SDG Metadata/6-4-1 — English @ Hosted Weblate

32	Strings		100%	Browse Translate
3,686	Words		100%

32	All strings — 3,686 words	Browse Translate Zen
32	Read-only strings — 3,686 words	Browse Translate Zen
25	Strings with any failing checks — 3,283 words	Browse Translate Zen
6	Failing check: Inconsistent — 374 words	Browse Translate Zen
25	Failing check: Multiple failing checks — 3,283 words	Browse Translate Zen

Component	Unfinished	Unfinished words	Unfinished characters	Untranslated	Checks	Suggestions	Comments
1-1-1a MIT	0	0	0	0	17	0	0

14-2-1 MIT	0	0	0	0	0	0	0

6-3-2 MIT	0	0	0	0	1	0	0

10-5-1 MIT	0	0	0	0	25	0	0

6-6-1a MIT	0	0	0	0	23	0	0

15-b-1 MIT	0	0	0	0	21	0	0

16-2-3 MIT	0	0	0	0	0	0	0

14-5-1 MIT	0	0	0	0	26	0	0

3-c-1 MIT	0	0	0	0	21	0	0

4-1-2 MIT	0	0	0	0	25	0	0

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	brockfanning
Translation license	MIT License
Translation process	Translations can be made directly. Translation suggestions are turned off. 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 #541 from weblate/weblate-sdg-metadata-1-1-1a `2bbcb9a225a` brockfanning authored 3 months ago
Last commit in Weblate	Translated using Weblate (French) `2b924fe287f` deblsyl authored a year ago
Weblate repository	`https://hosted.weblate.org/git/sdg-metadata/1-1-1a/`
File mask	`translations-metadata/*/6-4-1.yml`
Monolingual base language file	`translations-metadata/en/6-4-1.yml`
Translation file	Download `translations-metadata/en/6-4-1.yml`
Last change	None
Last author	None

	Strings percent	Hosted strings	Words percent	Hosted words	Characters percent	Hosted characters
Total		32		3,686		49,316
Translated	100%	32	100%	3,686	100%	49,316
Needs editing	0%	0	0%	0	0%	0
Read-only	100%	32	100%	3,686	100%	49,316
Failing checks	78%	25	89%	3,283	94%	46,387
Strings with suggestions	0%	0	0%	0	0%	0
Untranslated strings	0%	0	0%	0	0%	0

None Resource update SDG Metadata / 6-4-1 — English	The "`translations-metadata/en/6-4-1.yml`" file was changed. a year ago
None String updated in the repository SDG Metadata / 6-4-1 — English	English <ul> <li>AQUASTAT main page: <a href="http://www.fao.org/aquastat/en/">http://www.fao.org/aquastat/en/</a> </li> <li>AQUASTAT glossary: <a href="http://www.fao.org/aquastat/en/databases/glossary/">http://www.fao.org/aquastat/en/databases/glossary/</a> </li> <li>AQUASTAT Main country database: <a href="http://www.fao.org/aquastat/statistics/query/index.html">http://www.fao.org/aquastat/statistics/query/index.html</a> </li> <li>AQUASTAT Water use: <a href="http://www.fao.org/aquastat/en/overview/methodology/water-use/">http://www.fao.org/aquastat/en/overview/methodology/water-use/</a> </li> <li>AQUASTAT Water resources: <a href="http://www.fao.org/aquastat/en/overview/methodology/water-resources/">http://www.fao.org/aquastat/en/overview/methodology/water-resources/</a> </li> <li>AQUASTAT publications dealing with concepts, methodologies, definitions, terminologies, metadata, etc.: <a href="http://www.fao.org/aquastat/en/resources/">http://www.fao.org/aquastat/en/resources/</a> </li> <li>AQUASTAT methodology - quality Control: <a href="https://www.fao.org/aquastat/en/overview/methodology#main">https://www.fao.org/aquastat/en/overview/methodology#main</a></li> <li>AQUASTAT metadata <a href="http://www.fao.org/aquastat/en/databases/maindatabase/metadata/">http://www.fao.org/aquastat/en/databases/maindatabase/metadata/</a> </li> <li>AQUASTAT Statistical working system (SWS). Migration of the Statistical Processes into the SWS. <a href="https://sws-methodology.github.io/faoswsAquastat/index.html#welcome">https://sws-methodology.github.io/faoswsAquastat/index.html#welcome</a> </li> <li>FAOSTAT production database: <a href="http://faostat3.fao.org/download/Q//E">http://faostat3.fao.org/download/Q//E</a> </li> <li>UNSD/UNEP Questionnaire on Environment Statistics – Water Section</li> </ul> <p><a href="http://unstats.un.org/unsd/environment/questionnaire.htm">http://unstats.un.org/unsd/environment/questionnaire.htm</a></p> <p><a href="http://unstats.un.org/unsd/environment/qindicators.htm">http://unstats.un.org/unsd/environment/qindicators.htm</a><u> </u></p> <ul> <li>Framework for the Development of Environment Statistics (FDES 2013) (Chapter 3): <a href="http://unstats.un.org/unsd/environment/FDES/FDES-2015-supporting-tools/FDES.pdf">http://unstats.un.org/unsd/environment/FDES/FDES-2015-supporting-tools/FDES.pdf</a></li> <li>International Recommendations for Water Statistics (IRWS) (2012): <a href="https://unstats.un.org/unsd/publication/seriesM/seriesm_91e.pdf">https://unstats.un.org/unsd/publication/seriesM/seriesm_91e.pdf</a></li> <li>OECD/Eurostat Questionnaire on Environment Statistics – Water Section: <a href="http://ec.europa.eu/eurostat/web/environment/water">http://ec.europa.eu/eurostat/web/environment/water</a></li> <li>OECD National Accounts data files: <a href="http://www.oecd-ilibrary.org/economics/data/oecd-national-accounts-statistics_na-data-en">http://www.oecd-ilibrary.org/economics/data/oecd-national-accounts-statistics_na-data-en</a></li> <li>SEEA-Water: <a href="https://seea.un.org/sites/seea.un.org/files/seeawaterwebversion_final_en.pdf">https://seea.un.org/sites/seea.un.org/files/seeawaterwebversion_final_en.pdf</a></li> <li>SEEA Central Framework: <a href="https://seea.un.org/sites/seea.un.org/files/seea_cf_final_en.pdf">https://seea.un.org/sites/seea.un.org/files/seea_cf_final_en.pdf</a> </li> <li>UNSD National Accounts Main Aggregates Database: <a href="http://unstats.un.org/unsd/snaama/selbasicFast.asp">http://unstats.un.org/unsd/snaama/selbasicFast.asp</a></li> <li>World Bank Databank (World Economic Indicators) <a href="http://databank.worldbank.org/data/home.aspx">http://databank.worldbank.org/data/home.aspx</a></li> <li>ISIC rev. 4: </li> </ul> <p> <a href="https://unstats.un.org/unsd/classifications/Econ/Download/In%20Text/CPCprov_english.pdf">https://unstats.un.org/unsd/classifications/Econ/Download/In%20Text/CPCprov_english.pdf</a></p> <ul> <li>FAO e-learning course SDG Indicator 6.4.1 - Change in water-use efficiency over time: <a href="https://elearning.fao.org/course/view.php?id=475">https://elearning.fao.org/course/view.php?id=475</a> </li> </ul> English 797 characters edited Current translation Read only <ul> <li>AQUASTAT main page: <a href="http://www.fao.org/aquastat/en/">http://www.fao.org/aquastat/en/</a> </li> <li>AQUASTAT glossary: <a href="http://www.fao.org/aquastat/en/databases/glossary/ ">http://www.fao.org/aquastat/en/databases/glossary/</a> </li> <li>AQUASTAT Main country database: <a href="http://www.fao.org/aquastat/statistics/query/index.html">http://www.fao.org/aquastat/statistics/query/index.html</a> </li> <li>AQUASTAT Water use: <a href="http://www.fao.org/aquastat/en/overview/methodology/water-use/">http://www.fao.org/aquastat/en/overview/methodology/water-use/</a> </li> <li>AQUASTAT Water resources: <a href="http://www.fao.org/aquastat/en/overview/methodology/water-resources/">http://www.fao.org/aquastat/en/overview/methodology/water-resources/</a> </li> <li>AQUASTAT publications dealing with concepts, methodologies, definitions, terminologies, metadata, etc.: <a href="http://www.fao.org/aquastat/en/resources/">http://www.fao.org/aquastat/en/resources/</a> </li> <li>AQUASTAT methodology - quality Control: <a href="https://www.fao.org/~~nr/water/aquastat/sets/index.stm~~aquastat/en/overview/methodology#main">https://www.fao.org/~~nr/water/aquastat/sets/index.stm#main</a>~~aquastat/en/overview/methodology#main</a></li> <li>AQUASTAT metadata <a href="http://www.fao.org/~~nr/water/~~aquastat/en/databasets/maindex.stm#main</li> <li>AQUASTAT atabase/metadata /">http://www.fao.org/aquastat/en/databases/maindatabase/metadata/</a> </li> <li>AQUASTAT Statistical working system (SWS). Migration of the Statistical Processes into the SWS. <a href="https://sws-methodology.github.io/faoswsAquastat/index.html#welcome">https://sws-methodology.github.io/faoswsAquastat/index.html#welcome</a> </li> <li>FAOSTAT production database: <a href="http://faostat3.fao.org/download/Q//E">http://faostat3.fao.org/download/Q//E</a> </li> <li>UNSD/UNEP Questionnaire on Environment Statistics – Water Section</li> </ul> <p><a href="http://unstats.un.org/unsd/environment/questionnaire.htm">http://unstats.un.org/unsd/environment/questionnaire.htm</a></p> <p><a href="http://unstats.un.org/unsd/environment/qindicators.htm">http://unstats.un.org/unsd/environment/qindicators.htm</a><u> </u></p> <ul> <li>Framework for the Development of Environment Statistics (FDES 2013) (Chapter 3): <a href="http://unstats.un.org/unsd/environment/FDES/FDES-2015-supporting-tools/FDES.pdf">http://unstats.un.org/unsd/environment/FDES/FDES-2015-supporting-tools/FDES.pdf</a></li> <li>International Recommendations for Water Statistics (IRWS) (2012): <a href="https://unstats.un.org/unsd/~~envaccounting/irws/~~publication/seriesM/seriesm_91e.pdf">https://unstats.un.org/unsd/~~envaccounting/irws/~~publication/seriesM/seriesm_91e.pdf</a></li> <li>OECD/Eurostat Questionnaire on Environment Statistics – Water Section: <a href="http://ec.europa.eu/eurostat/web/environment/water">http://ec.europa.eu/eurostat/web/environment/water</a></li> <li>OECD National Accounts data files: <a href="http://www.oecd-ilibrary.org/economics/data/oecd-national-accounts-statistics_na-data-en">http://www.oecd-ilibrary.org/economics/data/oecd-national-accounts-statistics_na-data-en</a></li> <li>SEEA-Water: <a href="https://seea.un.org/sites/seea.un.org/files/seeawaterwebversion_final_en.pdf">https://seea.un.org/sites/seea.un.org/files/seeawaterwebversion_final_en.pdf</a></li> <li>SEEA Central Framework: <a href="https://seea.un.org/sites/seea.un.org/files/seea_cf_final_en.pdf">https://seea.un.org/sites/seea.un.org/files/seea_cf_final_en.pdf</a> </li> <li>UNSD National Accounts Main Aggregates Database: <a href="http://unstats.un.org/unsd/snaama/selbasicFast.asp">http://unstats.un.org/unsd/snaama/selbasicFast.asp</a></li> <li>World Bank Databank (World Economic Indicators) <a href="http://databank.worldbank.org/data/home.aspx">http://databank.worldbank.org/data/home.aspx</a></li> <li>ISIC rev. 4: </li> </ul> <p> <a href="https://unstats.un.org/unsd/c~~r/registry/regcst.asp?Cl=27">https://unstats.un.org/unsd/cr/registry/regcst.asp?Cl=27</a></li~~lassifications/Econ/Download/In%20Text/CPCprov_english.pdf">https://unstats.un.org/unsd/classifications/Econ/Download/In%20Text/CPCprov_english.pdf</a></p> <ul> <li>FAO e-learning course SDG Indicator 6.4.1 - Change in water-use efficiency over time: <a href="https://elearning.fao.org/course/view.php?id=475">https://elearning.fao.org/course/view.php?id=475</a> </li> </ul> a year ago
None String updated in the repository SDG Metadata / 6-4-1 — English	English <p>Geographical: Regional differences, especially in relation to irrigated agriculture and different climatic conditions (including variability) are to be considered in the interpretation of this indicator, especially in countries with substantial amounts of available water resources. Also for this reason, coupling this indicator with water stress (6.4.2) is important for the interpretation of the data.</p> <p>Over-time: time series are comparable across time. </p> English 10 characters edited Current translation Read only <p>Geographical: Regional differences, ~~in particular~~especially in relation to irrigated agriculture and different climatic conditions (including variability) are to be considered in the interpretation of this indicator, especially in countries with substantial amounts of available water resources. Also for this reason, coupling this indicator with water stress (6.4.2) is important for the interpretation of the data.</p> <p>Over-time: time series are comparable across time. </p> a year ago
None String updated in the repository SDG Metadata / 6-4-1 — English	English <p><strong>Data availability:</strong></p> <p>The data needed for the indicator are collected through AQUASTAT and other databases (FAOSTAT, UNSD) for 168 countries worldwide</p> <p><strong>Time series:</strong></p> <p>1961-2019 (Discontinuous depending on the country. Data are interpolated to create timelines). </p> <p><strong>Disaggregation:</strong></p> <p>The indicator covers all the economic sectors according to the ISIC classification, providing the means for more detailed analysis of the water use efficiency for national planning and decision-making. </p> <p>Although the subdivision into three major aggregated economic sectors is sufficient for the purpose of compiling the indicator, wherever possible it is advisable to further disaggregate the indicator, according to the following criteria:</p> <ul> <li>Economically, a more refined subdivision of the economic sector can be done using ISIC Rev.4 by the following groups:<ul> <li>Agriculture, Forestry and Fisheries (ISIC A); </li> <li>Mining and Quarrying (ISIC B); </li> <li>Manufacturing (ISIC C);</li> <li>Electricity, Gas, Steam and Air Conditioning Supply (ISIC D); </li> <li>Water Supply, Sewerage, Waste Management and Remediation Activities (ISIC E), by</li> <li>Water Collection, Treatment and Supply (ISIC 36) <ul> <li>Sewerage (ISIC 37)</li> <li>Construction (ISIC F)</li> </ul> </li> <li>Other industries (sum of remaining industries)</li> </ul> </li> <li>Geographically, computing the indicator by river basin, watershed or administrative units within a country.</li> </ul> <p>These levels of disaggregation, or a combination of those, will give further insight on the dynamics of water use efficiency, providing information for remedial policies and actions.</p> <p>Data are vertically interpolated in the presence of missing values to allow for a time series analysis.</p> English 4076 characters edited Current translation Read only <p><strong>Data availability:</strong></p> <p> The data needed for the indicator are collected through AQUASTAT and other databases (FAOSTAT, UNSD) for 168 countries worldwide. In the 2020 round, XX countries reported data upon which the indicator was calculated. The indicator values for the rest of the countries are calculated based on vertical imputations using carry-forward option as described in section 4.f.</p> <p>Breakdown of the number of countries covered by region is as follows:</p> <table> <tbody> <tr> <td> <p>World</p> </td> <td> <p>168</p> </td> <td></td> </tr> <tr> <td> <p>Africa</p> </td> <td> <p>51</p> </td> <td></td> </tr> <tr> <td> <p>Northern Africa</p> </td> <td> <p>6</p> </td> <td></td> </tr> <tr> <td> <p>Sub-Saharan Africa</p> </td> <td> <p>45</p> </td> <td></td> </tr> <tr> <td> <p>Eastern Africa</p> </td> <td> <p>16</p> </td> <td></td> </tr> <tr> <td> <p>Middle Africa</p> </td> <td> <p>8</p> </td> <td></td> </tr> <tr> <td> <p>Southern Africa</p> </td> <td> <p>5</p> </td> <td></td> </tr> <tr> <td> <p>Western Africa</p> </td> <td> <p>16</p> </td> <td></td> </tr> <tr> <td> <p>Americas</p> </td> <td> <p>30</p> </td> <td></td> </tr> <tr> <td> <p>Latin America and the Caribbean</p> </td> <td> <p>28</p> </td> <td></td> </tr> <tr> <td> <p>Caribbean</p> </td> <td> <p>8</p> </td> <td></td> </tr> <tr> <td> <p>Latin America</p> </td> <td> <p>20</p> </td> <td></td> </tr> <tr> <td> <p>Northern America</p> </td> <td> <p>2</p> </td> <td></td> </tr> <tr> <td> <p>Asia</p> </td> <td> <p>46</p> </td> <td></td> </tr> <tr> <td> <p>Central Asia</p> </td> <td> <p>5</p> </td> <td></td> </tr> <tr> <td> <p>Eastern Asia</p> </td> <td> <p>5</p> </td> <td></td> </tr> <tr> <td> <p>Southern Asia</p> </td> <td> <p>8</p> </td> <td></td> </tr> <tr> <td> <p>South-Eastern Asia</p> </td> <td> <p>10</p> </td> <td></td> </tr> <tr> <td> <p>Western Asia</p> </td> <td> <p>18</p> </td> <td></td> </tr> <tr> <td> <p>Europe</p> </td> <td> <p>37</p> </td> <td></td> </tr> <tr> <td> <p>Eastern Europe</p> </td> <td> <p>10</p> </td> <td></td> </tr> <tr> <td> <p>Northern Europe</p> </td> <td> <p>10</p> </td> <td></td> </tr> <tr> <td> <p>Southern Europe</p> </td> <td> <p>10</p> </td> <td></td> </tr> <tr> <td> <p>Western Europe</p> </td> <td> <p>7</p> </td> <td></td> </tr> <tr> <td> <p>Oceania</p> </td> <td> <p>4</p> </td> <td></td> </tr> <tr> <td> <p>Australia and New Zealand</p> </td> <td> <p>2</p> </td> <td></td> </tr> <tr> <td> <p>Melanesia</p> </td> <td> <p>2</p> </td> <td></td> </tr> <tr> <td> <p>Micronesia</p> </td> <td> <p>0</p> </td> <td></td> </tr> <tr> <td> <p>Polynesia</p> </td> <td> <p>0</p> </td> <td></td> </tr> </tbody> </table> <p><strong>Time series:</strong></p> <p>1961-2018 (Discontinuous depending on the country. Data are interpolated to create timelinesThe data needed for the indicator are collected through AQUASTAT and other databases (FAOSTAT, UNSD) for 168 countries worldwide</p> <p><strong>Time series:</strong></p> <p>1961-2019 (Discontinuous depending on the country. Data are interpolated to create timelines). </p> <p><strong>Disaggregation:</strong></p> <p>The indicator covers all the economic sectors according to the ISIC classification, providing the means for more detailed analysis of the water use efficiency for national planning and decision-making. </p> <p>Although the subdivision into three major aggregated economic sectors ~~as defined in chapter 3~~ is sufficient for the purpose of compiling the indicator, wherever possible it is advisable to further disaggregate the indicator, according to the following criteria:</p> <ul> <li>Economically, a more refined subdivision of the economic sector can be done using ISIC Rev.4 by the following groups:<ul> <li>Agriculture, Forestry and Fisheries (ISIC A); </li> <li>Mining and Quarrying (ISIC B); </li> <li>Manufacturing (ISIC C);</li> <li>Electricity, Gas, Steam and Air Conditioning Supply (ISIC D); </li> <li>Water Supply, Sewerage, Waste Management and Remediation Activities (ISIC E), by</li> <li>Water Collection, Treatment and Supply (ISIC 36) <ul> <li>Sewerage (ISIC 37)</li> <li>Construction (ISIC F)</li> </ul> </li> <li>Other industries (sum of remaining industries)</li> </ul> </li> <li>Geographically, computing the indicator by river basin, watershed or administrative units within a country.</li> </ul> <p>These levels of disaggregation, or a combination of those, will give further insight on the dynamics of water use efficiency, providing information for remedial policies and actions.</p> <p>Data are vertically interpolated in the presence of missing values to allow for a time series analysis.</p> a year ago
None String updated in the repository SDG Metadata / 6-4-1 — English	English <p>FAO is responsible for the quality of the internal statistical processes used to compile the published datasets. The FAO Statistics Quality Assurance Framework (SQAF), available at: <a href="http://www.fao.org/docrep/019/i3664e/i3664e.pdf">http://www.fao.org/docrep/019/i3664e/i3664e.pdf</a> provides the necessary principles, guidelines, and tools to carry out quality assessments. FAO is performing an internal bi-annual survey (FAO Quality Assessment and Planning Survey) designed to gather information on all of FAO’s statistical activities, notably to assess the extent to which quality standards are being implemented with a view to increasing compliance with the quality dimensions of SQAF, documenting best practices and prepare quality improvement plans, where necessary. Domain-specific quality assurance activities are carried out systematically (e.g. quality reviews, self-assessments, compliance monitoring).</p> English 63 characters edited Current translation Read only <p>FAO is responsible for the quality of the internal statistical processes used to compile the published datasets. The FAO Statistics Quality Assurance Framework (SQAF), available at: <a href="http://www.fao.org/docrep/019/i3664e/i3664e.pdf,">http://www.fao.org/docrep/019/i3664e/i3664e.pdf</a> provides the necessary principles, guidelines, and tools to carry out quality assessments. FAO is performing an internal bi-annual survey (FAO Quality Assessment and Planning Survey) designed to gather information on all of FAO’s statistical activities, notably to assess the extent to which quality standards are being implemented with a view to increasing compliance with the quality dimensions of SQAF, documenting best practices and prepare quality improvement plans, where necessary. Domain-specific quality assurance activities are carried out systematically (e.g. quality reviews, self-assessments, compliance monitoring).</p> a year ago
None String updated in the repository SDG Metadata / 6-4-1 — English	English <ul> <li>A set of tools is available to countries for the compilation of the indicator. Among them, a step-by-step methodological guide, an interpretation paper, and an e-learning course. All the tools are available on the FAO web pages, at: <a href="http://www.fao.org/sustainable-development-goals/indicators/641/en/">http://www.fao.org/sustainable-development-goals/indicators/641/en/</a></li> <li>During 2020 and 2021, FAO has organized four virtual trainings for Asia, Latin-America and the Caribbean and Africa on SDG 6.4. </li> <li>FAO’s AQUASTAT team provides continued guidance to the countries through the National Correspondents during the data collection time to ensure data is duly and timely compiled.</li> </ul> English 3 characters edited Current translation Read only <ul> <li>A set of tools is available to countries for the compilation of the indicator. Among them, a step-by-step methodological guide, an interpretation paper, and an e-learning course. All the tools are available on the FAO web pages, at: <a href="http://www.fao.org/sustainable-development-goals/indicators/641/en/">http://www.fao.org/sustainable-development-goals/indicators/641/en/</a></li> <li>During 2020 and 2021, FAO has organized four virtual trainings for Asia, Latin-America and the Caribbean and Africa on SDG 6.4. </li> <li>FAO’s AQUASTAT team provides continued guidance to the countries throught the National Correspondents during the data collection time to ensure data is duly and timely compiled.</li> </ul> a year ago
None String updated in the repository SDG Metadata / 6-4-1 — English	English <p>Data validation is done in a number of steps. </p> <ul> <li>The AQUASTAT questionnaire embeds automatic validation rules to allow National Correspondents to identify any data consistency errors while compiling the data. </li> <li>Once the questionnaire is submitted, FAO thoroughly reviews the information reported, using the following tools:<ul> <li>Manual cross-variable check. This includes cross-comparison with similar countries as well as historic data for the countries. </li> <li>Time-series coherency by running an R-script to compare reported data with those corresponding to previous years</li> </ul> </li> </ul> <p>Verification of the metadata, in particular the source of the proposed data. The critical analysis of the compiled data gives preference to national sources and expert knowledge.</p> <ul> <li>After this verification, exchanges between the National Correspondents and FAO takes place to correct and confirm the collected data. </li> <li>The last validation step is an automated validation routine included in the Statistical Working System (SWS), which uses almost 200 validation rules. </li> </ul> English 2 characters edited Current translation Read only <p>Data validation is done in a number of steps. </p> <ul> <li>tThe AQUASTAT questionnaire embeds automatic validation rules to allow National Correspondents to identify any data consistency errors while compiling the data. </li> <li> Once the questionnaire is submitted, FAO thoroughly reviews the information reported, using the following tools:<ul> <li>Manual cross-variable check. This includes cross-comparison with similar countries as well as historic data for the countries. </li> <li>Time-series coherency by running an R-script to compare reported data with those corresponding to previous years</li> </ul> </li> </ul> <p>Verification of the metadata, in particular the source of the proposed data. The critical analysis of the compiled data gives preference to national sources and expert knowledge.</p> <ul> <li>After this verification, exchanges between the National Correspondents and FAO takes place to correct and confirm the collected data. </li> <li>The last validation step is an automated validation routine included in the Statistical Working System (SWS), which uses almost 200 validation rules. </li> </ul> a year ago
None String updated in the repository SDG Metadata / 6-4-1 — English	English <p><strong>Computation Method:</strong></p> <p>Water use efficiency is computed as the sum of the three sectors listed above, weighted according to the proportion of water used by each sector over the total use. In formula:</p> <p><img src="data:image/png;base64,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"></p> <p>Where:</p> <p>WUE = Water use efficiency</p> <p>A<sub>we</sub> = Irrigated agriculture water use efficiency [USD/m<sup>3</sup>]</p> <p>M<sub>we</sub> = MIMEC water use efficiency [USD/m<sup>3</sup>]</p> <p>S<sub>we</sub> = Services water use efficiency [USD/m<sup>3</sup>]</p> <p>P<sub>A</sub> = Proportion of water used by the agricultural sector over the total use</p> <p>P<sub>M</sub> = Proportion of water used by the MIMEC sector over the total use</p> <p>P<sub>S</sub> = Proportion of water used by the service sector over the total use</p> <p>The computing of each sector is described below.</p> <p><em>Water use efficiency in irrigated agriculture</em> is calculated as the agricultural value added per agricultural water use, expressed in USD/m<sup>3</sup>. </p> <p>In formula:</p> <p><img src="data:image/png;base64,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"></p> <p>Where:</p> <p>A<sub>we</sub> = Irrigated agriculture water use efficiency [USD/m<sup>3</sup>]</p> <p>GVA<sub>a </sub>= Gross value added by agriculture (excluding river and marine fisheries and forestry) [USD]</p> <p>C<sub>r</sub> = Proportion of agricultural GVA produced by rainfed agriculture </p> <p>V<sub>a</sub> = Volume of water used by the agricultural sector (including irrigation, livestock and aquaculture) [m<sup>3</sup>]</p> <p>The volume of water used by the agricultural sectors (V) is collected at country level through national records and reported in questionnaires, in units of m<sup>3</sup>/year (see example in AQUASTAT <a href="http://www.fao.org/nr/water/aquastat/sets/aq-5yr-quest_eng.xls"><u>http://www.fao.org/nr/water/aquastat/sets/aq-5yr-quest_eng.xls</u></a>). Agricultural value added in national currency is obtained from national statistics, converted to USD and deflated to the baseline year.</p> <p>C<sub>r</sub> can be calculated from the proportion of irrigated land on the total Arable land and Permanent crops (hereinafter “cultivated land”, as follows:</p> <p><img src="data:image/png;base64,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"></p> <p>Where:</p> <p>A<sub>i</sub> = proportion of irrigated land on the total cultivated land, in decimals</p> <p>0.563 = generic default ratio between rainfed and irrigated yields</p> <p>More detailed estimations are however possible and encouraged at country level.</p> <p><em>Water efficiency of the MIMEC sectors (including power production): </em>MIMEC value added per unit of water used for the MIMEC sector, expressed in USD/m<sup>3</sup>.</p> <p>In formula:</p> <p><img src="data:image/png;base64,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"></p> <p>Where:</p> <p>M<sub>we</sub> = Industrial water use efficiency [USD/m<sup>3</sup>]</p> <p>GVA<sub>m</sub> = Gross value added by MIMEC (including energy) [USD]</p> <p>V<sub>m</sub> = Volume of water used by MIMEC (including energy) [m<sup>3</sup>]</p> <p>MIMEC water use (V<sub>m</sub>) is collected at country level through national records and reported in questionnaires, in units of m<sup>3</sup>/year (see example in AQUASTAT <a href="http://www.fao.org/nr/water/aquastat/sets/aq-5yr-quest_eng.xls">http://www.fao.org/nr/water/aquastat/sets/aq-5yr-quest_eng.xls</a>). MIMEC value added is obtained from national statistics, deflated to the baseline year.</p> <p><em>Services water supply efficiency </em>is calculated as the service sector value added (ISIC 36-39 and ISIC 45-98) divided by water used for distribution by the water collection, treatment and supply industry (ISIC 36), expressed in USD/m<sup>3</sup>.</p> <p>In formula:</p> <p><img src="data:image/png;base64,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"></p> <p>Where:</p> <p>S<sub>we</sub> = <em>Services water use efficiency [USD/m<sup>3</sup>]</em></p> <p>GVA<sub>s</sub> = Gross value added by services [USD]</p> <p>V<sub>s</sub> = Volume of water used by the service sector [m<sup>3</sup>]</p> <p>Data on volumes of used and distributed water are collected at country level from the municipal supply utilities records and reported in questionnaires, in units of km<sup>3</sup>/year or million m<sup>3</sup>/year (see example in AQUASTAT <a href="http://www.fao.org/nr/water/aquastat/sets/aq-5yr-quest_eng.xls"><u>http://www.fao.org/nr/water/aquastat/sets/aq-5yr-quest_eng.xls</u></a>). Services value added is obtained from national statistics, deflated to the baseline year.</p> <p>Change in water use efficiency (CWUE) is computed as the ratio of water use efficiency (WUE) in time t minus water use efficiency in time t-1, divided by water use efficiency in time t-1 and multiplied by 100:</p> <p><img src="data:image/png;base64,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"></p> <p>It must be noted that computing the indicator in an aggregated manner, i.e. total GDP over total water use, would lead to an overestimation of the indicator. That is due to the fact that, for the agricultural sector, only the value produced under irrigation has to be counted in calculating the indicator. Hence, the sum of the value added of the various sectors used in these formulas is not equivalent to the total GDP of the country.</p> English 77 characters edited Current translation Read only <p><strong>Computation Method:</strong></p> <p>Water use efficiency is computed as the sum of the three sectors listed above, weighted according to the proportion of water used by each sector over the total use. In formula:</p> <p><img src="data:image/png;base64,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"></p> <p>Where:</p> <p>WUE = Water use efficiency</p> <p>A<sub>we</sub> = Irrigated agriculture water use efficiency [USD/m<sup>3</sup>]</p> <p>M<sub>we</sub> = MIMEC water use efficiency [USD/m<sup>3</sup>]</p> <p>S<sub>we</sub> = Services water use efficiency [USD/m<sup>3</sup>]</p> <p>P<sub>A</sub> = Proportion of water used by the agricultural sector over the total use</p> <p>P<sub>M</sub> = Proportion of water used by the MIMEC sector over the total use</p> <p>P<sub>S</sub> = Proportion of water used by the service sector over the total use</p> <p>The computing of each sector is described below.</p> <p><em>Water use efficiency in irrigated agriculture</em> is calculated as the agricultural value added per agricultural water use, expressed in USD/m<sup>3</sup>. </p> <p>In formula:</p> <p><img src="data:image/png;base64,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"></p> <p>Where:</p> <p>A<sub>we</sub> = Irrigated agriculture water use efficiency [USD/m<sup>3</sup>]</p> <p>GVA<sub>a </sub>= Gross value added by agriculture (excluding river and marine fisheries and forestry) [USD]</p> <p>C<sub>r</sub> = Proportion of agricultural GVA produced by rainfed agriculture </p> <p>V<sub>a</sub> = Volume of water used by the agricultural sector (including irrigation, livestock and aquaculture) [m<sup>3</sup>]</p> <p>The volume of water used by the agricultural sectors (V) is collected at country level through national records and reported in questionnaires, in units of m<sup>3</sup>/year (see example in AQUASTAT <a href="http://www.fao.org/nr/water/aquastat/sets/aq-5yr-quest_eng.xls"><u>http://www.fao.org/nr/water/aquastat/sets/aq-5yr-quest_eng.xls</u></a>). Agricultural value added in national currency is obtained from national statistics, converted to USD and deflated to the baseline year.</p> <p>C<sub>r</sub> can be calculated from the proportion of irrigated land on the total Arable land and Permanent crops (hereinafter “cultivated land”, as follows:</p> <p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlcAAAA+CAIAAACJPaloAAAAAXNSR0IArs4c6QAACcVJREFUeF7tnTtoFUsYx6/3WqmtCoIoAUE0EEGincZgoSRYacRGtFNQERRTGXwhGDwgqChplFgEH2lESeerEFHs1EaI2molGFvv7zKwnJtzkvPa3ezjt0U47tn5Zr7fbPJ3vpn5ZtGfP3/+8pKABCQgAQmUksDfpfRapyUgAQlIQAL/EVAFfQ8kIAEJSKC8BFTB8va9nktAAhKQgCroOyABCUhAAuUloAqWt+/1XAISkIAEVEHfAQlIQAISKC8BVbC8fa/nEpCABCSgCvoOSCCXBKampoaHh3PZdBstgSwRUAWz1Bu2RQLNEahUKqOjo79//27ucZ+SgATmJKAK+nJIIGcEbt261dvbOzQ0lLN221wJZJKAKpjJbrFREpibwNGjR7dt2yYhCUggFgKqYCwYNSIBCUhAArkkoArmsttstAQkIAEJxEJAFYwFo0YkIAEJSCCXBFTBXHabjZaABCQggVgIqIKxYNSIBNIm4DaJtIlbX0EJLPKU3YL2rG4VlsCjR4+ePn369etXPFy7du3AwMDevXsL662OSSBhAqpgwoA1LwEJSEACGSagCma4c2xaPQLsGX/y5AnxwCVLluzfv//gwYNykoAEJNA2AecF20ZnwQUgcPz48bdv3167du3+/ftdXV0zMzML0AirlIAECkRAFSxQZxbdFebDpqenr1y5sm7duhUrVmzYsGHjxo1Fd1r/JCCBZAkYEU2Wr9ZjJED8s6+vj/xhMdrUlAQkUHICqmDJX4DcuP/+/fvTp0+PjY0xEGy+0URQP3z4UPt8d3f39evXm7fjkxKQQFEJqIJF7dmi+TU+Ps72AKYDi+aY/khAAgtKQBVcUPxW3jQBloZ++vQpuQHcjh07mm6LD3ZE4Pnz5x2Vt7AEYiWgCsaKU2OJEWhPBY2IJtYhGpZAQQioggXpyMK7wQLRO3fuXLhwYfPmza9evbp58ybRUSYLR0ZGBgcHSaTCDgoHGdWvwffv3w8fPjw8POxhhIX/7dDBTgi4U6ITepZNjwBJwvr7+1kgQ+iSzRJbtmyhbv7QHzt27MWLFxy8Ti6x9FqTh5omJyeXLVsWEq15SUACcxFwLOi7kW8ClUplzZo1JtKc1YufP3+emJj48eMHuyrdW5LvV9zWJ0zAsWDCgDWfMAE2QvT09CRcSf7MI4EHDhzIX7ttsQRSJ6AKpo7cCuMjQESUhKIt7SCMr/LsWmK6lMaBxShxdjvJlmWGgCqYma6wIa0TII+aOwhrsT148ODIkSPcJ+E4QdHWuVpCAiUioAqWqLN1tQwEWEDLclmyzbGMCDmsVkGWjIZhopcEJBARcHWML4MECkUAqWPdLPtJ8Kq9TZaFwqEzEmhEwLFgI0J+XyYCTDSywY7hVE6dZlclUeIggVxMmv769St8JoEAruXUL5stgeQIqILJsdVyzggQLQznFzZsN49lUClpP4kFEHIuXKCFHEfMfsHQ1O3bt3sQVcOe9YESElAFS9jpulyHABvs2H2fXJ7SFKAzBCThOELIcJDqSBlDMh2ukDvm27dvLhlNoResIncEVMHcdZkNToQA+wpOnToV9KOQFxsr169f7+qYQnauTnVCQBXshJ5lJZAnAswLrl69Ok8ttq0SSJ6Aa0STZ2wNuSLABoPz58/XZqBmvSUbD+q6YhbvXPWwjZXA/wiogr4QEvgfgblUsPohVsfs27ev7lkNnlM4//vk/xj8fcsaAVUwaz1iexaYQIcqGLWe5TaPHz8mmfXu3bvTdInNEhxHTO6YpOc4p6amWIBqqu40O9e6kiDgvGASVLWZVwJhj0HnF4tQLl++vGfPnmoJJKbK1bnxYIH9D3XHnRyvMTAwcPHixfZ8QUQpjmWOcqy1QPv5Klyjo6OzFp1Slj37pK2JfOT5kMWGn6hmXL5rRwIxElAFY4SpqXwTIM7JH3F84PxCPnfizN27dzEVpflGTjA417RiexWxr4OCddd8smWit7f39u3brVpm/Mrxxegf2Vk/fvx47969Wgvd3d1hAwZXtcZT6uXLl3gdZXaNMtdwB728ceNGq+3xeQmkQEAVTAGyVeSDAJsF2W/HH3d+zr9xkG/nOcCdURqyV/0AgnTixAn0Iy4QjLqItWJtZmamrs1du3bhSKvDQUK4HF+MiBJNZUT47NmzJhtMe758+TILC8FS7mCKCxXkyN8mrfmYBNIkoAqmSdu6SkGAURRaUu3qyMhIvMc/Meqa/2BhhAfRnSvBDaO0ul8xzxcFOflAArYmO+zhw4dhGF17ocRhqvLMmTNNWvMxCaRJQBVMk7Z1lYIAf/E50ig5V8fHx0mHhv2GuWBqj1Vico7QJfIWgrQNB4uzxHL58uXT09Nh4rBSqQQficpiB+0P96vNUpwZQaKsFHSrYnKvhJY7IaAKdkLPshKIgUBY51L3qh2xBb0JA0FijA1lbFb7mMkjlEqok6jvoUOHGq4jXbp0abUF6qUg19WrVzGCHvMtUVlUn+Ev98fGxmjS5ORkKBWyuHGTeGmkmjEg04QE4iOgCsbHUksSaItAlPAzWnUSfaidfURgyPcdJJOkaNFoD+1hKNawfsaCDFX7+/sRLZbwNBTR6HiKWZa539XV9e7du3Cfz+FJAr99fX1UUf08N4mXNpOmvGH7fUACsRNQBWNHqsGyE2CwldAJ76zhREtYchlksnq5DaM6hmKz0BOHrB0LMknJ0I3zJcLSleoHeD4SMOYIG44Uo8DvLDWtGxBONEpc9ndO/zsgoAp2AM+iEqhHAIEhaFn7TXTUX9vYJiYmGAJG4oTBaAEL90N8MlzIEiPFnp6eunWxerPuGleGcZQK83yoLP+keAjYhths9IF/MkEYHsAULQm1h6M52KfBZ9bgkLk0nPSEQm/durVtxy0ogeQIqILJsdVySQmgCox7qqf0mBJjkQijK7YMsnikvYMdWGmJMmEkYEVj+MzQEOEJ+lR9fCCBU+60ujCVlg8NDTFYpLUMNGvzwmCTzZT8ZMHL4OBgtF+QFTe0jfsnT55EGsO05c6dO5lWxBQXH0hnU9IXQrezTcAMatnuH1uXTwLoHKlVLl261KoOte0uE2+cLBiKUztzfmfPnm0Y0my7OgtKoDAE/jl37lxhnNERCWSEwKpVqzZt2sQm9J8/f6YghIQc37x5s3LlysWLF7P+5fXr18U+KzEjvWwzikHAsWAx+lEvSk2AoCihSCbeCGaWGoTOS6B1Aqpg68wsIQEJSEACRSHg6pii9KR+SEACEpBA6wRUwdaZWUICEpCABIpCQBUsSk/qhwQkIAEJtE5AFWydmSUkIAEJSKAoBFpTQbLisgK7KL7rhwQkIAEJlJ3AvygAq/mb9Oh2AAAAAElFTkSuQmCC"></p> <p>Where:</p> <p>A<sub>i</sub> = proportion of irrigated land on the total cultivated land, in decimals</p> <p>0.563 = generic default ratio between rainfed and irrigated yields</p> <p>More detailed estimations are however possible and encouraged at country level.</p> <p><em>Water efficiency of the MIMEC sectors (including power production): </em>MIMEC value added per unit of water used for the MIMEC sector, expressed in USD/m<sup>3</sup>.</p> <p>In formula:</p> <p><img src="data:image/png;base64,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"></p> <p>Where:</p> <p>M<sub>we</sub> = Industrial water use efficiency [USD/m<sup>3</sup>]</p> <p>GVA<sub>m</sub> = Gross value added by MIMEC (including energy) [USD]</p> <p>V<sub>m</sub> = Volume of water used by MIMEC (including energy) [m<sup>3</sup>]</p> <p>MIMEC water use (V<sub>m</sub>) is collected at country level through national records and reported in questionnaires, in units of m<sup>3</sup>/year (see example in AQUASTAT <a href="http://www.fao.org/nr/water/aquastat/sets/aq-5yr-quest_eng.xls">http://www.fao.org/nr/water/aquastat/sets/aq-5yr-quest_eng.xls</a>). MIMEC value added is obtained from national statistics, deflated to the baseline year.</p> <p><em>Services water supply efficiency </em>is calculated as the service sector value added (ISIC 36-39 and ISIC 45-98) divided by water used for distribution by the water collection, treatment and supply industry (ISIC 36), expressed in USD/m<sup>3</sup>.</p> <p>In formula:</p> <p><img src="data:image/png;base64,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"></p> <p>Where:</p> <p>S<sub>we</sub> = <em>Services water use efficiency [USD/m<sup>3</sup>]</em></p> <p>GVA<sub>s</sub> = Gross value added by services [USD]</p> <p>V<sub>s</sub> = Volume of water used by the service sector [m<sup>3</sup>]</p> <p>Data on volumes of used and distributed water are collected at country level from the municipal supply utilities records and reported in questionnaires, in units of km<sup>3</sup>/year or million m<sup>3</sup>/year (see example in AQUASTAT <a href="http://www.fao.org/nr/water/aquastat/sets/aq-5yr-quest_eng.xls"><u>http://www.fao.org/nr/water/aquastat/sets/aq-5yr-quest_eng.xls</u></a>). Services value added is obtained from national statistics, deflated to the baseline year.</p> <p>Change in water use efficiency (CWUE) is computed as the ratio of water use efficiency (WUE) in time t minus water use efficiency in time t-1, divided by water use efficiency in time t-1 and multiplied by 100:</p> <p><img src="data:image/png;base64,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"></p> <p>It must be noted that computing the indicator in an aggregated manner, i.e. total GDP over total water use, would lead to an overestimation of the indicator. That is due to the fact that, for the agricultural sector, only the value produced under irrigation has to be counted in calculating the indicator. Hence, the sum of the value added of the various sectors used in these formulas is not equivalent to the total GDP of the country.</p> a year ago
None String updated in the repository SDG Metadata / 6-4-1 — English	English <p>The corrective coefficient, C<sub>r</sub>, for the agricultural sector is needed in order to focus the indicator on the irrigated production. This is done for two main reasons:</p> <ul> <li>To ensure that only runoff water and groundwater (so-called blue water) are considered in computing the indicator;</li> <li>To eliminate a potential bias of the indicators, which otherwise would tend to decrease if rainfed cropland is converted to irrigated.</li> </ul> English 13 characters edited Current translation Read only <p>The corrective coefficient, Cr<sub>r</sub>, for the agricultural sector is needed in order to focus the indicator on the irrigated production. This is done for two main reasons:</p> <ul> <li>To ensure that only runoff water and groundwater (so-called blue water) are considered in computing the indicator;</li> <li>To eliminate a potential bias of the indicators, which otherwise would tend to decrease if rainfed cropland is converted to irrigated.</li> </ul> a year ago
None String updated in the repository SDG Metadata / 6-4-1 — English	English <p>The rationale behind this indicator consists in providing information on the efficiency of the economic and social usage of water resources, i.e., value added generated by the use of water in the main sectors of the economy, and distribution network losses.</p> <p>The distribution efficiency of water systems is implicit within the calculations and could be made explicit if needed and where data are available.</p> <p>This indicator addresses specifically the target component “substantially increase water-use efficiency across all sectors”, by measuring the output per unit of water from productive uses of water as well as losses in municipal water use. It does not aim at giving an exhaustive picture of the water utilization in a country. Other indicators, specifically those for Targets 1.1, 1.2, 2.1, 2.2, 5.4, 5.a, 6.1, 6.2, 6.3, 6.5 will complement the information provided by this indicator. In particular, the indicator needs to be combined with the water stress indicator 6.4.2 to provide adequate follow-up of the target 6.4.</p> <p>Together, the three sectoral efficiencies provide a measure of overall water efficiency in a country. The indicator provides incentives to improve water use efficiency through all sectors, highlighting those sectors where water use efficiency is lagging behind.</p> <p>The interpretation of the indicator would be enhanced by the utilization of supplementary indicators to be used at country level. Particularly important in this sense would be the indicator on efficiency of water for energy and the indicator on the efficiency of the municipality distribution networks.</p> English 1 character edited Current translation Read only <p>The rationale behind this indicator consists in providing information on the efficiency of the economic and social usage of water resources, i.e., value added generated by the use of water in the main sectors of the economy, and distribution network losses.</p> <p>The distribution efficiency of water systems is implicit within the calculations and could be made explicit if needed and where data are available.</p> <p>This indicator addresses specifically the target component “substantially increase water-use efficiency across all sectors”, by measuring the output per unit of water from productive uses of water as well as losses in municipal water use. It does not aim at giving an exhaustive picture of the water utilization in a country. Other indicators, specifically those for Targets 1.1, 1.2, 2.1, 2.2, 5.4, 5.a, 6.1, 6.2, 6.3, 6.5 will complement the information provided by this indicator. In particular, the indicator needs to be combined with the water stress indicator 6.4.2 to provide adequate follow-up of the target 6.4.</p> <p>Together, the three sectoral efficiencies provide a measure of overall water efficiency in a country. The indicator provides incentives to improve water use efficiency through all sectors, highlighting those sectors where water use efficiency is lagging behind.</p> <p>The interpretation of the indicator would be enhanced by the utilization of supplementary indicators to be used at country level. Particularly important in this sense would be the indicator on efficiency of water for energy and the indicator on the efficiency of the municipality distribution networks.</p> a year ago

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