Highlights
Market definition
in-scope / out-of-scope
Reports special
  • Revenue in the Sports & Swimwear segment amounts to US$1,125m in 2018. The market is expected to grow annually by 1.8% (CAGR 2018-2021).
  • From an international perspective it is shown that most revenue is generated in the United States (US$12,881m in 2018).
  • In relation to total population figures, per person revenues of US$45.45 are generated in 2018.
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The market for Sports and Swimwear consists of, in a narrower sense, track suits (including both complete sets and separate suit tops and bottoms) as well as swimwear for women, men and children. Lifestyle apparel by sportswear brands and some minor segments (e.g. ski suits, cycling jerseys, functional clothing) are not included. The world’s biggest sportswear manufacturers are Nike, Adidas, Under Armour and Puma.
in-scope
  • Track suits
  • Swimwear
  • Shorts
out-of-scope
  • Work clothes
  • Lifestyle apparel by sportswear brands
  • Minor special segments (functional clothing, cycling jerseys and similar products) that are subsumed under Other Clothes
Apparel Report 2018 - Sports and Swimwear

Apparel Report 2018 - Sports and Swimwear

Statista Consumer Market Outlook - Segment Report
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Revenue (2018)
+1.9% yoy
US$1,125m
Average Revenue per Capita (2018)
+0.7% yoy
US$45.45

Revenue Revenue Growth

in the Sports & Swimwear market in million US$ in percent

Reading Support Revenue in the Sports & Swimwear segment amounts to US$1,125m in 2018. Reading Support The Sports & Swimwear segment is expected to show a revenue growth of 1.8% in 2019.

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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 Sports & Swimwear market in US$

Reading Support The average revenue per person in the market for Sports & Swimwear amounts to US$45.45 in 2018.

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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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Sales Channels

in the Sports & Swimwear market in percent

Reading Support In the Apparel market, 15% of total revenue will be generated through online sales by 2021.

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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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Volume Volume Growth

in the Sports & Swimwear market in million pieces in percent

Reading Support In the market for Sports & Swimwear, volume is expected to amount to 71.87 m pcs. by 2021. Reading Support The market for Sports & Swimwear is expected to show a volume growth of 1.2% in 2019.

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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.

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

in the Sports & Swimwear market in pieces

Reading Support The average volume per person in the market for Sports & Swimwear amounts to 2.81 pieces in 2018.

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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 Sports & Swimwear market in US$

Reading Support The average price per unit in the market for Sports & Swimwear amounts to US$16.18 in 2018.

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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 Sports & Swimwear market in million US$

Reading Support With a market volume of US$12,881m in 2018, most revenue is generated in the 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.

201420152016201720182019202020212022 CAGR
(2014-2022)
Population in m
Number of individuals (all ages) living in the selected region. | Source: World Bank, Statista Analysis
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
0-15 years in m
Number of individuals (age 0-15) living in the selected region. | Source: World Bank, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
16-24 years in m
Number of individuals (age 16-24) living in the selected region. | Source: World Bank, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
25-34 years in m
Number of individuals (age 25-34) living in the selected region. | Source: World Bank, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
35-44 years in m
Number of individuals (age 35-44) living in the selected region. | Source: World Bank, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
45-54 years in m
Number of individuals (age 45-54) living in the selected region. | Source: World Bank, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
55+ years in m
Number of individuals (age 55 and older) living in the selected region. | Source: World Bank, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Business cycle
Click arrow to expand
Consumer confidence
The indicator shows as a result of surveys the difference between positive and negative answers of consumers regarding their economic situation and plans for major purchases in the form of an index that has the long term trend (=100) as its basis. | Source: OECD, Statista Analysis
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Business confidence
The indicator shows as a result of surveys the assessment of businesses regarding their current and future production, orders and stocks in the form of an index that has the long term trend (=100) as its basis. | Source: OECD, Statista Analysis
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Retail sales volume (2010=100)
The indicator shows the retail sales volume index in the selected region. The volume index is calculated by adjusting sales revenues for inflation during the review period. The price indexes used to deflate the time series can vary by country. | Source: OECD, Statista Analysis
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Unemployment rate in %
The indicator shows the share of unemployed people in the selected region, defined as persons without work that seek employment, as a percentage of the total labor force. The data is based on national estimates. The definitions of labor force and unemployment differ by country. | Source: World Bank, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Residential Construction (2010=100)
The indicator shows the development of the issuance of permits for the construction of new dwellings. It is shown as an index with the base year 2010. The index can be used as an indicator of general economic activity. For the U.S. the indicator shows the number of dwellings where construction work has actually started instead of permits for which not was available. | Source: OECD, Statista Analysis
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Domestic credit (% of GDP) in %
The indicator shows the share of all domestic credit of the total gross domestic product (GDP) in the region. The credit is shown in gross terms with the exception of credit to central governments which is shown in net terms. High levels of indebtedness can indicate the formation of a bubble that can cause an economic downturn. | Source: World Bank, Statista Analysis
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Consumer Spending / Capita in US$
Average consumer spending per capita of private households in the selected region | Source: Statista Analysis, based on UN, World Bank, IMF, Eurostat and national statistical offices
xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx
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. 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) that are valued at wholesale prices. | Source: Statista Analysis, based on UN, World Bank, IMF, Eurostat and national statistical offices
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
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. 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) that are valued at wholesale prices. | Source: Statista Analysis, based on UN, World Bank, IMF, Eurostat and national statistical offices
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
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. Included are both consumption of goods as well as services (cleaning and cobblers). | Source: Statista Analysis, based on UN, World Bank, IMF, Eurostat and national statistical offices
xxx xxx xxx xxx xxx xxx xxx xxx xxx
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 | Source: Statista Analysis, based on UN, World Bank, IMF, Eurostat and national statistical offices
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
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 | Source: Statista Analysis, based on UN, World Bank, IMF, Eurostat and national statistical offices
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
Health in US$
Consumer spending per capita for health (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region | Source: Statista Analysis, based on UN, World Bank, IMF, Eurostat and national statistical offices
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
Transport in US$
Consumer spending per capita for transport (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region. This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. | Source: Statista Analysis, based on UN, World Bank, IMF, Eurostat and national statistical offices
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
Communication in US$
Consumer spending per capita for communication (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region | Source: Statista Analysis, based on UN, World Bank, IMF, Eurostat and national statistical offices
xxx xxx xxx xxx xxx xxx xxx xxx xxx
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 | Source: Statista Analysis, based on UN, World Bank, IMF, Eurostat and national statistical offices
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
Education in US$
Consumer spending per capita for education (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region | Source: Statista Analysis, based on UN, World Bank, IMF, Eurostat and national statistical offices
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
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 | Source: Statista Analysis, based on UN, World Bank, IMF, Eurostat and national statistical offices
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
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. 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 Analysis, based on UN, World Bank, IMF, Eurostat and national statistical offices
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
Inflation in %
Year-over-year change of consumer prices in the selected region. The data reflects the forecast of the IMF for a weighted basket of goods and services. The weights of the components vary by country according to local consumption patterns. | Source: IMF
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Alcohol, tobacco in %
Year-over-year change of consumer prices for alcoholic beverages, tobacco and narcotics. Gaps filled with next higher COICOP position | Source: IMF and national statististical offices, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Clothing, footwear in %
Year-over-year change of consumer prices for clothing and footwear. Gaps filled with next higher COICOP position | Source: IMF and national statististical offices, Statista Analysis
-x.x -x.x -x.x -x.x x.x x.x x.x x.x x.x
Housing in %
Year-over-year change of consumer prices for housing, water, electricity, gas and other fuels. Gaps filled with next higher COICOP position | Source: IMF and national statististical offices, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Household in %
Year-over-year change of consumer prices for furnishings, household equipment and routine maintenance of the house. Gaps filled with next higher COICOP position | Source: IMF and national statististical offices, Statista Analysis
x.x x.x x.x -x.x x.x x.x x.x x.x x.x
Health in %
Year-over-year change of consumer prices for health. Gaps filled with next higher COICOP position | Source: IMF and national statististical offices, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Transport in %
Year-over-year change of consumer prices for transport (purchase of vehicles, maintenenace of vehicles and transport services). Gaps filled with next higher COICOP position | Source: IMF and national statististical offices
x.x -x.x -x.x x.x x.x x.x x.x x.x x.x
Communication in %
Year-over-year change of consumer prices for communication. Gaps filled with next higher COICOP position | Source: IMF and national statististical offices, Statista Analysis
-x.x -x.x -x.x -x.x x.x x.x x.x -x.x -x.x
Recreation, culture in %
Year-over-year change of consumer prices for recreation and culture. Gaps filled with next higher COICOP position | Source: IMF and national statististical offices
x.x -x.x x.x x.x x.x x.x x.x x.x x.x
Education in %
Year-over-year change of consumer prices for education. Gaps filled with next higher COICOP position | Source: IMF and national statististical offices, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Restaurants, hotels in %
Year-over-year change of consumer prices for restaurants and hotels. Gaps filled with next higher COICOP position | Source: IMF and national statististical offices, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Other in %
Year-over-year change of consumer prices 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: IMF and national statististical offices, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Price Level (U.S.=100)
Estimated price level index for all goods and services in the economy (level of GDP, U.S.=100). Data has been extrapolated from the latest iteration of the World Bank's International Comparison Program (2011) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2016. Numbers above 100 signal that prices are on average higher in this region than in the U.S., numbers below would mean prices in this region are on average lower than in the U.S.. | Source: Statista Analysis based on World Bank, IMF and national statistical offices
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Foodstuffs, beverages
Estimated price level index for food and non-alcoholic beverages (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2016. | Source: Statista Analysis based on World Bank, IMF and national statistical offices
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Alcohol, tobacco
Estimated price level index for alcoholic beverages, tobacco and narcotics (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2016. | Source: Statista Analysis based on World Bank, IMF and national statistical offices
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Clothing, footwear
Estimated price level index for clothing and footwear (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2016. | Source: Statista Analysis based on World Bank, IMF and national statistical offices
xxx.x xxx.x xxx.x xxx.x xxx.x xx.x xx.x xx.x xx.x
Housing
Estimated price level index for housing, water, electricity, gas and other fuels (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2016. | Source: Statista Analysis based on World Bank, IMF and national statistical offices
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Household
Estimated price level index for furnishings, household equipment and routine maintenance of the house (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2016. | Source: Statista Analysis based on World Bank, IMF and national statistical offices
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Health
Estimated price level index for health (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2016. | Source: Statista Analysis based on World Bank, IMF and national statistical offices
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Transport
Estimated price level index for transport (U.S.=100). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2016. | Source: Statista Analysis based on World Bank, IMF and national statistical offices
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Communication
Estimated price level index for communication (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2016. | Source: Statista Analysis based on World Bank, IMF and national statistical offices
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Recreation, culture
Estimated price level index for recreation and culture (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2016. | Source: Statista Analysis based on World Bank, IMF and national statistical offices
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Education
Estimated price level index for education (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2016. | Source: Statista Analysis based on World Bank, IMF and national statistical offices
xx.x xx.x xx.x xx.x xx.x xx.x xxx.x xxx.x xxx.x
Restaurants, hotels
Estimated price level index for restaurants and hotels (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2016. | Source: Statista Analysis based on World Bank, IMF and national statistical offices
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Other
Estimated price level index for other goods and services (U.S.=100). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2016. | Source: Statista Analysis based on World Bank, IMF and national statistical offices
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Price of a Big Mac in US$
The price of a Big Mac at McDonald's has been introduced by the Economist in 1986 as an illustrative example to compare price levels between countries. The prices have been converted from Local Currency Units (LCU) using the average exchange rate of 2016. | Source: Economist, Statista Analysis
x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx
Tax rates
Click arrow to expand
Sales tax rate in %
Displayed is the standard rate. Due to local sales taxes, the overall tax rate may vary within the country. Likewise, for some product groups and services different rates might apply. | Source: Statista Research
xx xx xx xx xx xx xx xx xx
Corporate tax rate in %
Displayed is the typical rate for corporate income. Due to local taxes, the overall tax rate may vary within the country. | Source: KPMG, Statista Research
xx xx xx xx xx xx xx xx xx
Personal income tax rate in %
Displayed is the top marginal tax rate. Due to local taxes, the overall tax rate may vary within the country. | Source: KPMG, Statista Research
xx xx xx xx xx xx xx xx xx
Tourism
Click arrow to expand
Tourism (% of GDP) in %
Tourism industry's contribution as % of total GDP. | Source: OECD, Statista Analysis
x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx
Tourism expenditure / Capita in US$
International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. | Source: World Bank, Statista Analysis
x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x
Tourism outbound trips in m
Number of departing trips abroad with tourism focus. | Source: World Bank, Statista Analysis
x.x x.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Tourism inbound trips in m
Number of arriving trips abroad with tourism focus. | Source: World Bank, Statista Analysis
x.x x.x x.x x.x x.x xx.x xx.x xx.x xx.x
International trade
Click arrow to expand
Trade (% of GDP) in %
Sum of exports and imports of goods and services in relation to total gross domestic product (GDP) | Source: World Bank, OECD, Statista Analysis
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Current account balance (% of GDP) in %
The Current account balance is the sum of net exports of goods and services, net primary income, and net secondary income. Here it is shown as a percentage of total gross domestic product (GDP). | Source: World Bank, IMF, OECD, Statista Analysis
-x.x -x.x -x.x -x.x -x.x -x.x -x.x -x.x -x.x
Terms of trade
Net barter terms of trade are calculated as the percentage ratio of the export unit value to the import unit value, measured relative to the base year 2000. This index measures how many goods and services a country had to export to finance its imports. An increase would mean that the country benefited from improved terms of trade that allow it to purchase more import goods for the same amount of exports. Likewise, a decline would indicate a deterioration of terms of trade that would put pressure on the country to export more goods to sustain the level of imports. Terms of trade are especially important for developing and emerging countries that are dependent on commodity exports whose value swings with the world market for these goods. | Source: UNCTAD, World Bank, Statista Analysis
xxx xxx xxx xxx xxx xxx xxx xxx xxx
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: UNCTAD, World Bank, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Tariff rate in %
Simple mean of applied tariff rates for all products in the selected region | Source: World Bank, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Documents to export in #
Number of documents that have to be filled out to comply with all procedures required in the selected region to export goods from it | Source: World Bank, Statista Analysis
x x x x x x x x x
Time to export in d
Time in calendar days that is necessary to comply with all procedures required in the selected region to export goods from it | Source: World Bank, Statista Analysis
x x x x x x x x x
Cost to export in US$
Average costs to export a container (20-foot equivalent) from the selected region. Included are costs for documents, administrative fees for customs clearance and technical control, customs broker fees and terminal handling charges and inland transport. Not included are tariffs or trade taxes nor illicit payments. | Source: World Bank, Statista Analysis
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
Documents to import in #
Number of documents that have to be filled out to comply with all procedures required in the selected region to import goods into it | Source: World Bank, Statista Analysis
x x x x x x x x x
Time to import in d
Time in calendar days that is necessary to comply with all procedures required in the selected region to import goods to it | Source: World Bank, Statista Analysis
x x x x x x x x x
Cost to import in US$
Average costs to import a container (20-foot equivalent) into the selected region. Included are costs for documents, administrative fees for customs clearance and technical control, customs broker fees and terminal handling charges and inland transport. Not included are tariffs or trade taxes nor illicit payments. | Source: World Bank, Statista Analysis
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
Finance
Click arrow to expand
Credit Card Penetration in %
Percentage of individuals (total population over 16 years) who own at least one credit card. | Source: World Bank, Statista Analysis
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Debit Card Penetration in %
Percentage of individuals (total population over 16 years) who own at least one debit card. | Source: World Bank, Statista Analysis
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
POS Terminals in k
Total number of point-of sale terminals located in the selected region | Source: Bank for International Settlements, Statista Analysis
xxx.x xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x x,xxx.x
Online Banking Penetration in %
Percentage of individuals (total population over 16 years) using online-banking services at least once a year (e.g. bank transfers, account information). | Source: Eurostat, Statista Analysis
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Payment Transactions at Terminals in bn
Number of non-cash transactions at point-of-sale terminals (EFTPOS) located in the selected region | Source: Bank for International Settlements, Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x xx.x
Households in m
Total number of households in the selected region. | Source: Statista Analysis
x.x x.x x.x x.x x.x x.x x.x x.x xx.x
GDP / Capita in US$
Gross domestic product of the selected region in relation to the total population. | Source: IMF
xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx
Source: Statista, August 2018
Source: Statista, August 2018, based on IMF, World Bank, UN and Eurostat
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