28:null 29:["$","title",null,{"children":"Tableaux (EN : 4554) | Marc Thevenin | Observable"}] 2e:T575,

${ data15.slice(0, 124).map(d => htl.html``) }

Year	Under 20	20-59	60 and more	of which : 65 and over	of which : 75 and over
${d["annee"]}	${d.age1.toFixed(1)}	${d.age2.toFixed(1)}	${d.age3.toFixed(1)}	${d.age31.toFixed(1)}	${d.age32.toFixed(1)}

2f:T74d,boxTab1 = html `

${viewof slider}

${viewof saut}

${tab1}

Scope : France. Since 2014, whole of France, including Mayotte.

* : provisional estimation.

Source : INED, “Recent Demographic Trends in France: 2025”, Annexe 2.

`30:T834,boxTab2 = html `

${tab2}

Scope: Metropolitan France through 1990, France excluding Mayotte in 2010, whole of France since 2020.

* : projections.

Sources :

1970–2020: INSEE, population estimates and population projections for 2021–2070;
INSEE Première, No. 1943, 2023, “30,000 centenarians in France in 2023, nearly 30 times more than in 1970”;
2025–2121: Detailed results of population projections for France (central scenario) – Thirty scenarios extended to 2121, Population projections.

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Evolution et projection","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"title2","database":"$undefined"},{"id":20,"value":"

\n\n \n \n \n \n \n \n \n${ df2.slice(0, 32).map(d => \n htl.html`\n \n \n \n `)\n }\n

Year	Number of centenarians	\n
${d[\"annee\"]}	${d.n.toLocaleString()}

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