The East Africa Masterclass at Terrat focused on the village level experience of off-grid energy. We have invited local leaders and rural energy providers from Ethiopia, Kenya, Rwanda, Uganda, Malawi and Tanzania. We were keen for village headmen and headwomen to share their village experiences of energy provision and to tell us about the outcomes and impacts of productive energy use in relation to standards of living, education, heath and employment in the village. The workshop heard from the off grid energy providers about their achievements and challenges in bringing off-grid energy to villages and how they have worked with village leaders and the village community.

2. WHERE ARE SMART
VILLAGES?

3. KENYA

4. STATISTICS ABOUT KENYA:
2014
• GDP (current US$): $60.94 billion
• Population Total: 45.55 million
• GDP per capita (current US$): $1,337.9
• Population density (people per sq. km of land area): 80
• Poverty headcount ratio at national poverty lines (% of population): 45.9%
• Main Economic Activity: Agriculture, Industry & Manufacturing, Services
• INSERT: Meaningful Measure of Population Dispersion
• INSERT: Age distribution of population (% under 16 represents future demand for
RETs)
• INSERT: Breakdown of fuel use
Source: 2014 World Bank Survey, http://data.worldbank.org/country/kenya

5. SOLID FUEL USE BY
PROVINCE

6. WESTERN PROVINCE: 1997-
2005

7. BUNGOMA COUNTY: 1994-
2005

8. MUNYOLE, KENYA
Village Statistics:
• Bungoma County, Western Province
• Main Economic Activity
• Distance to nearest road
• Hours to nearest town
• National grid status/accessibility
• Age distribution of population (%
under 16 represents future demand for
RETs)
• Any other distinguishing/insightful
characteristics

9. (INSIGHTFUL NARRATIVE)
Share an insightful narrative
about your village
Something that contextualises
role of Smart Villages

10. KAJIADO, KENYA
Village Statistics:
• Kajiado County
• Pastoralism is the Main Economic
Activity
• Villages which are integrated to the
program are between 50-80km to the
nearest road. These are Mosiro, Ewaso
Ngiro, Magadi Koora, Shompole
• It takes approximately 4-5 hours by
private car to get to the to nearest town

11. ENERGY OPTIONS IN KAJIADO HOUSEHOLDS

12. OLODO NYONYOIKE VILLAGE, MAGADI TOWN- KAJIADO COUNTY
Through Naiputa`s
stewardship, the group now
gets daily income from
managing the solar shop
The income has helped the
group members acquire water
tanks in a merry-go-round
scheme
Osepuko odonyo napi self help group
posing together after a training session.
The resilience of the women, both
young and old is what makes this
entrepreneurship model work

13. CENTRAL PROVINCE: 1997-
2005

14. MURANG’A COUNTY:1994-
2005

15. SIPALA, KENYA
Village Statistics:
• Bukembe, Bungoma County, Western
Province
• Distance to nearest road
• Hours to nearest town
• National grid status/accessibility
• Age distribution of population (%
under 16 represents future demand for
RETs)
• Any other distinguishing/insightful
characteristics

16. (INSIGHTFUL NARRATIVE)
Share an insightful narrative
about your village
Something that contextualises
role of Smart Villages

17. RWATHIA, KENYA
Village Statistics:
• Kangema Sub County, Muranga
County, (former) Central Province
• Main Economic Activity
• Distance to nearest road
• Hours to nearest town
• National grid status/accessibility
• Age distribution of population (%
under 16 represents future demand for
RETs)
• Any other distinguishing/insightful
characteristics

18. (INSIGHTFUL NARRATIVE)
Share an insightful narrative
about your village
Something that contextualises
role of Smart Villages