Translation components API.

See the Weblate's Web API documentation for detailed description of the API.

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                "source": "<p>The underlying annual GDP estimates in domestic currency are collected from countries or areas annually through a national accounts questionnaire (NAQ), while the underlying population estimates are obtained from the UN Population Division on <a href=\"https://population.un.org/wpp/Download/Standard/Population/\" target=\"_blank\"><u>https://population.un.org/wpp/Download/Standard/Population/</u></a></p>",
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                "source": "<p>Annual growth rate of real Gross Domestic Product (GDP) per capita is calculated as the percentage</p>\n<p>change in the real GDP per capita between two consecutive years. Real GDP per capita is calculated by</p>\n<p>dividing GDP at constant prices by the population of a country or area. The data for real GDP are</p>\n<p>measured in constant US dollars to facilitate the calculation of country growth rates and aggregation of</p>\n<p>the country data.</p>",
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            "action": 59,
            "target": "اخر تحديث",
            "old": "اخر تحديث",
            "details": {
                "state": 10,
                "source": "2022-03-31",
                "old_state": 10
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            "timestamp": "2022-04-09T01:54:24.543610+02:00",
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            "target": "<p> الهدف 8: تعزيز النمو الاقتصادي المستدام والشامل والمستدام، والعمالة الكاملة والمنتجة، وتوفير العمل اللائق للجميع</p>",
            "old": "<p> الهدف 8: تعزيز النمو الاقتصادي المستدام والشامل والمستدام، والعمالة الكاملة والمنتجة، وتوفير العمل اللائق للجميع</p>",
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            "action": 59,
            "target": "<p><strong>URL:</strong></p>\n<p><a href=\"https://unstats.un.org/unsd/snaama/Index\">https://unstats.un.org/unsd/snaama/Index</a> </p>\n<p><strong>References:</strong></p>\n<p><a href=\"http://unstats.un.org/unsd/nationalaccount/sna.asp\">http://unstats.un.org/unsd/nationalaccount/sna.asp</a> <a href=\"http://unstats.un.org/unsd/nationalaccount/data.asp\">http://unstats.un.org/unsd/nationalaccount/data.asp</a> </p>\n<p><a href=\"https://unstats.un.org/unsd/snaama/Index\">https://unstats.un.org/unsd/snaama/Index</a> </p>\n<p><a href=\"http://data.un.org/Explorer.aspx?d=SNAAMA\">http://data.un.org/Explorer.aspx?d=SNAAMA</a> </p>\n<p><a href=\"https://population.un.org/wpp/\">https://population.un.org/wpp/</a> </p>",
            "old": "<p><strong>URL:</strong></p>\n<p>https://unstats.un.org/unsd/snaama/Index </p>\n<p><strong>References:</strong></p>\n<p>http://unstats.un.org/unsd/nationalaccount/sna.asp http://unstats.un.org/unsd/nationalaccount/data.asp </p>\n<p>https://unstats.un.org/unsd/snaama/Index</p>\n<p>http://data.un.org/Explorer.aspx?d=SNAAMA </p>\n<p>https://population.un.org/wpp/</p>",
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            "user": null,
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            "timestamp": "2022-04-09T01:54:24.364863+02:00",
            "action": 59,
            "target": "<p><strong>Sources of discrepancies: </strong></p>\n<p>The differences with country data include the following: </p>\n<p>Official country data are typically available in domestic currency only. The data estimates for this indicator are in US dollars. </p>\n<p>Countries or areas may not have a full set of official GDP data. The GDP data estimated by UNSD include imputations using various estimation procedures as described above to obtain estimates for the entire time series. </p>\n<p>Official country data are often reported as multiple sets of time series versions, with each version representing a unique methodology used to compile the national accounts data (for example, a difference between two time series versions could reflect a change in currency, a switch from 1968 SNA to 1993 SNA, a change in the office responsible for compiling national accounts, etc.). These time series versions may not be comparable, especially when a country has shifted from the 1968 SNA to 1993 SNA or 2008 SNA. When a single time series version does not exist for the entire period (1970 to t-1), UNSD uses estimation procedures to backcast the most recently reported time series version. </p>\n<p>Backcasting is only performed when time series overlap for at least one year. The overlapping year is used to create a ratio; this ratio is then applied backwards to the previous time series version. If there is a change of fiscal year between two official data time series, the older series are converted to the fiscal year type of the most recent time series prior to backcasting. UNSD uses the same backcasting methods when official country constant price time series versions include multiple base years or when constant price time series versions are reported as constant prices of the previous year (CPPY). CPPY data are backcasted by using the officially reported current price data and the officially reported constant price data. The data are backcasted into a single series with a fixed base year. </p>\n<p>The population estimates from the United Nations Population Division may be different from country-produce estimates as the former include analysis carried out to take into account deficiencies such as incompleteness of coverage, lack of timeliness and errors in the reporting or coding of the basic information and to establish past population trends by resolving the inconsistencies affecting the basic data.</p>",
            "old": "<p><strong>Sources of discrepancies: </strong></p>\n<p>The differences with country data include the following: </p>\n<p> Official country data are typically available in domestic currency only. The data estimates for this indicator are in US dollars. </p>\n<p>Countries or areas may not have a full set of official GDP data. The GDP data estimated by UNSD include imputations using various estimation procedures as described above to obtain estimates for the entire time series. </p>\n<p>Official country data are often reported as multiple sets of time series versions, with each version representing a unique methodology used to compile the national accounts data (for example, a difference between two time series versions could reflect a change in currency, a switch from 1968 SNA to 1993 SNA, a change in the office responsible for compiling national accounts, etc.). These time series versions may not be comparable, especially when a country has shifted from the 1968 SNA to 1993 SNA or 2008 SNA. When a single time series version does not exist for the entire period (1970 to t-1), UNSD uses estimation procedures to backcast the most recently reported time series version. Backcasting is only performed when time series overlap for at least one year. The overlapping year is used to create a ratio; this ratio is then applied backwards to the previous time series version. If there is a change of fiscal year between two official data time series, the older series are converted to the fiscal year type of the most recent time series prior to backcasting. UNSD uses the same backcasting methods when official country constant price time series versions include multiple base years or when constant price time series versions are reported as constant prices of the previous year (CPPY). CPPY data are backcasted by using the officially reported current price data and the officially reported constant price data. The data are backcasted into a single series with a fixed base year. </p>\n<p>The population estimates from the United Nations Population Division may be different from country-produce estimates as the former include analysis carried out to take into account deficiencies such as incompleteness of coverage, lack of timeliness and errors in the reporting or coding of the basic information and to establish past population trends by resolving the inconsistencies affecting the basic data.</p>",
            "details": {
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                "source": "<p><strong>Sources of discrepancies: </strong></p>\n<p>The differences with country data include the following: </p>\n<p>Official country data are typically available in domestic currency only. The data estimates for this indicator are in US dollars. </p>\n<p>Countries or areas may not have a full set of official GDP data. The GDP data estimated by UNSD include imputations using various estimation procedures as described above to obtain estimates for the entire time series. </p>\n<p>Official country data are often reported as multiple sets of time series versions, with each version representing a unique methodology used to compile the national accounts data (for example, a difference between two time series versions could reflect a change in currency, a switch from 1968 SNA to 1993 SNA, a change in the office responsible for compiling national accounts, etc.). These time series versions may not be comparable, especially when a country has shifted from the 1968 SNA to 1993 SNA or 2008 SNA. When a single time series version does not exist for the entire period (1970 to t-1), UNSD uses estimation procedures to backcast the most recently reported time series version. </p>\n<p>Backcasting is only performed when time series overlap for at least one year. The overlapping year is used to create a ratio; this ratio is then applied backwards to the previous time series version. If there is a change of fiscal year between two official data time series, the older series are converted to the fiscal year type of the most recent time series prior to backcasting. UNSD uses the same backcasting methods when official country constant price time series versions include multiple base years or when constant price time series versions are reported as constant prices of the previous year (CPPY). CPPY data are backcasted by using the officially reported current price data and the officially reported constant price data. The data are backcasted into a single series with a fixed base year. </p>\n<p>The population estimates from the United Nations Population Division may be different from country-produce estimates as the former include analysis carried out to take into account deficiencies such as incompleteness of coverage, lack of timeliness and errors in the reporting or coding of the basic information and to establish past population trends by resolving the inconsistencies affecting the basic data.</p>",
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            "timestamp": "2022-04-09T01:54:24.364797+02:00",
            "action": 59,
            "target": "<p><strong>Data availability:</strong></p>\n<p>National statistics offices, central banks or national agencies responsible for compiling official national accounts estimates for a country or area.</p>\n<p><strong>Time series:</strong></p>\n<p>Annual data from 1970 to 2020 are available. </p>\n<p><strong>Disaggregation:</strong></p>\n<p>It is possible to disaggregate the country data by region, if countries can make available the underlying</p>\n<p>regional data which are consistent with the national accounts data to perform the disaggregation.</p>",
            "old": "<p><strong>Data availability:</strong></p>\n<p>National statistics offices, central banks or national agencies responsible for compiling official national accounts estimates for a country or area</p>\n<p><strong>Time series:</strong></p>\n<p>Annual data from 1970 to 2019 are available. </p>\n<p><strong>Disaggregation:</strong></p>\n<p>It is possible to disaggregate the country data by region, if countries can make available the underlying</p>\n<p>regional data which are consistent with the national accounts data to perform the disaggregation.</p>",
            "details": {
                "state": 100,
                "source": "<p><strong>Data availability:</strong></p>\n<p>National statistics offices, central banks or national agencies responsible for compiling official national accounts estimates for a country or area.</p>\n<p><strong>Time series:</strong></p>\n<p>Annual data from 1970 to 2020 are available. </p>\n<p><strong>Disaggregation:</strong></p>\n<p>It is possible to disaggregate the country data by region, if countries can make available the underlying</p>\n<p>regional data which are consistent with the national accounts data to perform the disaggregation.</p>",
                "old_state": 100
            },
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            "timestamp": "2022-04-09T01:54:24.364726+02:00",
            "action": 59,
            "target": "<ul>\n  <li>GDP: National Accounts Statistics: Main Aggregates and Detailed Tables, 2020 See <a href=\"https://unstats.un.org/unsd/nationalaccount/pubsDB.asp?pType=3\" target=\"_blank\">https://unstats.un.org/unsd/nationalaccount/pubsDB.asp?pType=3</a> </li>\n</ul>\n<p> </p>\n<ul>\n  <li>Population: United Nations Demographic Yearbook </li>\n</ul>\n<p>See: https://unstats.un.org/unsd/demographic-social/products/dyb/dybsets/2020.pdf</p>\n<p> </p>\n<ul>\n  <li>GDP: 2008 SNA </li>\n</ul>\n<p>See <a href=\"https://unstats.un.org/unsd/nationalaccount/docs/SNA2008.pdf\" target=\"_blank\">https://unstats.un.org/unsd/nationalaccount/docs/SNA2008.pdf</a> </p>\n<p> </p>\n<ul>\n  <li>Population: Principles and Recommendations for Population and Housing Censuses See <a href=\"https://unstats.un.org/unsd/publication/seriesM/Series_M67rev3en.pdf\" target=\"_blank\">https://unstats.un.org/unsd/publication/seriesM/Series_M67rev3en.pdf</a> </li>\n</ul>",
            "old": "<ul>\n  <li>GDP: National Accounts Statistics: Main Aggregates and Detailed Tables, 2019 See <a href=\"https://unstats.un.org/unsd/nationalaccount/pubsDB.asp?pType=3\" target=\"_blank\"><u>https://unstats.un.org/unsd/nationalaccount/pubsDB.asp?pType=3</u></a> </li>\n</ul>\n<p> </p>\n<ul>\n  <li>Population: United Nations Demographic Yearbook </li>\n</ul>\n<p>See: <u>https://unstats.un.org/unsd/demographic-social/products/dyb/dybsets/2019.pdf</u></p>\n<p> </p>\n<ul>\n  <li>GDP: 2008 SNA </li>\n</ul>\n<p>See <a href=\"https://unstats.un.org/unsd/nationalaccount/docs/SNA2008.pdf\" target=\"_blank\"><u>https://unstats.un.org/unsd/nationalaccount/docs/SNA2008.pdf</u></a> </p>\n<p> </p>\n<ul>\n  <li>Population: Principles and Recommendations for Population and Housing Censuses See<u> </u><a href=\"https://unstats.un.org/unsd/publication/seriesM/Series_M67rev3en.pdf\" target=\"_blank\"><u>https://unstats.un.org/unsd/publication/seriesM/Series_M67rev3en.pdf</u></a> </li>\n</ul>",
            "details": {
                "state": 100,
                "source": "<ul>\n  <li>GDP: National Accounts Statistics: Main Aggregates and Detailed Tables, 2020 See <a href=\"https://unstats.un.org/unsd/nationalaccount/pubsDB.asp?pType=3\" target=\"_blank\">https://unstats.un.org/unsd/nationalaccount/pubsDB.asp?pType=3</a> </li>\n</ul>\n<p> </p>\n<ul>\n  <li>Population: United Nations Demographic Yearbook </li>\n</ul>\n<p>See: https://unstats.un.org/unsd/demographic-social/products/dyb/dybsets/2020.pdf</p>\n<p> </p>\n<ul>\n  <li>GDP: 2008 SNA </li>\n</ul>\n<p>See <a href=\"https://unstats.un.org/unsd/nationalaccount/docs/SNA2008.pdf\" target=\"_blank\">https://unstats.un.org/unsd/nationalaccount/docs/SNA2008.pdf</a> </p>\n<p> </p>\n<ul>\n  <li>Population: Principles and Recommendations for Population and Housing Censuses See <a href=\"https://unstats.un.org/unsd/publication/seriesM/Series_M67rev3en.pdf\" target=\"_blank\">https://unstats.un.org/unsd/publication/seriesM/Series_M67rev3en.pdf</a> </li>\n</ul>",
                "old_state": 100
            },
            "id": 23102248,
            "action_name": "String updated in the repository",
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        },
        {
            "unit": "https://hosted.weblate.org/api/units/29682792/?format=api",
            "component": "https://hosted.weblate.org/api/components/sdg-metadata/8-1-1/?format=api",
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            "user": null,
            "author": null,
            "timestamp": "2022-04-09T01:54:24.364658+02:00",
            "action": 59,
            "target": "<p>For each year, the real GDP and population estimates for each country or area are summed up to derive the regional and global aggregates. The regional and global aggregates are then divided by the corresponding population to derive the regional and global real GDP per capita estimates. These estimates are then used to calculate the annual growth rates in regional and global real GDP per capita using the formula described above.</p>",
            "old": "<p>For each year, the real GDP and population estimates for each country or area are summed up to derive the regional and global aggregates. The regional and global aggregates are then divided by the corresponding population to derive the regional and global real GDP per capita estimates. These estimates are then used to calculate the annual growth rates in regional and global real GDP per capita using the formula as described above.</p>",
            "details": {
                "state": 100,
                "source": "<p>For each year, the real GDP and population estimates for each country or area are summed up to derive the regional and global aggregates. The regional and global aggregates are then divided by the corresponding population to derive the regional and global real GDP per capita estimates. These estimates are then used to calculate the annual growth rates in regional and global real GDP per capita using the formula described above.</p>",
                "old_state": 100
            },
            "id": 23102247,
            "action_name": "String updated in the repository",
            "url": "https://hosted.weblate.org/api/changes/23102247/?format=api"
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        {
            "unit": "https://hosted.weblate.org/api/units/29682789/?format=api",
            "component": "https://hosted.weblate.org/api/components/sdg-metadata/8-1-1/?format=api",
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            "user": null,
            "author": null,
            "timestamp": "2022-04-09T01:54:24.364576+02:00",
            "action": 59,
            "target": "<ul>\n  <li><strong>At country level</strong></li>\n</ul>\n<p>When a full set of official annual GDP data is not available, estimation procedures are employed to obtain estimates for the entire time series. When full data are not available, a hierarchy of other data sources is used to gather information on the national accounts of a country or area. The data gathered are then either used directly or estimation procedures are applied to obtain the annual GDP data.</p>\n<p>If official data are not available, the selection of data sources is based on following hierarchy:</p>\n<ul>\n  <li>\n    <ol>\n      <li>Official publications and websites of national statistical offices, central banks or relevant government ministries;</li>\n      <li>Official statistics disseminated by Eurostat, European Central Bank and the Organization for Economic Cooperation and Development (OECD) for their members;</li>\n      <li>Information provided by Permanent Missions to the United Nations;</li>\n      <li>Economic surveys and estimates prepared by United Nations&#x2019; Regional Economic Commissions (i.e. UNECE, ECLAC, ESCAP, UNECA and ESCWA);</li>\n      <li>Publications of international organizations with a strong focus on statistical data collection (including regional development banks). The most common sources used for their respective countries are listed below: Asia: Asian Development Bank, ASEAN, Arab Monetary Fund, Secretariat of the Pacific Community (SPC) Africa: African Development Bank, Afristat, Banque des &#xC9;tats de l&#x2019;Afrique Centrale (BEAC), Union &#xC9;conomique Mon&#xE9;taire Ouest Africain (UEMOA) Americas: CARICOM, Caribbean Development Bank, Eastern Caribbean Central Bank (ECCB) Other: OECD for non-member countries Statistical Committee of the Commonwealth of Independent States.</li>\n      <li>Estimates and indicators from other international organizations. The most common sources used are: the International Monetary Fund (IMF) and the World Bank;</li>\n      <li>Publications or websites of specialized groups, the most common sources used are: the Gulf Cooperation Council, the Asia-Pacific Economic Cooperation (APEC), the Committee of Central Bank Governors in SADC; the Islamic Development Bank, and the Statistical Training Centre for Islamic Countries;</li>\n      <li>Economic data from commercial providers and other sources, the most common sources used are: the Economic Intelligence Unit and the United States Central Intelligence Agency;</li>\n      <li>Information from neighbouring countries where no alternative source is available (Switzerland for Liechtenstein; France for Monaco; Italy for San Marino; Spain for Andorra; and some Pacific Islands for other Pacific Islands);</li>\n    </ol>\n  </li>\n</ul>\n<p>The estimation methods involved in preparing the GDP estimates using sources other than official data include trend extrapolation, using appropriate indices for inflating or deflating relevant data series, and share distribution of GDP. A hierarchical assessment is followed to determine which method should be used. Effort is made to keep data estimation methods consistent from year to year.</p>\n<ul>\n  <li><strong>At regional and global levels</strong></li>\n</ul>\n<p>After the missing real GDP country or area data are imputed using the methods as described above, they are summed up to derive the respective regional or global aggregates and then divided by the corresponding population data to obtain the regional or global real GDP per capita. After that, annual growth rates in regional or global real GDP per capita are calculated using the formula described above.</p>",
            "old": "<ul>\n  <li><strong>At country level</strong></li>\n</ul>\n<p>When a full set of official annual GDP data is not available, estimation procedures are employed to obtain estimates for the entire time series. When full data are not available, a hierarchy of other data sources is used to gather information on the national accounts of a country or area. The data gathered are then either used directly or estimation procedures are applied to obtain the annual GDP data.</p>\n<p>If official data are not available, the selection of data sources is based on following hierarchy:</p>\n<ul>\n  <li>\n    <ol>\n      <li>Official publications and websites of national statistical offices, central banks or relevant government ministries;</li>\n      <li>Official statistics disseminated by Eurostat, European Central Bank and the Organization for Economic Cooperation and Development (OECD) for their members;</li>\n      <li>Information provided by Permanent Missions to the United Nations;</li>\n      <li>Economic surveys and estimates prepared by United Nations&#x2019; Regional Economic Commissions (i.e. UNECE, ECLAC, ESCAP, UNECA and ESCWA);</li>\n      <li>Publications of international organizations with a strong focus on statistical data collection (including regional development banks). The most common sources used for their respective countries are listed below: Asia: Asian Development Bank, ASEAN, Arab Monetary Fund, Secretariat of the Pacific Community (SPC) Africa: African Development Bank, Afristat, Banque des Etats de l&#x2019;Afrique Centrale (BEAC), Union Economique Monetaire Ouest Africain (UEMOA) Americas: CARICOM, Caribbean Development Bank, Eastern Caribbean Central Bank (ECCB) Other: OECD for non-member countries Statistical Committee of the Commonwealth of Independent States.</li>\n      <li>Estimates and indicators from other international organizations. The most common sources used are: the International Monetary Fund (IMF) and the World Bank;</li>\n      <li>Publications or websites of specialized groups, the most common sources used are: the Gulf Cooperation Council, the Asia-Pacific Economic Cooperation (APEC), the Committee of Central Bank Governors in SADC; the Islamic Development Bank, and the Statistical Training Centre for Islamic Countries;</li>\n      <li>Economic data from commercial providers and other sources, the most common sources used are: the Economic Intelligence Unit and the United States Central Intelligence Agency;</li>\n      <li>Information from neighbouring countries where no alternative source is available (Switzerland for Liechtenstein; France for Monaco; Italy for San Marino; Spain for Andorra; and some Pacific Islands for other Pacific Islands);</li>\n    </ol>\n  </li>\n</ul>\n<p>The estimation methods involved in preparing the GDP estimates using sources other than official data include trend extrapolation, using appropriate indices for inflating or deflating relevant data series, and share distribution of GDP. A hierarchical assessment is followed to determine which method should be used. Effort is made to keep data estimation methods consistent from year to year.</p>\n<ul>\n  <li><strong>At regional and global levels</strong></li>\n</ul>\n<p>After the missing real GDP country or area data are imputed using the methods as described above, they are summed up to derive the respective regional or global aggregates and then divided by the corresponding population data to obtain the regional or global real GDP per capita. After that, annual growth rates in regional or global real GDP per capita are calculated using the formula described above.</p>",
            "details": {
                "state": 100,
                "source": "<ul>\n  <li><strong>At country level</strong></li>\n</ul>\n<p>When a full set of official annual GDP data is not available, estimation procedures are employed to obtain estimates for the entire time series. When full data are not available, a hierarchy of other data sources is used to gather information on the national accounts of a country or area. The data gathered are then either used directly or estimation procedures are applied to obtain the annual GDP data.</p>\n<p>If official data are not available, the selection of data sources is based on following hierarchy:</p>\n<ul>\n  <li>\n    <ol>\n      <li>Official publications and websites of national statistical offices, central banks or relevant government ministries;</li>\n      <li>Official statistics disseminated by Eurostat, European Central Bank and the Organization for Economic Cooperation and Development (OECD) for their members;</li>\n      <li>Information provided by Permanent Missions to the United Nations;</li>\n      <li>Economic surveys and estimates prepared by United Nations&#x2019; Regional Economic Commissions (i.e. UNECE, ECLAC, ESCAP, UNECA and ESCWA);</li>\n      <li>Publications of international organizations with a strong focus on statistical data collection (including regional development banks). The most common sources used for their respective countries are listed below: Asia: Asian Development Bank, ASEAN, Arab Monetary Fund, Secretariat of the Pacific Community (SPC) Africa: African Development Bank, Afristat, Banque des &#xC9;tats de l&#x2019;Afrique Centrale (BEAC), Union &#xC9;conomique Mon&#xE9;taire Ouest Africain (UEMOA) Americas: CARICOM, Caribbean Development Bank, Eastern Caribbean Central Bank (ECCB) Other: OECD for non-member countries Statistical Committee of the Commonwealth of Independent States.</li>\n      <li>Estimates and indicators from other international organizations. The most common sources used are: the International Monetary Fund (IMF) and the World Bank;</li>\n      <li>Publications or websites of specialized groups, the most common sources used are: the Gulf Cooperation Council, the Asia-Pacific Economic Cooperation (APEC), the Committee of Central Bank Governors in SADC; the Islamic Development Bank, and the Statistical Training Centre for Islamic Countries;</li>\n      <li>Economic data from commercial providers and other sources, the most common sources used are: the Economic Intelligence Unit and the United States Central Intelligence Agency;</li>\n      <li>Information from neighbouring countries where no alternative source is available (Switzerland for Liechtenstein; France for Monaco; Italy for San Marino; Spain for Andorra; and some Pacific Islands for other Pacific Islands);</li>\n    </ol>\n  </li>\n</ul>\n<p>The estimation methods involved in preparing the GDP estimates using sources other than official data include trend extrapolation, using appropriate indices for inflating or deflating relevant data series, and share distribution of GDP. A hierarchical assessment is followed to determine which method should be used. Effort is made to keep data estimation methods consistent from year to year.</p>\n<ul>\n  <li><strong>At regional and global levels</strong></li>\n</ul>\n<p>After the missing real GDP country or area data are imputed using the methods as described above, they are summed up to derive the respective regional or global aggregates and then divided by the corresponding population data to obtain the regional or global real GDP per capita. After that, annual growth rates in regional or global real GDP per capita are calculated using the formula described above.</p>",
                "old_state": 100
            },
            "id": 23102246,
            "action_name": "String updated in the repository",
            "url": "https://hosted.weblate.org/api/changes/23102246/?format=api"
        },
        {
            "unit": "https://hosted.weblate.org/api/units/43797984/?format=api",
            "component": "https://hosted.weblate.org/api/components/sdg-metadata/8-1-1/?format=api",
            "translation": "https://hosted.weblate.org/api/translations/sdg-metadata/8-1-1/en/?format=api",
            "user": null,
            "author": null,
            "timestamp": "2022-04-09T01:54:24.364502+02:00",
            "action": 59,
            "target": "<p>The current and constant price GDP series are converted into US dollars by applying the corresponding market exchange rates as reported by the International Monetary Fund (IMF). When these conversion rates are not available, other IMF rates are used (official rates or principal rates). For countries whose exchange rates are not reported by the IMF, the annual average of United Nations operational rates of exchange (UNOPs) is applied. The UNOPs are conversion rates that are applied in official transactions of the United Nations with these countries. These exchange rates are based on official, commercial and/or tourist rates of exchange. </p>\n<p>In cases where a country experiences considerable distortion in the conversion rates, the UNSD uses price-adjusted rates of exchange (PARE) as an alternative to the exchange rates reported by the IMF or UN operational rates of exchange. The conversion based on PARE corrects the distorting effects of uneven price changes that are not well reflected in the other conversion rates. Consequently, unrealistic levels in GDP and other national accounts aggregates expressed in US Dollars may have been adjusted for certain time periods to improve the economic analysis at national, regional and local levels. </p>\n<p>The constant-price GDP series for each country is then divided by its population to obtain its real GDP per capita. </p>\n<p> </p>\n<p>More information on the methodology to estimate the data is available on <a href=\"https://unstats.un.org/unsd/snaama/assets/pdf/methodology.pdf\">https://unstats.un.org/unsd/snaama/assets/pdf/methodology.pdf</a> </p>",
            "old": "<p>The current and constant price GDP series are converted into US dollars by applying the corresponding market exchange rates as reported by the International Monetary Fund (IMF). When these conversion rates are not available other IMF rates are used (official rates or principal rates). For countries whose exchange rates are not reported by the IMF, the annual average of United Nations operational rates of exchange (UNOPs) is applied. The UNOPs are conversion rates that are applied in official transactions of the United Nations with these countries. These exchange rates are based on official, commercial and/or tourist rates of exchange. </p>\n<p>In cases where a country experiences considerable distortion in the conversion rates, the UNSD uses price-adjusted rates of exchange (PARE) as an alternative to the exchange rates reported by the IMF or UN operational rates of exchange. The conversion based on PARE corrects the distorting effects of uneven price changes that are not well reflected in the other conversion rates. Consequently, unrealistic levels in GDP and other national accounts aggregates expressed in US Dollars may have been adjusted for certain time periods to improve the economic analysis at national, regional and local levels. </p>\n<p>The constant-price GDP series for each country is then divided by its population to obtain its real GDP per capita. </p>\n<p> </p>\n<p>More information on the methodology to estimate the data is available on https://unstats.un.org/unsd/snaama/assets/pdf/methodology.pdf </p>",
            "details": {
                "state": 100,
                "source": "<p>The current and constant price GDP series are converted into US dollars by applying the corresponding market exchange rates as reported by the International Monetary Fund (IMF). When these conversion rates are not available, other IMF rates are used (official rates or principal rates). For countries whose exchange rates are not reported by the IMF, the annual average of United Nations operational rates of exchange (UNOPs) is applied. The UNOPs are conversion rates that are applied in official transactions of the United Nations with these countries. These exchange rates are based on official, commercial and/or tourist rates of exchange. </p>\n<p>In cases where a country experiences considerable distortion in the conversion rates, the UNSD uses price-adjusted rates of exchange (PARE) as an alternative to the exchange rates reported by the IMF or UN operational rates of exchange. The conversion based on PARE corrects the distorting effects of uneven price changes that are not well reflected in the other conversion rates. Consequently, unrealistic levels in GDP and other national accounts aggregates expressed in US Dollars may have been adjusted for certain time periods to improve the economic analysis at national, regional and local levels. </p>\n<p>The constant-price GDP series for each country is then divided by its population to obtain its real GDP per capita. </p>\n<p> </p>\n<p>More information on the methodology to estimate the data is available on <a href=\"https://unstats.un.org/unsd/snaama/assets/pdf/methodology.pdf\">https://unstats.un.org/unsd/snaama/assets/pdf/methodology.pdf</a> </p>",
                "old_state": 100
            },
            "id": 23102245,
            "action_name": "String updated in the repository",
            "url": "https://hosted.weblate.org/api/changes/23102245/?format=api"
        },
        {
            "unit": "https://hosted.weblate.org/api/units/29682787/?format=api",
            "component": "https://hosted.weblate.org/api/components/sdg-metadata/8-1-1/?format=api",
            "translation": "https://hosted.weblate.org/api/translations/sdg-metadata/8-1-1/en/?format=api",
            "user": null,
            "author": null,
            "timestamp": "2022-04-09T01:54:24.364403+02:00",
            "action": 59,
            "target": "<p>The annual growth rate of real Gross Domestic Product (GDP) per capita is calculated as follows:</p>\n<ol>\n  <li>Convert annual real GDP in domestic currency at 2015 prices for a country or area to US dollars at 2015 prices using the 2015 exchange rates.</li>\n  <li>Divide the result by the population of the country or area to obtain annual real GDP per capita in constant US dollars at 2015 prices.</li>\n  <li>Calculate the annual growth rate of real GDP per capita in year t+1 using the following formula: <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n      <mfrac>\n        <mrow>\n          <msub>\n            <mrow>\n              <mi>G</mi>\n            </mrow>\n            <mrow>\n              <mi>t</mi>\n              <mo>+</mo>\n              <mn>1</mn>\n            </mrow>\n          </msub>\n          <mo>-</mo>\n          <msub>\n            <mrow>\n              <mi>G</mi>\n            </mrow>\n            <mrow>\n              <mi>t</mi>\n            </mrow>\n          </msub>\n        </mrow>\n        <mrow>\n          <msub>\n            <mrow>\n              <mi>G</mi>\n            </mrow>\n            <mrow>\n              <mi>t</mi>\n            </mrow>\n          </msub>\n        </mrow>\n      </mfrac>\n      <mo>&#xD7;</mo>\n      <mn>100</mn>\n    </math>, where G<sub>t+1</sub> is the real GDP per capita in 2015 US dollars in year t+1 and G<sub>t</sub> is the real GDP per capita in 2015 US dollars in year t.</li>\n</ol>",
            "old": "<p>The annual growth rate of real Gross Domestic Product (GDP) per capita is calculated as follows:</p>\n<ol>\n  <li>Convert annual real GDP in domestic currency at 2015 prices for a country or area to US dollars at 2015 prices using the 2015 exchange rates.</li>\n  <li>Divide the result by the population of the country or area to obtain annual real GDP per capita in constant US dollars at 2015 prices.</li>\n  <li>Calculate the annual growth rate of real GDP per capita in year t+1 using the following formula: [(G(t+1) &#x2013; G(t))/G(t)] x 100, where G(t+1) is real GDP per capita in 2015 US dollars in year t+1 and G(t) is real GDP per capita in 2015 US dollars in year t.</li>\n</ol>",
            "details": {
                "state": 100,
                "source": "<p>The annual growth rate of real Gross Domestic Product (GDP) per capita is calculated as follows:</p>\n<ol>\n  <li>Convert annual real GDP in domestic currency at 2015 prices for a country or area to US dollars at 2015 prices using the 2015 exchange rates.</li>\n  <li>Divide the result by the population of the country or area to obtain annual real GDP per capita in constant US dollars at 2015 prices.</li>\n  <li>Calculate the annual growth rate of real GDP per capita in year t+1 using the following formula: <math xmlns=\"http://www.w3.org/1998/Math/MathML\">\n      <mfrac>\n        <mrow>\n          <msub>\n            <mrow>\n              <mi>G</mi>\n            </mrow>\n            <mrow>\n              <mi>t</mi>\n              <mo>+</mo>\n              <mn>1</mn>\n            </mrow>\n          </msub>\n          <mo>-</mo>\n          <msub>\n            <mrow>\n              <mi>G</mi>\n            </mrow>\n            <mrow>\n              <mi>t</mi>\n            </mrow>\n          </msub>\n        </mrow>\n        <mrow>\n          <msub>\n            <mrow>\n              <mi>G</mi>\n            </mrow>\n            <mrow>\n              <mi>t</mi>\n            </mrow>\n          </msub>\n        </mrow>\n      </mfrac>\n      <mo>&#xD7;</mo>\n      <mn>100</mn>\n    </math>, where G<sub>t+1</sub> is the real GDP per capita in 2015 US dollars in year t+1 and G<sub>t</sub> is the real GDP per capita in 2015 US dollars in year t.</li>\n</ol>",
                "old_state": 100
            },
            "id": 23102244,
            "action_name": "String updated in the repository",
            "url": "https://hosted.weblate.org/api/changes/23102244/?format=api"
        },
        {
            "unit": "https://hosted.weblate.org/api/units/29682781/?format=api",
            "component": "https://hosted.weblate.org/api/components/sdg-metadata/8-1-1/?format=api",
            "translation": "https://hosted.weblate.org/api/translations/sdg-metadata/8-1-1/en/?format=api",
            "user": null,
            "author": null,
            "timestamp": "2022-04-09T01:54:24.364335+02:00",
            "action": 59,
            "target": "<p>Although countries or areas calculate GDP using the common principles and recommendations in the United Nations System of National Accounts (SNA), there are still problems in international comparability of GDP estimates. These include:</p>\n<ol>\n  <li>Different versions of the SNA (for example, 1968, 1993 or 2008) countries or areas use in calculating their GDP estimates.</li>\n  <li>Different degree of coverage of informal and non-observed economic activities in the GDP estimates.</li>\n</ol>\n<p>Further, as a necessary condition to being a key economic performance indicator of sustainable development, one of the often-cited limitations of GDP is that it does not account for the social and environmental costs of production. It is designed as a measure of the level of overall well-being. For example, growth in real GDP per capita reveals nothing concerning energy and material interactions with the environment.</p>",
            "old": "<p>Although countries or areas calculate GDP using the common principles and recommendations in the United Nations System of National Accounts (SNA), there are still problems in international comparability of GDP estimates. These include:</p>\n<ol>\n  <li>Different versions of the SNA (for example, 1968, 1993 or 2008) countries or areas use in calculating their GDP estimates</li>\n  <li>Different degree of coverage of informal and non-observed economic activities in the GDP estimates</li>\n</ol>\n<p>Further, as a necessary condition to being a key economic performance indicator of sustainable development, one of the often-cited limitations of GDP is that it does not account for the social and environmental costs of production. It is designed as a measure of the level of overall well-being. For example, growth in real GDP per capita reveals nothing concerning energy and material interactions with the environment.</p>",
            "details": {
                "state": 100,
                "source": "<p>Although countries or areas calculate GDP using the common principles and recommendations in the United Nations System of National Accounts (SNA), there are still problems in international comparability of GDP estimates. These include:</p>\n<ol>\n  <li>Different versions of the SNA (for example, 1968, 1993 or 2008) countries or areas use in calculating their GDP estimates.</li>\n  <li>Different degree of coverage of informal and non-observed economic activities in the GDP estimates.</li>\n</ol>\n<p>Further, as a necessary condition to being a key economic performance indicator of sustainable development, one of the often-cited limitations of GDP is that it does not account for the social and environmental costs of production. It is designed as a measure of the level of overall well-being. For example, growth in real GDP per capita reveals nothing concerning energy and material interactions with the environment.</p>",
                "old_state": 100
            },
            "id": 23102243,
            "action_name": "String updated in the repository",
            "url": "https://hosted.weblate.org/api/changes/23102243/?format=api"
        },
        {
            "unit": "https://hosted.weblate.org/api/units/29682751/?format=api",
            "component": "https://hosted.weblate.org/api/components/sdg-metadata/8-1-1/?format=api",
            "translation": "https://hosted.weblate.org/api/translations/sdg-metadata/8-1-1/en/?format=api",
            "user": null,
            "author": null,
            "timestamp": "2022-04-09T01:54:24.364273+02:00",
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            "target": "<p>Real Gross Domestic Product (GDP) per capita is a proxy for the average standard of living of residents in</p>\n<p>a country or area.</p>\n<p>A positive percentage change in annual real GDP per capita can be interpreted as an increase in the average standard of living of the residents in a country or area.</p>",
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            "target": "<h2> Источники расхождений: </h2>\n<p> Различия со страновыми данными включают следующее: </p>\n<p>а. Официальные страновые данные обычно доступны только в национальной валюте. Оценочные данные по этому показателю даны в долларах США. </p>\n<p> b. Страны или территории могут не иметь полного набора официальных данных по ВВП. Данные по ВВП, оцененные СОООН, включают в себя вменения с использованием различных процедур оценки, как описано выше, для получения оценок для всего временного ряда.</p>\n<p>c. Официальные страновые данные часто представляются в виде нескольких наборов версий временных рядов, причем каждая версия представляет собой уникальную методологию, используемую для сбора данных национальных счетов (например, разница между двумя версиями временных рядов может отражать изменение валюты, переход с версии СНС 1968 года на версию СНС 1993 года, смена ведомства, отвечающего за составление национальных счетов, и т. д.). Эти версии временных рядов могут быть несопоставимы, особенно если страна перешла с СНС 1968 года на СНС 1993 года или на СНС 2008 года. Когда единая версия временного ряда не существует для всего периода (с 1970 по t-1), СОООН использует процедуры оценки для ретроспективного анализа последней представленной версии временного ряда. Ретроспективный пересчет выполняется только в том случае, если временные ряды перекрываются как минимум на протяжении одного года. Год перекрытия используется для создания соотношения; это соотношение затем применяется в обратном порядке к предыдущей версии временного ряда. Если есть изменение финансового года между двумя временными рядами официальных данных, то более старые ряды преобразуются в тип финансового года самого последнего временного ряда перед ретроспективным пересчетом. СОООН использует те же методы ретроспективного пересчета, когда официальные версии временных рядов в постоянных ценах страны включают несколько базисных лет или когда версии временных рядов в постоянных ценах представляются в постоянных ценах предыдущего года (ПЦПГ). Данные в ПЦПГ ретроспективно пересчитываются с использованием официально представленных данных в текущих ценах и официально представленных данных в постоянных ценах. Данные пересчитываются в единый ряд с фиксированным базовым годом.</p>\n<p> d. Демографические оценки Отдела народонаселения Организации Объединенных Наций могут отличаться от оценок, разработанных странами, поскольку первые включают анализ, проведенный для учета недостатков, таких как неполнота охвата, несвоевременность и ошибки в представлении или кодировании основной информации и для установления прошлых тенденций в области народонаселения путем устранения несоответствий, влияющих на основные данные. </p>",
            "old": "<h2> Источники расхождений: </h2>\n<p> Различия со страновыми данными включают следующее: </p>\n<p>а. Официальные страновые данные обычно доступны только в национальной валюте. Оценочные данные по этому показателю даны в долларах США. </p>\n<p> b. Страны или территории могут не иметь полного набора официальных данных по ВВП. Данные по ВВП, оцененные СОООН, включают в себя вменения с использованием различных процедур оценки, как описано выше, для получения оценок для всего временного ряда.</p>\n<p>c. Официальные страновые данные часто представляются в виде нескольких наборов версий временных рядов, причем каждая версия представляет собой уникальную методологию, используемую для сбора данных национальных счетов (например, разница между двумя версиями временных рядов может отражать изменение валюты, переход с версии СНС 1968 года на версию СНС 1993 года, смена ведомства, отвечающего за составление национальных счетов, и т. д.). Эти версии временных рядов могут быть несопоставимы, особенно если страна перешла с СНС 1968 года на СНС 1993 года или на СНС 2008 года. Когда единая версия временного ряда не существует для всего периода (с 1970 по t-1), СОООН использует процедуры оценки для ретроспективного анализа последней представленной версии временного ряда. Ретроспективный пересчет выполняется только в том случае, если временные ряды перекрываются как минимум на протяжении одного года. Год перекрытия используется для создания соотношения; это соотношение затем применяется в обратном порядке к предыдущей версии временного ряда. Если есть изменение финансового года между двумя временными рядами официальных данных, то более старые ряды преобразуются в тип финансового года самого последнего временного ряда перед ретроспективным пересчетом. СОООН использует те же методы ретроспективного пересчета, когда официальные версии временных рядов в постоянных ценах страны включают несколько базисных лет или когда версии временных рядов в постоянных ценах представляются в постоянных ценах предыдущего года (ПЦПГ). Данные в ПЦПГ ретроспективно пересчитываются с использованием официально представленных данных в текущих ценах и официально представленных данных в постоянных ценах. Данные пересчитываются в единый ряд с фиксированным базовым годом.</p>\n<p> d. Демографические оценки Отдела народонаселения Организации Объединенных Наций могут отличаться от оценок, разработанных странами, поскольку первые включают анализ, проведенный для учета недостатков, таких как неполнота охвата, несвоевременность и ошибки в представлении или кодировании основной информации и для установления прошлых тенденций в области народонаселения путем устранения несоответствий, влияющих на основные данные. </p>",
            "details": {
                "state": 10,
                "source": "<p><strong>Sources of discrepancies: </strong></p>\n<p>The differences with country data include the following: </p>\n<p> Official country data are typically available in domestic currency only. The data estimates for this indicator are in US dollars. </p>\n<p>Countries or areas may not have a full set of official GDP data. The GDP data estimated by UNSD include imputations using various estimation procedures as described above to obtain estimates for the entire time series. </p>\n<p>Official country data are often reported as multiple sets of time series versions, with each version representing a unique methodology used to compile the national accounts data (for example, a difference between two time series versions could reflect a change in currency, a switch from 1968 SNA to 1993 SNA, a change in the office responsible for compiling national accounts, etc.). These time series versions may not be comparable, especially when a country has shifted from the 1968 SNA to 1993 SNA or 2008 SNA. When a single time series version does not exist for the entire period (1970 to t-1), UNSD uses estimation procedures to backcast the most recently reported time series version. Backcasting is only performed when time series overlap for at least one year. The overlapping year is used to create a ratio; this ratio is then applied backwards to the previous time series version. If there is a change of fiscal year between two official data time series, the older series are converted to the fiscal year type of the most recent time series prior to backcasting. UNSD uses the same backcasting methods when official country constant price time series versions include multiple base years or when constant price time series versions are reported as constant prices of the previous year (CPPY). CPPY data are backcasted by using the officially reported current price data and the officially reported constant price data. The data are backcasted into a single series with a fixed base year. </p>\n<p>The population estimates from the United Nations Population Division may be different from country-produce estimates as the former include analysis carried out to take into account deficiencies such as incompleteness of coverage, lack of timeliness and errors in the reporting or coding of the basic information and to establish past population trends by resolving the inconsistencies affecting the basic data.</p>",
                "old_state": 10
            },
            "id": 17109060,
            "action_name": "String updated in the repository",
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        },
        {
            "unit": "https://hosted.weblate.org/api/units/29683056/?format=api",
            "component": "https://hosted.weblate.org/api/components/sdg-metadata/8-1-1/?format=api",
            "translation": "https://hosted.weblate.org/api/translations/sdg-metadata/8-1-1/ru/?format=api",
            "user": null,
            "author": null,
            "timestamp": "2022-02-10T22:08:58.514612+01:00",
            "action": 30,
            "target": "<p><strong>Sources of discrepancies: </strong></p>\n<p>The differences with country data include the following: </p>\n<p> Official country data are typically available in domestic currency only. The data estimates for this indicator are in US dollars. </p>\n<p>Countries or areas may not have a full set of official GDP data. The GDP data estimated by UNSD include imputations using various estimation procedures as described above to obtain estimates for the entire time series. </p>\n<p>Official country data are often reported as multiple sets of time series versions, with each version representing a unique methodology used to compile the national accounts data (for example, a difference between two time series versions could reflect a change in currency, a switch from 1968 SNA to 1993 SNA, a change in the office responsible for compiling national accounts, etc.). These time series versions may not be comparable, especially when a country has shifted from the 1968 SNA to 1993 SNA or 2008 SNA. When a single time series version does not exist for the entire period (1970 to t-1), UNSD uses estimation procedures to backcast the most recently reported time series version. Backcasting is only performed when time series overlap for at least one year. The overlapping year is used to create a ratio; this ratio is then applied backwards to the previous time series version. If there is a change of fiscal year between two official data time series, the older series are converted to the fiscal year type of the most recent time series prior to backcasting. UNSD uses the same backcasting methods when official country constant price time series versions include multiple base years or when constant price time series versions are reported as constant prices of the previous year (CPPY). CPPY data are backcasted by using the officially reported current price data and the officially reported constant price data. The data are backcasted into a single series with a fixed base year. </p>\n<p>The population estimates from the United Nations Population Division may be different from country-produce estimates as the former include analysis carried out to take into account deficiencies such as incompleteness of coverage, lack of timeliness and errors in the reporting or coding of the basic information and to establish past population trends by resolving the inconsistencies affecting the basic data.</p>",
            "old": "<p>Sources of discrepancies: </p>\n<p>The differences with country data include the following: </p>\n<p> Official country data are typically available in domestic currency only. The data estimates for this indicator are in US dollars. </p>\n<p>Countries or areas may not have a full set of official GDP data. The GDP data estimated by UNSD include imputations using various estimation procedures as described above to obtain estimates for the entire time series. </p>\n<p>Official country data are often reported as multiple sets of time series versions, with each version representing a unique methodology used to compile the national accounts data (for example, a difference between two time series versions could reflect a change in currency, a switch from 1968 SNA to 1993 SNA, a change in the office responsible for compiling national accounts, etc.). These time series versions may not be comparable, especially when a country has shifted from the 1968 SNA to 1993 SNA or 2008 SNA. When a single time series version does not exist for the entire period (1970 to t-1), UNSD uses estimation procedures to backcast the most recently reported time series version. Backcasting is only performed when time series overlap for at least one year. The overlapping year is used to create a ratio; this ratio is then applied backwards to the previous time series version. If there is a change of fiscal year between two official data time series, the older series are converted to the fiscal year type of the most recent time series prior to backcasting. UNSD uses the same backcasting methods when official country constant price time series versions include multiple base years or when constant price time series versions are reported as constant prices of the previous year (CPPY). CPPY data are backcasted by using the officially reported current price data and the officially reported constant price data. The data are backcasted into a single series with a fixed base year. </p>\n<p>The population estimates from the United Nations Population Division may be different from country-produce estimates as the former include analysis carried out to take into account deficiencies such as incompleteness of coverage, lack of timeliness and errors in the reporting or coding of the basic information and to establish past population trends by resolving the inconsistencies affecting the basic data.</p>",
            "details": {},
            "id": 17109059,
            "action_name": "Source string changed",
            "url": "https://hosted.weblate.org/api/changes/17109059/?format=api"
        },
        {
            "unit": "https://hosted.weblate.org/api/units/29683055/?format=api",
            "component": "https://hosted.weblate.org/api/components/sdg-metadata/8-1-1/?format=api",
            "translation": "https://hosted.weblate.org/api/translations/sdg-metadata/8-1-1/ru/?format=api",
            "user": null,
            "author": null,
            "timestamp": "2022-02-10T22:08:58.514548+01:00",
            "action": 59,
            "target": "<h1> Доступность данных </h1>\n<h2> Описание: </h2>\n<p> Национальные статистические управления, центральные банки или национальные агентства, ответственные за составление официальных оценок национальных счетов для страны или территории </p>\n<h2> Временные ряды: </h2>\n<p> Доступны годовые данные с 1970 по 2018 год. </p>\n<h2> Дезагрегирование: </h2>\n<p> Можно дезагрегировать страновые данные по регионам, если для выполнения дезагрегирования страны могут предоставить базовые региональные данные, которые согласуются с данными национальных счетов. </p>",
            "old": "<h1> Доступность данных </h1>\n<h2> Описание: </h2>\n<p> Национальные статистические управления, центральные банки или национальные агентства, ответственные за составление официальных оценок национальных счетов для страны или территории </p>\n<h2> Временные ряды: </h2>\n<p> Доступны годовые данные с 1970 по 2018 год. </p>\n<h2> Дезагрегирование: </h2>\n<p> Можно дезагрегировать страновые данные по регионам, если для выполнения дезагрегирования страны могут предоставить базовые региональные данные, которые согласуются с данными национальных счетов. </p>",
            "details": {
                "state": 10,
                "source": "<p><strong>Data availability:</strong></p>\n<p>National statistics offices, central banks or national agencies responsible for compiling official national accounts estimates for a country or area</p>\n<p><strong>Time series:</strong></p>\n<p>Annual data from 1970 to 2019 are available. </p>\n<p><strong>Disaggregation:</strong></p>\n<p>It is possible to disaggregate the country data by region, if countries can make available the underlying</p>\n<p>regional data which are consistent with the national accounts data to perform the disaggregation.</p>",
                "old_state": 10
            },
            "id": 17109058,
            "action_name": "String updated in the repository",
            "url": "https://hosted.weblate.org/api/changes/17109058/?format=api"
        },
        {
            "unit": "https://hosted.weblate.org/api/units/29683055/?format=api",
            "component": "https://hosted.weblate.org/api/components/sdg-metadata/8-1-1/?format=api",
            "translation": "https://hosted.weblate.org/api/translations/sdg-metadata/8-1-1/ru/?format=api",
            "user": null,
            "author": null,
            "timestamp": "2022-02-10T22:08:58.514489+01:00",
            "action": 30,
            "target": "<p><strong>Data availability:</strong></p>\n<p>National statistics offices, central banks or national agencies responsible for compiling official national accounts estimates for a country or area</p>\n<p><strong>Time series:</strong></p>\n<p>Annual data from 1970 to 2019 are available. </p>\n<p><strong>Disaggregation:</strong></p>\n<p>It is possible to disaggregate the country data by region, if countries can make available the underlying</p>\n<p>regional data which are consistent with the national accounts data to perform the disaggregation.</p>",
            "old": "<p>Data availability:</p>\n<p>National statistics offices, central banks or national agencies responsible for compiling official national accounts estimates for a country or area</p>\n<p>Time series:</p>\n<p>Annual data from 1970 to 2019 are available. </p>\n<p>Disaggregation:</p>\n<p>It is possible to disaggregate the country data by region, if countries can make available the underlying</p>\n<p>regional data which are consistent with the national accounts data to perform the disaggregation.</p>",
            "details": {},
            "id": 17109057,
            "action_name": "Source string changed",
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        },
        {
            "unit": "https://hosted.weblate.org/api/units/29683054/?format=api",
            "component": "https://hosted.weblate.org/api/components/sdg-metadata/8-1-1/?format=api",
            "translation": "https://hosted.weblate.org/api/translations/sdg-metadata/8-1-1/ru/?format=api",
            "user": null,
            "author": null,
            "timestamp": "2022-02-10T22:08:58.514425+01:00",
            "action": 59,
            "target": "<h2> Обеспечение качества: </h2>\n<p> Данные подвергаются процедуре валидации в соответствии с международными статистическими стандартами. Расхождения устраняются путем письменного общения со странами. </p>",
            "old": "<h2> Обеспечение качества: </h2>\n<p> Данные подвергаются процедуре валидации в соответствии с международными статистическими стандартами. Расхождения устраняются путем письменного общения со странами. </p>",
            "details": {
                "state": 10,
                "source": "<p>Data are validated in accordance with the international statistical standards. Discrepancies are resolved through written communication with countries.</p>",
                "old_state": 10
            },
            "id": 17109056,
            "action_name": "String updated in the repository",
            "url": "https://hosted.weblate.org/api/changes/17109056/?format=api"
        },
        {
            "unit": "https://hosted.weblate.org/api/units/29683053/?format=api",
            "component": "https://hosted.weblate.org/api/components/sdg-metadata/8-1-1/?format=api",
            "translation": "https://hosted.weblate.org/api/translations/sdg-metadata/8-1-1/ru/?format=api",
            "user": null,
            "author": null,
            "timestamp": "2022-02-10T22:08:58.514357+01:00",
            "action": 59,
            "target": "<h2> Доступные странам методы и руководства для составления данных на национальном уровне: </h2>\n<ul>\n  <li> ВВП: статистика национальных счетов: основные агрегаты и подробные таблицы, 2018 год. См. <a href=\"https://unstats.un.org/unsd/nationalaccount/pubsDB.asp?pType=3\"> https://unstats.un.org/unsd/nationalaccount/pubsDB.asp?pType=3 </a></li>\n  <li> Население: Демографический ежегодник Организации Объединенных Наций. См. <a\n ref=\"https://unstats.un.org/unsd/demographic-social/products/dyb/dybsets/2018.pdf\"> https://unstats.un.org/unsd/demographic-social/products/dyb/dybsets/2018.pdf </a> </li>\n  <li> ВВП: СНС 2008 года. См. <a href=\"https://unstats.un.org/unsd/nationalaccount/docs/SNA2008.pdf\">\nhttps://unstats.un.org/unsd/nationalaccount/docs/SNA2008.pdf </a> </li>\n  <li> Население: Принципы и рекомендации в отношении переписей населения и жилого фонда. См. <a href=\"https://unstats.un.org/unsd/publication/seriesM/Series_M67rev3en.pdf\"> https://unstats.un.org/unsd/publication/seriesM/Series_M67rev3en.pdf </a> </li>\n</ul>",
            "old": "<h2> Доступные странам методы и руководства для составления данных на национальном уровне: </h2>\n<ul>\n  <li> ВВП: статистика национальных счетов: основные агрегаты и подробные таблицы, 2018 год. См. <a href=\"https://unstats.un.org/unsd/nationalaccount/pubsDB.asp?pType=3\"> https://unstats.un.org/unsd/nationalaccount/pubsDB.asp?pType=3 </a></li>\n  <li> Население: Демографический ежегодник Организации Объединенных Наций. См. <a\n ref=\"https://unstats.un.org/unsd/demographic-social/products/dyb/dybsets/2018.pdf\"> https://unstats.un.org/unsd/demographic-social/products/dyb/dybsets/2018.pdf </a> </li>\n  <li> ВВП: СНС 2008 года. См. <a href=\"https://unstats.un.org/unsd/nationalaccount/docs/SNA2008.pdf\">\nhttps://unstats.un.org/unsd/nationalaccount/docs/SNA2008.pdf </a> </li>\n  <li> Население: Принципы и рекомендации в отношении переписей населения и жилого фонда. См. <a href=\"https://unstats.un.org/unsd/publication/seriesM/Series_M67rev3en.pdf\"> https://unstats.un.org/unsd/publication/seriesM/Series_M67rev3en.pdf </a> </li>\n</ul>",
            "details": {
                "state": 10,
                "source": "<ul>\n  <li>GDP: National Accounts Statistics: Main Aggregates and Detailed Tables, 2019 See <a href=\"https://unstats.un.org/unsd/nationalaccount/pubsDB.asp?pType=3\" target=\"_blank\"><u>https://unstats.un.org/unsd/nationalaccount/pubsDB.asp?pType=3</u></a> </li>\n</ul>\n<p> </p>\n<ul>\n  <li>Population: United Nations Demographic Yearbook </li>\n</ul>\n<p>See: <u>https://unstats.un.org/unsd/demographic-social/products/dyb/dybsets/2019.pdf</u></p>\n<p> </p>\n<ul>\n  <li>GDP: 2008 SNA </li>\n</ul>\n<p>See <a href=\"https://unstats.un.org/unsd/nationalaccount/docs/SNA2008.pdf\" target=\"_blank\"><u>https://unstats.un.org/unsd/nationalaccount/docs/SNA2008.pdf</u></a> </p>\n<p> </p>\n<ul>\n  <li>Population: Principles and Recommendations for Population and Housing Censuses See<u> </u><a href=\"https://unstats.un.org/unsd/publication/seriesM/Series_M67rev3en.pdf\" target=\"_blank\"><u>https://unstats.un.org/unsd/publication/seriesM/Series_M67rev3en.pdf</u></a> </li>\n</ul>",
                "old_state": 10
            },
            "id": 17109055,
            "action_name": "String updated in the repository",
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