Growth and structure of the population in 2019 Municipality of Noyelles-sous-Lens (62628)

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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 7 005 100,0 6 796 100,0 6 632 100,0
0 to 14 years old 1 221 17,4 1 231 18,1 1 160 17,5
15 to 29 years old 1 300 18,6 1 224 18,0 1 138 17,2
30 to 44 years old 1 269 18,1 1 187 17,5 1 134 17,1
45 to 59 years old 1 289 18,4 1 327 19,5 1 353 20,4
60 to 74 years old 1 066 15,2 956 14,1 993 15,0
75 and over 860 12,3 872 12,8 854 12,9
  • 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 17,4 18,1 17,5
15 to 29 years old 18,6 18,0 17,2
30 to 44 years old 18,1 17,5 17,1
45 to 59 years old 18,4 19,5 20,4
60 to 74 years old 15,2 14,1 15,0
75 and over 12,3 12,8 12,9
  • 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 9 834 8 779 8 188 7 687 7 359 7 005 6 796 6 632
Average density (inhab / km²) 2 643,5 2 359,9 2 201,1 2 066,4 1 978,2 1 883,1 1 826,9 1 782,8
  • (*) 1967 and 1974 for overseas departments (DOM)
  • The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
  • 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 % –1,6 –1,0 –0,8 –0,5 –0,5 –0,6 –0,4
due to the natural balance in % 0,3 –0,3 –0,1 –0,3 –0,2 –0,2 –0,1
due to the apparent balance of inflows and outflows in % –1,9 –0,7 –0,7 –0,2 –0,3 –0,4 –0,3
Natality rate (‰) 13,9 10,9 12,2 12,2 12,3 12,4 12,5
Mortality rate (‰) 10,7 13,7 13,5 14,8 14,6 14,5 13,3
  • 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 3 081 100,0 3 551 100,0
0 to 14 years old 595 19,3 565 15,9
15 to 29 years old 549 17,8 588 16,6
30 to 44 years old 573 18,6 562 15,8
45 to 59 years old 669 21,7 684 19,3
60 to 74 years old 453 14,7 540 15,2
75 to 89 years old 223 7,2 532 15,0
90 years and over 19 0,6 80 2,3
0 to 19 years old 801 26,0 743 20,9
20 to 64 years old 1 771 57,5 1 867 52,6
65 and over 509 16,5 942 26,5
  • 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: 6 704 100,0 6 552 100,0
In the same house 6 020 89,8 5 954 90,9
In another house in the same town 279 4,2 230 3,5
In another town 406 6,0 369 5,6
  • 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 42,8 57,2
15 to 24 years old 35,5 64,5
25 to 54 years old 33,4 66,6
55 years old and over 51,3 48,7
  • 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 %

  • 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 5 744 100,0 5 666 100,0 5 430 100,0
Farmer operators 0 0,0 0 0,0 0 0,0
Craftsmen, traders, business leaders 112 1,9 140 2,5 66 1,2
Managers and higher intellectual professions 132 2,3 88 1,6 107 2,0
Middle-level occupations 482 8,4 543 9,6 567 10,5
Services employee 935 16,3 863 15,2 845 15,6
Blue-collar workers 981 17,1 931 16,4 944 17,4
Retirees 1 662 28,9 1 670 29,5 1 587 29,2
Other people with no professional activity 1 439 25,1 1 430 25,2 1 312 24,2
  • 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 2 507 2 923 100,0 100,0 100,0
Farmer operators 0 0 0,0 0,0 0,0
Craftsmen, traders, business leaders 46 20 0,7 2,3 0,2
Managers and higher intellectual professions 62 45 0,0 3,9 0,7
Middle-level occupations 339 228 9,8 17,7 3,3
Services employee 213 633 13,1 25,6 6,2
Blue-collar workers 787 157 15,4 30,6 4,6
Retirees 689 898 0,0 0,2 67,8
Other people without professional activity 371 941 60,9 19,8 17,2
  • Source: Insee, RP2019 additional operation, geography as of 01/01/2022.
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