{"id":566,"date":"2026-01-15T08:12:25","date_gmt":"2026-01-15T01:12:25","guid":{"rendered":"https:\/\/blog.datacore.vn\/?p=566"},"modified":"2026-01-15T08:25:37","modified_gmt":"2026-01-15T01:25:37","slug":"administrative-restructuring-in-vietnam-2025-through-the-lens-of-data-visualization","status":"publish","type":"post","link":"https:\/\/blog.datacore.vn\/en\/administrative-restructuring-in-vietnam-2025-through-the-lens-of-data-visualization\/","title":{"rendered":"Administrative Restructuring in Vietnam 2025 Through the Lens of Data Visualization"},"content":{"rendered":"\n

If you happened to compare two population charts side by side, you might notice something striking:
in 2024, Vietnam appears with its familiar 63 provinces and centrally governed cities<\/strong>, but in 2025, a similar chart shows only 34 administrative units<\/strong>.<\/p>\n\n\n\n

This is neither a data error nor missing information. It is the direct outcome of a large-scale administrative restructuring<\/strong> implemented nationwide.<\/p>\n\n\n\n

In this blog post, I aim to unpack the story behind that visualization<\/em>:
why the mergers occurred, what policy motivations drove them, and what insights we can extract from the resulting data. This is not merely a story about numbers\u2014it is a narrative about governance, demographic change, and national development strategy.<\/p>\n\n\n\n

To illustrate this transformation, we use a specialized visualization technique: the Radial Tree Map<\/strong>\u2014a circular, hierarchical diagram particularly well suited for administrative data.<\/p>\n\n\n\n

Why Use a Radial Tree Map for Administrative Data?<\/strong><\/p>\n\n\n\n

Several visualization types can represent hierarchical structures\u2014such as traditional tree diagrams, organizational charts, or geographic maps. However, the radial tree offers distinct advantages for this specific case.<\/p>\n\n\n\n

A Unified View of the Entire System<\/h3>\n\n\n\n

All provinces and cities\u2014before and after restructuring<\/em>\u2014are displayed within a single circular framework. This immediately conveys that:<\/p>\n\n\n\n

\n

The consolidation was a coordinated, nationwide reform<\/strong>, not a series of isolated provincial changes.<\/p>\n<\/blockquote>\n\n\n\n

\"\"<\/figure>\n\n\n\n

Bi\u1ec3u \u0111\u1ed3 th\u1ec3 hi\u1ec7n s\u1ef1 thay \u0111\u1ed5i t\u1ec9nh\/th\u00e0nh Vi\u1ec7t Nam trong n\u0103m 2025<\/em>
<\/p>\n\n\n\n

Regional Identification Through Color Encoding<\/h3>\n\n\n\n

The chart uses three distinct color palettes corresponding to Vietnam\u2019s major regions:<\/p>\n\n\n\n

    \n
  • Northern Vietnam<\/strong> \u2192 dark brown<\/li>\n\n\n\n
  • Central Vietnam<\/strong> \u2192 orange<\/li>\n\n\n\n
  • Southern Vietnam<\/strong> \u2192 yellow<\/li>\n<\/ul>\n\n\n\n

    With a single glance, viewers can identify which region experienced the most significant administrative changes.<\/p>\n\n\n\n

    Clear Hierarchical Structure<\/h3>\n\n\n\n

    The visualization is organized into three levels:<\/p>\n\n\n\n

      \n
    • Inner nodes<\/strong> \u2192 Region (North, Central, South)<\/li>\n\n\n\n
    • Middle nodes<\/strong> \u2192 Implementation milestone (here, 01 July 2025<\/em>, the effective date of mergers and renamings)<\/li>\n\n\n\n
    • Outer ring<\/strong> \u2192 Provinces and cities after restructuring<\/li>\n<\/ul>\n\n\n\n

      Conceptually, this structure resembles:<\/p>\n\n\n\n

      \u201cStanding at the center and observing the entire country unfold in three directions.\u201d
      <\/p>\n\n\n\n

      How to Read the Chart: Three Simple Steps<\/h4>\n\n\n\n

      Step 1: Identify the Region by Color<\/h3>\n\n\n\n
        \n
      • Yellow \u2192 South<\/li>\n\n\n\n
      • Orange \u2192 Central<\/li>\n\n\n\n
      • Brown \u2192 North<\/li>\n<\/ul>\n\n\n\n

        This is the fastest way to locate the province or city of interest.<\/p>\n\n\n\n

        Step 2: Follow the Connecting Paths Inward<\/h3>\n\n\n\n

        Each link reveals:<\/p>\n\n\n\n

          \n
        • Which regional group the new province belongs to<\/li>\n\n\n\n
        • How many former provinces or cities were merged to form it<\/li>\n<\/ul>\n\n\n\n

          Step 3: Locate Converging Nodes<\/h3>\n\n\n\n

          When multiple branches converge into a single outer node, it indicates a new administrative unit formed through consolidation<\/strong>.<\/p>\n\n\n\n

          Visual Examples and Key Observations<\/strong><\/h2>\n\n\n\n
          1. Regional Distribution<\/h5>\n\n\n\n
            \n
          • Northern Vietnam<\/strong> displays the highest density of nodes, reflecting its historically larger number of provinces.<\/li>\n\n\n\n
          • Central Vietnam<\/strong> appears more compact, occupying a smaller arc of the circle\u2014highlighting its comparatively lower administrative density.<\/li>\n\n\n\n
          • Southern Vietnam<\/strong>, marked in yellow, spans a wide arc, illustrating its broad geographic footprint and dynamic urban structure.<\/li>\n<\/ul>\n\n\n\n
            2. Administrative Changes: Mergers and Boundary Adjustments<\/h5>\n\n\n\n

            A notable example is the new Can Tho City<\/strong>, established through the merger of:<\/p>\n\n\n\n

              \n
            • Hau Giang Province<\/li>\n\n\n\n
            • Soc Trang Province<\/li>\n\n\n\n
            • The former Can Tho City<\/li>\n<\/ul>\n\n\n\n
              \"\"<\/figure>\n\n\n\n

              S\u1ef1 thay \u0111\u1ed5i t\u00ean\/s\u00e1t nh\u1eadp c\u1ee7a th\u00e0nh ph\u1ed1 C\u1ea7n Th\u01a1 (\u1ea3nh minh h\u1ecda)<\/em>
              <\/p>\n\n\n\n

              Interactive Features of the Radial Tree Map<\/strong><\/p>\n\n\n\n

              \u00a0\u00a0A key strength of the Radial Tree Map lies in its multi-level interactivity<\/strong>.<\/p>\n\n\n\n

                \n
              • Clicking on a province triggers a tooltip displaying essential information:
                province name, effective date, region, and number of child nodes.<\/li>\n\n\n\n
              • Clicking again expands the hierarchy, revealing:\n
                  \n
                • Original provinces<\/li>\n\n\n\n
                • Historical splits and mergers<\/li>\n\n\n\n
                • Associated timeline milestones<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n

                  This \u201clayer-peeling\u201d interaction allows users to explore complex administrative histories progressively<\/strong>, avoiding information overload while preserving logical continuity.<\/p>\n\n\n\n

                  Key Insights from the Visualization<\/h5>\n\n\n\n

                  The post-merger administrative structure of Vietnam after 01 July 2025<\/strong> highlights clear regional contrasts:<\/p>\n\n\n\n

                    \n
                  • Southern Vietnam<\/strong>, characterized by rapid urbanization, experienced the most significant consolidation\u2014reflecting efforts to streamline local governance and improve administrative efficiency.<\/li>\n\n\n\n
                  • Central Vietnam<\/strong> underwent more balanced adjustments, focusing on boundary rationalization and scale optimization.<\/li>\n\n\n\n
                  • Northern Vietnam<\/strong> saw fewer mergers, preserving many traditional provinces and demonstrating a comparatively stable administrative structure.<\/li>\n<\/ul>\n\n\n\n

                    These differences illustrate not only a region-specific policy approach<\/strong>, but also the distinct development priorities shaping Vietnam\u2019s administrative reform.<\/p>\n\n\n\n

                    Conclusion<\/h3>\n\n\n\n

                    The administrative restructuring effective 01 July 2025<\/strong> represents a major milestone in Vietnam\u2019s effort to streamline governance and enhance local administrative efficiency.<\/p>\n\n\n\n

                    While the scale and nature of change vary across regions, the common objective remains clear: building a more responsive, efficient, and development-oriented administrative system. These reforms lay a critical foundation for future socio-economic policies and reflect a strategic alignment between governance structures and regional development dynamics.<\/p>\n\n\n\n

                    <\/p>\n","protected":false},"excerpt":{"rendered":"

                    If you happened to compare two population charts side by side, you might notice something striking:in 2024, Vietnam appears with its familiar 63 provinces and centrally governed cities, but in 2025, a similar chart shows only 34 administrative units. This is neither a data error nor missing information. It is the direct outcome of a […]<\/p>\n","protected":false},"author":2,"featured_media":567,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","_swt_meta_header_display":false,"_swt_meta_footer_display":false,"_swt_meta_site_title_display":false,"_swt_meta_sticky_header":false,"_swt_meta_transparent_header":false,"footnotes":""},"categories":[6,1],"tags":[],"class_list":["post-566","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-chua-phan-loai"],"uagb_featured_image_src":{"full":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2025\/12\/image.png",920,797,false],"thumbnail":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2025\/12\/image-150x150.png",150,150,true],"medium":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2025\/12\/image-300x260.png",300,260,true],"medium_large":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2025\/12\/image-768x665.png",768,665,true],"large":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2025\/12\/image.png",920,797,false],"1536x1536":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2025\/12\/image.png",920,797,false],"2048x2048":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2025\/12\/image.png",920,797,false],"trp-custom-language-flag":["https:\/\/blog.datacore.vn\/wp-content\/uploads\/2025\/12\/image.png",14,12,false]},"uagb_author_info":{"display_name":"H\u01b0\u1eddng B\u00f9i","author_link":"https:\/\/blog.datacore.vn\/en\/author\/buihuong\/"},"uagb_comment_info":0,"uagb_excerpt":"If you happened to compare two population charts side by side, you might notice something striking:in 2024, Vietnam appears with its familiar 63 provinces and centrally governed cities, but in 2025, a similar chart shows only 34 administrative units. This is neither a data error nor missing information. It is the direct outcome of a…","_links":{"self":[{"href":"https:\/\/blog.datacore.vn\/en\/wp-json\/wp\/v2\/posts\/566","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.datacore.vn\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.datacore.vn\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.datacore.vn\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.datacore.vn\/en\/wp-json\/wp\/v2\/comments?post=566"}],"version-history":[{"count":4,"href":"https:\/\/blog.datacore.vn\/en\/wp-json\/wp\/v2\/posts\/566\/revisions"}],"predecessor-version":[{"id":611,"href":"https:\/\/blog.datacore.vn\/en\/wp-json\/wp\/v2\/posts\/566\/revisions\/611"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/blog.datacore.vn\/en\/wp-json\/wp\/v2\/media\/567"}],"wp:attachment":[{"href":"https:\/\/blog.datacore.vn\/en\/wp-json\/wp\/v2\/media?parent=566"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.datacore.vn\/en\/wp-json\/wp\/v2\/categories?post=566"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.datacore.vn\/en\/wp-json\/wp\/v2\/tags?post=566"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}