Niger vs Thailand: Apples — Revealed comparative advantage index

Niger
0.03
in 2020
Thailand
0.03
in 2024
Niger rank
66th
Thailand rank
66th

Apples — Revealed comparative advantage index over time

  • Niger
  • Thailand
00.010.020.03201020172024

How they compare

Niger currently reports 0.03 against 0.03 in Thailand, a difference of 0.

The two have swapped places 1 time across 7 shared years of data; in 2010 it was Thailand ahead.

Niger ranks 66th and Thailand ranks 66th of 129 countries.

Across the 2 decades both report, Niger averaged higher in 1 and Thailand in 1.

Head to head by decade

Decade Niger Thailand Difference Ahead
2010s 0 0.0067 0.0067 Thailand
2020s 0.03 0.01 0.02 Niger

Averages of every year both report within each decade.

Frequently asked questions

Which has higher apples — revealed comparative advantage index, Niger or Thailand?
Niger, at 0.03 against 0.03 in Thailand as of 2020.
What is the difference in apples — revealed comparative advantage index between Niger and Thailand?
0, with Niger ahead.
How many years of comparable data are there for Niger and Thailand?
7 years are reported by both, from 2010 to 2020.
How do Niger and Thailand rank globally for apples — revealed comparative advantage index?
Niger ranks 66th and Thailand ranks 66th of 129 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Apples — Revealed comparative advantage index. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Apples — Revealed comparative advantage index
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
131 places, 1,626 data points, 2010–2024
Last refreshed

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