Beauty & Personal Care

China

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

Highlights
Market definition
in-scope / out-of-scope
Reports special
  • Revenue in the Beauty & Personal Care market amounts to €45,879m in 2019. The market is expected to grow annually by 7.0% (CAGR 2019-2023).
  • The market's largest segment is the segment Personal Care with a market volume of €20,666m in 2019.
  • In global comparison, most revenue is generated in United States (€73,405m in 2019).
  • In relation to total population figures, per person revenues of €32.14 are generated in 2019.
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The Beauty & Personal Care market is defined here as consumer goods for cosmetics and body care. Included are beauty cosmetics for the face, lips, skin care products, fragrances and personal care products such as hair care, deodorants and shaving products. Excluded are beauty services, such as hairdressers, professional products and electric personal care products. Products that primarily serve medical purposes are also excluded here but shown as part of the OTC Pharmaceuticals market. All shown sales values refer to the retail value and include sales taxes.
in-scope
  • Decorative cosmetics
  • Skin care
  • Personal care
  • Hair care and styling products
  • Perfume and eaux de toilette
out-of-scope
  • Professional products & services
  • Electronic personal care products (hair dryers, shavers)
Beauty & Personal Care Report 2019

Beauty & Personal Care Report 2019

Statista Consumer Market Outlook - Market Report
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Revenue (2019)
+6.4% yoy
€45,879m
Average Revenue per Capita (2019)
+6.1% yoy
€32.14

Revenue Revenue Growth

in the Beauty & Personal Care market in million € in percent

Reading Support Revenue in the Beauty & Personal Care market amounts to €45,879m in 2019. Reading Support The Beauty & Personal Care market is expected to show a revenue growth of 6.7% in 2020.

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  • 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 Beauty & Personal Care market in €

Reading Support The average revenue per person in the market for Beauty & Personal Care amounts to €32.14 in 2019.

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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.
×

Global Comparison - Revenue

in the Beauty & Personal Care market in million €

Reading Support With a market volume of €73,405m in 2019, most revenue is generated in United States.

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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.
×
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Key Market Indicators

The following Key Market Indicators give an overview of the demographic, economic and technological development of the selected region on the basis of general KPIs. The calculation of Statista’s Market Outlook is based on a complex market-driver logic including over 400 region-specific data sets.

201520162017201820192020202120222023 CAGR
(2015-2023)
Population in m
Number of individuals (all ages) living in the selected region, the data reflect the United 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
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
5-9 years in m
Number of individuals (age 5-9) living in the selected region, the data reflect the United 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
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
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
15-19 years in m
Number of individuals (age 15-19) living in the selected region, the data reflect the United 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
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
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
25-29 years in m
Number of individuals (age 25-29) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN
xxx.x xxx.x xxx.x xxx.x xxx.x xx.x xx.x xx.x xx.x
30-34 years in m
Number of individuals (age 30-34) living in the selected region, the data reflect the United 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 xx.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
xxx.x xxx.x xxx.x xxx.x xxx.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
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.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
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.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 xxx.x xxx.x xxx.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
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
85-89 years in m
Number of individuals (age 85-89) living in the selected region, the data reflect the United 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
Female population in m
Number of female individuals (all ages) 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
0-4 years in m
Number of female individuals (age 0-4) 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
5-9 years in m
Number of female individuals (age 5-9) 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
10-14 years in m
Number of female individuals (age 10-14) 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
15-19 years in m
Number of female individuals (age 15-19) 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
20-24 years in m
Number of female individuals (age 20-24) 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
25-29 years in m
Number of female individuals (age 25-29) 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
30-34 years in m
Number of female individuals (age 30-34) 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
35-39 years in m
Number of female 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 xx.x xx.x xx.x xx.x xx.x
40-44 years in m
Number of female individuals (age 40-44) living in the selected region, the data reflect the United 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 female 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 female 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 female 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 female 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 female 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 female 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 female 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 female 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 female 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 female 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 female 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 female 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
Male population in m
Number of male individuals (all ages) 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
0-4 years in m
Number of male individuals (age 0-4) 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
5-9 years in m
Number of male individuals (age 5-9) 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
10-14 years in m
Number of male individuals (age 10-14) 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
15-19 years in m
Number of male individuals (age 15-19) 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
20-24 years in m
Number of male individuals (age 20-24) 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
25-29 years in m
Number of male individuals (age 25-29) 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
30-34 years in m
Number of male individuals (age 30-34) 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
35-39 years in m
Number of male 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 xx.x xx.x xx.x xx.x xx.x
40-44 years in m
Number of male individuals (age 40-44) living in the selected region, the data reflect the United 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 male 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 male 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 male 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 male 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 male 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 male 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 male 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 male 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 male 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 male 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 male 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
Consumer spending (current) in €
Average consumer spending per capita of private households in the selected region (in current prices, constant exchange rate) | Source: Statista Research
x,xxx x,xxx x,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). | Source: Statista Research
xxx xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx x,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). | Source: Statista Research
xxx xxx xxx xxx xxx xxx xxx xxx xxx
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 Research
xxx xxx xxx xxx xxx xxx 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 Research
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 Research
xxx xxx xxx xxx xxx xxx xxx xxx xxx
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 Research
xxx xxx xxx xxx xxx xxx xxx xxx xxx
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 Research
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 Research
xx xx xx xx xxx xxx xxx xxx xxx
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 Research
xxx xxx xxx xxx xxx xxx xxx xxx xxx
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 Research
xx xx xx xxx xxx xxx xxx xxx xxx
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 Research
xxx xxx xxx xxx xxx xxx xxx xxx xxx
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 Research
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
xxx.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
xxx.x xxx.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
xxx.x xxx.x xxx.x xx.x xx.x xx.x xx.x xx.x xx.x
Recreation, culture
Consumer price index for recreation and culture. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Education
Consumer price index for education. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Restaurants, hotels
Consumer price index for restaurants and hotels. Gaps filled with next higher COICOP position | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Other
Consumer price index for miscellaneous goods and services. These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. Gaps filled with next higher COICOP position. | Source: IMF, national statististical offices, Statista
xx.x xx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Health
Click arrow to expand
Physicians per 1,000 capita
Number of physicians per 1,000 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
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
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 x.x x.x x.x x.x x.x
Container port traffic in m TEU
Sum of on- and offloading of containers (TEU: 20 foot equivalent units) to marine vessels in the selected region | Source: UNCTAD, World Bank, Statista
xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x xxx.x
Finance
Click arrow to expand
Credit card penetration in %
Percentage of adults (population over 15 years of age) who own at least one credit card | Source: World Bank, Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Debit card penetration in %
Percentage of adults (population over 15 years of age) 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
Online banking penetration in %
Percentage of individuals (total population over 1 years) using online-banking services at least once a year (e.g. bank transfers, account information) | Source: Eurostat, Statista
xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x xx.x
Households in m
Total number of households in the selected region. | Source: Statista Research
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, Statista
x,xxx x,xxx x,xxx x,xxx x,xxx x,xxx xx,xxx xx,xxx xx,xxx
Source: Statista, June 2019
Source: Statista, June 2019, based on IMF, World Bank, UN and Eurostat