Accra

accra.cool (Greater Accra cost-of-living data dashboard, operated by Blackcedar Media Limited) — A multi-vertical, weekly-refreshed cost-of-living panel for Greater Accra, Ghana — not a single price list. Headline asset is the 'Makola basket': a fixed 10-staple household basket (rice, palm oil, tomato, plantain, yam, onion, eggs, tilapia, chicken, bread) priced weekly with a documented sampling protocol — field collection every Tuesday-Wednesday, at least three sellers per item, median quote taken, outliers dropped — benchmarked across open markets (Makola, Madina, Kaneshie, Agbogbloshie and …

Accra offers (Alternative, Price, Fundamental, Geospatial, Sentiment) — Small in observations, unusual in dimensions. Basket layer: 10 items x 8 complete priced baskets to date, with 21 items across 3 categories tracked at item level and 5 markets priced. Dashboard layer, per the site's own footer counters: 16 verticals, 45 neighbourhoods, 15 schools, 5 markets, 15 trotro routes, 20 hostels, 49 T-bill auctions. Order of magnitude: low thousands of distinct structured datapoints across the whole dashboard, refreshed weekly, plus the forex and fuel feeds that update more frequently than the weekly cadence. The value is the cross-vertical dimensional coverage of one city, not row count..

(1) Sub-national inflation nowcasting for Ghana that is honest about where people actually shop — the explicit thesis is that a market-sampled basket beats national CPI for Greater Accra because CPI over-weights supermarkets; (2) household expenditure, poverty and living-wage modelling for Accra, using a joint basket of food, rent, power, transit, school fees and data; (3) FMCG and grocery retail pricing and assortment for the Ghanaian open-market channel, where no scanner data exists; (4) wholesale-to-retail spread and import-parity analysis on rice, onions and palm oil, the three most trade-exposed staples; (5) salary benchmarking, relocation and expatriate cost-of-living products, which need rent-by-neighbourhood plus school fees plus power plus transit in one place; (6) real-estate and proptech rent models at neighbourhood resolution; (7) food-security and humanitarian market-monitoring for Greater Accra; (8) fixed-income and macro research on Ghana using weekly T-bill auctions alongside consumer prices; (9) African-market LLM tool-use and retrieval evaluation, where dated, sourced, city-level price questions are exactly what general models answer badly.