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South Africa E-Commerce Import Trends (v1.0)

Domaine:

socioeconomic

Type de record:

dataset
Créateur:
Dym
Éditeur:
Zenodo
Hôte:avatar
Full report: jlog.co.za: github.com: kaggle.com  South Africa E-Commerce Import Trends — open dataset (v1.0, 2026) What this is Aggregated figures on South Africa's imports in the five consumer-goods categories most associated with online retail — apparel, consumer electronics, beauty and cosmetics, footwear, and toys, games and sporting goods — derived from official South African Revenue Service (SARS) Trade Statistics, 2021–2025. What this is NOT: a measure of online sales. Customs data records goods crossing the border, not the sales channel, so it cannot separate B2C e-commerce from wholesale imports. This dataset is a transparent proxy: "consumer-goods import categories associated with e-commerce". Full detail in methodology.md. It is also NOT a copy of the SARS database — only aggregated, derived figures are published here. For the underlying detailed records, use the SARS Trade Statistics portal directly. Files and columns All rand values are customs value in ZAR (nominal — not inflation-adjusted). Every file carries a source column crediting SARS. sa-ecommerce-import-trends-category-annual.csv One row per category per year. sa-ecommerce-import-trends-category-monthly.csv One row per category per month: category, category_label, year, month (1–12), import_value_zar, source. sa-ecommerce-import-trends-basket-index.csv The SA E-Commerce Import Basket Index: year, basket_value_zar, index_2021_100 (2021 = 100), source. sa-ecommerce-import-trends-top-source-countries.csv Top 5 source countries per category, latest full year: category, category_label, year, rank (1–5), country, import_value_zar, share_of_category_pct, source. Non-country origin codes in the SARS data (Unclassified, Unknown, Ship/Aircraft, "Gold, Petroleum and Other") are excluded from rankings but kept in totals. sa-ecommerce-import-trends-monthly-seasonality.csv Average share of a year's import value landing in each calendar month (mean over 2021–2025): category, category_label, month (1–12), share_of_year_pct, is_peak_month, source. An even spread would be 8.33% per month. sa-ecommerce-import-trends-category-summary.csv One row per category: category, category_label, latest_full_year, import_value_zar, yoy_growth_pct, cagr_2021_2025_pct, top_source_country, top_source_share_pct, source. Sources - South African Revenue Service (SARS), Trade Statistics — tools.sars.gov.za (primary; all figures) - United Nations Comtrade is planned for a future international-comparison update and is not used in v1.0. How to cite Licence JLog's analysis layer (category definitions, derived figures, index, documentation) is licensed CC BY 4.0 — see LICENSE. Underlying trade figures are © South African Revenue Service (SARS) and must be attributed to SARS. Contact JetLog (Pty) Ltd, Unit 12C, 10 Railway Street, Woodstock, Cape Town · info@jlog.co.za · +27 21 300 6099 Column-level documentation for every CSV is in the uploaded README.md; full methodology in methodology.md.

Visit

doi.org

Tags

South Africae-commerceimportsSARStrade statisticsHS codes

Licenses

Creative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

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