Textile Per Capita Consumption 2005-2022
This report analyses the development and outlook of textile per capita consumption for 25 countries from 2005 until 2022. These economies had a combined population of 4.8bn in 2017 and account for around two thirds of global consumption.
Published by the Fiber Year GmbH, the report is available in three parts:
- Part 1: lower middle-income countries, such as Bolivia, Egypt, India, Indonesia and Philippines.
- Part 2: upper middle-income countries, such as Argentina, Brazil, China, Colombia, Mexico, Peru, Russia and Thailand.
- Part 3: high-income countries: Australia, Canada, France, Germany, Italy, Japan, South Korea, Spain, Switzerland, Taiwan, the UK and the US.
Publication date February 2018
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In total, the 25 countries with a joint population of 4.7bn consumed more than 70m tonnes of textiles in 2016, while the remaining 2.6bn consumers consumed around 35m tonnes.
The joint market size of the 25 countries witnessed an average annual growth rate of 1.5% between 2005 and 2016, which is expected to accelerate to 3% until 2022.
The accumulated market size of the group of lower middle-income countries is projected to experience strongest growth by increasing their market size by 7-8% on annual basis each until 2022.
Similarly, the eight upper middle-income countries are forecast to see yearly growth rates of 1.5-3.5%.
The high-income markets are expected to expand no faster than 2.5% per year with the five countries presently within the EU to grow at less than 1% and Japan to decline owing to its shrinking population.
The forecast for future textile demand levels refers to GDP per capita projections in current prices in US dollars released by the International Monetary Fund in October 2017 and gives a brief summary of the economic status and development, status of the textile industry, trade performance, current news such as the renegotiation of NAFTA and Brexit, as well as climatic conditions.
The combination of such parameters is believed to deliver a well-grounded platform to predict future textile consumption levels.