Nutella compared: Morocco · French Polynesia · Lebanon · People's Republic of China
Pick 2 to 4 countries and read them side by side. Every column also shows how much evidence sits behind it, so you can judge how much a price gap is worth.
Countries compared
4 of 4
ResetMaximum of 4 countries. Remove one to pick another.
- Morocco1 obs.
- French Polynesia1 obs.
- Lebanon2 obs.
- People's Republic of China1 obs.
- Singapore3 obs.
- Burundi2 obs.
- Comoros2 obs.
- Greenland2 obs.
- Guam2 obs.
- Russian Federation2 obs.
- Aruba1 obs.
- Belarus1 obs.
- Cook Islands1 obs.
- Eritrea1 obs.
- Greece1 obs.
- Grenada1 obs.
- Guadeloupe1 obs.
- Indonesia1 obs.
- Kazakhstan1 obs.
- Monaco1 obs.
- Mongolia1 obs.
- Nepal1 obs.
- New Zealand1 obs.
- Pakistan1 obs.
- Romania1 obs.
- Saudi Arabia1 obs.
- Senegal1 obs.
- Svalbard and Jan Mayen1 obs.
- Thailand1 obs.
- Turkmenistan1 obs.
- United States of America1 obs.
Heads up: these columns do not carry equal evidence
- Morocco, French Polynesia, and People's Republic of China rests on a single observation. That is a real sighting, not an average you can weigh against the other columns.
- Morocco and People's Republic of China is outside the freshness window while the other columns are inside it, so you are comparing different periods.
- For Morocco, French Polynesia, Lebanon, and People's Republic of China, source variety is inferred from observation dates because no observation names a store or a retailer.
| Measure | Morocco | French PolynesiaCheapest | Lebanon | People's Republic of China |
|---|---|---|---|---|
| Headline price | 1.03 EUR/ 100gLatest verified observation+1960% vs the cheapest | 0.05 EUR/ 100gLatest verified observation | 1.15 EUR/ 100gPreliminary average+2200% vs the cheapest | 2.06 EUR/ 100gLatest verified observation+4020% vs the cheapest |
| Range | Not available | Not available | 1.00 EUR – 1.29 EUR | Not available |
| Observations | 1 observation | 1 observation | 2 observations | 1 observation |
| Distinct sources | 1 observation date | 1 observation date | 1 observation date | 1 observation date |
| Period | Observed Jan 02, 2023Out of date | Observed Sep 24, 2025 | Observed Dec 15, 2025 | Observed Nov 20, 2023Out of date |
| Freshness | Out of date | Up to date | Up to date | Out of date |
| Confidence | Preliminary | Preliminary | Preliminary | Preliminary |
| Latest local priceThe local price is a single observation, the most recent one, not a country average. | MAD 34.30 | CFPF 14.5 | $9.00 | CN¥32.00 |
Headline price
- Morocco
- 1.03 EUR/ 100gLatest verified observation+1960% vs the cheapest
- French PolynesiaCheapest
- 0.05 EUR/ 100gLatest verified observation
- Lebanon
- 1.15 EUR/ 100gPreliminary average+2200% vs the cheapest
- People's Republic of China
- 2.06 EUR/ 100gLatest verified observation+4020% vs the cheapest
Range
- Morocco
- Not available
- French Polynesia
- Not available
- Lebanon
- 1.00 EUR – 1.29 EUR
- People's Republic of China
- Not available
Observations
- Morocco
- 1 observation
- French Polynesia
- 1 observation
- Lebanon
- 2 observations
- People's Republic of China
- 1 observation
Distinct sources
- Morocco
- 1 observation date
- French Polynesia
- 1 observation date
- Lebanon
- 1 observation date
- People's Republic of China
- 1 observation date
Period
- Morocco
- Observed Jan 02, 2023Out of date
- French Polynesia
- Observed Sep 24, 2025
- Lebanon
- Observed Dec 15, 2025
- People's Republic of China
- Observed Nov 20, 2023Out of date
Freshness
- Morocco
- Out of date
- French Polynesia
- Up to date
- Lebanon
- Up to date
- People's Republic of China
- Out of date
Confidence
- Morocco
- Preliminary
- French Polynesia
- Preliminary
- Lebanon
- Preliminary
- People's Republic of China
- Preliminary
Latest local price
The local price is a single observation, the most recent one, not a country average.
- Morocco
- MAD 34.30
- French Polynesia
- CFPF 14.5
- Lebanon
- $9.00
- People's Republic of China
- CN¥32.00
A higher price does not explain itself. Currency, taxes, package size, promotions and retail chains all differ by country. This comparison shows the data, not the causes.