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Strings status

Strings Words Characters
31 2,075 16,456
All strings Browse Translate Zen
31 2,075 16,456
Read-only strings Browse Translate Zen
20 1,961 15,634
Strings with any failing checks Browse Translate Zen
6 32 252
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19 1,959 15,613
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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.
  • 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 2 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/*/17-1-2.yml
Monolingual base language file translations-metadata/en/17-1-2.yml
Translation file Download translations-metadata/en/17-1-2.yml
Last change None
Last author None
yesterday

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 31 2,075 16,456
Translated 100% 31 100% 2,075 100% 16,456
Needs editing 0% 0 0% 0 0% 0
Read-only 100% 31 100% 2,075 100% 16,456
Failing checks 64% 20 94% 1,961 95% 15,634
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 0% 0 0% 0 0% 0
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Resource updated

  1. SDG Metadata
  2. 17-1-2
  3. English
The “translations-metadata/en/17-1-2.yml” file was changed. 8 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 17-1-2
  3. English
<p><strong>Data availability:</strong></p>
<p>Classification of the indicator into one of the following three tiers:</p>
<p>We recommend that 17.1.2 remain classified as Tier 1: The indicator is conceptually clear and standards are available. The underlying data are regularly produced by countries, and there is current data available. From the IAEG-SDGs Tier Classification description at https://unstats.un.org/sdgs/iaeg-sdgs/tier-classification/, a key criterion is that &#x201C;data are regularly produced by countries for at least 50 per cent of countries&#x201D;. The IMF GFS database, with 130+ regular annual reporting countries using the same reporting format certainly meets this key criterion. All IMF member countries produce revenue (and expenditure) data for surveillance purposes. In recent rounds of soliciting annual GFS series from countries, we have specifically encouraged those countries that were non-reporters over the past few years to (at a minimum) provide the key revenue and expenditure series needed to monitor 17.1.</p>
<p><strong>Disaggregation:</strong></p>
<p>General government units have four types of revenue: (i) compulsory levies in the form of taxes and certain types of social contributions; (ii) property income derived from the ownership of assets; (iii) sales of goods and services; and (iv) other transfers receivable from other units. Of these, compulsory levies and transfers are considered the main sources of revenue for most general government units (GFSM 2014 paragraph 5.1). These four types of revenue are represented by the following aggregates: Taxes, Social contributions, Grants, Other revenue. Similarly, the economic classification of expense identifies eight types of expense incurred according to the economic process involved. For example, compensation of employees, use of goods and services, and consumption of fixed capital all relate to the costs of producing non-market (and, in certain instances, market) goods and services by government. Subsidies, grants, social benefits, and transfers other than grants relate to transfers in cash or in kind, and are aimed at redistributing income and wealth. The functional classification of expense provides information on the purpose for which an expense was incurred. Examples of functions are education, health, and environmental protection. The detailed GFS classification structure used in the annual questionnaire that is used by countries to report data allows for sufficient disaggregation for compiling 17.1.2.</p>
<p><strong>Data availability:</strong></p>
<p>Classification of the indicator into one of the following three tiers:</p>
<p>We recommend that 17.1.2 remain classified as Tier 1: The indicator is conceptually clear and standards are available. The underlying data are regularly produced by countries, and there is current data available. From the IAEG-SDGs Tier Classification description at https://unstats.un.org/sdgs/iaeg-sdgs/tier-classification/, a key criteriaon is that &#x201C;data are regularly produced by countries for at least 50 per cent of countries&#x201D;. The IMF GFS database, with 130+ regular annual reporting countries using the same reporting format certainly meets this key criteriaon. All IMF member countries produce revenue (and expenditure) data for surveillance purposes. In recent rounds of soliciting annual GFS series from countries, we have specifically encouraged those countries that were non-reporters over the past few years to (at a minimum) provide the key revenue and expenditure series needed to monitor 17.1.</p>
<p><strong>Disaggregation:</strong></p>
<p>General government units have four types of revenue: (i) compulsory levies in the form of taxes and certain types of social contributions; (ii) property income derived from the ownership of assets; (iii) sales of goods and services; and (iv) other transfers receivable from other units. Of these, compulsory levies and transfers are considered the main sources of revenue for most general government units (GFSM 2014 paragraph 5.1). These four types of revenue are represented by the following aggregates: Taxes, Social contributions, Grants, Other revenue. Similarly, the economic classification of expense identifies eight types of expense incurred according to the economic process involved. For example, compensation of employees, use of goods and services, and consumption of fixed capital all relate to the costs of producing non-market (and, in certain instances, market) goods and services by government. Subsidies, grants, social benefits, and transfers other than grants relate to transfers in cash or in kind, and are aimed at redistributing income and wealth. The functional classification of expense provides information on the purpose for which an expense was incurred. Examples of functions are education, health, and environmental protection. The detailed GFS classification structure used in the annual questionnaire that is used by countries to report data allows for sufficient disaggregation for compiling 17.1.2.</p>
8 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 17-1-2
  3. English
<p>The IMF Statistics Department will leverage the existing GFS database to provide cross-country comparable series in a standardized presentation format. </p>
<p>The IMF Statistics Department will leverage the existing GFS database to provide cross-country comparable series in a standardized presentation format. We would appreciate further discussion with the IAEG SDGs on the merits of deriving regional or global aggregates from the country reported values for this indicator. </p>
8 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 17-1-2
  3. English
<p>Not applicable</p>
<p>N/Aot applicable</p>
8 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 17-1-2
  3. English
<p>GFS budgetary central government revenue series - collected in Table 1 of the annual <a href="https://www.imf.org/external/pubs/ft/gfs/manual/gfs-qtca.htm">GFS Questionnaire</a> provided to all countries - will be combined with series on budgetary central government expenditure (actual execution of the main budget) on &#x201C;expense&#x201D; plus the &#x201C;net acquisition of non-financial assets&#x201D;, as defined in <em>GFSM 2014</em>). GFS Expenditure series are reported by the economic classification in Tables 2, and 3 (items under code 31). Alternatively, for those countries that report total expenditure according to the functional classification (COFOG) in GFS Table 7, a similar calculation can be made. The <em>Proportion of domestic budgetary central government expenditure funded by taxes</em> will be calculated as (Taxes / Expenditure expressed as a %) using the following data series:</p>
<p>An Example: Calculation of SDG Indicator 17.1.2<br></p>
<table>
<tbody>
<tr>
<td>
<p><strong>Total Revenue</strong></p>
</td>
<td>
<p><strong>963</strong></p>
</td>
<td>
<p><strong> </strong></p>
</td>
<td>
<p><strong>Expenditure</strong></p>
</td>
<td>
<p><strong>1200</strong></p>
</td>
</tr>
<tr>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
</tr>
<tr>
<td>
<p>Taxes</p>
</td>
<td>
<p>800</p>
</td>
<td>
<p> </p>
</td>
<td>
<p>Expense</p>
</td>
<td>
<p>950</p>
</td>
</tr>
<tr>
<td>
<p>Social contributions</p>
</td>
<td>
<p>105</p>
</td>
<td>
<p> </p>
</td>
<td rowspan="2">
<p>Net acquisition of nonfinancial assets</p>
</td>
<td>
<p>250</p>
</td>
</tr>
<tr>
<td>
<p>Grants</p>
</td>
<td>
<p>25</p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
</tr>
<tr>
<td>
<p>Other revenue</p>
</td>
<td>
<p>33</p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
</tr>
<tr>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
</tr>
<tr>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p><strong>SDG Indicator 17.1.2</strong></p>
</td>
<td>
<p><strong>67%</strong></p>
</td>
</tr>
</tbody>
</table>
<p>Consistency across countries will be ensured through the underlying structure of the IMF GFS database and application of one simple mathematical formula to make computations on the country reported source data used to produce the indicator (no adjustments and/or weighting techniques will be applied). Mixed sources are not being used nor will the calculation change over time (i.e., there are no discontinuities in the underlying series as these are key aggregates/components in all country reported GFS series).</p>
<p>GFS budgetary central government revenue series - collected in Table 1 of the annual data q<a href="https://www.imf.org/external/pubs/ft/gfs/manual/gfs-qtca.htm">GFS Questionnaire</a> provided to all countries - will be combined with series on budgetary central government expenditure (actual execution of the main budget) on &#x201C;expense&#x201D; plus the &#x201C;net acquisition of non-financial assets&#x201D;, as defined in <em>GFSM 2014</em>). GFS Expenditure series are reported by the economic classification in Tables 2, and 3 (items under code 31). Alternatively, for those countries that report total expenditure according to the functional classification (COFOG) in GFS Table 7, a similar calculation can be made. The <em>Proportion of domestic budgetary central government expenditure funded by taxes</em> will be calculated as (Taxes / Expenditure expressed as a %) using the following data series:</p>
<p>An Example: Calculation of SDG Indicator 17.1.2<br></p>
<table>
<tbody>
<tr>
<td>
<p><strong>Total Revenue</strong></p>
</td>
<td>
<p><strong>963</strong></p>
</td>
<td>
<p><strong> </strong></p>
</td>
<td>
<p><strong>Expenditure</strong></p>
</td>
<td>
<p><strong>1200</strong></p>
</td>
</tr>
<tr>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
</tr>
<tr>
<td>
<p>Taxes</p>
</td>
<td>
<p>800</p>
</td>
<td>
<p> </p>
</td>
<td>
<p>Expense</p>
</td>
<td>
<p>950</p>
</td>
</tr>
<tr>
<td>
<p>Social contributions</p>
</td>
<td>
<p>105</p>
</td>
<td>
<p> </p>
</td>
<td rowspan="2">
<p>Net acquisition of nonfinancial assets</p>
</td>
<td>
<p>250</p>
</td>
</tr>
<tr>
<td>
<p>Grants</p>
</td>
<td>
<p>25</p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
</tr>
<tr>
<td>
<p>Other revenue</p>
</td>
<td>
<p>33</p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
</tr>
<tr>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
</tr>
<tr>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p><strong>SDG Indicator 17.1.2</strong></p>
</td>
<td>
<p><strong>67%</strong></p>
</td>
</tr>
</tbody>
</table>
<p>Consistency across countries will be ensured through the underlying structure of the IMF GFS database and application of one simple mathematical formulas to make computations on the country reported source data used to produce the indicator (no adjustments and/or weighting techniques will be applied). Mixed sources are not being used nor will the calculation change over time (i.e., there are no discontinuities in the underlying series as these are key aggregates/ components in all country reported GFS series).</p>
8 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 17-1-2
  3. English
<p>At this time, the IMF recommends no regional and global aggregates be established. While we see no issues in terms of the feasibility and suitability of 17.1.2 for cross-country comparisons, we question the relevance of one single global indicator that combines data for advanced economies with those of emerging market and low-income countries. </p>
<p>For reporting this indicator, budgetary central government is considered the most appropriate level of institutional coverage as it will encompass all countries. In principle, GFS should cover all entities that materially affect fiscal policies. However, for most developing and many emerging market economies compiling data for the consolidated general government and its subsectors is problematic owing to limitations in the availability and/or timeliness of source data. A country may have one central government; several state, provincial, or regional governments; and many local governments, and the GFSM 2014 recommends that statistics should be compiled for all such general government units. This reporting structure is illustrated below:</p>
<p>Structure of the general government sector and its subsectors</p>
<table>
<tbody>
<tr>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td colspan="2">
<p>General Government</p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td rowspan="3">
<p>Memorandum: Central Govt. (incl. SSF of central level)</p>
</td>
</tr>
<tr>
<td colspan="4">
<p>Central Government (excluding social security funds)</p>
</td>
<td rowspan="2">
<p>Social Security Funds</p>
</td>
<td rowspan="2">
<p>State Governments</p>
</td>
<td rowspan="2">
<p>Local Governments</p>
</td>
<td rowspan="2">
<p>Consolidation Column</p>
</td>
<td rowspan="2">
<p>General Government</p>
</td>
</tr>
<tr>
<td>
<p>Budgetary</p>
</td>
<td>
<p>Extrabudgetary</p>
</td>
<td>
<p>Consolidation Column</p>
</td>
<td>
<p>Central Government</p>
</td>
</tr>
<tr>
<td>
<p>BA = GL1</p>
</td>
<td>
<p>EA</p>
</td>
<td>
<p>CC</p>
</td>
<td>
<p>CG</p>
</td>
<td>
<p>SSF</p>
</td>
<td>
<p>SG</p>
</td>
<td>
<p>LG</p>
</td>
<td>
<p>CT</p>
</td>
<td>
<p>GG = GL3</p>
</td>
<td>
<p>GL2</p>
</td>
</tr>
</tbody>
</table>
<p>There are some countries that report &#x201C;consolidated central government&#x201D; without necessarily providing the budgetary central government sub-sector separately. The IMF intends to provide data for the budgetary central government and will work to address this issue, where needed, as outlined under section 5, above.</p>
<p>At this time, the IMF recommends no regional and global aggregates be established. While we see no issues in terms of the feasibility and suitability of 17.1.2 for cross-country comparisons, we question the relevance of one single global indicator that combines data for advanced economies with those of emerging market and low -income countries. </p>
<p>For reporting this indicator, budgetary central government is considered the most appropriate level of institutional coverage as it will encompass all countries. In principle, GFS should cover all entities that materially affect fiscal policies. However, for most developing and many emerging market economies compiling data for the consolidated general government and its subsectors is problematic owing to limitations in the availability and/or timeliness of source data. A country may have one central government; several state, provincial, or regional governments; and many local governments, and the GFSM 2014 recommends that statistics should be compiled for all such general government units. This reporting structure is illustrated below:</p>
<p>Structure of the general government sector and its subsectors</p>
<table>
<tbody>
<tr>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td colspan="2">
<p>General Government</p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td>
<p> </p>
</td>
<td rowspan="3">
<p>Memorandum: Central Govt. (incl. SSF of central level)</p>
</td>
</tr>
<tr>
<td colspan="4">
<p>Central Government (excluding social security funds)</p>
</td>
<td rowspan="2">
<p>Social Security Funds</p>
</td>
<td rowspan="2">
<p>State Governments</p>
</td>
<td rowspan="2">
<p>Local Governments</p>
</td>
<td rowspan="2">
<p>Consolidation Column</p>
</td>
<td rowspan="2">
<p>General Government</p>
</td>
</tr>
<tr>
<td>
<p>Budgetary</p>
</td>
<td>
<p>Extrabudgetary</p>
</td>
<td>
<p>Consolidation Column</p>
</td>
<td>
<p>Central Government</p>
</td>
</tr>
<tr>
<td>
<p>BA = GL1</p>
</td>
<td>
<p>EA</p>
</td>
<td>
<p>CC</p>
</td>
<td>
<p>CG</p>
</td>
<td>
<p>SSF</p>
</td>
<td>
<p>SG</p>
</td>
<td>
<p>LG</p>
</td>
<td>
<p>CT</p>
</td>
<td>
<p>GG = GL3</p>
</td>
<td>
<p>GL2</p>
</td>
</tr>
</tbody>
</table>
<p>There are some countries that report &#x201C;consolidated central government&#x201D; without necessarily providing the budgetary central government sub-sector separately. The IMF intends to provide data for the budgetary central government and will work to address this issue, where needed, as outlined under section 5, above.</p>
8 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 17-1-2
  3. English
<p>Indicator 17.1.2, Proportion of domestic budgetary central government expenditure funded by taxes, supports an understanding of the extent to which countries&#x2019; recurrent and capital outlays are actually covered by domestic revenue mobilization in the form of taxation. The indicator, which can be directly derived from GFS series reported by national authorities to the IMF Statistics Department, will provide analysts with a cross-country comparable dataset that highlights the relationship between the executed national budget and the revenue/tax administration As outlined in the Annex to Chapter 4 of GFSM 2014, a variety of indicators can be observed or derived directly from the GFS framework, while others can be derived using a combination of GFS with other macroeconomic data (i.e., GDP). 17.1.2 will be derived using series that are basic to the GFS reporting framework. This enhances the comparability of data across countries and ensures establishing robust analytical findings to support SDG monitoring using fiscal data. There are also complementarities with Indicator 17.1.1, which facilitates an understanding of the &quot;tax burden&quot;. Both indicators are important in relation to achieving longer-term development objectives.</p>
<p>Indicator 17.1.2, Proportion of domestic budgetary central government expenditure funded by taxes, supports an understanding of the extent to which countries&#x2019; recurrent and capital outlays are actually covered by domestic revenue mobilization in the form of taxation. The indicator, which can be directly derived from GFS series reported by national authorities to the IMF Statistics Department, will provide analysts with a cross-country comparable dataset that highlights the relationship between the executed national budget and the revenue/tax administration As outlined in the Annex to Chapter 4 of GFSM 2014, a variety of indicators can be observed or derived directly from the GFS framework, while others can be derived using a combination of GFS with other macroeconomic data (i.e., GDP). 17.1.2 will be derived using series that are basic to the GFS reporting framework. This enhances the comparability of data across countries and ensures establishing robust analytical findings to support SDG monitoring using fiscal data. There are also complementarities with Indicator 17.1.1, which facilitates an understanding of the &quot;tax burden&quot;. Both indicators are important in relation to achieving longer-term development objectives.</p>
8 months ago
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String updated in the repository

  1. SDG Metadata
  2. 17-1-2
  3. English
<p>The International Monetary Fund (IMF) Statistics Department (Government Finance Division) is the organization responsible for the compilation and reporting on this indicator at the global level.</p>
<p>The International Monetary Fund (IMF) Statistics Department (Government Finance Division) is the organization responsible for the compilation and reporting on this indicator at the global level.</p>
8 months ago
User avatar None

String updated in the repository

  1. SDG Metadata
  2. 17-1-2
  3. English
<p>Country data are disseminated as they are processed following the data collection. Summary World Tables and other indicators including 17.1.2 are planned for release early in the second year from the reference year. For most countries, the latest data will be the reference year, including five or more most recent years.</p>
<p>Country data are disseminated as they are processed and sfollowing the data collection. Summary World Tables and other indicators, including 17.1.2 are planned for release in early 2021. For most countries, the reference year will be their Fiscal Year 2019 series, as well asearly in the second year from the reference year. For most countries, the latest data will be the reference year, including five or more most recent years.</p>
8 months ago
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String updated in the repository

  1. SDG Metadata
  2. 17-1-2
  3. English
<p>The data collection cycle normally runs from September through December of the next year from the reference year (T+9 to 12 months). IMF Statistics Department normally completes a round of annual GFS collection in February of the following year. </p>
<p>Dates when source collection is next planned:The data collection cycle normally runs from September through December of the next year from the reference year (T+9 to 12 months). IMF Statistics Department completed the 2020normally completes a round of annual GFS collection in February 2021. The 2021 collection cycle is planned to take place between September and December 2021.of the following year. </p>
8 months ago
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