28:null 29:["$","title",null,{"children":"n641 FR | Marc Thevenin | Observable"}] 2e:T800,plot1a = Plot.plot({ width: rWidth, height: rWidth>900 ? .9*rWidth : rWidth>550 ? .9*rWidth : 350, marginTop: rWidth>900 ? 60 : rWidth>600 ? 40 : 30, marginBottom: rWidth>900 ? 70 : rWidth>600 ? 50 : 40 , marginLeft: rWidth>900 ? 70 : rWidth>600 ? 50 : 30, marginRight: rWidth>900 ? 40 : rWidth>600 ? 30 : 20, x: {tickFormat: "d", ticks: [2008,2012,2016,2020,2024], label: "Années", labelArrow: false, grid: true, labelAnchor:"center", tickSize: width>550 ? 10 : 5}, y: {label: "Nombre (en millions)", domain: [0,250], labelArrow: false, ticks: [0,50,100,150,200,250], grid: true}, color: {legend: false, domain: ["5-11 ans", "12-14 ans", "15-17 ans"], range: [pal100[2], "#9c5eca", "#dec9ed"]}, marks: [ Plot.frame(), Plot.areaY(df1a, {x:"annee",y:"n", fill:"ageFR", stroke: "white", fillOpacity:.90, channels: { annee: {value: "annee", label: ""}, age: {value: "ageFR", label: ""}, n: {value: "n", label: ""} }, tip: {format: {x: false, y: false, fill: false, z: false, annee: "d", age: true, n: d=> `${d.toFixed(0)} millions`}, anchor: "top" , strokeWidth:0}, }), Plot.dot(df1a, {x:2008, y:215, fill: "black", r:4}), Plot.dot(df1a, {x:2012, y:168, fill: "black", r:4}), Plot.dot(df1a, {x:2016, y:152, fill: "black", r:4}), Plot.dot(df1a, {x:2020, y:160, fill: "black", r:4}), Plot.dot(df1a, {x:2024, y:138, fill: "black", r:4}), Plot.line(df1a, {filter: d=> d.ageFR==="5-17 ans", x:"annee", y:"n", stroke: "black", channels: { annee: {value: "annee", label: ""}, age: {value: "ageFR", label: ""}, n: {value: "n", label: ""} }, tip: {format: {x: false, y: false, annee: "d", age: true, n: d=>`${d} millions`}, strokeWidth:0, fill:"#dedede", color: "white"}}), Plot.frame(), ] })2f:T8a0,plot1b = Plot.plot({ width: rWidth, height: rWidth>900 ? .9*rWidth : rWidth>550 ? .9*rWidth : 350, marginTop: rWidth>900 ? 60 : rWidth>550 ? 40 : 30, marginBottom: rWidth>900 ? 70 : rWidth>550 ? 50 : 40 , marginLeft: rWidth>900 ? 70 : rWidth>550 ? 50 : 30, marginRight: rWidth>900 ? 40 : rWidth>550 ? 30 : 20, x: {tickFormat: "d", ticks: [2008,2012,2016,2020,2024], label: "Années", labelArrow: false, grid: true,labelAnchor:"center", tickSize: width>550 ? 10 : 5}, y: {label: "%", labelArrow: false, domain: [0,18], ticks: 10,grid: true}, color: {legend: false, domain: ["5-11 ans", "12-14 ans", "15-17 ans", "5-17 ans", "Travail dangereux"], range: ["transparent", "transparent", "transparent", "transparent", "transparent"] }, marks: [ Plot.lineY(df1b, {x:"annee",y:"n", stroke:"ageFR", strokeWidth: width>700 ? 7 : width>400 ? 4 : 2, channels: { annee: {value: "annee", label: ""}, age: {value: "ageFR", label: ""}, n: {value: "n", label: ""} }, tip: {format: {x: false, y: false, stroke: false, z: false, annee: "d", age: true, n: d=> `${d.toFixed(1).replace(".",",")}%`}, strokeWidth:0} }), Plot.lineY(df1b, {filter: d=> d.ageFR === "5-11 ans" ,x:"annee",y:"n", stroke:pal100[2], strokeWidth: width>700 ? 7 : width>400 ? 4 : 2, strokeDasharray:[15,10]}), Plot.lineY(df1b, {filter: d=> d.ageFR === "15-17 ans" ,x:"annee",y:"n", stroke:"#dec9ed", strokeWidth: width>700 ? 7 : width>400 ? 4 : 2,}), Plot.lineY(df1b, {filter: d=> d.ageFR === "12-14 ans" ,x:"annee",y:"n", stroke:"#9c5eca", strokeWidth: width>700 ? 7 : width>400 ? 4 : 2, strokeDasharray:[7,10]}), Plot.lineY(df1b, {filter: d=> d.ageFR === "5-17 ans" ,x:"annee",y:"n", stroke:pal100[3], strokeWidth: width>700 ? 7 : width>400 ? 4 : 2, strokeDasharray:[1,10]}), Plot.lineY(df1b, {filter: d=> d.ageFR === "Travail dangereux" ,x:"annee",y:"n", stroke:pal100[0], strokeWidth: width>700 ? 7 : width>400 ? 4 : 2, strokeDasharray:[1,10]}), Plot.frame(), ] })30:Td3b,boxPlotGraph1 = htl.html `

${viewof rWidth} ${title1}

${plot1a}

${plot1b}

${legend1}

A. Verhulst-Georgoulis, E. Laurière, F. Chao, Population & Sociétés, 641, février 2026, Ined.

Note : Ces estimations ne représentent que le travail économique des enfants.

Source : Source : OIT et Unicef [1].

`31:T5f2,plot2a = Plot.plot({ width, width: rWidth, height: rWidth>900 ? .9*rWidth : rWidth>550 ? .9*rWidth : 300, marginTop: width>900 ? 60 : rWidth>550 ? 40 : 30, marginBottom: width>900 ? 70 : rWidth>550 ? 50 : 40, marginLeft: width>900 ? 70 : rWidth>550 ? 50 : 40, marginRight: width>900 ? 40 : rWidth>550 ? 30 : 20, x: {tickFormat:"d", ticks: [2008,2012,2016,2020,2024], grid: true, label: "Année", labelArrow: false, labelAnchor:"center" , tickSize: width>600 ? 10 : 5}, y: {domain:[0,125], ticks:[0,25,50,75,100,125], grid: true, label: "Nombre (en millions)", labelArrow: false, tickPadding:10}, color: {legend: false, domain: ["Afrique subsaharienne", "Amérique latine et Caraïbes", "Asie et Pacifique"], range: [pal100[5], pal100[3], pal100[4]]}, marks: [ Plot.frame({strokeWidth:.5}), Plot.line(df2a, {x:"annee", y:"n", stroke:"regionFr", strokeWidth: rWidth>600 ? 5 : 2.5,}) , Plot.dot(df2a, {x:"annee", y:"n", fill:"regionFr", stroke: "white", r: rWidth>600 ? 10 : 5, channels: { annee: {value: "annee", label: ""}, region: {value: "regionFr", label: ""}, n: {value: "n", label: ""} }, tip: {format:{x:false,y:false,z:false,stroke:false,fill: false, annee: "d", region: true, n: d=> `${d} millions`}} }) ] })32:T607,plot2b = Plot.plot({ width, width: rWidth, height: rWidth>900 ? .9*rWidth : rWidth>550 ? .9*rWidth : 300, marginTop: width>900 ? 60 : rWidth>550 ? 40 : 30, marginBottom: width>900 ? 70 : rWidth>550 ? 50 : 40, marginLeft: width>900 ? 70 : rWidth>550 ? 50 : 40, marginRight: width>900 ? 40 : rWidth>550 ? 30 : 20, x: {tickFormat:"d", ticks: [2008,2012,2016,2020,2024], grid: true, label: "Année", labelArrow: false, labelAnchor:"center", tickSize: width>600 ? 10 : 5}, y: {domain:[0,30], ticks:[0,5,10,15,20,25,30], grid: true, label: "%", labelArrow: false,}, color: {legend: false, domain: ["Afrique subsaharienne", "Amérique latine et Caraïbes", "Asie et Pacifique"], range: [pal100[5], pal100[3], pal100[4]]}, marks: [ Plot.frame({strokeWidth:.5}), Plot.line(df2b, {x:"annee", y:"n", stroke:"regionFr", strokeWidth: rWidth>600 ? 5 : 2.5,}) , Plot.dot(df2b, {x:"annee", y:"n", fill:"regionFr", stroke: "white", r: rWidth>600 ? 10 : 5, channels: { annee: {value: "annee", label: ""}, region: {value: "regionFr", label: ""}, n: {value: "n", label: ""} }, tip: {format:{x:false,y:false,z:false,stroke:false,fill: false, annee: "d", region: true, n: d=> `${d.toFixed(1).replace(".",",")}%`}} }) ] })33:Te60,boxPlotGraph2 = htl.html `

${viewof rWidth} ${title2}

${plot2a}

${plot2b}

${legend2}

A. Verhulst-Georgoulis, E. Laurière, F. Chao, Population & Sociétés, 641, février 2026, Ined.

Note : Ces estimations ne représentent que le travail économique des enfants.

Source : OIT et Unicef [1].

`34:T819,plot3a = Plot.plot({ width: rWidth, height: rWidth>900 ? .9*rWidth : rWidth>550 ? rWidth : 350, marginTop: rWidth>900 ? 40 : rWidth>550 ? 30 : 25, marginBottom: rWidth>900 ? 80 : rWidth>550 ? 60 : 40, marginLeft: rWidth>900 ? 60 : rWidth>550 ? 50 : 40, marginRight: rWidth>900 ? 40 : rWidth>550 ? 30 : 20, x: {domain: [0,100], grid: true, label: "Tâches ménagères (%)", labelArrow: false, ticks: width>500 ? 10 : 4, tickSize:width>600 ? 10 : 5}, y: {domain: [0,75], grid: true, label: "Travail économique (%)", labelArrow:false, ticks: [0,10,20,30,40,50,60,70]}, marks:[ Plot.frame({strokeWidth:0.5}), Plot.line([{x:0,y:0},{x:75,y:75}], {x:"x", y:"y", strokeWidth:1}) , Plot.dot(dataA, {filter: d=> legend3.includes(d.region) , x:"nx", y:"ny", fill: d=> d.region ==="Balkans et Europe de l'Est" ? "transparent" : d.region ==="Afrique subsaharienne" ? pal100[5] : "#bfbfbf" , fillOpacity: .7, stroke: d=> d.region ==="Balkans et Europe de l'Est" ? pal100[2] : "white", strokeWidth: rWidth>600 ? 1.5 : 1, r: rWidth>900 ? 10 : rWidth>600 ? 7.5 : 4, symbol: d=> d.region ==="Balkans et Europe de l'Est" ? "triangle2" : "circle", channels: { nx: {value:"nx", label: "Tâches ménagères :"}, ny: {value:"ny", label: "Travail économique :"}, pays: {value: "paysFr", label:""}, annee: {value: "year", label: ""} }, tip: {format: {x:false,y:false,fx:false, symbol: false, pays: true, annee: true, nx: d=> `${d.toFixed(1).replace(".",",")}%`, ny: d=> `${d.toFixed(1).replace(".",",")}%`, }, strokeWidth:.0} }), Plot.text(["3a. 2000-2023"], { x:2, y: d=> width>500 ? 70 : 70, textAnchor:"start", lineAnchor: "bottom", className:"subtitle"}), ] })35:T848,plot3b = Plot.plot({ width: rWidth, height: rWidth>900 ? .9*rWidth : rWidth>550 ? rWidth : 350, marginTop: rWidth>900 ? 40 : rWidth>550 ? 30 : 25, marginBottom: rWidth>900 ? 80 : rWidth>550 ? 60 : 40, marginLeft: rWidth>900 ? 60 : rWidth>550 ? 50 : 40, marginRight: rWidth>900 ? 40 : rWidth>550 ? 30 : 20, x: {domain: [0,100], grid: true, label:"Travail économique au sein de la famille(%)", labelArrow:false, ticks: width>500 ? 10 : 4, tickSize: width>600 ? 10 : 5}, y: {domain: [0,75], grid: true, label:"Travail économique au sein de la famille(%)", labelArrow:false, ticks: [0,10,20,30,40,50,60,70]}, marks:[ Plot.frame(), Plot.line([{x:0,y:0},{x:75,y:75}], {x:"x", y:"y", strokeWidth:1}) , Plot.dot(dataB, {filter: d=> legend3.includes(d.region) , x:"nx", y:"ny", fill: d=> d.region ==="Balkans et Europe de l'Est" ? "transparent" : d.region ==="Afrique subsaharienne" ? pal100[5] : "#bfbfbf" , fillOpacity: .7, stroke: d=> d.region ==="Balkans et Europe de l'Est" ? pal100[2] : "white", strokeWidth: rWidth>600 ? 1.5 : 1, r: rWidth>900 ? 10 : rWidth>600 ? 7.5 : 4, symbol: d=> d.region ==="Balkans et Europe de l'Est" ? "triangle2" : "circle", channels: { nx: {value:"nx", label: "Travail econ. dans la famille :"}, ny: {value:"ny", label: "Travail écon. hors de la famille :"}, pays: {value: "paysFr", label:""}, annee: {value: "year", label: ""} }, tip: {format: {x:false,y:false,fx:false, symbol: false, pays: true, annee: true, nx: d=> `${d.toFixed(1).replace(".",",")}%`, ny: d=> `${d.toFixed(1).replace(".",",")}%`, }, strokeWidth:0} }), Plot.text(["3b. 2000-2012"], { x:2, y: d=> width>500 ? 70 : 70, textAnchor:"start", lineAnchor: "bottom", className: "subtitle"}), ] })36:T1234,boxPlotGraph3 = htl.html `

${viewof rWidth} ${title3} ${viewof legend3} ${cssLegend}

${plot3a}

${plot3b}

A. Verhulst-Georgoulis, E. Laurière, F. Chao, Population & Sociétés, 641, février 2026, Ined.

Lecture : En Serbie en 2019, 19 % des enfants de 5-14 ans consacraient au moins une heure par semaine au travail économique (cette part s’élevait à 63 % dans la même tranche d’âges pour les tâches ménagères). Un point situé sous la diagonale indique donc que la participation des enfants aux tâches ménagères est plus élevée que celle au travail économique. Dans la figure 3b, un point situé sous la diagonale indique que la participation des enfants au travail économique est plus fréquente au sein de la famille qu’à l’extérieur.

Note : Chaque point correspond à un pays et une année. La catégorie « autres régions » inclut l’Amérique latine et les Caraïbes, l’Asie et le Pacifique, ainsi que l’Afrique du Nord.

Source : Base CLD-Ined, à partir d’enquêtes MICS, Bolgrien et al. [3]. Données disponibles sur https://child-labour.site.ined.fr

`37:Tf03,plot4 = Plot.plot({ width: rWidth, height: rWidth>900 ? .55*rWidth : rWidth>550 ? .6*rWidth : 350, marginTop: rWidth>900 ? 40 : rWidth>550 ? 30 : 25, marginBottom: rWidth>600 ? 50 : 30, marginLeft: rWidth>900 ? 180 : rWidth>550 ? 150 : 110, marginRight: rWidth>900 ? 40 : rWidth>550 ? 30 : 20, r: {range:[0,35], domain: [0,40], type:"sqrt"}, y: {domain: [0,6.6], grid: true, axis: false, ticks: [1,2,3,4,5,6]}, x: {domain: [0,100], grid: true, label:"Participation au travail (%)", labelArrow: false, ticks: width>800 ? 10 : width>600 ? 5 : [10,50,100]}, fx: {label: "", axis: false}, color: {legend: false, domain: ["Travail économique", "Tâches ménagères"], range: [pal100[1], pal100[3]]}, marks: [ Plot.frame(), Plot.ruleY(df4, {fx: [1], x1: 50, x2: 71, y:6, strokeWidth: width> 500 ? 1 : 0.5}), Plot.ruleY(df4, {fx: [1], x1: 31, x2: 49.6, y:5, strokeWidth: width> 500 ? 1 : 0.5}), Plot.ruleY(df4, {fx: [1], x1: 18, x2: 66.2, y:4, strokeWidth: width> 500 ? 1 : 0.5}), Plot.ruleY(df4, {fx: [1], x1: 21.7, x2: 59.9, y:3, strokeWidth: width> 500 ? 1 : 0.5}), Plot.ruleY(df4, {fx: [1], x1: 9, x2: 50.3, y:2, strokeWidth: width> 500 ? 1 : 0.5}), Plot.ruleY(df4, {fx: [1], x1: 13.1, x2: 31.1, y:1, strokeWidth: width> 500 ? 1 : 0.5}), Plot.ruleY(df4, {fx: [2], x1: 41.2, x2: 82.2, y:6, strokeWidth: width> 500 ? 1 : 0.5}), Plot.ruleY(df4, {fx: [2], x1: 27.6, x2: 75.1, y:5, strokeWidth: width> 500 ? 1 : 0.5}), Plot.ruleY(df4, {fx: [2], x1: 16.7, x2: 76.8, y:4, strokeWidth: width> 500 ? 1 : 0.5}), Plot.ruleY(df4, {fx: [2], x1: 15.4, x2: 66.8, y:3, strokeWidth: width> 500 ? 1 : 0.5}), Plot.ruleY(df4, {fx: [2], x1: 7.7, x2: 48, y:2, strokeWidth: width> 500 ? 1 : 0.5}), Plot.ruleY(df4, {fx: [2], x1: 4.5, x2: 47.5, y:1, strokeWidth: width> 500 ? 1 : 0.5}), Plot.dot(df4, {fx: "sexeNum", x:"p", y:"paysNum", fill: "typeFR", stroke: "black", strokeWidth: 1, r: d=> width>900 ? d.n*1.8 : width>600 ? d.n : d.n/2.7, channels: { sexe: {value: "sexeFR", label: ""}, pays: {value: "paysFr", label:""}, type: {value: "typeFR", label: ""}, particip: {value: "p", label: "Participation :"}, duree: {value: "n", label: "Durée :"} }, tip: {format: {x: false, y: false, fill: false, fx: false, r: false, sexe: true, pays: true, type: true, particip: d=> `${d.toFixed(1).replace(".",",")}%`, duree: d=> `${d.toFixed(0)} heures` }, strokeWidth:0}, }), Plot.text([rWidth>0 ? "Tchad \n(2019) " : "Tchad (2019) "], {fx: [1], x:-0.5, y:6, textAnchor:"end"}), Plot.text([rWidth>0 ? "Guinée-Bissau \n(2019) " : "Guinée-Bissau (2019) "], {fx: [1], x:-0.5, y:5, textAnchor:"end"}), Plot.text([rWidth>0 ? "Rep. Dem. du Congo \n(2017) " : "Rep. Dem. du Congo (2017) "], {fx: [1], x:-.5, y:4, textAnchor:"end"}), Plot.text([rWidth>0 ? "Serbie \n(2019) " : "Serbie (2019) "], {fx: [1], x:-0.5, y:3, textAnchor:"end"}), Plot.text([rWidth>0 ? "Biélorussie \n(2019) " : "Bielorussie (2019) "], {fx: [1], x:-0.5, y:2, textAnchor:"end"}), Plot.text([rWidth>0 ? "Kosovo \n(2020) " : "Kosovo (2020) "], {fx: [1], x:-0.5, y:1, textAnchor:"end"}), Plot.text(["Garçons"], {fx: [1], x:50, y:6.8, lineAnchor: "bottom"}), Plot.text(["Filles"], {fx: [2], x:50, y:6.8, lineAnchor: "bottom"}), Plot.ruleY([1], {fx: [1],x1:-11,x2:-2, y:5.5}), Plot.ruleY([1], {fx: [1],x1:-11,x2:-2, y:4.5}), Plot.ruleY([1], {fx: [1],x1:-11,x2:-2, y:3.5}), Plot.ruleY([1], {fx: [1],x1:-11,x2:-2, y:2.5}), Plot.ruleY([1], {fx: [1],x1:-11,x2:-2, y:1.5}), ], })38:Tda6, boxPlotGraph4 = htl.html `

${viewof rWidth} ${title4} ${legend4} ${cssLegend} ${plot4}

A. Verhulst-Georgoulis, E. Laurière, F. Chao, Population & Sociétés, 641, février 2026, Ined.

Note Chaque ligne correspond à une enquête. La taille des cercles est proportionnelle au nombre moyen d’heures travaillées.

Lecture Au Tchad, 41 % des filles de 5-14 ans participent à des activités économiques et y consacrent en moyenne 11 heures par semaine ; 82 % participent à des tâches ménagères et y consacrent 21 heures par semaine.

Source : Base CLD-Ined, à partir d’enquêtes MICS, Bolgrien et al. [3]. Données disponibles sur https://child-labour.site.ined.fr

`39:T694,plot5a = Plot.plot({ width, height: width>700 ? 0.9*width : width>500 ? 340 : 300, marginTop: width>1200 ? 100 : width>700 ? 80 : 20, marginBottom: width>1200 ? 120 : width>700 ? 100 : 50, marginLeft: width>1200 ? 110 : width> 900 ? 90 : width>500 ? 80 : 30, marginRight: width>500 ? 30 : 10, x: {axis: false}, y: {grid: true, domain: [0,60], label: "%", labelArrow: false, ticks: [0,10,20,30,40,50,60]}, color: {legend: false, domain: [1,2,3], range: [pal100[1], pal100[3], pal100[4]]}, marks: [ Plot.frame(), Plot.barY(df5, {x: "ageNum", y:"p", fill: "indicateurNum", stroke:"black", channels: { age: {value: "ageFR", label: ""}, indic: {value: "indicateurFr", label: "" }, p: {value: "p", label: ""} }, tip: {format: {x: false, fill: false, z:false, y: false, age: true, indic: true, p: d=> `${d.toFixed(1).replace(".",",")}%`}} }), Plot.ruleX([3.5], {stroke:"transparent"}), Plot.ruleX([7.5], {stroke:"transparent"}), Plot.ruleX([11.5], {stroke:"black"}), Plot.text([width>500 ? "5-11 ans": "5\n|\n11 ans" ], {x:2, y:-1, lineAnchor:"top"}), Plot.text([width>500 ? "12-14 ans": "12\n|\n14 ans "], {x:6, y:-1, lineAnchor:"top"}), Plot.text([width>500 ? "15-17 ans": "15\n|\n17 ans"], {x:10, y:-1, lineAnchor:"top"}), Plot.text([width>500 ? "5-17 ans": "5\n|\n17 ans"], {x:14, y:-1, lineAnchor:"top"}), Plot.text(["5a"], {x: 14, y: 55, textAnchor: "start", lineAnchor:"bottom", fill: "#ff362d"}), Plot.ruleY([0]), Plot.ruleX([1], {x:3.5, y1:1, y2:-2}), Plot.ruleX([1], {x:7.5, y1:1, y2:-2}), ] })3a:T7d7,plot5b = Plot.plot({ width, height: width>700 ? 0.9*width : width>400 ? 340 : 300, marginTop: width>1200 ? 100 : width>700 ? 80 : 20, marginBottom: width>1200 ? 120 : width>700 ? 100 : 50, marginLeft: width>1200 ? 110 : width> 900 ? 90 : width>500 ? 80 : 30, marginRight: width>500 ? 30 : 10, x: {axis: false, domain: [0.5,4.5], ticks: [1,2,3,4], label: null}, y: {grid: true, domain: [0.4,1.6], ticks: [0.4,0.6,0.8,1,1.2,1.4,1.6], tickFormat: d=>d.toFixed(1).replace(".",","), label: "Ratio filles/garçons", labelArrow: false}, color: {legend: false, domain: [1,2,3], range: [pal100[1], pal100[3], pal100[4]]}, marks: [ Plot.frame(), Plot.ruleX(df4, {x:1, y1:0.73, y2:1.15}), Plot.ruleX(df4, {x:2, y1:0.67, y2:1.3}), Plot.ruleX(df4, {x:3, y1:0.48, y2:1.15}), Plot.ruleX(df4, {x:4, y1:0.68, y2:1.16}), Plot.dot(df5, {x: "xr", y:"r", fill: "indicateurNum", stroke:"black", r: width>700 ? 20 : width>500 ? 10 : 5, channels: { age: {value: "ageFR", label: ""}, indic: {value: "indicateurFr", label: "" }, ratio: {value: "r", label: "Ratio :"} }, tip: {format: {x: false, fill: false, z:false, y: false, age: true, indic: true, ratio: d=> `${d.toFixed(1).replace(".",",")}`}} }), Plot.text([width>500 ? "5-11 ans" : "5\n|\n11 ans"], {x:1, y:0.38, lineAnchor:"top" }), Plot.text([width>500 ? "12-14 ans" : "12\n|\n14 ans"], {x:2, y:0.38, lineAnchor:"top"}), Plot.text([width>500 ? "15-17 ans" : "15\n|\n17 ans"], {x:3, y:0.38, lineAnchor:"top"}), Plot.text([width>500 ? "5-17 ans" : "5\n|\n17 ans"], {x:4, y:0.38, lineAnchor:"top"}), Plot.text(["5b"], {x: 4, y: 1.5, textAnchor: "start", lineAnchor:"bottom", fill: "#ff362d"}), Plot.ruleX([1], {x:1, y1:.4, y2: 0.42}), Plot.ruleX([1], {x:2, y1:.4, y2: 0.42}), Plot.ruleX([1], {x:3, y1:.4, y2: 0.42}), Plot.ruleX([1], {x:4, y1:.4, y2: 0.42}), Plot.ruleX([3.5]), ] })3b:T158c,boxPlotGraph5 = htl.html `

${title5}

${plot5a}

${plot5b}

${legend5}

A. Verhulst-Georgoulis, E. Laurière, F. Chao, Population & Sociétés, 641, février 2026, Ined.

Lecture : Dans la figure 5a, l’inclusion des tâches ménagères avec le seuil de 21 heures fait passer de 15 % à 17 % la proportion d’enfants exerçant un travail chez les 5-11 ans. Lorsque les seuils horaires des tâches ménagères sont identiques à ceux du travail économique, cette part s’élève à 50 %. Les filles deviennent alors majoritaires (ratio > 1 sur la figure 5b).

Note : Les résultats correspondent à la moyenne de 55 enquêtes issues de la sixième vague des MICS (2017-2023). Ces enquêtes couvrent des pays d’Afrique, d’Amérique latine, des Caraïbes, d’Asie, du Pacifique et d’Europe, mais ne sont pas représentatives du travail des enfants dans le monde pour la période considérée.

Source : Base CLD-Ined, à partir d’enquêtes MICS, Bolgrien et al. [3]. Données disponibles sur https://child-labour.site.ined.fr

`3c:T591,plotE2 = Plot.plot({ width, height: width>700 ? 0.6*width : width>400 ? 340 : 250, marginTop: width>1000 ? 80 : width>500 ? 60 : 30 , marginBottom: width> 1000 ? 100 : width>700 ? 80 : 50, marginLeft: width>1000 ? 80 : width>500 ? 50 : 30, marginRight: width>1000 ? 80 : width>700 ? 50 : 20, x: {tickFormat: "d", tickPadding: 20, ticks: [2005,2010,2015,2020], domain: [2005,2020], label: "Année", labelArrow:false, }, y: {tickFormat: d=> d.toFixed(0).replace(".",","), domain: [0,25], ticks: [0,5,10,15,20,25], label: "%", labelArrow:false, grid: true}, color: {legend: false, domain: ["Monténégro","Serbie"], range: [pal100[3], pal100[0]]}, marks: [ Plot.frame({stroke:"#222330", strokeWidth:.5}), Plot.areaY(dfE2, {x:"year", y1: 'lower', y2:"upper", fill:"country", fillOpacity:.3}) , Plot.line(dfE2, {x: "year", y: "value", stroke:"country", strokeWidth: width>500 ? 5 : 2, channels: { pays : {value: "country", label:""}, annee: {value: "year", label:""}, n: {value: "value", label: ""} }, tip: {format: {x: false, y: false, stroke: false, z: false, pays: true, annee: d=> `${d.toFixed(0)}`, n: d=> `${d.toFixed(1).replace(".",",")}%` }} }), Plot.dot(dfE2, {x: "year", y: "value", stroke:"white", fill: "country", r: width>700 ? 15 : width>400 ? 8 : 5,}), ] })3d:Te04,boxPlotGraphE2 = htl.html `

${titleE2} ${legendE2} ${plotE2}

A. Verhulst-Georgoulis, E. Laurière, F. Chao, Population & Sociétés, 641, février 2026, Ined.

Note : Les zones colorées représentent la marge d’incertitude autour de l’estimation.

Source : Base CLD-Ined, à partir d’enquêtes MICS, Bolgrien et al. [3]. Données disponibles sur https://child-labour.site.ined.fr

`3e:T6b9,filterLegend = ( domain, range, subdomain = null ) => { const defaultChecked = subdomain === null ? domain : subdomain; const value = new Map( domain.map(d => [d, defaultChecked.includes(d)]) ); const _set = () => set( node, [...value].filter(d => d[1]).map(d => d[0]) ); const oninput = e => { value.set(e.target.id, e.target.checked); _set(); }; const selectAll = () => { domain.forEach(d => value.set(d, true)); node.querySelectorAll("input[type=checkbox]") .forEach(cb => cb.checked = true); _set(); }; const selectNone = () => { domain.forEach(d => value.set(d, false)); node.querySelectorAll("input[type=checkbox]") .forEach(cb => cb.checked = false); _set(); }; const node = htl.html`

${domain.map((d, i) => htl.html`

${d}

`)}

`; _set(); return node; }; 3f:T631,css = html` 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2c:{"id":"8e961f440270f6b5","slug":null,"title":"n641 FR","thumbnail":"49e3b8e7b5c25c76853ac31b4ed41e895e2facb91573182f4e68e995d0ccb899","access_level":"public","create_time":"$D2026-02-09T13:29:26.078Z","update_time":"$D2026-08-16T20:45:39.475Z","view_time":null,"first_public_time":"$D2026-02-10T06:58:56.830Z","has_unpublished_edits":null,"fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"2982f8baffd2d3ed","login":"mthevenin","name":"Marc Thevenin","avatar_url":"https://avatars-next.observableusercontent.com/6ae55bec6f9ba0bbe9597b60f19a08df8d2f5b06630eb6929919d0306a71b058","tier":"free_2026"},"version":2362,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"b5b022ef44e3d3a2","login":"mthevenin","name":"Marc Thevenin","avatar_url":"https://avatars-next.observableusercontent.com/ff86d75fca849a58a73d37988818fed6fa039e41541174c8654ac020ffc491f5","tier":null}],"members":[{"type":"team","id":"2982f8baffd2d3ed","login":"mthevenin","name":"Marc Thevenin","avatar_url":"https://avatars-next.observableusercontent.com/6ae55bec6f9ba0bbe9597b60f19a08df8d2f5b06630eb6929919d0306a71b058","tier":"free_2026","role":"editor"},{"type":"individual","id":"b5b022ef44e3d3a2","login":"mthevenin","name":"Marc Thevenin","avatar_url":"https://avatars-next.observableusercontent.com/ff86d75fca849a58a73d37988818fed6fa039e41541174c8654ac020ffc491f5","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":1,"collection":null,"type":"notebook","body":{"titling":"auto","title":"n641 FR","cells":[{"id":0,"value":"# n641 FR ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":5,"value":"pal100 = [\n \"#ff564e\", //rouge\n \"#ff7aad\", //rose\n \"#522673\", //mauve\n \"#0042eb\", //bleu\n \"#5cd49e\", //vert\n \"#ffb322\", //jaune\n \"#4f4f4f\", //gray\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":8,"value":"## Graphique 1","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":606,"value":"df1 = FileAttachment(\"n641_1@3.csv\").csv({typed: true})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":114,"value":"title1 = html`

Figure 1. Enfants de 5-17 ans astreints au travail selon le groupe d’âges (en nombre et %)

`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":13,"value":"### Graphique a","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":15,"value":"df1a = df1.filter(d=> d.indic===\"N\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1198,"value":"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":17,"value":"$2e","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":47,"value":"### Graphique b","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":50,"value":"df1b = df1.filter(d=> d.indic===\"P\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":52,"value":"$2f","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":94,"value":"$30","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2317,"value":"legend1 = legend ([\"5-11 ans\",\"12-14 ans\",\"15-17 ans\",\"Ensemble des enfants (5-17ans)\",\"Travail dangereux (5-17ans)\"], [pal100[2],\"#9c5eca\",\"#dec9ed\",pal100[3],pal100[0],], {shape:\"line\", vertical:true, swatchWidth:60,selectAll:false, dashArray: [ \"15,5\", \"10,4\", \"\", \"4,4\", \"4,4\"], fontSize:\"clamp(12px,2cqw,16px)\"})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":190,"value":"## Graphique 2","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":258,"value":"title2 = html`

Figure 2. Enfants de 5-17 ans astreints au travail selon la région (en nombre et %)

`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":192,"value":"df2 = FileAttachment(\"n641_2.csv\").csv({typed:true})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":230,"value":"legend2 = Plot.legend({className:\"legend\", swatchWidth: 30, swatchHeight:4, columns: 1, color: { domain: [\"Afrique subsaharienne\", \"Amérique latine et Caraïbes\", \"Asie et Pacifique\"], range: [pal100[5], pal100[3], pal100[4]]}})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":232,"value":"#### Graphique a","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":195,"value":"df2a = df2.filter(d=> d.indic===\"N\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":197,"value":"$31","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":234,"value":"#### Graphique b","pinned":true,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":238,"value":"df2b = df2.filter(d=> d.indic===\"P\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":241,"value":"$32","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":982,"value":"$33","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":268,"value":"## Graphique 3","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":272,"value":"df3 = FileAttachment(\"n641_3a@12.csv\").csv({typed:true})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":776,"value":"df3b = df3.map(d=>({\n\nyear: typeof d.year==\"number\" ? d.year.toString() : d.year, \npaysFr: d.paysFr,\nregion: d.region,\nnx: d.nx,\nny: d.ny,\ngraph: d.graph \n \n}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":769,"value":"title3 = html`

Figure 3. Enfants de 5-14 ans participant à des activités productives au moins une heure par semaine (en %)

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":308,"value":"domain =[\"Afrique subsaharienne\", \"Balkans et Europe de l'Est\", \"Autres régions\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":310,"value":"range = [pal100[5], pal100[2],\"#dfdfdf\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2033,"value":"viewof legend3 = legend(domain, range, {shape:\"dot\", symbol: [\"circle\",\"triangle\",\"circle\"], selectAll:false, fontSize:\"clamp(11px,2cqw,13px)\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1341,"value":"dataA = df3b.filter(d=> d.graph===\"a\" )","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1350,"value":"#### Graph a","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":274,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1353,"value":"#### Graph b","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1357,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1355,"value":"dataB = df3b.filter(d=> d.graph===\"b\" )","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":414,"value":"$36","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":432,"value":"## Graphique 4","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":434,"value":"df4 = FileAttachment(\"n641_4@6.csv\").csv({typed:true})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":761,"value":"title4 = html`

Figure 4. Enfants de 5-14 ans participant à des activités productives au moins une heure par semaine et nombre moyen d’heures travaillées

`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2106,"value":"legend4 = legend([\"Travail économique\", \"Tâches ménagères\"], [pal100[1], pal100[3]], {selectAll:false} )","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":437,"value":"$37","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":733,"value":"$38","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":798,"value":"## Graphique 5","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":801,"value":"df5 = FileAttachment(\"n641_5@3.csv\").csv({typed:true})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":964,"value":"title5 = html`

Figure 5. Comptabilisation du travail des enfants selon différents indicateurs et ratio entre filles et garçons (2017-2023)

`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":856,"value":"legend5 = Plot.legend({className:\"legend\", swatchWidth: 15, swatchHeight:15, columns:1, color: { domain: [\"Travail économique\", \"+ Tâches ménagères (> 21 h./sem.)\", \"+ Tâches ménagères (seuils horaires identiques à ceux du travail économique)\"], range: [pal100[1], pal100[3], pal100[4]]}})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":804,"value":"$39","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":864,"value":"$3a","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":907,"value":"$3b","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1500,"value":"## Graphique encadré 2","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1502,"value":"dfE2 = FileAttachment(\"n641_E2.csv\").csv({typed: true})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1589,"value":"legendE2 = Plot.legend({className:\"legend\", color: { domain: [\"Monténégro\",\"Serbie\"], range: [pal100[3], pal100[0]]}})","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1561,"value":"#### Figure, encadré 2. Enfants de 5-11 ans participant à une activité économique au moins une heure par semaine (en %)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"titleE2","database":"$undefined"},{"id":1506,"value":"$3c","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1553,"value":"$3d","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":302,"value":"## CSS et Fonctions","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":304,"value":"function set(input, value) {\n input.value = value;\n input.dispatchEvent(new Event(\"input\", {bubbles: true}));\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":306,"value":"$3e","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":412,"value":"$3f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1926,"value":"viewof rWidth = {\n const div = html`

`;\n const ro = new ResizeObserver(entries => {\n const w = entries[0].contentRect.width;\n if (w > 0 && w !== div.value) {\n div.value = w;\n div.dispatchEvent(new CustomEvent(\"input\"));\n }\n });\n ro.observe(div);\n div.value = div.getBoundingClientRect().width || 800;\n return div;\n} ","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1928,"value":"import {legend, cssLegend, toggle, cssToggle} from \"@wsthevenin/mtinput\"","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1931,"value":"cssLegend","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W40","stdlib":"1"}} 2d:"$2c:body"