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Jerseys, Sweatshirts & Pullovers - Haiti

Haiti
  • The Jerseys, Sweatshirts & Pullovers market in Haiti is projected to generate a revenue of US$31.33m in 2024.
  • With an anticipated annual growth rate of -0.87% (CAGR 2024-2029), the market is expected to see positive development.
  • When compared globally, United States leads the way in terms of revenue generation, reaching an impressive US$26bn in 2024.
  • In relation to the total population, the per person revenue in Haiti's Jerseys, Sweatshirts & Pullovers market is estimated to be US$2.64 in 2024.
  • Looking ahead, the volume of the Jerseys, Sweatshirts & Pullovers market is forecasted to reach 1.9m pieces units by 2029.
  • However, a slight decline of -0.1% is expected in 2025.0.
  • On an individual level, the average volume per person in Haiti's Jerseys, Sweatshirts & Pullovers market is predicted to be 0.2pieces units in 2024.
  • Despite its tropical climate, the demand for lightweight, breathable jerseys in Haiti is on the rise due to the popularity of outdoor sports and recreational activities.

Definition:

The Jerseys, Sweatshirts & Pullovers market includes knitwear, sweatshirts, jerseys, and sweaters for women that are usually worn as the outermost layer of clothing; however, outdoor jackets and coats are not covered.

Additional Information:

The market comprises revenue and average revenue per capita, volume and average volume per capita, price per unit, sustainable apparel share, and sales channels. Online channel distribution refers to the purchase of physical goods in online retail. In other words, the purchase is concluded via the internet – on a desktop PC, tablet, or smartphone. The offline distribution channel covers all purchases in stationary stores made via telesales or mail orders (e.g., print catalogs).

In-Scope

  • Knit sweaters
  • Sweatshirts
  • Jerseys
  • Turtleneck sweaters and undersweaters

Out-Of-Scope

  • T-Shirts

Revenue

Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Sep 2024

Source: Statista Market Insights

Most recent update: Sep 2024

Source: Statista Market Insights

Most recent update: Mar 2024

Sources: Statista Market Insights, Annual reports of key players, Desk research, Statista Consumer Insights Global

Notes: The chart “Comparable Estimates” shows the forecasted development of the selected market from different sources. Please see the additional information for methodology and publication date.

Most recent update: Feb 2023

Volume

Most recent update: Sep 2024

Source: Statista Market Insights

Most recent update: Sep 2024

Source: Statista Market Insights

Price

Most recent update: Sep 2024

Source: Statista Market Insights

Key Players

Most recent update: Mar 2024

Source: Statista Market Insights

Sales Channels

Most recent update: Mar 2024

Source: Statista Market Insights

Global Comparison

Most recent update: Sep 2024

Source: Statista Market Insights

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.

Key Market Indicators

Notes: Based on data from IMF, World Bank, UN and Eurostat

Most recent update: Sep 2024

Source: Statista Market Insights

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