Botswana vs Singapore: Import unit value index
Import unit value index over time
- Botswana
- Singapore
How they compare
Botswana currently reports 121.4 2015 = 100 against 120.6 2015 = 100 in Singapore, a difference of 0.8 2015 = 100.
The two have swapped places 3 times across 45 shared years of data; in 1980 it was Singapore ahead.
Botswana ranks 161st and Singapore ranks 164th of 207 countries.
Singapore has averaged higher in every one of the 5 decades both report.
Head to head by decade
| Decade | Botswana | Singapore | Difference | Ahead |
|---|---|---|---|---|
| 1980s | 53.37 2015 = 100 | 89.89 2015 = 100 | 36.52 2015 = 100 | Singapore |
| 1990s | 67.48 2015 = 100 | 102.6 2015 = 100 | 35.12 2015 = 100 | Singapore |
| 2000s | 72.52 2015 = 100 | 102.09 2015 = 100 | 29.57 2015 = 100 | Singapore |
| 2010s | 100.96 2015 = 100 | 117.34 2015 = 100 | 16.38 2015 = 100 | Singapore |
| 2020s | 118.2 2015 = 100 | 118.56 2015 = 100 | 0.36 2015 = 100 | Singapore |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher import unit value index, Botswana or Singapore?
- Botswana, at 121.4 2015 = 100 against 120.6 2015 = 100 in Singapore as of 2024.
- What is the difference in import unit value index between Botswana and Singapore?
- 0.8 2015 = 100, with Botswana ahead.
- How many years of comparable data are there for Botswana and Singapore?
- 45 years are reported by both, from 1980 to 2024.
- How do Botswana and Singapore rank globally for import unit value index?
- Botswana ranks 161st and Singapore ranks 164th of 207 countries.
- Where does this data come from?
- Handbook of Statistics and data files., UN Conference on Trade and Development (UNCTAD), published as Import unit value index (2015 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Import unit value indices come from UNCTAD's trade database. Unit value indices are based on data reported by countries that demonstrate consistency under UNCTAD quality controls, supplemented by UNCTAD’s estimates using the previous year’s trade values at the Standard International Trade Classification three-digit level as weights. To improve data coverage, especially for the latest periods, UNCTAD constructs a set of average prices indexes at the three-digit product classification of the Standard International Trade Classification revision 3 using UNCTAD’s Commodity Price Statistics, international and national sources, and UNCTAD secretariat estimates. This indicator is an index series where 2015=100.