Present Status of Socio-economic Conditions of the Fishing Community of the Meghna River Adjacent to Narsingdi District, BangladeshBhuyan S* and Islam S
Institute of Marine Sciences and Fisheries, University of Chittagong, Chittagong, Bangladesh.
- *Corresponding Author:
- Bhuyan S
Institute of Marine Sciences and Fisheries
University of Chittagong
Tel: +880 1878-914494
E-mail: [email protected]
Received Date: June 10, 2016; Accepted Date: June 22, 2016; Published Date: June 30, 2016
Citation: Bhuyan S, Islam S (2016) Present Status of Socio-economic Conditions of the Fishing Community of the Meghna River Adjacent to Narsingdi District, Bangladesh. J Fisheries Livest Prod 4:192. doi: 10.4172/2332-2608.1000192
Copyright: © 2016 Bhuyan S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The present study was carried out to assess the livelihood status of traditional fishing community of Meghna River adjacent to Narsingdi District from September 2015 to March 2016. Data were collected through the well-structured questionnaire survey from Noyapara, Daspara, Birpur and Boiddamara char close to Meghna River. A total of 100 fishermen were selected randomly for interview. The findings of the study revealed some interesting facts and showed most of the fishermen were Hindu (63%) belong to the age of 24-45 years. Almost 71% of the fishermen were illiterate and got medical help mainly from village doctor (80%). It was found from the investigation that most of the house were kacha (65%) and with poor sanitation facilities. For coping with adverse situation most of them (85%) take loan from somiti (Asha). There was a prevalent relationship of contentment of fishermen, children’s school, taking risk at work, electricity facilities and medical facilities with the fishing income that was analyzed by One Way ANOVA (SPSS v.22) as the alpha level (p < 0.05). Principal Component Analysis (PCA) was done to isolate variables that may be sufficient for socio-economic study and Correlation matrix was done to find out the relation among variables.