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Band 6+: The number of people in Europeaffected by four types of noise pollution in 2007

Image for topic: The number of people in Europeaffected by four types of noise pollution in 2007
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The image compares numbers of people in Europe affected by four types of noise pollution in 2007, differentiated by day and night across cities and rural areas; in cities, traffic noise impacts 68 million by day and 48 million at night, train noise affects 10 million by day and 8 million at night, aircraft noise impacts 4 million by day and 1 million at night, industry noise affects 1 million by day and 0.25 million at night; in rural areas, traffic noise impacts 35 million by day and 24 million at night, train noise affects 8 million by day and 6 million at night, aircraft noise impacts 2 million by day and 1 million at night, industry noise affects 0 million at both day and night.
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The graphs demonstrate the proportion of European residents who suffered by noise caused by four types of polluters – traffic, trains, aircraft, and industry – in 2007, separated by day and night across cities and rural areas, measured in millions. Overall, the most people affected by noise of traffic regardless the place where they lived, while industry was the category which disturbed the lowest number of people. In addition, in all categories, the number of people affected during the day exceeded those affected at night

In cities, the most individuals exposed to noise compare to rural areas. Traffic noise affected 68 millions of people during the day and 48 millions of people at night, making it the main distributor. Trains influenced 10 million people during daytime while at night it dropped to 8 million, followed closely by aircraft with 4 million and a million throughout the day and at night, respectively. Only a million people during the day and a quarter of a million citizens at night got an impact from industry.

As for rural areas, the same pattern can be seen for them, too. Traffic influanced 35 millions of people during daylight whereas less people, 24 million, affected the hours of darkness. The figures for trains at night and day time quite close with respective 6 million and 8 million numbers, followed distantly by aircraft whose daylight figure (2 million) was twofold higher than nigh-time – a million. Meanwhile, there are not any residents who influenced by industry during both day and night time in countrysides.

Word Count: 257

Answers On The Same Topic:

The number of people in Europeaffected by four types of noise pollution in 2007

Number of people in Europe affected by four different kinds of noise pollution in 2007. Overall, there are four types of noise pollution and these are traffic, trains, aircraft, and industry. Additionally, in both urban and rural areas the traffic is the highest and the industry is the lowest ones among others. It is clear […]

The number of people in Europeaffected by four types of noise pollution in 2007

The bar charts illustrate the number of individuals in Europe affected by four types of noise pollution during 2007, measured in millions. Overall, cities recorded higher number than rural areas in every types of noise pollution, with traffic topping the chart in both night and day. It is closely followed by trains which ranked second […]

The number of people in Europeaffected by four types of noise pollution in 2007

The bar chart compares the number of individuals in Europe affected by four types of noise pollution in 2007. Overall, the number of people who were affected by traffic noise was significantly higher in both cities and rural areas among all categories. By contrast, those affected by industry noise had the lowest figure in cities, […]

The number of people in Europeaffected by four types of noise pollution in 2007

The bart charts compare the four types of noise pollution — traffic, trains, aircraft, and industry — that had a noticeable impact in urban and rural areas on European residents in 2007. Units are measured in millions. Overall, both urban and rural people mostly were distracted by each factor during the day. The largest amount […]

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