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Project website github.com/worldbank/sdg-metadata
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This project is limited to Russian translation only, for now.

More detailed instructions to come.
Project maintainers User avatar brockfanning
Translation license MIT License
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Source code repository https://github.com/worldbank/sdg-metadata
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Number of speakers 193,498,207
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Plural type One/few/many
Plurals One 1, 21, 31, 41, 51, 61, 71, 81, 91, 101, …
Few 2, 3, 4, 22, 23, 24, 32, 33, 34, 42, …
Many 0, 5, 6, 7, 8, 9, 10, 11, 12, 13, …
Plural formula n%10==1 && n%100!=11 ? 0 : n%10>=2 && n%10<=4 && (n%100<10 || n%100>=20) ? 1 : 2
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Translated 26% 8 64% 4,105 93% 282,142
Needs editing 33% 10 20% 1,269 3% 11,084
Read-only 0% 0 0% 0 0% 0
Failing checks 56% 17 85% 5,414 97% 293,749
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 40% 12 15% 957 2% 7,356
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<p><strong>Bibliographic References:</strong> </p>
<p>&#x2022; United Nations (2007). Indicators of Sustainable Development: Guidelines and Methodologies. Third Edition, United Nations, New York </p>
<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>
<p>&#x2022; UN-Habitat (2002) Urban Indicators Guidelines. Nairobi </p>
<p>&#x2022; UN-Habitat, Global Urban Indicators Database 2012 a. Nairobi </p>
<p>&#x2022; UN-Habitat (2002), Expert Group Meeting on Urban Indicators, Nairobi, Kenya, November 2002 </p>
<p>&#x2022; UN-Habitat (2003a), Slums of the World: The face of urban poverty in the new millennium </p>
<p>&#x2022; UN-Habitat (2003b), Improving the Lives of 100 Million Slum Dwellers &#x2013; Guide to Monitoring Target 11 </p>
<p>&#x2022; UN-Habitat (1998), Crowding and Health in Low Income Settlements of Guinea Bissau, SIEP Occasional Series No.1 </p>
<p>&#x2022; Global report on Human settlement on Slums (2002) </p>
<p>&#x2022; Turkstra, J. and Raithelhuber, M. (2004). Urban slum Monitoring. ESRI User Conference paper 1667 </p>
<p>&#x2022; Urban Indicators Programme, World Bank and UN-Habitat, Guidelines </p>
<p>&#x2022; Habitat for Humanity, Global Housing Indicators </p>
<p>&#x2022; Habitat for Humanity, Housing Indicators for the Sustainable Development Goals, 2015 </p>
<p>&#x2022; McKinsey Global Institute (2014), A Blueprint for Addressing the Global Affordable Housing Challenge </p>
<p>&#x2022; United Nations (2015), Conference on Housing and Sustainable Urban Development &#x2013; Habitat III, Issue Paper No. 22 on Informal Settlements </p>
<p>&#x2022; UN-Habitat, UN-AIDS (2015a) Ending the Urban Aids Epidemic. Nairobi </p>
<p>&#x2022; UN-Habitat (2015b). Slum Almanac 2015-2016 </p>
<p>&#x2022; UN-Habitat (2016). World Cities Report 2016 </p>
<p> </p>
<p><strong>URL References:</strong> </p>
<p>[1]: http://www.un.org/esa/sustdev/natlinfo/indicators/methodology_sheets.pdf, </p>
<p>[2]: http://unhabitat.org/urban-indicators-guidelines/ </p>
<p>[3]: http://mdgs.un.org/unsd/mdg/Metadata.aspx?IndicatorId=0&amp;SeriesId=710, </p>
<p>[4]: http://unhabitat.org/urban-initiatives/initiatives-programmes/participatory-slum-upgrading/ </p>
<p>[5]: http://unhabitat.org/slum-almanac-2015-2016/ </p>
<p>[6]: http://wcr.unhabitat.org/ </p>
<p>[7]: http://www.unhabitat.org/programmes/guo/documents/EGM final report 4 Dec 02.pdf </p>
<h1> Ссылки </h1>
<h2> Библиографические ссылки: </h2>
<p>United Nations (2007). Indicators of Sustainable Development: Guidelines and Methodologies. Third Edition, United Nations, New York</p>
<p>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>
<p>UN-Habitat (2002) Urban Indicators Guidelines. Nairobi</p>
<p>UN-Habitat, Global Urban Indicators Database 2012 a. Nairobi</p>
<p>UN-Habitat (2002), Expert Group Meeting on Urban Indicators, Nairobi, Kenya, November 2002</p>
<p>UN-Habitat (2003a), Slums of the World: The face of urban poverty in the new millennium</p>
<p>UN-Habitat (2003b), Improving the Lives of 100 Million Slum Dwellers &#x2013; Guide to Monitoring Target 11</p>
<p>UN-Habitat (1998), Crowding and Health in Low Income Settlements of Guinea Bissau, SIEP Occasional Series No.1</p>
<p>Global report on Human settlement on Slums (2002)</p>
<p>Turkstra, J. and Raithelhuber, M. (2004). Urban slum Monitoring. ESRI User Conference paper 1667</p>
<p>Urban Indicators Programme, World Bank and UN-Habitat, Guidelines</p>
<p>Habitat for Humanity, Global Housing Indicators</p>
<p>Habitat for Humanity, Housing Indicators for the Sustainable Development Goals, 2015</p>
<p>McKinsey Global Institute (2014), A Blueprint for Addressing the Global Affordable Housing Challenge</p>
<p>United Nations (2015), Conference on Housing and Sustainable </p>
<p>Urban Development &#x2013; Habitat III, Issue Paper No. 22 on Informal Settlements</p>
<p>UN-Habitat, UN-AIDS (2015a) Ending the Urban Aids Epidemic. Nairobi</p>
<p>UN-Habitat (2015b). Slum Almanac 2015-2016</p>
<p>UN-Habitat (2016). World Cities Report 2016</p>
<h2>URL ссылки:</h2>
<ol>
<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>
<li><a href="http://unhabitat.org/urban-indicators-guidelines/">http://unhabitat.org/urban-indicators-guidelines/</a></li>
<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>
<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>
<li><a href="http://unhabitat.org/slum-almanac-2015-2016/">http://unhabitat.org/slum-almanac-2015-2016/</a></li>
<li><a href="http://wcr.unhabitat.org/">http://wcr.unhabitat.org/</a></li>
<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 final report 4 Dec 02.pdf</a></li>
</ol>
2 years ago
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<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>
<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>
<h2> Источники расхождений: </h2>
<p> Поскольку ответственность за сбор данных несут национальные учреждения, ожидается, что при соблюдении стандартных методологий и процедур на всех этапах процесса отчетности не возникнет никаких разногласий между данными, полученными от страны, и оценочными данными по этому показателю, полученными на международном уровне. Отсутствие данных и других локальных переменных и частота сбора данных обычно влияют на отчетные данные на глобальном и национальном уровнях. Для этого показателя национальные данные будут использоваться для получения глобальных оценок. В случаях, когда глобальные значения отличаются от национальных данных, будут предприняты усилия по их согласованию</p>
2 years ago
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<h2>Sources of differences between global and national figures:</h2>
<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>
<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>
2 years ago
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<p><strong>Data availability:</strong></p>
<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>
<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>
<p><strong>Time series: </strong></p>
<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>
<p><strong>Disaggregation:</strong></p>
<p><em>Potential Disaggregation:</em></p>
<ul>
<li>Disaggregation by location (intra-urban)</li>
<li>Disaggregation by income group</li>
<li>Disaggregation by sex, race, ethnicity, religion, migration status (head of household)</li>
<li>Disaggregation by age (household members)</li>
<li>Disaggregation by disability status (household members)</li>
</ul>
<p><em>Quantifiable Derivatives:</em></p>
<ul>
<li>Proportion of households with durable housing</li>
<li>Proportion of households with improved water</li>
<li>Proportion of households with improved sanitation</li>
<li>Proportion of households with sufficient living space</li>
<li>Proportion of households with security of tenure</li>
<li>Proportion of households with one (1) housing deprivation</li>
<li>Proportion of households with multiple (2 or more) housing deprivations</li>
<li>Proportion of households with approved municipal permit</li>
<li>Proportion of households with (in) adequate housing (affordability)</li>
</ul>
<h1> Доступность данных </h1>
<h2> Описание: </h2>
<p> Данные по трущобам имеются по всем развивающимся странам, поскольку они ежегодно представляются Программой Организации Объединенных Наций по населенным пунктам (ООН-Хабитат) в доклады по ЦРТ. Недавно ООН-Хабитат дезагрегировал информацию об этом показателе до уровня городов, что повысило его пригодность для ЦУР 11. Показатель количества людей, живущих в трущобах, в настоящее время разрабатывается в более чем 320 городах мира в рамках Инициативы ООН-Хабитат по процветанию городов. ООН-Хабитат и Всемирный банк рассчитывали этот показатель на протяжении многих лет (1996–2006 годы) в рамках Программы городских показателей. Данные о недостаточном жилье, оцененные по доступности жилья с точки зрения расходов, имеются в наличии для всех стран ОЭСР, а также в Глобальной выборке городов, поддерживаемой ООН и охватывающей 200 городов. Данные о недостаточном жилье, оцененные по доступности жилья с точки зрения расходов, имеются во многих странах. Недавно Рабочая группа по глобальным показателям жилищного строительства в сотрудничестве с Альянсом городов, Средой для человечества Хабитат, Межамериканским банком развития, ООН-Хабитат предложили собирать данные по этому показателю во всем мире.</p>
<h2>Дезагрегирование</h2><sup><a href="#footnote-14" id="footnote-ref-14">[14]</a></sup></sup>:
<p> <strong> <em> Потенциальное дезагрегирование: </em> </strong> </p>
<ul>
<li> Дезагрегирование по месторасположению (внутри города) </li>
<li> Дезагрегирование по группам доходов </li>
<li> Дезагрегирование по полу, расе, этнической принадлежности, религии, миграционному статусу (глава домохозяйства) </li>
<li> Дезагрегирование по возрасту (члены домохозяйства) </li>
<li> Дезагрегирование по статусу нетрудоспособности (члены домохозяйства) </li>
</ul>
<p> <strong> <em> Количественные производные:</em> </strong> </p>
<ul>
<li> Доля домохозяйств с износостойким (прочным) жильем </li>
<li> Доля домохозяйств с улучшенным водоснабжением </li>
<li> Доля домохозяйств с улучшенными санитарно-гигиеническими средствами </li>
<li> Доля домохозяйств с достаточной площадью проживания </li>
<li> Доля домохозяйств с гарантиями правового обеспечения проживания </li>
<li> Доля домохозяйств с одним (1) недостатком в жилище </li>
<li> Доля домохозяйств с множеством (2 или более) недостатков в жилище </li>
<li> Доля домохозяйств с утвержденным муниципальным разрешением </li>
<li> Доля домохозяйств, имеющих (не) достаточное жилье (доступность с точки зрения расходов на жилье) </li>
</ul><div class="footnotes"><div><sup class="footnote-number" id="footnote-14">14</sup><p> Предлагаемая структура для потенциального дезагрегирования должна учитывать, что дезагрегирование связано с определенными затратами. Рекомендуется учитывать уровень развития и статистический потенциал стран. По мере развития институционального потенциала стран дезагрегирование может осуществляться на следующем уровне. <a href="#footnote-ref-14">&#x2191;</a></p></div></div>
2 years ago
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<p>Once data is received from member states, UN-Habitat uses a checklist specific to each indicator to assess a) whether the data production process followed the metadata provisions, and b) confirm the accuracy of the data sources used for the indicator computation. Both components are captured in the reporting template shared with National Statistical Offices, which helps to assess whether computation was done using the proposed indicator inputs or proxies. The reporting template also requests for information that helps understand whether national data for the indicator was produced from the appropriate data sources. In addition, the received data is also checked for other qualities such as data disaggregation, reporting period and consistency with other previously reported trends, which ensures reliable regional estimates. </p>
 
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<p>UN-Habitat maintains the global urban indicators database that is used for monitoring of the urban metrics drawn from SDGs, NUA, flagship reports (e.g. World Cities Report) and other official reporting. In general, for all new data, a thorough review is done to check for consistency and overall data quality by technical staff in the Data and Analytics unit before publication in the urban indicators database. This ensures that only the most accurate and reliable information are included in the database. Key elements considered in the review include: proper documentation of data sources; representativeness of data at national level, use of appropriate methodology for data collection and analysis (e.g. appropriate sampling process, values based on valid sample sizes), use of appropriate concepts and definitions, consistency of data trends with previously published/reported estimates for the indicator.</p>
 
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<p>To ensure consistency in data production across countries, UN-Habitat has developed detailed step-by-step tutorials on the computation of indicator 11.1.1, which further explain the steps presented in this metadata. The detailed tutorials, which will be continuously updated are available at <a href="https://unhabitat.org/knowledge/data-and-analytics">https://unhabitat.org/knowledge/data-and-analytics</a>, <a href="https://www.urbanagendaplatform.org/learning">https://www.urbanagendaplatform.org/learning</a>, and <a href="https://data.unhabitat.org/">https://data.unhabitat.org/</a>. Within its Data and Analytics Section which is responsible for the indicator data compilation, UN-Habitat has a team of data experts who check all submitted data and provide direct support to countries in the indicator computation. </p>
 
2 years ago
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<p>UN-Habitat has developed a step-by-step data compilation and computation methodological document, which is applicable at national level. The document is available here: <a href="https://unhabitat.org/sites/default/files/2020/06/indicator_11.1.1_training_module_adequate_housing_and_slum_upgrading.pdf">https://unhabitat.org/sites/default/files/2020/06/indicator_11.1.1_training_module_adequate_housing_and_slum_upgrading.pdf</a>. The agency also provides on-the-task training to countries on a need basis, as well as continuous technical support throughout the data compilation process to ensure alignment of national processes with the globally adopted methodology. </p>
<p>In addition, UN-Habitat has developed audio-visual content for indicator 11.1.1 that is available through its E-Learning Portal, offering more interactive learning for data producers at different levels. The content includes self-paced e-learning courses which present descriptive and practical step-by-step guidance on how to compute each indicator. These courses are aimed at strengthening national capacities in collecting, analyzing, and monitoring the urban SDG indicators. They are also designed to be attractive to different groups, from data producers to people just interested in understanding the indicators and their interpretation. This was intended to broaden the pool of experts on urban monitoring and increase the uptake and use of the tools within countries.</p>
 
2 years ago
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<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>
<h2>Региональные и глобальные оценки для глобального мониторинга: </h2>
<p> Региональные и глобальные оценки будут основаны на национальных данных с соответствующим уровнем дезагрегирования. Специализированные инструменты будут разработаны и согласованы с местными и международными заинтересованными сторонами. Системы обеспечения качества при использовании инструментов, анализа и отчетности будут развернуты как на региональном, так и на глобальном уровне, чтобы гарантировать единообразие стандартов и универсальное применение определений.</p>
<p> Мы ожидаем, что инвестиции в совершенствование процедур сбора данных и мониторинга на страновом уровне создадут для правительств стимулы к совершенствованию отчетности и повышению эффективности работы, а также к большей готовности взаимодействовать с многочисленными заинтересованными сторонами в части сбора и анализа данных и к достижению лучшего понимания сильных и слабых сторон существующих определений трущоб и их практическому применению. </p>
2 years ago
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