On what merit does a “strong passport” country have over a “weak passport” country?
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Each passport index have different method of ranking the passports. Normally it will stated in their website.
For an example, Hanley Passport Index give the scores of 1 each time the passport can be used to enter the country without visa or visa can be obtained on arrival. Generally, the citizen of any country that have a good foreign relation are easy to go anywhere.
Since the ranking method are different, you will notice that your passport may ranked higher in one index and lower in another index.
The passport that get higher score like Singapore, Japan, etc. will be categorized as Strong Passport and the one that ranked lower like Afghanistan, Iran, Iraq, North Korea, etc will be categorized as Weak passport.
It is based on the number of countries that will allow you to enter without a visa if you hold said passport.
So, for example, based on [these numbers](https://www.henleyglobal.com/passport-index/ranking) France, Germany, Italy, Japan, Singapore and Spain are all ranked #1 as you can enter 194 countries if you hold one of those passports. Afghanistan is the lowest-ranked passport on their list, at 104th, as you can only enter 28 countries with that passport.
Its strong when your country sends troops to recover you. Its weak when you die on a boat trying to cross 1000km water and your body washes ashore so you get back to your home. What a beautiful world.
Passports are often ranked based on their visa-free or visa-on-arrival access to other countries. The Henley Passport Index is a commonly used ranking system. It assigns scores to passports based on the number of countries and territories their holders can visit without obtaining a visa or with visa-on-arrival privileges. Passports with the highest scores have the most extensive global travel access. Rankings may change due to diplomatic agreements, visa policies, and geopolitical factors. It’s important to note that passport rankings can vary depending on the methodology used by different indexes.
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