Africa Corporate Wellness Market, by End User, 2018-2027
Eastern Asia (excluding intra-trade) Wool, hair waste Import value
What is Eastern Asia (excluding intra-trade)'s wool, hair waste import value (1000 usd)? As of 2023, it's 2.7K 1000 USD, down from 18.5K 1000 USD in 2014.
| Label | Wool, hair waste Import value (1000 USD) |
|---|---|
| 2014 | 18521 1000 USD |
| 2015 | 22347 1000 USD |
| 2016 | 15621 1000 USD |
| 2017 | 15259 1000 USD |
| 2018 | 33435 1000 USD |
| 2019 | 7311 1000 USD |
| 2020 | 3464 1000 USD |
| 2021 | 4408 1000 USD |
| 2022 | 4781 1000 USD |
| 2023 | 2699 1000 USD |
Data Source: Food and Agriculture Organization (FAO) and Wantstats Repository
Eastern Asia (excluding intra-trade) Wool, hair waste Import value: Key Points
- Two numbers frame this chart: 18.52K USD for Eastern Asia (excluding intra-trade)'s wool, hair waste Import value in 2014, 2.70K USD in 2023. That gap works out to a 85% fall.
- 2018: spikes to 33.44K USD (+119%).
- 2019: collapses to 7.31K USD (-78%).
- 2020: caves in to 3.46K USD (-53%).
- 2023: falls away sharply to 2.70K USD (-44%).
- Net result across the whole period: down 85.4%, closing 2023 at 2.70K USD.
Why Trade Collapsed in 2020
With movement this mixed, it is worth being skeptical of anyone drawing a strong conclusion from just the start and end points.
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.
Read this bounce as part of the worldwide trade recovery — most economies saw trade flows pick back up as reopening and stimulus drove demand higher in the same period.
Worth pairing this with the same indicator for a handful of comparable economies before concluding anything about Eastern Asia (excluding intra-trade) specifically — a move that looks large here can be the regional norm, or genuinely unusual, and this chart alone can't say which.
This data comes from Eastern Asia (excluding intra-trade)'s statistical reporting, sourced from the link below. As with most cross-country indicator datasets, expect the underlying survey to run less often than annually, with gaps modeled in between.
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