Market Insights Consumer Apparel Women's Apparel

Trousers - Dominican Republic

Dominican Republic

In 2024, the revenue generated in the Trousers market in the Dominican Republic amounts to US$63.74m.
It is projected that the market will experience an annual growth rate of 2.70% (CAGR 2024-2029).
In a global perspective, in the United States generates the highest revenue in this segment, with a total of US$30,050m in 2024.
When considering the population figures, the per person revenue in the Trousers market is estimated to be US$5.58 in 2024.
Looking ahead to 2029, the volume in the Trousers market is expected to reach 8.7m pieces.
Additionally, a growth of 3.1% is projected for the year 2025.
On average, each person in the Dominican Republic is expected to contribute a volume of 0.7pieces to the Trousers market in 2024.
"The demand for tailored trousers in the Dominican Republic is rising due to the country's growing middle class and increasing focus on professional attire."

Key regions: India, Philippines, Singapore, Europe, Germany

Market

Region

Region comparison

Currency

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.