Structured, weekly-updated datasets covering Ghana's consumer prices, real estate, economic indicators and more — pay securely and receive your data instantly.
Weekly retail and second-hand prices for electronics, phones, furniture, fashion and more — collected from Ghana's largest online markets and AI-enriched with brand, model and condition.
Property sale and rental listings from Ghana's largest real estate portal, enriched with neighbourhood and city data. Plus weekly hotel and Airbnb nightly rates across major Ghanaian cities.
Bank of Ghana macro indicators, FX rates, GSE stock indices, agricultural commodity prices (maize, rice, palm oil, vegetables and more) and weekly national fuel prices — all in one dataset.
All datasets in one purchase. Consumer prices, real estate, hotel & Airbnb accommodation, property listings, macro indicators, FX rates, GSE financials, agricultural commodity prices and fuel — everything SG Datalytics collects, delivered to your inbox instantly.
No sign-up forms. No waiting. Your data is delivered to your inbox within seconds of payment.
Choose the dataset that fits your work — or take the full bundle for maximum coverage. Click the Buy Now button on any product card above.
Enter your email and complete payment through Paystack — Ghana's most trusted payment gateway. Accepts card, MTN MoMo, Vodafone Cash and AirtelTigo Money.
Immediately after payment, a secure download link is sent to your email. Click to download your CSV dataset. The link is valid for 24 hours and works once.
All payments are processed securely by Paystack — Ghana's leading payment infrastructure. Your card or mobile money details are never stored on our servers. After payment, your download link is sent to your email automatically within seconds. Questions? Email info@sgdatalytics.org
Clean, structured CSV files ready for Python, R, Excel, Tableau or Power BI.
Data is collected and refreshed every week by our automated pipeline. Each purchase includes the most current available snapshot.
Load your CSV with pandas.read_csv() or R's read.csv(). Clean column headers, consistent types, analysis-ready out of the box.
Import directly into Excel, Google Sheets, Tableau or Power BI. No transformation needed — columns are named and typed for immediate use.
Every dataset is validated, deduplicated and AI-enriched before delivery. Consistent column names, no merged cells, no formatting noise.
Every row carries a scraped_date, week_number and year column so you can track price changes over time with a simple group-by.
Market price rows include brand, model, condition and a normalised product name — extracted from raw listing titles using Gemini AI, ready for like-for-like comparison.
scraped_date and week_number columns in every row show exactly when the data was collected.