How to Get Jumia Data: A Pan-African Marketplace Guide

The short answer

Jumia (NYSE: JMIA) is Africa's largest listed e-commerce platform, and it publishes enough operational detail—GMV, orders, active customers, fulfillment cost per order, country-level growth—that its filings can anchor a market model. What the filings cannot give you is anything at SKU level: prices, assortment, seller counts, promotion depth, or availability. Getting that requires structured collection across Jumia's country storefronts, which behave like genuinely separate platforms: different currencies, different logistics economics, different category mixes, and a footprint that has shrunk deliberately since 2019. Any multi-country Jumia dataset should therefore start from the company's actual current footprint, not the fourteen-country map most people still picture.

Verify the footprint first: eight countries, not fourteen

Jumia's corporate site currently lists its marketplace in eight countries—Egypt, Ghana, Ivory Coast, Kenya, Morocco, Nigeria, Senegal, and Uganda—and its locations page matches. The retrenchment is well documented on Wikipedia's Jumia history section: operations were suspended in Cameroon (November 2019) and Tanzania (late 2019), Rwanda's Jumia Food was suspended in December 2019, food delivery was discontinued across seven markets announced in December 2023, South Africa and Tunisia were exited in October 2024, and Algeria was exited in early 2026—small enough that Jumia's Q2 2026 release adjusts headline KPIs for it as a “perimeter effect.” The practical rule for data work: re-verify serviceability per country every quarter rather than assuming yesterday's map still holds.

What the latest filing gives you

The figures below come from Jumia's Q2 2026 earnings release (August 12, 2026), with further detail in materials on investor.jumia.com.

The same release quantifies country dynamics that matter for panel design: Nigeria delivered standout growth with GMV up 36% year-over-year and orders up 34%, Egypt confirmed a sustained recovery after roughly flat quarters, while Ivory Coast saw softer demand tied to declining cocoa farmgate prices—a reminder that commodity cycles, not just platform execution, move African e-commerce series.

JumiaPay, mobile money, and what payment data means here

Jumia launched JumiaPay in 2017 as its embedded payments layer, per Wikipedia's history of the company, and it remains central to checkout on-platform. But the African payments reality differs structurally from Latin America or Asia: card penetration is thin, mobile money wallets dominate everyday digital payment, and cash on delivery persists in several markets. Two implications for analysts follow. First, a “paid order” observation conflates card, wallet, and COD unless you record payment context at capture time. Second, payment-method mix affects return rates and fulfillment cost, so any model linking orders to unit economics needs that field. Notably, Jumia's Q2 2026 KPI table shows orders through a dedicated JumiaPay App falling toward zero—the standalone app has been de-emphasized even as embedded payment continues—so do not treat app-level payment metrics as proxy for total digital adoption.

The pickup-station model and why it changes logistics data

• Three-quarters of packages. The Q2 2026 release states that 75% of shipped packages were fulfilled through pickup stations, up from 71% a year earlier—a materially different last-mile profile from home-delivery-first markets.
• Fuel-price insulation. Management credits the pickup network with meaningfully limiting exposure to fuel surcharges passed through by local logistics partners.
• Upcountry reach. Orders from upcountry regions reached 61% of total orders in Q2 2026, up from 59%—secondary-city coverage is where growth is happening, and where address-level data is sparsest.
• Collection implication. Delivery fees and ETAs observed at checkout reflect a collect-point default; comparing them to home-delivery benchmarks elsewhere without labeling the mode will mislead.

Local currency handling

Jumia reports in U.S. dollars but transacts in naira, Egyptian pounds, cedis, shillings, dirhams, and francs. The Q2 2026 release separately discloses constant-currency growth precisely because currency moves distort reported trends; revenue grew 14% reported but 15% in constant currency, for example. A collection program should store observed prices in local currency with the FX rate used only as an annotation—converting at capture time bakes one day's rate into history and quietly corrupts longitudinal comparisons. Naira depreciation alone can turn a stable local price into an apparent dollar collapse.

Why managed collection fits this market

A realistic first program

1. Start with two countries—typically Nigeria (largest) and Kenya or Morocco (different currency, logistics, and demand profile)—before scaling to all eight.
2. Fix matched collection windows and identical fields per country so cross-country comparison is legitimate.
3. Record payment and delivery-mode context (COD vs prepaid, pickup station vs doorstep) alongside every price observation.
4. Keep raw evidence, because storefronts change layout and fields without announcement.
5. Reconcile quarterly against Jumia's filings: if your observed category mix contradicts disclosed GMV drivers, suspect your panel before suspecting the company.

Bottom line

Jumia offers something unusual in African commerce: audited, quarterly, country-aware disclosure paired with observable storefronts in eight markets. Use the filings for scale and trajectory, and use disciplined collection for everything SKU-level that filings will never contain—while respecting the footprint churn, the pickup-station logistics model, and local-currency realities that make naive scraping quietly wrong. Our Jumia marketplace page lists the data points we track per country and how a pilot can be scoped.