Growth and structure of the population in 2019 Municipality of Nieul-sur-Mer (17264)

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Paru le :12/09/2022

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POP T0 - Population estimates by age range

POP T0 - Population estimates by age range
2008 % 2013 % 2019 %
Altogether 5 620 100,0 5 746 100,0 5 859 100,0
0 to 14 years old 905 16,1 843 14,7 761 13,0
15 to 29 years old 782 13,9 764 13,3 707 12,1
30 to 44 years old 966 17,2 865 15,1 806 13,8
45 to 59 years old 1 568 27,9 1 430 24,9 1 396 23,8
60 to 74 years old 1 009 17,9 1 301 22,6 1 540 26,3
75 and over 391 7,0 543 9,5 649 11,1
  • 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 16,1 14,7 13,0
15 to 29 years old 13,9 13,3 12,1
30 to 44 years old 17,2 15,1 13,8
45 to 59 years old 27,9 24,9 23,8
60 to 74 years old 17,9 22,6 26,3
75 and over 7,0 9,5 11,1
  • 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 1 763 2 581 4 057 4 957 5 641 5 620 5 746 5 859
Average density (inhab / km²) 160,9 235,5 370,2 452,3 514,7 512,8 524,3 534,6
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • 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 % 5,6 6,6 2,5 1,4 –0,0 0,4 0,3
due to the natural balance in % 1,1 0,5 0,8 0,4 0,3 0,0 –0,2
due to the apparent balance of inflows and outflows in % 4,5 6,2 1,8 1,0 –0,3 0,4 0,5
Natality rate (‰) 18,5 11,8 12,6 9,9 8,3 7,5 7,2
Mortality rate (‰) 7,2 7,0 5,1 5,5 5,3 7,2 9,4
  • 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 2 752 100,0 3 107 100,0
0 to 14 years old 390 14,2 371 11,9
15 to 29 years old 378 13,7 330 10,6
30 to 44 years old 373 13,6 433 13,9
45 to 59 years old 631 22,9 765 24,6
60 to 74 years old 713 25,9 827 26,6
75 to 89 years old 248 9,0 319 10,3
90 years and over 19 0,7 62 2,0
0 to 19 years old 550 20,0 515 16,6
20 to 64 years old 1 456 52,9 1 642 52,9
65 and over 746 27,1 950 30,6
  • 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: 5 703 100,0 5 829 100,0
In the same house 5 167 90,6 5 240 89,9
In another house in the same town 115 2,0 138 2,4
In another town 421 7,4 452 7,7
  • 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 29,1 70,9
15 to 24 years old 21,5 78,5
25 to 54 years old 23,4 76,6
55 years old and over 18,8 81,2
  • 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 4 715 100,0 4 864 100,0 5 111 100,0
Farmer operators 52 1,1 8 0,2 15 0,3
Craftsmen, traders, business leaders 184 3,9 157 3,2 214 4,2
Managers and higher intellectual professions 426 9,0 477 9,8 440 8,6
Middle-level occupations 719 15,3 688 14,1 724 14,2
Services employee 862 18,3 771 15,9 841 16,5
Blue-collar workers 480 10,2 402 8,3 447 8,7
Retirees 1 296 27,5 1 712 35,2 1 957 38,3
Other people with no professional activity 696 14,8 648 13,3 474 9,3
  • 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 2 380 2 731 100,0 100,0 100,0
Farmer operators 10 5 0,0 0,7 0,0
Craftsmen, traders, business leaders 131 83 1,0 6,9 2,8
Managers and higher intellectual professions 278 161 0,0 16,8 4,3
Middle-level occupations 253 471 9,0 26,6 6,1
Services employee 205 636 17,7 28,7 7,3
Blue-collar workers 365 81 11,3 14,1 4,4
Retirees 967 990 0,0 0,0 73,5
Other people without professional activity 170 303 60,9 6,2 1,6
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.
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