données locales

Paru le : 27/02/2024

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

Detailed figures
Paru le :Paru le27/02/2024
- February 2024

Growth and structure of the population in 2020

Employment area 2020 of Marmande (7518)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2009 % 2014 % 2020 %
Altogether 99 827 100,0 101 445 100,0 101 129 100,0
0 to 14 years old 16 006 16,0 16 302 16,1 15 378 15,2
15 to 29 years old 13 950 14,0 13 642 13,4 13 510 13,4
30 to 44 years old 17 524 17,6 16 635 16,4 15 605 15,4
45 to 59 years old 21 034 21,1 20 795 20,5 20 546 20,3
60 to 74 years old 18 508 18,5 20 365 20,1 22 051 21,8
75 and over 12 805 12,8 13 706 13,5 14 038 13,9
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2009 2014 2020
0 to 14 years old 16,0 16,1 15,2
15 to 29 years old 14,0 13,4 13,4
30 to 44 years old 17,6 16,4 15,4
45 to 59 years old 21,1 20,5 20,3
60 to 74 years old 18,5 20,1 21,8
75 and over 12,8 13,5 13,9
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

POP T1 - Population since 1968: population and average density (residents per square kilometre)

POP T1 - Population since 1968: population and average density (residents per square kilometre)
1968(*) 1975(*) 1982 1990 1999 2009 2014 2020
Population 94 385 93 726 94 196 95 023 93 369 99 827 101 445 101 129
Average density (inhab / km²) 44,1 43,8 44,1 44,4 43,7 46,7 47,4 47,3
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2023.
  • Sources: Insee, RP1967 to 1999 counts, RP2009 to RP2020 main holdings.

POP T2M - Demographic indicators since 1968

POP T2M - Demographic indicators since 1968
1968 to 1975 1975 to 1982 1982 to 1990 1990 to 1999 1999 to 2009 2009 to 2014 2014 to 2020
Average annual change in population in % –0,1 0,1 0,1 –0,2 0,7 0,3 –0,1
due to the natural balance in % 0,1 –0,1 –0,1 –0,2 –0,2 –0,1 –0,4
due to the apparent balance of inflows and outflows in % –0,2 0,2 0,2 0,1 0,9 0,5 0,3
Natality rate (‰) 13,5 11,5 10,7 9,3 9,7 9,9 8,6
Mortality rate (‰) 12,8 12,4 12,0 11,8 11,6 11,4 12,6
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2023
  • Sources: Insee, RP1968 to 1999 counts, RP2009 to RP2020 main holdings - Civil status

POP T3 - Population by age and sex in 2020

POP T3 - Population by age and sex in 2020
Male % Female %
Altogether 48 974 100,0 52 155 100,0
0 to 14 years old 7 811 15,9 7 567 14,5
15 to 29 years old 6 993 14,3 6 517 12,5
30 to 44 years old 7 617 15,6 7 987 15,3
45 to 59 years old 10 092 20,6 10 454 20,0
60 to 74 years old 10 610 21,7 11 441 21,9
75 to 89 years old 5 239 10,7 6 705 12,9
90 years and over 611 1,2 1 483 2,8
0 to 19 years old 10 590 21,6 10 136 19,4
20 to 64 years old 25 546 52,2 26 279 50,4
65 and over 12 839 26,2 15 740 30,2
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
2014 % 2020 %
People one year old and over, previously living: 100 468 100,0 100 252 100,0
In the same house 89 115 88,7 89 423 89,2
In another house in the same town 3 444 3,4 3 048 3,0
In another town 7 909 7,9 7 782 7,8
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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 29,9 70,1
15 to 24 years old 25,9 74,1
25 to 54 years old 28,4 71,6
55 years old and over 27,8 72,2
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

POP T5 - Population aged 15 years and over by socioprofessional classification
2009 % 2014 % 2020 %
Altogether 83 768 100,0 85 341 100,0 85 753 100,0
Farmer operators 2 426 2,9 2 177 2,6 1 944 2,3
Craftsmen, traders, business leaders 3 567 4,3 3 627 4,3 3 673 4,3
Managers and higher intellectual professions 2 734 3,3 3 142 3,7 3 305 3,9
Middle-level occupations 7 929 9,5 8 207 9,6 8 553 10,0
Services employee 11 802 14,1 12 119 14,2 11 866 13,8
Blue-collar workers 13 571 16,2 13 737 16,1 13 277 15,5
Retirees 30 365 36,2 31 085 36,4 31 024 36,2
Other people with no professional activity 11 374 13,6 11 248 13,2 12 111 14,1
  • Sources: Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2020

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2020
Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 41 335 44 418 100,0 100,0 100,0
Farmer operators 1 368 576 0,3 3,2 2,0
Craftsmen, traders, business leaders 2 526 1 148 0,6 7,6 2,6
Managers and higher intellectual professions 1 856 1 449 0,7 7,2 2,0
Middle-level occupations 3 871 4 683 8,5 18,9 3,6
Services employee 2 381 9 486 14,7 24,6 5,4
Blue-collar workers 9 963 3 313 18,6 28,0 5,3
Retirees 14 785 16 239 0,0 0,5 71,4
Other people without professional activity 4 585 7 526 56,7 9,9 7,7
  • Source: Insee, RP2020 additional operation, geography as of 01/01/2023.

Couples – Family – Households in 2020

Employment area 2020 of Marmande (7518)

FAM T1 - Households by composition

FAM T1 - Households by composition
Number of households Household population
2009 % 2014 % 2020 % 2009 2014 2020
Ensemble 44 367 100,0 45 596 100,0 47 037 100,0 97 493 99 012 99 062
One-person households (male and female) 14 113 31,8 15 079 33,1 16 828 35,8 14 113 15 079 16 828
 Single Male 5 652 12,7 6 425 14,1 7 381 15,7 5 652 6 425 7 381
 Single Female 8 461 19,1 8 654 19,0 9 446 20,1 8 461 8 654 9 446
Other households without families 965 2,2 1 086 2,4 530 1,1 2 381 2 562 1 161
Family households : 29 288 66,0 29 430 64,5 29 679 63,1 80 999 81 370 81 074
 Couple without children 15 042 33,9 14 969 32,8 15 289 32,5 31 160 30 741 31 328
 Couple with children 10 676 24,1 10 645 23,3 10 094 21,5 40 542 40 865 38 779
 Single parent 3 570 8,0 3 816 8,4 4 297 9,1 9 297 9 764 10 967
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

FAM G1 - Growth estimates of households’ size since 1968

FAM G1 - Growth estimates of households’ size since 1968
1968(*) 1975(*) 1982 1990 1999 2009 2014 2020
Average number of occupants per main residence 3,24 3,00 2,78 2,58 2,36 2,20 2,17 2,10
  • (*) 1967 and 1974 for the overseas departments (DOM)
  • The data proposed is established for the same geographical scope
  • in the geography in force on 01/01/2023.
  • Sources : Insee, RP1967 to 1999 counts RP2009 to RP2020 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 01/01/2023.
  • Sources : Insee, RP1967 to 1999 counts RP2009 to RP2020 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
en % 2009 2014 2020
15 to 19 years old 2,2 2,2 3,0
20 to 24 years old 14,2 13,3 15,3
25 to 39 years old 11,8 11,6 13,6
40 to 54 years old 12,1 13,4 14,6
55 to 64 years old 16,9 18,5 20,9
65 to 79 years old 23,3 23,6 25,6
80 and above 43,6 42,5 42,9
  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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

  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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

FAM G3 - Proportion of couple families aged 15 years or over
en % 2009 2014 2020
15 to 19 years old 2,6 3,3 2,3
20 to 24 years old 31,5 30,9 32,1
25 to 39 years old 69,6 69,6 69,0
40 to 54 years old 74,4 72,0 70,9
55 to 64 years old 76,1 73,8 71,3
65 to 79 years old 69,9 70,7 70,1
80 and above 39,1 41,7 43,6
  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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

  • Sources : Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FAM G4 - Marital status of the population aged 15 years or over in 2020

FAM G4 - Marital status of the population aged 15 years or over in 2020
%
Married 45,3
Civil partnership 4,5
In cohabitation 12,1
Widowed 8,7
Divorced 7,1
Single 22,2
  • Source : Insee, RP2020 main operation, geography as of 01/01/2023.

FAM G4 - Marital status of the population aged 15 years or over in 2020

  • Source : Insee, RP2020 main operation, geography as of 01/01/2023.

FAM T2 - Households by socio-economic classification of the reference person in 2020

FAM T2 - Households by socio-economic classification of the reference person in 2020
Number of households % Household population %
Ensemble 47 037 100,0 99 062 100,0
Farmer operators 1 398 3,0 3 752 3,8
Craftsmen, traders, business leaders 2 546 5,4 6 828 6,9
Managers and higher intellectual professions 2 233 4,7 5 698 5,8
Intermediate professions 5 142 10,9 12 352 12,5
Employees 6 530 13,9 15 602 15,7
Workers 8 724 18,5 22 422 22,6
Retirees 18 067 38,4 28 383 28,7
Other people without professional activity 2 398 5,1 4 025 4,1
  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM G5 - Households by socio-economic classification of the reference person in 2020

FAM G5 - Households by socio-economic classification of the reference person in 2020
%
Farmer operators 3,0
Handicrafters, traders, business leaders 5,4
Managers and higher intellectual professions 4,7
Intermediate professions 10,9
Employees 13,9
Workers 18,5
Retirees 38,4
Unemployed persons 5,1
  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM G5 - Households by socio-economic classification of the reference person in 2020

  • Sources : Insee, RP2020 additional operation, geography as of 01/01/2023.

FAM T3 - Families composition

FAM T3 - Families composition
2009 % 2014 % 2020 %
Ensemble 29 522 100,0 29 632 100,0 29 922 100,0
Couple with children 10 701 36,2 10 694 36,1 10 120 33,8
Single parent 3 670 12,4 3 906 13,2 4 424 14,8
 Male single parent 599 2,0 795 2,7 1 027 3,4
 Female single parent 3 072 10,4 3 112 10,5 3 397 11,4
Couple without children 15 151 51,3 15 032 50,7 15 378 51,4
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

FAM T4 - Families by number of children

FAM T4 - Families by number of children
2009 % 2014 % 2020 %
Ensemble 29 522 100,0 29 632 100,0 29 922 100,0
Without any 16 949 57,4 16 999 57,4 17 409 58,2
1 child 5 812 19,7 5 675 19,2 5 655 18,9
2 children 4 860 16,5 4 956 16,7 4 796 16,0
3 children 1 400 4,7 1 490 5,0 1 482 5,0
4 children or above 502 1,7 512 1,7 580 1,9
  • Sources : Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

Housing in 2020

Employment area 2020 of Marmande (7518)

LOG T1 - Number of dwellings by category since 1968

LOG T1 - Number of dwellings by category since 1968
1968(*) 1975(*) 1982 1990 1999 2009 2014 2020
Altogether 33 106 36 305 39 928 43 815 45 277 52 206 54 943 56 818
Main residences 28 701 30 675 33 315 36 085 38 601 44 328 45 619 47 067
Second homes 1 170 1 580 2 364 2 831 2 985 3 014 3 299 3 418
Vacant dwellings 3 235 4 050 4 249 4 899 3 691 4 864 6 025 6 334
  • (*) 1967 and 1974 for the overseas departments
  • Sources: Insee, RP1967 to 1999 counts, RP2009 to RP2020 main holdings.

LOG T2 - Types and categories of dwellings

LOG T2 - Types and categories of dwellings
2009 % 2014 % 2020 %
Altogether 52 206 100,0 54 943 100,0 56 818 100,0
Main residences 44 328 84,9 45 619 83,0 47 067 82,8
Second homes 3 014 5,8 3 299 6,0 3 418 6,0
Vacant dwellings 4 864 9,3 6 025 11,0 6 334 11,1
Houses 44 016 84,3 46 803 85,2 47 885 84,3
Flats 7 767 14,9 7 881 14,3 8 576 15,1
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T3 - Main residences by number of rooms

LOG T3 - Main residences by number of rooms
2009 % 2014 % 2020 %
Altogether 44 328 100,0 45 619 100,0 47 067 100,0
1 room 693 1,6 694 1,5 944 2,0
2 rooms 2 714 6,1 2 806 6,2 2 899 6,2
3 rooms 7 370 16,6 7 554 16,6 7 658 16,3
4 rooms 13 818 31,2 14 203 31,1 14 559 30,9
5 rooms and over 19 733 44,5 20 362 44,6 21 008 44,6
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T4 - Average number of rooms in main residences

LOG T4 - Average number of rooms in main residences
2009 2014 2020
All main residences 4,4 4,4 4,5
Houses 4,7 4,7 4,7
Flats 3,0 2,9 2,8
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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

LOG T4bis - Main residences by over-occupation (except one room dwellings occupied by one person)
2009 2014 2020
Over-occupied 1,9 1,9 1,8
Non-over-occupied 98,1 98,1 98,2
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T5 - Main residences in 2020 by completion period

LOG T5 - Main residences in 2020 by completion period
Number %
Principal residences build before 2018 46 508 100,0
before 1919 9 791 21,1
from 1919 to 1945 3 738 8,0
from 1946 to 1970 8 596 18,5
from 1971 to 1990 12 396 26,7
from 1991 to 2005 6 003 12,9
from 2006 to 2017 5 983 12,9
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G1 - Main residences in 2020 by completion period and housing category

LOG G1 - Main residences in 2020 by completion period and housing category
House Flat
before 1919 8 972 768
from 1919 to 1945 3 160 564
from 1946 to 1970 6 544 2 033
from 1971 to 1990 10 406 1 933
from 1991 to 2005 5 129 833
from 2006 to 2017 5 291 652
  • Main residences built before 2018.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G1 - Main residences in 2020 by completion period and housing category

  • Main residences built before 2018.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG T6 - Main residence tenure in 2020

LOG T6 - Main residence tenure in 2020
Number of households Share of households in % Household population Average number of rooms
per dwelling per person
Altogether 47 067 100,0 98 915 4,5 2,1
Less than 2 years 5 577 11,8 11 480 3,8 1,8
From 2 to 4 years 8 470 18,0 18 844 4,0 1,8
From 5 to 9 years 7 644 16,2 17 892 4,3 1,9
10 years and over 25 376 53,9 50 699 4,8 2,4
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G2 - Households by main residence tenure in 2020

LOG G2 - Households by main residence tenure in 2020
Share of households in%
Less than 2 years 11,8
From 2 to 4 years 18,0
From 5 to 9 years 16,2
From 10 to 19 years 19,6
From 20 to 29 years 11,1
30 years and over 23,2
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG G2 - Households by main residence tenure in 2020

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

LOG T7 - Main residences by occupational status

LOG T7 - Main residences by occupational status
2009 2014 2020
Number % Number % Number % Number of persons Average moving in age in year (s)
Altogether 44 328 100,0 45 619 100,0 47 067 100,0 98 915 17,5
Homeowner 29 355 66,2 30 237 66,3 31 349 66,6 67 898 22,2
Tenant 13 517 30,5 14 065 30,8 14 476 30,8 28 809 7,4
(including social sector housing) 2 128 4,8 2 093 4,6 2 180 4,6 4 059 10,5
Housed for free 1 455 3,3 1 316 2,9 1 242 2,6 2 209 15,2
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T8M - Main residences by material comfort

LOG T8M - Main residences by material comfort
2009 % 2014 % 2020 %
Altogether 44 328 100,0 45 619 100,0 47 067 100,0
Bathroom including a shower or a bath 43 041 97,1 44 422 97,4 45 768 97,2
Collective central heating 1 589 3,6 1 425 3,1 1 534 3,3
Individual central heating 20 716 46,7 19 704 43,2 19 866 42,2
Individual electric heating 11 690 26,4 13 610 29,8 15 619 33,2
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

LOG T9 - Households’ automotive equipment

LOG T9 - Households’ automotive equipment
2009 % 2014 % 2020 %
Altogether 44 328 100,0 45 619 100,0 47 067 100,0
At least one parking spot 32 338 73,0 33 299 73,0 34 385 73,1
At least one car 38 965 87,9 40 586 89,0 42 051 89,3
1 car 21 530 48,6 21 838 47,9 22 498 47,8
2 cars and over 17 435 39,3 18 748 41,1 19 553 41,5
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

Education and training in 2020

Employment area 2020 of Marmande (7518)

FOR T1 - Enrollment by age and sex in 2020

FOR T1 - Enrollment by age and sex in 2020
Total Enrolled population Enrolled population in %
Altogether Male Female
2 to 5 years old 3 713 2 812 75,7 76,3 75,1
6 to 10 years old 5 487 5 347 97,5 97,6 97,4
11 to 14 years old 4 522 4 415 97,6 97,1 98,2
15 to 17 years old 3 533 3 355 95,0 94,7 95,3
18 to 24 years old 5 800 1 938 33,4 32,5 34,4
25 to 29 years old 4 178 151 3,6 4,1 3,2
30 years old and over 72 241 490 0,7 0,6 0,7
  • Source: Insee, RP2020 principal exploitation, geography at the 01/01/2023.

FOR G1 - Enrollment rate by age (in %)

FOR G1 - Enrollment rate by age (in %)
2009 2014 2020
2 to 5 years old 75,2 73,2 75,7
6 to 10 years old 99,0 98,1 97,5
11 to 14 years old 98,8 98,0 97,6
15 to 17 years old 94,1 95,1 95,0
18 to 24 years old 37,3 35,1 33,4
25 to 29 years old 2,7 3,0 3,6
30 years old and over 0,6 0,5 0,7
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

FOR G1 - Enrollment rate by age (in %)

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

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

FOR T2 - Highest level of education for population aged 15 years and over by sex in 2020
Altogether Male Female
Proportion of unschooled aged 15 years or above 79 817 38 172 41 645
Proportion of graduates in percentage
No diploma or primary education certificate 28,2 25,7 30,4
BEPC brevet des collèges or DNB 6,5 5,4 7,6
CAP, BEP or equivalent 29,0 34,4 24,0
Baccalauréat, brevet professionnel or equivalent 16,6 15,9 17,3
2 years at university 9,1 8,7 9,4
3 to 4 years at university 6,3 5,2 7,3
5 years and over at university 4,4 4,8 4,0
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)
2009 2020
No diploma or primary education certificate 38,8 28,2
BEPC brevet des collèges or DNB 6,3 6,5
CAP, BEP or equivalent 26,6 29,0
Baccalauréat, brevet professionnel or equivalent 13,9 16,6
2 years and over at university 14,4 19,7
  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2014 vintage.
  • Sources: Insee, RP2009, RP2020, main operations, geography as of 01/01/2023.

FOR G2 - Highest level of education for not enrolled population aged 15 years and over (in %)

  • Note: As the response methods have changed during the census surveys, the values cannot be obtained for the 2014 vintage.
  • Sources: Insee, RP2009, RP2020, main operations, geography as of 01/01/2023.

Labor force, employment and unemployment within the sense of the census in 2020

Employment area 2020 of Marmande (7518)

EMP T1 - Population aged 15 to 64 by economic activity status

EMP T1 - Population aged 15 to 64 by economic activity status
2009 2014 2020
Altogether 59 999 58 714 57 172
Labor force in % 69,8 72,4 74,2
 including people in work in % 61,3 61,9 64,2
 including unemployed workers in % 8,5 10,6 9,9
Economically inactive people in % 30,2 27,6 25,8
 including pupils, students or interns in % 7,3 7,5 7,6
 including retirees in % 12,9 10,2 8,6
 including other economically inactive people in % 10,0 9,9 9,6
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019

EMP T2 - Economic activity and employment of the population aged 15 to 64 by sex and by age in 2019
Population Labor force Activity rate in % People in work Employment rate in %
Altogether 57 172 42 395 74,2 36 710 64,2
 15 to 24 years old 9 332 4 438 47,6 3 260 34,9
 25 to 54 years old 32 974 29 640 89,9 26 056 79,0
 55 to 64 years old 14 866 8 317 55,9 7 394 49,7
Male 28 324 21 814 77,0 19 307 68,2
 15 to 24 years old 4 888 2 551 52,2 1 969 40,3
 25 to 54 years old 16 263 15 124 93,0 13 611 83,7
 55 to 64 years old 7 174 4 140 57,7 3 727 52,0
Female 28 848 20 580 71,3 17 403 60,3
 15 to 24 years old 4 445 1 887 42,4 1 291 29,0
 25 to 54 years old 16 711 14 516 86,9 12 445 74,5
 55 to 64 years old 7 692 4 177 54,3 3 667 47,7
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

EMP G1 - Population aged 15 to 64 by economic activity status in 2019

EMP G1 - Population aged 15 to 64 by economic activity status in 2019
Population (%)
People in work 64,2
Unemployed workers 9,9
Retirees 8,6
Pupils, students or interns 7,6
Other economically inactive people 9,6
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

EMP G1 - Population aged 15 to 64 by economic activity status in 2019

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification

EMP T3 - Labor force aged 15 to 64 by socioprofessional classification
2009 including people in work 2014 including people in work 2020 including people in work
Altogether 41 907 36 738 42 804 36 283 42 199 36 748
including
 Farmer operators 2 277 2 259 2 033 1 985 1 752 1 722
 Handicrafters, traders and business leaders 3 490 3 302 3 534 3 294 3 514 3 359
 Managers and higher intellectual professions 2 679 2 594 3 073 2 849 3 189 3 003
 Middle-level occupations 7 892 7 299 8 141 7 392 8 443 7 790
 Services employee 11 716 10 175 11 983 10 067 11 728 9 986
 Blue-collar workers 13 501 11 108 13 616 10 696 13 123 10 888
  • Sources: Insee, RP2009, RP2014 and RP2020, additional operations, geography as of 01/01/2023.

EMP T4 - Unemployment of the 15-64 aged population

EMP T4 - Unemployment of the 15-64 aged population
2009 2014 2020
Number of unemployed workers 5 121 6 204 5 685
Unemployment rate in % 12,2 14,6 13,4
Unemployment of the 15-24 aged 28,0 29,7 26,5
Unemployment of the 25-54 aged 10,7 13,2 12,1
Unemployment of the 55-64 aged 8,0 11,2 11,1
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019
Unemployment rate in %
No diploma or primary education certificate 21,6
BEPC brevet des collèges or DNB 17,8
CAP, BEP or equivalent 13,8
Baccalauréat, brevet professionnel or equivalent 13,1
2 years at university 8,5
3 to 4 years at university 7,1
5 years and over at university 7,5
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

EMP G2 - Unemployment rate (within the sense of the census) of the 15-64 aged population by level of education in 2019

  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

EMP T5 - Employment and activity

EMP T5 - Employment and activity
2009 2014 2020
Number of jobs in the area 35 349 34 919 35 698
People in work living in the area 37 218 36 945 37 561
Employment concentration indicator 95,0 94,5 95,0
Activity rate of 15 years old and over in % 50,5 50,7 50,5
  • The employment concentration indicator is equal to the number of jobs in the area per 100 people in work living in the area.
  • Sources: Insee, RP2009, RP2014 and RP2020, main holdings, place of residence and place of work, geography as of 01/01/2023.

EMP T6 - Employment by working status

EMP T6 - Employment by working status
2009 % 2014 % 2020 %
Altogether 35 349 100,0 34 919 100,0 35 698 100,0
Employee 28 210 79,8 28 163 80,7 29 100 81,5
 including women 14 104 39,9 14 150 40,5 14 644 41,0
 including part-time workers 5 687 16,1 5 612 16,1 5 284 14,8
Non-employee 7 139 20,2 6 756 19,3 6 598 18,5
 including women 2 469 7,0 2 397 6,9 2 437 6,8
 including part-time workers 646 1,8 793 2,3 914 2,6
  • Sources: Insee, RP2009, RP2014 and RP2020, main workplaces, geography as of 01/01/2023.

EMP T7 - Employment by socioprofessional activity in 2020

EMP T7 - Employment by socioprofessional activity in 2020
Number %
Altogether 35 656 100,0
Farmer operators 1 916 5,4
Handicrafters, traders, business leaders 3 379 9,5
Managers and higher intellectual professions 3 066 8,6
Middle-level occupations 7 458 20,9
Services employee 9 504 26,7
Blue-collar workers 10 334 29,0
  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

EMP G3 - Employment by socioprofessional activity

EMP G3 - Employment by socioprofessional activity
2009 2014 2020
Farmer operators 6,8 6,0 5,4
Handicrafters, traders, business leaders 9,2 9,1 9,5
Managers and higher intellectual professions 7,5 7,8 8,6
Middle-level occupations 19,3 20,8 20,9
Services employee 27,5 27,0 26,7
Blue-collar workers 29,7 29,3 29,0
  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP G3 - Employment by socioprofessional activity

  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP T8 - Employment by economic sectors

EMP T8 - Employment by economic sectors
2009 2014 2020
Number % Number % Number % including women in % including employees %
Altogether 35 392 100,0 34 907 100,0 35 656 100,0 47,7 82,1
Agriculture 4 448 12,6 4 099 11,7 4 000 11,2 36,5 52,5
Industry 5 135 14,5 5 041 14,4 5 023 14,1 23,7 90,4
Construction 3 236 9,1 2 919 8,4 2 880 8,1 10,8 68,8
Wholesale and retail trade/transports/accommodations and food service activities 12 560 35,5 12 579 36,0 13 521 37,9 49,4 82,0
Public administration/education/healthcare/social work 10 014 28,3 10 270 29,4 10 233 28,7 72,0 93,4
  • Sources: Insee, RP2009, RP2014 and RP2020, additional work place of work, geography as of 01/01/2023.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020
Employees Non-employees
Agriculture 43,4 28,9
Industry 23,6 25,1
Construction 13,6 4,8
Wholesale and retail trade, transports, accommodations and food service activities 50,5 44,7
Public administration, education, healthcare, social work 72,7 62,9
  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

EMP G4 - Feminisation rate of employment by status and economic sectors in 2020

  • Source: Insee, RP2020 additional operation at the workplace, geography as of 01/01/2023.

Employment characteristics within the sense of the census in 2020

Employment area 2020 of Marmande (7518)

ACT T1 - People in work aged 15 years and over by status in 2020

ACT T1 - People in work aged 15 years and over by status in 2020
Number % of which % part-time of which % women
Altogether 37 552 100,0 17,3 47,3
Employees 30 700 81,8 18,0 49,7
Non-employees 6 853 18,2 14,3 36,4
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT T2 - Status and employment conditions of 15 years and over by sex in 2020

ACT T2 - Status and employment conditions of 15 years and over by sex in 2020
Male % Female %
Altogether 19 799 100 17 754 100
Employees 15 442 78,0 15 258 85,9
 Tenured personnel and open-ended employment contracts 12 429 62,8 12 115 68,2
 Fixed-term contracts 1 701 8,6 2 392 13,5
 Temporary employment 668 3,4 258 1,5
 Assisted jobs 99 0,5 203 1,1
 Apprenticeship contracts - Traineeship 545 2,8 290 1,6
Non-employees 4 357 22,0 2 496 14,1
 Self-employed 2 422 12,2 1 704 9,6
 Employers 1 900 9,6 719 4,1
 Caregivers 35 0,2 73 0,4
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT T3 - Employees aged 15 to 64 by sex, age, and part-time jobs in 2020

ACT T3 - Employees aged 15 to 64 by sex, age, and part-time jobs in 2020
Male of which % part-time Female of which % part-time
Altogether 15 212 7,7 15 052 27,1
15 to 24 years old 1 854 18,9 1 217 32,8
25 to 54 years old 10 847 5,1 10 889 24,6
55 to 64 years old 2 511 11,1 2 946 34,0
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %
2009 2014 2020
Male 8,0 8,7 8,6
Female 31,9 30,5 27,5
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT G1 - Share of part-time workers among employees aged 15 years and over by sex in %

  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT T4 - Working place of people in work aged 15 years and over living in the area

ACT T4 - Working place of people in work aged 15 years and over living in the area
2009 % 2014 % 2020 %
Altogether 37 202 100 36 932 100 37 552 100
working:
in the same municipality they live in 15 007 40,3 13 999 37,9 12 655 33,7
in a different municipality 22 195 59,7 22 933 62,1 24 897 66,3
  • Sources: Insee, RP2009, RP2014 and RP2020, main operations, geography as of 01/01/2023.

ACT G2 - Usual method of travel to work in 2020

ACT G2 - Usual method of travel to work in 2020
in %
No travel 6,1
Walk 4,8
Bicycle 1,4
Motorized two-wheel vehicle 1,2
Car or truck 84,5
Public transportation 2,0
  • Scope: people in work aged 15 and over.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

ACT G2 - Usual method of travel to work in 2020

  • Scope: people in work aged 15 and over.
  • Source: Insee, RP2020 main operation, geography as of 01/01/2023.

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

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
2014 2015 2016 2017 2018 2019 2020 2021 2022
Domiciled deaths 1 251 1 260 1 247 1 333 1 259 1 284 1 413 1 392 1 425
Domiciled births 958 858 864 836 872 842 833 866 829
  • Source: Insee, civil status statistics in geography as of 01/01/2023.

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

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

Household income and poverty in 2021

Employment area 2020 of Marmande (7518)

REV T1 - Tax households in 2021

REV T1 - Tax households in 2021
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
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

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

REV G1 - Poverty rate by age range of the reference fiscal person in 2021
Rate in %
Altogether 18,4
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
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

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

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

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

REV G2 - Poverty rate by tenure of the reference fiscal person in 2021
Rate in %
Altogether 18,4
Homeowner 12,0
Tenant 33,5
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

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

  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV T2 - Disposable income components in 2021

REV T2 - Disposable income components in 2021
share in %
Altogether 100,0
Work income 61,3
including wages 51,7
including unemployment pensions 2,8
including self-employed income 6,8
Retirement pension or annuity 36,3
Capital income (real estate, financial, others) 9,6
Social benefits 6,2
including child benefit 2,0
including income support 3,0
including housing benefit 1,2
Tax –13,4
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

REV T3 - Disposable income distribution in 2021

REV T3 - Disposable income distribution in 2021
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
  • Scope: tax households - excluding communities and homeless.
  • Source: Insee-DGFiP-Cnaf-Cnav-Ccmsa, Localised disposable income system (Filosofi) in geography as of 01/01/2023.

Salaries and earned income in 2021

Employment area 2020 of Marmande (7518)

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021
Altogether Female Male
Altogether 13,1 12,2 13,7
Managerial staff* * 23,2 20,9 24,4
Intermediate professions* 15,1 14,1 15,8
Employees* 11,1 10,9 11,7
Workers* 11,3 10,0 11,6
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G1 - Net average hourly wage (in euros) by socio-economic category in 2021

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021
Difference (in%)
Altogether –11,5
Managerial staff* * –14,4
Intermediate professions* –10,8
Employees* –6,4
Workers* –14,2
  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G3 - Net average hourly wage (in euros) difference between male and female by socio-economic category in 2021

  • * Managerial staff, higher intellectual professions and salaried business leaders
  • of the main position occupied by the employee during the year.
  • Scope: Private sector and public enterprises excluding agriculture, classification of socioprofessional categories
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL T1 - Net average hourly wage (in euros) by age in 2021

SAL T1 - Net average hourly wage (in euros) by age in 2021
Altogether Female Male
15 to 25 years old 10,2 9,9 10,3
26 to 50 years old 13,0 12,1 13,5
50 years old or above 14,5 13,0 15,5
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021
Gender pay gap (in%)
15 to 25 years old –3,9
26 to 50 years old –10,4
50 years old or above –16,4
  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

SAL G4 - Net average hourly wage (in euros) difference between male and female by age in 2021

  • Scope: Private sector and public enterprises excluding agriculture.
  • Source: Insee, All employees database, file of employees at place of residence in geography as of 01/01/2023.

Characteristics of establishments at the end of 2021

Employment area 2020 of Marmande (7518)

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2021

RES T1 - Active establishments as employers by aggregate sector of activity and size at the end of 2021
Total % 0 employee 1 to 9 employee(s) 10 to 19 employees 20 to 49 employees 50 or more employees
Altogether 3 895 100,0 402 2 873 321 212 87
Agriculture, forestry and fishing 632 16,2 128 477 19 8 0
Industrial economy 300 7,7 18 181 47 38 16
Building industry 443 11,4 48 342 29 19 5
Trade, transport, various services 1 986 51,0 194 1 512 167 85 28
including trade and car repair 771 19,8 60 582 81 36 12
Administration publique, enseignement, santé, action sociale 534 13,7 14 361 59 62 38
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2021

RES T2 - Salaried positions by aggregate sector of activity and establishments size at the end of 2021
Total % 1 to 9 employeee(s) 10 to 19 employees 20 to 49 employees 50 to 99 employees 100 or more employees
Altogether 28 842 100,0 8 283 4 322 6 477 4 188 5 572
Agriculture, forestry and fishing 1 549 5,4 1 064 238 247 0 0
Industrial economy 4 897 17,0 626 635 1 172 547 1 917
Building industry 2 248 7,8 985 392 554 317 0
Trade, transport, various services 11 716 40,6 4 380 2 212 2 539 1 417 1 168
including trade and car repair 5 362 18,6 1 865 1 062 1 117 447 871
Administration publique, enseignement, santé, action sociale 8 432 29,2 1 228 845 1 965 1 907 2 487
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2021

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2021
%
General government, education, healthcare, social action* 13,7
Trade, transport, various services* 51,0
Building industry* 11,4
Industrial economy* 7,7
Agriculture, forestry and fishing* 16,2
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES G1 - Distribution of active employer establishments by aggregate sector of activity at the end of 2021

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES G2 - Distribution of active employer establishments by size at the end of 2021

RES G2 - Distribution of active employer establishments by size at the end of 2021
%
50 or more employees 2,2
20 to 49 employees 5,4
10 to 19 employees 8,2
1 to 9 employee(s) 73,8
0 employee 10,3
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES G2 - Distribution of active employer establishments by size at the end of 2021

  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2021

RES T3 - Active establishments as employers according to the spheres of the economy at the end of 2021
Establishments Salaried positions
Number % Number %
Altogether 3 895 100,0 28 842 100,0
Productive sphere* 1 572 40,4 11 401 39,5
of which public domain* 1 0,0 2 0,0
Presential sphere 2 323 59,6 17 441 60,5
of which public domain* 310 8,0 5 329 18,5
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2021

RES T4 - Active establishments, employers and salaried positions by detailed sector of activity (A17) at the end of 2021
Establishments Salaried positions
Number % Number %
Altogether 3 895 100,0 28 842 100,0
Agriculture, forestry and fishing 632 16,2 1 549 5,4
Manufacture of food, drink and tobacco products 94 2,4 975 3,4
Coking and refining 0 0,0 0 0,0
Manufacture of electrical, electronic and computer equipment; machinery manufacturing 16 0,4 421 1,5
Manufacture of transport equipment 12 0,3 1 059 3,7
Manufacture of other industrial products 141 3,6 2 084 7,2
Extractive industries, energy, water, waste management and pollution control 37 0,9 358 1,2
Building industry 443 11,4 2 248 7,8
Trade ; repair of automobiles and motorcycles 771 19,8 5 362 18,6
Transportation and warehousing 102 2,6 1 222 4,2
Accommodation and catering 205 5,3 760 2,6
Information and communication 32 0,8 171 0,6
Financial and insurance activities 158 4,1 632 2,2
Real estate activities 55 1,4 151 0,5
Scientific and technical activities; administrative and support services 368 9,4 2 458 8,5
General government, education, human healthcare and social action 534 13,7 8 432 29,2
Other service activities 295 7,6 960 3,3
  • Scope: excluding the defense sector and individual employers.
  • Source: Insee, FLORES in geography as of 01/01/2023.

RES T5 - Individual employers at the end of 2021

RES T5 - Individual employers at the end of 2021
Individual employers
Number %
Altogether 5 474 100,0
Employers of childminders 1 827 33,4
Employers of other employees 3 647 66,6
  • Scope: private employers.
  • Source: Insee, Flores (Localized Compensation and Employee Employment File) in geography as of 01/01/2023.

Business and establishment set-ups in 2022

Employment area 2020 of Marmande (7518)

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

DEN T1 - Business set-ups by sector of activity in 2022
Company set-ups Of which sole proprietorships
Number % Number %
Altogether 1 201 100,0 970 80,8
Industry 119 9,9 100 84,0
Construction 156 13,0 123 78,8
Wholesale and retail trade/transports/accommodations and food service activities 265 22,1 199 75,1
Information/communication 44 3,7 38 86,4
Finance and insurance activities 35 2,9 3 8,6
Real estate activities 60 5,0 38 63,3
Professional/scientific/technical activites/administrative and support service activities 245 20,4 206 84,1
Public administration/education/healthcare/social work 107 8,9 104 97,2
Other service activities 170 14,2 159 93,5
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography at 01/01/2023.

DEN G1 - Business set-ups

DEN G1 - Business set-ups
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Altogether 745 733 725 702 744 837 939 986 1 154 1 201
Sole proprietorship 587 562 555 527 569 626 734 794 905 970
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G1 - Business set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

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

DEN T4 - Business set-ups by economic sectors in 2022
Altogether %
Altogether 1 403 100,0
Industry 212 15,1
Construction 170 12,1
Wholesale and retail trade/transports/accommodations and food service activities 300 21,4
Information/communication 44 3,1
Finance and insurance activities 40 2,9
Real estate activities 63 4,5
Professional/scientific/technical activites/administrative and support service activities 267 19,0
Public administration/education/healthcare/social work 117 8,3
Other service activities by the number of business creations including free lancers 190 13,5
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G3 - Establishment set-ups

DEN G3 - Establishment set-ups
2013 2014 2015 2016 2017 2018 2019 2020 2021 2022
Créations d'établissements 850 828 793 794 840 955 1 073 1 111 1 390 1 403
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

DEN G3 - Establishment set-ups

  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2023.

Number of enterprises and establishments in 2021

Employment area 2020 of Marmande (7518)

DEN T3 - Number of enterprises by economic sector on the 31st of December 2020

DEN T3 - Number of enterprises by economic sector on the 31st of December 2020
Number %
Altogether 7 173 100,0
Industry 618 8,6
Construction 1 146 16,0
Wholesale and retail trade/transports/accommodations and food service activities 2 054 28,6
Information/communication 132 1,8
Finance and insurance activities 332 4,6
Real estate activities 279 3,9
Professional/scientific/technical activites/administrative and support service activities 1 113 15,5
Public administration/education/human health/social work 793 11,1
Other service activities 706 9,8
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

DEN T5 - Number of establishments by economic sector on the 31st of December 2020

DEN T5 - Number of establishments by economic sector on the 31st of December 2020
Number %
Altogether 8 454 100,0
Industry 998 11,8
Construction 1 205 14,3
Wholesale and retail trade/transports/accommodations and food service activities 2 494 29,5
Information/communication 141 1,7
Finance and insurance activities 412 4,9
Real estate activities 318 3,8
Professional/scientific/technical activites/administrative and support service activities 1 278 15,1
Public administration/education/human health/social work 872 10,3
Other service activities 736 8,7
  • Scope: market activities outside agriculture.
  • Source: Insee, Directory of companies and establishments (Sirene) in geography as of 01/01/2022.

Tourism in 2024

Employment area 2020 of Marmande (7518)

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

TOU T1 - Number and capacity of hotels on the 1st of January 2024
Number of stars Hotels Rooms
Altogether 15 457
1 star 0 0
2 stars 4 133
3 stars 7 281
4 stars 1 10
5 stars 0 0
Non-ranked 3 33
  • Source: Insee, territorial partners in geography as of 01/01/2023.

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

TOU T2 - Number and capacity of campsites on the 1st of January 2024
Number of stars Campsites Pitches
Altogether 12 476
1 star 1 49
2 stars 3 116
3 stars 3 132
4 stars 0 0
5 stars 0 0
Non-ranked 5 179
  • Source: Insee, territorial partners in geography as of 01/01/2023.

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

TOU T3 - Number of other tourist collective accommodations on the 1st of January 2024
Type of accomodation Accommodation Number of bed places (1)
Altogether 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 ...
  • Source: Insee, territorial partners in geography as of 01/01/2023.

Définitions

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

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

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

Average hourly net salary: Result of the quotient of the mass of net wages compared to the number of salaried hours calculated on all the positions carried out by the employee during the year (excluding unemployment benefits). The number of paid hours takes into account paid overtime and all the periods during which the employee remains linked to an establishment due to the employment contract (leave, period of illness and accident at work), at the exception of periods of unpaid leave.

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

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

The definitions of other concepts allowing a better understanding of the variables are accessible on insee.fr.

Champ

Population censuses

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

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

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

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

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

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

Civil register

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

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

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

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

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

The statistics include declarative judgments of deaths.

Localised disposable income system (FiLoSoFi)

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

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

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

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

All employees databases

The statistics are compiled from information collected on private sector companies and public companies located in France.

Statistics on socio-professional categories relate to the main position occupied by the employee during the year, excluding agriculture and undefined socio-professional category.

People whose age is not indicated and minors are also excluded from the statistical field.

Business Demography Information System (SIDE)

The indicators relate to the creation of businesses and establishments of all non-agricultural 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.

Register of enterprises and establishments (REE)

The indicators relate to the number of businesses and legal units of all non-agricultural market activities. This scope includes financial activities.

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

The number of companies or legal units in year N corresponds to the number of companies or legal units active on December 31, N-1.

Pay and salaried employment localized file (Flores)

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

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

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

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

Specifically:

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

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

Hotel occupancy survey

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

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

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

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

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

Géographie

Population censuses 2009, 2014, 2020: dissemination in the municipalities of France outside Mayotte in geography on 2023;

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

Localized social and fiscal file (Filosofi): dissemination in the municipalities of mainland France, Martinique and Reunion, in geography as of 01/01/2023;

All employees databases, file of employees at the place of residence: dissemination in the municipalities of France excluding Mayotte with more than 2,000 inhabitants, respecting specific thresholds, in geography as of 01/01/2023;

Localized Compensation and Employee Employment File (Flores): dissemination in the municipalities of France outside Mayotte, in geography as of 01/01/2023;

Business Demography Information System (SIDE) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2023;

Directory of businesses and establishments (Sirene) - Business demography: distribution to all municipalities in France, in geography as of 01/01/2022;

Insee, territorial partners for tourism data: dissemination to all municipalities in France, geography as of 01/01/2023

Release threshold for the population census

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

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

Particularity of Civil register data

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

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

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

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

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

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

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

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

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

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

Statistical confidentiality of the Bases All employees

Data from the All Employees Bases are subject to statistical confidentiality. No statistics are released for areas less than 2 000 inhabitants. Moreover, each box in the table must contain at least 5 employees and no employee must represent more than 80 % of the box payroll. These constraints lead to excluding from the dissemination the results of certain areas of more than 2 000 inhabitants.

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

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

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