Worlds Tallest Buildings List v.2.0.0
100 Database Records
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Explore the 100 tallest completed buildings in the world in one clean, analysis-ready release. Each ranked record includes the building name, city, completed status,...
Release structure
Review the published tables, record coverage, and field names included with release 2.0.0.
Data dictionary
| Field | Type | Required | Description |
|---|---|---|---|
| list_position | integer | Yes | Unique one-based position in this 100-record release snapshot. Tied official ranks retain consecutive list positions. |
| world_rank | integer | Yes | Rank among the 100 tallest completed buildings at retrieval time, ordered by architectural height. |
| building_name | text | Yes | Building name published by the Skyscraper Center. |
| city | text | Yes | City published for the building. |
| status | text | Yes | Building lifecycle status. This release includes completed buildings only. |
| completion_year | integer | Yes | Calendar year of completion. |
| height_m | decimal | Yes | Architectural height in meters. |
| height_ft | decimal | Yes | Architectural height in feet. |
| floors | integer | Yes | Published above-ground floor count when available. |
| structural_material | text | Yes | Published primary structural material classification. |
| function | text | No | Published building use or uses, ordered from highest to lower placement when mixed-use. |
| building_url | text | Yes | Direct Skyscraper Center building profile URL. |
| ranking_basis | text | Yes | Height measurement used for the ranking. |
| source_retrieved_at | text | Yes | UTC retrieval timestamp for this release snapshot. |
Release at a glance
Review verified record totals, geographic coverage, classifications, and field completeness for Worlds Tallest Buildings List.
Each row represents one completed building in the current worldwide top 100, ordered by height to architectural top. The build requires ranks 1 through 100, completed status for every row, unique source profiles, valid positive heights, and matching counts across UTF-8 CSV, JSON, and SQLite.
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