SDG Metadata/3-1-1 @ Hosted Weblate

Language	Approved	Translated	Unreviewed	Unfinished	Unfinished words	Unfinished characters	Untranslated	Checks	Suggestions	Comments
English MIT	0	100%	0	0	0	0	0	23	0	0

Arabic MIT	0%	0%	0	32	3,627	29,189	32	5	0	0

French MIT	0%	46%	15	17	1,404	11,581	0	13	0	0

Portuguese MIT	0%	3%	1	31	3,614	29,111	31	0	0	0

Russian MIT	0%	9%	3	29	3,591	28,953	11	19	0	0

Spanish MIT	0%	9%	3	29	3,591	28,953	11	18	0	0

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Summary

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 maintainers1	brockfanning
Project reviewers2	brockfanning Paul Kuhne
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 #553 from weblate/weblate-sdg-metadata-1-1-1a `d3a3ca3e2bb` brockfanning authored 11/20/2024
Last commit in Weblate	Merge pull request #553 from weblate/weblate-sdg-metadata-1-1-1a `d3a3ca3e2bb` brockfanning authored 11/20/2024
Weblate repository	`https://hosted.weblate.org/git/sdg-metadata/1-1-1a/`
File mask	`translations-metadata/*/3-1-1.yml`
Monolingual base language file	`translations-metadata/en/3-1-1.yml`

04/09/2026

String statistics

	Strings percent	Hosted strings	Words percent	Hosted words	Characters percent	Hosted characters
Total		192		21,762		175,134
Source		32		3,627		29,189
Approved	0%	0	0%	0	0%	0
Waiting for review	11%	22	10%	2,308	10%	18,158
Translated	28%	54	27%	5,935	27%	47,347
Needs editing	27%	53	30%	6,648	30%	53,435
Read-only	16%	32	16%	3,627	16%	29,189
Failing checks	40%	78	49%	10,745	48%	84,836
Strings with suggestions	0%	0	0%	0	0%	0
Untranslated strings	44%	85	42%	9,179	42%	74,352

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English

<p><strong>URL:</strong> <a href="https://www.who.int/publications/i/item/9789240068759">https://www.who.int/publications/i/item/9789240068759</a></p>
<p><strong>References:</strong></p>
<ol>
<li>Trends in maternal mortality 2000 to 2020: estimates by WHO, UNICEF, UNFPA, World Bank Group and UNDESA/Population Division. Geneva: World Health Organization; 2023.</li>
<li>Peterson E, Chou D, Gemmill A, Moller AB, Say L, Alkema L. Estimating maternal mortality using vital registration data: a Bayesian hierarchical bivariate random walk model to estimate sensitivity and specificity of reporting for population-periods without validation data. 2019 (<a href="https://arxiv.org/abs/1909.08578">https://arxiv.org/abs/1909.08578</a>). </li>
</ol>

Russian 0 characters editedCurrent translationState: Needs editing

<h1> Ссылки </h1>
<h2> URL: </h2>
<p> <a href="https://www.who.int/reproductivehealth/publications/maternal-mortality-2000-2017/en/"> https://www.who.int/reproductivehealth/publications/maternal-mortality-2000-2017/en/ </a> </p>
<h2> Ссылки: </h2>
<p> (1) Всемирная организация здравоохранения (ВОЗ), Детский фонд Организации Объединенных Наций (ЮНИСЕФ), Фонд Организации Объединенных Наций в области народонаселения (ЮНФПА), Группа Всемирного банка, Отдел народонаселения Организации Объединенных Наций. Тенденции материнской смертности: с 2000 по 2017 годы: оценки ВОЗ, ЮНИСЕФ, ЮНФПА, Группы Всемирного банка и Отдела народонаселения Организации Объединенных Наций. Женева: Всемирная организация здравоохранения; 2019 год </p>
<p> (2) Peterson E, Chou D, Gemmill A, Moller AB, Say L, Alkema L. Estimating maternal mortality using vital registration data: a Bayesian hierarchical bivariate random walk model to estimate sensitivity and specificity of reporting for population-periods without validation data. 2019 (<a href="https://arxiv.org/abs/1909.08578">https://arxiv.org/abs/1909.08578</a>).</p>

08/19/2023

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Source string changed

English 354 characters edited

<p><strong>URL:</strong> <a href="https://www.who.int/~~reproductivehealth/publications/maternal-mortality-2000-2017/en/">https://www.who.int/reproductivehealth/publications/maternal-mortality-2000-2017/en/~~publications/i/item/9789240068759">https://www.who.int/publications/i/item/9789240068759</a> </p>
<p><strong>References:</strong></p>
<~~p>(1) World Health Organization (WHO), United Nations Children’s Fund (UNICEF), United Nations Population Fund (UNFPA), World Bank Group, United Nations Population Division.~~ ol>
<li>Trends in maternal mortality: 2000 to 201720: estimates by WHO, UNICEF, UNFPA, World Bank Group and ~~the United Nations~~ UNDESA/Population Division. Geneva: World Health Organization; 2019 </p>
<p>(2) 23.</li>
<li>Peterson E, Chou D, Gemmill A, Moller AB, Say L, Alkema L. Estimating maternal mortality using vital registration data: a Bayesian hierarchical bivariate random walk model to estimate sensitivity and specificity of reporting for population-periods without validation data. 2019 (<a href="https://arxiv.org/abs/1909.08578">https://arxiv.org/abs/1909.08578</a>). </pli>
</ol>

08/19/2023

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