This dataset was created for use in the Snowflake Hackathon. 📌 Average Apartment Market Price by Si/Gun/Gu and Eup/Myeon/Dong (Based on RichGo AI Price Estimates from Actual Transaction Data) Data Period: 2012 to 2024 Note: SGG/EMD level data Reason for Inclusion: Added to enable comparison of apartment prices (purchasing power) with SKT floating population or KCB income data. Coverage Area: Legal districts (Beopjeong-dong) within three districts of Seoul — Seocho-gu, Yeongdeungpo-gu, and Jung-gu.
📌 Population Data (Provided by the Ministry of the Interior and Safety) Data Period: January 2025 (1 month) Note: Since SGG/EMD level data was only recently released, we assume minimal change over the past three years and consider it usable. Reason for Inclusion: Useful for evaluating population distribution when combined with SKT or LOPLAT population movement data. Coverage Area: Three districts in Seoul — Seocho-gu, Yeongdeungpo-gu, and Jung-gu.
📌 Female Population (Aged 20–40) and Infants Data (Processed from Ministry of the Interior and Safety Data) Data Period: January 2025 (1 month) Note: Since SGG/EMD level data was only recently released, we assume minimal change over the past three years and consider it usable. Reason for Inclusion: Useful for extracting characteristics related to the main customer base of department stores or supermarkets—young women and infants—especially when analyzed with SKT or LOPLAT movement data. Coverage Area: Three districts in Seoul — Seocho-gu, Yeongdeungpo-gu, and Jung-gu.
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dataknows.ai
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Dataknows is an alternative data vendor. Dataknows specializes in economy, market analysis data. This vendor has a Vedex Intelligence Score of 19 out of 100, reflecting market presence, compliance posture, integration readiness, and business maturity.
Dataknows operates in the following alternative data categories.