# π₯ # Kenya Clean Cooking Access Gap Analysis | DHS 2022 Geospatial Market Intelligence
### A County-Level Geospatial Market Opportunity Study
## π― Problem Statement
Kenyaβs clean cooking transition is not constrained by national infrastructure β it is constrained by **uneven spatial adoption patterns across counties**.
Despite rising electricity access (77%), only ~31% of households use clean cooking fuels, creating a structural market inefficiency.
This project answers one question:
> Where should governments, investors, and energy companies prioritize intervention to maximize clean cooking adoption impact per unit of capital deployed?
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## π Strategic Recommendations
### 1. Market Prioritisation Strategy
Focus LPG expansion in high-deficit, high-population counties:
- Kakamega
- Bungoma
- Meru
- Nakuru
- Kilifi
### 2. E-Cooking Market Development
Target 10 identified counties with high electricity penetration but low LPG usage for pilot induction programs.
### 3. Segmented Intervention Strategy
- Low-income rural counties β subsidised LPG rollout
- Mid-income transition counties β hybrid LPG + electric cooking programs
- Urban counties β appliance-driven adoption strategy
### 4. Investment Logic
Shift from national averages to **county-level ROI targeting using deficit-weighted demand**
## π Exploratory Data Analysis Findings
- Urbanisation vs access correlation: **-0.379**
- 10 counties identified as **e-cooking opportunity markets**
- Strong negative relationship between female-headed households and access (r = -0.379)
- Wealth shows non-linear adoption pattern (threshold effect observed)
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## π Impact Potential
If interventions are targeted using this framework:
- Capital efficiency improves by prioritising high-deficit counties
- Carbon project additionality increases through precise targeting
- Distribution costs reduce via cluster-based rollout strategy
- Adoption rates improve through segmentation-based interventions
## π Execu β¦