Growth and structure of the population in 2019 Municipality of La Baule-Escoublac (44055)

Detailed figures

Paru le :12/09/2022

Imprimer
Données des tableaux
(csv,5 Ko)

POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 16 731 100,0 15 456 100,0 16 255 100,0
0 to 14 years old 2 101 12,6 1 707 11,0 1 623 10,0
15 to 29 years old 1 818 10,9 1 642 10,6 1 646 10,1
30 to 44 years old 2 423 14,5 1 863 12,1 1 647 10,1
45 to 59 years old 3 670 21,9 3 171 20,5 3 177 19,5
60 to 74 years old 3 906 23,3 3 996 25,9 4 778 29,4
75 and over 2 812 16,8 3 077 19,9 3 384 20,8
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

POP G2 - Population estimates by age range
2008 2013 2019
0 to 14 years old 12,6 11,0 10,0
15 to 29 years old 10,9 10,6 10,1
30 to 44 years old 14,5 12,1 10,1
45 to 59 years old 21,9 20,5 19,5
60 to 74 years old 23,3 25,9 29,4
75 and over 16,8 19,9 20,8
  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

POP G2 - Population estimates by age range

  • Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.

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 2008 2013 2019
Population 13 336 15 006 14 553 14 845 15 831 16 731 15 456 16 255
Average density (inhab / km²) 601,0 676,3 655,8 669,0 713,4 754,0 696,5 732,5
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 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 2008 2008 to 2013 2013 to 2019
Average annual change in population in % 1,7 –0,4 0,2 0,7 0,6 –1,6 0,8
due to the natural balance in % 0,4 0,2 –0,2 –0,4 –0,6 –0,9 –1,1
due to the apparent balance of inflows and outflows in % 1,3 –0,6 0,5 1,1 1,2 –0,6 2,0
Natality rate (‰) 16,1 13,5 10,5 8,9 8,1 6,2 5,2
Mortality rate (‰) 11,7 11,4 12,6 12,7 13,7 15,4 16,3
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022
  • Sources: Insee, RP1968 to 1999 counts, RP2008 to RP2019 main holdings - Civil status

POP T3 - Population by age and sex in 2019

POP T3 - Population by age and sex in 2019
Male % Female %
Altogether 7 389 100,0 8 866 100,0
0 to 14 years old 889 12,0 735 8,3
15 to 29 years old 880 11,9 766 8,6
30 to 44 years old 765 10,3 882 10,0
45 to 59 years old 1 536 20,8 1 641 18,5
60 to 74 years old 2 085 28,2 2 692 30,4
75 to 89 years old 1 127 15,3 1 783 20,1
90 years and over 107 1,5 367 4,1
0 to 19 years old 1 268 17,2 1 030 11,6
20 to 64 years old 3 404 46,1 3 797 42,8
65 and over 2 716 36,8 4 039 45,6
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

POP T4 - Home address 1 year before the study

POP T4 - Home address 1 year before the study
2013 % 2019 %
People one year old and over, previously living: 15 379 100,0 16 181 100,0
In the same house 13 702 89,1 14 393 89,0
In another house in the same town 594 3,9 578 3,6
In another town 1 083 7,0 1 209 7,5
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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 41,6 58,4
15 to 24 years old 24,4 75,6
25 to 54 years old 34,5 65,5
55 years old and over 29,9 70,1
  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

  • Source: Insee, RP2019 main operation, geography as of 01/01/2022.

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

POP T5 - Population aged 15 years and over by socioprofessional classification
2008 % 2013 % 2019 %
Altogether 14 631 100,0 13 736 100,0 14 636 100,0
Farmer operators 22 0,1 23 0,2 25 0,2
Craftsmen, traders, business leaders 799 5,5 695 5,1 774 5,3
Managers and higher intellectual professions 1 267 8,7 1 201 8,7 1 322 9,0
Middle-level occupations 1 600 10,9 1 574 11,5 1 451 9,9
Services employee 1 841 12,6 1 512 11,0 1 555 10,6
Blue-collar workers 818 5,6 758 5,5 687 4,7
Retirees 6 373 43,6 6 383 46,5 7 219 49,3
Other people with no professional activity 1 911 13,1 1 590 11,6 1 604 11,0
  • Sources: Insee, RP2008, RP2013 and RP2019, additional operations, geography as of 01/01/2022.

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019

POP T6 - Population aged 15 years and over by sex, age and socioprofessional classification in 2019
Male Female Share in % of the population aged
15 to 24 years old 25 to 54 years old 55 years and over
Altogether 6 514 8 121 100,0 100,0 100,0
Farmer operators 21 4 0,0 0,4 0,1
Craftsmen, traders, business leaders 514 260 0,1 11,2 3,3
Managers and higher intellectual professions 802 520 2,8 21,1 4,4
Middle-level occupations 674 777 8,5 25,8 3,0
Services employee 372 1 183 17,9 23,3 4,1
Blue-collar workers 536 151 10,9 10,0 1,6
Retirees 3 011 4 208 0,0 0,3 77,2
Other people without professional activity 584 1 019 59,8 7,8 6,3
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.
Pour en savoir plus

Données sur le même territoire

Les mêmes résultats pour un autre territoire