{"id":1007,"date":"2025-11-28T14:59:58","date_gmt":"2025-11-28T06:59:58","guid":{"rendered":"https:\/\/geography.mn\/olympiad\/?p=1007"},"modified":"2025-11-23T16:49:21","modified_gmt":"2025-11-23T08:49:21","slug":"2025-11-28-%d0%be%d0%bb%d0%be%d0%bd-%d1%83%d0%bb%d1%81%d1%8b%d0%bd-%d0%be%d0%bb%d0%b8%d0%bc%d0%bf%d0%b8%d0%b0%d0%b4%d1%8b%d0%bd-%d1%81%d1%83%d0%bd%d0%b3%d0%b0%d0%b0-6","status":"publish","type":"post","link":"https:\/\/geography.mn\/olympiad\/2025\/11\/28\/2025-11-28-%d0%be%d0%bb%d0%be%d0%bd-%d1%83%d0%bb%d1%81%d1%8b%d0%bd-%d0%be%d0%bb%d0%b8%d0%bc%d0%bf%d0%b8%d0%b0%d0%b4%d1%8b%d0%bd-%d1%81%d1%83%d0%bd%d0%b3%d0%b0%d0%b0-6\/","title":{"rendered":"2025.11.28 \u041e\u043b\u043e\u043d \u0443\u043b\u0441\u044b\u043d \u043e\u043b\u0438\u043c\u043f\u0438\u0430\u0434\u044b\u043d \u0441\u0443\u043d\u0433\u0430\u0430 6"},"content":{"rendered":"<h5><strong>Population Change in the Baltic Sea Region (2002\u20132008, 2009\u20132015)<\/strong><\/h5>\n<p><a href=\"https:\/\/geography.mn\/olympiad\/wp-content\/uploads\/2025\/11\/Total_population_change_Nordic_region_2002-2008_2009-2015.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-1015\" src=\"https:\/\/geography.mn\/olympiad\/wp-content\/uploads\/2025\/11\/Total_population_change_Nordic_region_2002-2008_2009-2015.png\" alt=\"\" width=\"558\" height=\"534\" srcset=\"https:\/\/geography.mn\/olympiad\/wp-content\/uploads\/2025\/11\/Total_population_change_Nordic_region_2002-2008_2009-2015.png 558w, https:\/\/geography.mn\/olympiad\/wp-content\/uploads\/2025\/11\/Total_population_change_Nordic_region_2002-2008_2009-2015-300x287.png 300w, https:\/\/geography.mn\/olympiad\/wp-content\/uploads\/2025\/11\/Total_population_change_Nordic_region_2002-2008_2009-2015-78x75.png 78w, https:\/\/geography.mn\/olympiad\/wp-content\/uploads\/2025\/11\/Total_population_change_Nordic_region_2002-2008_2009-2015-480x459.png 480w\" sizes=\"auto, (max-width:767px) 480px, 558px\" \/><\/a><\/p>\n<h6><\/h6>\n<h6 data-start=\"339\" data-end=\"363\">Q1. (2 points) Between 2002\u20132008 and 2009\u20132015, identify one region where the population trend clearly reversed. Explain the most likely human or physical factors behind this reversal.<\/h6>\n<h6 data-start=\"339\" data-end=\"363\">Q2. (2 points) Using both maps, evaluate whether population decline in the Baltic States is driven more by rural depopulation, ageing, or migration toward capital cities. Support your reasoning with specific map evidence.<\/h6>\n<h6 data-start=\"339\" data-end=\"363\">Q3. (2 points) Choose one country. Based on the spatial distribution of change, propose two policy actions that would realistically help stabilize population numbers in its declining regions. Explain why each action fits the spatial pattern.<\/h6>\n<h6 data-start=\"339\" data-end=\"363\">Q4. (2 points) Select two neighboring regions located across a national border. Compare their population trajectories and evaluate how differences in economic structure, labour mobility, or national policies might explain the contrast.<\/h6>\n<h6 data-start=\"339\" data-end=\"363\">Q5. (2 points)Identify one region experiencing strong growth and one showing deep decline. Compare them and analyze which geographic, economic, or demographic characteristics likely produce such opposite outcomes.<\/h6>\n<div class=\"forminator-ui forminator-custom-form forminator-custom-form-1011 forminator-design--default  forminator_ajax\" data-forminator-render=\"0\" data-form=\"forminator-module-1011\" data-uid=\"6a138bd4203e3\"><br\/><\/div><form\n\t\t\t\tid=\"forminator-module-1011\"\n\t\t\t\tclass=\"forminator-ui forminator-custom-form forminator-custom-form-1011 forminator-design--default  forminator_ajax\"\n\t\t\t\tmethod=\"post\"\n\t\t\t\tdata-forminator-render=\"0\"\n\t\t\t\tdata-form-id=\"1011\"\n\t\t\t\t data-color-option=\"theme\" data-design=\"default\" data-grid=\"open\" style=\"display: none;\"\n\t\t\t\tdata-uid=\"6a138bd4203e3\"\n\t\t\t><div role=\"alert\" aria-live=\"polite\" class=\"forminator-response-message forminator-error\" aria-hidden=\"true\"><\/div><div class=\"forminator-row\"><div id=\"name-1\" class=\"forminator-field-name forminator-col 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(2 points) Between 2002\u20132008 and 2009\u20132015, identify one region where the population trend clearly reversed. Explain<span class=\"excerpt-hellip\"> [\u2026]<\/span><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17],"tags":[],"class_list":["post-1007","post","type-post","status-publish","format-standard","hentry","category-sungaa-2026"],"_links":{"self":[{"href":"https:\/\/geography.mn\/olympiad\/wp-json\/wp\/v2\/posts\/1007","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geography.mn\/olympiad\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/geography.mn\/olympiad\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/geography.mn\/olympiad\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/geography.mn\/olympiad\/wp-json\/wp\/v2\/comments?post=1007"}],"version-history":[{"count":7,"href":"https:\/\/geography.mn\/olympiad\/wp-json\/wp\/v2\/posts\/1007\/revisions"}],"predecessor-version":[{"id":1019,"href":"https:\/\/geography.mn\/olympiad\/wp-json\/wp\/v2\/posts\/1007\/revisions\/1019"}],"wp:attachment":[{"href":"https:\/\/geography.mn\/olympiad\/wp-json\/wp\/v2\/media?parent=1007"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/geography.mn\/olympiad\/wp-json\/wp\/v2\/categories?post=1007"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/geography.mn\/olympiad\/wp-json\/wp\/v2\/tags?post=1007"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}