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.

Wellington Harbour - Petone Beach, Water Ski Club

21 June 2022

Sustainable Coastlines

Ben Knight

Overview

C

2

1.6

1.3

100m x 10m

Gravel/Pebble

Items per 1,000m2

459

Products

459

4147

Type Count Weight (g)
Plastic 397 763
Parking tickets & receipts 3 2
Pens & Stationery 5 4
Rope 2 1
Fishing line 2 8
Cosmetics and medical packaging 1 7
Clothes pegs 3 7
Other Plastic 5 19
Food wrappers 75 36
Unidentifiable soft plastic fragments 87 72
Food containers 21 44
Cigarette lighters 1 15
Unidentifiable hard plastic fragments 57 178
Bottle caps & lids 36 69
Bottle neck rings 5 2
Straws 13 9
Toys, sport, & recreation (Plastic) 13 11
Plastic utensils 1 1
Bottle seals & tabs 2 1
Gardening & farming related 12 14
Hangers & retail packaging 6 6
Lollipop sticks 12 6
Strapping bands & tape 6 8
Cable ties & zip ties 3 11
Plastic bags 8 46
Bottles <= 2 L 1 28
Drink package rings 1 4
Plastic sheeting 2 29
Safety & construction related 14 125
Resin pellets A N/A
Foamed Plastic 20 21
Foam glazier spacers 1 1
Unidentifiable foamed plastic fragments 5 4
Polystyrene insulation or packaging 11 4
Foam sponge 2 9
Toys, Sports & Recreation (Foamed Plastic) 1 3
Wood 12 3063
Other Wood (specify) 1 3
Processed timber & pallet crates 11 3060
Fabric & Textiles 11 29
Unidentifiable cloth fragments 11 29
Metal 7 43
Unidentifiable metal fragments 4 3
Other cans (<= 4 L) 1 19
Aluminium drink cans 2 21
Glass & Ceramic 5 35
Glass or ceramic fragments 5 35
Other 4 155
Appliances & electronics 1 153
Cotton buds 2 1
Personal care items 1 1
Paper & Cardboard 3 38
Cups, food trays & wrappers 1 35
Unidentifiable paper and cardboard fragments 2 3

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