Growth and structure of the population in 2019 Municipality of Montsenelle (50273)
This municipality has experienced contour changes since 2010:
- 01/01/2016 – Lithaire devient commune déléguée (chef-lieu) au sein de Montsenelle (50273) (commune nouvelle).
- 01/01/2016 – Création de la commune nouvelle de Montsenelle en lieu et place des communes de Coigny (50136), de Lithaire (50273), de Prétot-Sainte-Suzanne (50415) et de Saint-Jores (50497) devenues déléguées.
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 | 1 453 | 100,0 | 1 383 | 100,0 | 1 412 | 100,0 |
0 to 14 years old | 252 | 17,4 | 207 | 15,0 | 233 | 16,5 |
15 to 29 years old | 210 | 14,5 | 216 | 15,6 | 196 | 13,9 |
30 to 44 years old | 275 | 18,9 | 218 | 15,8 | 212 | 15,0 |
45 to 59 years old | 272 | 18,7 | 280 | 20,3 | 290 | 20,6 |
60 to 74 years old | 257 | 17,7 | 252 | 18,2 | 283 | 20,0 |
75 and over | 186 | 12,8 | 209 | 15,1 | 197 | 14,0 |
- 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 | 17,4 | 15,0 | 16,5 |
15 to 29 years old | 14,5 | 15,6 | 13,9 |
30 to 44 years old | 18,9 | 15,8 | 15,0 |
45 to 59 years old | 18,7 | 20,3 | 20,6 |
60 to 74 years old | 17,7 | 18,2 | 20,0 |
75 and over | 12,8 | 15,1 | 14,0 |
- 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 | 1 763 | 1 698 | 1 632 | 1 566 | 1 545 | 1 453 | 1 383 | 1 412 |
Average density (inhab / km²) | 40,9 | 39,4 | 37,9 | 36,4 | 35,9 | 33,7 | 32,1 | 32,8 |
- (*) 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.
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 % | –0,5 | –0,6 | –0,5 | –0,1 | –0,7 | –1,0 | 0,3 |
due to the natural balance in % | –0,3 | –1,1 | –1,2 | –1,3 | –0,9 | –0,8 | –0,8 |
due to the apparent balance of inflows and outflows in % | –0,2 | 0,6 | 0,7 | 1,2 | 0,3 | –0,2 | 1,1 |
Natality rate (‰) | 13,6 | 9,2 | 10,5 | 10,1 | 9,6 | 7,2 | 10,9 |
Mortality rate (‰) | 16,5 | 20,5 | 22,9 | 23,5 | 19,0 | 15,0 | 18,6 |
- 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 | 686 | 100,0 | 726 | 100,0 |
0 to 14 years old | 114 | 16,6 | 119 | 16,4 |
15 to 29 years old | 94 | 13,7 | 102 | 14,1 |
30 to 44 years old | 114 | 16,7 | 98 | 13,5 |
45 to 59 years old | 149 | 21,7 | 142 | 19,5 |
60 to 74 years old | 145 | 21,2 | 138 | 19,0 |
75 to 89 years old | 66 | 9,7 | 109 | 15,0 |
90 years and over | 3 | 0,4 | 19 | 2,6 |
0 to 19 years old | 143 | 20,8 | 161 | 22,1 |
20 to 64 years old | 379 | 55,2 | 354 | 48,8 |
65 and over | 164 | 23,9 | 211 | 29,1 |
- Source: Insee, RP2019 main operation, geography as of 01/01/2022.
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