litter intelligence logo

Data.

This dataset was collected by Citizen Scientists at an official 'Survey Area' as part of the Litter Intelligence long-term litter monitoring programme. The data are freely and openly accessible to anyone. Download the raw data, share this survey, and learn more about the data collection methodology through the links at the bottom of the page.

Litter Survey

beach-icon Beach.

Waimea Inlet - Point Road, Monaco

4 August 2020

Nayland College

Glenn Cheyne

Overview

B

9

3.6

6.8

100m x 20m

Mud

Items per 1,000m2

71

Products

142

7481

Type Count Weight (g)
Plastic 92 304
Resin pellets B N/A
Clothes pegs 1 9
Cigarette lighters 1 3
Unidentifiable soft plastic fragments 24 101
Unidentifiable hard plastic fragments 22 36
Plastic vehicle parts 2 8
Bottles <= 2 L 1 20
Food wrappers 24 86
Bottle seals & tabs 3 1
Bottle caps & lids 7 12
Straws 2 2
Gloves 5 26
Other 14 5011
Other 13 5011
Sanitary items 1 N/A
Glass & Ceramic 12 328
Glass or ceramic fragments 7 20
Construction material 5 308
Fabric & Textiles 6 907
Clothing, towels and linen 1 2
Unidentifiable cloth fragments 3 103
Rope, line or string (natural) 1 2
Other cloth 1 800
Paper & Cardboard 6 10
Paper, newspapers & paper receipts 5 8
Cups, food trays & wrappers 1 2
Foamed Plastic 5 24
Foam sponge 5 24
Metal 3 844
Metal vehicle parts 2 726
Construction material 1 118
Rubber 3 52
Other Rubber (specify) 1 7
Toys, Sports & Recreation (Rubber) 1 43
Rubber bands 1 2
Wood 1 1
Processed timber & pallet crates 1 1

Materials

  • Would you like to analyse the data yourself?
  • Or share if you think this data would be interesting to others.
  • If you would like to learn how this data was collected. Our Methodology

Previous survey in this area

Waimea Inlet - Point Road, Monaco Nelson Enviroschools
18 Feb, 2020
Items per 1,000m2
272
17%

Next survey in this area

Waimea Inlet - Point Road, Monaco Nayland College
11 Nov, 2020
Items per 1,000m2
26
81%