Guatemala vs Marshall Islands: Import unit value index (2015 = 100)
Import unit value index (2015 = 100) over time
- Guatemala
- Marshall Islands
How they compare
Marshall Islands currently reports 121.2 2015 = 100 against 120.3 2015 = 100 in Guatemala, a difference of 0.9 2015 = 100.
The two have swapped places 4 times across 26 shared years of data; in 2000 it was Marshall Islands ahead.
Guatemala ranks 162nd and Marshall Islands ranks 160th of 208 countries.
Across the 3 decades both report, Guatemala averaged higher in 1 and Marshall Islands in 2.
Head to head by decade
| Decade | Guatemala | Marshall Islands | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 85.24 2015 = 100 | 90.14 2015 = 100 | 4.9 2015 = 100 | Marshall Islands |
| 2010s | 108.15 2015 = 100 | 99.71 2015 = 100 | 8.44 2015 = 100 | Guatemala |
| 2020s | 115.47 2015 = 100 | 115.48 2015 = 100 | 0.0167 2015 = 100 | Marshall Islands |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher import unit value index, Guatemala or Marshall Islands?
- Marshall Islands, at 121.2 2015 = 100 against 120.3 2015 = 100 in Guatemala as of 2025.
- What is the difference in import unit value index between Guatemala and Marshall Islands?
- 0.9 2015 = 100, with Marshall Islands ahead.
- How many years of comparable data are there for Guatemala and Marshall Islands?
- 26 years are reported by both, from 2000 to 2025.
- How do Guatemala and Marshall Islands rank globally for import unit value index?
- Guatemala ranks 162nd and Marshall Islands ranks 160th of 208 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.