Carbonated Soft Drinks

Brazil

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

Highlights
Market definition
in-scope / out-of-scope
Reports
  • Revenue in the Carbonated Soft Drinks segment amounts to US$15,891m in 2019. The market is expected to grow annually by 1.9% (CAGR 2019-2023).
  • In global comparison, most revenue is generated in the United States (US$164,340m in 2019).
  • In relation to total population figures, per person revenues of US$75.29 are generated in 2019.
  • The average per capita consumption stands at 58.6 L in 2019.
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Carbonated Soft Drinks here denote all artificially sweetened and carbonated Non-Alcoholic Drinks. This encompasses cola beverages, tonic waters, lemonades as well as energy and sports drinks. The added carbon dioxide gas provides the sparkling taste of these beverages and also prevents spoilage. While the category is still emerging in the rapidly developing markets of the Asia-Pacific region, it has already surpassed its apex in the mature markets of the West. In the home country of Coca-Cola, soda sales, while still the highest in the world, have declined for more than ten years in a row now. The main challenge for the industry in the coming years will be to react to consumers‘ growing sophistication and stricter regulation as more and more states and municipal governments are imposing soda or sugar taxes to curb consumption. The focus on the development of new artifical sweeteners like Stevia are testament to this development. A possible alternative course of action would be a shift to beverage categories that rely less on sugar for flavouring like ready-to-drink (RTD) tea and coffee beverages. Contrary to the category trend, the segment of sport and energy drinks has enjoyed spectacular growth in recent years as the success of Austria’s Red Bull and the US’s Monster can attest. The success of these functional beverages shows that growth is possible for carbonates if brands can move beyond mere refreshment and provide additional use for consumers.

The market for Non-Alcoholic 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 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.
in-scope
  • Cola beverages
  • Lemonades
  • Energy and Sports Drinks
  • Tonic Water
out-of-scope
  • Non-Carbonated Soft Drinks (Fruit Nectar, RTD Tea etc.)
Revenue (2019)
-1.2% yoy
US$15,891m
Average Revenue per Capita (2019)
-2.0% yoy
US$75.29

Revenue Revenue Growth

in the Carbonated Soft Drinks market in million US$ in percent

Reading Support Revenue in the Carbonated Soft Drinks segment amounts to US$15,891m in 2019. Reading Support The Carbonated Soft Drinks segment is expected to show a revenue growth of 1.0% in 2020.

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  • Revenue
  • Revenue Growth
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Revenue:

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


Revenue Growth:

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

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

in the Carbonated Soft Drinks market in US$

Reading Support The average revenue per person in the Carbonated Soft Drinks segment amounts to US$75.29 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.

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Volume Volume Growth

in the Carbonated Soft Drinks market in million litres in percent

Reading Support In the Carbonated Soft Drinks segment, volume is expected to amount to 10,841.3 ML by 2023. Reading Support The Carbonated Soft Drinks segment is expected to show a volume growth of -4% in 2020.

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  • Volume
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Volume:

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

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Average Volume per Capita

in the Carbonated Soft Drinks market in litres

Reading Support The average volume per person in the Carbonated Soft Drinks segment amounts to 58.6 L in 2019.

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Average Volume per Capita:

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

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Price per Unit

in the Carbonated Soft Drinks market in US$

Reading Support The average price per unit in the Carbonated Soft Drinks segment amounts to US$1.28 in 2019.

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Price per Unit:

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

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Global Comparison - Revenue

in the Carbonated Soft Drinks market in million US$

Reading Support With a market volume of US$164,340m in 2019, 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.

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Key Market Indicators

The following Key Market Indicators give an overview of the social and economic outlook of the selected region and provide additional insights into relevant market-specific developments. These indicators, together with data from statistical offices, trade associations and companies serve as the foundation for the Statista market models.

201520162017201820192020202120222023 CAGR
(2015-2023)
Population in m
Number of individuals (all ages) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
0-4 years in m
Number of individuals (age 0-4) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
5-9 years in m
Number of individuals (age 5-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
10-14 years in m
Number of individuals (age 10-14) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
15-19 years in m
Number of individuals (age 15-19) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
20-24 years in m
Number of individuals (age 20-24) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
25-29 years in m
Number of individuals (age 25-29) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
30-34 years in m
Number of individuals (age 30-34) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
35-39 years in m
Number of individuals (age 35-39) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
40-44 years in m
Number of individuals (age 40-44) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
45-49 years in m
Number of individuals (age 45-49) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
50-54 years in m
Number of individuals (age 50-54) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
55-59 years in m
Number of individuals (age 55-59) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
60-64 years in m
Number of individuals (age 60-64) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
65-69 years in m
Number of individuals (age 65-69) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
70-74 years in m
Number of individuals (age 70-74) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
75-79 years in m
Number of individuals (age 75-79) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
80-84 years in m
Number of individuals (age 80-84) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
85-89 years in m
Number of individuals (age 85-89) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
90-94 years in m
Number of individuals (age 90-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
95-99 years in m
Number of individuals (age 95-99) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
100+ years in m
Number of individuals (age 100+) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: Statista, based on UN DESA and national statistical offices
Business cycle
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GDP deflator
The GDP deflator is derived by dividing current price GDP by constant price GDP and is considered to be an alternate measure of inflation. Data are expressed in the base year of each country's national accounts. | Source: Statista, based on IMF
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: Statista, based on OECD
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: Statista, based on OECD
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: Statista, based on IMF WEOD
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: Statista, based on World Bank
Government gross debt (% of GDP) in %
Goverment gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. | Source: Statista, based on IMF WEOD
Household income
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Income share of top 20% in %
Share of income that accrues to the income group of the highest 20% | Source: Statista, based on World Bank
Income share of second 20% in %
Share of income that accrues to the income group of the second 20% | Source: Statista, based on World Bank
Income share of third 20% in %
Share of income that accrues to the income group of the third 20% | Source: Statista, based on World Bank
Income share of fourth 20% in %
Share of income that accrues to the income group of the fourth 20% | Source: Statista, based on World Bank
Income share of lowest 20% in %
Share of income that accrues to the income group of the lowest 20% | Source: Statista, based on World Bank
Gini index
The Gini index measures the income distribution among individuals or households within an economy on a scale from 0 to 100. "0" would mean a perfectly equal distribution (everyone has the same income) while "100" would mean perfect inequality (one person gets all income). | Source: Statista, based on World Bank
Consumer spending (current) in US$
Average consumer spending per capita of private households in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Foodstuffs, beverages in US$
Consumer spending per capita for food and non-alcoholic beverages (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. In contrast, the Food market in the Consumer Market Outlook covers only certain segments of processed food and excludes for example fresh food, oils and fats and some other items. The markets for Alcoholic, Non-Alcoholic and Hot Drinks in turn not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Alcohol, tobacco in US$
Consumer spending per capita for alcoholic beverages, tobacco and narcotics (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. The market for Alcoholic, Non-Alcoholic and Hot Drinks not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Clothing, footwear in US$
Consumer spending per capita for clothing and footwear (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). Included are both consumption of goods as well as services (cleaning and cobblers). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Housing in US$
Consumer spending per capita for housing, water, electricity, gas and other fuels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Household in US$
Consumer spending per capita for furnishings, household equipment and routine maintenance of the house (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Health in US$
Consumer spending per capita for health (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Transport in US$
Consumer spending per capita for transport (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Communication in US$
Consumer spending per capita for communication (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Recreation, culture in US$
Consumer spending per capita for recreation and culture (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Education in US$
Consumer spending per capita for education (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Restaurants, hotels in US$
Consumer spending per capita for restaurants and hotels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Other in US$
Consumer spending per capita for miscellaneous goods and services (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices
Consumer price index (CPI)
Consumer price index (CPI) for a weighted basket of goods and services. The weights of the components vary by country according to local consumption patterns. The base year (100) has been set to 2017 for all countries, the base year of the input data may vary. | Source: Statista, based on IMF WEOD
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 last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. Numbers above 100 signal that prices are on average higher in this region than in the U.S., numbers below would mean prices in this region are on average lower than in the U.S.. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Foodstuffs, beverages
Estimated price level index for food and non-alcoholic beverages (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
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 (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Clothing, footwear
Estimated price level index for clothing and footwear (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
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 (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Household
Estimated price level index for furnishings, household equipment and routine maintenance of the house (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
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 (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Transport
Estimated price level index for transport (U.S.=100). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
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 (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Recreation, culture
Estimated price level index for recreation and culture (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
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 (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Restaurants, hotels
Estimated price level index for restaurants and hotels (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
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 (GDP deflator). The indicator is valued at the current exchange rate of the respective year versus the US$. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista, based on World Bank, IMF, Eurostat and national statistical offices
Price of a Big Mac in US$
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: Statista, based on Economist
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
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: Statista, based on KPMG
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: Statista, based on KPMG
Health
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Health care expenditure (% of GDP) in %
GDP share of total health care spendings (public and private) in the selected region | Source: Statista, based on World Bank, WHO
Physicians per 1,000 capita
Number of physicians per 1,000 inhabitants in the selected region | Source: Statista, based on World Bank
Hospital beds per 1,000 capita
Number of hospital beds per 1000 inhabitants in the selected region | Source: Statista, based on World Bank, WHO
Overweight rate in %
Overweight rate among adult population (with a BMI of 25 or higher) | Source: Statista, based on WHO
Alcohol consumption in l alc.
Per-capita consumption of alcohol (all types) in litres of pure alcohol in the selected region | Source: Statista, based on WHO
Male smoking rate in %
Share of men in the selected region (15+ years) who smoke at least occasionally | Source: Statista, based on World Bank, WHO
Female smoking rate in %
Share of women in the selected region (15+ years) who smoke at least occasionally | Source: Statista, based on World Bank, WHO
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: Statista, based on World Bank
International trade
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Trade (% of GDP) in %
Sum of exports and imports of goods and services in relation to total gross domestic product (GDP) | Source: Statista, based on World Bank, OECD
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: Statista, based on World Bank, IMF, OECD
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: Statista, based on World Bank
Container port traffic in m TEU
Sum of on- and offloading of containers (TEU: 20 foot equivalent units) to marine vessels in the selected region | Source: Statista, based on UNCTAD, World Bank
Tariff rate in %
Simple mean of applied tariff rates for all products in the selected region | Source: Statista, based on World Bank
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: Statista, based on World Bank
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: Statista, based on World Bank
Finance
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Banking penetration in %
Population share using a bank account | Source: Statista, based on World Bank
Credit card penetration in %
Percentage of the total population who own at least one credit card | Source: Statista, based on World Bank
Debit card penetration in %
Percentage of the total population who own at least one debit card | Source: Statista, based on World Bank
POS terminals in k
Total number of point-of sale terminals located in the selected region | Source: Statista, based on BIS
Payment transactions at terminals in bn
Number of non-cash transactions at point-of-sale terminals (EFTPOS) located in the selected region | Source: Statista, Bank for International Settlements
Online banking penetration in %
Estimated population share that uses the internet for accessing banking services | Source: Statista, based on World Bank and Eurostat
Bank branches, per 100,000 adults
Number of physical retail locations of commercial banks per 100,000 adults in the selected region | Source: Statista, based on IMF, World Bank
ATMs / 100,000 adults
Number of ATMs, Automated teller machines are computerized telecommunications devices that provide clients of a financial institution with access to financial transactions in a public place. | Source: Statista, based on World Bank
Savings rate (% of GDP) in %
The savings rate shown here refers to the gross national saving that is composed of gross disposable incomes less final consumption expenditure after taking account of an adjustment for pension funds. | Source: Statista, based on IMF WEOD
Households in m
Total number of households in the selected region | Source: Statista
GDP (current) in US$
Gross domestic product (in current prices, constant exchange rate) of the selected region per capita | Source: Statista, based on IMF WEOD
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: Statista, based on IMF
Source: Statista, November 2019
Source: Statista, November 2019, based on IMF, World Bank, UN and Eurostat

Methodology

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

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