Australia & New Zealand Dried Fruits MARKET By Application
Thailand Edible roots and tubers with high starch or inulin content, n.e.c., fresh Export quantity
What is Thailand's edible roots and tubers with high starch or inulin content, n.e.c., fresh export quantity (t)? As of 2023, it's 1.4K Tons, down from 5.1K Tons in 2014.
| Label | Edible roots and tubers with high starch or inulin content, n.e.c., fresh Export quantity (t) |
|---|---|
| 2014 | 5051.3 Tons |
| 2015 | 5508.05 Tons |
| 2016 | 6040.26 Tons |
| 2017 | 6504.01 Tons |
| 2018 | 12182.66 Tons |
| 2019 | 9689.6 Tons |
| 2020 | 8564.15 Tons |
| 2021 | 5223.47 Tons |
| 2022 | 2639.64 Tons |
| 2023 | 1370.09 Tons |
Data Source: Food and Agriculture Organization (FAO) and Wantstats Repository
Thailand Edible roots and tubers with high starch or inulin content, n.e.c., fresh Export quantity: Key Points
- Thailand's edible roots and tubers with high starch or inulin content, n.e.c., fresh Export quantity tells a 73% story: 5.05K t at the 2014 starting line, 1.37K t by 2023, down the whole way through.
- 2018: leaps to 12.18K t (+87%).
- 2021: caves in to 5.22K t (-39%).
- 2022: drops hard to 2.64K t (-49%).
- 2023: collapses to 1.37K t (-48%).
- Where it lands: 1.37K t in 2023, a 72.9% drop from the 2014 starting line.
What Broke Global Trade In 2020
Treat this less like a trend and more like a set of individual events. Something different seems to be driving each up or down move rather than one consistent force.
Read this drop as part of the worldwide pandemic trade shock — lockdowns disrupted shipping, production, and demand together, and most countries' trade data shows the same pattern.
Use the direction of this line more than any single year's value — edible roots and tubers with high starch or inulin content, n.e.c., fresh Export quantity figures like this one are most reliable as a trend indicator, less reliable as a precise year-by-year scorecard.
Source here is a national/international statistics body, not a live measurement — most time series like this are interpolated or modeled between actual survey years. Treat the trend as the real signal, individual years as approximate.
Small absolute numbers like these amplify percentage swings — the same-sized change in volume looks dramatic as a percentage here in a way it wouldn't for a bigger trade flow. Read the raw numbers, not just the percent.
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