Africa Corporate Wellness Market, by End User, 2018-2027
Zimbabwe Coconut Oil Food supply (kcal/capita/day)
What is Zimbabwe's coconut oil food supply (kcal/capita/day) (kcal/cap/d)? As of 2023, it's 0.1 kcal/cap/d, up from 0.1 kcal/cap/d in 2014.
| Label | Coconut Oil Food supply (kcal/capita/day) (kcal/cap/d) |
|---|---|
| 2014 | 0.12 kcal/cap/d |
| 2015 | 0.08 kcal/cap/d |
| 2016 | 0.19 kcal/cap/d |
| 2017 | 0.06 kcal/cap/d |
| 2018 | 0.13 kcal/cap/d |
| 2019 | 0.11 kcal/cap/d |
| 2020 | 0.14 kcal/cap/d |
| 2021 | 0.15 kcal/cap/d |
| 2022 | 0.11 kcal/cap/d |
| 2023 | 0.13 kcal/cap/d |
Data Source: Food and Agriculture Organization (FAO) and Wantstats Repository
Zimbabwe Coconut Oil Food supply (kcal/capita/day): Key Points
- The 2023 figure for Zimbabwe's coconut Oil Food supply is 0.1300 kcal/cap/d. Back in 2014 it was 0.1200 kcal/cap/d — a rise of about 8% across the years in between.
- 2016: shoots up to 0.1900 kcal/cap/d (+138%).
- 2017: caves in to 0.0600 kcal/cap/d (-68%).
- 2018: surges to 0.1300 kcal/cap/d (+117%).
- 2020-2021: leaps to 0.1500 kcal/cap/d (+36%).
- Where it lands: 0.1300 kcal/cap/d in 2023, a 8.3% climb from the 2014 starting line.
Reading A Choppy Series
A series that moves both ways like this is telling you the underlying driver isn't fixed — conditions are shifting, or the indicator itself is sensitive to short-term noise.
This chart answers 'what happened' for Zimbabwe, not 'is that good or bad' — that second question needs a comparison point, either other countries or a longer run of history than what's shown here.
This kind of indicator is almost never measured continuously — it's estimated from periodic data collection, published and later revised by Zimbabwe's statistical authority. Direction is the reliable part; individual years less so.
Perennial crops like this one take years to establish, so the planted area moves gradually — a farmer's decision this year mostly shows up years later, not immediately. Sharp single-year swings are less likely to be real for this kind of crop.
Small absolute numbers like these amplify percentage swings — the same-sized change in tonnes looks dramatic as a percentage here in a way it wouldn't for a bigger commodity. Read the raw numbers, not just the percent.
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