Middle East, North Africa, Afghanistan & Pakistan (excluding high income) vs Seychelles: Arms imports (SIPRI trend indicator values), per unit of GDP
Arms imports (SIPRI trend indicator values), per unit of GDP over time
- Middle East, North Africa, Afghanistan & Pakistan (excluding high income)
- Seychelles
How they compare
Seychelles currently reports 0.0128 SIPRI trend indicator values per US$ of GDP against 0.0006 SIPRI trend indicator values per US$ of GDP in Middle East, North Africa, Afghanistan & Pakistan (excluding high income), a difference of 0.0122 SIPRI trend indicator values per US$ of GDP.
That makes Seychelles's figure about 20.3 times Middle East, North Africa, Afghanistan & Pakistan (excluding high income)'s.
The two have swapped places 5 times across 15 shared years of data; in 1977 it was Middle East, North Africa, Afghanistan & Pakistan (excluding high income) ahead.
Middle East, North Africa, Afghanistan & Pakistan (excluding high income) ranks 9th and Seychelles ranks 7th of 42 groups.
Across the 6 decades both report, Middle East, North Africa, Afghanistan & Pakistan (excluding high income) averaged higher in 1 and Seychelles in 5.
Head to head by decade
| Decade | Middle East, North Africa, Afghanistan & Pakistan (excluding high income) | Seychelles | Difference | Ahead |
|---|---|---|---|---|
| 1970s | 0.0535 SIPRI trend indicator values per US$ of GDP | 0.0824 SIPRI trend indicator values per US$ of GDP | 0.0289 SIPRI trend indicator values per US$ of GDP | Seychelles |
| 1980s | 0.0275 SIPRI trend indicator values per US$ of GDP | 0.0404 SIPRI trend indicator values per US$ of GDP | 0.0129 SIPRI trend indicator values per US$ of GDP | Seychelles |
| 1990s | 0.0105 SIPRI trend indicator values per US$ of GDP | 0 SIPRI trend indicator values per US$ of GDP | 0.0105 SIPRI trend indicator values per US$ of GDP | Middle East, North Africa, Afghanistan & Pakistan (excluding high income) |
| 2000s | 0.0028 SIPRI trend indicator values per US$ of GDP | 0.0153 SIPRI trend indicator values per US$ of GDP | 0.0126 SIPRI trend indicator values per US$ of GDP | Seychelles |
| 2010s | 0.003 SIPRI trend indicator values per US$ of GDP | 0.0075 SIPRI trend indicator values per US$ of GDP | 0.0045 SIPRI trend indicator values per US$ of GDP | Seychelles |
| 2020s | 0.0014 SIPRI trend indicator values per US$ of GDP | 0.0128 SIPRI trend indicator values per US$ of GDP | 0.0114 SIPRI trend indicator values per US$ of GDP | Seychelles |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher arms imports (sipri trend indicator values), per unit of gdp, Middle East, North Africa, Afghanistan & Pakistan (excluding high income) or Seychelles?
- Seychelles, at 0.0128 SIPRI trend indicator values per US$ of GDP against 0.0006 SIPRI trend indicator values per US$ of GDP in Middle East, North Africa, Afghanistan & Pakistan (excluding high income) as of 2021.
- What is the difference in arms imports (sipri trend indicator values), per unit of gdp between Middle East, North Africa, Afghanistan & Pakistan (excluding high income) and Seychelles?
- 0.0122 SIPRI trend indicator values per US$ of GDP, with Seychelles ahead.
- How many years of comparable data are there for Middle East, North Africa, Afghanistan & Pakistan (excluding high income) and Seychelles?
- 15 years are reported by both, from 1977 to 2021.
- How do Middle East, North Africa, Afghanistan & Pakistan (excluding high income) and Seychelles rank globally for arms imports (sipri trend indicator values), per unit of gdp?
- Middle East, North Africa, Afghanistan & Pakistan (excluding high income) ranks 9th and Seychelles ranks 7th of 42 groups.
- Where does this data come from?
- Statizoid (derived), published as Arms imports (SIPRI trend indicator values), per unit of GDP. Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
Arms imports (SIPRI trend indicator values) divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.