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Strategies, Marketing and Social Research Head Office: 259 Glen Osmond Rd, Frewville SA 5063 Tel: 08 8433 0200 Fax: 08 8338 2360 [email protected] www.mcgregor.com.au Litter Strategy Monitoring Wave 78 – November 2019 Report Prepared for: John Phillips On behalf of: KESAB Environmental Solutions Project No: 10705 Date: November 2019

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Page 1: Litter Strategy Monitoring Wave 78 November 2019 Report › wp-content › uploads › litter-research › ... · 2020-05-04 · - 2 - 1.1 This document has been prepared by McGregor

Strategies, Marketing and Social Research

Head Office: 259 Glen Osmond Rd, Frewville SA 5063

Tel: 08 8433 0200 Fax: 08 8338 2360

[email protected] www.mcgregor.com.au

Litter Strategy Monitoring Wave 78 – November 2019

Report

Prepared for: John Phillips

On behalf of: KESAB Environmental Solutions

Project No: 10705

Date: November 2019

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Contents

Section 1 Introduction ...................................................................................................... 1

Background ............................................................................................................. 2

Section 2 Wave 78 Executive Summary ....................................................................... 5

Items Counted .................................................................................................... 6

Litter Volume....................................................................................................... 9

3.1 Glass .......................................................................................................... 12

Items ................................................................................................................. 12

Volume .............................................................................................................. 13

3.2 Metal ........................................................................................................... 14

Items ................................................................................................................. 14

Volume ............................................................................................................. 15

3.3 Plastic ......................................................................................................... 16

Items ................................................................................................................. 16

Volume .............................................................................................................. 17

3.4 Paper/ Paperboard ..................................................................................... 18

Items ................................................................................................................. 18

Volume ............................................................................................................. 19

3.5 Miscellaneous ............................................................................................ 20

Items ................................................................................................................. 20

Volume ............................................................................................................. 21

3.6 Cigarette Butts ............................................................................................. 22

Items ................................................................................................................. 22

Volume ............................................................................................................. 23

3.7 Dispersion of Litter by Site Type ................................................................ 24

Items ................................................................................................................. 24

Volume ............................................................................................................. 27

3.8 CDL Beverage Containers ......................................................................... 28

Data Summary - Items ................................................................................................... 29

Data Summary - Volumes .............................................................................................. 33

Appendix 1: Tracking Graphs ............................................................................................... 37

Unweighted Tracking Graphs - Items ........................................................................... 43

Unweighted Tracking Graphs - Volume ....................................................................... 58

Weighted Tracking Graphs - Items ............................................................................... 66

Weighted Tracking Graphs - Volumes ......................................................................... 77

Appendix 2: Data Collection Form................................................................................ 84

For enquiries on this report please contact David O’Dea.

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Section 1 Introduction

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1.1 This document has been prepared by McGregor Tan Research to report on Wave 78

of the quarterly KESAB Litter Monitor. Surveys for the current wave were conducted

in South Australia during November 2019.

Background

1.2 Regular monitoring of the litter stream is necessary in order to maintain a clear

picture of its components, such as the various material types that contribute to the

litter stream as well as the distribution of litter across different area types. Keep

South Australia Beautiful (KESAB) had been monitoring the State's litter stream for

many years, but the level of detail required during the South Australian

Government’s moratorium on changes to Container Deposit Legislation was

considerably greater than previously recorded.

1.3 An expanded monitoring program commenced in February 1998, and McGregor Tan

Research was commissioned at that time to undertake the actual count and to report

regularly on the outcomes. This expanded program was continued throughout 1999,

2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012,

2013, 2014, 2015, 2016, 2017, 2018, 2019 and is planned to continue.

1.4 The count was completed quarterly, with the exception of August 2002, carried out

in February, May, August and November of each year until 2015. Since then, the data

has been counted twice a year, in May and November.

1.5 During each Wave of the survey, litter counts are undertaken at 151 sites across

South Australia. In conjunction with the national litter count, a review of all South

Australian sites showed that 11 of the sites surveyed were disproportionately

represented in the data. These original sites were found to be unusual in nature, and

were replaced with 11 revised sites.

1.6 The data collection form utilised for the count was jointly developed by McGregor

Tan Research and KESAB. A copy of this form is provided in Appendix 2.

1.7 In January 2003, Container Deposit Legislation (CDL) was extended to cover most

beverages under 1 litre, such as juice cartons, fruit boxes, flavoured milk cartons, etc.

As a result, a new method of analysing the data had to be adopted so that the

changes to the CDL, and the effect on the total litter stream could be evaluated.

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1.8 Prior to the August 2004 Litter Count, the data collection form was re-evaluated and

re-designed to take into account the changes to the CDL and also to incorporate new

categories for litter items that were previously coded as ‘other’ or in an inappropriate

category. The changes that were made to the data collection form include:

• Plastic bags were separated into 3 types of litter:

o Supermarket type lightweight shopping bags

o Heavier glossy, typically branded carry bags

o Sacks, sheeting and other bags

• Bottle and can tops were moved and separated from the Miscellaneous

Category into both ‘plastic bottle top’ and ‘metal bottle and can tops’.

• The following four litter types were also added to the Plastic Category:

o Bread bag tags

o Lollipop sticks

o Spoons/ cutlery

o Drink pouches

• The Metal Cans category name was changed to Metal.

• Foil take away was moved from Miscellaneous to Metal.

• Cigarette butts were separated from the Miscellaneous Category.

• Two extra items were added to the Paper/paperboard Category:

o Paper bags

o Shopper dockets & related shopping paper

1.9 In previous waves, the data collection form separated each litter type into CDL and

non-CDL categories However, extended Container Deposit Legislation (CDL) has now

meant that the litter categories alone (e.g. Flavoured milk, < 1 litre) can be used to

establish whether or not beverage containers are covered under CDL or not.

1.10 In order to determine the effectiveness of the current CDL (as of January 2003,), and

for comparative purposes, it was necessary to re-calculate the number of current CDL

items from the waves prior to the extension. References to CDL items in Waves prior

to Wave 17 (waves 1-16) therefore denote beverage containers that are currently

covered by CDL – not the items that were covered by the legislation prior to this time.

1.11 During the Wave 29 Monitor estimates of the volumes for each litter item category

were defined. The assignments of volume estimates to each litter item category were

based on actual measurements of containers/ items, the condition that these items

were most commonly found (which was based on the audits of at least three Waves),

and the most common or average size of the items that were found within each

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category.

1.12 The auditors were an important part of the volume formulation process, and they

were able to record the number, size and type of different items within each category

over a number of waves. Volumes ascribed to each item represented the average

size for that category across all site types.

1.13 The final volume attributed to each litter item category furthermore took into

account the fact that some items were often found crushed and weathered. For

example, some drink cans and cartons are often crushed and/ or weathered when

they are identified by the auditors and counted. The same volume measurements

have been used for all subsequent Waves.

1.14 Two noteworthy events that have taken place since the beginning of this longitudinal

study include:

• The deposit on drink containers was increased from 5 cents to 10 cents in

September 2008.

• The ban on thin plastic shopping bags came into effect in May 2009.

1.15 This document reports on Wave 78 of the longitudinal study. The litter count was

conducted during November 2019. Section 2 of this report outlines the litter

characteristics of the 151 sites, which include 11 revised sites (replacing 11 of the

original 151). Appendix 1 contains charts tracking results back across all prior

Monitors, and includes weighted results to facilitate meaningful comparison of

results established at the 151 original sites with results derived from the 151 revised

sites.

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Section 2

Wave 78 Executive Summary

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The following Executive Summary covers the findings of the November 2019 KESAB Litter

Monitor (Wave 78). Where possible, results have been tracked against those derived from

any previous Waves which incorporated revised sites. All 151 sites were counted during the

November 2019 count.

Items Counted

A total of 8,205 litter items were counted across the 151 South Australian sites during Wave

78. This figure is higher than the previous monitor in May 2019 (6,918) and also below

monitor conducted in November 2018 (7,270) at the same time last year.

Cigarette butts remained the main contributor (27%) to the litter count with 2,232 butts

counted in Wave 78, up from Wave 77 (2,209) in May 2019 but down from Wave 76 (2,527)

in November 2018 conducted at the same time in the previous year.

The overall increase in number of items counted was most strongly demonstrated by several

litter types in Wave 78, including:

• PAPER/PAPERBOARD - Other paper (including tissues) – 1,426 items, up from 1,005

items in Wave 77 (42% increase)

• PLASTIC - Other plastic - 1096 items, up from 675 items in Wave 77 (62% increase)

• GLASS - Other glass - 478 items, up from 156 items in Wave 77 (206% increase)

• MISCELLANEOUS - Clothing & materials - 168 items, up from 68 items in Wave 77

(147% increase)

• METAL - Metal bottle tops and can pull rings - 270 items, up from 176 items in Wave

77 (53% increase)

• METAL - Other foil - 197 items, up from 125 items in Wave 77 (58% increase)

• MISCELLANEOUS - Rubber pieces (not tyres) - 112 items, up from 46 items in Wave 77

(143% increase)

• METAL - Metal pieces - 110 items, up from 59 items in Wave 77 (86% increase)

• PLASTIC - Plastic bottle tops - 270 items, up from 237 items in Wave 77 (14% increase)

Litter types that experienced larger decreases in the number of items in Wave 78 included:

• PLASTIC - Snack bags & confectionery wrappers – 213 items, down from 314 items in

Wave 77 (32% decrease)

• PAPER/PAPERBOARD - Coffee cups - 58 items, down from 114 items in Wave 77 (49%

decrease)

• PAPER/PAPERBOARD - Cigarette packets - 48 items, down from 85 items in Wave 77

(44% decrease)

• PLASTIC - Styrene foam boxes, sheets, etc. - items, down from 39 items, down from 74

items in Wave 77 (47% decrease)

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• GLASS - Beer, all colours of glass, 750ml+ - 0 items, down from 27 items in Wave 77

(100% decrease)

• PAPER/PAPERBOARD - Cups/take away containers - 118 items, down from 144 items

in Wave 77 (18% decrease)

• PLASTIC - Take away & cups - 167 items, down from 192 in Wave 77 (13% decrease)

• PLASTIC – Straws - 179 items, down from 199 items in Wave 77 (10% decrease)

Plastic items (28%, down from 30% in Wave 77) and cigarette butts (27%, down from 32% in

Wave 77) accounted for the largest proportion of all litter items counted in Wave 78. Other

material types represented the following proportions of the litter items counted:

• Paper/ paperboard (24%, down from 25% in Wave 77)

• Metal items (9%, up from 7% in Wave 77)

• Glass items (6%, up 3% in Wave 77)

• Miscellaneous items (5%, up from 3% in Wave 77)

The top 20 ranking of litter type by number of items in Wave 78 was similar to the results for

Wave 77, with new items entering the Top 20:

• MISCELLANEOUS - Rubber pieces (not tyres)

• METAL – Flavoured water / soft drink, carbonated, all sizes

With new entrants, there are always those items that exit from the top 20 item list, in Wave

78 these items were:

• PAPER/PAPERBOARD – Cigarette packs

• PLASTIC – Styrene foam boxes, sheets etc.

Cigarette Butts, 27%

Glass, 6%

Metal , 9%

Miscellaneous, 5%

Paper/ paperboard, 24%

Plastic, 28%

Items as Proportions of Total by Material Type

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26

114

72

97

36

102

87

77

133

139

119

171

68

298

180

199

56

627

1202

2768

34

89

83

151

49

87

70

75

119

104

111

142

75

313

174

229

123

696

1172

2527

33

114

49

82

89

95

59

46

144

192

68

199

125

314

176

237

156

675

1005

2209

56

58

71

75

88

95

110

112

118

167

168

179

197

213

270

270

478

1096

1426

2232

0 500 1000 1500 2000 2500 3000

METAL - Flav. water/soft drink, (carbonated), all sizes

PAPER/PAPERBOARD - Coffee cups

PLASTIC - Packing tape & straps

PAPER/PAPERBOARD - Packages & boxes

PLASTIC - Lollipop sticks

PAPER/PAPERBOARD - Shopper dockets& related shopping paper (eg. lists)

METAL - Metal pieces

MISCELLANEOUS - Rubber pieces (not tyres)

PAPER/PAPERBOARD - Cups/take away containers

PLASTIC - Take away & cups

MISCELLANEOUS - Clothing & materials

PLASTIC - Straws

METAL - Other foil

PLASTIC - Snack bags & confectionery wrappers

METAL - Metal bottle tops and can pull rings

PLASTIC - Plastic bottle tops

GLASS - Other glass

PLASTIC - Other plastic

PAPER/PAPERBOARD - Other paper (includingtissues)

CIGARETTE BUTTS

Items

TOP 20 CATEGORIES - HIGHEST COUNTS

Nov.19 May.19 Nov.18 May.18

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Litter Volume

The total volume of litter recorded in November 2019 amounted to 0.744 cubic metres, lower

than the estimated litter volume of May 2019 (0.810m³) and lower than of November 2018

(0.930m³) conducted at the same time in the previous year.

The largest proportion of litter volume for Wave 77 was contributed by miscellaneous items

(49%, up from 28% in Wave 77). Other material types represented the following proportions

of the total volume of litter items counted:

• Paper Items (23%, down from 30% in Wave 77)

• Plastic items (16%, down from 30% in Wave 77)

• Metal (5%, unchanged from 5% in Wave 77)

• Glass (6%, up from 6% in Wave 77)

• Cigarette butts (<1%, unchanged from Wave 77)

MISCELLANEOUS - Illegal dumping accounted for the highest volume of litter in Wave 78, with

an estimated volume of 0.336m³ (up from 0.216m³ in Wave 77). Other items associated with

large estimated litter volumes in Wave 78 included:

• PAPER/PAPERBOARD - Cups/take away containers - 0.086m³ (down from 0.105m³ in

Wave 77)

• PLASTIC – Take away & cups - 0.035m³ (down from 0.040m³ in Wave 77)

• PAPER/PAPERBOARD – Coffee cups - 0.028m³ (down from 0.056m³ in Wave 77)

• PLASTIC - Containers, domestic type - 0.025m³ (down from 0.125m³ in Wave 77)

Cigarette Butts, <1%

Glass, 4%

Metal , 8%

Miscellaneous, 49%Paper/ paperboard,

23%

Plastic, 16%

Litter Volume as a Proportion of Total Volume

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• METAL – Flavoured water / soft drink (carbonated), all sizes - 0.024m³ (up from

0.014m³ in Wave 77)

• PLASTIC - Containers, industrial e.g. oil - 0.022m³ (up from nil in Wave 77)

• METAL – Foil take away - 0.019m³ (up from 0.011m³ in Wave 77)

• MISCELLANEOUS – Construction materials - 0.014m³ (up from 0.003m³ in Wave 77)

• GLASS– Beer, all colours of glass, <750ml - 0.012m³ (unchanged from 0.012m³ in Wave

77)

• PAPER/PAPERBOARD – Cigarette packets - 0.010m³ (down from 0.019m³ in Wave 77)

• PAPER/PAPERBOARD – Flavoured milk <1 litre - 0.010m³ (down from 0.012m³ in Wave

77)

The top 20 ranking of litter items by volume in Wave 78 was similar to the results for Wave

77, with 7 new items entering the Top 20. These items were:

• PLASTIC – Containers, industrial e.g. oil

• MISCELLANEOUS – Construction materials

• GLASS – Other glass

• MISCELLANEOUS – Tyres & pieces

• METAL – Alcoholic sodas & spirit-based mixers

• PLASTIC – Plain water (carbonated or non-carbonated) 1 litre+

• METAL – Food cans (including pet food)

With new entrants, there are always those items that exit from the top 20 volume list, in Wave

78 the following items were removed:

• PLASTIC – Plain water (carbonated or non-carbonated) <1 litre

• PLASTIC –White milk, all sizes

• PLASTIC – Flavoured water/soft drink (carbonated) <1 litre

• PLASTIC – Flavoured milk <1 litre

• PLASTIC – Flavoured water/fruit juice drink / sports drink (non-carbonated), <1 litre

• METAL – Beer, aluminium, all types, all sizes

• GLASS – Beer, all colours of glass, 750ml+

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0.009

0.015

0.008

0.000

0.008

0.005

0.028

0.001

0.006

0.014

0.010

0.010

0.015

0.180

0.011

0.200

0.056

0.029

0.097

0.312

0.002

0.015

0.012

0.003

0.006

0.005

0.045

0.002

0.008

0.013

0.012

0.010

0.010

0.000

0.014

0.158

0.044

0.022

0.087

0.336

0.005

0.008

0.007

0.000

0.003

0.005

0.030

0.003

0.012

0.019

0.012

0.003

0.011

0.000

0.014

0.125

0.056

0.040

0.105

0.216

0.006

0.006

0.006

0.006

0.008

0.008

0.008

0.009

0.010

0.010

0.012

0.014

0.019

0.022

0.024

0.025

0.028

0.035

0.086

0.336

0.0 0.1 0.1 0.2 0.2 0.3 0.3 0.4 0.4

METAL - Food cans(including pet food)

PAPER/PAPERBOARD -Junk mail/free circulars

PAPER/PAPERBOARD -Packages & boxes

PLASTIC - Plain water(carbonated or non-carb),

1 litre+

METAL - Alcoholic sodas& spirit-based mixers

MISCELLANEOUS - Tyres& pieces

PAPER/PAPERBOARD -Newspapers & magazines

GLASS - Other glass

PAPER/PAPERBOARD -Cartons, flavoured milk, <1

litre

PAPER/PAPERBOARD -Cigarette packets

GLASS - Beer, all coloursof glass, <750ml

MISCELLANEOUS -Construction materials

METAL - Foil take away

PLASTIC - Containers,industrial e.g. oil

METAL - Flav. water/softdrink, (carbonated), all

sizes

PLASTIC - Containers,domestic type

PAPER/PAPERBOARD -Coffee cups

PLASTIC - Take away &cups

PAPER/PAPERBOARD -Cups/take away

containers

MISCELLANEOUS -Illegal dumping

Cubic metres

TOP 20 CATEGORIES - LARGEST VOLUMES

Nov.19 May.19 Nov.18 May.18

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3.1 Glass

Items

A total of 495 glass litter items (up from 227 items in Wave 77) were counted during Wave

78. The most frequently recorded glass items included:

• Other glass (478 items, up from 156 items in Wave 77)

• Beer, all colours of glass <750ml (25 items, down from 26 items in Wave 77)

• Flavoured water/ soft drink (carbonated), < 1 litre (14 items, up from 4 item in Wave

77)

• Wine & spirits, all sizes (3 items, unchanged from 3 items in Wave 77)

• Alcoholic sodas / spirit-based mixers, all sizes (1 item, down from 4 item in Wave 77)

0

5

0

21

56

6

7

2

26

123

4

3

4

26

156

1

3

14

25

478

0 100 200 300 400 500 600

Alcoholic sodas/spirit-basedmixers, all sizes

Wine & spirit, all sizes

Flav. water/soft drink(carbonated), <1 litre

Beer, all colours of glass,<750ml

Other glass

Items counted

GLASS ITEMS - COUNTS- top 5 -

Nov.19 May.19 Nov.18 May.18

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Volume

Glass litter items accounted for 0.032m³ (down from 0.049m³ in Wave 77) in estimated litter

volume during Wave 78. Glass items which contributed the largest volumes to the total

included:

• Beer, all colours of glass <750ml (0.012m³, unchanged from 0.012m³ in Wave 77)

• Other glass (0.009m³, up from 0.003m³ in Wave 77)

• Flavoured water / soft drink (carbonated), < 1 litre (0.006m³, up from 0.002m³ in Wave

77)

• Flavoured water / soft drink (carbonated), 1 litre+ (0.001m³, up from 0.000m³ in Wave

77)

• Flavoured water / fruit juice / soft drink (non-carbonated), < 1 litre (0.001m³, up from

0.000m³ in Wave 77)

0.001

0.000

0.000

0.001

0.010

0.000

0.001

0.001

0.002

0.012

0.000

0.000

0.002

0.003

0.012

0.001

0.001

0.006

0.009

0.012

0.00 0.00 0.00 0.01 0.01 0.01 0.01 0.01

Flav. water/fruit j.drink/sports drink (non-carb),

<1 litre

Flav. water/soft drink(carbonated), 1 litre+

Flav. water/soft drink(carbonated), <1 litre

Other glass

Beer, all colours of glass,<750ml

Cubic metres

GLASS ITEMS - VOLUMES -- top 5 -

Nov.19 May.19 Nov.18 May.18

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3.2 Metal

Items

A total of 709 metal litter items (up from 455 items in Wave 77) were counted during Wave

78. The most frequently counted metal litter items included:

• Metal bottle tops and can pull rings (270 items, up from 176 items in Wave 77)

• Other foil (197 items, up from 125 items in Wave 77)

• Metal pieces (110 items, up from 59 items in Wave 77)

• Flavoured water/soft drink (carbonated), all sizes (56 items, up from 33 items in Wave

77)

• Foil take away (42 items, up from 24 items in Wave 77)

32

26

87

68

180

21

34

70

75

174

24

33

59

125

176

42

56

110

197

270

0 50 100 150 200 250 300

Foil take away

Flav. water/soft drink,(carbonated), all sizes

Metal pieces

Other foil

Metal bottle tops and can pullrings

Items counted

METAL ITEMS - COUNTS - top 5 -

Nov.19 May.19 Nov.18 May.18

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Volume

Metal litter items accounted for a total estimated litter volume of 0.061m³ (up from 0.044m³

in Wave 77). The metal items associated with the largest estimated volumes of litter during

Wave 78 included:

• Flavoured water/soft drink (carbonated), all sizes (0.024m³, up from 0.014m³ in Wave

77)

• Foil take away (0.019m³, up from 0.011m³ in Wave 77)

• Alcoholic sodas & spirit-based mixers (0.008m³, up from 0.003m³ in Wave 77)

• Food cans (including pet food) (0.006m³, up from 0.005m³ in Wave 77)

• Metal pieces (0.001m³, unchanged from 0.001m³ in Wave 77)

0.001

0.009

0.008

0.015

0.011

0.001

0.002

0.006

0.010

0.014

0.001

0.005

0.003

0.011

0.014

0.001

0.006

0.008

0.019

0.024

0.00 0.01 0.01 0.02 0.02 0.03 0.03

Metal pieces

Food cans (including petfood)

Alcoholic sodas & spirit-based mixers

Foil take away

Flav. water/soft drink,(carbonated), all sizes

Cubic metres

METAL ITEMS - VOLUMES- top 5

Nov.19 May.19 Nov.18 May.18

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3.3 Plastic

Items

A total of 2,297 plastic litter items (up from 2,069 items in Wave 77) were counted during

Wave 78. The most frequently counted plastic litter items included:

• Other plastic (1,096 items, up from 675 items in Wave 77)

• Plastic bottle tops (270 items, up from 237 items in Wave 77)

• Snack bags & confectionery wrappers (213 items, down from 314 items in Wave 77)

• Straws (179 items, down from 199 items in Wave 77)

• Take away & cups (167 items, down from 192 items in Wave 77)

139

171

298

199

627

104

142

313

229

696

192

199

314

237

675

167

179

213

270

1096

0 200 400 600 800 1000 1200

Take away & cups

Straws

Snack bags &confectionery wrappers

Plastic bottle tops

Other plastic

Items counted

PLASTIC ITEMS - COUNTS- top 5

Nov.19 May.19 Nov.18 May.18

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Volume

Plastic items were associated with an estimated litter volume of 0.121m³ (down from 0.242m³

in Wave 77). Items which represented the largest volumes within the Wave 78 litter count

included:

• Take away & cups (0.035m³, down from 0.040m³ in Wave 77)

• Containers, domestic type (0.025m³, down from 0.125m³ in Wave 77)

• Containers, industrial type (0.022m³, up from nil in Wave 77)

• Plain water carbonated or non-carbonated, 1 litre+ (0.006m³, up from nil in Wave 77)

• Flavoured water/soft drink (non-carbonated), <1 litre (0.004m³, down from 0.007m³ in

Wave 77)

0.003

0.000

0.180

0.200

0.029

0.000

0.003

0.000

0.158

0.022

0.007

0.000

0.000

0.125

0.040

0.004

0.006

0.022

0.025

0.035

0.00 0.05 0.10 0.15 0.20 0.25

Flav. water/fruit j. drink/sportsdrink (non-carb), <1 litre

Plain water (carbonated or non-carb), 1 litre+

Containers, industrial e.g. oil

Containers, domestic type

Take away & cups

Cubic metres

PLASTIC ITEMS - VOLUMES- top 5

Nov.19 May.19 Nov.18 May.18

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3.4 Paper/ Paperboard

Items

A total of 1,999 paper/paperboard litter items (up from 1,743 items in Wave 77) were

recorded during Wave 78.

The most frequently identified items within this material type were:

• Other paper – including tissues (1,426 items, up from 1,005 items in Wave 77)

• Cups/ take away containers (118 items, down from 144 items in Wave 77)

• Shopper dockets & related shopping paper (e.g. lists) (95 items, unchanged from 95

items in Wave 77)

• Packages & boxes (75 items, down from 82 items in Wave 77)

• Coffee cups (58 items, down from 114 items in Wave 77)

114

97

102

133

1202

89

151

87

119

1172

114

82

95

144

1005

58

75

95

118

1426

0 200 400 600 800 1000 1200 1400 1600

Coffee cups

Packages & boxes

Shopper dockets & relatedshopping paper (eg. lists)

Cups/take away containers

Other paper (including tissues)

Items counted

PAPER/ PAPERBOARD ITEMS - COUNTS- top 5

Nov.19 May.19 Nov.18 May.18

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Volume

Paper/ Paperboard items accounted for 0.168m³ in estimated litter volume (down from

0.245m³ in Wave 77) in November 2019.

Paper/ paperboard items which contributed the largest volumes to the total included:

• Cups/take away containers (0.086m³, down from 0.105m³ in Wave 77)

• Coffee cups (0.028m³, down from 0.056m³ in Wave 77)

• Cigarette packets (0.010m³, down from 0.019m³ in Wave 77)

• Cartons, flavoured milk, < 1 litre (0.010m³, down from 0.012m³ in Wave 77)

• Newspapers & magazines (0.008m³, down from 0.030m³ in Wave 77)

0.028

0.006

0.014

0.056

0.097

0.045

0.008

0.013

0.044

0.087

0.030

0.012

0.019

0.056

0.105

0.008

0.010

0.010

0.028

0.086

0.00 0.02 0.04 0.06 0.08 0.10 0.12

Newspapers & magazines

Cartons, flavoured milk, <1litre

Cigarette packets

Coffee cups

Cups/take away containers

Cubic metres

PAPER/ PAPERBOARD ITEMS - VOLUMES- top 5

Nov.19 May.19 Nov.18 May.18

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3.5 Miscellaneous

Items

A total of 444 miscellaneous items (up from 215 items in Wave 77) were counted during Wave

78.

The most frequently recorded items included:

• Clothing & materials (168 items, up from 68 items in Wave 77)

• Rubber pieces – not tyres (112 items, up from 46 items in Wave 77)

Rubber pieces in this category include vehicle rubber mouldings, hose pipes and

tubing, bicycle handlebar grips and casings, pram mouldings and strips.

• Construction materials (38 items, up from 9 items in Wave 77)

• Ice cream sticks (36 items, up from 24 items in Wave 77)

• Tyres & pieces (35 items, up from 20 items in Wave 77)

21

10

28

77

119

20

9

28

75

111

20

24

9

46

68

35

36

38

112

168

0 50 100 150 200

Tyres & pieces

Ice cream sticks

Construction materials

Rubber pieces (not tyres)

Clothing & materials

Items counted

MISCELLANEOUS ITEMS - COUNTS- top 5

Nov.19 May.19 Nov.18 May.18

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Volume

Miscellaneous litter was associated with an estimated litter volume of 0.362m³ (up from

0.230m³ in Wave 77) during Wave 78.

Illegal dumping remained the major contributor to the total volume of miscellaneous items,

with an estimated total volume of 0.336m³ (up from 0.216m³ in Wave 77).

Other miscellaneous items which contributed to the litter stream volume included:

• Construction materials (0.014m³, up from 0.003m³ in Wave 77)

• Tyres & pieces (0.008m³, up from 0.005m³ in Wave 77)

• Clothing and materials (0.003m³, up from 0.002m³ in Wave 77)

• Disposable nappies (0.001m³, down from 0.006m³ in Wave 77)

0.003

0.002

0.005

0.010

0.312

0.006

0.002

0.005

0.010

0.336

0.005

0.001

0.005

0.003

0.216

0.001

0.003

0.008

0.014

0.336

0.00 0.05 0.10 0.15 0.20 0.25 0.30 0.35 0.40

Disposable nappies

Clothing & materials

Tyres & pieces

Constructionmaterials

Illegal dumping

Cubic metres

MISCELLANEOUS ITEMS - VOLUMES- top 5

Nov.19 May.19 Nov.18 May.18

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3.6 Cigarette Butts

Items

The total number of cigarette butts recorded during Wave 78 was 2,232, up from 2,209 in

Wave 77 and also 2,527 in Wave 76 at the same time the previous year.

The proportion of cigarette butts against the total number of litter items was highest at Retail

sites (54%, down from 66% in Wave 77). Cigarette butts also contributed the following

proportions of total litter at the following site types:

• Car parks (41%, down from 42% in Wave 77)

• Shopping centres (40%, down from 55% in Wave 77)

• Industrial sites (23%, unchanged from 23% in Wave 77)

• Beaches (20%, down from 29% in Wave 77)

• Residential sites (20%, up from 18% in Wave 77)

• Recreational parks (19%, unchanged from 19% in Wave 77)

• Highway sites (13%, down from 19% in Wave 77)

20%

31%

11%

38%

28%

61%

52%

63%

21%

20%

12%

43%

22%

73%

33%

61%

19%

19%

18%

29%

23%

55%

42%

66%

13%

19%

20%

20%

23%

40%

41%

54%

0% 10% 20% 30% 40% 50% 60% 70% 80%

Highway

Recreational Park

Residential

Beach

Industrial

Shopping Centre

Car Park

Retail

% of total litter at each site type

CIGARETTE BUTTS AS A PROPORTION OF TOTAL LITTER AT EACH SITE TYPE

Nov.19 May.19 Nov.18 May.18

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Volume

Despite cigarette butts being the most numerous type of litter item, they accounted for less

than 1% of the total volume of litter recorded during the current Wave.

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3.7 Dispersion of Litter by Site Type

Items

Highways remained the most significant contributor to the total number of litter items

counted in November 2019 with 34% (unchanged from 34% in Wave 77) of the total litter

items counted at highway locations.

Other sites contributed the following proportions of the total number of litter items counted

during Wave 78:

• Car Park (23%, up from 17% in Wave 77)

• Industrial (12%, down from 14% in Wave 77)

• Shopping Centre (9%, down from 13% in Wave 77)

• Retail (8%, unchanged from 8% in from Wave 77)

• Residential (6%, down from 7% in Wave 77)

• Recreational Park (4%, up from 3% in Wave 77)

• Beach (3%, down from 4% from Wave 77)

Recreational Park, 4% Beach, 3%

Residential, 6%

Retail, 8%

Shopping Centre, 9%

Industrial, 12%Car Park, 23%

Highway, 34%

PROPORTION OF TOTAL LITTER ITEMS COUNTED WITHIN SITE TYPE

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A comparison of the proportions of litter items found at each site type revealed that highway

locations and car parks contributed large amounts to the total number of litter items in the

May Monitor, based on the proportion of the number of these sites as outlined below:

• Highway sites represented only 18% of the total number of sites surveyed and

contributed 34% (unchanged from 34% in Wave 77) of the total litter items counted in

Wave 78.

• Car parks incorporated 15% of the sites surveyed and contributed 23% (up from 17%

in Wave 77) of the litter items counted in Wave 78.

Conversely, residential locations and beaches contributed smaller proportions of litter items

to the total litter count than anticipated based upon the proportion of these sites within the

overall sample of locations as detailed below:

• Residential areas incorporated 17% of the sites surveyed but contributed only 6%

(down from 7% in Wave 77) of the litter items counted in Wave 78.

• Beaches represented 11% of the sites surveyed but contributed only 3% (down from

4% in Wave 77) of the litter counted in Wave 78.

The remaining sites contributed around the expected proportions of litter based on the

proportion of these sites among the overall number of sites counted during May 2019, the

proportions were:

• Industrial sites incorporated 11% of the sites surveyed and contributed 12% (down

from 14% in Wave 77) of the total litter items counted in Wave 78.

• Retail areas - incorporated 10% of the sites surveyed and contributed 8% (unchanged

from 8% in Wave 77) of the litter items counted in Wave 78.

• Shopping centres - incorporated 9% of the sites surveyed and contributed 9% (down

from 13% in Wave 77) of the litter items counted in Wave 78.

• Recreational Parks represented 9% of sites surveyed and contributed 4% (up from 3%

in Wave 77) of the litter counted in Wave 78.

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3%

4%

4%

5%

5%

4%

4%

5%

3%

3%

4%

3%

15%

15%

14%

19%

19%

17%

15%

18%

18%

14%

17%

23%

36%

31%

34%

31%

28%

27%

29%

30%

35%

33%

34%

34%

17%

18%

18%

14%

17%

16%

17%

11%

9%

14%

14%

12%

3%

5%

4%

5%

5%

5%

7%

5%

4%

4%

3%

4%

6%

7%

6%

6%

8%

9%

8%

7%

7%

7%

7%

6%

10%

11%

9%

11%

9%

10%

10%

11%

10%

10%

8%

8%

10%

9%

11%

11%

10%

12%

10%

12%

15%

15%

13%

9%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Nov.14

Feb.15

May.15

Nov.15

May.16

Nov.16

May.17

Nov.17

May.18

Nov.18

May.19

Nov.19

% of total

PROPORTION OF TOTAL LITTER ITEMS COUNTED WITHIN SITE TYPE - tracking -

Beach Car Park Highway Industrial Recreational Park Residential Retail Shopping Centre

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Volume

Just over half (51%, up from 45% in Wave 77) of the total volume of litter estimated during

Wave 78 was associated with litter items in highway locations, while one fifth (20%, down

from 34% in Wave 77) was associated with litter items in industrial sites.

Lower volumes of litter were contributed to the total litter volume by residential sites (14%,

up from 4% in Wave 77), car park sites (7%, up from 10% in Wave 77), retail sites (5%, up from

0.5% in Wave 77), shopping centres (2%, down from 3% in Wave 77), recreational park sites

(1%, unchanged from 1% in Wave 77) and beaches (0.5%, down from 1% in Wave 77) during

Wave 78.

A comparison of the litter volume, number of litter items and proportion of sites represented

within location types shows that highway locations contributed a larger number and volume

of litter items than would be expected given their representations within the sample.

Beach, 0.5%

Car Park, 7%

Highway, 51%

Industrial, 20% Recreational Park, 1%

Residential, 14%

Retail, 5%

Shopping Centre, 2%

PROPORTION OF TOTAL LITTER VOLUME BY SITE TYPE

11%

3%

0.5%

15%

23%

7%

18%

34%

51%

11%

12%

20%

9%

4%

1%

17%

6%

14%

10%

8%

5%

9%

9%

2%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

% of total number of sites counted

% of total items counted

% of total litter volume

% of total

NUMBER AND VOLUME OF LITTER BY SITE TYPE AS PROPORTIONS OF TOTALS

Beach Car park Highway Industrial Recreational park Residential Retail Shopping centre

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3.8 CDL Beverage Containers

The majority (98%, up from 97% in Wave 77) of litter items counted in November 2019 were

non-beverage items.

The total number of CDL beverage containers counted was 172 items, up from 218 items in

Wave 77.

CDL beverage containers accounted for 96% (up from 94% in Wave 77) of all beverage

containers counted during Wave 78.

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Data Summary - Items

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- 32 -

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Data Summary - Volumes

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Appendix 1: Tracking Graphs

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Weighting of Previous Results

Since February 2006 (Wave 32), 11 revised sites have been surveyed concurrently with

the 151 original sites included within the litter monitor program since its inception in

February 1998. The new and old sites were surveyed simultaneously across four Waves

of the monitor.

These 11 revised sites have previously been surveyed concurrently with the 151 original

sites to replace 11 of the original sites that were found to be unusual in nature, and

analyses have typically focused on results for the 151 sites including the 11 new sites

and the 151 sites including the 11 old sites separately.

However, in counts since the February 2007 Monitor only the 151 revised sites

(incorporating the 11 new locations) have been surveyed. In order to facilitate tracking

comparisons, figures prior to February 2007 have been weighted based upon the

variations between results corresponding to the 151 sites including the 11 new sites and

the 151 sites including the 11 old sites.

Weighting techniques were based upon comparisons of figures for items and volumes

recorded during Waves 32, 33, 34 and 35 across all sites incorporating either the 11

original or 11 revised sites. Differences between such figures provided indices of the

degree of consistent variation between original and revised site litter data, and reliable

weightings were thereby established.

Figures which have been weighted included:

• Absolute values (counts and volumes) within material categories and site types,

since the inclusion of the revised sites resulted in differences in nearly all absolute

values of counted litter.

• Comparisons between proportional representation of litter across site types, due

to the fact that site revision altered the proportions of litter contributed to the

total litter stream within certain site categories whilst others remained

unchanged.

However, preliminary investigations demonstrated that proportional contribution to the

total litter stream within material types was consistently similar between the original

and revised site sets. This finding supports the assumption that whilst the quantities of

litter recorded differed between old and new sites, the types of materials present within

such litter were relatively consistent. For this reason, proportional figures within

material types did not require weighting.

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Old New Diff

New as %

of Old Old New Diff

New as %

of Old Old New Diff

New as % of

Old Old New Diff

New as % of

Old

Glass 419 311 108 0.74224344 349 293 56 0.83954155 321 281 40 0.87538941 305 249 56 0.81639344

Metal 1505 1218 287 0.80930233 1450 1099 351 0.75793103 1440 1086 354 0.75416667 1517 1183 334 0.77982861

Plastic 5447 3819 1628 0.70111988 5261 3866 1395 0.73484128 5057 3575 1482 0.70694087 5332 3827 1505 0.71774194

Paper/ paperboard 4299 2969 1330 0.69062573 3820 3003 817 0.78612565 4017 2961 1056 0.73711725 3616 2752 864 0.76106195

Miscellaneous 1286 975 311 0.75816485 1057 814 243 0.77010407 1025 815 210 0.79512195 1150 944 206 0.82086957

Cigarette Butts 7600 5744 1856 0.75578947 9606 6814 2792 0.70934832 10950 6959 3991 0.63552511 10875 6474 4401 0.59531034

TOTAL 20556 15036 5520 0.73146527 21543 15889 5654 0.73754816 22810 15677 7133 0.68728628 22795 15429 7366 0.67685896

AVERAGE New as % of Old 0.74124442 0.76220572 0.74164965 0.73829497

OVERALL Mean New as % of Old 0.7458

Items within material categories across all

151 sites including either 11 original or 11

revised sites

Wave 32 Wave 35Wave 34Wave 33

Re

sid

en

tia

l

Be

ach

Ind

us

tria

l

Ca

r P

ark

Sh

op

pin

g C

en

tre

Re

tail

Re

cre

ati

on

al P

ark

Hig

hw

ay

Metr

op

oli

tan

Re

gio

na

l

TO

TA

L

Old 1187 1016 2395 2194 1261 1517 617 10369 17020 3536 20556

New 1187 1016 2196 2064 1292 1517 617 5147 11500 3536 15036

Diff 0 0 199 130 -31 0 0 5222 5520 0 5520

New as % of Old 1 1 0.92 0.94 1.02 1 1 0.50 0.68 1 7.3786248

Old 1227 737 2573 3142 2323 1659 590 9292 17788 3755 21543

New 1227 737 2428 2722 1919 1659 590 4607 12134 3755 15889

Diff 0 0 145 420 404 0 0 4685 5654 0 5654

New as % of Old 1 1 0.94 0.87 0.83 1 1 0.50 0.68 1 7.1318625

Old 1185 721 2498 3365 1853 1670 479 11039 18749 4061 22810

New 1185 721 2077 2724 1155 1670 479 5666 11616 4061 15677

Diff 0 0 421 641 698 0 0 5373 7133 0 7133

New as % of Old 1 1 0.83 0.81 0.62 1 1 0.51 0.62 1 6.7775595

Old 1134 728 2705 2601 2232 1801 729 10865 18640 4155 22795

New 1134 728 2399 2156 1157 1801 729 5325 11274 4155 15429

Diff 0 0 306 445 1075 0 0 5540 7366 0 7366

New as % of Old 1 1 0.89 0.83 0.52 1 1 0.49 0.60 1 6.7242631

1 1 0.89 0.86 0.75 1 1 0.50 0.65 1 7.0030775

Items within site type across all 151

sites including either 11 original or 11

revised sites

Average New as % of Old

Wave 32

Wave 33

Wave 34

Wave 35

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Re

sid

en

tia

l

Be

ach

Ind

us

tria

l

Ca

r P

ark

Sh

op

pin

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en

tre

Re

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Re

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ark

Hig

hw

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Metr

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tan

Re

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TO

TA

L

Old 1187 1016 2395 2194 1261 1517 617 10369 17020 3536 20556

New 1187 1016 2196 2064 1292 1517 617 5147 11500 3536 15036

Old % of total items 5.8% 4.9% 11.7% 10.7% 6.1% 7.4% 3.0% 50.4% 82.8% 17.2%

New % of total items 7.9% 6.8% 14.6% 13.7% 8.6% 10.1% 4.1% 34.2% 76.5% 23.5%

% change from Old to New 2.1% 1.8% 3.0% 3.1% 2.5% 2.7% 1.1% -16.2% -6.3% 6.3%

Old 1227 737 2573 3142 2323 1659 590 9292 17788 3755 21543

New 1227 737 2428 2722 1919 1659 590 4607 12134 3755 15889

Old % of total items 5.7% 3.4% 11.9% 14.6% 10.8% 7.7% 2.7% 43.1% 82.6% 17.4%

New % of total items 7.7% 4.6% 15.3% 17.1% 12.1% 10.4% 3.7% 29.0% 76.4% 23.6%

% change from Old to New 2.0% 1.2% 3.3% 2.5% 1.3% 2.7% 1.0% -14.1% -6.2% 6.2%

Old 1185 721 2498 3365 1853 1670 479 11039 18749 4061 22810

New 1185 721 2077 2724 1155 1670 479 5666 11616 4061 15677

Old % of total items 5.2% 3.2% 11.0% 14.8% 8.1% 7.3% 2.1% 48.4% 82.2% 17.8%

New % of total items 7.6% 4.6% 13.2% 17.4% 7.4% 10.7% 3.1% 36.1% 74.1% 25.9%

% change from Old to New 2.4% 1.4% 2.3% 2.6% -0.8% 3.3% 1.0% -12.3% -8.1% 8.1%

Old 1134 728 2705 2601 2232 1801 729 10865 18640 4155 22795

New 1134 728 2399 2156 1157 1801 729 5325 11274 4155 15429

Old % of total items 5.0% 3.2% 11.9% 11.4% 9.8% 7.9% 3.2% 47.7% 81.8% 18.2%

New % of total items 7.3% 4.7% 15.5% 14.0% 7.5% 11.7% 4.7% 34.5% 73.1% 26.9%

% change from Old to New 2.4% 1.5% 3.7% 2.6% -2.3% 3.8% 1.5% -13.2% -8.7% 8.7%

2% 1% 3% 3% 0% 3% 1% -14% -7% 7%

Proportions of total items within site

type across all 151 sites including

either 11 original or 11 revised sites

Wave 32

Wave 33

Wave 34

Wave 35

Average % difference from Old to New

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- 41 -

Old New Diff

New as

% of

Old Old New Diff

New as

% of

Old Old New Diff

New as

% of

Old Old New Diff

New as

% of

Old

Glass 0.11965 0.09027 0.02939 0.75438 0.08663 0.06859 0.01804 0.79173 0.08559 0.07086 0.01473 0.82789 0.06907 0.05316 0.01591 0.76962

Metal 0.22261 0.19846 0.02415 0.8915 0.15196 0.13181 0.02015 0.86741 0.15085 0.10952 0.04132 0.72605 0.17499 0.15130 0.02369 0.86463

Plastic 1.16278 0.72042 0.44235 0.61957 0.90407 0.71848 0.18559 0.79472 0.93411 0.63312 0.30099 0.67778 0.88814 0.67589 0.21225 0.76102

Paper/ paperboard 0.71375 0.41932 0.29443 0.58749 0.47904 0.36017 0.11888 0.75184 0.54568 0.35535 0.19033 0.6512 0.50410 0.35413 0.14998 0.70249

Miscellaneous 1.11014 0.83415 0.27599 0.75139 0.84900 0.61172 0.23727 0.72052 0.78143 0.71261 0.06882 0.91194 2.14021 1.97182 0.16839 0.92132

Cigarette Butts 0.00009 0.00007 0.00002 0.75515 0.00011 0.00008 0.00003 0.70935 0.00013 0.00008 0.00005 0.63553 0.00013 0.00007 0.00005 0.59531

TOTAL 3.32902 2.26269 1.06633 0.67969 2.47082 1.89085 0.57996 0.76528 2.49778 1.88155 0.61624 0.75329 3.77664 3.20638 0.57026 0.849

AVERAGE New as % of Old 0.71988 0.77155 0.74052 0.78049

OVERALL MEAN DIFFERENCE 0.7531

Volumes within material categories

across all 151 sites including either 11

original or 11 revised sites

Wave 32 Wave 33 Wave 34 Wave 35

Resid

en

tial

Beach

Ind

ustr

ial

Car

Park

Sh

op

pin

g C

en

tre

Reta

il

Recre

ati

on

al P

ark

Hig

hw

ay

Metr

op

oli

tan

Reg

ion

al

TO

TA

L

Old 0.05441 0.02998 0.57970 0.13090 0.01177 0.01877 0.02922 2.47428 2.54585 0.78318 3.32902

New 0.05441 0.02998 0.57922 0.17275 0.00965 0.01877 0.02922 1.36868 1.47951 0.78318 2.26269

Diff 0.00048 -0.04186 0.00212 1.10559 1.06633

New as % of Old 1 1 0.99917 1.31979 0.82005 1 1 0.55317 0.58115 1

Old 0.06600 0.03600 0.54200 0.07100 0.03000 0.02100 0.04100 1.66400 1.85500 0.61500 2.47100

New 0.06600 0.03600 0.53900 0.07000 0.01000 0.02100 0.04100 1.10700 1.27500 0.61500 1.89000

Diff 0.00300 0.00100 0.02000 0.55700 0.58000

New as % of Old 1 1 0.99446 0.98592 0.33333 1 1 0.66526 0.68733 1

Old 0.07800 0.06500 0.41100 0.14100 0.05000 0.01200 0.00600 1.73400 1.87300 0.62500 2.49700

New 0.07800 0.06500 0.40000 0.14000 0.00900 0.01200 0.00600 1.17100 1.25700 0.62500 1.88100

Diff 0.01100 0.00100 0.04100 0.56300 0.61600

New as % of Old 1 1 0.97324 0.99291 0.18000 1 1 0.67532 0.67112 1

Old 0.17400 0.01700 0.58800 0.13000 0.05300 0.05900 0.01700 2.73700 2.12500 1.65200 3.77500

New 0.17400 0.01700 0.58600 0.14600 0.03700 0.05900 0.01700 2.16900 1.55500 1.65200 3.20500

Diff 0.00200 -0.01600 0.01600 0.56800 0.57000

New as % of Old 1 1 1.00 1.12 0.70 1 1 0.79 0.73 1

1 1 0.99 1.11 0.51 1 1 0.67 0.67 1

Wave 35

Average New as % of Old

Volumes within site type across all

151 sites including either 11 original

or 11 revised sites

Wave 32

Wave 33

Wave 34

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- 42 -

Re

sid

en

tia

l

Be

ach

Ind

us

tria

l

Ca

r P

ark

Sh

op

pin

g C

en

tre

Re

tail

Re

cre

ati

on

al P

ark

Hig

hw

ay

Metr

op

oli

tan

Re

gio

na

l

TO

TA

L

Old 0.05441 0.02998 0.57970 0.13090 0.01177 0.01877 0.02922 2.47428 2.54585 0.78318 3.32902

New 0.05441 0.02998 0.57922 0.17275 0.00965 0.01877 0.02922 1.36868 1.47951 0.78318 2.26269

Old % of total volume 1.6% 0.9% 17.4% 3.9% 0.4% 0.6% 0.9% 74.3% 76.5% 23.5%

New % of total volume 2.4% 1.3% 25.6% 7.6% 0.4% 0.8% 1.3% 60.5% 65.4% 34.6%

% change from Old to New 0.8% 0.4% 8.2% 3.7% 0.1% 0.3% 0.4% -13.8% -11.1% 11.1%

Old 0.06600 0.03600 0.54200 0.07100 0.03000 0.02100 0.04100 1.66400 1.85500 0.61500 2.47100

New 0.06600 0.03600 0.53900 0.07000 0.01000 0.02100 0.04100 1.10700 1.27500 0.61500 1.89000

Old % of total volume 2.7% 1.5% 21.9% 2.9% 1.2% 0.8% 1.7% 67.3% 75.1% 24.9%

New % of total volume 3.5% 1.9% 28.5% 3.7% 0.5% 1.1% 2.2% 58.6% 67.5% 32.5%

% change from Old to New 0.8% 0.4% 6.6% 0.8% -0.7% 0.3% 0.5% -8.8% -7.6% 7.7%

Old 0.07800 0.06500 0.41100 0.14100 0.05000 0.01200 0.00600 1.73400 1.87300 0.62500 2.49700

New 0.07800 0.06500 0.40000 0.14000 0.00900 0.01200 0.00600 1.17100 1.25700 0.62500 1.88100

Old % of total volume 3.1% 2.6% 16.5% 5.6% 2.0% 0.5% 0.2% 69.4% 75.0% 25.0%

New % of total volume 4.1% 3.5% 21.3% 7.4% 0.5% 0.6% 0.3% 62.3% 66.8% 33.2%

% change from Old to New 1.0% 0.9% 4.8% 1.8% -1.5% 0.2% 0.1% -7.2% -8.2% 8.2%

Old 0.17400 0.01700 0.58800 0.13000 0.05300 0.05900 0.01700 2.73700 2.12500 1.65200 3.77500

New 0.17400 0.01700 0.58600 0.14600 0.03700 0.05900 0.01700 2.16900 1.55500 1.65200 3.20500

Old % of total volume 4.6% 0.5% 15.6% 3.4% 1.4% 1.6% 0.5% 72.5% 56.3% 43.8%

New % of total volume 5.4% 0.5% 18.3% 4.6% 1.2% 1.8% 0.5% 67.7% 48.5% 51.5%

% change from Old to New 0.8% 0.1% 2.7% 1.1% -0.2% 0.3% 0.1% -4.8% -7.8% 7.8%

1% 0% 6% 2% -1% 0% 0% -9% -9% 9%Average % difference from Old to New

Proportions of total volume within site type

across all 151 sites including either 11 original

or 11 revised sites

Wave 32

Wave 33

Wave 34

Wave 35

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- 43 -

Unweighted Tracking Graphs - Items

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- 44 -

17820

20754

18958

18782

19661 2

1327

14773

15858 17481

17109

19227

18556

19188

19374

15856

16711

16964

21327

19168

16858

14276

15297 1

7634 1

9143

21054

16928

20958

25167

23754

23115

21864

20556

21543 22810

22795

14113

14802

16849

16084

18281

17400

13832

13622

14442

14433

14539

12322

13124

14159 15694

13913

14026

13021

13115

14304

13326

13751

11809 13294

13363

13096

11129

11164 1

2855

11319

11179

11674

10611

10735 12019

11044

8310 9354

7246

7504

7270

6918 8

205

0

2000

4000

6000

8000

10000

12000

14000

16000

18000

20000

22000

24000

26000

Fe

b.9

8M

ay.9

8A

ug.9

8N

ov.9

8F

eb.9

9M

ay.9

9A

ug.9

9N

ov.9

9F

eb.0

0M

ay.0

0A

ug.0

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ov.0

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eb.0

1M

ay.0

1A

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1N

ov.0

1F

eb.0

2M

ay.0

2N

ov.0

2F

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3M

ay.0

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3N

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4M

ay.0

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5M

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6M

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7N

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ay.0

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9M

ay.0

9A

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eb.1

0M

ay.1

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ug.1

0N

ov.1

0F

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1M

ay.1

1A

ug.1

1N

ov.1

1F

eb.1

2M

ay.1

2A

ug.1

2N

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3M

ay.1

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ov.1

6M

ay.1

7N

ov.1

7M

ay.1

8N

ov.1

8M

ay.1

9N

ov.1

9

Total Litter - Number of Items

Revised Sites Inc CDL - 5c to 10c Sept 08

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- 45 -

13365

15566

14219

14087

14746

15995

11080

11894

13111

12832

14420

13917

14391

14531

11892

12533

12723

15995

14376

12644

10707

11473

13226

14357

15791

12696

15719 1

8875

17816

17336

16398

15417

16157

17108

17096

14113

14802 1

6849

16084

18281

17400

13832

13622

14442

14433

14539

12322

13124

14159

15694

13913

14026

13021

13115

14304

13326

13751

11809 1

3294

13363

13096

11129

11164 1

2855

11319

11179

11674

10611

10735

12019

11044

8310 9354

7246

7504

7270

6918 8205

29°

18°

18°21°

23°

21°

17°

22°

31°

17°

15°

28°

27°

17°

18°

23°

28° 28°

24°

26°

17°14°

28°

31°

17°

15°

25°

27°

20°

19°

27°

30°

19°

18°

33°

21°

17°

33°

31°

24°

15°

32°

34°

18°

21°

34°

32°

20°

15°

21°

30°

19°

16°

28°

29°

18°

16°

25°

29°

18°

15°

22°

23° 23°

16°

29°

30°

16°

35°

20°

27°

19°

23°

16°

20°

19°

25°

10°

15°

20°

25°

30°

35°

0

5000

10000

15000

20000

25000

30000

35000F

eb. 98

Ma

y.9

8A

ug. 98

Nov. 98

Fe

b.9

9M

ay.9

9A

ug. 99

Nov. 99

Fe

b.0

0M

ay.0

0A

ug.0

0N

ov.0

0F

eb.0

1M

ay.0

1A

ug.0

1N

ov.0

1F

eb.0

2M

ay.0

2N

ov.0

2F

eb.0

3M

ay.0

3A

ug.0

3N

ov.0

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4M

ay.0

4A

ug.0

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5M

ay.0

5A

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5N

ov.0

5F

eb.0

6M

ay.0

6A

ug.0

6N

ov.0

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7M

ay.0

7A

ug.0

7N

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7F

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8M

ay.0

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eb.0

9M

ay.0

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0M

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ay.1

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1F

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2M

ay.1

2A

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2N

ov.1

2F

eb.1

3M

ay.1

3A

ug.1

3N

ov.1

3F

eb.1

4M

ay.1

4A

ug.1

4N

ov.1

4F

eb.1

5M

ay.1

5N

ov.1

5M

ay.1

6N

ov.1

6M

ay.1

7N

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7M

ay.1

8N

ov.1

8M

ay.1

9N

ov.1

9

Degre

es C

els

ius

Num

ber

of lit

ter

item

s

Weather Temperature and Total Number of Litter Items

Weighted Average Temperature

Revised Sites Inc CDL - 5c to 10c Sept 08

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- 46 -

69527845

684164496659

86516139608765686855

86577847

73798187

7076

76866839

93588562

57285032

62707876

84409796

730010034103931032210533

87487600

96061095010875

59935921

67365872

69876735

51114863

55214764

61814507

55945927

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5446571561566602

61365986

53096185

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45234209

48783969

5089413941034036

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27663214

229527682527

22092232

279 3

143

84359 3

98 2

35

164 160 2

30 277 2

65252213 2

44160 2

094

55 2

202

472

66287 3

02 224 274 2

062

21 2

64 3

863

35 3

854

154

19 3

49 3

213

053

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03 4

475

52 5

424

773

774

76 4

724

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88 2

71 2

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822

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50 3

542

272

433

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162

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332

312

36 3

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26 1

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98 1

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27 5

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555460

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15271656

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12391149

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538739

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15941613

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172213911540

18771672

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12131446

15761739

18421922

14411433

16052047

1882876

9871416

12491290

13101286

105710251150

870810

953925

1163931

682818

840868

759748

674625

498602

623619

570626

569562

483512

606446

439474

548602

461448468

443466

343327

363342

337291

215444

47485140

44735003

54885524

33683887

42513774

416340554715

42933609

34993969

49744151

37943345

34403689

39123902

31363806

497647684079

43994299

382040173616

27203002

33273799

38484165

31553135

31913465

32982845

29723501

31333240

339126652438

266527163052

22662582

28383058

26302760

30363120

24353379

25452735

28102499

22742587

20061991

19251743

1999

37355125

43014268

44654718

33873837

40004071

42184183

43114442

344633953640

45293936

45523641

34383796

38514731

42374616

61775553

51725472

54475261

50575332

30183510

41643681

41263747

32753205

31793710

30552780

28313043

319731313309

28622865

30392748

30132630

28512988

303726112752

305627442509

277326302785

28522787

22532502

19831862

19362069

2297

0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000 22000 24000 26000

Feb. 98May.98Aug. 98Nov. 98Feb.99May.99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug.04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug.14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

Number of Items

Number of Litter Items by Material Type

Cigarette butts Glass Metal Miscellaneous Paper/paperboard Plastic

Revised Sites

Inc CDL - 5c to 10c Sept 08

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- 47 -

39%38%

36%34%34%

41%42%

38%38%

40%45%

42%38%

42%45%46%

40%44%45%

34%35%

41%45%44%

47%43%

48%41%

43%46%

40%37%

45%48%48%

42%40%40%

37%38%39%

37%36%

38%33%

43%37%

43%42%

48%42%

39%44%

47%46%46%

44%45%47%

43%42%

41%38%38%

35%46%

35%39%

38%42%43%

33%34%

32%37%

35%32%

27%

2%2%

2%2%2%

1%1%

1%1%

2%1%

1%1%

1%1%

1%3%

1%1%

2%2%

2%1%1%

1%1%

1%2%

1%2%

2%2%

2%1%1%

2%2%3%

3%3%3%

3%3%

3%3%

2%3%

2%2%

2%2%

2%2%

2%2%2%

2%3%

2%2%

2%2%

2%3%

2%1%

2%2%

2%1%

1%2%2%

3%1%

2%3%

6%

3%3%

4%4%

3%2%2%

2%3%

3%2%

3%3%

3%2%

3%3%

2%2%

4%4%

3%3%3%

3%7%

6%7%

6%7%

7%7%

7%6%7%

8%8%7%

8%9%8%

9%8%

9%8%

6%9%

6%6%

6%6%

7%7%

6%7%

7%7%

7%6%

7%6%

6%7%

8%6%

5%6%

6%5%

6%5%

6%5%

6%6%

6%7%

9%

9%8%12%

11%11%

8%9%

10%11%

10%8%

9%10%

9%8%

9%9%8%

10%11%

10%9%

9%11%9%

5%5%

6%5%

6%6%

6%5%

4%5%

6%5%

6%6%

6%5%

5%6%

6%6%

5%6%

5%4%

3%4%

4%5%

4%4%

4%4%

4%4%

5%3%

4%4%

4%5%

4%4%

4%4%

4%3%

4%4%

5%4%

4%3%

5%

27%25%

24%27%

28%26%23%

25%24%22%

22%22%

25%22%23%

21%23%23%

22%23%

23%22%

21%20%

19%19%

18%20%

20%18%

20%21%

18%18%16%19%

20%20%24%

21%24%

23%23%

22%24%

23%23%

23%25%

20%23%

24%20%

19%19%20%

22%19%19%

21%23%24%

25%24%

28%22%

29%24%

25%23%

23%27%28%

28%27%

26%25%

24%

21%25%23%23%23%22%23%

24%23%24%22%23%22%23%22%20%

21%21%21%

27%26%

22%22%20%

22%25%

22%25%23%22%

25%26%

24%22%

23%21%

24%25%23%23%21%

24%24%22%

26%21%

23%22%21%20%

23%24%22%22%21%21%

22%22%21%22%23%23%

25%24%24%22%

24%25%

26%24%

25%27%27%27%

25%27%

30%28%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Feb. 98May 98Aug. 98Nov. 98Feb.99May 99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug.04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug.14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

% of litter items

Proportion of Total Litter Stream by Material Type

Cigarette butts Glass Metal Miscellaneous Paper/paperboard Plastic

Inc

CD

L -

5c to

10c

Sep

t 08

Revis

ed

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- 48 -

14131385

10328578671436

703134614311648

9411413

22719358186257429621087996

69460910561269100944563481712627389231016737721728833

528507810890

569601861925966

444762588403869

542517493584430381354461389285418437350428406329359463421541530367334385234242262223

27573467

36233028

32254117

25112592

20982469

30732601

25042994

281226062335

27732425

175518942181

2726179124772

2822955

41373470

38663271

219431423365

26012188

2132244921862336

207226342008192121123059

17502389

23383160

24292844

22792794

26222522265024382447

19732385

16951551

20961909

1723178715911486

22602101

140614131333

132810441197

1914

64458195

65187951

86718393

59185841

73945704

65876554

83908115

555464816671

96818727

81485443

65037236

1016710261

70768852

11192955710413

10123103699292

1103910865

44665279

573858665617

6406390546114953

51285136

441444384855

390847094332

3721296438624367

38483030

374849854427

30393390

41183277

27964181

32623637

36803120

22672755

21922638

23872364

2830

26893087

26752197

21201979

14301623

17471542

20471812

16301871

165817621922

16761980

19071729

17852000

18932457

24342834

29883164

26982559

23952573

24982705

22762115

2869306231992702

21582256

23522310

24001664

17412550

279220931915

20322021

24761988

22201633

203518561741

21512237

22752249

23002003

19251950

16231838

13591591

791677

994980

964

83

4 99

380

4 80

9 10

84 85

858

4 90

5 77

672

1 54

566

8 73

889

656

0

49

3 66

1 61

974

671

7

70

1 42

5 57

4 80

4 81

554

6 54

1 76

766

6 50

355

661

759

0 47

972

958

6 69

4 50

5 56

5 95

370

052

0 55

7 57

2 60

1 49

873

4 65

3 54

7 52

459

788

777

079

1 94

790

271

867

1 81

6 97

268

844

8 47

0 66

937

339

6 38

451

0 42

1 55

257

843

4 63

437

4 28

930

4 22

5 34

1

864938

1116985

932940

784740

1076789

12721176

848996

10741079

12531226

10841144

10161148

949873

9841101

11201321

13171290

9211187

12271185

1134991

8591006

10151236

13041120

8661042

950765

632756

7561253

9721093

9151109

1066927

11681039

9361029

1013866

997824

896926

656759695

769838

707741

543505

489483

533

17271401

16901591

16702650

18862026

21282135

36032781

19362253

26972355

17222162

20831468

16481373

18691358

1777

19942387

266326422526

14941517

16591670

18011631

18821819

17072317

209417551492

164515451351

13331657

14861418

13821450

13921774

191213891387

13161786

12121189

11771195

11571035

13371132

1129969

1291981

802934

786731

722532

658

10911288

15001364

1092954

957

785831

21011159

1551871

1314683

13101658

22281036

7231151

12731224

9881274

10501635

12821676

10812017

12612323

18532232

11421313

1956873

17331553

1139971

1032821886

1033902

12241770

1189988

14191078

9898501406

122111371051

12351316

9741288

11741372

11729721156

13031058

968952

8421102

1088875

742

0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000 22000 24000 26000

Feb. 98May.98Aug. 98Nov. 98Feb.99May.99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug.04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug.14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

Number of Litter Items

Number of Litter Items by Site Type

Beach Car park Highway Industrial Recreational Park Residential Retail Shopping Centre

R

Inc CDL - 5c to 10c Sept 08

Revised Sites

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- 49 -

15%8%

7%5%5%

4%7%

5%8%8%10%

5%8%

12%5%5%4%4%5%6%6%5%4%6%7%

5%3%3%3%

5%3%4%5%

3%3%3%

6%4%3%5%5%

3%4%6%6%7%

3%6%

4%3%

6%4%4%4%4%

3%3%3%4%3%2%3%4%3%3%4%3%3%4%4%5%5%4%4%5%

3%3%4%

3%

11%15%17%

19%16%

16%19%

17%16%

12%14%

16%14%

13%15%

18%

16%14%13%13%

10%13%14%

15%9%

12%

13%14%

16%15%

17%15%

11%15%15%

11%16%

14%15%

14%13%

12%19%15%

13%15%21%14%18%

17%20%

17%20%

18%21%

18%19%19%

21%18%

15%18%

15%14%

16%17%

15%15%

15%14%

19%19%

17%15%

18%18%

14%17%

23%

11%36%

39%34%42%44%

39%40%37%

42%33%

34%35%

44%42%35%

39%39%

45%46%

48%38%

43%41%53%

49%42%

42%44%

40%45%46%

50%43%

48%48%

32%36%

34%36%

31%37%

28%34%

34%36%

35%36%

34%34%

25%34%

31%29%

23%27%

33%28%

26%28%37%

34%27%

30%32%

29%25%

36%31%34%

31%28%

27%29%

30%35%

33%34%

34%

18%15%

15%14%

12%11%

9%10%

10%10%

9%11%

10%8%

10%10%11%

11%8%

10%11%

12%12%

11%10%

12%14%14%

12%13%

12%12%12%

12%11%

12%16%14%

17%19%

17%16%16%

17%16%

16%17%

14%13%18%

18%15%

14%16%

15%17%

15%16%

14%15%

14%13%

19%20%

18%20%

21%17%

18%18%14%17%

16%17%

11%9%

14%14%

12%

11%5%

5%4%

4%6%4%

4%6%4%

4%3%

4%4%

5%4%3%4%

3%4%

4%5%

3%3%

4%4%

3%3%

3%3%

2%3%3%

3%2%

3%4%

5%3%

4%5%4%4%

4%4%

4%3%

6%5%

4%3%

4%6%

6%6%

7%7%

5%6%6%

7%5%

4%4%

5%3%

4%3%

5%4%

5%5%

5%7%

5%4%

4%3%

4%

8%5%

5%6%

5%5%

4%5%5%6%

5%7%

6%4%

5%7%6%7%6%

6%7%

7%8%5%

5%5%

7%5%

5%6%

6%4%

6%6%

5%5%

7%6%

6%6%

7%7%8%

6%7%

7%5%

5%6%5%

8%7%8%

7%8%

7%7%

8%9%7%

8%8%

8%9%

6%8%

8%6%

7%6%

6%8%

9%8%

7%7%7%

7%6%

17%10%

7%9%

8%8%

12%13%13%12%

12%3%4%

4%5%17%

3%10%2%

11%9%

12%2%3%

4%3%

2%2%

3%

2%11%

7%7%

8%7%

8%12%

13%11%

11%13%12%13%

11%11%

11%9%

11%13%

10%9%

10%10%

11%14%

13%10%

10%11%13%

9%9%

11%11%9%9%

12%10%11%9%

11%9%

10%10%

11%10%10%

8%8%

9%6%6%

8%7%6%4%

6%5%5%

12%6%

6%4%

5%7%

6.0%10%

10%5%4%

8%8%7%

5%6%6%

8%5%7%5%

9%6%

11%8%

10%8%9%

12%5%

9%9%8%7%7%6%6%

8%7%

9%11%

9%7%

11%8%7%6%

10%10%

9%8%

9%12%

9%10%10%

12%10%9%

11%11%10%

12%10%

12%15%15%

13%9%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Proportion…Feb. 98May 98Aug. 98Nov. 98Feb.99May 99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug. 04Nov.04Feb.05May.05Aug. 05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug.14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

% of Total Litter Items

Proportion of Total Litter by Site Type

Beach Car park Highway Industrial Recreational Park Residential Retail Shopping Centre

Revis

ed

S

ites

Inc

CD

L -

5c to

10c

Sep

t 08

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- 50 -

6952

7845

68416449

6659

8651

61396087

65686855

8657

7847

7379

8187

7067

7686

6839

9358

8562

5728

5032

6270

7876

8440

9796

7300

10034

1039310322

10533

8748

7600

9606

1095010875

59935921

6736

5872

69876735

51114863

5521

4764

6181

4507

5594

5927

7586

57865446

5715

6156

6602

61365986

5309

6185

57585539

45234209

4878

3969

5089

41394013

4036

49904701

2766

3214

2295

27682527

22092232

0

1000

2000

3000

4000

5000

6000

7000

8000

9000

10000

11000

Fe

b.9

8M

ay.9

8A

ug.9

8N

ov.9

8F

eb.9

9M

ay.9

9A

ug.9

9N

ov.9

9F

eb.0

0M

ay.0

0A

ug.0

0N

ov.0

0F

eb.0

1M

ay.0

1A

ug.0

1N

ov.0

1F

eb.0

2M

ay.0

2N

ov.0

2F

eb.0

3M

ay.0

3A

ug.0

3N

ov.0

3F

eb.0

4M

ay.0

4A

ug.0

4N

ov.0

4F

eb.0

5M

ay.0

5A

ug.0

5N

ov.0

5F

eb.0

6M

ay.0

6A

ug.0

6N

ov.0

6F

eb.0

7M

ay.0

7A

ug.0

7N

ov.0

7F

eb.0

8M

ay.0

8A

ug.0

8N

ov.0

8F

eb.0

9M

ay.0

9A

ug.0

9N

ov.0

9F

eb.1

0M

ay.1

0A

ug.1

0N

ov.1

0F

eb.1

1M

ay.1

1A

ug.1

1N

ov.1

1F

eb.1

2M

ay.1

2A

ug.1

2N

ov.1

2F

eb.1

3M

ay.1

3A

ug.1

3N

ov.1

3F

eb.1

4M

ay.1

4A

ug.1

4N

ov.1

4F

eb.1

5M

ay.1

5N

ov.1

5M

ay.1

6N

ov.1

6M

ay.1

7N

ov.1

7M

ay.1

8N

ov.1

8M

ay.1

9N

ov.1

9

Num

ber

of It

em

s

Total Number of Cigarette Butts

Revised Sites

Page 53: Litter Strategy Monitoring Wave 78 November 2019 Report › wp-content › uploads › litter-research › ... · 2020-05-04 · - 2 - 1.1 This document has been prepared by McGregor

- 51 -

2%2%2%2%2%2%2%2%2%2%2%2%2% 2%2%1%2%2%2%2%3%2%2%2%2%2% 2%2%2%2%2%2%2%1%1%2%2%2%2%2%2%2%2%2%2%1%2%1%1%1%1%1%1%1%1%1%1%1%1%2%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%1%

39%

38%

36%

34%

34%

41%

42%

38%

38%

40%

45%

42%

39%

42%

45%

46%

38%

44%

45%

34%

35%

41%

45%

44%

47%

43%

48%

41%

43%

46%

40%

37% 45%

48%

48%

43%

40%

40%

37%

38%

39%

37%

36%

38%

33% 43%

37%

43%

42%

48%

42%

39%

44%

47%

46%

46%

44%

45%

47%

43%

42%

41%

38%

38%

35% 46%

35%

39%

38%

42%

43%

33%

34%

32%

37%

35%

32%

27%

59%

60%

62%

64%

64% 58%

56%

60%

60%

58%

53%

56%

59%

56%

54%

53%

60%

54%

53%

64%

62%

57%

53%

54%

52%

55%

50%

56%

55%

52%

58%

61% 53%

51%

51%

55%

58%

58%

61%

60%

59%

61%

63%

60%

65% 56%

62%

56%

57%

51%

57%

60%

55%

52%

53%

53%

55%

54%

52%

55%

57%

58%

61%

61%

64% 53%

64%

60%

61%

58%

57%

66%

65%

67%

62%

64%

67%

72%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Fe

b.9

8M

ay.9

8A

ug.9

8N

ov.9

8F

eb.9

9M

ay.9

9A

ug.9

9N

ov.9

9F

eb.0

0M

ay.0

0A

ug.0

0N

ov.0

0F

eb.0

1M

ay.0

1A

ug.0

1N

ov.0

1F

eb.0

2M

ay.0

2N

ov.0

2F

eb.0

3M

ay.0

3A

ug.0

3N

ov.0

3F

eb.0

4M

ay.0

4A

ug.0

4N

ov.0

4F

eb.0

5M

ay.0

5A

ug.0

5N

ov.0

5F

eb.0

6M

ay.0

6A

ug.0

6N

ov.0

6F

eb.0

7M

ay.0

7A

ug.0

7N

ov.0

7F

eb.0

8M

ay.0

8A

ug.0

8N

ov.0

8F

eb.0

9M

ay.0

9A

ug.0

9N

ov.0

9F

eb.1

0M

ay.1

0A

ug.1

0N

ov.1

0F

eb.1

1M

ay.1

1A

ug.1

1N

ov.1

1F

eb.1

2M

ay.1

2A

ug.1

2N

ov.1

2F

eb.1

3M

ay.1

3A

ug.1

3N

ov.1

3F

eb.1

4M

ay.1

4A

ug.1

4N

ov.1

4F

eb. 15

Ma

y.1

5N

ov.1

5M

ay.1

6N

ov.1

6M

ay.1

7N

ov.1

7M

ay.1

8N

ov.1

8M

ay.1

9N

ov.1

9

Num

ber

of It

em

s

Proportion of Cigarette Related Litter Items in Total Litter Stream

Cigarette Packets Cigarette Butts Other Litter

Revised

Page 54: Litter Strategy Monitoring Wave 78 November 2019 Report › wp-content › uploads › litter-research › ... · 2020-05-04 · - 2 - 1.1 This document has been prepared by McGregor

- 52 -

57

125

920

118

6 63

515

3 72

4 98

4 10

8139

7 78

2 15

4861

743

930

8 36

7 52

9 58

5 64

636

229

7 54

7 78

557

214

1 19

9 34

8 77

943

142

2 51

433

9 39

8 41

3 49

718

7 20

8 37

3 42

826

1 26

2 39

5 51

523

516

5 42

828

716

2 44

715

310

9 16

7 20

514

9 16

410

6 12

98

81

08 1

63 1

851

22 1

951

57 1

681

09 2

882

17 2

42 3

021

19 1

508

29

01

037

54

5

19561874

11991498

21431500

15271025

118917961246

10531597

16311515

122114571311

82611011232

198410421596

13441882

22731911

22041835

11521833

200315381276

116813471043

11741007

12611057

10691103

2038710

14651268

1915137015021304

164914171515

134213961509

11121180

804681

10049441036

911774

57613121168

598583622691

349498783

21101304

19681804

21871636

9891363

5991567

12751776

22601551

18981307

28342725

1619668

14581900

35763941

22443527

35803049

38603129

27423451

48824727

11971411

139514531125

20517471037

10151041

10821097

10921296

10421327

867988

7131079

1279909809

11941550

1145674

7901023

592742

740732

931672

667333398

328521

504453

356

634595

520477

631347334

385279

598494

416517

682641

645478815

599497

701484

455820

798894

8771015

832744

688661

847884

515529

766837

915651

687491

604585

1090356

547924

1346796

705779770

995824

927567

779682

784814

698687

629806

517652683

683708

316527

213188

214224

222

34

728

624

6 50

4 33

617

528

7 27

628

6 14

423

8 26

6 29

815

1 18

925

9 20

8 34

532

129

3 16

0 27

3 43

9 32

320

9 20

6 29

020

1 16

012

318

4 19

0 13

221

822

022

6 12

412

5 37

4 21

212

9 14

6 18

317

0 12

827

2 25

2 17

1 13

420

843

7 35

5 40

1 47

0 40

831

330

2 33

947

937

221

417

3 29

010

9 12

815

2 17

814

3 20

023

818

0 17

0

59

90

60

43

65

30

430

521

3 25

2 23

024

5 17

8 22

818

2 40

429

1 22

5 21

724

5 35

634

2 29

2 32

432

623

6 41

7 27

5 32

9 29

138

8 35

3 45

143

3 47

429

841

6 33

7 37

533

424

419

8 26

523

8 32

4 25

228

315

1 27

519

0 18

014

0 18

3 13

3 57

029

731

626

2 35

5 43

2 29

441

234

7 29

2 37

241

120

031

3 21

419

3 29

812

1 15

511

0 18

923

217

7 19

412

3

54

60

881

04

10511274

12531219

195714571542

17851637

29162259

14791677

19711742

12851660

1666950

1024956

14541005

11981366

16501676

16721737

9991072

11441265

13761169

134412151229

16881325

1139926

1194978

889919

11931099

942934

970968

14401473

10721011

9841311

857817

802853

757623

995816

722628

789649

446600

449457

444349

358

872944

849719

532626506

5221602

8351262

6161004

3971037

14131900

791441

8511049

959809

1055810

1323898

1262835

1198832

16511048

1385875

8581416

574959

976603

660666

462609

585575

8741190

701540

892623

587580

966775

673598

667830

579708

722916

773602

748903

737597

592419

677793

479299

0 2000 4000 6000 8000 10000 12000

May.98Aug.98Nov.98Feb.99May.99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug.04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug.14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

Number of cigarette butts

Number of Cigarette Butts by Site Type

Beach Car park Highway Industrial Recreational Park Residential Retail Shopping Centre

Revis

ed

Site

s

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- 53 -

20%27%

19%31%

27%25%27%

16%21%

9%18%

16%24%

28%22%

25%19%

30%32%

28%13%

23%24%

42%40%

31%35%34%

30%37%36%36%36%

45%43%

20%24%

21%25%

16%30%

28%21%

18%22%

18%24%

20%22%

14%23%

16%17%

12%16%

21%15%15%

19%27%

21%15%

19%21%

15%15%

18%18%

23%13%14%

12%12%14%

19%20%21%

16%

80%73%

81%69%

73%75%73%

84%79%

91%82%

84%76%

72%78%

75%81%

70%68%

72%87%

77%76%

58%60%

69%65%66%

70%63%64%64%64%

55%57%

80%76%

79%75%

83%70%

72%79%

82%78%

82%76%

80%78%

86%77%

84%83%

88%84%

79%85%85%

81%73%

79%85%

81%79%

85%85%

82%82%

77%87%86%

88%88%86%

81%80%79%

84%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Feb.98May.98Aug.98Nov.98Feb.99May.99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug.04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug.14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

% of total cigarette butt litter

Proportion of Total Cigarette Butt Litter at Highway sites & Other sites

Highway sites Other sites

Revis

ed

Site

s

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- 54 -

799

662

884

1048

634

469

541

773

926

567

721

766

616

534 5

71

862

800 825

918

738

555

540

727

463

335

440

635

607

599 6

32

513

461

430

417

328

411

481 5

20

627

487

449

383

400

364

263

374

241

201

366

226

238

296

260

340 362

266

232

338

238

222

222

191

269

240

157

218

263

227

349

322

253 278

244

172 197 218

172

835

741

949

1143

704

507

577

824

974

636

804 831

686

574 594

968

894

883

965

822

672

611

778

497

367

505

700

673

679 707

573

490

489

454

368

449

532

587

665

533

514

420

429

406

286

396

253

219

388

244

254

315

284

367

379

275

245

364

255

237

230

200

275

262

176

232

281

237

382

333

265

287

253

184 219

233

180

96%

89%

93%92%

90%

93%94%94%

95%

89%

90%92%

90%

93%

96%

89%89%

93%95%

90%

83%

88%

93%93%91%

87%

91%

90%88%89%90%

94%

88%

92%

89%

92%90%

89%

94%

91%

87%

91%93%

90%

92%94%

95%

92%

94%

93%

94%

94%

92%93%

96%97%

95%

93% 93%

94%

97%96%

98%

92%89%

94%

94%

96%

91%

97%

95%97%96%

93%

90%

94%

96%

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

0

200

400

600

800

1000

1200

% o

f bevera

ge litte

r covere

d b

y c

urr

ent C

DL

Num

ber

of C

DL c

onta

iners

and t

ota

l bevera

ge c

onta

iners

Proportion of Beverage Litter Covered By Current CDL & Total Number of Beverage Litter Items & Containers Covered By Current CDL

Total Beverage CDL Total Beverage % CDL of Total Beverage Linear (Total Beverage CDL) Linear (% CDL of Total Beverage)

January 2003 extension to CDL

Total Beverage CDL -Trendline

Inc CDL - 5c to 10c

Sept 08

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- 55 -

3.9%3.8%

3.5%

4.7%

5.3%

3.0%3.2%

3.4%

4.4%

5.4%

2.9%

3.9%4.0%

3.2%3.4%

3.4%

5.1%

3.8%

4.3%

5.4%

5.2%

3.6%

3.1%

3.8%

2.2%

2.0%2.1%

2.5%2.6%2.6%

2.9%

2.5%

2.1%1.9%

1.8%

2.3%

2.8%2.9%

3.2%3.4%

2.8%

3.2%3.1%3.0%

2.8%

1.8%

3.0%

1.8%

1.4%

2.3%

1.6%1.7%

2.3%

2.0%

2.4%

2.7%

1.9%2.0%

2.5%

1.8%1.7%

2.0%

1.7%

2.1%2.1%

1.4%1.9%

2.5%

2.1%

2.9%2.9%3.0%

3.0%

3.4%

2.3%

2.8%

3.2%

2.1%

0%

5%

10%

Fe

b.9

8M

ay.9

8A

ug.9

8N

ov.9

8F

eb.9

9M

ay.9

9A

ug.9

9N

ov.9

9F

eb.0

0M

ay.0

0A

ug.0

0N

ov.0

0F

eb.0

1M

ay.0

1A

ug.0

1N

ov.0

1F

eb.0

2M

ay.0

2N

ov.0

2F

eb.0

3M

ay.0

3A

ug.0

3N

ov.0

3F

eb.0

4M

ay.0

4A

ug.0

4N

ov.0

4F

eb.0

5M

ay.0

5A

ug.0

5N

ov.0

5F

eb-0

6M

ay.0

6A

ug.0

6N

ov.0

6F

eb.0

7M

ay.0

7A

ug.0

7N

ov.0

7F

eb.0

8M

ay.0

8A

ug.0

8N

ov.0

8F

eb.0

9M

ay.0

9A

ug.0

9N

ov.0

9F

eb.1

0M

ay.1

0A

ug.1

0N

ov.1

0F

eb.1

1M

ay.1

1A

ug.1

1N

ov.1

1F

eb.1

2M

ay.1

2A

ug.1

2N

ov.1

2F

eb.1

3M

ay.1

3A

ug.1

3N

ov.1

3F

eb.1

4M

ay.1

4A

ug.1

4N

ov.1

4F

eb.1

5M

ay.1

5N

ov.1

5M

ay.1

6N

ov.1

6M

ay.1

7N

ov.1

7M

ay.1

8N

ov.1

8M

ay.1

9N

ov.1

9

% o

f C

DL litte

r item

s

Proportion of Current CDL Litter Items in Total Litter Stream

Jan

uary

2003 e

xte

nsio

n t

o

Trendline

Inc CDL - 5c to 10c Sept 08

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- 56 -

157

187

192 248

118

84 97

120

140

133

150

101

112

78 112

268

129

143 190

186

182

119

157

117

94 140 2

32

161

198

223

193

155

145

120

110

105 170

165

179

166

128

152

149

172

87 141

85

65 1

26

95

61 103

85

106

73

66 78 91

49

54 65 80 89

71

37 7

9 97

122

62

62 100

81

103

42

42 68

43

157

110 153

143

67

68 69

87

298

74 8

8

113

108

79

114

130

124

102

133

154

121

90

184

122

115

146

189

200 182 179

139

134

163

133

128 179

170

179 2

27

178

144

102

139

99

78

115

80

81

127

77

84

88

93

135

135

108

79 1

16

91 87 78 61 9

1

75

42

67 7

8 47

157

96

83

86 66

52 69 5

8

77

310

198

332

361

261

187 218

344

317

242 2

88

329

232

196

199

296

351

352

358

227

162

181

226

88

48

42

53

69 7

7 78

52

56 39

51

20

39

59 64

72

43

82

60 4

635

39

46

39

31

39

21

55 1

128

26

28

417

19

18

16

13 911

16

927 1

714

11

18 822

13

13 17 23

17

175

167

207

296

188

130

157

222

171

118

195 223

164

181

146

168

196

228

237

171

90

150

160

136

78

112

161

177

142 152

129

116

83

133

70

88

82 112

149

100

95

69 6

6

58

59

72

37

24

74

33 38 9

4

54

73

126

88

58

112

80

65

66

41

78

78

69

45

71

44

119

146

62 89

62

65 6

9 69

35

0

200

400

600

800

1000

1200

Ma

y.9

8A

ug.9

8N

ov.9

8F

eb.9

9M

ay.9

9A

ug.9

9N

ov.9

9F

eb.0

0M

ay.0

0A

ug.0

0N

ov.0

0F

eb.0

1M

ay.0

1A

ug.0

1N

ov.0

1F

eb.0

2M

ay.0

2N

ov.0

2F

eb.0

3M

ay.0

3A

ug.0

3N

ov.0

3F

eb.0

4M

ay.0

4A

ug.0

4N

ov.0

4F

eb.0

5M

ay.0

5A

ug.0

5N

ov.0

5F

eb.0

6M

ay.0

6A

ug.0

6N

ov.0

6F

eb.0

7M

ay.0

7A

ug.0

7N

ov.0

7F

eb.0

8M

ay.0

8A

ug.0

8N

ov.0

8F

eb.0

9M

ay.0

9A

ug.0

9N

ov.0

9F

eb.1

0M

ay.1

0A

ug.1

0N

ov.1

0F

eb.1

1M

ay.1

1A

ug.1

1N

ov.1

1F

eb.1

2M

ay.1

2A

ug.1

2N

ov.1

2F

eb.1

3M

ay.1

3A

ug.1

3N

ov.1

3F

eb.1

4M

ay.1

4A

ug.1

4N

ov.1

4F

eb.1

5M

ay.1

5N

ov.1

5M

ay.1

6N

ov.1

6M

ay.1

7N

ov.1

7M

ay.1

8N

ov.1

8M

ay.1

9N

ov.1

9

Num

ber

of item

s

CDL and Non-CDL Beverage Items Within Material Categories

Total CDL glass Total CDL metal Total CDL paperboard Total CDL Plastic Total non-CDL glass Total non-CDL paperboard Total non-CDL Plastic

Revised Sites

Inc CDL - 5c to 10c Sept 08

January 2003 extension to CDL

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- 57 -

26

133

72

97

36

102

87

77

114

139

119

171

68

298

180

199

56

627

1202

2768

34

89

83

151

49

87

70

75

119

104

111

142

75

313

174

229

123

696

1172

2527

33

114

49

82

89

95

59

46

144

192

68

199

125

314

176

237

156

675

1005

2209

56

58

71

75

88

95

110

112

118

167

168

179

197

213

270

270

478

1096

1426

2232

0 1000 2000 3000

METAL - Flav. water/soft drink, (carbonated), allsizes

PAPER/PAPERBOARD - Cups/take awaycontainers

PLASTIC - Packing tape & straps

PAPER/PAPERBOARD - Packages & boxes

PLASTIC - Lollipop sticks

PAPER/PAPERBOARD - Shopper dockets & relatedshopping paper (eg. lists)

METAL - Metal pieces

MISCELLANEOUS - Rubber pieces (not tyres)

PAPER/PAPERBOARD - Coffee cups

PLASTIC - Take away & cups

MISCELLANEOUS - Clothing & materials

PLASTIC - Straws

METAL - Other foil

PLASTIC - Snack bags & confectionery wrappers

METAL - Metal bottle tops and can pull rings

PLASTIC - Plastic bottle tops

GLASS - Other glass

PLASTIC - Other plastic

PAPER/PAPERBOARD - Other paper (includingtissues)

CIGARETTE BUTTS - Cigarette butts

Number of Litter Items

Top 20 Litter Items - Highest Counts

Nov.19 May.19 Nov.18 May.18

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- 58 -

Unweighted Tracking Graphs - Volume

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- 59 -

0.009

0.015

0.008

0.000

0.008

0.005

0.028

0.001

0.006

0.014

0.010

0.010

0.015

0.180

0.011

0.200

0.097

0.029

0.056

0.312

0.001

0.005

0.004

0.003

0.005

0.003

0.019

0.000

0.005

0.008

0.008

0.003

0.006

0.000

0.008

0.117

0.021

0.009

0.039

0.240

0.005

0.008

0.007

0.000

0.003

0.005

0.030

0.003

0.012

0.019

0.012

0.003

0.011

0.000

0.014

0.125

0.056

0.040

0.105

0.216

0.006

0.006

0.006

0.006

0.008

0.008

0.008

0.009

0.010

0.010

0.012

0.014

0.019

0.022

0.024

0.025

0.028

0.035

0.086

0.336

0.000 0.050 0.100 0.150 0.200 0.250 0.300 0.350 0.400

METAL - Food cans (including pet food)

PAPER/PAPERBOARD - Junk mail/free circulars

PAPER/PAPERBOARD - Packages & boxes

PLASTIC - Plain water (carbonated or non-carb), 1 litre+

METAL - Alcoholic sodas & spirit-based mixers

MISCELLANEOUS - Tyres & pieces

PAPER/PAPERBOARD - Newspapers & magazines

GLASS - Other glass

PAPER/PAPERBOARD - Cartons, flavoured milk, <1 litre

PAPER/PAPERBOARD - Cigarette packets

GLASS - Beer, all colours of glass, <750ml

MISCELLANEOUS - Construction materials

METAL - Foil take away

PLASTIC - Containers, industrial e.g. oil

METAL - Flav. water/soft drink, (carbonated), all sizes

PLASTIC - Containers, domestic type

PAPER/PAPERBOARD - Cups/take away containers

PLASTIC - Take away & cups

PAPER/PAPERBOARD - Coffee cups

MISCELLANEOUS - Illegal dumping

Volume of Litter Items (m3)

Top 20 Litter Items by Volume

Nov.19 May.19 Nov.18 May.18

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- 60 -

0.0

85

0.0

84

0.0

65

0.1

03

0.2

26

0.1

27

0.0

44

0.1

83

0.1

10

0.0

72

0.0

32

0.1

29

0.0

44

0.0

32

0.0

25

0.0

22

0.0

70

0.0

46

0.0

33

0.0

62

0.0

12

0.0

27

0.0

68

0.0

55

0.0

18

0.0

33

0.0

53

0.0

91

0.0

59

0.0

17

0.0

44

0.0

30

0.0

36

0.0

65

0.0

17

0.0

28

0.0

35

0.0

91

0.0

46

0.0

20

0.0

12

0.0

22

0.0

44

0.0

49

0.0

52

0.0

07

0.0

30

0.0

19

0.0

09

0.0

06

0.0

12

0.0

13

0.0

11

0.0

12

0.0

38

0.0

23

0.0

18

0.0

21

0.0

07

0.0

20

0.0

26

0.0

21

0.0

09

0.0

21

0.0

18

0.0

14

0.0

65

0.0

12

0.0

30

0.0

59

0.0

50

0.0

45

0.0

63

0.0

94

0.0

07

0.0

11

0.0

09

0.0

03

0.145

0.212

0.531

0.426

0.382

0.409

0.169

0.210

0.187

0.191

0.249

0.239

0.250

0.162

0.075

0.175

0.178

0.161

0.146

0.463

0.192

0.128

0.112

0.121

0.110

0.066

0.251

0.241

0.238

0.151

0.176

0.131

0.071

0.141

0.130

0.099

0.048

0.224

0.088

0.121

0.203

0.207

0.107

0.114

0.122

0.056

0.194

0.073

0.067

0.136

0.145

0.146

0.088

0.143

0.147

0.092

0.314

0.135

0.096

0.059

0.134

0.064

0.112

0.116

0.188

0.062

0.071

0.128

0.153

0.132

0.127

0.139

0.069

0.094

0.072

0.029

0.081

0.055

1.496

1.658

1.779

1.904

2.785

0.165

0.209

1.030

1.604

1.672

1.040

1.981

1.664

1.727

1.172

0.197

1.567

0.175

2.225

2.407

2.015

1.640

2.087

2.173

2.069

1.045

1.613

1.778

2.266

1.910

1.902

2.474

1.664

1.734

2.737

1.111

1.369

1.180

1.377

1.183

1.301

1.045

1.019

1.280

1.189

0.717

0.856

0.603

0.861

0.520

0.771

0.744

0.780

0.530

0.590

0.726

0.631

0.597

0.663

0.708

0.599

0.438

0.372

0.593

0.584

0.414

0.739

0.506

0.464

0.599

0.610

0.449

0.498

0.387

0.709

0.252

0.368

0.383

0.15

0.212

0.615

0.586

0.494

0.165

0.169

0.410

0.187

0.191

0.394

0.562

0.463

0.16

0.335

0.17

0.18

0.160.14

0.391

0.192

0.110

0.283

0.381

0.396

0.445

0.434

0.503

0.684

0.15

0.427

0.580

0.542

0.411

0.588

0.558

0.688

0.679

0.493

0.511

0.457

0.484

0.613

0.260

0.323

0.305

0.406

0.392

0.573

0.320

0.254

0.204

0.163

0.201

0.216

0.228

0.273

0.177

0.135

0.237

0.168

0.208

0.249

0.510

0.255

0.226

0.255

0.272

0.207

0.136

0.235

0.383

0.295

0.235

0.204

0.175

0.279

0.145

0.0

49

0.0

29

0.2

28

0.1

25

0.0

92

0.1

64

0.0

40

0.0

76

0.0

29

0.0

23

0.0

16

0.0

13

0.0

15

0.0

23

0.0

35

0.0

06

0.0

12

0.0

13

0.0

11

0.0

11

0.0

22

0.0

03

0.0

08

0.0

07

0.0

14

0.0

08

0.0

35

0.0

54

0.0

12

0.0

38

0.0

25

0.0

29

0.0

41

0.0

06

0.0

17

0.0

12

0.0

06

0.0

21

0.0

29

0.0

25

0.0

15

0.0

42

0.0

28

0.0

21

0.0

14

0.0

15

0.0

28

0.0

62

0.0

31

0.0

20

0.0

12

0.0

17

0.0

32

0.0

27

0.1

21

0.0

36

0.0

21

0.0

14

0.0

58

0.0

18

0.0

12

0.0

17

0.0

06

0.0

15

0.0

09

0.0

19

0.0

10

0.0

12

0.0

22

0.0

22

0.0

09

0.0

26

0.0

83

0.0

16

0.0

24

0.0

09

0.0

10

0.0

06

0.095

0.084

0.403

0.186

0.121

0.148

0.131

0.150

0.131

0.085

0.113

0.199

0.171

0.161

0.106

0.072

0.113

0.133

0.131

0.078

0.108

0.064

0.103

0.058

0.065

0.100

0.081

0.153

0.108

0.105

0.101

0.054

0.066

0.078

0.174

0.123

0.067

0.163

0.214

0.274

0.346

0.141

0.173

0.195

0.159

0.169

0.135

0.084

0.202

0.094

0.114

0.200

0.200

0.188

0.061

0.140

0.180

0.068

0.153

0.204

0.093

0.150

0.139

0.099

0.159

0.105

0.090

0.141

0.155

0.123

0.173

0.061

0.047

0.044

0.050

0.087

0.035

0.103

0.0

18 0.0

55 0.2

700.0

24 0.0

630.6

420.4

24 0.9

20 0.2

310.0

260.0

29 0.0

230.0

20 0.0

380.0

290.0

30 0.0

22 0.0

18 0.0

15 0.0

240.0

590.0

06 0.0

19 0.0

190.0

280.0

25 0.0

41 0.1

53 0.0

480.0

980.0

27 0.0

190.0

21 0.0

12 0.0

590.0

64 0.0

42 0.0

420.0

280.0

28 0.0

600.0

32 0.0

290.0

220.0

180.0

15 0.0

390.0

14 0.0

090.0

32 0.0

11 0.0

370.0

210.0

13 0.0

20 0.0

19 0.0

300.0

22 0.0

26 0.0

200.0

070.0

210.0

09 0.0

150.0

140.0

20 0.0

180.0

190.0

13 0.0

84 0.0

660.0

230.0

280.0

26 0.0

380.0

11 0.0

040.0

34

0.030

0.022

0.095

0.186

0.029

0.148

0.060

0.102

0.473

0.044

0.010

0.199

0.171

0.161

0.014

0.009

0.009

0.005

0.013

0.010

0.011

0.004

0.013

0.007

0.004

0.004

0.006

0.154

0.018

0.007

0.054

0.012

0.030

0.050

0.053

0.013

0.011

0.031

0.020

0.049

0.027

0.076

0.024

0.016

0.047

0.008

0.074

0.014

0.010

0.050

0.015

0.014

0.023

0.020

0.048

0.016

0.026

0.042

0.038

0.075

0.067

0.020

0.040

0.039

0.041

0.065

0.028

0.027

0.027

0.101

0.028

0.039

0.011

0.038

0.016

0.009

0.025

0.0140.0

00

0.2

00

0.4

00

0.6

00

0.8

00

1.0

00

1.2

00

1.4

00

1.6

00

1.8

00

2.0

00

2.2

00

2.4

00

2.6

00

2.8

00

3.0

00

3.2

00

3.4

00

3.6

00

3.8

00

4.0

00

4.2

00

Feb.98May.98Aug.98Nov.98Feb.99May.99Aug.99Nov.99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug.04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug.14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

Volume of litter (m3)

Volume of Litter by Site Type

Beach Car park Highway Industrial Recreational Park Residential Retail Shopping Centre

Inc CDL - 5c to 10c Sept 08

Revised Sites

Page 63: Litter Strategy Monitoring Wave 78 November 2019 Report › wp-content › uploads › litter-research › ... · 2020-05-04 · - 2 - 1.1 This document has been prepared by McGregor

- 61 -

11%4%3%

2%3%

5%4%

2%6%

3%3%

2%4%

2%1%1%1%3%

2%1%2%

0%1%3%2%

1%2%2%3%

2%1%2%1%1%3%

0%1%2%4%

2%1%

0%1%2%2%3%

1%2%2%0%1%1%1%1%1%3%

2%1%2%

1%1%2%2%

1%1%1%1%1%1%3%5%4%4%6%

10%1%2%1%

0.5%

15%

6%

8%

13%

12%

9%

12%

9%

7%

6%

8%

13%

8%

9%

6%

4%

11%

8%

6%

5%

13%

7%

6%

4%

4%

4%

4%

10%

8%

7%

5%

6%

4%

3%

6%

3%

5%

2%

9%

4%

5%

8%

10%

5%

6%

6%

4%

11%

7%

4%

12%

11%

11%

7%

13%

12%

7%

21%

13%

8%

4%

12%

7%

12%

8%

15%

7%

5%

11%

14%

11%

10%

12%

6%

10%

6%

5%

10%

7%

18%

65%

65%

45%

55%

66%

51%

46%

33%

50%

70%

55%

63%

63%

62%

65%

68%

72%

78%

77%

70%

74%

83%

77%

77%

77%

61%

64%

59%

66%

60%

69%

74%

67%

69%

72%

55%

60%

49%

60%

53%

54%

51%

50%

65%

62%

55%

49%

60%

49%

44%

58%

54%

59%

47%

48%

57%

42%

55%

56%

53%

54%

47%

40%

42%

46%

45%

35%

45%

43%

48%

47%

39%

46%

41%

63%

43%

45%

51%

11%

17%

15%

15%

17%

12%

5%

11%

13%

13%

11%

21%

18%

18%

22%

19%

13%

10%

7%

11%

11%

11%

6%

11%

14%

15%

26%

17%

17%

20%

27%

15%

17%

22%

16%

16%

28%

30%

28%

22%

23%

19%

24%

30%

13%

17%

24%

23%

39%

33%

27%

19%

15%

12%

18%

17%

18%

18%

16%

11%

18%

15%

22%

27%

36%

20%

24%

19%

24%

19%

11%

18%

33%

27%

25%

18%

30%

34%

20%

9%

2%

1%

6%

4%

2%

2%

2%

2%

1%

1%

1%

0%

1%

1%

2%

0%

1%

1%

0%

0%

1%

0%

0%

0%

1%

0%

1%

2%

0%

1%

1%

1%

2%

0%

0%

1%

0%

1%

1%

1%

1%

2%

1%

1%

1%

1%

2%

6%

2%

2%

1%

1%

2%

2%

10%

3%

1%

1%

5%

1%

1%

2%

1%

1%

1%

2%

2%

1%

2%

2%

1%

2%

8%

2%

2%

2%

1%

1%

17%

4%

3%

10%

5%

3%

4%

7%

5%

4%

4%

6%

6%

6%

6%

6%

5%

5%

5%

5%

2%

4%

3%

4%

2%

2%

6%

3%

5%

3%

3%

4%

2%

3%

3%

5%

6%

3%

7%

9%

12%

14%

7%

8%

10%

8%

13%

8%

8%

11%

8%

9%

15%

15%

17%

5%

11%

12%

6%

13%

15%

8%

16%

15%

7%

13%

11%

9%

13%

14%

10%

13%

5%

4%

5%

4%

15%

4%

14%

11%1%2%

7%1%

2%18%21%

30%7%

1%2%1%1%1%2%2%1%1%1%1%

2%0%1%1%1%1%2%

5%1%3%

1%1%

1%0%2%3%2%

2%1%

1%2%

2%1%1%

1%1%

2%1%1%

3%1%

3%2%1%

2%1%

2%2%2%

2%1%

2%1%

1%1%

2%2%

2%1%

7%5%2%

3%3%

3%2%

0%5%

8%

1%

1%

2%

3%

1%

5%

3%

3%

15%

2%

1%

0%

1%

0%

1%

1%

0%

0%

0%

0%

0%

0%

0%

0%

0%

0%

0%

1%

1%

0%

2%

0%

1%

2%

1%

1%

0%

1%

1%

2%

1%

4%

1%

1%

2%

1%

4%

1%

1%

4%

1%

1%

2%

2%

4%

1%

2%

4%

3%

6%

6%

2%

4%

3%

3%

7%

5%

2%

3%

8%

2%

3%

1%

4%

1%

2%

3%

2%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Proporti…Feb. 98May 98Aug. 98Nov. 98Feb.99May 99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug. 04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug. 14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

% of Total Litter Items

Proportion of Litter Volume in Total Litter Stream by Site Type

Beach Car park Highway Industrial Recreational Park Residential Retail Shopping Centre

Revis

ed

S

ites

IIn

c C

DL

-5c to

Page 64: Litter Strategy Monitoring Wave 78 November 2019 Report › wp-content › uploads › litter-research › ... · 2020-05-04 · - 2 - 1.1 This document has been prepared by McGregor

- 62 -

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

001

0.0

007

0.0

008

0.0

007

0.0

008

0.0

008

0.0

006

0.0

006

0.0

006

0.0

005

0.0

007

0.0

005

0.0

006

0.0

007

0.0

009

0.0

007

0.0

006

0.0

007

0.0

007

0.0

008

0.0

007

0.0

007

0.0

006

0.0

007

0.0

007

0.0

006

0.0

005

0.0

005

0.0

006

0.0

005

0.0

006

0.0

005

0.0

005

0.0

005

0.0

006

0.0

006

0.0

003

0.0

004

0.0

003

0.0

003

0.0

000

0.0

003

0.0

003

0.095

0.111

0.105

0.135

0.066

0.056

0.054

0.073

0.076

0.080

0.090

0.061

0.070

0.061

0.061

0.174

0.068

0.093

0.105

0.121

0.120

0.085

0.082

0.059

0.062

0.093

0.133

0.096

0.121

0.126

0.120

0.087

0.086

0.069

0.073

0.075

0.106

0.111

0.112

0.105

0.093

0.086

0.087

0.108

0.059

0.085

0.050

0.038

0.069

0.061

0.036

0.061

0.054

0.066

0.040

0.036

0.051

0.062

0.037

0.036

0.037

0.052

0.058

0.048

0.029

0.048

0.059

0.069

0.043

0.043

0.066

0.059

0.079

0.031

0.019

0.049

0.032

0.672

1.992

1.176

1.296

1.440

0.816

1.680

1.248

0.552

0.384

1.200

0.600

0.816

0.480

0.312

0.216

0.384

0.456

1.008

0.744

0.408

0.576

0.600

0.432

0.312

0.576

0.696

0.936

0.720

0.480

1.008

0.744

0.672

2.016

0.600

0.792

0.816

0.648

0.648

0.624

0.384

0.768

0.504

0.528

0.312

0.672

0.432

0.696

0.288

0.600

0.576

0.456

0.408

0.480

0.360

0.504

0.336

0.360

0.504

0.192

0.168

0.216

0.168

0.264

0.168

0.312

0.288

0.240

0.192

0.384

0.384

0.336

0.288

0.312

0.240

0.216

0.336

0.221

0.247

0.216

0.237

0.120

0.084

0.083

0.170

0.193

0.156

0.177

0.154

0.153

0.095

0.103

0.155

0.148

0.088

0.161

0.176

0.105

0.113

0.169

0.143

0.110

0.236

0.168

0.154

0.200

0.165

0.223

0.152

0.151

0.175

0.172

0.145

0.145

0.149

0.223

0.181

0.177

0.129

0.120

0.146

0.104

0.105

0.080

0.091

0.113

0.077

0.100

0.083

0.085

0.098

0.093

0.092

0.068

0.084

0.076

0.077

0.058

0.051

0.081

0.059

0.049

0.056

0.067

0.043

0.119

0.059

0.071

0.080

0.049

0.051

0.034

0.044

0.061

0.096

0.233

0.181

0.110

0.083

0.093

0.139

0.101

0.119

0.080

0.098

0.147

0.191

0.091

0.112

0.075

0.100

0.105

0.110

0.083

0.084

0.099

0.090

0.096

0.079

0.106

0.137

0.144

0.165

0.121

0.102

0.105

0.109

0.124

0.089

0.074

0.099

0.082

0.102

0.085

0.077

0.069

0.055

0.070

0.074

0.067

0.073

0.051

0.046

0.056

0.068

0.067

0.062

0.077

0.055

0.052

0.054

0.038

0.045

0.041

0.043

0.043

0.058

0.100

0.051

0.038

0.033

0.019

0.032

0.023

0.030

0.024

0.014

0.021

0.011

0.014

0.026

0.795

0.686

0.950

1.002

0.882

0.484

0.671

0.783

0.746

0.716

0.756

0.887

0.715

0.480

0.532

0.776

0.875

0.794

0.822

0.656

0.521

0.666

0.680

0.586

0.447

0.531

0.671

0.687

0.651

0.643

0.714

0.479

0.546

0.504

0.371

0.402

0.503

0.564

0.521

0.541

0.442

0.453

0.378

0.454

0.375

0.347

0.299

0.357

0.316

0.270

0.310

0.273

0.237

0.294

0.333

0.338

0.263

0.256

0.275

0.375

0.260

0.294

0.408

0.364

0.298

0.378

0.325

0.385

0.381

0.335

0.325

0.277

0.270

0.232

0.107

0.245

0.168

0.653

0.718

0.816

1.412

0.900

0.451

0.455

0.810

0.701

0.466

0.836

0.791

0.833

0.583

0.458

0.791

0.948

1.339

1.240

0.953

0.744

1.155

1.200

1.388

0.717

0.971

1.206

1.416

1.346

1.220

1.163

0.904

0.934

0.888

0.702

0.777

0.761

0.740

0.605

0.885

0.874

0.532

0.811

0.618

0.369

0.484

0.326

0.527

0.344

0.268

0.285

0.377

0.286

0.227

0.398

0.468

0.304

0.377

0.403

0.383

0.372

0.281

0.634

0.431

0.329

0.444

0.345

0.314

0.488

0.445

0.288

0.317

0.234

0.473

0.173

0.242

0.121

0.000 0.500 1.000 1.500 2.000 2.500 3.000 3.500 4.000 4.500

May.98Aug. 98Nov. 98Feb.99May.99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug.04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug. 14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

Volume of items (m3)

Volume of Litter Items by Material Type

Cigarette butts Glass Illegal dumping Metal Miscellaneous (excluding illegal dumping) Paper/paperboard Plastic

Revised Sites

Inc CDL - 5c to 10c Sept 08

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- 63 -

4%4%3%3%3%

2%3%2%2%3%4%

3%2%3%3%4%

8%3%3%3%4%6%

3%3%2%4%4%4%

3%4%5%4%4%3%

2%4%3%4%5%5%4%5%4%4%6%5%5%4%

2%6%

5%3%5%5%5%

3%2%

5%5%

3%3%4%5%

4%4%4%4%5%6%

3%3%

6%5%

8%3%3%

6%4%

25%27%

50%34%

31%41%41%

55%39%

23%20%

38%23%

29%27%

20%10%

15%16%

29%27%

21%21%21%

16%18%

23%23%27%

22%17%

30%30%

27%53%

30%35%34%

28%29%

26%19%

38%26%

27%24%

38%34%40%

24%45%

42%35%36%

39%28%

34%31%31%38%

17%18%

23%12%

21%23%

24%26%22%

15%31%

33%31%

31%28%

41%27%

45%

7%9%

6%6%

6%3%4%

3%5%

8%8%

6%6%

6%5%

7%7%6%3%

5%6%

5%4%6%

5%6%

9%6%

4%6%

6%7%6%

6%5%

9%6%6%

7%10%

7%9%

6%6%

8%8%

6%6%

5%10%

6%7%

6%7%

8%7%

6%6%7%

6%7%6%

5%6%

5%5%

4%6%

4%9%

5%6%

7%5%

5%6%

5%8%

3%4%

6%5%

3%2%

5%5%

3%5%

4%3%

6%7%

5%7%

3%4%

4%3%3%

4%4%

3%4%

5%4%

5%4%

5%4%

3%4%

4%3%

4%3%4%

4%5%

4%4%

3%3%

4%6%

4%6%3%

4%4%

5%5%

5%6%

4%4%5%3%

3%4%5%

5%4%

8%9%3%

3%2%

3%2%

3%2%1%

2%2%

2%3%

33%31%

17%28%

24%25%

24%22%

25%31%

38%24%

34%26%

27%34%

35%35%

28%24%24%

26%25%24%

22%26%

21%22%20%

20%23%

21%19%

22%13%

18%18%

21%25%

24%22%

22%22%

19%24%29%

20%24%

20%27%

20%23%

21%21%

24%26%

23%24%

22%21%

34%28%

31%29%

29%31%

30%29%

36%30%

27%28%

25%29%

21%18%

30%23%

28%26%

18%24%

34%26%

23%15%

25%29%

25%26%

30%30%

33%29%

36%38%

47%36%35%

38%43%43%

51%42%

39%40%

41%42%

44%35%

37%37%

24%35%34%

31%32%

27%37%

43%26%

41%32%

29%27%26%

30%29%

20%21%

29%25%

18%31%31%

28%32%30%

35%40%

30%45%

34%37%35%

31%29%

39%35%

25%29%

25%42%

30%30%

16%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Feb. 98May 98Aug. 98Nov. 98Feb.99May 99Aug. 99Nov. 99Feb.00

May. 00Aug.00Nov.00Feb.01

May. 01Aug.01Nov.01Feb.02

May. 02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug.04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug. 14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

% of litter items

Proportion of Total Litter Volume by Material Type- Please note that cigarette butts are not included as the volumes of such are

consistently negligible -

Glass Illegal dumping Metal Miscellaneous (excluding illegal dumping) Paper/paperboard Plastic

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- 64 -

2.3

15 2.5

31

3.9

87

3.4

44

4.1

92

3.4

92

1.9

84

3.4

44

3.1

85

2.3

86

1.8

82

3.1

58

2.6

40

2.7

79

1.7

90

1.5

78

2.1

87 2

.522

2.8

75

3.4

45

2.7

32

1.9

82

2.6

93

2.8

21

2.7

04

1.7

26

2.5

14

3.0

11

3.4

33

3.2

04

2.7

56

3.3

29

2.4

71

2.4

98

3.7

77

2.0

07 2.2

66

2.4

31

2.2

95

2.2

11 2.4

22

2.0

48

2.0

38

1.9

56

1.9

25

1.2

94

1.7

61

1.2

60

1.7

61

1.1

77

1.3

33

1.3

76

1.3

17

1.1

33

1.2

41

1.2

80 1.4

92

1.0

77

1.1

77

1.3

41

1.1

05

0.9

38

0.9

37

1.4

08

1.2

67

0.9

25

1.2

77

1.1

17

1.0

71

1.2

55

1.2

55

1.1

64

1.0

9379978

0.9

34

1.1

20

0.5

84 0.8

10

0.7

44

29°

18°

18°

21°

23°

21°

17°

22°

31°

17°

15°

28°

27°

17°

18°

23°

28° 28°

24°

26°

17°

14°

28°

31°

17°

15°

25°

27°

20°19°

27°

30°

19°19°

18°

33°

21°

17°

33°

31°

24°

15°

32°34°

18°

21°

34°

32°

20°

15°

21°

30°

19°

16°

28°

29°

18°

16°

25°

29°

18°

15°

22°

23° 23°

16°

29°

30°

16°

35°

20°

27°

19°

23°

1

2…

19°

25°

10°

15°

20°

25°

30°

35°

0.000

0.500

1.000

1.500

2.000

2.500

3.000

3.500

4.000

4.500

Fe

b. 98

Ma

y 9

8A

ug. 98

Nov. 98

Fe

b.9

9M

ay 9

9A

ug. 99

Nov. 99

Fe

b.0

0M

ay. 00

Au

g.0

0N

ov.0

0F

eb.0

1M

ay. 01

Au

g.0

1N

ov.0

1F

eb.0

2M

ay. 02

Nov.0

2F

eb.0

3M

ay.0

3A

ug.0

3N

ov.0

3F

eb.0

4M

ay.0

4A

ug.0

4N

ov.0

4F

eb.0

5M

ay.0

5A

ug.0

5N

ov.0

5F

eb.0

6M

ay.0

6A

ug.0

6N

ov.0

6F

eb.0

7M

ay.0

7A

ug.0

7N

ov.0

7F

eb.0

8M

ay.0

8A

ug.0

8N

ov.0

8F

eb.0

9M

ay.0

9A

ug.0

9N

ov.0

9F

eb.1

0M

ay.1

0A

ug.1

0N

ov.1

0F

eb.1

1M

ay.1

1A

ug.1

1N

ov.1

1F

eb.1

2M

ay.1

2A

ug.1

2N

ov.1

2F

eb.1

3M

ay.1

3A

ug.1

3N

ov.1

3F

eb.1

4M

ay.1

4A

ug. 14

Nov.1

4F

eb.1

5M

ay.1

5N

ov.1

5M

ay.1

6N

ov.1

6M

ay.1

7N

ov.1

7M

ay.1

8N

ov.1

8M

ay.1

9N

ov.1

9

Degre

es C

els

ius

Volu

me o

f lit

ter

item

s (

m3)

Weather Temperature and Total Volume of Litter Items

Volume Average Temperature

Inc CDL - 5c to Revised

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- 65 -

2.315

2.531

3.987

3.444

4.192

3.492

1.984

3.0833.185

2.386

1.882

3.158

2.6402.779

1.790

1.578

2.187

2.522

2.875

3.445

2.732

1.982

2.693

2.8212.704

1.726

2.514

3.011

3.433

3.204

2.756

3.329

2.471

2.498

3.777

2.007

2.266

2.4312.295

2.211

2.422

2.0482.038

1.9561.925

1.294

1.761

1.260

1.761

1.177

1.3331.376

1.317

1.1331.241

1.2801.492

1.0771.177

1.341

1.1050.938

0.937

1.408

1.267

0.925

1.277

1.1171.071

1.2551.2551.164

1.0940.934

1.120

0.584

0.8100.744

0.000

0.500

1.000

1.500

2.000

2.500

3.000

3.500

4.000

4.500

Fe

b.9

8M

ay.9

8A

ug.9

8N

ov.9

8F

eb.9

9M

ay.9

9A

ug.9

9N

ov.9

9F

eb.0

0M

ay.0

0A

ug.0

0N

ov.0

0F

eb.0

1M

ay.0

1A

ug.0

1N

ov.0

1F

eb.0

2M

ay.0

2N

ov.0

2F

eb.0

3M

ay.0

3A

ug.0

3N

ov.0

3F

eb.0

4M

ay.0

4A

ug.0

4N

ov.0

4F

eb.0

5M

ay.0

5A

ug.0

5N

ov.0

5F

eb.0

6M

ay.0

6A

ug.0

6N

ov.0

6F

eb.0

7M

ay.0

7A

ug.0

7N

ov.0

7F

eb.0

8M

ay.0

8A

ug.0

8N

ov.0

8F

eb.0

9M

ay.0

9A

ug.0

9N

ov.0

9F

eb.1

0M

ay.1

0A

ug.1

0N

ov.1

0F

eb.1

1M

ay.1

1A

ug.1

1N

ov.1

1F

eb.1

2M

ay.1

2A

ug.1

2N

ov.1

2F

eb.1

3M

ay.1

3A

ug.1

3N

ov.1

3F

eb.1

4M

ay.1

4A

ug.1

4N

ov.1

4F

eb.1

5M

ay.1

5N

ov.1

5M

ay.1

6N

ov.1

6M

ay.1

7N

ov.1

7M

ay.1

8N

ov.1

8M

ay.1

9N

ov.1

9

Volu

me (

m3)

Total Volume (Cubic Metres) of Litter

Revised Sites Inc CDL - 5c to 10c Sept 08

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- 66 -

Weighted Tracking Graphs - Items

Page 69: Litter Strategy Monitoring Wave 78 November 2019 Report › wp-content › uploads › litter-research › ... · 2020-05-04 · - 2 - 1.1 This document has been prepared by McGregor

- 67 -

13365

15566

14219

14087 14746 15995

11080

11894 13111

12832

14420

13917

14391

14531

11892

12533

12723

15995

14376

12644

10707

11473 1

3226 1

4357 1

5791

12696

15719

18875

17816

17336

16398

15417

16157

17108

17096

14113

14802

16849

16084

18281

17400

13832

13622 14442

14433

14539

12322

13124 1415915694

13913

14026

13021

13115 1

4304

13326

13751

11809 1

3294

13363

13096

11129

11164

12855

11319

11179

11674

10611

10735 1

2019

11044

8310 9

354

7246

7504

7270

6918

8205

0

2000

4000

6000

8000

10000

12000

14000

16000

18000

20000

Fe

b.9

8M

ay.9

8A

ug.9

8N

ov.9

8F

eb.9

9M

ay.9

9A

ug.9

9N

ov.9

9F

eb.0

0M

ay.0

0A

ug.0

0N

ov.0

0F

eb.0

1M

ay.0

1A

ug.0

1N

ov.0

1F

eb.0

2M

ay.0

2N

ov.0

2F

eb.0

3M

ay.0

3A

ug.0

3N

ov.0

3F

eb.0

4M

ay.0

4A

ug.0

4N

ov.0

4F

eb.0

5M

ay.0

5A

ug.0

5N

ov.0

5F

eb.0

6M

ay.0

6A

ug.0

6N

ov.0

6F

eb.0

7M

ay.0

7A

ug.0

7N

ov.0

7F

eb.0

8M

ay.0

8A

ug.0

8N

ov.0

8F

eb.0

9M

ay.0

9A

ug.0

9N

ov.0

9F

eb.1

0M

ay.1

0A

ug.1

0N

ov.1

0F

eb.1

1M

ay.1

1A

ug.1

1N

ov.1

1F

eb.1

2M

ay.1

2A

ug.1

2N

ov.1

2F

eb.1

3M

ay.1

3A

ug.1

3N

ov.1

3F

eb.1

4M

ay.1

4A

ug.1

4N

ov.1

4F

eb.1

5M

ay.1

5N

ov.1

5M

ay.1

6N

ov.1

6M

ay.1

7N

ov.1

7M

ay.1

8N

ov.1

8M

ay.1

9N

ov.1

9

Total Litter - Number of Items - Weighted

Trendline

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- 68 -

13365

15566

14219

14087

14746 15995

11080

11894

13111

12832

14420

13917

14391

14531

11892

12533

12723

15995

14376

12644

10707

11473 13226

14357

15791

12696 1

5719

18875

17816

17336

16398

15417

16157

17108

17096

14113

14802

16849

16084 1

8281

17400

13832

13622

14442

14433

14539

12322

13124

14159

15694

13913

14026

13021

13115 14304

13326

13751

11809

13294

13363

13096

11129

11164

12855

11319

11179

11674

10611

10735

12019

11044

8310 9354

7246

7504

7270

6918 8205

29°

18° 18°

21°

23°

21°

17°

22°

31°

17°

15°

28°

27°

17°

18°

23°

28° 28°

24°

26°

17°

14°

28°

31°

17° 15°

25°

27°

20°

19°

27°

30°

19°19°

18°

33°

21°

17°

33°

31°

24°

15°

32°

34°

18°

21°

34°

32°

20°

15°

21°

30°

19°

16°

28°

29°

18°

16°

25°

29°

18°

15°

22°

23°23°

16°

29°

30°

16°

35°

20°

27°

19°

23°

16°

20°

19°

25°

10°

15°

20°

25°

30°

35°

0

5000

10000

15000

20000

25000

30000

35000F

eb. 98

Ma

y.9

8A

ug. 98

Nov. 98

Fe

b.9

9M

ay.9

9A

ug. 99

Nov. 99

Fe

b.0

0M

ay.0

0A

ug.0

0N

ov.0

0F

eb.0

1M

ay.0

1A

ug.0

1N

ov.0

1F

eb.0

2M

ay.0

2N

ov.0

2F

eb.0

3M

ay.0

3A

ug.0

3N

ov.0

3F

eb.0

4M

ay.0

4A

ug.0

4N

ov.0

4F

eb.0

5M

ay.0

5A

ug.0

5N

ov.0

5F

eb.0

6M

ay.0

6A

ug.0

6N

ov.0

6F

eb.0

7M

ay.0

7A

ug.0

7N

ov.0

7F

eb.0

8M

ay.0

8A

ug.0

8N

ov.0

8F

eb.0

9M

ay.0

9A

ug.0

9N

ov.0

9F

eb.1

0M

ay.1

0A

ug.1

0N

ov.1

0F

eb.1

1M

ay.1

1A

ug.1

1N

ov.1

1F

eb.1

2M

ay.1

2A

ug.1

2N

ov.1

2F

eb.1

3M

ay.1

3A

ug.1

3N

ov.1

3F

eb.1

4M

ay.1

4A

ug.1

4N

ov.1

4F

eb.1

5M

ay.1

5N

ov.1

5M

ay.1

6N

ov.1

6M

ay.1

7N

ov.1

7M

ay.1

8N

ov.1

8M

ay.1

9N

ov.1

9

Degre

es C

els

ius

Num

ber

of lit

ter

item

sWeather Temperature and Total Number of Litter Items - Weighted

Weighted Average Temperature

Page 71: Litter Strategy Monitoring Wave 78 November 2019 Report › wp-content › uploads › litter-research › ... · 2020-05-04 · - 2 - 1.1 This document has been prepared by McGregor

- 69 -

58845131

48374994

64884604

456549265141

64935885

55346140

53075765

51297019

64224296

37744703

59076330

73475475

75267795

77427900

65615700

720582138156

59935921

67365872

69876735

51114863

55214764

61814507

55945927

75865786

5446571561566602

61365986

53096185

57585539

45234209

48783969

5089413941034036

49904701

27663214

22952768

252722092232

23

628

826

9 29

9 17

6

12

312

0 17

3 20

8 19

918

916

0 18

312

0 15

734

1 16

518

520

021

5 22

7

16

8 20

6 15

516

6 19

8 29

025

1 28

931

131

4 26

2 24

122

934

430

3 44

755

2 54

247

737

747

6 47

247

7 32

038

8 27

1 27

6 38

229

724

7 28

6 25

0 35

422

724

330

2 31

629

923

323

123

6 36

022

6 14

320

821

619

8 16

214

418

4 18

318

5 10

317

222

7 52

4

538561

525434

358243260

416345

359410

419421

271357

364380

323447

398311

333464

403869

9381355

11451242

11401129

108810801138

11681256

12221255

16151345

12321125

12391149

9261054

782787

898857

1010874

8361018

930895

819848

874783

695733

977658

542727649

538739

570506

491435

443419

455709

12101658

15021555

129210431155

14081254

10841254

15081235

9101085

11821304

13821442

10811075

12041535

1412657

7401062

937968

983965

793769863

870810

953925

1163931

682818

840868

759748

674625

498602

623619

570626

569562

483512

606446

439474

548602

461448468

443466

343327

363342

337291

215444

38553355

37524116

41432526

29153188

28313122

304135363220

27072624

29773731

31132846

25092580

27672934

29272352

28553732

35763059

32993224

286530132712

27203002

33273799

38484165

31553135

31913465

32982845

29723501

31333240

339126652438

266527163052

22662582

28383058

26302760

30363120

24353379

25452735

28102499

22742587

20061991

19251743

1999

38443226

32013349

35392540

28783000

30533164

313732333332

258525462730

33972952

34142731

25792847

28883548

31783462

46334165

38794104

40853946

37933999

30183510

41643681

41263747

32753205

31793710

30552780

28313043

319731313309

28622865

30392748

30132630

28512988

303726112752

305627442509

277326302785

28522787

22532502

19831862

19362069

2297

0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000

May.98Aug. 98Nov. 98Feb.99May.99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug.04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug.14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

Number of Items

Number of Litter Items by Material Type - Weighted

Cigarette butts - weighted Glass - weighted Metal - weighted

Miscellaneous - weighted Paper/paperboard - weighted Plastic - weighted

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- 70 -

14131385

1032857867

1436703

134614311648

9411413

2271935818

6257429621087996

69460910561269

10094456348171262

7389231016737721728833

528507810890

569601861925966

444762588403

869542517493584430381354461389285418437350428406329359463421541530367334385234242262223

23712982

311626042774

35412159

22291804

21232643

22372153

25752418

22412008

23852086

150916291876

2344154021301

9632541

35582984

33252813

188727022894

22372188

2132244921862336

207226342008192121123059

17502389

23383160

24292844

22792794

26222522265024382447

19732385

16951551

20961909

172317871591

148622602101

140614131333

132810441197

1914

32234098

32593976

43364197

295929213697285232943277

41954058

277732413336

48414364

40742722

325236185084

51313538

44265596

47795207

50625185

46465520

543344665279

573858665617

6406390546114953

51285136

441444384855

39084709

43323721

296438624367

38483030

37484985

442730393390

41183277

27964181

32623637

36803120

22672755

21922638

23872364

2830

23932747

23811955

18871761

12731444

15551372

18221613

14511665

147615681711

14921762

16971539

15891780

16852187

21662522

265928162401

227821322290

22232407

22762115

2869306231992702

21582256

23522310

24001664

17412550

279220931915

20322021

24761988

22201633

203518561741

21512237

22752249

23002003

19251950

16231838

13591591

791677

994980

964

83

4 99

380

480

9

10

84 85

858

4 90

5 77

672

1 54

566

8 73

889

656

0 49

3 66

1 61

974

671

770

1 42

5 57

4 80

4 81

554

6 54

1 76

766

650

355

661

7 59

0 47

972

958

6 69

4 50

5 56

5 95

370

052

0 55

7 57

2 60

1 49

873

4 65

3 54

7 52

459

788

777

079

1 94

790

271

867

1 81

6 97

268

844

8 47

0 66

937

339

6 38

451

0 42

1 55

257

843

4 63

437

4 28

930

4 22

5 34

1

864938

1116985

932940

784740

1076789

12721176

848996

10741079

12531226

10841144

10161148

949873

9841101

11201321

13171290

92111871227

11851134

991859

10061015

12361304

1120866

1042950

765632

756756

12539721093

9151109

1066927

11681039

9361029

1013866

997824

896926

656759695

769838

707741

543505

489483

533

17271401

16901591

16702650

18862026

21282135

36032781

19362253

26972355

17222162

20831468

16481373

18691358

17771994

23872663

26422526

14941517

16591670

18011631

18821819

17072317

209417551492

164515451351

13331657

14861418

13821450

13921774

19121389

13871316

17861212

11891177

11951157

10351337

11321129969

1291981

802934

786731

722532

658

818966

11251023

819716

718589

6231576

8691163

653986

512983

12441671

777542

863955

918741

956788

1226962

1257811

1513946

174213901674

11421313

1956873

17331553

1139971

1032821886

1033902

12241770

1189988

14191078

9898501406

122111371051

12351316

9741288

11741372

11729721156

13031058

968952

8421102

1088875

742

0 2000 4000 6000 8000 10000 12000 14000 16000 18000 20000

Feb. 98May.98Aug. 98Nov. 98Feb.99May.99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug.04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug.14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

Number of Litter Items

Number of Litter Items by Site Type - Weighted

Beach - weighted Car park - weighted Highway - weighted Industrial - weighted

Recreational Park - weighted Residential - weighted Retail - weight Shopping Centre - weighted

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- 71 -

15%9%

8%6%6%

5%8%

6%9%9%11%

6%9%

13%6%6%

5%5%6%7%7%

6%5%

7%8%

6%4%5%5%

7%4%5%6%

5%5%5%6%

4%3%

5%5%

3%4%

6%6%7%

3%6%

4%3%

6%4%4%4%4%

3%3%3%4%

3%2%3%4%3%3%4%3%3%4%4%5%5%4%4%5%

3%3%4%

3%

11%18%20%

22%19%

19%22%

20%19%

15%17%

19%17%

16%18%

21%

19%17%16%15%

13%16%

17%18%

12%14%

16%17%

19%17%

20%18%

13%17%17%

14%16%

14%15%

14%13%

12%19%15%

13%15%21%14%18%

17%20%

17%20%

18%21%

18%19%19%

21%18%

15%18%

15%14%

16%17%

15%15%

15%14%

19%19%

17%15%

18%18%

14%17%

23%

11%22%

25%20%

28%30%

25%26%23%

28%19%

20%21%

30%28%21%

25%25%

31%32%

34%24%

29%27%39%

35%28%

28%30%

26%31%32%

37%29%

34%34%

32%36%

34%36%

31%37%

28%34%

34%36%

35%36%

34%34%

25%34%

31%29%

23%27%

33%28%

26%28%37%

34%27%

30%32%

29%25%

36%31%34%

31%28%

27%29%

30%35%

33%34%

34%

18%18%

18%17%

15%14%

12%13%

13%13%

12%14%

13%11%

13%13%14%

14%11%

13%14%

15%15%

14%13%

15%17%

17%15%

16%15%15%15%

15%14%

15%16%14%

17%19%

17%16%16%

17%16%

16%17%

14%13%

18%18%

15%14%

16%15%17%

15%16%

14%15%

14%13%

19%20%

18%20%

21%17%

18%18%14%17%

16%17%

11%9%

14%14%

12%

11%6%

6%5%

5%7%

5%5%7%5%

5%4%

5%5%

6%

5%4%5%

4%5%

5%6%

4%4%

5%5%

4%4%

4%4%

3%4%4%

4%3%

4%4%

5%3%

4%5%

4%4%

4%4%

4%3%

6%5%

4%3%

4%6%

6%6%

7%7%

5%6%

6%7%

5%4%

4%5%

3%4%

3%5%

4%5%

5%5%7%

5%4%

4%3%

4%

8%7%

7%8%

7%7%

6%7%

7%8%

7%9%

8%6%

7%9%8%9%8%

8%9%

9%10%

8%7%

7%9%

8%8%

8%8%6%

8%8%

7%7%

7%6%

6%6%

7%7%8%

6%7%

7%5%

5%6%5%

8%7%8%

7%8%

7%7%

8%9%7%

8%8%

8%9%

6%8%

8%6%

7%6%

6%8%

9%8%

7%7%7%

7%6%

17%13%

10%12%

11%11%15%

16%16%15%

15%3%4%

4%5%

20%3%

13%2%

14%12%

15%2%3%

4%3%

2%2%

3%2%

14%10%

11%11%

10%11%

12%13%

11%11%

13%12%13%

11%11%

11%9%

11%13%

10%9%

10%10%

11%14%

13%10%

10%11%13%

9%9%

11%11%9%9%

12%10%11%9%

11%9%

10%10%

11%10%10%

8%8%

9%6%6%

8%7%6%

4%6%5%5%

12%6%

6%4%

5%7%

6.0%

10%11%

6%4%

8%8%7%

5%6%6%

8%5%

7%5%

9%6%

11%8%

10%8%9%

12%5%

9%9%8%7%7%6%6%

8%7%

9%11%

9%7%

11%8%7%6%

10%10%

9%8%

9%12%

9%10%10%

12%10%9%

11%11%10%

12%10%

12%15%15%

13%9%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Proportion…Feb. 98May 98Aug. 98Nov. 98Feb.99May 99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug. 04Nov.04Feb.05May.05Aug. 05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug.14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

% of Total Litter Items

Proportion of Total Litter by Site Type - Weighted

Beach - weighted Car park - weighted Highway - weighted Industrial - weighted

Recreational Park - weighted Residential - weighted Retail - weighted Shopping Centre - weighted

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- 72 -

5884

5131

4837

4994

6488

46044565

49265141

6493

58855534

6140

5300

5765

5129

7019

6422

4296

3774

4703

5907

6330

7347

5475

7526

77957742

7900

6561

5700

7205

8213 8156

5993

5921

6736

5872

69876735

51114863

5521

4764

6181

4507

55945927

7586

5786

5446

5715

6156

6602

6136

5986

5309

6185

57585539

4523

4209

4878

3969

5089

4139

40134036

4990

4701

2766

3214

2295

27682527

22092232

0

1000

2000

3000

4000

5000

6000

7000

8000

9000

Ma

y.9

8A

ug.9

8N

ov.9

8F

eb.9

9M

ay.9

9A

ug.9

9N

ov.9

9F

eb.0

0M

ay.0

0A

ug.0

0N

ov.0

0F

eb.0

1M

ay.0

1A

ug.0

1N

ov.0

1F

eb.0

2M

ay.0

2N

ov.0

2F

eb.0

3M

ay.0

3A

ug.0

3N

ov.0

3F

eb.0

4M

ay.0

4A

ug.0

4N

ov.0

4F

eb.0

5M

ay.0

5A

ug.0

5N

ov.0

5F

eb.0

6M

ay.0

6A

ug.0

6N

ov.0

6F

eb.0

7M

ay.0

7A

ug.0

7N

ov.0

7F

eb.0

8M

ay.0

8A

ug.0

8N

ov.0

8F

eb.0

9M

ay.0

9A

ug.0

9N

ov.0

9F

eb.1

0M

ay.1

0A

ug.1

0N

ov.1

0F

eb.1

1M

ay.1

1A

ug.1

1N

ov.1

1F

eb.1

2M

ay.1

2A

ug.1

2N

ov.1

2F

eb.1

3M

ay.1

3A

ug.1

3N

ov.1

3F

eb.1

4M

ay.1

4A

ug.1

4N

ov.1

4F

eb.1

5M

ay.1

5N

ov.1

5M

ay.1

6N

ov.1

6M

ay.1

7N

ov.1

7M

ay.1

8N

ov.1

8M

ay.1

9N

ov.1

9

Num

ber

of It

em

s

Total Number of Cigarette Butts - Weighted

Trendlin

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- 73 -

78

057

125

920

118

6 63

515

3 72

4 98

4 10

8139

7 78

2 15

4861

743

930

8 36

7 52

9 58

5 64

636

229

7 54

7 78

557

214

1 19

9 34

8 77

943

142

2 51

433

9 39

8 41

3 49

718

7 20

8 37

3 42

826

1 26

2 39

5 51

523

516

5 42

828

716

2 44

715

310

9 16

7 20

514

9 16

410

6 12

988 1

08 1

63 1

851

22 1

951

57 1

681

09 2

882

17 2

42 3

021

19 1

508

29

0 10

375

45

12571682

16121031

12881843

12901313882

10231545

1072906

13731403

13031050

12531127

710947

10601706

8961373

11561619

19551643

18951578

9911576

172313231276

116813471043

11741007

12611057

10691103

2038710

14651268

1915137015021304

164914171515

134213961509

11121180

804681

10049441036

911774

57613121168

598583

622691

349498

783

7051055

652984

9021094

818495

682300784

638888

1130776

949654

14171363

810334

729950

17881971

11221764

17901525

19301565

13711726

24412364

11971411

139514531125

20517471037

10151041

10821097

10921296

10421327

867988

7131079

1279909809

11941550

1145674

7901023

592742

740732

931672

667333398

328521

504453

356

683564

530463

425562

309297343

248532

440370

460607

570574

425725

533442

624431

405730

710796

781903

740662

612588

754787

515529

766837

915651

687491

604585

1090356

547924

1346796

705779

770995

824927

567779

682784

814698

687629

806517

652683

683708

316527

213188

214224

222

30

0 34

728

624

6 50

4 33

617

5 28

7 27

628

6 14

423

8 26

629

815

118

925

9 20

8 34

532

129

3 16

0 27

3 43

9 32

320

9 20

6 29

020

1 16

012

318

4 19

0 13

221

822

022

6 12

412

5 37

4 21

212

9 14

6 18

317

0 12

827

2 25

2 17

1 13

420

843

7 35

5 40

1 47

0 40

831

330

2 33

947

937

221

417

3 29

010

9 12

815

2 17

814

3 20

023

818

0 17

059

90

60

43

65

23

7 30

430

521

3 25

2 23

024

5 17

8 22

818

2 40

429

1 22

521

724

535

634

2 29

2 32

432

623

6 41

7 27

5 32

9 29

138

8 35

3 45

143

3 47

429

841

6 33

7 37

533

424

419

8 26

523

8 32

4 25

228

315

1 27

519

0 18

014

0 18

3 13

3 57

029

731

626

2 35

5 43

2 29

441

234

7 29

2 37

241

120

031

3 21

419

3 29

812

1 15

511

0 18

923

217

7 19

412

3 54

60

88 1

04

14041051

12741253

12191957

14571542

17851637

29162259

14791677

19711742

12851660

1666950

1024956

14541005

11981366

16501676

16721737

9991072

11441265

13761169

134412151229

16881325

1139926

1194978

889919

11931099

942934

970968

14401473

10721011

9841311

857817

802853

757623

995816

722628

789649

446600

449457

444349

358

445654

708637

539399

470380

3921202

626947

462753

298778

10601425

593331

638787

719607

791608

992674

947626

899624

1238786

1039875

8581416

574959

976603

660666

462609

585575

8741190

701540

892623

587580

966775

673598

667830

579708

722916

773602

748903

737597

592419

677793

479299

0 1000 2000 3000 4000 5000 6000 7000 8000 9000

Feb.98May.98Aug.98Nov.98Feb.99May.99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug.04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug.14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

Number of cigarette butts

Number of Cigarette Butts by Site Type - Weighted

Beach - weighted Car park - weighted Highway - weighted Industrial - weighted

Recreational Park - weighted Residential - weighted Retail - weighted Shopping Centre - weighted

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- 74 -

1%8%

<1%12%

8%6%8%

0%2%

0%0%0%

5%9%

3%6%

0%11%13%

9%0%

4%5%

23%21%

12%16%15%

11%18%17%17%17%

26%24%

20%24%

21%25%

16%30%

28%21%

18%22%

18%24%

20%22%

14%23%

16%17%

12%16%

21%15%15%

19%27%

21%15%

19%21%

15%15%

18%18%

23%13%14%

12%12%14%

19%20%21%

16%

99%92%

100%88%

92%94%92%

100%98%

100%100%100%

95%91%

97%94%

100%89%87%

91%100%

96%95%

77%79%

88%84%85%

89%82%83%83%83%

74%76%

80%76%

79%75%

83%70%

72%79%

82%78%

82%76%

80%78%

86%77%

84%83%

88%84%

79%85%85%

81%73%

79%85%

81%79%

85%85%

82%82%

77%87%86%

88%88%86%

81%80%79%

84%

0% 20% 40% 60% 80% 100%

Feb.98May.98Aug.98Nov.98Feb.99May.99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug.04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug.14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

% of total cigarette butt litter

Proportion of Total Cigarette Butt Litter at Highway sites & Other sites - Weighted

Highway sites - weighted Other sites - weighted

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- 75 -

107

118

140

144 186

89

63 73 90

105

100

113

76 84

59 84

201

97

107 143

140

137

89 118

88

71 105 1

74

121

149

167

145

116

109

90 110

105 1

70

165

179

166

128

152

149

172

87 1

41

85

65 1

26

95

61 103

85 106

73

66 78 91

49 54 65 80 89

71

37 7

9 97 122

62

62 100

81 103

42

42 68

43

52

118

83 1

15

107

50

51 52 6

5

224

56 6

6

85 81

59

86

98

93 77

100

116

91

68

138

92

86

110

142

150 137 134

104

101

122

100 1

28 179

170

179

227

178

144

102 139

99

78

115

80

81

127

77

84

88

93

135

135

108

79

116

91 87 78 61 9

1

75

42

67 7

8 47

157

96

83

86 66

52 69 5

8

77

239

233

149

249

271

196

140 164

258

238

182

216

247

174

147

149

222

263

264

269

170

122

136

170

66

36

32

40

52 5

8 59

39

42 29

38

20

39

59 64

72

43

82

60

46

35

39

46

39

31

39

21

55 1

1

28

26

28

4

17

19

18

16

13 9

11

16

9

27

17

14

11

18

8

22

13

13 1

7 23

17

122

131

125

155

222

141

98

118

167

128

89

146 167

123

136

110

126

147

171

178

128

68

113

120

102

59

84

121

133

107 114

97

87

62

100 70

88

82 1

12

149

100

95

69 6

6

58

59

72

37

24

74

33 38

94

54

73

126

88

58

112

80

65

66

41

78

78

69

45

71

44

119

146

62 89

62

65 6

9 69

35

0

100

200

300

400

500

600

700

800

900

Fe

b.9

8M

ay.9

8A

ug.9

8N

ov.9

8F

eb.9

9M

ay.9

9A

ug.9

9N

ov.9

9F

eb.0

0M

ay.0

0A

ug.0

0N

ov.0

0F

eb.0

1M

ay.0

1A

ug.0

1N

ov.0

1F

eb.0

2M

ay.0

2N

ov.0

2F

eb.0

3M

ay.0

3A

ug.0

3N

ov.0

3F

eb.0

4M

ay.0

4A

ug.0

4N

ov.0

4F

eb.0

5M

ay.0

5A

ug.0

5N

ov.0

5F

eb.0

6M

ay.0

6A

ug.0

6N

ov.0

6F

eb.0

7M

ay.0

7A

ug.0

7N

ov.0

7F

eb.0

8M

ay.0

8A

ug.0

8N

ov.0

8F

eb.0

9M

ay.0

9A

ug.0

9N

ov.0

9F

eb.1

0M

ay.1

0A

ug.1

0N

ov.1

0F

eb.1

1M

ay.1

1A

ug.1

1N

ov.1

1F

eb.1

2M

ay.1

2A

ug.1

2N

ov.1

2F

eb.1

3M

ay.1

3A

ug.1

3N

ov.1

3F

eb.1

4M

ay.1

4A

ug.1

4N

ov.1

4F

eb.1

5M

ay.1

5N

ov.1

5M

ay.1

6N

ov.1

6M

ay.1

7N

ov.1

7M

ay.1

8N

ov.1

8M

ay.1

9N

ov.1

9

Num

ber

of item

s

CDL and Non-CDL Beverage Items Within Material Categories - Weighted

Total CDL glass - weighted Total CDL metal - weighted Total CDL paperboard - weighted Total CDL Plastic - weighted Total non-CDL glass - weighted Total non-CDL paperboard - weighted Total non-CDL Plastic - weighted

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- 76 -

26

133

72

97

36

102

87

77

114

139

119

171

68

298

180

199

56

627

1202

2768

34

89

83

151

49

87

70

75

119

104

111

142

75

313

174

229

123

696

1172

2527

33

114

49

82

89

95

59

46

144

192

68

199

125

314

176

237

156

675

1005

2209

56

58

71

75

88

95

110

112

118

167

168

179

197

213

270

270

478

1096

1426

2232

0 1000 2000 3000

METAL - Flav. water/soft drink, (carbonated), allsizes

PAPER/PAPERBOARD - Cups/take awaycontainers

PLASTIC - Packing tape & straps

PAPER/PAPERBOARD - Packages & boxes

PLASTIC - Lollipop sticks

PAPER/PAPERBOARD - Shopper dockets &related shopping paper (eg. lists)

METAL - Metal pieces

MISCELLANEOUS - Rubber pieces (not tyres)

PAPER/PAPERBOARD - Coffee cups

PLASTIC - Take away & cups

MISCELLANEOUS - Clothing & materials

PLASTIC - Straws

METAL - Other foil

PLASTIC - Snack bags & confectionery wrappers

METAL - Metal bottle tops and can pull rings

PLASTIC - Plastic bottle tops

GLASS - Other glass

PLASTIC - Other plastic

PAPER/PAPERBOARD - Other paper (includingtissues)

CIGARETTE BUTTS - Cigarette butts

Number of Litter Items

Top 20 Litter Items - Highest Counts - Weighted

Nov.19 May.19 Nov.18 May.18

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- 77 -

Weighted Tracking Graphs - Volumes

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- 78 -

0.009

0.015

0.008

0.000

0.008

0.005

0.028

0.001

0.006

0.014

0.010

0.010

0.015

0.180

0.011

0.200

0.097

0.029

0.056

0.312

0.001

0.005

0.004

0.003

0.005

0.003

0.019

0.000

0.005

0.008

0.008

0.003

0.006

0.000

0.008

0.117

0.021

0.009

0.039

0.240

0.005

0.008

0.007

0.000

0.003

0.005

0.030

0.003

0.012

0.019

0.012

0.003

0.011

0.000

0.014

0.125

0.056

0.040

0.105

0.216

0.006

0.006

0.006

0.006

0.008

0.008

0.008

0.009

0.010

0.010

0.012

0.014

0.019

0.022

0.024

0.025

0.028

0.035

0.086

0.336

0.000 0.100 0.200 0.300 0.400

METAL - Food cans (including pet food)

PAPER/PAPERBOARD - Junk mail/freecirculars

PAPER/PAPERBOARD - Packages & boxes

PLASTIC - Plain water (carbonated or non-carb),1 litre+

METAL - Alcoholic sodas & spirit-based mixers

MISCELLANEOUS - Tyres & pieces

PAPER/PAPERBOARD - Newspapers &magazines

GLASS - Other glass

PAPER/PAPERBOARD - Cartons, flavouredmilk, <1 litre

PAPER/PAPERBOARD - Cigarette packets

GLASS - Beer, all colours of glass, <750ml

MISCELLANEOUS - Construction materials

METAL - Foil take away

PLASTIC - Containers, industrial e.g. oil

METAL - Flav. water/soft drink, (carbonated), allsizes

PLASTIC - Containers, domestic type

PAPER/PAPERBOARD - Cups/take awaycontainers

PLASTIC - Take away & cups

PAPER/PAPERBOARD - Coffee cups

MISCELLANEOUS - Illegal dumping

Volume of Litter Items (m3)

Top 20 Litter Items by Volume - Weighted

Nov.19 May.19 Nov.18 May.18

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- 79 -

0.0

850.0

840.0

65 0.1

03 0.2

260.1

270.0

44 0.1

830.1

100.0

720.0

32 0.1

290.0

440.0

320.0

250.0

22 0.0

700.0

460.0

33 0.0

620.0

12 0.0

27 0.0

680.0

550.0

18 0.0

33 0.0

53 0.0

910.0

590.0

17 0.0

440.0

30 0.0

36 0.0

650.0

17 0.0

28 0.0

35 0.0

910.0

460.0

200.0

12 0.0

22 0.0

44 0.0

49 0.0

520.0

07 0.0

300.0

190.0

090.0

06 0.0

12 0.0

130.0

11 0.0

12 0.0

380.0

230.0

18 0.0

210.0

07 0.0

20 0.0

260.0

210.0

09 0.0

210.0

180.0

14 0.0

650.0

12 0.0

30 0.0

590.0

500.0

45 0.0

63 0.0

940.0

07 0.0

110.0

090.0

03

0.160

0.235

0.587

0.471

0.422

0.452

0.187

0.232

0.207

0.211

0.275

0.264

0.276

0.179

0.083

0.194

0.197

0.178

0.161

0.512

0.212

0.141

0.124

0.134

0.121

0.073

0.277

0.266

0.263

0.167

0.195

0.145

0.078

0.156

0.144

0.099

0.048

0.224

0.088

0.121

0.203

0.207

0.107

0.114

0.122

0.056

0.194

0.073

0.067

0.136

0.145

0.146

0.088

0.143

0.147

0.092

0.314

0.135

0.096

0.059

0.134

0.064

0.112

0.116

0.188

0.062

0.071

0.128

0.153

0.132

0.127

0.139

0.069

0.094

0.072

0.029

0.081

0.055

1.005

1.113

1.195

1.279

1.870

0.165

0.209

0.692

1.077

1.123

0.698

1.330

1.118

1.160

0.787

0.197

1.052

0.175

1.494

1.617

1.354

1.101

1.402

1.459

1.390

0.702

1.083

1.194

1.522

1.283

1.277

1.662

1.118

1.164

1.838

1.111

1.369

1.180

1.377

1.183

1.301

1.045

1.019

1.280

1.189

0.717

0.856

0.603

0.861

0.520

0.771

0.744

0.780

0.530

0.590

0.726

0.631

0.597

0.663

0.708

0.599

0.438

0.372

0.593

0.584

0.414

0.739

0.506

0.464

0.599

0.610

0.449

0.498

0.387

0.709

0.252

0.368

0.383

0.15

0.212

0.610

0.580

0.490

0.164

0.169

0.406

0.187

0.191

0.390

0.557

0.459

0.16

0.332

0.17

0.18

0.160.14

0.388

0.192

0.109

0.281

0.378

0.392

0.441

0.430

0.499

0.677

0.15

0.423

0.574

0.537

0.408

0.583

0.558

0.688

0.679

0.493

0.511

0.457

0.484

0.613

0.260

0.323

0.305

0.406

0.392

0.573

0.320

0.254

0.204

0.163

0.201

0.216

0.228

0.273

0.177

0.135

0.237

0.168

0.208

0.249

0.510

0.255

0.226

0.255

0.272

0.207

0.136

0.235

0.383

0.295

0.235

0.204

0.175

0.279

0.145

0.0

49 0.0

29 0.2

280.1

25 0.0

920.1

640.0

40 0.0

76 0.0

290.0

230.0

16 0.0

130.0

15 0.0

230.0

350.0

06 0.0

12 0.0

13 0.0

11 0.0

110.0

220.0

03 0.0

08 0.0

070.0

140.0

08 0.0

35 0.0

54 0.0

120.0

380.0

25 0.0

290.0

41 0.0

06 0.0

170.0

12 0.0

06 0.0

210.0

290.0

25 0.0

150.0

42 0.0

280.0

210.0

140.0

15 0.0

280.0

62 0.0

310.0

20 0.0

120.0

170.0

320.0

27 0.1

21 0.0

36 0.0

210.0

140.0

58 0.0

180.0

120.0

17 0.0

06 0.0

150.0

090.0

19 0.0

100.0

120.0

22 0.0

22 0.0

09 0.0

260.0

830.0

16 0.0

240.0

09 0.0

100.0

06

0.095

0.084

0.403

0.186

0.121

0.148

0.131

0.150

0.131

0.085

0.113

0.199

0.171

0.161

0.106

0.072

0.113

0.133

0.131

0.078

0.108

0.064

0.103

0.058

0.065

0.100

0.081

0.153

0.108

0.105

0.101

0.054

0.066

0.078

0.174

0.123

0.067

0.163

0.214

0.274

0.346

0.141

0.173

0.195

0.159

0.169

0.135

0.084

0.202

0.094

0.114

0.200

0.200

0.188

0.061

0.140

0.180

0.068

0.153

0.204

0.093

0.150

0.139

0.099

0.159

0.105

0.090

0.141

0.155

0.123

0.173

0.061

0.047

0.044

0.050

0.087

0.035

0.103

0.0

18 0.0

55 0.2

700.0

24 0.0

630.6

420.4

24 0.9

200.2

310.0

260.0

29 0.0

230.0

20 0.0

380.0

290.0

30 0.0

22 0.0

18 0.0

15 0.0

240.0

590.0

06 0.0

19 0.0

190.0

280.0

25 0.0

41 0.1

53 0.0

480.0

980.0

27 0.0

190.0

210.0

12 0.0

590.0

64 0.0

42 0.0

420.0

280.0

28 0.0

600.0

32 0.0

290.0

220.0

180.0

15 0.0

390.0

14 0.0

090.0

32 0.0

11 0.0

370.0

210.0

13 0.0

20 0.0

19 0.0

300.0

22 0.0

26 0.0

200.0

070.0

210.0

09 0.0

150.0

140.0

20 0.0

180.0

190.0

13 0.0

84 0.0

660.0

230.0

280.0

26 0.0

380.0

11 0.0

040.0

34

0.0150.011

0.048

0.1860.015

0.148

0.031

0.0520.240

0.0220.005

0.1990.171

0.161

0.007

0.0050.004

0.003

0.0070.005

0.0050.002

0.0060.003

0.002

0.0020.003

0.154

0.009

0.0030.027

0.006

0.015

0.0250.027

0.013

0.011

0.031

0.0200.049

0.027

0.0760.024

0.016

0.047

0.0080.074

0.014

0.0100.050

0.015

0.014

0.0230.020

0.048

0.016

0.026

0.0420.038

0.075

0.067

0.020

0.040

0.039

0.041

0.065

0.028

0.027

0.027

0.101

0.028

0.039

0.011

0.038

0.016

0.009

0.025

0.014

0.0

00

0.2

00

0.4

00

0.6

00

0.8

00

1.0

00

1.2

00

1.4

00

1.6

00

1.8

00

2.0

00

2.2

00

2.4

00

2.6

00

2.8

00

3.0

00

3.2

00

3.4

00

3.6

00

Feb.98May.98Aug.98Nov.98Feb.99May.99Aug.99Nov.99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug.04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug.14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

Volume of litter (m3)

Volume of Litter by Site Type - Weighted

Beach - weighted Car park - weighted Highway - weighted Industrial - weighted

Recreational Park - weighted Residential - weighted Retail - weighted Shopping Centre - weighted

Page 82: Litter Strategy Monitoring Wave 78 November 2019 Report › wp-content › uploads › litter-research › ... · 2020-05-04 · - 2 - 1.1 This document has been prepared by McGregor

- 80 -

11%4%4%

2%3%6%

4%3%

6%4%3%

2%5%

2%2%2%2%4%

2%2%2%

1%2%3%2%

1%2%3%3%

2%1%2%1%2%3%

1%1%2%4%

2%1%

0%1%2%2%3%

1%2%2%0%1%1%1%1%1%3%2%1%2%

1%1%2%2%1%1%1%1%1%1%3%5%4%4%6%

10%1%2%1%

0.5%

15%8%10%15%14%11%14%

10%9%

8%10%15%9%

11%8%6%

13%10%

8%7%

15%9%8%6%6%

6%6%

12%10%

9%7%

8%6%5%

8%5%5%

2%9%

4%5%8%10%

5%6%6%

4%11%

7%4%

12%11%11%

7%13%

12%7%

21%13%

8%4%

12%7%12%

8%15%

7%5%

11%14%11%

10%12%6%

10%6%5%10%

7%

18%56%

57%36%

47%58%

42%37%

25%42%

61%47%54%54%

53%57%

59%63%69%

69%61%

65%74%

69%68%

68%52%

55%50%57%

51%60%

66%59%

61%64%

55%60%

49%60%

53%54%51%

50%65%

62%55%

49%60%

49%44%

58%54%

59%47%

48%57%

42%55%

56%53%

54%47%40%

42%46%

45%35%

45%43%48%

47%39%46%

41%63%

43%45%51%

11%23%

21%21%

23%17%

10%16%

19%19%

17%26%

23%23%

28%24%

18%15%

13%16%

17%17%

11%16%19%

20%31%

23%22%

25%33%

21%23%

27%22%

21%28%

30%28%22%

23%19%

24%30%

13%17%

24%23%

39%33%27%

19%15%12%

18%17%

18%18%

16%11%

18%15%

22%27%

36%20%

24%19%

24%19%

11%18%33%27%

25%18%

30%34%

20%

9%2%1%

6%4%

2%2%

2%3%

1%1%

1%1%1%1%

2%1%1%1%1%

1%1%

0%1%

1%1%

1%2%

2%1%

1%1%

1%2%1%

1%1%

0%1%

1%1%

1%2%

1%1%1%

1%2%

6%2%

2%1%

1%2%

2%10%3%

1%1%

5%1%

1%2%1%

1%1%

2%2%

1%2%

2%1%

2%8%

2%2%

2%1%

1%

17%5%4%

11%6%

4%5%

7%6%

5%4%7%7%7%7%7%5%6%6%5%3%

5%4%5%3%

3%7%4%

6%4%

4%5%

2%4%

4%5%

6%3%

7%9%

12%14%

7%8%

10%8%

13%8%

8%11%

8%9%

15%15%17%

5%11%

12%6%

13%15%

8%16%15%

7%13%

11%9%

13%14%

10%13%

5%4%

5%4%

15%4%

14%

11%1%2%

7%1%

2%19%22%

30%8%

1%2%1%1%2%2%2%1%1%1%1%

2%1%1%1%1%2%2%

5%2%

3%1%

1%1%1%2%3%2%

2%1%

1%2%

2%1%1%

1%1%

2%1%1%

3%1%

3%2%1%

2%1%

2%2%2%

2%1%

2%1%

1%1%

2%2%

2%1%

7%5%2%

3%3%

3%2%

0%5%

8%1%0%

2%2%0%

4%2%3%

14%1%

0%0%

1%

1%

1%1%1%1%0%1%1%

2%1%

4%1%1%

2%1%

4%1%1%

4%1%1%2%2%

4%1%2%

4%3%

6%6%

2%4%3%3%

7%5%

2%3%

8%2%3%1%

4%1%2%

3%2%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

Proportion of sitesFeb. 98May 98Aug. 98Nov. 98Feb.99May 99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug. 04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug. 14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

% of Total Litter Items

Proportion of Litter Volume in Total Litter Stream by Site Type - Weighted

Beach - weighted Car park - weighted Highway - weighted Industrial - weighted

Recreational Park - weighted Residential - weighted Retail - weighted Shopping Centre - weighted

Page 83: Litter Strategy Monitoring Wave 78 November 2019 Report › wp-content › uploads › litter-research › ... · 2020-05-04 · - 2 - 1.1 This document has been prepared by McGregor

- 81 -

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000069

0.000681

0.000775

0.000675

0.000803505

0.000774525

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.001

0.000

0.001

0.000

0.001

0.000

0.000

0.000

0.001

0.001

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.072

0.071

0.083

0.079

0.101

0.049

0.042

0.041

0.055

0.057

0.060

0.068

0.046

0.052

0.046

0.046

0.131

0.051

0.070

0.079

0.090

0.090

0.064

0.061

0.044

0.047

0.070

0.100

0.072

0.091

0.095

0.090

0.065

0.064

0.052

0.073

0.075

0.106

0.111

0.11194717

0.105

0.093

0.086

0.087

0.108

0.059

0.085

0.050

0.038

0.069

0.061

0.036

0.061

0.054

0.066

0.040

0.036

0.051

0.062

0.037

0.036

0.037

0.052

0.058

0.048

0.029

0.048

0.059

0.069

0.043

0.043

0.066

0.059

0.079

0.031

0.019

0.049

0.032

0.432

0.504

1.494

0.882

0.972

1.080

0.612

1.260

0.936

0.414

0.288

0.900

0.450

0.612

0.360

0.234

0.162

0.288

0.342

0.756

0.558

0.306

0.432

0.450

0.324

0.234

0.432

0.522

0.702

0.540

0.360

0.756

0.558

0.504

1.512

0.600

0.792

0.816

0.648

0.648

0.624

0.384

0.768

0.504

0.528

0.312

0.672

0.432

0.696

0.288

0.600

0.576

0.456

0.408

0.480

0.360

0.504

0.336

0.360

0.504

0.192

0.168

0.216

0.168

0.264

0.168

0.312

0.288

0.240

0.192

0.384

0.384

0.336

0.288

0.312

0.240

0.216

0.336

0.123

0.166

0.185

0.162

0.178

0.090

0.063

0.062

0.127

0.145

0.117

0.133

0.116

0.115

0.071

0.077

0.116

0.111

0.066

0.121

0.132

0.079

0.084

0.127

0.108

0.083

0.177

0.126

0.115

0.150

0.124

0.167

0.114

0.113

0.131

0.172

0.145

0.145

0.149

0.22259768

0.181

0.177

0.129

0.120

0.146

0.104

0.105

0.080

0.091

0.113

0.077

0.100

0.083

0.085

0.098

0.093

0.092

0.068

0.084

0.076

0.077

0.058

0.051

0.081

0.059

0.049

0.056

0.067

0.043

0.119

0.059

0.071

0.080

0.049

0.051

0.034

0.044

0.061

0.04

0.07

0.17

0.14

0.08

0.06

0.07

0.10

0.08

0.09

0.06

0.07

0.11

0.14

0.07

0.08

0.06

0.07

0.08

0.08

0.06

0.06

0.07

0.07

0.07

0.06

0.08

0.10

0.11

0.12

0.09

0.08

0.08

0.08

0.09

0.09

0.07

0.10

0.08

0.10

0.09

0.08

0.07

0.06

0.07

0.07

0.07

0.07

0.05

0.05

0.06

0.07

0.07

0.06

0.08

0.06

0.05

0.05

0.04

0.05

0.04

0.04

0.04

0.06

0.10

0.05

0.04

0.03

0.02

0.03

0.02

0.03

0.02

0.01

0.02

0.01

0.01

0.03

0.576

0.596

0.514

0.712

0.751

0.662

0.363

0.503

0.587

0.559

0.537

0.567

0.665

0.537

0.360

0.399

0.582

0.656

0.596

0.616

0.492

0.391

0.499

0.510

0.440

0.335

0.398

0.504

0.515

0.488

0.482

0.535

0.359

0.409

0.378

0.371

0.402

0.503

0.564

0.5208603

0.541

0.442

0.453

0.378

0.454

0.375

0.347

0.299

0.357

0.316

0.270

0.310

0.273

0.237

0.294

0.333

0.338

0.263

0.256

0.275

0.375

0.260

0.294

0.408

0.364

0.298

0.378

0.325

0.385

0.381

0.335

0.325

0.277

0.270

0.232

0.107

0.245

0.168

0.48890.4898

0.5388

0.6121

1.0588

0.67530.3383

0.3414

0.6074

0.52580.3498

0.6273

0.5935

0.6250

0.4373

0.3433

0.5933

0.7108

1.0045

0.92970.7144

0.55770.8663

0.89981.0409

0.5374

0.72830.9044

1.0623

1.00920.9151

0.8721

0.6781

0.70060.6661

0.702

0.777

0.761

0.740

0.604825935

0.885

0.874

0.532

0.811

0.618

0.369

0.484

0.326

0.527

0.344

0.268

0.285

0.377

0.286

0.227

0.398

0.468

0.304

0.377

0.403

0.383

0.372

0.281

0.634

0.431

0.329

0.444

0.345

0.314

0.488

0.445

0.288

0.317

0.234

0.473

0.173

0.242

0.121

0.000 0.500 1.000 1.500 2.000 2.500 3.000 3.500

Feb. 98May.98Aug. 98Nov. 98Feb.99May.99Aug. 99Nov. 99Feb.00May.00Aug.00Nov.00Feb.01May.01Aug.01Nov.01Feb.02May.02Nov.02Feb.03May.03Aug.03Nov.03Feb.04May.04Aug.04Nov.04Feb.05May.05Aug.05Nov.05Feb.06May.06Aug.06Nov.06Feb.07May.07Aug.07Nov.07Feb.08May.08Aug.08Nov.08Feb.09May.09Aug.09Nov.09Feb.10May.10Aug.10Nov.10Feb.11May.11Aug.11Nov.11Feb.12May.12Aug.12Nov.12Feb.13May.13Aug.13Nov.13Feb.14May.14Aug. 14Nov.14Feb.15May.15Nov.15May.16Nov.16May.17Nov.17May.18Nov.18May.19Nov.19

Volume of items (m3)

Volume of Litter Items by Material Type - Weighted

Cigarette butts - weighted Glass - weighted

Illegal dumping - weighted Metal - weighted

Miscellaneous (excluding illegal dumping) - weighted Paper/paperboard - weighted

Plastic - weighted

Page 84: Litter Strategy Monitoring Wave 78 November 2019 Report › wp-content › uploads › litter-research › ... · 2020-05-04 · - 2 - 1.1 This document has been prepared by McGregor

- 82 -

1.7

36

1.8

98

2.9

90

2.5

83

3.1

44

2.6

19

1.4

88

2.5

83

2.3

89

1.7

90

1.4

12

2.3

68

1.9

80

2.0

84

1.3

42

1.1

84

1.6

40 1.8

92 2.1

56

2.5

84

2.0

49

1.4

87

2.0

20

2.1

16

2.0

28

1.2

94

1.8

85

2.2

58 2

.575

2.4

03

2.0

67

2.4

97

1.8

53

1.8

73

2.8

32

2.0

07 2.2

66

2.4

31

2.2

95

2.2

11 2.4

22

2.0

48

2.0

38

1.9

56

1.9

25

1.2

94

1.7

61

1.2

60

1.7

61

1.1

77

1.3

33

1.3

76

1.3

17

1.1

33

1.2

41

1.2

80 1.4

92

1.0

77

1.1

77

1.3

41

1.1

05

0.9

38

0.9

37

1.4

08

1.2

67

0.9

25

1.2

77

1.1

17

1.0

71

1.2

55

1.2

55

1.1

64

1.0

9379978

0.9

34

1.1

20

0.5

84 0.8

10

0.7

44

29°

18°

18°

21°23°

21°

17°

22°

31°

17°

15°

28°

27°

17°18°

23°

28°28°

24°

26°

17°

14°

28°

31°

17°

15°

25°

27°

20°19°

27°

30°

19° 19°

18°

33°

21°

17°

33°

31°

24°

15°

32°

34°

18°

21°

34°

32°

20°

15°

21°

30°

19°

16°

28°

29°

18°

16°

25°

29°

18°

15°

22°

23°23°

16°

29°

30°

16°

35°

20°

27°

19°

23°

16°

20°

19°

25°

10°

15°

20°

25°

30°

35°

0.000

0.500

1.000

1.500

2.000

2.500

3.000

3.500

4.000

4.500F

eb. 98

Ma

y 9

8A

ug. 98

Nov. 98

Fe

b.9

9M

ay 9

9A

ug. 99

Nov. 99

Fe

b.0

0M

ay. 00

Au

g.0

0N

ov.0

0F

eb.0

1M

ay. 01

Au

g.0

1N

ov.0

1F

eb.0

2M

ay. 02

Nov.0

2F

eb.0

3M

ay.0

3A

ug.0

3N

ov.0

3F

eb.0

4M

ay.0

4A

ug.0

4N

ov.0

4F

eb.0

5M

ay.0

5A

ug.0

5N

ov.0

5F

eb.0

6M

ay.0

6A

ug.0

6N

ov.0

6F

eb.0

7M

ay.0

7A

ug.0

7N

ov.0

7F

eb.0

8M

ay.0

8A

ug.0

8N

ov.0

8F

eb.0

9M

ay.0

9A

ug.0

9N

ov.0

9F

eb.1

0M

ay.1

0A

ug.1

0N

ov.1

0F

eb.1

1M

ay.1

1A

ug.1

1N

ov.1

1F

eb.1

2M

ay.1

2A

ug.1

2N

ov.1

2F

eb.1

3M

ay.1

3A

ug.1

3N

ov.1

3F

eb.1

4M

ay.1

4A

ug. 14

Nov.1

4F

eb.1

5M

ay.1

5N

ov.1

5M

ay.1

6N

ov.1

6M

ay.1

7N

ov.1

7M

ay.1

8N

ov.1

8M

ay.1

9N

ov.1

9

Degre

es C

els

ius

Volu

me o

f lit

ter

item

s (

m3)

Weather Temperature and Total Volume of Litter Items - Weighted

Volume - weighted Average Temperature

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1.736

1.898

2.990

2.583

3.144

2.619

1.488

2.3122.389

1.790

1.412

2.368

1.980

2.084

1.342

1.184

1.640

1.892

2.156

2.584

2.049

1.487

2.020

2.116

2.028

1.294

1.885

2.258

2.575

2.403

2.067

2.497

1.8531.873

2.832

2.007

2.266

2.431

2.2952.211

2.422

2.048

2.0381.956

1.925

1.294

1.761

1.260

1.761

1.177

1.333

1.376

1.317

1.133

1.241

1.280

1.492

1.077

1.177

1.341

1.105

0.9380.937

1.408

1.267

0.925

1.277

1.1171.071

1.2551.255

1.1641.094

0.934

1.120

0.584

0.8100.744

0.000

0.500

1.000

1.500

2.000

2.500

3.000

3.500

Fe

b.9

8M

ay.9

8A

ug.9

8N

ov.9

8F

eb.9

9M

ay.9

9A

ug.9

9N

ov.9

9F

eb.0

0M

ay.0

0A

ug.0

0N

ov.0

0F

eb.0

1M

ay.0

1A

ug.0

1N

ov.0

1F

eb.0

2M

ay.0

2N

ov.0

2F

eb.0

3M

ay.0

3A

ug.0

3N

ov.0

3F

eb.0

4M

ay.0

4A

ug.0

4N

ov.0

4F

eb.0

5M

ay.0

5A

ug.0

5N

ov.0

5F

eb.0

6M

ay.0

6A

ug.0

6N

ov.0

6F

eb.0

7M

ay.0

7A

ug.0

7N

ov.0

7F

eb.0

8M

ay.0

8A

ug.0

8N

ov.0

8F

eb.0

9M

ay.0

9A

ug.0

9N

ov.0

9F

eb.1

0M

ay.1

0A

ug.1

0N

ov.1

0F

eb.1

1M

ay.1

1A

ug.1

1N

ov.1

1F

eb.1

2M

ay.1

2A

ug.1

2N

ov.1

2F

eb.1

3M

ay.1

3A

ug.1

3N

ov.1

3F

eb.1

4M

ay.1

4A

ug.1

4N

ov.1

4F

eb.1

5M

ay.1

5N

ov.1

5M

ay.1

6N

ov.1

6M

ay.1

7N

ov.1

7M

ay.1

8N

ov.1

8M

ay.1

9N

ov.1

9

Volu

me (

m3)

Total Volume (Cubic Metres) of Litter - Weighted

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Appendix 2: Data Collection Form

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