About a flood of about 2000 homes – CDC – Kaieteur News

About 2000 homes flooded – CDC

Kaieteur News – Floods caused by excessive rainfall and high tides during the period January 1 to 9 this year have seriously affected approximately 2000 households. This is according to the Civil Defense Commission (CDC) report.
The Commission received reports of flooding across 17 communities that have been severely affected with water entering the homes of residents with livestock and domestic animals and leaving farmlands with overcrowded crops. The communities and homes affected are primarily in Regions Two, Three, Four and Ten.
According to the CDC, Region Two is the most affected geographic area while Nabacalis in Region Four has registered the most affected households.
The report noted that 180 homes, Dredge Creek -77, were affected by Region Two, Charity Housing Scheme and Charity Squat Area; Abrams Creek— 55; Siriki- 50; Jacklow -50; Cozier Canal— 25; Grand Buxton – 45; David James Plan -70; Jacklow Pomeroon – 40; Kabakaburi-140; and Urusara Charity NDC – 478. While in Region Four, Nabaclis was seen affecting 1000 homes, Golden Cushion Section ‘C’- 60; Ann’s Grove -130; Victoria – 400; Mocha Arcadia had 85. In Region Ten, Silver City acquired 15 affected homes.
The Commission said that during the period 1 to 4 January, the country had experienced high tides above normal along with severe rainfall across northern Guyana.
The CDC collaborated with several agencies including the NDIA, MOA, RDCs and NDCs to carry out an assessment in the affected areas. The assessment revealed that some areas remained overcrowded even at low tide. The finding also showed that lands could not drain effectively as many were within basins, which were flooded during the December period and also due to poor drainage in some areas.
In addition, the Ministry of Health deployed officer teams to several communities across the coast and in riveting areas to make assessments and find solutions to address concerns such as possible outbreaks of disease and the effects on livelihoods .