Post-conflict Reconstruction: Impact of Floods

Published on 10th September 2012

A Ugandan farmer inspects his flooded farm in Tororo.  P.Courtesy

In August 2012, NTV Uganda ran a news feature revealing the flood devastation affecting Agago district, with Parabongo sub-county being the most affected. This aired hardly a month after a similar story was shown about Kitgum regarding the same issue—floods. Parts of Teso, Lango, Acholi, and Karamoja sub regions perennially suffer from the similar challenge. A team of researchers from Refugee Law Project under its Advisory Consortium on Conflict Sensitivity (ACCS), visited the affected parts of the Acholi sub-region to assess the extent of the damage, impact on recovery and measures for mitigating impact on the affected populations.

This briefing paper presents preliminary findings and analysis pertaining to the recent floods within Acholi sub-region. It highlights immediate impacts and predicts future implications for post conflict recovery trends in some parts of Northern Uganda. The rapid assessment surveyed seventeen (17) sub counties in the four districts of: Agago, Pader, Kitgum and Lamwo, from 24 – 31 August 2012. These districts and sub-counties were the most affected even though the torrential rain continues through the Acholi sub-region and more districts may experience flooding. The research team used a combination of thirty-eight (38) in-depth individual interviews and nine (09) focus group discussions with Local government officials and members of the affected communities. While a rapid assessment cannot make a definitive statement on the situation, this briefing sheds light on the dynamics surrounding floods, in order to better understand the extent of the flooding, and to identify critical community needs and assess areas of potential interventions by different stakeholders.

Key questions investigated include the effects on socio-economic development; access to markets, education and health facilities; and the overall effects on post conflict recovery trend in the sub-region.

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