Apparel

China

(Core country: data based on in-depth analysis)

Highlights
Market definition
in-scope / out-of-scope
Reports special
  • Revenue in the Apparel market amounts to US$322,161m in 2019. The market is expected to grow annually by 5.5% (CAGR 2019-2023).
  • The market's largest segment is the segment Women's & Girls' Apparel with a market volume of US$128,669m in 2019.
  • In global comparison, most revenue is generated in United States (US$348,300m in 2019).
  • In relation to total population figures, per person revenues of US$223.53 are generated in 2019.
Show more
With a volume of more than 300 billion Euros the Clothes market is the most important non-food segment within the European retail sector. It comprises all clothing segments that are produced for private end customers. This market is broken down into the following product lines: Women’s Apparel, Men’s Apparel, Sportswear and Swimwear, Underwear, Hosiery and other clothes. Work clothes as well as other personal accessories such as watches and jewelry, handbags or similar items that do not count as actual articles of clothing are not included. The European clothing market is mostly based on imports. A noteworthy amount of actual producers can only be found in some Mediterranean countries (Spain, Italy) and Eastern Europe. The most important procurement countries are located in Asia (China, Vietnam and Bangladesh). Turkey, however, is also of significance in this regard. Nike, ZARA, H&M and Uniqlo are the most valuable fashion brands in the world. In addition, there are numerous small, middle-sized and big brands that operate successfully at a national or regional level. Along general lines, the distribution channels can be divided into stationary suppliers of multi-label products (department stores, traditional specialist shops), vertically integrated textile chains (e.g. H&M, Primark) and mail-order businesses (e-commerce, ordering by catalog). Furthermore, some fashion brands seek direct contact with their customers through single-label stores. The upswing in online shopping and the continuing expansion of the major textile chains leads to an increasing pressure on price levels in an ever-growing total market.
in-scope
  • Women's Apparel
  • Men's Apparel
  • Sportswear and Swimwear
  • Underwear and Hosiery
  • Other clothes (Leather Clothes, Baby Clothes, Gloves, Neckwear, Hats and Caps etc.)
out-of-scope
  • Work clothes
  • Handbags
  • Watches and jewelry
  • Ski suits
  • Umbrellas
Apparel Report 2019

Apparel Report 2019

Statista Consumer Market Outlook - Market Report
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Revenue (2019)
+6.4% yoy
US$322,161m
Average Revenue per Capita (2019)
+5.9% yoy
US$223.53

Revenue Revenue Growth

in the Apparel market in million US$ in percent

Reading Support Revenue in the Apparel market amounts to US$322,161m in 2019. Reading Support The Apparel market is expected to show a revenue growth of 6.0% in 2020.

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  • Revenue
  • Revenue Growth
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Revenue:

The “Revenue” box shows the forecasted revenue development of the selected market (market segment, region) in million US dollars for each year.


Revenue Growth:

The “Revenue Growth” box shows the year-over-year revenue development of the selected market (market segment, region) in percentage terms.

A definition and detailed explanation of the displayed markets can be found here.
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Average Revenue per Capita

in the Apparel market in US$

Reading Support The average revenue per person in the market for Apparel amounts to US$223.53 in 2019.

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Average Revenue per Capita:

The "Average Revenue per Capita" box shows the average market value of the selected market (market segment, region) per person in US dollars for each year.

A definition and detailed explanation of the displayed markets can be found here.
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Analyst Opinion

While Greater China almost overtakes the U.S. as largest fashion market in the world, key economic indicators create a more cautious mood for the global fashion industry potentially slowing down by 2020. For companies it is crucial to prepare plans to address a possible transformation of global value chains emerging by new opportunities from global consumer spending shifting towards emerging economies as well as trade tensions and uncertainties. A leverage point could be to take a strong position on social and environmental issues, as this is very much demanded by the younger generation.

World Map

Sales Channels

in the Apparel market in percent

Reading Support In the Apparel market, 72% of total revenue will be generated through online sales by 2023.

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Sales Channels:

The distribution channel Online 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 distribution channel Offline covers all purchases in stationary stores, via telesale or mailorder (e.g. print catalogs)

A definition and detailed explanation of the displayed markets can be found here.
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Luxury Revenue Share

in the Apparel market in percent

Reading Support By 2019, 98% of sales in the Apparel market will be attributable to Non-Luxury goods.

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Luxury Revenue Share:

The Luxury Revenue Share box shows the percentage of the selected market (market segment, region) that is attributable to sales of personal luxury goods. The corresponding luxury figures can be found in the Luxury Goods market.

A definition and detailed explanation of the displayed markets can be found here.
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Volume Volume Growth

in the Apparel market in million pieces in percent

Reading Support In the market for Apparel, volume is expected to amount to 31,673 m pcs. by 2023. Reading Support The market for Apparel is expected to show a volume growth of -0.5% in 2020.

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  • Volume
  • Volume Growth
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Volume:

The “Volume” box shows the apparent consumption of the selected product (market segment, region) in millions for each year.

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Average Volume per Capita

in the Apparel market in pieces

Reading Support The average volume per person in the market for Apparel amounts to 21.86 pieces in 2019.

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Average Volume per Capita:

The "Average Volume per Capita" box shows the average volume of the selected market (market segment, region) per person for each year.

A definition and detailed explanation of the displayed markets can be found here.
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Price per Unit

in the Apparel market in US$

Reading Support The average price per unit in the market for Apparel amounts to US$10.23 in 2019.

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Price per Unit:

The "Price per Unit" box shows the average retail value per unit in the selected market (market segment, region) in US dollars for each year.

A definition and detailed explanation of the displayed markets can be found here.
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Global Comparison - Revenue

in the Apparel market in million US$

Reading Support With a market volume of US$348,300m in 2019, most revenue is generated in United States.

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Global Comparison – Revenue:

The “Revenue” tab shows a comparison of revenues for the leading economies in the selected market (market segment, region) and year.

A definition and detailed explanation of the displayed markets can be found here.
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Key Market Indicators

The following Key Market Indicators give an overview of the demographic, economic and technological development of the selected region on the basis of general KPIs. The calculation of Statista’s Market Outlook is based on a complex market-driver logic including over 400 region-specific data sets.

201520162017201820192020202120222023 CAGR
(2015-2023)
Population in m
Number of individuals (all ages) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
0-4 years in m
Number of individuals (age 0-4) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
5-9 years in m
Number of individuals (age 5-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
10-14 years in m
Number of individuals (age 10-14) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
15-19 years in m
Number of individuals (age 15-19) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
20-24 years in m
Number of individuals (age 20-24) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
25-29 years in m
Number of individuals (age 25-29) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
30-34 years in m
Number of individuals (age 30-34) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
35-39 years in m
Number of individuals (age 35-39) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
40-44 years in m
Number of individuals (age 40-44) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
45-49 years in m
Number of individuals (age 45-49) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
50-54 years in m
Number of individuals (age 50-54) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
55-59 years in m
Number of individuals (age 55-59) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
60-64 years in m
Number of individuals (age 60-64) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
65-69 years in m
Number of individuals (age 65-69) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
70-74 years in m
Number of individuals (age 70-74) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
75-79 years in m
Number of individuals (age 75-79) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
80-84 years in m
Number of individuals (age 80-84) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
85-89 years in m
Number of individuals (age 85-89) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
90-94 years in m
Number of individuals (age 90-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
95-99 years in m
Number of individuals (age 95-99) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
100+ years in m
Number of individuals (age 100+) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
Female population in m
Number of female individuals (all ages) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects. | Source: Statista, based on UN DESA
0-4 years in m
Number of female individuals (age 0-4) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
5-9 years in m
Number of female individuals (age 5-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
10-14 years in m
Number of female individuals (age 10-14) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
15-19 years in m
Number of female individuals (age 15-19) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
20-24 years in m
Number of female individuals (age 20-24) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
25-29 years in m
Number of female individuals (age 25-29) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
30-34 years in m
Number of female individuals (age 30-34) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
35-39 years in m
Number of female individuals (age 35-39) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
40-44 years in m
Number of female individuals (age 40-44) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
45-49 years in m
Number of female individuals (age 45-49) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
50-54 years in m
Number of female individuals (age 50-54) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
55-59 years in m
Number of female individuals (age 55-59) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
60-64 years in m
Number of female individuals (age 60-64) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
65-69 years in m
Number of female individuals (age 65-69) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
70-74 years in m
Number of female individuals (age 70-74) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
75-79 years in m
Number of female individuals (age 75-79) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
80-84 years in m
Number of female individuals (age 80-84) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
85-89 years in m
Number of female individuals (age 85-89) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
90-94 years in m
Number of female individuals (age 90-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
95-99 years in m
Number of female individuals (age 95-99) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
100+ years in m
Number of female individuals (age 100+) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
Male population in m
Number of male individuals (all ages) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
0-4 years in m
Number of male individuals (age 0-4) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
5-9 years in m
Number of male individuals (age 5-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
10-14 years in m
Number of male individuals (age 10-14) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
15-19 years in m
Number of male individuals (age 15-19) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
20-24 years in m
Number of male individuals (age 20-24) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
25-29 years in m
Number of male individuals (age 25-29) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
30-34 years in m
Number of male individuals (age 30-34) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
35-39 years in m
Number of male individuals (age 35-39) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
40-44 years in m
Number of male individuals (age 40-44) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
45-49 years in m
Number of male individuals (age 45-49) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
50-54 years in m
Number of male individuals (age 50-54) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
55-59 years in m
Number of male individuals (age 55-59) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
60-64 years in m
Number of male individuals (age 60-64) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
65-69 years in m
Number of male individuals (age 65-69) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
70-74 years in m
Number of male individuals (age 70-74) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
75-79 years in m
Number of male individuals (age 75-79) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
80-84 years in m
Number of male individuals (age 80-84) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
85-89 years in m
Number of male individuals (age 85-89) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
90-94 years in m
Number of male individuals (age 90-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
95-99 years in m
Number of male individuals (age 95-99) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA
Business cycle
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GDP deflator
The GDP deflator is derived by dividing current price GDP by constant price GDP and is considered to be an alternate measure of inflation. Data are expressed in the base year of each country's national accounts. | Source: Statista, based on IMF
Household income
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Income share of top 20% in %
Share of income that accrues to the income group of the highest 20% | Source: Statista, based on World Bank
Income share of second 20% in %
Share of income that accrues to the income group of the second 20% | Source: Statista, based on World Bank
Income share of third 20% in %
Share of income that accrues to the income group of the third 20% | Source: Statista, based on World Bank
Income share of fourth 20% in %
Share of income that accrues to the income group of the fourth 20% | Source: Statista, based on World Bank
Income share of lowest 20% in %
Share of income that accrues to the income group of the lowest 20% | Source: Statista, based on World Bank
Consumer spending (current) in US$
Average consumer spending per capita of private households in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Foodstuffs, beverages in US$
Consumer spending per capita for food and non-alcoholic beverages (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. In contrast, the Food market in the Consumer Market Outlook covers only certain segments of processed food and excludes for example fresh food, oils and fats and some other items. The markets for Alcoholic, Non-Alcoholic and Hot Drinks in turn not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Alcohol, tobacco in US$
Consumer spending per capita for alcoholic beverages, tobacco and narcotics (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. The market for Alcoholic, Non-Alcoholic and Hot Drinks not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Clothing, footwear in US$
Consumer spending per capita for clothing and footwear (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). Included are both consumption of goods as well as services (cleaning and cobblers). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Housing in US$
Consumer spending per capita for housing, water, electricity, gas and other fuels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Household in US$
Consumer spending per capita for furnishings, household equipment and routine maintenance of the house (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Health in US$
Consumer spending per capita for health (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Transport in US$
Consumer spending per capita for transport (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Communication in US$
Consumer spending per capita for communication (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Recreation, culture in US$
Consumer spending per capita for recreation and culture (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Education in US$
Consumer spending per capita for education (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Restaurants, hotels in US$
Consumer spending per capita for restaurants and hotels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Other in US$
Consumer spending per capita for miscellaneous goods and services (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Consumer price index (CPI)
Consumer price index (CPI) for a weighted basket of goods and services. The weights of the components vary by country according to local consumption patterns. The base year (100) has been set to 2017 for all countries, the base year of the input data may vary. | Source: Statista, based on IMF WEOD
Foodstuffs, beverages
Consumer price index for food and non-alcoholic beverages. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Alcohol, tobacco
Consumer price index for alcoholic beverages, tobacco and narcotics. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Clothing, footwear
Consumer price index for clothing and footwear. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Housing
Consumer price index for housing, water, electricity, gas and other fuels. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Household
Consumer price index for furnishings, household equipment and routine maintenance of the house. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Health
Consumer price index for health. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Transport
Consumer price index for transport (purchase of vehicles, maintenenace of vehicles and transport services). Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Communication
Consumer price index for communication. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Recreation, culture
Consumer price index for recreation and culture. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Education
Consumer price index for education. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Restaurants, hotels
Consumer price index for restaurants and hotels. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices
Other
Consumer price index for miscellaneous goods and services. These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. Gaps filled with next higher COICOP position. | Source: Statista, based on IMF, national statistical offices
Tourism
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International tourism departures in m
Number of people from the selected region setting out to travel other countries for touristic purposes | Source: Statista, based on World Bank
International tourist arrivals in m
Number of visitors from abroad arriving in the selected region for touristic purposes | Source: Statista, based on World Bank
International tourism expenditure in billion US$
International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. Domestic tourism expenditures are therefore not inlcuded. The data is not adjusted for inflation or currency effects. | Source: Statista, based on World Bank
International tourism receipts in billion US$
International tourism receipts denote expenditures by inbound tourists from other countries in the selected region. Receipts from domestic tourism are not included. The data is not adjusted for inflation or currency effects. | Source: Statista, based on World Bank
International trade
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Trade (% of GDP) in %
Sum of exports and imports of goods and services in relation to total gross domestic product (GDP) | Source: Statista, based on World Bank, OECD
Container port traffic in m TEU
Sum of on- and offloading of containers (TEU: 20 foot equivalent units) to marine vessels in the selected region | Source: Statista, based on UNCTAD, World Bank
Finance
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Banking penetration in %
Population share using a bank account | Source: Statista, based on World Bank
Credit card penetration in %
Percentage of the total population who own at least one credit card | Source: Statista, based on World Bank
Debit card penetration in %
Percentage of the total population who own at least one debit card | Source: Statista, based on World Bank
Online banking penetration in %
Estimated population share that uses the internet for accessing banking services | Source: Statista, based on World Bank and Eurostat
Households in m
Total number of households in the selected region | Source: Statista
GDP (current) in US$
Gross domestic product (in current prices, constant exchange rate) of the selected region per capita | Source: Statista, based on IMF WEOD
Source: Statista, September 2019
Source: Statista, September 2019, based on IMF, World Bank, UN and Eurostat

Methodology

The Apparel market is built on resources from the Statista platform as well as on in-house market research, national statistical offices, international institutions, trade associations, companies, the trade press, and the experience of our analysts. We evaluate the status quo of the market, monitor trends, and create an independent forecast regarding market developments of the global Apparel industry.

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