Bottled Water
Singapore
(Please note: algorithm-based calculation without in-depth analysis) Beta
Revenue
in the Bottled Water market in million US$
Reading Support Revenue in the Bottled Water segment amounts to US$98m in 2019.
Average Revenue per Capita
in the Bottled Water market in US$
Reading Support The average revenue per person in the Bottled Water segment amounts to US$16.93 in 2019.
Analyst Opinion
When it comes to the share of stomach, bottled water competes with tap water as well as with soft drinks and juices. Consumption is high in countries with problematic water supply and/or countries where bottled water in the form of branded products with special properties (e.g., a high mineral content) has long been established. The recent growth has been fueled by a pervasive trend towards health and wellness across many countries.
Out of Home Revenue Share
in the Bottled Water market in percent
Reading Support By 2023 60% of spending in the Bottled Water segment will be attributable to out of home consumption (e.g. in bars and restaurants).
Volume
in the Bottled Water market in million litres
Reading Support In the Bottled Water segment, volume is expected to amount to 109.4 ML by 2023.
Average Volume per Capita
in the Bottled Water market in litres
Reading Support The average volume per person in the Bottled Water segment amounts to 17.4 L in 2019.
Price per Unit
in the Bottled Water market in US$
Reading Support The average price per unit in the Bottled Water segment amounts to US$1.0 in 2019.
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.
2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
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 Click arrow to expand | ||||||||||||||||||||||
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 | ||||||||||||||||||||||
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 Click arrow to expand | ||||||||||||||||||||||
Income share of top 20% in % Share of income that accrues to the income group of the highest 20% | Source: Statista, based on World Bank | ||||||||||||||||||||||
Income share of second 20% in % Share of income that accrues to the income group of the second 20% | Source: Statista, based on World Bank | ||||||||||||||||||||||
Income share of third 20% in % Share of income that accrues to the income group of the third 20% | Source: Statista, based on World Bank | ||||||||||||||||||||||
Income share of fourth 20% in % Share of income that accrues to the income group of the fourth 20% | Source: Statista, based on World Bank | ||||||||||||||||||||||
Income share of lowest 20% in % Share of income that accrues to the income group of the lowest 20% | Source: Statista, based on World Bank | ||||||||||||||||||||||
Consumer spending (current) in US$ Average consumer spending per capita of private households in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Foodstuffs, beverages in US$ Consumer spending per capita for food and non-alcoholic beverages (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. In contrast, the Food market in the Consumer Market Outlook covers only certain segments of processed food and excludes for example fresh food, oils and fats and some other items. The markets for Alcoholic, Non-Alcoholic and Hot Drinks in turn not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Alcohol, tobacco in US$ Consumer spending per capita for alcoholic beverages, tobacco and narcotics (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. The market for Alcoholic, Non-Alcoholic and Hot Drinks not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Clothing, footwear in US$ Consumer spending per capita for clothing and footwear (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). Included are both consumption of goods as well as services (cleaning and cobblers). | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Housing in US$ Consumer spending per capita for housing, water, electricity, gas and other fuels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Household in US$ Consumer spending per capita for furnishings, household equipment and routine maintenance of the house (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Health in US$ Consumer spending per capita for health (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Transport in US$ Consumer spending per capita for transport (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Communication in US$ Consumer spending per capita for communication (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Recreation, culture in US$ Consumer spending per capita for recreation and culture (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Education in US$ Consumer spending per capita for education (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Restaurants, hotels in US$ Consumer spending per capita for restaurants and hotels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Other in US$ Consumer spending per capita for miscellaneous goods and services (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. | Source: Statista, based on IMF, UN, World Bank, Eurostat and national statistical offices | ||||||||||||||||||||||
Consumer price index (CPI) Consumer price index (CPI) for a weighted basket of goods and services. The weights of the components vary by country according to local consumption patterns. The base year (100) has been set to 2017 for all countries, the base year of the input data may vary. | Source: Statista, based on IMF WEOD | ||||||||||||||||||||||
Foodstuffs, beverages Consumer price index for food and non-alcoholic beverages. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices | ||||||||||||||||||||||
Clothing, footwear Consumer price index for clothing and footwear. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices | ||||||||||||||||||||||
Housing Consumer price index for housing, water, electricity, gas and other fuels. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices | ||||||||||||||||||||||
Household Consumer price index for furnishings, household equipment and routine maintenance of the house. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices | ||||||||||||||||||||||
Health Consumer price index for health. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices | ||||||||||||||||||||||
Transport Consumer price index for transport (purchase of vehicles, maintenenace of vehicles and transport services). Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices | ||||||||||||||||||||||
Communication Consumer price index for communication. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices | ||||||||||||||||||||||
Recreation, culture Consumer price index for recreation and culture. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices | ||||||||||||||||||||||
Education Consumer price index for education. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices | ||||||||||||||||||||||
Restaurants, hotels Consumer price index for restaurants and hotels. Gaps filled with next higher COICOP position | Source: Statista, based on IMF, national statistical offices | ||||||||||||||||||||||
Other Consumer price index for miscellaneous goods and services. These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. Gaps filled with next higher COICOP position. | Source: Statista, based on IMF, national statistical offices | ||||||||||||||||||||||
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 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 | ||||||||||||||||||||||
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 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: 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 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: 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 Click arrow to expand | ||||||||||||||||||||||
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 |
Methodology
The Bottled Water 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 Bottled Water industry.
Related content
Here you can find more studies and statistics about "Bottled Water".
Statistics
- Top water brands on Facebook in Italy in 2019
- Volume of mineral waters bottled in Italy 2010-2018
- Sales share of mineral waters in Italy 2017, by packaging type
- Sales share of mineral waters in Italy 2017, by sales channel
- Volume of mineral water exported by Italy 2011-2018
- Consumption volume of bottled water in Italy 2018, by category
- Italy: consumption volume of bottled water 2018, by type
- Italy: consumption volume of bottled sparkling water 2018, by type