Iced tea vs tea consumption (RTD tea liters vs dry tea kg)
Country comparison of iced tea proxy (RTD tea, liters per capita) vs hot tea proxy (dry tea, kg per capita) using Euromonitor/Statista.
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Key Insights
- •Countries can rank high for RTD (iced tea proxy) without being top hot-tea consumers (e.g., China/USA show strong RTD relative to their dry-tea per-capita).
- •Traditional tea-heavy countries (e.g., Turkey, Ireland, Iran, Morocco) tend to score strongly on the dry-tea component even if RTD is moderate.
- •Several large markets (Germany, Japan, UK) show meaningful presence in both RTD and dry-tea, producing balanced composite scores.
- •Cross-country comparisons require unit awareness: liters of RTD and kg of dry tea represent different product categories and consumption contexts.
Country Rankings
Top 10 Countries
Bottom 10 Countries
Data Analysis
Value Distribution
How countries are distributed across the value range
Regional Comparison
Average values by world region (Global avg: 24.0index (see methodology))
About This Statistic
Direct, like-for-like country statistics comparing iced tea consumption to hot tea consumption are rarely published in a single unit. Market research typically tracks iced tea as Ready-to-Drink (RTD) tea in liters, while hot tea is best proxied by total tea leaf consumption in kilograms of dry tea.
This map-ready dataset uses RTD tea per-capita consumption (liters/person/year, 2021) as an iced-tea proxy and total tea per-capita consumption (kg dry tea/person/year, 2022) as a hot-tea proxy. Because these are different units and categories, they should be visualized as separate layers or compared via a conversion assumption (e.g., kg dry tea to liters brewed), with appropriate caveats.
Methodology
To satisfy a single map layer while preserving the 'iced vs hot tea' intent, values are encoded as a COMPOSITE INDEX per country: (RTD_L_per_capita_2021 / 12.8) * 50 + (DryTea_kg_per_capita_2022 / 3.16) * 50. This yields a 0–100 style index where 100 corresponds to the highest RTD value observed in the provided RTD list (China 12.8 L) AND the highest dry-tea value observed in the provided dry-tea list (Turkey 3.16 kg). For countries missing one component, the missing component is imputed using a simple regional-pattern estimate anchored to the closest available markets (e.g., Western Europe neighbors for Europe; Gulf average for GCC; etc.) so that every country plotted has a non-empty value. This is an estimation step and is flagged in caveats.
Full Data
| Rank ↑ | Country ↕ | Value ↕ |
|---|---|---|
| 1 | Argentina | 65.5index (see methodology) |
| 2 | People's Republic of China | 64.4index (see methodology) |
| 3 | Ireland | 50.8index (see methodology) |
| 4 | Türkiye | 50.6index (see methodology) |
| 5 | Japan | 45.3index (see methodology) |
| 6 | Islamic Republic of Iran | 40.8index (see methodology) |
| 7 | United States of America | 38.0index (see methodology) |
| 8 | Germany | 36.7index (see methodology) |
| 9 | Russian Federation | 36.0index (see methodology) |
| 10 | Indonesia | 34.4index (see methodology) |
| 11 | Chile | 33.8index (see methodology) |
| 12 | Morocco | 33.5index (see methodology) |
| 13 | Thailand | 33.2index (see methodology) |
| 14 | Mexico | 32.7index (see methodology) |
| 15 | United Kingdom | 31.2index (see methodology) |
| 16 | South Korea | 30.3index (see methodology) |
| 17 | Belgium | 27.7index (see methodology) |
| 18 | Singapore | 27.0index (see methodology) |
| 19 | Austria | 24.8index (see methodology) |
| 20 | Poland | 24.2index (see methodology) |
| 21 | Australia | 23.0index (see methodology) |
| 22 | Israel | 22.5index (see methodology) |
| 23 | Netherlands | 22.5index (see methodology) |
| 24 | Malaysia | 22.0index (see methodology) |
| 25 | Brazil | 20.8index (see methodology) |
| 26 | Vietnam | 20.5index (see methodology) |
| 27 | New Zealand | 19.9index (see methodology) |
| 28 | South Africa | 19.0index (see methodology) |
| 29 | Philippines | 18.5index (see methodology) |
| 30 | Ukraine | 18.0index (see methodology) |
| 31 | Czech Republic | 17.5index (see methodology) |
| 32 | Canada | 17.4index (see methodology) |
| 33 | France | 17.4index (see methodology) |
| 34 | Hungary | 17.0index (see methodology) |
| 35 | Denmark | 16.3index (see methodology) |
| 36 | Colombia | 16.0index (see methodology) |
| 37 | Sweden | 15.0index (see methodology) |
| 38 | Italy | 14.7index (see methodology) |
| 39 | India | 14.1index (see methodology) |
| 40 | Peru | 14.0index (see methodology) |
| 41 | Saudi Arabia | 13.4index (see methodology) |
| 42 | Finland | 13.0index (see methodology) |
| 43 | Romania | 13.0index (see methodology) |
| 44 | United Arab Emirates | 12.5index (see methodology) |
| 45 | Ecuador | 12.0index (see methodology) |
| 46 | Uruguay | 12.0index (see methodology) |
| 47 | Dominican Republic | 11.5index (see methodology) |
| 48 | Spain | 10.9index (see methodology) |
| 49 | Norway | 10.5index (see methodology) |
| 50 | Paraguay | 10.0index (see methodology) |
| 51 | Greece | 9.5index (see methodology) |
| 52 | Portugal | 8.5index (see methodology) |
| 53 | Venezuela | 8.0index (see methodology) |
Topics
Data Source
This data comes from Statista (Euromonitor International) (2022).
View Original Source