
Retirees 30 614 36,1 31 362 36,5 32 323 37,4
Other people with no professional activity 11 391 13,4 11 945 13,9 10 658 12,3
  • 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 41 788 44 715 100,0 100,0 100,0
Farmer operators 1 251 525 0,3 2,8 1,9
Craftsmen, traders, business leaders 2 700 1 202 0,5 8,0 2,8
Managers and higher intellectual professions 2 108 1 599 0,7 8,2 2,2
Middle-level occupations 4 095 5 039 9,6 19,8 3,9
Services employee 2 368 9 496 15,5 24,1 5,7
Blue-collar workers 10 009 3 131 18,8 27,0 5,6
Retirees 15 186 17 136 0,0 0,5 72,7
Other people with no professional activity 4 071 6 586 54,7 9,5 5,2
  • Source: Insee, RP2022 additional operation, geography as of 01/01/2025.

Couples – Family – Households in 2022

Employment area 2020 of Marmande (7518)

FAM T1 - Households by composition

FAM T1 - Households by composition
Household type Number of households Household population
2011 % 2016 % 2022 % 2011 2016 2022
Altogether 45 036 100,0 46 080 100,0 47 916 100,0 98 505 99 243 99 559
One-person households (male and female) 14 565 32,3 15 545 33,7 17 721 37,0 14 565 15 545 17 721
 Single Male 5 927 13,2 6 662 14,5 7 928 16,5 5 927 6 662 7 928
 Single Female 8 639 19,2 8 882 19,3 9 793 20,4 8 639 8 882 9 793
Other households without families 1 123 2,5 802 1,7 567 1,2 2 730 1 912 1 214
Family households : 29 348 65,2 29 734 64,5 29 629 61,8 81 210 81 787 80 624
 Couple without children 15 112 33,6 15 160 32,9 15 400 32,1 31 358 31 035 31 567
 Couple with children 10 675 23,7 10 550 22,9 9 903 20,7 40 599 40 500 37 985
 Single parent 3 560 7,9 4 024 8,7 4 326 9,0 9 253 10 252 11 072
  • 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 3,24 3,00 2,78 2,58 2,36 2,25 2,19 2,15 2,08
  • (*) 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 2,0 2,5 2,9
20 to 24 years old 13,3 15,1 15,4
25 to 39 years old 11,5 12,0 14,6
40 to 54 years old 12,9 13,6 14,7
55 to 64 years old 17,4 19,5 22,0
65 to 79 years old 23,8 23,7 26,3
80 and above 43,3 42,4 44,1
  • 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 2,9 2,8 2,2
20 to 24 years old 32,0 30,5 30,4
25 to 39 years old 70,3 69,6 67,6
40 to 54 years old 73,5 71,6 70,8
55 to 64 years old 75,3 73,0 70,0
65 to 79 years old 69,8 70,7 69,5
80 and above 39,5 42,7 43,1
  • 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 44,3
Civil partnership 5,1
In cohabitation 12,0
Widowed 8,7
Divorced 7,3
Single 22,7
  • 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 47 916 100,0 99 559 100,0
including farmer operators 1 253 2,6 3 253 3,3
including craftsmen, traders, business leaders 2 698 5,6 7 206 7,2
including managers and higher intellectual professions 2 487 5,2 6 355 6,4
including intermediate professions 5 534 11,6 13 110 13,2
including employees 6 538 13,6 15 484 15,6
including workers 8 594 17,9 21 693 21,8
  • 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 2,6
Handicrafters, traders, business leaders 5,6
Managers and higher intellectual professions 5,2
Intermediate professions 11,6
Employees 13,6
Workers 17,9
  • Sources : Insee, RP2022 additional operation, geography as of 01/01/2025.

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

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

FAM T3 - Families composition

FAM T3 - Families composition
Type of family 2011 % 2016 % 2022 %
Altogether 29 563 100,0 29 933 100,0 29 894 100,0
Couple with children 10 716 36,2 10 583 35,4 9 926 33,2
Single parent 3 652 12,4 4 134 13,8 4 474 15,0
 Male single parent 597 2,0 935 3,1 1 087 3,6
 Female single parent 3 055 10,3 3 199 10,7 3 387 11,3
Couple without children 15 194 51,4 15 216 50,8 15 493 51,8
  • 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 9 926 100,0
Traditional family 8 429 84,9
Blended family 1 497 15,1
  • 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 29 563 100,0 29 933 100,0 29 894 100,0
Without any 16 944 57,3 17 286 57,8 17 477 58,5
1 child 5 826 19,7 5 632 18,8 5 644 18,9
2 children 4 828 16,3 5 015 16,8 4 775 16,0
3 children 1 476 5,0 1 473 4,9 1 414 4,7
4 children or above 489 1,7 526 1,8 583 2,0
  • Sources : Insee, RP2011, RP2016 and RP2022, additional operations, geography as of 01/01/2025.

Housing in 2022

Employment area 2020 of Marmande (7518)

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 33 106 36 305 39 928 43 815 45 277 49 189 53 467 55 760 57 959
Principal residences 28 701 30 675 33 315 36 085 38 601 41 985 44 990 46 124 47 945
Second dwellings and occasional dwellings 1 170 1 580 2 364 2 831 2 985 2 938 3 158 3 413 3 534
Vacant accommodations 3 235 4 050 4 249 4 899 3 691 4 266 5 319 6 223 6 480
  • (*) 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 84,1 82,7 82,7
Second dwellings and occasional dwellings 5,9 6,1 6,1
Vacant dwellings 9,9 11,2 11,2
  • 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 53 467 100,0 55 760 100,0 57 959 100,0
Houses 45 079 84,3 47 497 85,2 48 608 83,9
Flats 7 990 14,9 7 901 14,2 8 962 15,5
Others 398 0,7 362 0,6 390 0,7
  • 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 1 134 2,1 1 821 3,3
due to the household size effect 666 1,2 1 741 3,1
due to the demographic effect 468 0,9 80 0,1
  • 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 44 990 100,0 46 124 100,0 47 945 100,0
1 room 728 1,6 801 1,7 827 1,7
2 rooms 2 686 6,0 2 796 6,1 2 951 6,2
3 rooms 7 464 16,6 7 627 16,5 7 919 16,5
4 rooms 14 118 31,4 14 348 31,1 14 547 30,3
5 rooms or above 19 994 44,4 20 553 44,6 21 702 45,3
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

LOG T4 - Principal residences average number of rooms

LOG T4 - Principal residences average number of rooms
Type of main residence 2011 2016 2022
All main residences 4,4 4,4 4,5
House 4,7 4,7 4,8
Flat 3,0 2,9 2,9
  • 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 12,7 12,2 11,7
Moderate over-occupation 3,0 3,1 3,0
Severe over-occupation 0,3 0,3 0,4
Moderate under-occupation 24,4 24,0 23,5
Severe under-occupation 27,9 28,6 27,7
Very severe under-occupation 31,7 31,8 33,7
  • 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 47 216 100,0
Before 1919 9 502 20,1
From 1919 to 1945 3 840 8,1
From 1946 to 1970 8 743 18,5
From 1971 to 1990 12 462 26,4
From 1991 to 2005 6 146 13,0
From 2006 to 2019 6 522 13,8
  • 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 8 668 781
From 1919 to 1945 3 199 625
From 1946 to 1970 6 791 1 907
From 1971 to 1990 10 572 1 859
From 1991 to 2005 5 081 1 014
From 2006 to 2018 5 692 784
  • 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 47 945 100,0 99 530 4,5 2,2
Less than 2 years ago 5 359 11,2 10 841 3,8 1,9
From 2 to 4 years ago 8 758 18,3 19 068 4,1 1,9
From 5 to 9 years ago 8 031 16,7 18 611 4,3 1,9
10 years ago or above 25 798 53,8 51 009 4,8 2,4
  • 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 11,2
From 2 to 4 years ago 18,3
From 5 to 9 years ago 16,7
From 10 to 19 years ago 19,6
From 20 to 29 years ago 11,3
30 years ago or above 23,0
  • 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 44 990 100,0 46 124 100,0 47 945 100,0 99 530 17,5
Homeowner 29 677 66,0 30 660 66,5 32 110 67,0 68 735 22,1
Tenant 13 878 30,8 14 214 30,8 14 610 30,5 28 674 7,6
including public tenants 2 269 5,0 2 006 4,3 2 112 4,4 3 957 10,8
Housed for free 1 434 3,2 1 249 2,7 1 226 2,6 2 122 14,9
  • 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 9 706 21,6 9 169 19,9 8 895 18,6
Fuel oil 9 598 21,3 8 186 17,7 7 004 14,6
Electricity 14 146 31,4 15 972 34,6 19 543 40,8
Bottled or tank gas 1 491 3,3 1 362 3,0 1 140 2,4
Other (wood, solar, geothermal, etc.) 10 049 22,3 11 435 24,8 11 364 23,7
  • 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 39 710 88,3 41 143 89,2 43 201 90,1
 1 car 21 776 48,4 21 944 47,6 23 308 48,6
 2 cars or above 17 933 39,9 19 199 41,6 19 893 41,5
  • 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 44 990 100,0 46 124 100,0 47 945 100,0
Including those with at least one reserved parking space (box, garage, parking spot) 33 099 73,6 33 922 73,5 35 312 73,6
  • Sources : Insee, RP2011, RP2016 and RP2022, main operations, geography as of 01/01/2025.

Graduates and training programs in 2022

Employment area 2020 of Marmande (7518)

FOR T1 - Schooling by age and sex in 2022

FOR T1 - Schooling by age and sex in 2022
Age Total Scholarized population Scholarized population in %
Altogether Male Female
2 to 5 years old 3 620 2 721 75,2 76,5 73,7
6 to 10 years old 5 284 5 149 97,4 97,5 97,4
11 to 14 years old 4 665 4 555 97,6 97,2 98,1
15 to 17 years old 3 569 3 364 94,3 94,5 94,0
18 to 24 years old 5 592 1 821 32,6 30,4 35,2
25 to 29 years old 4 185 124 3,0 3,0 2,9
30 years old or above 73 173 546 0,7 0,6 0,8
  • Source : Insee, RP2022 principal exploitation, geography at the 01/01/2025.

FOR G1 - Schooling rate by age (in %)

FOR G1 - Schooling rate by age (in %)
2011 2016 2022
2 to 5 years old 73,6 74,1 75,2
6 to 10 years old 98,9 98,0 97,4
11 to 14 years old 98,6 98,0 97,6
15 to 17 years old 94,7 95,0 94,3
18 to 24 years old 36,8 34,9 32,6
25 to 29 years old 2,5 3,9 3,0
30 years old or above 0,6 0,6 0,7
  • 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 T2 - Highest level of graduation for population aged 15 years or over by sex in 2022

FOR T2 - Highest level of graduation for population aged 15 years or over by sex in 2022
Altogether Male Female
Proportion of unschooled aged 15 years or above 80 663 38 625 42 038
Proportion of graduates in percentage
No diploma or primary education certificate 26,8 24,5 28,9
BEPC brevet des collèges or DNB 6,3 5,3 7,2
CAP, BEP or equivalent 28,9 34,3 23,9
Baccalauréat, brevet professionnel or equivalent 17,2 16,5 17,9
2 years at university 9,3 9,1 9,5
3 to 4 years at university 6,8 5,5 8,0
5 years or more at university 4,7 4,9 4,5
  • Source : Insee, RP2022 main operation, geography as of 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 37,0 26,8
BEPC brevet des collèges or DNB 6,5 6,3
CAP, BEP or equivalent 26,6 28,9
Baccalauréat, brevet professionnel or equivalent 14,5 17,2
2 years or more at university 15,4 20,8
  • Note : As the response methods have changed during the census surveys, the values cannot be obtained for the 2022 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 2022 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

Employment area 2020 of Marmande (7518)

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 60 001 58 370 56 865
Working age adult in % 70,4 72,9 74,9
 Working age adults with a job in % 61,0 62,1 65,8
 Unemployed workers in % 9,3 10,8 9,1
Economically inactive people in % 29,6 27,1 25,1
 Pupils, students or interns in % 7,3 7,7 7,4
 Retirees in % 12,4 9,7 8,1
 Other economically inactive people in % 9,9 9,7 9,6
  • 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 56 865 42 581 74,9 37 418 65,8
 15 to 24 years old 9 161 4 374 47,7 3 340 36,5
 25 to 54 years old 32 732 29 482 90,1 26 217 80,1
 55 to 64 years old 14 972 8 725 58,3 7 860 52,5
Male 28 177 21 887 77,7 19 615 69,6
 15 to 24 years old 4 834 2 557 52,9 2 022 41,8
 25 to 54 years old 16 112 15 011 93,2 13 642 84,7
 55 to 64 years old 7 231 4 319 59,7 3 951 54,6
Female 28 688 20 694 72,1 17 803 62,1
 15 to 24 years old 4 328 1 817 42,0 1 318 30,5
 25 to 54 years old 16 620 14 471 87,1 12 576 75,7
 55 to 64 years old 7 741 4 406 56,9 3 910 50,5
  • 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 65,8
Unemployed workers 9,1
Retirees 8,1
Pupils, students or interns 7,4
Other economically inactive people 9,6
  • 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 42 657 36 925 42 266 35 894 42 921 37 938
including farmer operators 2 203 2 174 1 815 1 773 1 589 1 574
including handicrafters, traders and business leaders 3 574 3 347 3 504 3 276 3 709 3 597
including managers and higher intellectual professions 2 954 2 838 3 000 2 772 3 573 3 392
including intermediate professions 7 848 7 163 8 403 7 702 9 015 8 423
including employees 12 049 10 363 11 716 9 806 11 709 10 052
including workers 13 658 11 040 13 365 10 565 12 941 10 900
  • 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 5 604 6 279 5 163
Unemployment rate in % 13,3 14,8 12,1
Unemployment of the 15-24 aged 29,8 30,0 23,6
Unemployment of the 25-54 aged 11,7 13,3 11,1
Unemployment of the 55-64 aged 9,2 11,9 9,9
  • 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 20,6
BEPC brevet des collèges or DNB 16,1
CAP, BEP or equivalent 12,6
Baccalauréat, brevet professionnel or equivalent 12,0
2 years at university 7,3
3 to 4 years at university 6,8
5 years or more at university 6,5
  • 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 35 057 35 120 36 765
Working age adult living in the area 37 062 36 969 38 372
Occupational concentration by industry 94,6 95,0 95,8
employment rate of 15 years old or above in % 50,4 50,5 50,4
  • 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 35 057 100,0 35 120 100,0 36 765 100,0
Employee 28 065 80,1 28 365 80,8 29 940 81,4
 including women 14 150 40,4 14 180 40,4 15 076 41,0
 including part time jobs 5 640 16,1 5 488 15,6 5 024 13,7
Non-employee 6 993 19,9 6 755 19,2 6 824 18,6
 including women 2 428 6,9 2 437 6,9 2 555 6,9
 including part time jobs 686 2,0 833 2,4 972 2,6
  • 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 37 073 100,0
Farmer operators 1 767 4,8
Handicrafters, traders, business leaders 3 642 9,8
Managers and higher intellectual professions 3 509 9,5
Intermediate professions 8 169 22,0
Employees 9 494 25,6
Workers 10 493 28,3
  • 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 6,5 5,5 4,8
Handicrafters, traders, business leaders 9,2 9,3 9,8
Managers and higher intellectual professions 7,7 8,1 9,5
Intermediate professions 19,4 21,2 22,0
Employees 27,8 26,8 25,6
Workers 29,4 29,0 28,3
  • 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 35 294 100,0 34 864 100,0 37 073 100,0 47,7 81,8
Agriculture 4 410 12,5 3 818 11,0 4 000 10,8 37,1 55,7
Industry 4 881 13,8 5 116 14,7 4 956 13,4 23,9 90,5
Construction 3 255 9,2 2 841 8,1 3 099 8,4 11,1 66,5
Wholesale and retail trade/transports/accommodations and food service activities 12 607 35,7 12 705 36,4 14 534 39,2 49,0 82,1
Public administration/education/human health/social work 10 141 28,7 10 384 29,8 10 484 28,3 72,1 91,8
  • 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 43,9 28,6
Industry 23,5 27,4
Construction 14,8 3,8
Wholesale and retail trade, transports, accommodations and food service activities 49,9 45,0
Public administration, education, human health, social work 72,7 65,6
  • 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

Employment area 2020 of Marmande (7518)

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 38 355 100,0 16,3 47,5
Employees 31 309 81,6 16,7 49,8
Non-employees 7 046 18,4 14,7 37,0
  • 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 20 152 100 18 203 100
Employees 15 710 78,0 15 599 85,7
 Tenured personnel and open-ended employment contracts 12 783 63,4 12 621 69,3
 Fixed-term employment contracts 1 711 8,5 2 237 12,3
 Temporary employment 581 2,9 255 1,4
 Assisted jobs 81 0,4 141 0,8
 Apprentice ship contract - Traineeship 554 2,8 345 1,9
Non-employees 4 441 22,0 2 604 14,3
 Independents 2 532 12,6 1 823 10,0
 Employers 1 871 9,3 715 3,9
 Caregivers 38 0,2 66 0,4
  • 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 15 458 7,6 15 359 24,4
15 to 24 years old 1 913 17,9 1 237 29,6
25 to 54 years old 10 839 4,9 10 940 21,8
55 to 64 years old 2 706 10,7 3 182 31,0
  • 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 8,3 8,2 8,5
Female 31,1 30,0 24,9
  • 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 37 048 100 36 957 100 38 355 100
Working in their residential zone 14 521 39,2 13 613 36,8 12 702 33,1
Working in another zone 22 527 60,8 23 344 63,2 25 653 66,9
  • 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 5,7
Walking 5,0
Bicycle 1,5
Motorized two-wheeled vehicles 1,3
Car or truck 84,3
Public transports 2,2
  • 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

Employment area 2020 of Marmande (7518)

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 1 260 1 247 1 333 1 259 1 284 1 413 1 392 1 425 1 306 1 326
Domiciled births 858 864 836 872 842 833 866 829 794 762
  • Source: Insee, civil status statistics in geography as of 01/01/2025.

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

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

Household income and poverty in 2021

Employment area 2020 of Marmande (7518)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
Indicators on tax households 2021
Number of tax households 44 267
Number of people in tax households 92 372
Median disposable income (per consumption unit in euros) 20 540
Share of actually taxed tax households (in %) 41,0
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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

REV G1 - Poverty rate by age range of the reference fiscal person in 2021
Rate in %
Less than 30 years old 24,2
30 to 39 years old 21,2
40 to 49 years old 20,3
50 to 59 years old 17,7
60 to 74 years old 15,3
75 and over 17,6
Altogether 18,4
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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

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

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

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021
Rate in %
Homeowner 12,0
Tenant 33,5
Altogether 18,4
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

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

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

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
Composition of disposable income Share in %
Work income 61,3
   Wages 51,7
   Unemployment pensions 2,8
   Self-employed income 6,8
Retirement pension or annuity 36,3
Capital income (real estate, financial, others) 9,6
Social benefits 6,2
   Child benefit 2,0
   Income support 3,0
   Housing benefit 1,2
Tax –13,4
Altogether 100,0
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
Distribution indicators 2021
Median disposable income (per consumption unit in euros) 20 540
Inter-decile ratio 3,0
1st decile (in euros) 11 390
9th decile (in euros) 34 210
  • Note : For reasons of statistical confidentiality (s) or missing data (vm), some charts and tables may be incomplete.
  • Scope : tax households - excluding communities and homeless.
  • Source : Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2025.

Salaries and earned income in 2023

Employment area 2020 of Marmande (7518)

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 2 181 2 021 2 299
Managerial staff* 3 704 3 312 3 922
Intermediate professions 2 444 2 294 2 567
Employees 1 861 1 835 1 951
Workers 1 926 1 698 1 984
  • * 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 –12,1
Managerial staff* –15,6
Intermediate professions –10,6
Employees –6,0
Workers –14,4
  • * 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 1 702 1 663 1 727
25 to 39 years old 2 080 1 963 2 159
40 to 49 years old 2 264 2 091 2 391
50 to 54 years old 2 309 2 075 2 491
55 years old or older 2 404 2 143 2 623
  • 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 –3,7
25 to 39 years old –9,1
40 to 49 years old –12,6
50 to 54 years old –16,7
55 years old or older –18,3
  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

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

  • Note: Pay gap = (women's wages - men's wages) / men's wages.
  • Scope: Private-sector employees, including recipients of subsidized employment contracts and professional training contracts; excluding apprentices, interns, agricultural workers, and employees of private households.
  • Source: Insee, All employees database, jobs at place of work by geography at 01/01/2025.

Establishment characteristics at the end of 2023

Employment area 2020 of Marmande (7518)

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

RES T1 - Establishments by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 3 900 100,0 427 2 854 308 223 88
Agriculture, forestry and fishing 633 16,2 141 470 13 9 0
Industrial economy 307 7,9 18 187 46 37 19
Building industry 436 11,2 43 345 26 17 5
Trade, transport, various services 1 985 50,9 212 1 495 159 89 30
General government, education, healthcare, social action 539 13,8 13 357 64 71 34
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

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

RES T2 - Number of employees by aggregate sector of activity and workforce size at the end of 2023
Sector of activity Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 employees and more
Altogether 29 419 100,0 8 407 4 146 6 801 3 927 6 138
Agriculture, forestry and fishing 1 476 5,0 1 043 177 256 0 0
Industrial economy 4 923 16,7 605 622 1 137 600 1 959
Building industry 2 185 7,4 961 360 506 252 106
Trade, transport, various services 12 076 41,0 4 460 2 102 2 614 1 338 1 562
General government, education, healthcare, social action 8 759 29,8 1 338 885 2 288 1 737 2 511
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

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

RES G1 - Distribution of establishments by aggregate sector of activity at the end of 2023
%
General government, education, healthcare, social action 13,8
Trade, transport, various services 50,9
Building industry 11,2
Industrial economy 7,9
Agriculture, forestry and fishing 16,2
  • Scope: Employer establishments during the year and active during the last week of December excluding the defense sector and private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

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

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

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

RES G2 - Distribution of establishments by workforce size at the end of 2023
%
50 or more employees 2,3
20 to 49 employees 5,7
10 to 19 employees 7,9
1 to 9 employees 73,2
0 employee 10,9
  • 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 2023

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

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

RES T3 - Establishments according to the spheres of the economy at the end of 2023
Economic sphere Establishments Employees
Number % Number %
Altogether 3 900 100,0 29 419 100,0
Productive sphere 1 590 40,8 11 488 39,0
of which public domain 4 0,1 21 0,1
Presential sphere 2 310 59,2 17 931 61,0
of which public domain 314 8,1 5 663 19,2
  • Scope: Employer establishments during the year and active during the last week of December, excluding the defense sector and private employers. The number of employees here corresponds to the positions present during the last week of December.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

RES T5 - Individual employers in 2023

RES T5 - Individual employers in 2023
Individual employers
Number %
Altogether 5 386 100,0
Employers of childminders 1 834 34,1
Employers of other employees 3 552 65,9
  • Scope: private employers.
  • Source: Insee, Localized compensation and employee employment file (Flores) in geography as of 01/01/2025.

Business and establishment set-ups in 2024

Employment area 2020 of Marmande (7518)

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

DEN T1 - Business set-ups by sector of activity in 2024
Sector of activity Company set-ups (Number) Of which sole proprietorships (%) Of which SARL (%) Of which SAS (%) Of which other societies (%)
Altogether 1 092 79,2 7,6 12,7 0,5
Industry 128 88,3 3,1 8,6 0,0
Construction 109 67,0 17,4 13,8 1,8
Wholesale and retail trade/transports/accommodations and food service activities 276 81,5 6,5 12,0 0,0
Information/communication 32 87,5 3,1 9,4 0,0
Finance and insurance activities 34 5,9 17,6 67,6 8,8
Real estate activities 44 50,0 18,2 31,8 0,0
Professional/scientific/technical activites/administrative and support service activities 235 79,1 7,7 13,2 0,0
Public administration/education/healthcare/social work 93 94,6 1,1 4,3 0,0
Other service activities 141 90,8 5,7 3,5 0,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2025.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Altogether 752 745 733 725 702 744 837 939 986 1 154 1 201 1 158 1 092
Sole proprietorship 579 587 562 555 527 569 626 734 794 905 970 929 865
SARL 131 106 90 76 72 67 78 69 54 68 79 69 83
SAS 28 38 60 77 87 94 118 105 125 167 143 152 139
Other societies 14 14 21 17 16 14 15 31 13 14 9 8 5
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G1 - Business set-ups

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

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

DEN T2 - Establishment set-ups by economic sectors in 2024
Sector of activity Altogether %
Altogether 1 381 100,0
Industry 255 18,5
Construction 130 9,4
Wholesale and retail trade/transports/accommodations and food service activities 340 24,6
Information/communication 32 2,3
Finance and insurance activities 38 2,8
Real estate activities 54 3,9
Professional/scientific/technical activites/administrative and support service activities 273 19,8
Public administration/education/healthcare/social work 102 7,4
Other service activities by the number of business creations including free lancers 157 11,4
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

DEN G2 - Establishment set-ups
2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024
Establishment set-ups 874 850 828 793 794 840 955 1 073 1 111 1 390 1 403 1 349 1 381
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2025.

DEN G2 - Establishment set-ups

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

Number of legal entities and establishments in 2022

Employment area 2020 of Marmande (7518)

DEN T3 - Number of economically active legal units by economic sector in 2022

DEN T3 - Number of economically active legal units by economic sector in 2022
Sector of activity Number %
Altogether 7 660 100,0
Industry 665 8,7
Construction 1 129 14,7
Wholesale and retail trade/transports/accommodations and food service activities 1 907 24,9
Information/communication 150 2,0
Finance and insurance activities 403 5,3
Real estate activities 545 7,1
Professional/scientific/technical activites/administrative and support service activities 1 154 15,1
Public administration/education/human health/social work 907 11,8
Other service activities 800 10,4
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

DEN T4 - Number of economically active establishments by economic sector in 2022

DEN T4 - Number of economically active establishments by economic sector in 2022
Sector of activity Number %
Altogether 8 517 100,0
Industry 727 8,5
Construction 1 190 14,0
Wholesale and retail trade/transports/accommodations and food service activities 2 226 26,1
Information/communication 162 1,9
Finance and insurance activities 472 5,5
Real estate activities 555 6,5
Professional/scientific/technical activites/administrative and support service activities 1 334 15,7
Public administration/education/human health/social work 998 11,7
Other service activities 853 10,0
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2024.

Facilities and services for the population in 2024

Employment area 2020 of Marmande (7518)

EQUIP T1 - Number of retails trades in 2024

EQUIP T1 - Number of retails trades in 2024
Retail trade Number
Large retail outlet (hypermarket, supermarket) 27
Grocery store, convenience store 50
Bakery and pastry shop 72
Service station 27
Electric vehicle charging station 44
Hair salon 144
  • 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 56
Dentist 40
Physiotherapist 83
Nurse 193
Psychologist 28
Pharmacy 38
  • 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 107
Middle school 13
General and/or technological upper secondary school 5
Vocational or agricultural upper secondary school 7
Library 47
  • Source : INSEE, Permanent database of facilities (BPE 2024), geography as of 01/01/2025.

Tourism in 2025

Employment area 2020 of Marmande (7518)

TOU T1 - Number and capacity of hotels on the 1st of January 2025

TOU T1 - Number and capacity of hotels on the 1st of January 2025
Number of stars Hotels Rooms
Altogether 14 434
1 star 0 0
2 stars 3 110
3 stars 6 232
4 stars 1 10
5 stars 0 0
Non-ranked 4 82
  • Source: Insee, territorial partners in geography as of 01/01/2025.

TOU T2 - Number and capacity of campsites on the 1st of January 2025

TOU T2 - Number and capacity of campsites on the 1st of January 2025
Number of stars Campsites Pitches
Altogether 12 463
1 star 1 49
2 stars 3 116
3 stars 3 132
4 stars 0 0
5 stars 0 0
Non-ranked 5 166
  • Source: Insee, territorial partners in geography as of 01/01/2025.

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2025

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2025
Type of accomodation Accommodation Number of bed places (1)
Altogether 6 2 861
Tourist accommodations 2 434
Holiday villages or private homes 4 2 427
Youth hostels or sports center 0 0
  • (1) rooms, apartments, dormitories, etc.
  • Source: Insee, territorial partners in geography as of 01/01/2025.

Définitions

Declarative judgments of birth: Any birth occurring on French territory must be the subject of a declaration to the Civil register within three days of giving birth, giving rise to an act. If this declaration has not been made within this legal period, it is the subject of a declaration of birth giving rise to a transcription in the civil status registers.

Declarations of death: When death is insured but the body could not be found (plane crash, disappearance at sea ...), a declaratory judgment of death is drawn up which results in transcription on the civil status registers.

Tax household: Household made up of the grouping of tax households listed in the same dwelling. Its existence in a given year is due to the fact that at least an independent declaration of income coincides with the occupation of a dwelling known to the Housing Tax. Households made up of people who do not have their fiscal independence (mainly students) are counted in households where they declare their income even if they occupy independent accommodation.

Wage in full-time equivalent (FTE) :

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

Market activity: The activity of a company is qualified as market if its operating expenses are normally covered for more than 50 % through the sale of its production. The activity of an establishment is market if this establishment contributes essentially to the production of a good or service considered to be market, either by nature or because its selling price exceeds 50 % of its production costs.

Public domain: An establishment belongs to this area if it is part of a legal category 7 enterprise (legal person or body subject to administrative law) or if more than half of its workforce is part of the State civil service.

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

Champ

Population censuses

The data are offered to users in particular for comparing municipalities, grouping variable categories or obtaining results on personalized sets of municipalities.

Derived from calculations linked to sampling techniques, the data in terms of numbers are provided with several decimal places; these must be used for all calculations carried out, in order to avoid rounding errors.

For more information on the population census, consult the page of presentation of the population census.

The data come either from the main farm (princ.) or from the complementary farm (compl).

For more methodological information, you can consult the sheets "Tips on using census results".

These sheets present the characteristics of the population census and deal with their consequences on the use of the data. They specify in particular the changes affecting the main statistical variables and their comparability with previous censuses.

Civil register

Annual statistics concerning domiciled birthsare drawn up from the statistical bulletins of civil status, drawn up by the mayors, at the time and in the municipality where the births take place. They relate to births having taken place in all the municipalities of France. Births that took place abroad or in the overseas communities (COM) are not counted.

The "commune" variable corresponds to the commune of the mother's domicile in France.

The statistics include declarative judgments of birth, but do not take into account stillbirths.

Annual statistics concerning domiciled deathsare drawn up from civil status statistics bulletins drawn up by the mayors, at the time and in the municipality where the deaths took place. They relate to deaths that have occurred in all municipalities in France. Deaths having occurred abroad or in overseas communities (COM) are not counted.

The "commune" variable corresponds to the commune of the deceased's domicile in France.

The statistics include declarative judgments of deaths.

Localised disposable income system (Filosofi)

The scope covered is that of all ordinary tax households: it excludes people who are homeless or living in institutions (prison, home, retirement home, etc.).

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

Other indicators are calculated on the basis of households with positive or zero disposable income.

Municipalities without inhabitant or without inhabitant subject to the housing tax are not in the list of municipalities.

All employees databases (BTS)

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

Business Demography Information System (SIDE)

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

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

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

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

Pay and salaried employment localized file (Flores)

The Flores system (Pay and salaried employment localized file) covers establishments that have employed at least one employee during the year, in France excluding Mayotte. In this municipal database, the data made available is also restricted to establishments active at the end of the year (last week of December), which excludes establishments which ceased their activity during the year.

The salaried workforce at the end of the year corresponds to the number of positions present in the last week of December in the employing establishment. The workforce at the end of the year in some establishments may therefore be zero, if the employee (s) during the year were no longer employed at the end of December.

Flores covers all salaried employment, regardless of the sector of activity and the type of employer (public or private, including individual employers). Establishments under the Ministry of the Armed Forces (military personnel as well as civilians) are excluded from the scope.

The Flores device succeeds Clap, whose last vintage described the year 2015. The results from Flores and Clap are not comparable, and therefore should not be the subject of evolving comparative analyzes.

Specifically:

-Clap covered all active establishments, employers and non-employers. The number of establishments with zero staff at the end of the year was therefore much higher in Clap, because of this difference in field.

- Conversely, Clap only counted so-called non-ancillary jobs, that is to say those exceeding a certain threshold of remuneration and / or duration. This restriction has been removed in Flores, which counts all workstations.

Permanent database of facilities

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

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

Hotel occupancy survey

The scope covers tourist hotels, classified or not, with more than 5 bedrooms and campsites with more than 10 pitches, classified or not, including residential campsites. It also covers other collective tourist accommodation.

Statistics on the accommodation offer are established in conjunction with the regional tourism committees (CRT) and the general management of enterprises (DGE). They are offered at municipal level for France (excluding Mayotte).

The statistics concerning the outdoor hotel business relate to the campsites offering sites for transient customers intended for tourists who do not choose to live there as well. only on campsites offering pitches rented year-round, that is to say to a single customer for the entire period when the campsite is open.

Classified hotels and campsites are classified according to the new classification nomenclature implemented by the operator Atout France. The distribution by star is not available for the 2013 vintage for hotels, because the classification being paid, the distribution by star was not significant.

The information on other collective accommodation in the overseas departments is of lower quality. Since 2018, the field concerning other collective accommodation in the overseas departments has been deleted. The workforce from other collective accommodation has been transferred to hotels.

Unique electoral register

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

The scope concerns voters registered on the main electoral list.

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

Géographie

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

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

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

All employees databases (BTS), file of employees at the place of residence: dissemination in the municipalities of France excluding Mayotte with more than 2,000 inhabitants, respecting specific thresholds, in geography as of 01/01/2025;

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

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

Business Demography Information System (SIDE) - Number of legal entities and establishments: distribution to all municipalities in France, in geography as of 01/01/2024;

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

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

Release threshold for the population census

The population census makes it possible to know the diversity and evolution of the population of France. Insee thus provides statistics on inhabitants and dwellings, their number and their characteristics: distribution by sex and age, occupations, housing conditions, modes of transport, commuting, etc.

Data from additional census holdings are not disseminated for areas less than 2 000 inhabitants. In addition, numbers below 200 should be handled with care, as it cannot be significant.

Particularity of Civil register data

The data, for the municipalities of Paris (75056), Lyon (69123) and Marseille (13055), are presented for the entire municipality and for each municipal district.

For these municipalities, the municipal district of the domicile is not systematically informed about the statistical bulletin. Births are therefore only counted in the database at the level of the municipality and not of the municipal district. The sum of births in the arrondissements of Lyon (Marseille and Paris respectively) is therefore not always equal to the number of births in the municipality of Lyon (Marseille and Paris respectively).

Dissemination threshold and statistical confidentiality of the Localized Social and Fiscal File (Filosofi)

Data from Filosofi are subject to statistical confidentiality. No statistics are disseminated on very small areas (less than 50 households and less than 100 people).

Three indicators (median standard of living, counts in number of households and number of people) are proposed for areas with more than 50 households or more than 100 people.

In the largest areas (more than 1,000 households or more than 2 000 people), all indicators are generally offered. They are also disseminated on the sub-populations associated with a socio-demographic criterion (for example under 30 years) having a minimum number of at least 200 people and at least 11 households.

Poverty rates are disseminated for areas with more than 1,000 households or more than 2 000 ppeople in which there are at least 200 people and 11 poor households, as well as at least 200 people and 11 households above the poverty line.

They are distributed to sub-populations associated with a socio-demographic criterion (for example under 30s) with a minimum workforce of at least 200 people. and at least 11 poor households and at least 200 people and at least 11 households above the poverty line.

When the rates are in the ranges [0; 5] and [95; 100], the exact value is not displayed, it is replaced by the values ​​5 % and 95 % respectively.

The components of disposable income are disseminated over areas over 1 000 households or more than 2 000 people, provided that for each of the income components there are at least 11 households for which the component is non-zero.

Confidentiality and precautions of the All Employees databases (BTS)

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

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

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

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

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

Warning on the nature of municipal data and their use for the localized file of remunerations and salaried employment (Flores)

INSEE makes localized data from Flores available to the municipal level. However, at this geographic scale, the results of this data warehouse have not been validated by experts. Each user is therefore called upon to exercise good judgment concerning the plausibility and relevance of the results, in particular in limited geographic or sectoral fields. As far as possible, the analyzes should focus on areas "of sufficient size" (several thousand salaried positions), in order to limit errors that could be due to occasional erroneous declarations by certain establishments.

Status of municipal data from Flores differs in particular from that of Employment Estimates, which are subject to full validation by experts and which are disseminated at a more aggregate level (department and employment area at the finest). In other words, the municipal data, in return for their finesse, do not benefit from the same validation and adjustment framework.