Growth and structure of the population in 2019 Municipality of Neuville-lez-Beaulieu (08319)
This municipality has experienced contour changes since 2010:
- 01/01/2016 – La fusion de Neuville-lez-Beaulieu avec Beaulieu (08054) est transformé en fusion simple.
In the case of a merger, when the geography of the source indicated under the table / graph is after the date of the merger, the data correspond to those of the new municipality.
tableauPOP T0 - Population estimates by age range
2008 | % | 2013 | % | 2019 | % | |
---|---|---|---|---|---|---|
Altogether | 324 | 100,0 | 348 | 100,0 | 333 | 100,0 |
0 to 14 years old | 66 | 20,4 | 74 | 21,3 | 73 | 22,1 |
15 to 29 years old | 51 | 15,7 | 44 | 12,6 | 38 | 11,4 |
30 to 44 years old | 66 | 20,4 | 82 | 23,6 | 77 | 23,0 |
45 to 59 years old | 52 | 16,0 | 55 | 15,8 | 53 | 15,9 |
60 to 74 years old | 57 | 17,6 | 53 | 15,2 | 45 | 13,5 |
75 and over | 32 | 9,9 | 40 | 11,5 | 47 | 14,1 |
- Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.
tableauPOP G2 - Population estimates by age range
2008 | 2013 | 2019 | |
---|---|---|---|
0 to 14 years old | 20,4 | 21,3 | 22,1 |
15 to 29 years old | 15,7 | 12,6 | 11,4 |
30 to 44 years old | 20,4 | 23,6 | 23,0 |
45 to 59 years old | 16,0 | 15,8 | 15,9 |
60 to 74 years old | 17,6 | 15,2 | 13,5 |
75 and over | 9,9 | 11,5 | 14,1 |
- Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.
graphiquePOP G2 - Population estimates by age range

- Sources: Insee, RP2008, RP2013 and RP2019, main operations, geography as of 01/01/2022.
tableauPOP T1 - Population since 1968: population and average density (residents per square kilometre)
1968(*) | 1975(*) | 1982 | 1990 | 1999 | 2008 | 2013 | 2019 | |
---|---|---|---|---|---|---|---|---|
Population | 459 | 374 | 360 | 298 | 265 | 324 | 348 | 333 |
Average density (inhab / km²) | 12,8 | 10,4 | 10,0 | 8,3 | 7,4 | 9,0 | 9,7 | 9,3 |
- (*) 1967 and 1974 for overseas departments (DOM)
- The data proposed is established for the same geographical scope, in the geography in force on 01/01/2022.
- Sources: Insee, RP1967 to 1999 counts, RP2008 to RP2019 main holdings.
tableauPOP 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 % | –2,9 | –0,5 | –2,3 | –1,3 | 2,3 | 1,4 | –0,7 |
due to the natural balance in % | –0,1 | –0,2 | –0,3 | –1,1 | 0,3 | –0,1 | 0,0 |
due to the apparent balance of inflows and outflows in % | –2,8 | –0,3 | –2,0 | –0,2 | 2,0 | 1,5 | –0,8 |
Natality rate (‰) | 13,6 | 9,3 | 7,9 | 4,7 | 13,0 | 10,8 | 11,7 |
Mortality rate (‰) | 14,6 | 11,2 | 11,3 | 15,3 | 10,3 | 11,4 | 11,2 |
- 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
tableauPOP T3 - Population by age and sex in 2019
Male | % | Female | % | |
---|---|---|---|---|
Altogether | 154 | 100,0 | 179 | 100,0 |
0 to 14 years old | 29 | 18,8 | 45 | 24,9 |
15 to 29 years old | 20 | 13,0 | 18 | 10,0 |
30 to 44 years old | 42 | 27,2 | 35 | 19,4 |
45 to 59 years old | 25 | 16,3 | 28 | 15,6 |
60 to 74 years old | 20 | 13,0 | 25 | 14,0 |
75 to 89 years old | 14 | 9,1 | 26 | 14,5 |
90 years and over | 4 | 2,6 | 3 | 1,7 |
0 to 19 years old | 38 | 24,6 | 51 | 28,2 |
20 to 64 years old | 84 | 54,5 | 85 | 47,2 |
65 and over | 32 | 20,9 | 44 | 24,6 |
- Source: Insee, RP2019 main operation, geography as of 01/01/2022.
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