economic2016

Cumulative net exported plastic (million tonnes)

Latest available country observation from Our World in Data, based on the chart's cited sources. The series currently runs through 2016; countries can have different observation years.

Source: Our World in Data10 countries

Loading visualization...

Key Insights

Global Average
16.8million tonnes
Median: 9.9million tonnes
Countries Covered
10
with available data
Highest
Hong Kong
56.1million tonnes
Lowest
Canada
3.9million tonnes
Top 5 Countries
1Hong Kong56.1million tonnes
2United States of America26.7million tonnes
3Japan22.2million tonnes
4Germany17.6million tonnes
5Mexico10.5million tonnes
By Region
Asia39.2million tonnes(2 countries)
North America13.7million tonnes(3 countries)
Europe9.7million tonnes(5 countries)

Country Rankings

Top 10 Countries

Bottom 10 Countries

Data Analysis

Value Distribution

How countries are distributed across the value range

Low (3.9million tonnes)High (56.1million tonnes)

Regional Comparison

Average values by world region (Global avg: 16.8million tonnes)

Asia (2)
North America (3)
Europe (5)

Percentile Profile

The curve shows how values change from the lowest to the highest country. Steep sections reveal inequality or outliers.

0th percentile · lowest100th percentile · highest

About This Statistic

Latest available country observation from Our World in Data, based on the chart's cited sources. The series currently runs through 2016; countries can have different observation years. Source: Our World in Data.

Methodology

Country values are taken from the latest observation available in the linked source series.

Full Data

Rank Country Value
1Hong Kong56.1million tonnes
2United States of America26.7million tonnes
3Japan22.2million tonnes
4Germany17.6million tonnes
5Mexico10.5million tonnes
6United Kingdom9.3million tonnes
7Netherlands7.7million tonnes
8France7.6million tonnes
9Belgium6.4million tonnes
10Canada3.9million tonnes
Showing 10 of 10 countries

Topics

Data Source

This data comes from Our World in Data (2016).

View Original Source