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London Wider Waste Strategy - London - Greater London Authority

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Table 4.3: Total commercial and industrial waste in <strong>London</strong> per sector, 1999<br />

(based on information provided by the Environment Agency from the 1999<br />

National <strong>Waste</strong> Production Survey)<br />

Sector Sector Name Total Arisings (000 tonnes)<br />

1 Food, drink and tobacco 525.2 (7%)<br />

2 Textiles, wood, paper 628.9 (9%)<br />

3 Chemicals, rubber, mineral products 346.3 (5%)<br />

4 Metals, metal products 102.9 (1%)<br />

5 Other manufacturing 277.1 (4%)<br />

6 Coke, oil, gas, electricity, water 38.2 (0.5%)<br />

7 Transport, storage, communications 581.5 (8%)<br />

8 Miscellaneous 239.6 (3%)<br />

9 Wholesale 537.9 (8%)<br />

10 Retail 928.9 (13%)<br />

11 Hotels, catering 598.8 (8%)<br />

12 Finance 281.8 (4%)<br />

13 Education 296.6 (4%)<br />

14 Other business and public administration 1,706.4 (24%)<br />

Total 7,090.2 (98.5%)<br />

4.17. With regard to the above table, it is interesting to note that wastes from the commercial<br />

sectors (i.e. sectors 9-14) are likely to be similar in composition to municipal solid<br />

waste. In percentage terms, this represents nearly two thirds (61%) of the total<br />

estimated commercial and industrial waste arisings. This is a higher proportion than<br />

may be expected in other areas of the country. In this regard there may be the potential<br />

for a greater degree of integration between the Mayor’s Municipal <strong>Waste</strong> Management<br />

<strong>Strategy</strong> and that for wider wastes than applies elsewhere in the country. In particular,<br />

these types of waste management facilities developed to process municipal wastes<br />

would also be suitable for processing these commercial and industrial waste arisings.<br />

4.18. There are a number of potential sources of inaccuracy with regard to the data presented<br />

in the SWMAL as follows:<br />

• Since all the information is based on survey returns rather than absolute data there<br />

is the potential for error due to the level of confidence provided by the sample size.<br />

• With regard to the DEFRA data, a local authority may provide an estimate if it does<br />

not have the required information, and, likewise, DEFRA may estimate data to fill in<br />

any incomplete or missing sections.<br />

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