Hot Drinks

India

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

Highlights
Market definition
in-scope / out-of-scope
Reports special
  • Revenue in the Hot Drinks market amounts to US$17,145m in 2019. The market is expected to grow annually by 6.4% (CAGR 2019-2023).
  • The market's largest segment is the segment Tea with a market volume of US$16,066m in 2019.
  • In global comparison, most revenue is generated in United States (US$97,157m in 2019).
  • In relation to total population figures, per person revenues of US$12.53 are generated in 2019.
Show more
The Hot Drinks market includes the segments Coffee, Tea and Cocoa. The Coffee segment is further broken down into Roast Coffee and Instant Coffee. Roast Coffee includes roasted, “fresh” coffee in the form of beans, ground powder, pads or pods, while Instant Coffee denotes coffee that that has been processed by freeze-drying or spray drying to prolong shelf life and generate powder mixes from which coffee beverages can be obtained without further equipment just by adding water. Tea includes fresh leaves, bags, pads or pods of the tea plant Camellia Sinensis and Yerba mate but excludes herbal infusions (mint, rooibos etc.). Cocoa includes ready-made powder-mixes from which cocoa drinks or hot chocolate can be prepared by adding water, milk or similar liquids. Ready-to-Drink beverages based on coffee, tea or cocoa are not included here but aggregated into the Non-Carbonated Soft Drinks segment of the Consumer Market Outlook’s Non-Alcoholic Drinks section.

In retail, the biggest player in the Hot Drinks Coffee segment is Nestlé whose Nespresso and Nescafé brands are globally recognized household names. Other important players are Jacobs Douwe Egberts (JDE), Keurig Dr Pepper, Tchibo, J.M. Smucker and Lavazza. Out of home, Starbucks, Tim Hortons, Panera Bread, Costa Coffee, Peet’s Coffee, Dunkin’ Donuts and Caribou Coffee are the most important players. An important company in the background of both at-home and out-of-home coffee is the Luxembourg-based JAB Holding which has built a sizable portfolio in retail and coffee shop brands and owns at least partially both Jacobs Douwe Egberts and Keurig Dr Pepper as well as Panera Bread, Peet’s Coffee and Caribou Coffee among others. In the Tea segment, Unilever (Lipton), Associated British Foods (Twinings) and Tata Global Beverages (Tetley) are the biggest players by revenue while Nestlé is the most important player in the Cocoa realm.

The market for Hot Drinks is structured into retail sales for at home consumption and on-premise or foodservice sales for out-of-home consumption. The at-home market, also called off-trade market, covers all retail sales via super- and hypermarkets, convenience stores or similar sales channels. The out-of-home market, also called on-trade market, away-from-home market or HORECA encompasses all sales to hotels, restaurants, catering, cafés, bars and similar hospitality service establishments. Both the at-home and the out-of-home market are valued at retail selling prices including all sales and consumption taxes. The price per unit in the out-of-home market always references the total price over the kg amount of coffee, tea or cocoa consumed, regardless of the other components of the finished beverage. The valuation of the out-of-home segment at retail prices means a significant change of the market definition in comparison to earlier iterations of the Consumer Market Outlook, as out-of-home consumption was valued at wholesale prices before. This means, market totals are not comparable to published data from prior years. The price per unit always references liters as a base unit for both at-home and out-of-home consumption. One liter of beverage represents typical serving sizes of 2 to 5 glasses (0.2 to 0.5 liters).

The shown market share of eCommerce currently references the share of eCommerce sales of all food and beverages in the selected region in relation to total (off-trade) consumer spending on food and beverages that are also part of the Key Market Indicators table below. It therefore presents an indicator regarding the overall online penetration of eCommerce’s last frontier, food and drink, but cannot be used to track the performance of the Alcoholic Drinks as opposed to Non-Alcoholic Drinks, Food, Hot Drinks or Tobacco Products.

The presented data is the result of extensive research from secondary sources like national and international statistical offices, trade associations and the trade press. Typical sources are for example household budget surveys or statistics on industrial production and international trade. All data has been processed and forecasted using statistical techniques like regression and cluster analyses to obtain comparable data for a global outlook of the market. Since all market data in the Consumer Market Outlook are usually composed of multiple input data points, including estimations for missing data, no specific external source can be named for individual timelines. The range of the historical input data varies greatly by country and product but in most cases currently runs up until 2017 or 2018.

All market data is shown in nominal values that have been converted from local currencies to US-Dollars, Euro and British Pound using the average exchange rates of 2017. The currency can be switched between US-Dollars, Euro and British Pound by using the context menu to the upper right next to the download button. Depending on the user’s needs, the Key Market Indicators table at the bottom of the page contains additional forecasts on consumer prices and the exchange rate with which it is possible to obtain a valuation in local currency, to include projected currency effects in the forecast or to adjust the nominal market data to constant prices.
in-scope
  • Roast Coffee
  • Instant Coffee
  • Tea
  • Cocoa
out-of-scope
  • RTDs derived from Coffee, Tea or Cocoa (e.g. Ice Tea)
Hot Drinks Report - 2019

Hot Drinks Report - 2019

Statista Consumer Market Outlook - Market Report
Download
Revenue (2019)
+7.0% yoy
US$17,145m
Average Revenue per Capita (2019)
+5.9% yoy
US$12.53

Revenue Revenue Growth

in the Hot Drinks market in million US$ in percent

Reading Support Revenue in the Hot Drinks market amounts to US$17,145m in 2019. Reading Support The Hot Drinks market is expected to show a revenue growth of 6.8% in 2020.

PNG Download
  • Revenue
  • Revenue Growth
Info

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 Hot Drinks market in US$

Reading Support The average revenue per person in the market for Hot Drinks amounts to US$12.53 in 2019.

PNG Download
Info

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 Hot Drinks market in percent

Reading Support 0.2% of total consumer spending on food, drink and tobacco products will be attributable to online retail by 2023.

PNG Download
Info

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.
×

Volume Volume Growth

in the Hot Drinks market in million kilograms in percent

Reading Support In the market for Hot Drinks, volume is expected to amount to 1,273.1 mkg by 2023. Reading Support The market for Hot Drinks is expected to show a volume growth of 2.1% in 2020.

PNG Download
  • Volume
  • Volume Growth
Info

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.
×

Average Volume per Capita

in the Hot Drinks market in kilograms

Reading Support The average volume per person in the market for Hot Drinks amounts to 0.9 kg in 2019.

PNG Download
Info

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.
×

Price per Unit

in the Hot Drinks market in US$

Reading Support The average price per unit in the market for Hot Drinks amounts to US$14.63 in 2019.

PNG Download
Info

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.
×

Global Comparison - Revenue

in the Hot Drinks market in million US$

Reading Support With a market volume of US$97,157m in 2019, most revenue is generated in United States.

PNG Download
Info

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.
×
XLS Download

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: UN
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
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: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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: UN
xx.x xx.x xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x
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: 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 Nations' 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 Nations' 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 Nations' 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 Nations' 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 Nations' 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 Nations' 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 Nations' 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 Nations' 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 individuals (age 85-89) living in the selected region, the data reflect the United Nations' 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 individuals (age 90-9) living in the selected region, the data reflect the United Nations' 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 Nations' 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 Nations' 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
Business cycle
Click arrow to expand
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
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.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
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Consumer spending (current) in €
Average consumer spending per capita of private households in the selected region (in current prices, constant exchange rate) | Source: Statista
xxx xxx xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
Foodstuffs, beverages in €
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
xxx xxx xxx xxx xxx xxx xxx xxx xxx
Alcohol, tobacco in €
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
xx xx xx xx xx xx xx xx xx
Clothing, footwear in €
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
xx xx xx xx xx xx xxx xxx xxx
Housing in €
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
xxx xxx xxx xxx xxx xxx xxx xxx xxx
Household in €
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
xx xx xx xx xx xx xx xx xx
Health in €
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
xx xx xx xx xx xx xx xx xx
Transport in €
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
xxx xxx xxx xxx xxx xxx xxx xxx xxx
Communication in €
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
xx xx xx xx xx xx xx xx xx
Recreation, culture in €
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 x x x x x x x x
Education in €
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
xx xx xx xx xx xx xx xx xx
Restaurants, hotels in €
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
xx xx xx xx xx xx xx xx xx
Other in €
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
xxx xxx xxx xxx xxx xxx xxx xxx 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 xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Communication
Consumer price index for communication. 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
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 xx.x xx.x xx.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
x.x x.x x.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
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.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 €
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
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
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
Health
Click arrow to expand
Health care expenditure (% of GDP) in %
GDP share of total health care spendings (public and private) 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
Physicians per 1,000 capita
Number of physicians per 1000 inhabitants in the selected region. | Source: World Bank, Statista
x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx x.xx
Hospital beds per 1,000 capita
Number of hospital beds per 1000 inhabitants in the selected region | Source: World Bank, World Health Organization, Statista
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Access to sanitation facilities in %
Population share with access to improved sanitation facilities (flush/pour systems, ventilated improved pit (VIP) latrines, pit latrines with slab or composting toilets) in the selected region | Source: World Bank, Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Overweight rate in %
Overweight rate among adult population (with a BMI of 25 or higher) | Source: WHO, Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Alcohol consumption in l alc.
Per-capita consumption of alcohol (all types) in litres of pure alcohol in the selected region | Source: World Health Organization, Statista
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Male smoking rate in %
Share of men in the selected region (15+ years) who smoke at least occasionally | Source: World Bank, World Health Organization, Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Female smoking rate in %
Share of women in the selected region (15+ years) who smoke at least occasionally | Source: World Bank, World Health Organization, Statista
x.x x.x x.x x.x x.x x.x x.x x.x x.x
Life expectancy in yrs.
Number of years a newborn in the selected region can expect to live if prevailing patterns of mortality were to stay the same throughout its life. | Source: World Bank, Statista
xx.x xx.x xx.x xx.x xx.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
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
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
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
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.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 €
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 €
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
Food exports / merchandise exports in %
Percentage share of all food exports (sections 0, 1, 4 and 22 in the Standard International Trade Classification - SITC) of all merchandise exports in the selected region | Source: World Bank, UN Comtrade, Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Food imports / merchandise exports in %
Percentage share of all food imports (sections 0, 1, 4 and 22 in the Standard International Trade Classification - SITC) of all merchandise imports in the selected region | Source: World Bank, UN Comtrade, Statista
x.x x.x x.x x.x x.x x.x x.x x.x x.x
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
x.x x.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
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
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
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
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
x.x x.x x.x x.x x.x x.x x.x x.x x.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 €
Gross domestic product (in current prices, constant exchange rate) of the selected region per capita | Source: IMF
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx
Exchange rate (1 LCU in USD)
The average exchange rate of 1 unit of local currency (local currency unit: LCU) in the respective year for US-Dollar | Source: IMF
x.xxx x.xxx x.xxx x.xxx x.xxx x.xxx x.xxx x.xxx x.xxx
Source: Statista, May 2019
Source: Statista, May 2019, based on IMF, World Bank, UN and Eurostat