UNICEF Ghana & KNUST Partnership

Predictive Model for Sanitation Coverage in Ghana

A transparent, constraint-based approach to setting achievable sanitation targets. No black boxes. No unrealistic promises. Supported results.

In partnership with

17.7%
Open Defecation Rate
1.48M
Households Affected
261
Districts Covered
16
Regions Analyzed
Source: Ghana 2021 Population and Housing Census

Why This Project?

Ghana's sanitation challenge requires data-driven solutions, not political promises.

⚠️ The Problem

  • 1.48 million households in Ghana still practice open defecation
  • Targets need to be driven by the reality on the ground
  • Massive regional disparities — OD ranges from 6.2% to 68.5%

Our Solution

  • Constraint-based model that calculates what's actually achievable
  • Independent verification — every prediction can be cross-checked against audited data
  • Transparent parameters — all assumptions visible and adjustable

Understanding Sanitation Levels

We use the WHO/UNICEF JMP "Sanitation Ladder" to classify service levels.

🚫

1. Open Defecation

Disposal in fields, bushes, or open bodies of water. No service.

⚠️

2. Unimproved

Pit latrines without slabs or bucket latrines. Does not separate excreta safely.

🤝

3. Limited

Improved facilities shared between two or more households.

🏠

4. Basic

Private, improved facility not shared with other households.

5. Safely Managed

Excreta safely disposed in situ or transported and treated off-site.

ℹ️ Note: Our current data sets targets for moving populations from Level 1 (OD) to Level 4/5.

The Model

A constraint-based linear model that calculates maximum feasible improvement.

THE CORE FORMULA
Households Served = min( Budget ÷ Cost , Capacity ) × Efficiency
Net Improvement = Served Pop. Growth
💰

Budget Constraint

How many toilets can essentially be purchased?

Latrine: $200
Septic: $800
🏗️

Physical Capacity

Construction speed limit regardless of money.

Max Rate: ~8% / yr
Based on historical logistics data.
📉

Efficiency Loss

The "Last Mile" problem: harder to reach fewer people.

>50% OD: 100% eff.
20-50% OD: 85% eff.
<20% OD: 65% eff.
👥

Population Drag

New households form while you build.

Growth: −10% to +10%
Reduces net coverage gains.

Ghana Regional Sanitation Map

Hover over regions to see sanitation coverage data

Loading Map Data...

Quick Stats

Worst Affected
Savannah
68.5% Open Defecation
Best Performing
Greater Accra
6.2% Open Defecation
National Average
17.7%
Open Defecation Rate
Priority Regions
6 Regions
Above 40% OD Rate

Regional Data

Complete sanitation statistics from the 2021 Ghana Census

Open Defecation Rate by Region

All 16 Regions

Region Households OD Rate Has Any Facility

Make Your Prediction

Adjust parameters and see how constraints affect outcomes

Interactive Calculator

Input Parameters

$0$50M
10K2M
0%100%
$100$1,500
−10%+10%

Model Output

Budget Cap
33,333
Physical Cap
40,000
BINDING CONSTRAINT
Budget
After Efficiency
28,333
Pop. Change Impact
−3,200
NET HOUSEHOLDS SERVED
25,133
OD: 40.0% → 35.0%

5-Year Prediction Model

Verification Framework

Every prediction can be cross-checked from multiple sources

📊
MODEL
Predicts from constraints
~7,200
📋
REPORTED
District claims
10,000
AUDITED
Field verification
5,500
⚠️
Discrepancy Alert
Reported exceeds Model and Audited figures — investigation triggered for accountability.

Ready to Set Achievable Targets?

Contact us to discuss implementing this model for your sanitation monitoring needs.

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