25:["$","title",null,{"children":"n648 - G1 & G3 EN | Marc Thevenin | Observable"}] 4c:Td7f, boxPlot1 = { const content = htl.html `

${viewof w1} ${title1}

${viewof legend1}

${plot1b}

Life expectancy at birth (years)

C.Vandermotten, C.Dessouroux, Population & Societies, 648, October 2026, INED.

Guide: In 2000, 27% of the world’s population lived in a zone where life expectancy at birth was less than or equal to 65 years; by 2023, this proportion had fallen to 9.7%.

Sources: Data drawn from various databases (see Box 2).

`; return fullscreen(content, "boxPlot1", {target:".plot1", inBox: true, lang:"en"}); }4d:Te27, plot3 = { const zones = toggle ? df3Long.filter(d => d.zone === select) : df3Long; const others = toggle ? df3.filter(d => d.zone !== select) : []; // données pour le tooltip : régions + World (un seul pointeur => un seul tip à la fois) const tipData = [...zones, ...monde].map(d => ({...d, zoneLabel: d.zone === "Monde" ? "World" : d.zone})); return Plot.plot({ width: w2, height: w2>900 ? 0.5*w2 : w2>600 ? 0.6*w2 : 300, marginTop: 30, x: {domain: [.95, 2.60205999133], label: null, tickFormat: d=> d.toFixed(1), ticks:[1,1.69897,2,2.301,2.477, 2.602]}, y: {domain: [50,85], ticks: 10, grid: false, label: "Life expectancy at birth (years)", labelArrow: false}, color: {legend: false, domain: [2000,2023], range: [pal100[0],pal100[3]]}, marks: [ Plot.ruleY([50]), Plot.ruleX([0.95]), Plot.ruleX([1], {strokeWidth: 0.1}), Plot.ruleX([1.69897000434], {strokeWidth: 0.1}), Plot.ruleX([2], {strokeWidth: 0.1}), Plot.ruleX([2.17609125906], {strokeWidth: 0.1}), Plot.ruleX([2.30102999566], {strokeWidth: 0.1}), Plot.ruleX([2.39794000867], {strokeWidth: 0.1}), Plot.ruleX([2.47712125472], {strokeWidth: 0.1}), Plot.ruleX([ 2.54406804435], {strokeWidth: 0.1}), Plot.ruleX([ 2.60205999133], {strokeWidth: 0.1}), Plot.ruleX(w2>600 ? pibTicks : pibTicksMob, {x: d => Math.log10(d), y1: 50, y2: 50.5, stroke: "#414141"}), Plot.text(w2>600 ? pibTicks : pibTicksMob, {x: d => Math.log10(d), y: 50.5, text: d => String(d), dy: -4, lineAnchor: "bottom", fill: "#414141"}), // ols Plot.line([1, (83.1 - 46.4) / 14.1], {x: d => d, y: d => 14.1 * d + 46.4, stroke: "#d1d1d1", strokeWidth: w2>600 ? 4.5 : 2}), // autres zones : flèches gris clair discrètes (2000 -> 2023) Plot.arrow(others, { x1: "lpib2000", y1: "edv2000", x2: "lpib2023", y2: "edv2023", stroke: "#818181", strokeWidth: .6, strokeOpacity: 0.9, headLength: 8, headAngle: 40, inset: 0 }), Plot.line(zones, {x: "lpib", y: "edv", z: "zone", stroke: "#414141", strokeWidth: 1.5}), Plot.dot(zones, {x: "lpib", y: "edv", fill: "ann", r: w2>900 ? 7 : w2>600 ? 5 : 3, stroke: "black", strokeWidth: 1}), //Monde Plot.line(monde, {x: "lpib", y: "edv", z: "zone", stroke: "#414141", strokeWidth: 4}), Plot.dot(monde, {x: "lpib", y: "edv", fill: "ann", symbol: "circle", r: w2>900 ? 9 : w2>600 ? 7 : 4, stroke: "black", strokeWidth: 1}), Plot.text(monde.filter(d => d.ann === 2000), {x: "lpib", y: "edv", text: ["World"], dy: +20, fontWeight: "bold"}), Plot.ruleY([84], {x1:1.01,x2:1.09, strokeWidth:3,stroke:"#d1d1d1"}), Plot.text(["f(x) = 14.1x +46.4"],{x:1.1,y:84, textAnchor:"start", className:"reg"}), Plot.text(["R = 0.87"],{x:1.1,y:82.5, textAnchor:"start", className:"reg"}), // Tooltip unique (régions + World), le plus proche du pointeur Plot.tip(tipData, Plot.pointer({ x: "lpib", y: "edv", channels: { zoneLabel: {value: "zoneLabel", label: ""}, ann: {value: "ann", label: ""}, pib: {value: "pib", label: "GDP/cap:"}, edv: {value: "edv", label: "Life expectancy:"} }, format: {x: false, y: false, fill: false, z: false, zoneLabel: true, ann: "d", pib: d => `${d.toFixed(1)}`, edv: d => `${d.toFixed(1)} years`}, strokeWidth: 0 })) ] }); }4e:Tf92,boxPlotGraph3 = { const content = htl.html `

${viewof w2} ${title3}

${viewof legend3}

${viewof toggle}

${displaySelect}

${plot3}

GDP per capita and log of GDP per capita

C.Vandermotten, C.Dessouroux, Population & Societies, 648, October 2026, INED.

Lecture: Life expectancy in China rose from 71.8 to 77.9 years between 2000 and 2023. In 2000, Chinese GDP per capita was 12% of mean global GDP at the time, both real GDP and at purchasing power parity. By 2023, Chinese GDP had slightly exceeded the global mean.

Note: The thin black lines indicate the trajectory of progress within each regional area between 2000 and 2023. The gray line is the line of best fit. GDP per capita is expressed as a percentage of the global mean.

Sources: Data drawn from various databases (see Box 2).

`; return fullscreen(content, "boxPlot3", {target:".plot3", inBox: true, boxMax: "90%", lang:"en"}); }4f:[{"id":"fe6e7f95e9029d8b2e90ab37fa9de5a7636de0aac621b725b5a60181b223cdd88f200d30646650883a04f62e95e9ad0ebe4e272dd01f1fcaa8292bab4d10ef77","href":"https://static.observableusercontent.com/files/fe6e7f95e9029d8b2e90ab37fa9de5a7636de0aac621b725b5a60181b223cdd88f200d30646650883a04f62e95e9ad0ebe4e272dd01f1fcaa8292bab4d10ef77","name":"n648_1@4.csv","type":"text/csv","lastModified":1791868921707.401,"size":1229},{"id":"8ed547d573e4ef3937bc81b5872c78735902ab5cab5c17bc83427e4a78312e44d9a0c4c14a4793680f62a769cce2691c65d74aefee8163ee9f26c59256a4a69e","href":"https://static.observableusercontent.com/files/8ed547d573e4ef3937bc81b5872c78735902ab5cab5c17bc83427e4a78312e44d9a0c4c14a4793680f62a769cce2691c65d74aefee8163ee9f26c59256a4a69e","name":"n648_3.csv","type":"text/csv","lastModified":1791361427909.851,"size":2258},{"id":"3e31d278a8e289b8accc553c2efb2df53a4bd7af23a370e2fd5189110d4562bb0c4494eb4805d7d9a1281e941f46142da93b948815267fb0bbbe36439819b293","href":"https://static.observableusercontent.com/files/3e31d278a8e289b8accc553c2efb2df53a4bd7af23a370e2fd5189110d4562bb0c4494eb4805d7d9a1281e941f46142da93b948815267fb0bbbe36439819b293","name":"n648_1.csv","type":"text/csv","lastModified":1789458280996.579,"size":342},{"id":"4f42d21f0f4dafcff47d7040ed9421219fbdc7fe2013c5fa60773c8153fd75819cc0af8dd2579a3f29cfff45029f884837c3c0aaf90f73c5913c376e7a4cd035","href":"https://static.observableusercontent.com/files/4f42d21f0f4dafcff47d7040ed9421219fbdc7fe2013c5fa60773c8153fd75819cc0af8dd2579a3f29cfff45029f884837c3c0aaf90f73c5913c376e7a4cd035","name":"n648_3@1.csv","type":"text/csv","lastModified":1791805624050.599,"size":2616},{"id":"4f42d21f0f4dafcff47d7040ed9421219fbdc7fe2013c5fa60773c8153fd75819cc0af8dd2579a3f29cfff45029f884837c3c0aaf90f73c5913c376e7a4cd035","href":"https://static.observableusercontent.com/files/4f42d21f0f4dafcff47d7040ed9421219fbdc7fe2013c5fa60773c8153fd75819cc0af8dd2579a3f29cfff45029f884837c3c0aaf90f73c5913c376e7a4cd035","name":"n648_3@2.csv","type":"text/csv","lastModified":1791806821169.989,"size":2616},{"id":"51bef9a8159e9e9e6b607d5afcb169b7e4d8f2621f00d4271b0e3cf8a03453919a418f5f6722cf7aa37d400be89f953b81abda21076a42c3e7b180dffe8da5df","href":"https://static.observableusercontent.com/files/51bef9a8159e9e9e6b607d5afcb169b7e4d8f2621f00d4271b0e3cf8a03453919a418f5f6722cf7aa37d400be89f953b81abda21076a42c3e7b180dffe8da5df","name":"n648_1@1.csv","type":"text/csv","lastModified":1789458822875.751,"size":342},{"id":"a412dba4b0d13b986add3beeacba6a6c1cee085be3b1975639ca29794555fa71b723a04892ca0fc329c8a473cf6489d57a8cb04ad2f41f2fe58877cbc558891c","href":"https://static.observableusercontent.com/files/a412dba4b0d13b986add3beeacba6a6c1cee085be3b1975639ca29794555fa71b723a04892ca0fc329c8a473cf6489d57a8cb04ad2f41f2fe58877cbc558891c","name":"n648_1@2.csv","type":"text/csv","lastModified":1789460335352.249,"size":885},{"id":"4d5007b8a183fe6dc4ece5f47109f691c19ebb14aec1bd2922f4076b175cfbe898eb2bcbfcac9517824b4bd441ed065e760beb18643e389b7451d1868caedb9a","href":"https://static.observableusercontent.com/files/4d5007b8a183fe6dc4ece5f47109f691c19ebb14aec1bd2922f4076b175cfbe898eb2bcbfcac9517824b4bd441ed065e760beb18643e389b7451d1868caedb9a","name":"n648_1@3.csv","type":"text/csv","lastModified":1789460939556.887,"size":1055},{"id":"7868c469898ab67c062c3f9892d53459d86a948c30a7efc26077abf2cc31d244292d40a1027efd1edb54bf56a4c71203247f8a6e29b2e0582e0982d9f1d9d3d3","href":"https://static.observableusercontent.com/files/7868c469898ab67c062c3f9892d53459d86a948c30a7efc26077abf2cc31d244292d40a1027efd1edb54bf56a4c71203247f8a6e29b2e0582e0982d9f1d9d3d3","name":"n648_3@3.csv","type":"text/csv","lastModified":1791869667676.187,"size":2661}] 48:{"id":"b8bb21064ae7cc82","slug":"n648-en","title":"n648 - 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Figure 1. Breakdown of global population by life expectancy, in 2000 and 2023

`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":138,"value":"viewof legend1 = legIned([2000,2023],[\"#d1d1d1\",pal100[0]],{lang:\"en\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":137,"value":"plot1b = Plot.plot({\nwidth: w1,\nheight: w1>900 ? 0.45*w1 : w1>600 ? 0.55*w1 : 300,\nmarginTop: w1>900 ? 40 : w1>600 ? 30 : 25,\nmarginBottom: 20,\n\nfx: {axis: \"bottom\", label: null,\n domain: [...new Set(df1b.slice().sort((a, b) => a.ageNum - b.ageNum).map(d => d.age))]},\nx: {axis:null, domain: legend1.filter(d => legend1.includes(d))},\ny: {grid:true, label:\"Global population (%)\", labelArrow:false, domain:[0,40], ticks:w1>600 ? 10 : 5},\ncolor: {legend:false, domain:[2000,2023], range: [\"#d1d1d1\",pal100[0]]},\n\nmarks: [\nPlot.barY(df1b, {fx:\"age\",x:\"ann\",y:\"n\", fill:\"ann\", ry1:5,\n channels: {\n annee: {value:\"ann\",label:\"\"},\n age: {value:\"age\",label:\"\"},\n n: {value:\"n\",label:\"\"},\n },\n tip:{format:{x:false,y:false,fx:false,fill:false,\n annee:\"d\",age:d=>`${d} years`, n: d=> `${d.toFixed(1)}%`},strokeWidth:0}\n }),\nPlot.ruleY([0], {strokeWidth:.5}),\n]\n\n})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":90,"value":"$4c","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":131,"value":"## Graphique 3","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":280,"value":"data3 = FileAttachment(\"n648_3@3.csv\").csv({typed: \"auto\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":281,"value":"df3 = data3.map(({ zoneEn: zone, zoneShortEn: zoneShort, zoneFr, zoneShortFr, ...d }) => ({\n ...d,\n zone,\n zoneShort\n}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":282,"value":"df3Long = df3.flatMap(d =>\n [2000, 2023].map(ann => ({\n zone: d.zone,\n zoneShort: d.zoneShort,\n ann,\n pib: d[`pib${ann}`],\n lpib: d[`lpib${ann}`],\n edv: d[`edv${ann}`]\n }))\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":290,"value":"monde = [{ann:2000,pib:58.5, lpib:1.8,edv:66.5, zone:\"Monde\"},\n {ann:2023,pib:100, lpib:2, edv:73.2, zone:\"Monde\"}]","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":289,"value":"domainZ = [...new Set(\n df3.filter(d => d.zone)\n .sort((a, b) => a.zoneOrder - b.zoneOrder)\n .map(d => d.zone)\n)]","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":287,"value":"viewof select = selectIned({list:domainZ})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":291,"value":"viewof toggle = toggleIned( {label: \"Compare a regional area with the world\", value: false, fontSize: \"clamp(11px,2cqw,14px)\"} )","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":292,"value":"displaySelect = toggle === true ? html`${viewof select}` : \"\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":284,"value":"viewof legend3 = legIned([2000,2023],[pal100[0],pal100[3]], {shape:\"dot\",interactive:false})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":286,"value":"pibTicks = [10, 15, 20, 30, 50, 70, 100, 150, 200, 300, 400]","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":296,"value":"pibTicksMob = [10, 30, 100, 200, 400]","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":294,"value":"title3 = html`

Figure 3. Relationship between life expectancy and GDP

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