Mapping Socio-Economic Vulnerability in Ethiopia: A Data-Driven Approach to Water Security

This is not an academic or policy report. Rather it represents the informed opinions and careful analysis of several specialists, who work at the ground level. It is a study-blog based on the facts as we currently understand them. It does not necessarily correspond to the views of the organisations we work for. Any improvements, and new facts, would be gratefully received – so we can improve our analysis.

In the mitigation of food and water insecurity, empirical data serves as the fundamental baseline for intervention. This study-blog presents an ongoing collaborative framework integrating socio-economic analysis with geospatial mapping within the Gamo, Gofa, and Sidama Zones or “SGG” in southern Ethiopia, in total covering c.19,000 Km2. This is where we are working with support from Czech and UK and Ethiopian governments, as well as many smaller organisations and private individuals – to whom we are all equally grateful.

Identifying the “Hotspots”

The primary objective of this research is to commence identifying geographic “hotspots” defined by the convergence of environmental stressors and human vulnerability. Specifically, our analysis focuses on the spatial intersection of three critical variables:

• Sparse distribution of existing groundwater abstraction infrastructure.
• Elevated population concentration; and
• Heightened prevalence of severe food insecurity, with a specific emphasis on the paediatric cohort under five years of age.

By synthesizing groundwater potentiometric surfaces, prioritizing shallow aquifers at depths 30 meters (and why this depth we explain later) with infrastructure inventories and UNOCHA demographic datasets, we have started to develop a “composite spatial model of regional systemic stress”.

We believe this approach is valid, although there is much work to be done. And it is important work for two reasons: 

1) At least 47 million Ethiopian small farmers live under the World Bank Poverty Line in Ethiopia. At the root of this poverty is water stress that also leads to widespread hunger and widespread social unrest. 

2) If Ethiopia falls into total social unrest, it could lead to the Suez Canal and the Red Sea closing. With modern missile technology, used by the bad guys, this could easily threaten over USD$ 1 trillion of annual trade flow through the Red Sea. Therefore in the opinion of the authors, the maximal investment of time, money and interest in this project, from all three governments, is extremely wise, today and in the long-term future, and they are also sincerely thanked here, by us.

 

Addressing Methodological and Data Constraints

While precision is critical, the analysis is subject to the limitations of available data, much of which is aggregated at the woreda level and is derived from historical census figures. To ensure statistical rigor and comparability across 64 woredas in SGG, the team utilized Z-score normalization and incidence rate calculations to regularize malnutrition data. 

Although our findings are indicative rather than definitive, they enable an estimation of Severe Acute Malnutrition (SAM) prevalence by applying census-derived age-group proportions to aggregated population totals. See Map 1 and Map 2 below.

 

From Geospatial Synthesis to Targeted Intervention

These maps function as a strategic evidence base for humanitarian and development well programme planning. By visualizing the overlap between groundwater accessibility and localized vulnerability, this study provides stakeholders with the empirical justification required to prioritize well-drilling initiatives and strategic water resource allocation.

Map 1: Severe Acute Malnutrition “SAM” on woreda basis

 

Deeper red colour highlights the higher SAM rates. In other words, the darker red woreda areas are priority target areas for considering water well drilling exploration could happen – to benefit small farmers who generally may be under the highest levels of socio-economic stress, including hunger or water shortage. Such well drilling may be most cost-efficient at or closer than 30 meters, as at this depth an easy-to-maintain handpump is not only affordable but can be serviced by the small farmer, making them largely independent of outside support.

How would such “exploration” begin ?

The “WellMapr™” system is a very low-cost AI system for groundwater level detection and is being developed in SGG by a partnership of Global MapAid, the Czech Geological Survey and the Ministry of Water & Energy – and several other wonderful partners. It is being developed in response to the current expensive and high failure rates of well drilling where costly geophysics are nor used, in favour of “educated guesswork”. It is not quite ready for operational use at the time of writing in February 2026, but the initial results are encouraging. 

Conceivably the WellMapr system could be used to detect where in the darker red woreda areas, there is water at or closer than 30 meters below ground surface.

Note: the smallest areas in the map are called “kebeles”. These are collected into larger bounded areas, with thick black lines, known as “woredas”.

Data courtesy of UN OCHA, accessed December 12, 2025

 

Map 2: Severe Acute Malnutrition “SAM” on kebele basis

 

What does this mean now, and in future?

This map perhaps represents the beginning of a higher resolution approach to contribute towards where the greatest socio-economic needs are for groundwater. As noted, groundwater at 30 meters is a preferred cost-efficient depth for a handpump.

Further work needs to be carried out, to capture survey data, and map and then overlay these factors on the SAM mapping:

• Groundwater depth (to 30 meters as discussed) – this is in development
• “Drillability” of the land – either too hard or too soft land, will add costs to well drilling
• Potability of water – human contamination of groundwater, or natural contaminants need mapping

 

Prepared by: Mihret Abera, Leta Megerssa and Rupert Douglas-Bate and Kryštof Verner, from Ethiopia, United Kingdom, Czech Republic.

18.02.2026