Market directory
Market Accessories
Region Europe

Accessories

Europe

Highlights
Market definition
in-scope / out-of-scope
Reports
  • Revenue in the Accessories market amounts to US$72,339m in 2019. The market is expected to grow annually by 0.6% (CAGR 2019-2023).
  • In global comparison, most revenue is generated in China (US$118,190m in 2019).
  • In relation to total population figures, per person revenues of US$107.20 are generated in 2019.
Watches & JewelryLuggage & Bags
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The Accessories market comprises wearable, fashionable accessories that complement a person's outfit such as Watches, Jewelry, Suitcases, Bags, Wallets, Handbags and other containers for private end consumers. Like the Apparel market, the Accessories market relies heavily on imports. Some significant production still exists in Italy, France, and Spain. This market includes both fashion jewelry and high jewelry of precious materials such as gold, silver, or titanium. Therefore, both non-branded items and brands such as Rolex, Cartier, and Louis Vuitton are covered. As a consequence, the differences in price levels are considerable. There are also disparities with regard to distribution, as accessories can be bought from exclusive, expensive luxury boutiques, brick-and-mortar multi-label businesses (department stores), vertically-integrated clothing companies (H&M, Primark) as well as e-commerce or mail order companies. The Accessories market does not include watch parts or watchbands, non-wearable items or protective bags and cases for electronic devices such as notebooks or cameras.
in-scope
  • Watches and Jewelry
  • Luggage and Bags
  • Small leather goods
  • Handbags
out-of-scope
  • Sunglasses
  • Phone or tablet covers
  • Gloves, scarfs, hats, and umbrellas
  • Bracelets and belts
  • Hair accessories
Revenue (2019)
+0.9% yoy
US$72,339m
Average Revenue per Capita (2019)
+0.8% yoy
US$107.20
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Revenue Average Revenue per Capita Sales Channels Global Comparison Key Market Indicators

Revenue Revenue Growth

in the Accessories market in million US$ in percent

Reading Support Revenue in the Accessories market amounts to US$72,339m in 2019. Reading Support The Accessories market is expected to show a revenue growth of 0.8% 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.×

Average Revenue per Capita

in the Accessories market in US$

Reading Support The average revenue per person in the market for Accessories amounts to US$107.20 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.×

Sales Channels

in the Accessories market in percent

Reading Support In the Accessories market, 28% 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.×

Global Comparison - Revenue

in the Accessories market in million US$

Reading Support With a market volume of US$118,190m in 2019, most revenue is generated in China.

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Top 5
China
United States
India
Russia
Brazil
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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 Nation's medium variant of World Population Prospects | Source: UN		 xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
0-4 years in m
Number of individuals (age 0-4) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
5-9 years in m
Number of individuals (age 5-9) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
10-14 years in m
Number of individuals (age 10-14) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
15-19 years in m
Number of individuals (age 15-19) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
20-24 years in m
Number of individuals (age 20-24) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
25-29 years in m
Number of individuals (age 25-29) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
30-34 years in m
Number of individuals (age 30-34) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
35-39 years in m
Number of individuals (age 35-39) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
40-44 years in m
Number of individuals (age 40-44) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
45-49 years in m
Number of individuals (age 45-49) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
50-54 years in m
Number of individuals (age 50-54) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
55-59 years in m
Number of individuals (age 55-59) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
60-64 years in m
Number of individuals (age 60-64) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
65-69 years in m
Number of individuals (age 65-69) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
70-74 years in m
Number of individuals (age 70-74) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
75-79 years in m
Number of individuals (age 75-79) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
80-84 years in m
Number of individuals (age 80-84) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
85-89 years in m
Number of individuals (age 85-89) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
90-94 years in m
Number of individuals (age 90-9) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 x.x x.x x.x x.x x.x x.x x.x x.x x.x
95-99 years in m
Number of individuals (age 95-99) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 x.x x.x x.x x.x x.x x.x x.x x.x x.x
100+ years in m
Number of individuals (age 100+) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 x.x x.x x.x x.x x.x x.x x.x x.x x.x
Female population in m
Number of female individuals (all ages) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects. | Source: UN		 xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
0-4 years in m
Number of female individuals (age 0-4) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
5-9 years in m
Number of female individuals (age 5-9) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
10-14 years in m
Number of female individuals (age 10-14) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
15-19 years in m
Number of female individuals (age 15-19) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
20-24 years in m
Number of female individuals (age 20-24) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
25-29 years in m
Number of female individuals (age 25-29) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
30-34 years in m
Number of female individuals (age 30-34) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
35-39 years in m
Number of female individuals (age 35-39) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
40-44 years in m
Number of female individuals (age 40-44) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
45-49 years in m
Number of female individuals (age 45-49) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
50-54 years in m
Number of female individuals (age 50-54) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
55-59 years in m
Number of female individuals (age 55-59) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
60-64 years in m
Number of female individuals (age 60-64) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
65-69 years in m
Number of female individuals (age 65-69) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
70-74 years in m
Number of female individuals (age 70-74) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
75-79 years in m
Number of female individuals (age 75-79) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
80-84 years in m
Number of female individuals (age 80-84) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
85-89 years in m
Number of female individuals (age 85-89) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 x.x x.x x.x x.x x.x x.x x.x x.x x.x
90-94 years in m
Number of female individuals (age 90-9) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 x.x x.x x.x x.x x.x x.x x.x x.x x.x
95-99 years in m
Number of female individuals (age 95-99) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 x.x x.x x.x x.x x.x x.x x.x x.x x.x
100+ years in m
Number of female individuals (age 100+) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 x.x x.x x.x x.x x.x x.x x.x x.x x.x
Male population in m
Number of male individuals (all ages) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
0-4 years in m
Number of male individuals (age 0-4) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
5-9 years in m
Number of male individuals (age 5-9) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
10-14 years in m
Number of male individuals (age 10-14) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
15-19 years in m
Number of male individuals (age 15-19) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
20-24 years in m
Number of male individuals (age 20-24) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
25-29 years in m
Number of male individuals (age 25-29) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
30-34 years in m
Number of male individuals (age 30-34) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
35-39 years in m
Number of male individuals (age 35-39) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
40-44 years in m
Number of male individuals (age 40-44) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
45-49 years in m
Number of male individuals (age 45-49) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
50-54 years in m
Number of male individuals (age 50-54) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
55-59 years in m
Number of male individuals (age 55-59) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
60-64 years in m
Number of male individuals (age 60-64) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
65-69 years in m
Number of male individuals (age 65-69) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
70-74 years in m
Number of male individuals (age 70-74) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
75-79 years in m
Number of male individuals (age 75-79) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 xx.x xx.x x.x x.x x.x x.x xx.x xx.x xx.x
80-84 years in m
Number of male individuals (age 80-84) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 x.x x.x x.x x.x x.x x.x x.x x.x x.x
85-89 years in m
Number of male individuals (age 85-89) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 x.x x.x x.x x.x x.x x.x x.x x.x x.x
90-94 years in m
Number of male individuals (age 90-9) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 x.x x.x x.x x.x x.x x.x x.x x.x x.x
95-99 years in m
Number of male individuals (age 95-99) living in the selected region, the data reflect the United Nation's medium variant of World Population Prospects | Source: UN		 x.x x.x x.x x.x x.x x.x x.x x.x x.x
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		 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 (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) that are valued at wholesale prices. | Source: Statista		 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 (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) that are valued at wholesale prices. | Source: Statista		 xxx xxx xxx xxx xxx xxx xxx xxx 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 (in current prices, constant exchange rate). Included are both consumption of goods as well as services (cleaning and cobblers). | Source: Statista		 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 (in current prices, constant exchange rate) | Source: Statista		 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 (in current prices, constant exchange rate) | Source: Statista		 xxx xxx xxx xxx xxx xxx 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 (in current prices, constant exchange rate) | Source: Statista		 xxx xxx xxx xxx xxx xxx xxx xxx xxx
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		 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 (in current prices, constant exchange rate) | Source: Statista		 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 (in current prices, constant exchange rate) | Source: Statista		 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 (in current prices, constant exchange rate) | Source: Statista		 xxx xxx xxx xxx xxx xxx xxx xxx 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 (in current prices, constant exchange rate) | Source: Statista		 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 (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		 x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
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: IMF, Statista		 xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Foodstuffs, beverages
Consumer price index for food and non-alcoholic beverages. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista		 xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Alcohol, tobacco
Consumer price index for alcoholic beverages, tobacco and narcotics. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista		 xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Clothing, footwear
Consumer price index for clothing and footwear. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista		 xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Housing
Consumer price index for housing, water, electricity, gas and other fuels. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista		 xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Household
Consumer price index for furnishings, household equipment and routine maintenance of the house. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista		 xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Health
Consumer price index for health. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista		 xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Transport
Consumer price index for transport (purchase of vehicles, maintenenace of vehicles and transport services). Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista		 xx.x xx.x xxx.x xx.x xx.x xx.x xx.x xx.x xx.x
Communication
Consumer price index for communication. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista		 xxx.x xxx.x xxx.x xx.x xx.x xx.x xx.x xx.x xx.x
Recreation, culture
Consumer price index for recreation and culture. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista		 xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Education
Consumer price index for education. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista		 xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Restaurants, hotels
Consumer price index for restaurants and hotels. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista		 xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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: IMF, national statististical offices, Statista		 xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Price level (U.S.=100)
Estimated price level index for all goods and services for individual private consumption (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 2017. 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		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.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 a constant exchange rate. | Source: Statista		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.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 a constant exchange rate. | Source: Statista		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.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 a constant exchange rate. | Source: Statista		 xx.x xx.x xx.x xx.x xx.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 a constant exchange rate. | Source: Statista		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.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 a constant exchange rate. | Source: Statista		 xx.x xx.x xx.x xx.x xx.x xx.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 a constant exchange rate. | Source: Statista		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.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 a constant exchange rate. | Source: Statista		 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 a constant exchange rate. | Source: Statista		 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 a constant exchange rate. | Source: Statista		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.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 a constant exchange rate. | Source: Statista		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.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 a constant exchange rate. | Source: Statista		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.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 a constant exchange rate. | Source: Statista		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.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 2017. | Source: Economist, Statista		 x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx
Tax rates
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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		 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		 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		 xx xx xx xx xx xx xx xx xx
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: World Bank, Statista		 xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
International tourist arrivals in m
Number of visitors from abroad arriving in the selected region for touristic purposes | Source: World Bank, Statista		 xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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 but for currency effects. | Source: World Bank, Statista		 xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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: World Bank, OECD, Statista		 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		 x.x x.x x.x x.x x.x x.x x.x x.x x.x
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		 xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Tariff rate in %
Simple mean of applied tariff rates for all products in the selected region | Source: World Bank, Statista		 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		 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		 xx xx xx xx xx xx xx xx xx
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		 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		 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		 xx xx xx xx xx xx xx xx xx
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		 x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
Finance
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Credit card penetration in %
Percentage of individuals (total population over 16 years) who own at least one credit card. | Source: World Bank, Statista		 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		 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		 xx,xxx.x xx,xxx.x xx,xxx.x xx,xxx.x xx,xxx.x xx,xxx.x xx,xxx.x xx,xxx.x xx,xxx.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		 xx,xxx.x xx,xxx.x xx,xxx.x xx,xxx.x xxx,xxx.x xxx,xxx.x xxx,xxx.x xxx,xxx.x xxx,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		 xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Households in m
Total number of households in the selected region. | Source: Statista		 xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
GDP (current) in US$
Gross domestic product (in current prices, constant exchange rate) of the selected region per capita | Source: IMF		 xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx xx,xxx
Source: Statista, December 2018
Source: Statista, December 2018, based on IMF, World Bank, UN and Eurostat

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