Trousers - Burundi

  • Burundi
  • In 2024, the revenue generated in the Trousers market in Burundi amounts to US$5.05m.
  • It is projected that the market will experience an annual growth rate of 3.78% (CAGR 2024-2029).
  • When compared globally, in the United States generates the highest revenue in the Trousers market, reaching US$7,679m in 2024.
  • Taking into account the total population figures, the per person revenue in Burundi's Trousers market is US$0.37 in 2024.
  • By 2029, the volume in the Trousers market is expected to reach 3.1m pieces.
  • In 2025, there is a projected volume growth of 2.9%.
  • The average volume per person in the Trousers market is expected to be 0.2pieces in 2024.
  • The demand for traditional Burundian trousers made from locally sourced materials is increasing among tourists visiting the country.

Key regions: Australia, Singapore, Philippines, United States, China

 
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Methodology

Data coverage:

Data encompasses B2C enterprises. Figures are based on the consumer spending on clothing which comprises women, men, and children segments that are produced for private end customers for both offline retail (department stores, traditional specialist shops) and online retail (e-commerce, ordering by catalog).

Modeling approach / Market size:

Market sizes are determined by a combined Top-Down and Bottom-Up approach, based on a specific rationale for each market segment. As a basis for evaluating markets, we use resources from the Statista platform, national statistics, industry research, market data from independent databases and third-party sources, historical developments, current trends, reported performance indicators from the key market players, and Statista interviews with market experts. Next we use relevant key market indicators and data from country-specific associations such as GDP, consumer spending, consumer price index and population. This data helps us to estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the particular market. For example, the exponential trend smoothing illustrates suited forecasting for the Apparel market with projected steady growth. The main drivers are GDP per capita and consumer spending per capita.

Additional Notes :

The market is updated twice per year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level.

Overview

  • Revenue
  • Volume
  • Price
  • Sales Channels
  • Global Comparison
  • Methodology
  • Key Market Indicators
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