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  3. CLiP Belize Land Waste Audits and Interviews 2019

CLiP Belize Land Waste Audits and Interviews 2019

Summary

This dataset contains 4 csv files. Household_solid_waste_audit_Belize_data.csv reports solid waste abundance and composition data from households expressed in number of items, weight or volume; and Commercial_solid_waste_audit_Belize_data.csv reports solid waste abundance and composition data from commercial activities. Household_solid_waste_audit_Belize_metadata.csv reports the results of interviews done when solid waste samples were collected to gather information about household occupants social status and behaviour, including the fate of solid waste not collected through the official waste management service. Commercial_solid_waste_audit_Belize_metadata.csv reports information about number of employees, type of business and waste collection and disposal collected through interviews. Household waste audits were conducted in eight communities between May and June 2019 in Belize (Belmopan, Mahogany Heights, Dangriga, Corozal, Belize City, Orange Walk, Bullet Tree Falls in Cayo, and Toledo rural). Commercial activities were also audited in five locations (Belmopan, Belize City, Corozal, Dangriga and Punta Gorda). A total of 268 households and 64 commercial activities were audited. Also, 12 samples were collected in Belize City to analyse the litter swiped from streets by city council contractors. A READ-ME text file contains the description of columns content for the two csv files.

Categories

Keywords

N/A

Use limitation statement

There are no public access constraints to this data. Use of this data is subject to the licence identified.

Attribution statement

See Cefas Data Portal for details – link to dataset below.

Technical information

Update frequency

notPlanned

Lineage

The Commonwealth Litter Project (CLiP) supported Belize to take action on plastics entering the oceans. Currently 80% of marine litter is estimates to be originated on land and Cefas contracted Asia Pacific Waste Consultants to assess the land waste production rates and waste management performances. The sample collection was limited by the ease of collection of samples, the ability to transport samples, as well as the presence and absence of collection systems. Domestic waste samples were collected household by household targeting low-, medium- and high- income areas to determine waste generation and disposal rates. In areas with house-to-house collection system, the waste bags ready for collection by the waste truck were collected and the household occupiers were interviewed. This was the same protocol followed to sample comemrcial activities. In areas with no collection system, each household was provided with a bag to use to dispose of their waste. Bags were retrieved after one day and discarded to avoid biases in the data linked to the disposal of bulky and unusual items. A second bag was then provided, collected after 5 days and analysed. An interview was conducted with the member of the household depositing the bag. Local staff members were trained to undertake the interview. All waste was collected in labelled plastic bags that were individually opened to sort their contents into categories. Separated materials were weighed on a set of electronic scales. Beverage containers were stored and counted separately. Containers were sorted by size, material (e.g. plastic, aluminium) and product type (e.g. milk, juice). Further, all plastic bags were sorted into different types of bags and all containers were further sorted by size, material type and product type. Cigarette butts, coffee cups and takeaway containers were also segregated. Data quality was checked at several stages by Asia Pacific Waste Consultants before submission of the final version of the dataset. Data were checked during entering for completeness and adjust possible errors. Anomalies were also investigated.

Spatial information

Coordinate reference system

N/A

Geographic extent

  • Latitude from: 10 to 20
  • Longitude from: -90 to -80
Metadata information

Language

English

Metadata identifier

a6ffc658-2674-4fc2-953e-6b18b5afb1bb


Published by

Centre for Environment, Fisheries & Aquaculture Science

Contact publisher

data.manager@cefas.gov.uk

Dataset reference dates

Creation date

27 January 2020

Revision date

17 May 2023

Publication date

31 January 2020

Period

  • From: 09 May 2019
  • To: 24 June 2019

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Data and Supporting Information
Data services and download by area of interestLinkAction
The Cefas Data Portal contains metadata records and data sets available to download and connect to in support of our commitment to open science. Data is available in the following formats: Binary download, CSV, ESRI Shapefile. The data can also be accessed via the WFS and WMS protocols.Open link