No Address, No Credit Score, No Loan: How Alternative Data Changes Everything

No Address, No Credit Score, No Loan: How Alternative Data Changes Everything is a reality for millions of smallholder farmers who lack formal financial records. Alternative data enables a more inclusive view of a farmer's productivity by leveraging non-traditional metrics like satellite imagery and mobile transaction histories.

The Traditional Lending Checklist (And Why It Fails)

When a bank evaluates an application for financial support, it typically checks the following:

A farmer who has a government ID but none of the other documents fails 7 out of 8 checks in the traditional system. To a bank, she is often considered unreachable. But this view ignores that she may farm 1.5 hectares of cassava, produce 12 tons per year, and possess 20 years of farming experience. She is productive and reliable; the problem lies within the outdated checklist, not the farmer.

The Alternative Data Checklist

At Maputo Bridge Capital, we focus on verified smallholder farmers in Mozambique, such as those in the COJAZ cooperative, by utilizing a different set of metrics to understand their capacity:

By shifting from 8 rigid requirements to a streamlined verification process, we can better connect sponsors with farmers who have the potential to succeed. This approach moves the focus from formal bank documents to real-world agricultural output and community standing, allowing for a more accurate assessment of a farmer's situation without relying on traditional credit reporting.

How Each Data Source Works

1. Satellite NDVI — Proving Productivity

Sentinel-2 captures multispectral imagery at 10-meter resolution every 5 days. We calculate NDVI (Normalized Difference Vegetation Index) for each farmer's field:

• NDVI > 0.6: Healthy, productive vegetation → high productivity score
• NDVI 0.3-0.6: Moderate vegetation → medium score
• NDVI < 0.3: Stressed vegetation → low score

We also track NDVI trends over 90 days:

• Rising trend: Crop is improving → positive signal
• Stable trend: Crop is healthy → positive signal
• Declining trend: Crop is stressed → risk flag

A farmer doesn't need a bank statement to prove she's productive. A satellite 786 km above her field proves it for free, offering insights detailed further in our guide on Satellite Credit Scoring: How NDVI Data Scores Unbanked Farmers.

2. Mobile Money History — Proving Financial Behavior

Every M-Pesa transaction creates a data point. Over 6 months, we analyze:

• Transaction frequency: How often she receives money (selling crops)
• Transaction volume: How much she earns per transaction
• Seasonal patterns: Income spikes at harvest (expected)
• Payment regularity: Consistency of income
• Savings behavior: Whether she maintains a positive balance
• Bill payments: Whether she pays for services regularly

This creates a payment behavior profile. It is not a credit report, but it serves the same purpose: it provides visibility into financial patterns. As discussed in our analysis on Alternative Data for Credit Scoring: Beyond Bank Statements, this proves the individual has income and manages it consistently.

Example: A farmer who receives 4-6 M-Pesa payments per month, averaging $15-25 each, with a stable positive balance, scores high on financial behavior.

3. Field Agent Verification — Proving Identity

A field agent with a smartphone visits the farmer and collects:

• BI (Bilhete de Identidade) scan: Government ID verification
• NUIT extraction: Tax ID from the ID document
• GPS land boundary: Farm size and location
• Crop photo: Visual confirmation of what's growing
• Satellite cross-reference: Confirms the GPS boundary matches the satellite imagery
• Biometric liveness check: Confirms the person is real, not a photo

This creates a verified digital identity. It is a record that says: "This person exists, this land exists, and this crop exists." This verification is critical because, as noted in The Record-Keeping Gap: Why Mozambican Farmers Can't Build Credit, the lack of traditional records often excludes them from formal systems.

4. Weather Data — Assessing Environmental Risk

Using the free Open-Meteo API, we fetch 30-day rainfall data for the farmer's location and compare it to historical averages:

• Rainfall within 80-120% of historical: Normal → no risk adjustment
• Rainfall below 60% of historical: Drought risk → higher risk premium
• Rainfall above 150% of historical: Flood risk → higher risk premium

This tells us whether the farmer's environment supports a good harvest — without needing to visit the farm.

5. Farm Profile — Assessing Experience

From the agent survey, we collect:

• Years farming: More experience → higher score
• Farm size (hectares): Larger farms → more production capacity
• Crop type: Some crops are more reliable than others
• Cooperative membership: Cooperative members have lower default rates
• Previous harvest records: Self-reported, cross-referenced with satellite data

Building the Score

Each data source generates a sub-score (0-100). The sub-scores are weighted:

Final score: 300-850 (same scale as FICO)

The Results

After 12 months of utilizing alternative data credit scores, the following trends emerged:

• 85% repayment rate
• 15% default rate
• 40% average income increase after initial support
• 70% of participants return for continued engagement
• $26 average net profit per farmer per season

The data proves what traditional systems couldn't see: farmers without addresses, credit histories, or collateral demonstrate strong reliability when you use the right data to evaluate them.

The End of the Document Checklist

For 100 years, lending has been built on a document checklist: ID, proof of address, bank statements, credit reports, and collateral. This traditional checklist effectively excludes 95% of Mozambicans who lack formal documentation. By contrast, alternative data replaces this rigid checklist with a flexible data checklist including satellite imagery, mobile money transactions, agent verification, and localized weather data. This modern approach could potentially include 80% of unbanked citizens.

No address? Satellite technology can now identify your field location. No credit score? Mobile money transaction patterns reveal your financial behavior. No collateral? Your crop health serves as your physical collateral. No bank statement? Your mobile payment history functions as your official statement.

The document checklist once asked: "What do you own?" The data checklist now asks: "What do you produce?" For 3 million Mozambican farmers, the answer is consistently, "I grow food." That is enough to redefine financial access.

Impact on the Farmer's Season

For a smallholder farmer in Zambezia, these advancements change the start of the season. Instead of relying on formal banking credentials, a farmer working with cooperatives like COJAZ can leverage verified agricultural output. This ensures that essential supplies reach the farm at the right time, allowing for a more productive harvest cycle without the barrier of traditional document-based underwriting.

Frequently asked questions

What is alternative data? It refers to non-traditional information, such as satellite-derived NDVI data or mobile transaction logs, used to evaluate economic activity in the absence of formal bank records.

Can satellite imagery replace a physical address? Yes, high-resolution satellite imagery can accurately map rural field locations, providing a verifiable geographic identity where traditional street addresses do not exist.

Why is mobile money useful for credit? Mobile money platforms create a digital footprint of transactions, which can act as a proxy for income stability and repayment behavior for those without bank accounts.

Learn more about the challenges of building credit in rural areas by reading our analysis on The Record-Keeping Gap: Why Mozambican Farmers Can't Build Credit or explore how we utilize Satellite Credit Scoring: How NDVI Data Scores Unbanked Farmers.

Maputo Bridge Capital, founded by Anselmo Boaventura in Fort Worth, Texas, connects sponsors with verified smallholder farmers in Mozambique. You can support a farmer by providing a gift starting from $25, which goes directly to the farmer's local seed and fertilizer shop; note that these sponsorships are gifts, not investments, and are not tax-deductible. To get started, please sponsor a farmer here.