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            "action": 59,
            "target": "<h2>Agrégats régionaux :</h2>\n<p>Les estimations régionales et mondiales seront établies à partir des chiffres nationaux offrant une désagrégation appropriée. Des outils spécialisés seront mis au point et convenus avec les parties prenantes locales et internationales. Des systèmes d'assurance qualité liés à l'utilisation des outils, l'analyse et l'établissement de rapports seront déployés aux niveaux régional et mondial afin de garantir l'uniformité des normes et l'application universelle des définitions.</p>\n<p>On s'attend à ce que les investissements dans l'amélioration de la collecte et du suivi des données au niveau national incitent les gouvernements à améliorer leurs rapports et leurs performances, et qu'ils soient plus disposés à s'engager avec de multiples parties prenantes dans la collecte et l'analyse des données et à mieux comprendre les forces et les faiblesses des définitions existantes et de leurs applications. </p>",
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            "action": 30,
            "target": "<p>Regional and global estimates will be derived from national figures using weighed averages. Weighting is done using urban population sizes from the World Urbanization Prospects. Global monitoring will be led by UN-Habitat with the support of other partners and regional commissions.</p>",
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            "timestamp": "2022-02-10T22:09:09.165389+01:00",
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            "target": "<h2>Traitement des valeurs manquantes : </h2>\n<ul>\n  <li><strong>Au niveau national :</strong></li>\n</ul>\n<p>Il est attendu que tous les pays soient en mesure de rapporter cet indicateur de façon cohérence et complète. Pour certains pays, il est possible qu'il y ait des données manquantes pour certains groupes particuliers, dont les données ne sont pas enregistrées, sont inconnues ou ne sont pas disponibles, mais des données nationales devraient néanmoins être disponibles. Au niveau de la collecte des données, les procédures propres aux enquêtes relatives au traitement des valeurs manquantes seront appliquées selon l’unité d’analyse ou l’unité d’échantillonnage primaire.</p>\n<ul>\n  <li><strong>Aux niveaux régional et mondial :</strong></li>\n</ul>\n<p>Les estimations globales seront ajustées grâce à une modélisation basée sur les tendances afin de tenir compte des données manquantes.</p>",
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            "action": 30,
            "target": "<ul>\n  <li><strong>At country level</strong></li>\n</ul>\n<p>All countries are expected to fully report on this indicator more consistently with few challenges where missing values will be reported at the national/global level. At the national level, it is possible that missing values will be recorded perhaps representing gaps of non-measurements among populations whose status of slum-hood or informality or inadequate housing is not recorded, unknown or where data is unavailable. Because the values will be aggregated at the national levels, missing values will be less observed at these levels, but are likely to affect the estimates. At the survey and data collection level, survey procedures for managing missing values will be applied based on the unit of analysis/ primary sampling units.</p>\n<ul>\n  <li><strong>At regional and global levels</strong></li>\n</ul>\n<p>Global estimates will be adjusted with modelling based on trends to cater for missing information or data.</p>\n<p><em>Regional and global estimates for global monitoring</em></p>\n<p>Regional and global estimates will be derived from national figures with an appropriate disaggregation level. Specialized tools will be developed and agreed upon with local and international stakeholders. Systems of quality assurance on the use of the tools, analysis and reporting will be deployed regionally, and global to ensure that standards are uniform and that definitions are universally applied.</p>\n<p>We expect that investments in improved data collection and monitoring at country level will produce incentives for governments to improve reporting and performance and also greater readiness to engage with multiple stakeholders in data collection and analysis and in achieving better understanding of the strengths and weaknesses of existing slum definitions and their applications. </p>\n<p><em>Sources of differences between global and national figures:</em></p>\n<p>As national agencies are responsible for data collection, no differences between country produced data and international estimated data on the indicator are expected to arise if standard methodologies and procedures are followed at all stages of the reporting process. Missing data and other local variables and frequency of data collection usually affects the figures reported at the global and national level. For this indicator, national data will be used to derive global figures. In instances where global values differ from national figures, efforts will be made for harmonization.</p>",
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            "id": 17109191,
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            "timestamp": "2022-02-10T22:09:09.165179+01:00",
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            "target": "<h1>Méthodologie</h1>\n<h2>Méthode de calcul :</h2>\n<p>L'indicateur comporte deux composantes à calculer comme suit :</p>\n<p>1) Pourcentage de personnes vivant dans des quartiers de taudis/établissements informels (SISH) : </p>\n<p><em>= 100 [Nombre de personnes vivant dans des SISH/population urbaine] </em></p>\n<p>2) Pourcentage de personnes vivant dans des ménages à logement inadéquat (IHH) :</p>\n<p><em>= 100 [Nombre de personnes vivant dans des logements inadéquats/population urbaine] </em></p>\n<p>L'unité de mesure pour tous ces indicateurs sera le pourcentage. Présentement, les données pour cet indicateur sont déjà rapportées dans presque tous les pays en développement pour ce qui concerne les bidonvilles et les établissements informels, et dans certains pays pour ce qui concerne les dépenses de logement (pour les logements inadéquats). L'indicateur 11.1.1 des ODD contribuera donc à rendre compte d'un éventail plus large de conditions de logement inadéquats affectant les ménages dans tous les pays.</p>",
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            "timestamp": "2022-02-10T22:09:09.165135+01:00",
            "action": 30,
            "target": "<p>The indicator considers two components to be computed as follows:</p>\n<ol>\n  <li>Percentage of people living in Slum/Informal Settlements households (SISH): </li>\n</ol>\n<p> </p>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mo>=</mo>\n    <mi>&amp;nbsp;</mi>\n    <mn>100</mn>\n    <mfenced open=\"[\" close=\"]\" separators=\"|\">\n      <mrow>\n        <mfrac>\n          <mrow>\n            <mi>N</mi>\n            <mi>u</mi>\n            <mi>m</mi>\n            <mi>b</mi>\n            <mi>e</mi>\n            <mi>r</mi>\n            <mi>&amp;nbsp;</mi>\n            <mi>o</mi>\n            <mi>f</mi>\n            <mi>&amp;nbsp;</mi>\n            <mi>p</mi>\n            <mi>e</mi>\n            <mi>o</mi>\n            <mi>p</mi>\n            <mi>l</mi>\n            <mi>e</mi>\n            <mi>&amp;nbsp;</mi>\n            <mi>l</mi>\n            <mi>i</mi>\n            <mi>v</mi>\n            <mi>i</mi>\n            <mi>n</mi>\n            <mi>g</mi>\n            <mi>&amp;nbsp;</mi>\n            <mi>i</mi>\n            <mi>n</mi>\n            <mi>&amp;nbsp;</mi>\n            <mi>S</mi>\n            <mi>I</mi>\n            <mi>S</mi>\n            <mi>H</mi>\n            <mi>&amp;nbsp;</mi>\n          </mrow>\n          <mrow>\n            <mi>U</mi>\n            <mi>r</mi>\n            <mi>b</mi>\n            <mi>a</mi>\n            <mi>n</mi>\n            <mo>/</mo>\n            <mi>C</mi>\n            <mi>i</mi>\n            <mi>t</mi>\n            <mi>y</mi>\n            <mi>&amp;nbsp;</mi>\n            <mi>p</mi>\n            <mi>o</mi>\n            <mi>p</mi>\n            <mi>u</mi>\n            <mi>l</mi>\n            <mi>a</mi>\n            <mi>t</mi>\n            <mi>i</mi>\n            <mi>o</mi>\n            <mi>n</mi>\n          </mrow>\n        </mfrac>\n      </mrow>\n    </mfenced>\n  </math></p>\n<ol>\n  <li>Percentage of people living in Inadequate housing households (IHH):</li>\n</ol>\n<p><math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n    <mo>=</mo>\n    <mi>&amp;nbsp;</mi>\n    <mn>100</mn>\n    <mfenced open=\"[\" close=\"]\" separators=\"|\">\n      <mrow>\n        <mfrac>\n          <mrow>\n            <mi>N</mi>\n            <mi>u</mi>\n            <mi>m</mi>\n            <mi>b</mi>\n            <mi>e</mi>\n            <mi>r</mi>\n            <mi>&amp;nbsp;</mi>\n            <mi>o</mi>\n            <mi>f</mi>\n            <mi>&amp;nbsp;</mi>\n            <mi>p</mi>\n            <mi>e</mi>\n            <mi>o</mi>\n            <mi>p</mi>\n            <mi>l</mi>\n            <mi>e</mi>\n            <mi>&amp;nbsp;</mi>\n            <mi>l</mi>\n            <mi>i</mi>\n            <mi>v</mi>\n            <mi>i</mi>\n            <mi>n</mi>\n            <mi>g</mi>\n            <mi>&amp;nbsp;</mi>\n            <mi>i</mi>\n            <mi>n</mi>\n            <mi>&amp;nbsp;</mi>\n            <mi>I</mi>\n            <mi>H</mi>\n            <mi>H</mi>\n          </mrow>\n          <mrow>\n            <mi>U</mi>\n            <mi>r</mi>\n            <mi>b</mi>\n            <mi>a</mi>\n            <mi>n</mi>\n            <mo>/</mo>\n            <mi>C</mi>\n            <mi>i</mi>\n            <mi>t</mi>\n            <mi>y</mi>\n            <mi>&amp;nbsp;</mi>\n            <mi>p</mi>\n            <mi>o</mi>\n            <mi>p</mi>\n            <mi>u</mi>\n            <mi>l</mi>\n            <mi>a</mi>\n            <mi>t</mi>\n            <mi>i</mi>\n            <mi>o</mi>\n            <mi>n</mi>\n          </mrow>\n        </mfrac>\n      </mrow>\n    </mfenced>\n  </math></p>\n<p>The unit of measurements for all these indicators will be %. Currently, the data for this indicator is already being reported in nearly all developing countries on what refers to slums and informal settlements, and in some countries for what refers to expenditure on housing (for inadequate housing). The SDG indicator 11.1.1 will therefore contribute to report on a broader spectrum of inadequate housing conditions affecting households in all countries.</p>",
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            "timestamp": "2022-02-10T22:09:09.165081+01:00",
            "action": 59,
            "target": "<h2>Commentaires et limites :</h2>\n<p>Comme pour tous les indicateurs, il existe un certain nombre de défis et de limites potentiels. Certains d'entre eux sont décrits ci-dessous :</p>\n<ul>\n  <li>Difficultés à s'entendre sur des définitions et caractéristiques communes\nlorsqu'il est question de conditions de logement dégradées, souvent en raison de considérations politiques ou économiques.</li>\n  <li>Manque d'outils appropriés aux niveaux national et municipal pour mesurer\ntous les éléments requis pour l'indicateur 11.1.1, ce qui entraîne parfois la sous-estimation des unités de logement détériorées.</li>\n  <li>La relation complexe entre la sécurité d'occupation des terres et la propriété\nfait qu'il est difficile, mais vital, d'inclure cet aspect dans les différentes enquêtes, et donc de le mesurer et de le contrôler. </li>\n  <li>L'indicateur ne mesure pas le sans-abrisme.</li>\n  <li>De nombreux pays ont encore des capacités limitées en matière de collecte,\nde gestion et d'analyse des données et de leur mise à jour et suivi. Ces capacités sont essentielles pour assurer la cohérence des données au niveau national et mondial.</li> </ul>",
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            "target": "<h2>Justification : </h2>\n<p>Tel qu'illustré au tableau 1, la plupart des critères définissant les taudis, les établissements informels et les logements inadéquats se recoupent. Les critères définissant les établissements informels sont essentiellement repris dans la définition des taudis, qui inclut donc à la fois taudis et établissements informels. Parmi les critères définissant les logements inadéquats, ceux qui ne sont pas couverts dans la définition des taudis et des établissements informels sont l'abordabilité, l'accessibilité et l'adéquation culturelle. Pour la création d'un indicateur composite, l'abordabilité serait le critère le plus pertinent et le plus facile à mesurer. </p>\n<p>Ainsi, il est proposé de regrouper la définition des taudis avec celle des établissements informels, pour permettre la comparaison avec les OMD, et d'ajouter l'élément <em>abordabilité</em> à la définition du logement inadéquat. </p>\nÀ cet égard, <em>l'abordabilité du logement</em> n'est pas seulement un critère clé de l'adéquation du logement, mais aussi un moyen approprié de mesurer l'inadéquation du logement de manière plus globale, car elle demeure un défi dans plusieurs pays et pour plusieurs niveaux de revenus, et a un impact négatif important sur l'inégalité urbaine. </p>\n<p>Le principe sous-jacent est que les coûts financiers des ménages liés au logement ne doivent pas menacer ou compromettre la réalisation et la satisfaction d'autres besoins fondamentaux tels que l'alimentation, l'éducation, l'accès aux soins de santé, le transport, etc. Dans le cadre du programme d'indicateurs urbains de l'ONU-Habitat (1996-2006), l'inabordabilité est actuellement mesurée comme la dépense mensuelle nette pour le coût du logement qui dépasse 30 % du revenu mensuel total du ménage.</p>\n<p>Ainsi, l'indicateur 11.1.1 pourrait être un <strong>indicateur composite</strong> reposant sur le concept de logement inadéquat, dont la définition inclurait les principales composantes des taudis et établissements informel ainsi que l'abordabilité. Le tableau 2 fournit en détails la définition proposée ainsi que les mesures respectives. </p>\n<h2>Tableau 2 &#x2013; Définition et critères utilisés pour définir les taudis, les établissements informels et les logements inadéquats</h2>\n<table>\n  <tbody>\n    <tr>\n      <td>\n        <h2>Taudis / Établissements informels</h2>\n      </td>\n      <td>\n        <h2>DÉFINITION :</h2>\n        <p>Tel qu'adopté dans le cadre des OMD, inclut les ménages dont les membres\nsouffrent d'au moins une des &#x2018;privations&#x2019; suivantes : 1) Manque d'accès à une source d'eau améliorée ; 2) Manque d'accès à des installations sanitaires améliorées ; 3) Surface habitable insuffisante ; 4) Problème de durabilité du logement ; ou 5) Insécurité d'occupation.</p>\n      </td>\n      <td>\n        <h2>MESURE<sup><a href=\"#footnote-12\" id=\"footnote-ref-12\">[12]</a></sup>:</h2>\n        <p><em>Insécurité d'occupation :</em></p>\n        <p>&#x2022; Proportion des ménages ayant un titre de propriété officiel\nà la fois sur la terre et la résidence.</p>\n        <p>&#x2022; Proportion des ménages ayant un titre de propriété officiel\nsur la terre ou la résidence.</p>\n        <p>&#x2022; Proportion des ménages disposant d'un accord ou de tout document\nattestant d'une entente d'occupation.</p>\n        <p><em>Accès à une eau améliorée  :</em></p>\n        <p>Une agglomération a un approvisionnement en eau potable insuffisant si\nmoins de 50 % des ménages disposent d'un approvisionnement en eau amélioré :</p>\n        <p>&#x2022;ménage connecté ;</p>\n        <p>&#x2022;accès à un robinet public/tuyau de borne-fontaine ;</p>\n        <p>&#x2022;collecte d'eau de pluie ; Accès à au moins 20 litres/personne/jour\nà une distance raisonnable.</p>\n        <p><em>Accès à des installations sanitaires améliorées :</em></p>\n        <p>Une agglomération ne dispose pas d'un assainissement adéquat si moins\nde 50 % des ménages disposent d'un assainissement amélioré :</p>\n        <p>&#x2022; égouts publics ;</p>\n        <p>&#x2022; fosse septique ;</p>\n        <p>&#x2022; latrines à chasse d'eau ;</p>\n        <p>&#x2022; latrines à fosse améliorées et ventilées.</p>\n        <p>Le système d'évacuation des excréments est considéré comme adéquat s'il\nest privé ou partagé par un maximum de deux ménages.</p>\n        <p><em>Qualité structurelle du logement et emplacement :</em></p>\n        <p>Proportion des ménages résidant sur ou à proximité d'un site dangereux.\nLes sites suivants doivent être pris en compte :</p>\n        <p>&#x2022; logement dans les zones géologiquement dangereuses (zones de\nglissements de terrain, séismes et inondations) ;</p>\n        <p>&#x2022; logement sur ou sous des montagnes d'ordures ;</p>\n        <p>&#x2022;  logement autour de zones industrielles hautement polluées ;</p>\n        <p>&#x2022; logement autour d'autres zones à haut risque non protégées (par\nexemple les chemins de fer, les aéroports, les lignes de transmission).</p>\n        <p><em>Qualité structurelle du logement et permanence de la structure :</em></p>\n        <p>Proportion de ménages vivant dans des structures temporaires et/ou délabrées.\nLes facteurs suivants doivent être pris en compte lors du placement d'une unité de logement dans ces catégories :</p>\n        <p>&#x2022; qualité de la construction (par exemple les matériaux utilisés\npour les murs, le plancher et le toit) ;</p>\n        <p>&#x2022; respect des codes, normes et règlements locaux en matière de\nconstruction.</p>\n        <p><em>Surface habitable suffisante / surpeuplement :</em></p>\n        <p>&#x2022; Proportion des ménages ayant plus de deux personnes par pièce.</p>\n      </td>\n    </tr>\n    <tr>\n      <td>\n        <h2>Logement inadéquat </h2>\n      </td>\n      <td>\n        <h2>DÉFINITION : </h2>\n        <p>Il est proposé de compléter la définition des taudis/établissements informels\navec une mesure d'abordabilité du logement.</p>\n      </td>\n      <td>\n        <h2>MESURE : </h2>\n        <p><em>Abordabilité : </em></p>\n        <p>&#x2022; Proportion des ménages dont les dépenses mensuelles nettes de\nlogement dépassent 30 % du revenu mensuel total du ménage.</p>\n      </td>\n    </tr>\n  </tbody>\n</table><div class=\"footnotes\"><div><sup>12</sup><p> Mesures basées sur celle de : (2003) UN-Habitat Challenge of Slums, p.12. <a href=\"#footnote-ref-12\">&#x2191;</a></p></div></div>",
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            "id": 17109184,
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            "target": "<h1>Fournisseurs et compilateurs de données</h1>\n<p>Cet indicateur a été en grande partie développé avec succès grâce à la collaboration de plusieurs organisations et institutions, dont ONU-Habitat, le Programme des Nations unies pour l'environnement (PNUE), Cities Alliance, Slum dwellers International et la Banque mondiale. Plusieurs autres experts ont également contribué à l'élaboration des concepts, de la justification et des définitions, ainsi que des métadonnées, et soutiendront également les mesures, les rapports et le dialogue politique au niveau national.</p>\n<p>Les fournisseurs de données nationaux, en particulier les bureaux nationaux de statistique, joueront un rôle important dans la production de données primaires par le biais de recensements et d'enquêtes.</p>",
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            "target": "<p>This indicator has largely been successfully due to the collaborations between several organizations and institutions including UN- Habitat, UNEP, Cities Alliance, Slum dwellers International, and World Bank. There are several other experts who have also contributed to the development of the concepts, rationale and definitions, and metadata and will also support measurement, reporting and policy dialogue at the country level, based on the indicators.</p>\n<p> </p>\n<p>National Statistical Offices will play an important role in the monitoring and reporting process through census and surveys. Final Compilation &amp; reporting at the global level will be lead and guided by UN-Habitat with support from selected partners. </p>",
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            "id": 17109181,
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            "target": "<h1>Calendrier</h1>\n<p>Toutes les grandes enquêtes et les processus de collecte des données des recensements continueront d'intégrer les aspects/composantes nécessaires pour suivre cet indicateur. </p>",
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            "target": "<p>All major surveys and census data collection process will continue to incorporate the aspects/components necessary for reporting on this indicator. The monitoring of this indicator will be repeated at regular intervals of 3-5 years, allowing for 3 five-year reporting points until the year 2030. </p>\n<p>UN-Habitat has developed simple reporting template to collect data from countries (<a href=\"https://data.unhabitat.org/pages/guidance\">https://data.unhabitat.org/pages/guidance</a>). The template, which is sent to countries on an annual basis is expected to be used until 2030, but slight changes may be effected as data on more aspects becomes available. </p>",
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            "id": 17109178,
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            "target": "<h1>Sources de données</h1>\n<h2>Sources et collecte des données :</h2\n<p>Les données pour les composantes de l'indicateur relatives aux taudis/établissements informels peuvent être calculées à partir des données des recensements et des enquêtes nationales auprès des ménages, y compris les enquêtes démographiques et de santé (EDS) et les enquêtes en grappes à indicateurs multiples (EGIM). Les données relatives à la composante logement inadéquat peuvent être calculées à partir d'enquêtes sur les revenus recueillant les dépenses de logement.</p>\n<p>Comme pour tous les objectifs et cibles du Programme 2030, la mesure de la réalisation de cet indicateur nécessitera la mobilisation des moyens nécessaires pour en assurer un suivi efficace, en appelant à des partenariats revitalisés avec la participation de tous les pays, de toutes les parties prenantes et de toutes les communautés concernées.</p>\n<p>Les fournisseurs de données nationaux (en particulier les bureaux nationaux de statistique) joueront un rôle important en produisant les données primaires par le biais de recensements et d'enquêtes. Les estimations régionales et mondiales seront établies à partir des chiffres nationaux offrant une désagrégation appropriée. Des outils spécialisés seront développés et convenus avec les parties prenantes locales et internationales. Des systèmes d'assurance de la qualité liés à l'utilisation des outils, l'analyse et l'établissement de rapports seront déployés au niveau régional et mondial afin de garantir l'uniformité des normes et l'application universelle des définitions.</p>",
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            "target": "<p>Data for the slum/informal settlements components of the indicator can be computed from Census and national household surveys, including DHS and MICS. Data for the inadequate housing component can be computed through income and household surveys that capture housing expenditures.</p>\n<p>As per all the agreed Agenda 2030&#x2019;s goals and targets, to measure the achievement of this indicator will require the mobilisation of means required to efficiently monitor them, calling for revitalised partnerships with the participation of all countries, all stakeholders and all communities concerned.</p>\n<p>For primary reporting, national data providers (especially the Statistical agencies) will play an important role generating the primary data through census and surveys. Regional and global estimates will be derived from national figures with appropriate disaggregation. Specialized tools will be developed and agreed upon with local and international stakeholders. Quality assurance on the use of the tools, analysis and reporting will be deployed regionally and globally, to ensure that standards are uniform and that definitions are universally applied.</p>",
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            "target": "<h1>Concepts et définitions</h1>\n<p>Le secteur du logement, avec ses institutions, ses lois et ses règlements, touche à tous les aspects de l'économie d'un pays et pratiquement tous les secteurs du développement social. Les personnes vivant dans des logements adéquats sont en meilleure santé et ont plus de chances d'améliorer leur capital humain et de saisir les opportunités offertes dans les contextes urbains. De plus, un secteur du logement qui fonctionne bien agit comme un &#x2018;multiplicateur de développement&#x2019; en profitant aux industries complémentaires et en contribuant au développement économique, à la création d'emplois, à la fourniture de services et à la réduction globale de la pauvreté. En général, pour chaque emploi dans le secteur de la construction de maisons, 1,5 à 2 emplois supplémentaires sont créés dans les secteurs des matériaux de construction et des autres intrants. Les contributions du logement à la prospérité urbaine sont également évidentes. L'Initiative pour la prospérité des villes de l'ONU-Habitat révèle que les logements inadéquats ont des effets négatifs sur plusieurs autres dimensions de la prospérité urbaine. Les milieux urbains où les conditions de logement sont inférieures à la moyenne composent généralement avec un manque d'équité et d'inclusion, une réduction de la sécurité urbaine et des possibilités de subsistance, et négligent la connectivité et l'offre d'espaces publics.</p>\n<p>Le logement inadéquat demeure un défi mondial de durabilité urbaine, mais aussi une opportunité de développement. En même temps, le thème du &#x2018;logement adéquat&#x2019; et surtout le terme &#x2018;taudis&#x2019; sont souvent très politisés. Des définitions plus nuancées de ces termes favoriseraient un débat plus pertinent, un engagement plus important de toutes les parties prenantes clés et l'élaboration de recommandations spécifiques à appliquer dans chaque contexte et milieu.</p> \n<p>Afin d'élaborer une définition plus nuancée, il faut tenir compte d'un certain nombre de termes interdépendants lorsqu'on envisage un indicateur pour la cible 11.1 des ODD. Il s'agit notamment de logements inadéquats et inabordables, d'établissements informels et de taudis.</p>\n<p><strong><em>Abordabilité du logement</em></strong></p>\n<p>L'offre de logements adéquats et abordables constitue l'un des principaux défis liés à l'urbanisation, observé partout dans le monde. Les résultats de l'échantillon mondial des villes de l'ONU<sup><a href=\"#footnote-1\" id=\"footnote-ref-1\">[1]</a></sup> montrent que des habitants de tous les types de centres urbains n'ont pas les moyens d'accéder à la propriété ou même de payer le coût d'un logement locatif. Dans les pays à faible revenu, par exemple, les ménages doivent épargner l'équivalent de près de huit fois leur revenu annuel pour pouvoir s'offrir le prix d'une maison standard dans leur ville. S'ils sont locataires, les ménages doivent consacrer plus de 25 % de leur revenu mensuel au paiement du loyer<sup><a href=\"#footnote-2\" id=\"footnote-ref-2\">[2]</a></sup>. </p> \n<p>La question de l'abordabilité touche aussi bien les pays développés que les pays en développement. En Amérique latine, le rapport élevé entre le prix des maisons et les revenus et l'inaccessibilité du financement obligent les ménages à recourir à des solutions informelles qui ne leur permettent pas de bénéficier des avantages des règlements liés à la planification et à la sécurité. Dans de nombreuses régions d'Afrique subsaharienne, moins de 10 % des ménages sont en mesure de s'offrir un prêt hypothécaire, même pour la maison la moins chère nouvellement construite. En fait, les ménages africains doivent faire face à des coûts de logement 55 % plus élevés par rapport à leur PIB par habitant que ceux d'autres régions<sup><a href=\"#footnote-3\" id=\"footnote-ref-3\">[3]</a></sup>. Dans de nombreux pays européens, les familles, en particulier les jeunes, doivent consacrer une partie importante de leurs budgets au logement, ce qui leur en laisse beaucoup moins pour d'autres nécessités telles que la nourriture, la santé, le transport et les vêtements. Dans certaines circonstances extrêmes, des ménages sont contraints de quitter leur logement car ils sont incapables de le payer. La crise migratoire actuelle a aggravé les conditions de logement dans la région, une tendance qui semble vouloir se poursuivre dans les prochaines années.</p>\n<p><strong><em>Logements inadéquats, établissements informels et taudis</em></strong></p>\n<p>Aujourd'hui, on estime à 1,6 milliard le nombre de personnes vivant dans des logements inadéquats dans le monde, dont 1 milliard dans des taudis et des établissements informels<sup><a href=\"#footnote-4\" id=\"footnote-ref-4\">[4]</a></sup>. Cela signifie que dans les villes, environ une personne sur quatre vit dans des conditions qui nuisent à sa santé, sa sécurité, sa prospérité et ses opportunités. Le manque d'accès aux services de base est une contrainte courante dans les établissements informels et les taudis : dans le monde, 2,4 milliards de personnes vivent sans installations sanitaires et 2 milliards sont touchées par le stress hydrique. Malgré une diminution de 39 à 30 % de la population urbaine vivant dans des taudis entre 2000 et 2014, les chiffres absolus continuent à augmenter : actuellement, on estime qu'un quart de la population urbaine mondiale vit dans des taudis, soit 881 millions de personnes contre 792 millions en 2000. Les jeunes ménages dirigés par des femmes et des enfants sont souvent les plus vulnérables aux conditions de logement inadéquates. Le sans-abrisme est également un problème croissant et on estime que plus de 100 millions de personnes sont sans-abri dans le monde<sup><a href=\"#footnote-5\" id=\"footnote-ref-5\">[5]</a></sup>.</p>\n<p>Les taudis représentent l'une des formes les plus extrêmes de privation et d'exclusion et demeurent un facteur critique de la persistance de la pauvreté et de l'exclusion dans le monde. Il s'agit  en fait d'un des principaux défis de l'urbanisation durable et inclusive. Les recherches montrent que d'autres formes de pauvreté urbaine, notamment sous la forme d'établissements informels, deviennent de plus en plus répandus, y compris dans les pays développés.</p>\n<p>En même temps, toutes les personnes qui vivent dans des logements inadéquats ne vivent pas dans des taudis, mais vivent néanmoins dans des conditions très inférieures aux normes des milieux urbains où elles se trouvent. La nature de ces conditions de vie insatisfaisantes doit être saisie et mieux représentée dans les données mondiales, nationales et municipales afin de garantir un meilleur portrait des logements inadéquats. Dans cette optique, les définitions suivantes sont proposées.</p>\n<h2>Définition et concepts : </h2>\n<p>Conformément à l'Agenda 2030, il est nécessaire d'identifier et de quantifier la proportion de la population vivant dans des <strong>taudis</strong>, des <strong>établissements informels</strong> et des <strong>logements inadéquats</strong> afin de guider l'élaboration de politiques et programmes appropriés visant à garantir l'accès de tous à un logement convenable et l'amélioration des taudis.</p>\n<p> </p>\n<p><strong><em>Taudis</em></strong></p>\n<p>Une réunion d'experts a été organisée en 2002 par ONU-Habitat, la Division des statistiques des Nations unies et Cities Alliance afin d'établir une définition opérationnelle du concept de taudis, qui pourrait être utilisée pour mesurer l'indicateur de la cible 7.D des Objectifs du Millénaire pour le développement (OMD). Selon la définition retenue, un <em>&#x2018;ménage vivant dans un taudis&#x2019;</em> est un ménage dont les membres souffrent d'une ou plusieurs des <em>&#x2018;privations&#x2019;</em> suivantes :</p>\n<ol>\n<li>Manque d'accès à une source d'eau améliorée ;</li>\n<li>Manque d'accès à des installations sanitaires améliorées ;</li>\n<li>Surface habitable insuffisante ;</li>\n<li>Problème de durabilité du logement ; ou</li>\n<li>Insécurité d'occupation. </li>\n<p>Par extension, le terme <em>&#x2018;habitant de taudis&#x2019;</em> désigne une personne vivant dans un ménage qui ne possède pas au moins un de ces attributs<sup><a href=\"#footnote-6\" id=\"footnote-ref-6\">[6]</a></sup>.</p>\n</ol>\n <p>Ces cinq composantes, toutes dérivées de la définition de logement adéquat,\nont été utilisées pour le suivi des OMD, en tant que données primaires ou secondaires, pour déterminer le nombre de personnes vivant dans des taudis dans les pays en développement. Elles ont également servi de base pour établir la réalisation de la cible 7.D de l'OMD 7. Pour chaque composante, les experts ont convenu des sous-définitions suivantes <sup><a href=\"#footnote-7\" id=\"footnote-ref-7\">[7]</a></sup>:</p> <p>1) Accès à une eau améliorée &#x2013; On considère qu'un ménage a accès à une eau potable améliorée s'il dispose d'une quantité d'eau suffisante (20 litres/personne/jour) pour l'usage familial, à un prix abordable (moins de 10 % du revenu total du ménage) et disponible pour les membres du ménage sans être soumis à un effort extrême (moins d'une heure par jour pour la quantité minimale suffisante), en particulier pour les femmes et les enfants. Une source d'eau potable améliorée est une installation qui est protégée contre la contamination extérieure, en particulier contre les contaminations dues aux matières fécales. Les sources d'eau potable améliorées comprennent : l'eau canalisée dans l'habitation, la parcelle ou la cour ; le robinet public/le tuyau de borne-fontaine ne desservant pas plus de 5 ménages ; la source protégée ; la collecte d'eau de pluie ; l'eau en bouteille (si la source secondaire est également améliorée) ; le trou de forage/le puits tubulaire ; et le puits creusé protégé.</p>\n<p>2) Accès à des installations sanitaires améliorées &#x2013; Un ménage est considéré comme ayant accès à des installations sanitaires améliorées si un système d'évacuation des excréments, sous la forme de toilettes privées ou de toilettes publiques partagées avec un nombre raisonnable de personnes, est mis à la disposition des membres du ménage. Ces installations sanitaires améliorées permettent de séparer de manière hygiénique les déchets humains. Les installations améliorées comprennent : les toilettes ou les latrines à chasse d'eau ou à contre-courant reliées à un égout, une fosse septique ou une fosse; les latrines améliorées à fosse ventilée; les latrines à fosse avec une dalle ou une plate-forme, qui couvrent entièrement la fosse; et les toilettes/latrines à compostage.\n<p>3) Surface habitable suffisante / surpeuplement &#x2013; Une unité d'habitation offre une surface habitable suffisante pour les membres du ménage si pas plus de trois personnes partagent la même pièce habitable<sup><a href=\"#footnote-8\" id=\"footnote-ref-8\">[8]</a></sup>. Des indicateurs supplémentaires de surpeuplement ont été proposés : des indicateurs tels que la surface habitable moyenne par personne ou le nombre de ménages par zone. De plus, des indicateurs au niveau de l'unité d'habitation tels que le nombre de personnes par lit ou le nombre d'enfants de moins de cinq ans par pièce peuvent également être utiles. Cependant, il a été démontré que le nombre de personnes par pièce est corrélé avec les risques sanitaires et est plus souvent recueilli par le biais d'enquêtes auprès des ménages<sup><a href=\"#footnote-9\" id=\"footnote-ref-9\">[9]</a></sup>. ONU-Habitat estime que la définition actuelle ne reflète pas adéquatement l'expérience pratique du surpeuplement et, tel qu'indiqué ci-dessous, propose une alternative.</p>\n<p><img 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\"></p>\n<p>4) Qualité structurelle/durabilité des logements &#x2013; Une maison est considérée comme &#x2018;durable&#x2019; si elle est construite sur un site non dangereux et possède une structure permanente et adéquate capable de protéger ses habitants des conditions climatiques extrêmes telles que la pluie, la chaleur, le froid et l'humidité. Les critères suivants sont utilisés pour déterminer la qualité/durabilité structurelle des logements : permanence de la structure (matériaux de construction permanents pour les murs, le toit et le sol ; conformité aux codes de la construction ; le logement n'est pas en état de délabrement ; le logement ne nécessite pas de réparations majeures) et emplacement du logement (emplacement dangereux ; le logement n'est pas situé sur ou à proximité de déchets toxiques ; le logement n'est pas situé dans une plaine inondable ; le logement n'est pas situé sur une pente raide ; le logement n'est pas situé dans une emprise dangereuse : chemin de fer, autoroute, aéroport, lignes électriques). </p>\n<p>5) Sécurité d'occupation &#x2013; La sécurité d'occupation est le droit de tous les individus et groupes à une protection efficace de l'État contre les expulsions forcées. La sécurité d'occupation est comprise comme un ensemble d'éléments relatifs au logement et à la terre, établis par le droit statutaire ou coutumier ou par des arrangements informels ou hybrides, qui permet à une personne de vivre dans un logement avec sécurité, paix et dignité (A/HRC/25/54). Quel que soit le type d'occupation, toutes les personnes bénéficiant de la sécurité d'occupation ont un statut juridique contre les expulsions illégales arbitraires, le harcèlement et autres menaces. Les personnes bénéficient de la sécurité d'occupation lorsque : il existe des preuves documentaires pouvant être utilisées comme preuves du statut de sécurité d'occupation et il existe une protection de facto ou perçue comme telle contre les expulsions forcées. D'importants progrès ont été réalisés pour intégrer la mesure de cette composante dans le calcul des personnes vivant dans les taudis.</p>\n<p><strong><em>Établissements informels</em></strong></p>\n<p>Les établissements informels sont généralement considérés comme des équivalents aux taudis, avec un accent particulier sur le statut formel des terres, de la structure et des services. Ils sont définis par trois critères principaux, selon le document Habitat III #22<sup><a href=\"#footnote-10\" id=\"footnote-ref-10\">[10]</a></sup>, qui sont déjà couverts dans la définition des taudis. Il s'agit de : </p>\n<ol>\n  <li>Les habitants n'ont aucune sécurité d'occupation vis-à-vis des terres ou des\nlogements qu'ils occupent, le tout allant du squatting au logement locatif informel ; </li> <li>Les quartiers manquent généralement de services de base formels et d'infrastructures urbaines, ou en sont coupés ; et</li>\n<li>Le logement n'est pas nécessairement conforme aux réglementations actuelles en matière de planification et de construction, est souvent situé dans des zones géographiquement et écologiquement dangereuses et n'est pas nécessairement couvert par un permis municipal.</li>\n</ol>\n<p>Les établissements informels peuvent être occupés par des résidents urbains de tous les niveaux de revenus, qu'ils soient riches ou pauvres.</p>\n<p><strong><em>Logement inadéquat</em></strong></p>\n<p>L'article 25 de la Déclaration universelle des droits de l'homme inclut le logement comme l'une des composantes du droit à un niveau de vie suffisant pour tous<sup><a href=\"#footnote-11\" id=\"footnote-ref-11\">[11]</a></sup>. Les observations générales n°4 (1991) sur le droit à un logement convenable et n°7 (1997) sur les expulsions forcées du Comité des droits économiques, sociaux et culturels des Nations unies ont souligné que le droit à un logement convenable devrait être considéré comme le droit de vivre quelque part dans la sécurité, la paix et la dignité. Pour qu'un logement soit adéquat, il doit comporter plus de quatre murs et un toit et, au minimum, répondre aux critères suivants.</p>\n<ol>\n <li>Sécurité juridique de l'occupation, car elle garantit une protection juridique\ncontre les expulsions forcées, le harcèlement et autres menaces ; </li>\n  <li> Disponibilité des services, matériaux, installations et infrastructures,\ny compris l'eau potable, des installations sanitaires adéquates, de l'énergie pour la cuisine, le chauffage, l'éclairage et le stockage des aliments et l'élimination des déchets ; </li>\n  <li>Abordabilité, car le logement n'est pas adéquat si son coût menace ou compromet\nla chance des occupants de bénéficier des autres droits de l'homme ; </li>\n  <li>Habitabilité, car un logement n'est pas adéquat s'il ne garantit pas la sécurité\nphysique ou ne fournit pas un espace adéquat, ainsi qu'une protection contre le froid, l'humidité, la chaleur, la pluie, le vent, d'autres menaces pour la santé et les risques structurels ; </li>\n  <li>Accessibilité, car le logement n'est pas adéquat si les besoins spécifiques\ndes groupes défavorisés et marginalisés ne sont pas pris en compte (tels que les pauvres, les personnes victimes de discrimination, les personnes handicapées et les victimes de catastrophes naturelles) ; </li>\n  <li>Localisation, car le logement n'est pas adéquat s'il est coupé des possibilités\nd'emploi, des services de santé, des écoles, des centres de garde d'enfants et autres installations sociales, ou s'il est situé dans des sites dangereux ou pollués ou à proximité immédiate de sources de pollution ; et</li>\n  <li>Adéquation culturelle, car un logement n'est pas adéquat s'il ne respecte\npas et ne prend pas en compte l'expression de l'identité culturelle et des modes de vie.</li> </ol>\n<table>\n  <tbody>\n    <tr>\n      <td colspan=\"4\">\n        <h2>Tableau 1. Critère définissant les taudis, les établissements informels\net le logement inadéquat</h2>\n      </td>\n    </tr>\n    <tr>\n      <td></td>\n      <td>\n        <p>Taudis</p>\n      </td>\n      <td>\n        <p>Établissements informels</p>\n      </td>\n      <td>\n        <p>Logement inadéquat</p>\n      </td>\n    </tr>\n    <tr>\n      <td>\n        <p>Accès à l'eau</p>\n      </td>\n      <td>\n        <p>X</p>\n      </td>\n      <td>\n        <p>X</p>\n      </td>\n      <td>\n        <p>X</p>\n      </td>\n    </tr>\n    <tr>\n      <td>\n        <p>Accès à des installations sanitaires</p>\n      </td>\n      <td>\n        <p>X</p>\n      </td>\n      <td>\n        <p>X</p>\n      </td>\n      <td>\n        <p>X</p>\n      </td>\n    </tr>\n    <tr>\n      <td>\n        <p>Surface habitable suffisante / surpeuplement</p>\n      </td>\n      <td>\n        <p>X</p>\n      </td>\n      <td></td>\n      <td>\n        <p>X</p>\n      </td>\n    </tr>\n    <tr>\n      <td>\n        <p>Qualité structurelle, durabilité et emplacement</p>\n      </td>\n      <td>\n        <p>X</p>\n      </td>\n      <td>\n        <p>X</p>\n      </td>\n      <td>\n        <p>X</p>\n      </td>\n    </tr>\n    <tr>\n      <td>\n        <p>Sécurité d'occupation</p>\n      </td>\n      <td>\n        <p>X</p>\n      </td>\n      <td>\n        <p>X</p>\n      </td>\n      <td>\n        <p>X</p>\n      </td>\n    </tr>\n    <tr>\n      <td>\n        <p>Abordabilité</p>\n      </td>\n      <td></td>\n      <td></td>\n      <td>\n        <p>X</p>\n      </td>\n    </tr>\n    <tr>\n      <td>\n        <p>Accessibilité</p>\n      </td>\n      <td></td>\n      <td></td>\n      <td>\n        <p>X</p>\n      </td>\n    </tr>\n    <tr>\n      <td>\n        <p>Adéquation culturelle</p>\n      </td>\n      <td></td>\n      <td></td>\n      <td>\n        <p>X</p>\n      </td>\n    </tr>\n  </tbody>\n</table><div class=\"footnotes\"><div><sup>1</sup><p> ONU-Habitat (2016). Fundaments of Urbanization. Evidence Base for Policy Making. Nairobi: UN-Habitat <a href=\"#footnote-ref-1\">&#x2191;</a></p></div><div><sup>2</sup><p> Ibid <a href=\"#footnote-ref-2\">&#x2191;</a></p></div><div><sup>3</sup><p> Banque mondiale, 2017. Africa&#x2019;s Cities: Opening Doors to the World. <a href=\"#footnote-ref-3\">&#x2191;</a></p></div><div><sup>4</sup><p> ONU-Habitat (2016). World Cities Report. ONU-Habitat (2005). Financing Shelter. <a href=\"#footnote-ref-4\">&#x2191;</a></p></div><div><sup>5</sup><p> ONU-HABITAT (2005). Financing Urban Shelter: Global Report on Human Settlements 2005. Nairobi: ONU-Habitat <a href=\"#footnote-ref-5\">&#x2191;</a></p></div><div><sup>6</sup><p> ONU-Habitat (2003), Slums of the World: The face of urban poverty in the new millennium; &lt;<a href=\"https://unhabitat.org/slums-of-the-world-the-face-of-urban-poverty-in-the-new-millennium\">https://unhabitat.org/slums-of-the-world-the-face-of-urban-poverty-in-the-new-millennium; <a href=\"#footnote-ref-6\">&#x2191;</a></p></div><div><sup>7</sup><p> Organisation des Nations unies (2007), Indicators of Sustainable Development: Guidelines and Methodologies. Third Edition, United Nations, New York; &lt;<a href=\"https://sustainabledevelopment.un.org/index.php?page=view&amp;type=400&amp;nr=107&amp;\">https://sustainabledevelopment.un.org/index.php?page=view&amp;type=400&amp;nr=107&amp;</a>&gt;; ONU-Habitat (2003), Slums of the World: The face of urban poverty in the new millennium. <a href=\"#footnote-ref-7\">&#x2191;</a></p></div><div><sup>8</sup><p> La recommandation initiale était de moins de trois à quatre personnes par pièce habitable. Lorsque cet indicateur est devenu opérationnel lors du suivi de la cible 7.D de l'OMD 7, le surpeuplement a été fixé à un maximum de trois personnes par pièce habitable (&#x2018;minimum de quatre mètres carrés,&#x2019; &lt;<a href=\"http://mdgs.un.org/unsd/mdg/Metadata.aspx\">http://mdgs.un.org/unsd/mdg/Metadata.aspx</a>&gt;). <a href=\"#footnote-ref-8\">&#x2191;</a></p></div><div><sup>9</sup><p> ONU-Habitat (1998), Crowding and Health in Low Income Settlements of Guinea Bissau, SIEP Occasional Series No.1. <a href=\"#footnote-ref-9\">&#x2191;</a></p></div><div><sup>10</sup><p> Organisation des Nations unies (2015), Conference on Housing and Sustainable Urban Development &#x2013; Habitat III, Issue Paper No. 22 on Informal Settlements; ONU-Habitat (2015), Slum Almanac 2015-2016. <a href=\"#footnote-ref-10\">&#x2191;</a></p></div><div><sup>11</sup><p> Article 25 (1) : &#x201C; Toute personne a droit à un niveau de vie suffisant pour assurer sa santé, son bien-être et ceux de sa famille, notamment pour l'alimentation, l'habillement, le logement, les soins médicaux ainsi que pour les services sociaux nécessaires ; elle a droit à la sécurité en cas de chômage, de maladie, d'invalidité, de veuvage, de vieillesse ou dans les autres cas de perte de ses moyens de subsistance par suite de circonstances indépendantes de sa volonté. &#x201D; <a href=\"#footnote-ref-11\">&#x2191;</a></p></div></div>",
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            "target": "<h1>Referencias</h1>\n<h2>Referencias bibliográficas:</h2>\n<p>Naciones Unidas (2007). Indicadores de Desarrollo Sostenible: Directrices y metodologías. Tercera edición, Naciones Unidas, Nueva York.</p>\n<p>A/HRC/25/54 (2013), Informe del Relator Especial sobre una vivienda adecuada como elemento integrante del derecho a un nivel de vida adecuado, y sobre el derecho de no discriminación a este respecto.</p>\n<p>ONU-Hábitat (2002) Directrices sobre indicadores urbanos. Nairobi.</p>\n<p>ONU-Hábitat, Base de datos de indicadores urbanos mundiales 2012 a. Nairobi.</p>\n<p>ONU-Hábitat (2002), Reunión del Grupo de Expertos sobre Indicadores Urbanos, Nairobi, Kenia, noviembre de 2002.</p>\n<p>ONU-Hábitat (2003a), Slums of the World: El rostro de la pobreza urbana en el nuevo milenio</p>\n<p>ONU-Habitat (2003b), Mejorar la vida de 100 millones de habitantes de barrios marginales &#x2013; Guía para el seguimiento del objetivo 11.</p>\n<p>ONU-Habitat (1998), Crowdlings y salud en los asentamientos de renta baja de Guinea Bissau, SIEP Occasional Series No.1.</p>\n<p>Informe mundial sobre los asentamientos humanos en los barrios de tugurios (2002).</p>\n<p>Turkstra, J. y Raithelhuber, M. (2004). Urban slum Monitoring. ESRI User Conference paper 1667.</p>\n<p>Programa de Indicadores Urbanos, Banco Mundial y ONU-Hábitat, Directrices.</p>\n<p>Hábitat para la Humanidad, Indicadores globales de vivienda.</p>\n<p>Hábitat para la Humanidad, Indicadores de vivienda para los Objetivos de Desarrollo Sostenible, 2015.</p>\n<p>Instituto Global McKinsey (2014), Un plan para abordar el desafío mundial de la vivienda asequible.</p>\n<p>Naciones Unidas (2015), Conferencia sobre Vivienda y Desarrollo Sostenible. </p>\n<p>Desarrollo urbano &#x2013; Hábitat III, Documento temático nº 22 sobre asentamientos informales.</p>\n<p>ONU-Hábitat, ONU-SIDA (2015a) Acabar con la epidemia de sida en las ciudades. Nairobi.</p>\n<p>ONU-Hábitat (2015b). Almanaque de los barrios marginales 2015-2016.</p>\n<p>ONU-Hábitat (2016). Informe sobre las ciudades del mundo 2016.</p>\n<h2>Referencias URL:</h2>\n<ol>\n  <li><a href=\"http://www.un.org/esa/sustdev/natlinfo/indicators/methodology_sheets.pdf\">http://www.un.org/esa/sustdev/natlinfo/indicators/methodology_sheets.pdf</a></li>\n  <li><a href=\"http://unhabitat.org/urban-indicators-guidelines/\">http://unhabitat.org/urban-indicators-guidelines/</a></li>\n  <li><a href=\"http://mdgs.un.org/unsd/mdg/Metadata.aspx?IndicatorId=0&amp;SeriesId=710\">http://mdgs.un.org/unsd/mdg/Metadata.aspx?IndicatorId=0&amp;SeriesId=710</a></li>\n  <li><a href=\"http://unhabitat.org/urban-initiatives/initiatives-programmes/participatory-slum-upgrading/\">http://unhabitat.org/urban-initiatives/initiatives-programmes/participatory-slum-upgrading/</a></li>\n  <li><a href=\"http://unhabitat.org/slum-almanac-2015-2016/\">http://unhabitat.org/slum-almanac-2015-2016/</a></li>\n  <li><a href=\"http://wcr.unhabitat.org/\">http://wcr.unhabitat.org/</a></li>\n  <li><a href=\"http://www.unhabitat.org/programmes/guo/documents/EGM%20final%20report%204%20Dec%2002.pdf\">http://www.unhabitat.org/programmes/guo/documents/EGM informe final 4 dic 02.pdf</a></li>\n</ol>",
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            "action": 30,
            "target": "<p><strong>Bibliographic References:</strong> </p>\n<p>&#x2022; United Nations (2007). Indicators of Sustainable Development: Guidelines and Methodologies. Third Edition, United Nations, New York </p>\n<p>&#x2022; A/HRC/25/54 (2013), Report of the Special Rapporteur on adequate housing as a component of the right to an adequate standard of living, and on the right to non-discrimination in this context </p>\n<p>&#x2022; UN-Habitat (2002) Urban Indicators Guidelines. Nairobi </p>\n<p>&#x2022; UN-Habitat, Global Urban Indicators Database 2012 a. Nairobi </p>\n<p>&#x2022; UN-Habitat (2002), Expert Group Meeting on Urban Indicators, Nairobi, Kenya, November 2002 </p>\n<p>&#x2022; UN-Habitat (2003a), Slums of the World: The face of urban poverty in the new millennium </p>\n<p>&#x2022; UN-Habitat (2003b), Improving the Lives of 100 Million Slum Dwellers &#x2013; Guide to Monitoring Target 11 </p>\n<p>&#x2022; UN-Habitat (1998), Crowding and Health in Low Income Settlements of Guinea Bissau, SIEP Occasional Series No.1 </p>\n<p>&#x2022; Global report on Human settlement on Slums (2002) </p>\n<p>&#x2022; Turkstra, J. and Raithelhuber, M. (2004). Urban slum Monitoring. ESRI User Conference paper 1667 </p>\n<p>&#x2022; Urban Indicators Programme, World Bank and UN-Habitat, Guidelines </p>\n<p>&#x2022; Habitat for Humanity, Global Housing Indicators </p>\n<p>&#x2022; Habitat for Humanity, Housing Indicators for the Sustainable Development Goals, 2015 </p>\n<p>&#x2022; McKinsey Global Institute (2014), A Blueprint for Addressing the Global Affordable Housing Challenge </p>\n<p>&#x2022; United Nations (2015), Conference on Housing and Sustainable Urban Development &#x2013; Habitat III, Issue Paper No. 22 on Informal Settlements </p>\n<p>&#x2022; UN-Habitat, UN-AIDS (2015a) Ending the Urban Aids Epidemic. Nairobi </p>\n<p>&#x2022; UN-Habitat (2015b). Slum Almanac 2015-2016 </p>\n<p>&#x2022; UN-Habitat (2016). World Cities Report 2016 </p>\n<p> </p>\n<p><strong>URL References:</strong> </p>\n<p>[1]: http://www.un.org/esa/sustdev/natlinfo/indicators/methodology_sheets.pdf, </p>\n<p>[2]: http://unhabitat.org/urban-indicators-guidelines/ </p>\n<p>[3]: http://mdgs.un.org/unsd/mdg/Metadata.aspx?IndicatorId=0&amp;SeriesId=710, </p>\n<p>[4]: http://unhabitat.org/urban-initiatives/initiatives-programmes/participatory-slum-upgrading/ </p>\n<p>[5]: http://unhabitat.org/slum-almanac-2015-2016/ </p>\n<p>[6]: http://wcr.unhabitat.org/ </p>\n<p>[7]: http://www.unhabitat.org/programmes/guo/documents/EGM final report 4 Dec 02.pdf </p>",
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            "target": "<p>As national agencies are responsible for data collection, no differences between country produced data and international estimated data on the indicator are expected to arise if standard methodologies and procedures are followed at all stages of the reporting process. Where such discrepancies exist, these will be resolved through planned technical meetings and capacity development workshops.</p>\n<p>Missing data and other local variables and frequency of data collection usually affects the figures reported at the global and national level. For this indicator, national data will be used to derive global figures. In instances where global values differ from national figures, efforts will be made for harmonization. There are many instances where lack of new data will be replaced with modelled data for the global figures. These figures will be acceptable for reporting at the national and global levels with the relevant notes attached to such figures. This is likely to be the case for countries where they have long intervals of collection of new data, or where countries face unstable situations such post-disaster or post-war years.</p>",
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            "target": "<h1>Disponibilidad de datos</h1>\n<h2>Descripción:</h2>\n<p>Los datos sobre los barrios marginales están disponibles para todos los países en vías de desarrollo, ya que ONU-Hábitat los recoge anualmente en los informes de los ODM&#x2019;. Recientemente, ONU-Hábitat ha desglosado la información sobre este indicador a nivel de ciudad, aumentando su idoneidad para el ODS 11. El indicador de personas que viven en barrios marginales&#x2019; se mide actualmente en más de 320 ciudades de todo el mundo como parte de la Iniciativa para la Prosperidad de las Ciudades de ONU-Hábitat. ONU-Hábitat y el Banco Mundial calcularon este indicador durante muchos años (1996-2006) como parte del Programa de Indicadores Urbanos. Los datos sobre vivienda inadecuada, medidos a través de la asequibilidad de la vivienda, están disponibles para todos los países de la OCDE, así como en la Muestra Global de Ciudades de la ONU, que abarca 200 ciudades. Los datos sobre viviendas inadecuadas, medidos a través de la asequibilidad de la vivienda, están disponibles en muchos países. ONU-Hábitat y el Banco Mundial calcularon este indicador durante muchos años (1996-2006) como parte del Programa de Indicadores Urbanos. Recientemente, el Grupo de Trabajo sobre Indicadores Mundiales de Vivienda, un esfuerzo de colaboración de Cities Alliance, Hábitat para la Humanidad Internacional, el Banco Interamericano de Desarrollo y ONU-Hábitat, propuso la recopilación de datos sobre este indicador en todo el mundo.</p>\n<h2>Desagregación<sup><sup><a href=\"#footnote-14\" id=\"footnote-ref-14\">[14]</a></sup></sup>:</h2>\n<p><strong><em>Desagregación potencial:</em></strong></p>\n<ul>\n  <li>Desagregación por ubicación (intraurbana)</li>\n  <li>Desagregación por grupo de ingresos</li>\n  <li>Desagregación por sexo, raza, etnia, religión, situación migratoria (jefe de hogar)</li>\n  <li>Desagregación por edad (miembros del hogar)</li>\n  <li>Desagregación por condición de discapacidad (miembros del hogar)</li>\n</ul>\n<p><strong><em>Derivados cuantificables:</em></strong></p>\n<ul>\n  <li>Proporción de hogares con vivienda duradera</li>\n  <li>Proporción de hogares con agua mejorada</li>\n  <li> Proporción de hogares con saneamiento mejorado </li>\n  <li> Proporción de hogares con espacio vital suficiente </li>\n  <li>Proporción de hogares con seguridad de tenencia</li>\n  <li>Proporción de hogares con una (1) privación de vivienda</li>\n  <li>Proporción de hogares con múltiples (2 o más) privaciones en materia de vivienda</li>\n  <li>Proporción de hogares con permiso municipal aprobado</li>\n  <li>Proporción de hogares con (en) vivienda adecuada (asequibilidad)</li>\n</ul><div class=\"footnotes\"><div><sup class=\"footnote-number\" id=\"footnote-14\">14</sup><p>El marco propuesto para la posible desagregación debería considerar que la desagregación tiene un costo. Se recomienda tener en cuenta el nivel de desarrollo y la capacidad estadística de los países. A medida que los países avanzan en sus capacidades institucionales, se puede realizar un mayor nivel de desagregación. <a href=\"#footnote-ref-14\">&#x2191;</a></p></div></div>",
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            "timestamp": "2022-02-10T22:09:05.778793+01:00",
            "action": 30,
            "target": "<p><strong>Data availability:</strong></p>\n<p>Data on slums is available for all developing countries, as it has been reported yearly by UN-Habitat in the MDGs&#x2019; reports. Recently, UN-Habitat has disaggregated information on this indicator at city level, increasing its suitability for SDG 11. The people living in slums&#x2019; indicator is currently measured in more than 320 cities across the world as part of UN-Habitat City Prosperity Initiative. UN-Habitat and World Bank computed this indicator for many years (1996-2006) as part of the Urban Indicators Programme. Data on inadequate housing, measured through housing affordability, is available for all OECED countries as well as in UN Global Sample of Cities covering 200 cities. </p>\n<p>Data on inadequate housing, measured through housing affordability, is available in many countries. UN-Habitat and World Bank computed this indicator for many years (1996-2006) as part of the Urban Indicators Programme. Recently, the Global Housing Indicators Working Group, a collaborative effort of Cities Alliance, Habitat for Humanity International, the Inter-American Development Bank, UN-Habitat proposed the collection of data on this indicator worldwide. </p>\n<p><strong>Time series: </strong></p>\n<p>Available data cover the period 1990-2018. Because the efforts and capacity of collecting and analysing survey data are different for each country, the length of the time series for each country varies greatly. </p>\n<p><strong>Disaggregation:</strong></p>\n<p><em>Potential Disaggregation:</em></p>\n<ul>\n  <li>Disaggregation by location (intra-urban)</li>\n  <li>Disaggregation by income group</li>\n  <li>Disaggregation by sex, race, ethnicity, religion, migration status (head of household)</li>\n  <li>Disaggregation by age (household members)</li>\n  <li>Disaggregation by disability status (household members)</li>\n</ul>\n<p><em>Quantifiable Derivatives:</em></p>\n<ul>\n  <li>Proportion of households with durable housing</li>\n  <li>Proportion of households with improved water</li>\n  <li>Proportion of households with improved sanitation</li>\n  <li>Proportion of households with sufficient living space</li>\n  <li>Proportion of households with security of tenure</li>\n  <li>Proportion of households with one (1) housing deprivation</li>\n  <li>Proportion of households with multiple (2 or more) housing deprivations</li>\n  <li>Proportion of households with approved municipal permit</li>\n  <li>Proportion of households with (in) adequate housing (affordability)</li>\n</ul>",
            "id": 17109159,
            "action_name": "Source string changed",
            "url": "https://hosted.weblate.org/api/changes/17109159/?format=api"
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            "action": 59,
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            "id": 17109158,
            "action_name": "String updated in the repository",
            "url": "https://hosted.weblate.org/api/changes/17109158/?format=api"
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            "id": 17109157,
            "action_name": "String updated in the repository",
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            "id": 17109156,
            "action_name": "String updated in the repository",
            "url": "https://hosted.weblate.org/api/changes/17109156/?format=api"
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            "user": null,
            "author": null,
            "timestamp": "2022-02-10T22:09:05.778610+01:00",
            "action": 59,
            "target": "",
            "id": 17109155,
            "action_name": "String updated in the repository",
            "url": "https://hosted.weblate.org/api/changes/17109155/?format=api"
        },
        {
            "unit": "https://hosted.weblate.org/api/units/29680570/?format=api",
            "component": "https://hosted.weblate.org/api/components/sdg-metadata/11-1-1/?format=api",
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            "user": null,
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            "timestamp": "2022-02-10T22:09:05.778572+01:00",
            "action": 59,
            "target": "<h2>Estimaciones regionales y globales para el seguimiento mundial:</h2>\n<p>Las estimaciones regionales y globales se derivarán de las cifras nacionales con un nivel de desagregación adecuado. Se desarrollarán herramientas especializadas y se acordarán con las partes interesadas locales e internacionales. Se desplegarán sistemas de garantía de calidad sobre el uso de las herramientas, el análisis y la presentación de informes a nivel regional y mundial para garantizar la uniformidad de las normas y la aplicación universal de las definiciones.</p>\n<p>Esperamos que las inversiones en la mejora de la recolección de datos y el seguimiento a nivel nacional produzcan incentivos para que los gobiernos mejoren la presentación de informes y el rendimiento, así como una mayor disposición a comprometerse con las múltiples partes interesadas en la recolección y el análisis de datos y en lograr una mejor comprensión de los puntos fuertes y débiles de las definiciones existentes de los barrios marginales y sus aplicaciones. </p>",
            "id": 17109154,
            "action_name": "String updated in the repository",
            "url": "https://hosted.weblate.org/api/changes/17109154/?format=api"
        },
        {
            "unit": "https://hosted.weblate.org/api/units/29680570/?format=api",
            "component": "https://hosted.weblate.org/api/components/sdg-metadata/11-1-1/?format=api",
            "translation": "https://hosted.weblate.org/api/translations/sdg-metadata/11-1-1/es/?format=api",
            "user": null,
            "author": null,
            "timestamp": "2022-02-10T22:09:05.778539+01:00",
            "action": 30,
            "target": "<p>Regional and global estimates will be derived from national figures using weighed averages. Weighting is done using urban population sizes from the World Urbanization Prospects. Global monitoring will be led by UN-Habitat with the support of other partners and regional commissions.</p>",
            "id": 17109153,
            "action_name": "Source string changed",
            "url": "https://hosted.weblate.org/api/changes/17109153/?format=api"
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        {
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            "component": "https://hosted.weblate.org/api/components/sdg-metadata/11-1-1/?format=api",
            "translation": "https://hosted.weblate.org/api/translations/sdg-metadata/11-1-1/es/?format=api",
            "user": null,
            "author": null,
            "timestamp": "2022-02-10T22:09:05.778494+01:00",
            "action": 59,
            "target": "<h2>Tratamiento de valores faltantes: </h2>\n<ul>\n  <li><strong><em>A nivel de país: </em></strong></li>\n</ul>\n<p>Se espera que todos los países informen completamente sobre este indicador de forma más consistente, con pocos desafíos en los que los valores faltantes se informarán a nivel nacional/global. A nivel nacional, es posible que se registren valores faltantes que tal vez representen lagunas de no medición entre las poblaciones cuya situación de tugurización o informalidad o vivienda inadecuada no se registra, se desconoce o no hay datos disponibles. Dado que los valores se agregarán a nivel nacional, los valores faltantes se observarán menos en estos niveles, pero es probable que afecten a las estimaciones. A nivel de la encuesta y de la recopilación de datos, se aplicarán los procedimientos de la encuesta para la gestión de los valores faltantes sobre la base de la unidad de análisis/unidades primarias de muestreo.</p>\n<ul>\n  <li><strong><em>A nivel regional y global:</em></strong></li>\n</ul>\n<p>Las estimaciones globales se ajustarán con una modelización basada en las tendencias para cubrir la información o los datos que falten.</p>",
            "id": 17109152,
            "action_name": "String updated in the repository",
            "url": "https://hosted.weblate.org/api/changes/17109152/?format=api"
        },
        {
            "unit": "https://hosted.weblate.org/api/units/29680565/?format=api",
            "component": "https://hosted.weblate.org/api/components/sdg-metadata/11-1-1/?format=api",
            "translation": "https://hosted.weblate.org/api/translations/sdg-metadata/11-1-1/es/?format=api",
            "user": null,
            "author": null,
            "timestamp": "2022-02-10T22:09:05.778460+01:00",
            "action": 30,
            "target": "<ul>\n  <li><strong>At country level</strong></li>\n</ul>\n<p>All countries are expected to fully report on this indicator more consistently with few challenges where missing values will be reported at the national/global level. At the national level, it is possible that missing values will be recorded perhaps representing gaps of non-measurements among populations whose status of slum-hood or informality or inadequate housing is not recorded, unknown or where data is unavailable. Because the values will be aggregated at the national levels, missing values will be less observed at these levels, but are likely to affect the estimates. At the survey and data collection level, survey procedures for managing missing values will be applied based on the unit of analysis/ primary sampling units.</p>\n<ul>\n  <li><strong>At regional and global levels</strong></li>\n</ul>\n<p>Global estimates will be adjusted with modelling based on trends to cater for missing information or data.</p>\n<p><em>Regional and global estimates for global monitoring</em></p>\n<p>Regional and global estimates will be derived from national figures with an appropriate disaggregation level. Specialized tools will be developed and agreed upon with local and international stakeholders. Systems of quality assurance on the use of the tools, analysis and reporting will be deployed regionally, and global to ensure that standards are uniform and that definitions are universally applied.</p>\n<p>We expect that investments in improved data collection and monitoring at country level will produce incentives for governments to improve reporting and performance and also greater readiness to engage with multiple stakeholders in data collection and analysis and in achieving better understanding of the strengths and weaknesses of existing slum definitions and their applications. </p>\n<p><em>Sources of differences between global and national figures:</em></p>\n<p>As national agencies are responsible for data collection, no differences between country produced data and international estimated data on the indicator are expected to arise if standard methodologies and procedures are followed at all stages of the reporting process. Missing data and other local variables and frequency of data collection usually affects the figures reported at the global and national level. For this indicator, national data will be used to derive global figures. In instances where global values differ from national figures, efforts will be made for harmonization.</p>",
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            "action_name": "Source string changed",
            "url": "https://hosted.weblate.org/api/changes/17109151/?format=api"
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            "id": 17109150,
            "action_name": "String updated in the repository",
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            "action": 59,
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            "id": 17109149,
            "action_name": "String updated in the repository",
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