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Overview

Project website github.com/worldbank/sdg-metadata
Instructions for translators

This project is limited to Russian translation only, for now.

More detailed instructions to come.
Project maintainers User avatar brockfanning
Translation license MIT License
Translation process
  • Translations can be made directly.
  • Translation suggestions are turned off.
  • Translations are reviewed by dedicated reviewers.
  • Any authenticated user can contribute.
  • The translation uses monolingual files.
  • The translation base language can not be edited.
Source code repository https://github.com/worldbank/sdg-metadata
Repository branch master
Last remote commit Merge pull request #542 from weblate/weblate-sdg-metadata-1-1-1a 85d59a4a6e9
User avatar brockfanning authored 4 weeks ago
Last commit in Weblate Translated using Weblate (French) fec624aacd3
User avatar deblsyl authored 2 years ago
Weblate repository https://hosted.weblate.org/git/sdg-metadata/1-1-1a/
File mask translations-metadata/*/11-1-1.yml
Monolingual base language file translations-metadata/en/11-1-1.yml
Translation file Download translations-metadata/ar/11-1-1.yml
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a week ago

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Failing checks 20% 6 3% 238 1% 1,928
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 100% 30 100% 6,331 100% 300,582
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Resource updated

  1. SDG Metadata
  2. 11-1-1
  3. Arabic
The “” file was changed. 2 years ago
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  1. SDG Metadata
  2. 11-1-1
  3. Arabic
<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>
 
2 years ago
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  1. SDG Metadata
  2. 11-1-1
  3. Arabic
<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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  1. SDG Metadata
  2. 11-1-1
  3. Arabic
<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>
 
2 years ago
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  1. SDG Metadata
  2. 11-1-1
  3. Arabic
<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>
 
2 years ago
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  1. SDG Metadata
  2. 11-1-1
  3. Arabic
<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>
 
2 years ago
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  1. SDG Metadata
  2. 11-1-1
  3. Arabic
<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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  1. SDG Metadata
  2. 11-1-1
  3. Arabic
<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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  1. SDG Metadata
  2. 11-1-1
  3. Arabic
<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>
 
2 years ago
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  1. SDG Metadata
  2. 11-1-1
  3. Arabic
<ul>
<li><strong>At country level</strong></li>
</ul>
<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>
<ul>
<li><strong>At regional and global levels</strong></li>
</ul>
<p>Global estimates will be adjusted with modelling based on trends to cater for missing information or data.</p>
<p><em>Regional and global estimates for global monitoring</em></p>
<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>
<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>
<p><em>Sources of differences between global and national figures:</em></p>
<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>
 
2 years ago
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