China, Hong Kong SAR vs Guatemala: Maize (corn) — Terms of trade
Maize (corn) — Terms of trade over time
- China, Hong Kong SAR
- Guatemala
How they compare
China, Hong Kong SAR currently reports 286.19 % against 230.83 % in Guatemala, a difference of 55.36 %.
That makes China, Hong Kong SAR's figure about 1.2 times Guatemala's.
The two have swapped places 7 times across 15 shared years of data; in 2010 it was Guatemala ahead.
China, Hong Kong SAR ranks 19th and Guatemala ranks 21st of 108 countries.
Across the 2 decades both report, China, Hong Kong SAR averaged higher in 1 and Guatemala in 1.
Head to head by decade
| Decade | China, Hong Kong SAR | Guatemala | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 78.9 % | 109.51 % | 30.61 % | Guatemala |
| 2020s | 268.99 % | 243.48 % | 25.51 % | China, Hong Kong SAR |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher maize (corn) — terms of trade, China, Hong Kong SAR or Guatemala?
- China, Hong Kong SAR, at 286.19 % against 230.83 % in Guatemala as of 2024.
- What is the difference in maize (corn) — terms of trade between China, Hong Kong SAR and Guatemala?
- 55.36 %, with China, Hong Kong SAR ahead.
- How many years of comparable data are there for China, Hong Kong SAR and Guatemala?
- 15 years are reported by both, from 2010 to 2024.
- How do China, Hong Kong SAR and Guatemala rank globally for maize (corn) — terms of trade?
- China, Hong Kong SAR ranks 19th and Guatemala ranks 21st of 108 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Maize (corn) — Terms of trade. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The food and agricultural trade indicators dataset is based on trade, production and gross domestic product (GDP) data. Agri-food trade data are collected, processed and disseminated by FAO according to the standard International Merchandise Trade Statistics (IMTS) Methodology. The data is mainly provided by UNSD, Eurostat, and other national authorities as needed. The source data is checked for outliers, trade partner data is used for non-reporting countries or missing cells, and data on food aid is added to take total cross-border trade flows into account. The trade database includes the following variables: export quantity, export value, import quantity, and import value. It includes all food and agricultural products imported/exported annually by all countries in the world. Production data details are available at https://www.fao.org/faostat/en/#data/QCL and GDP data details are available at https://www.fao.org/faostat/en/#data/MK