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Table & Trail

Every table. Every bed.

153 cafés, restaurants, bars, hotels and motels across Tonga — compiled from open data and public registers, not scraped from listings sites.

NukuʻalofaNeiafuOther countries
153venues
4regions
32towns & suburbs
$0paid for placement

That shape above is Tonga, drawn from nothing but the positions of the venues in this dataset — no coastline, no map tiles, just 153 points, each one somewhere you can eat or sleep. It is the most honest picture of the country this site can draw, and it is also the reason the site exists: the data is public, and nobody had assembled it into a form you could use.

93 places to eat and 60 to stay, across 32 named towns and suburbs and all 4 regions. It is not spread evenly: Tongatapu (105), Vavaʻu (25) and Eua (11) hold 92% of everything between them, and Nukuʻalofa alone accounts for 55.

What this is

This is a small dataset and the site is deliberately smaller because of it. Tonga gets a country page and 2 town guides rather than the full set of category and region indexes the larger countries carry — with 153 venues in total there is nothing a separate page could say that this one cannot. The breakdown is 47 restaurants, 34 hotels, 20 takeaways, 16 b&bs and guest houses, 15 cafés and 11 bars.

Read the percentages on this page with that size in mind. At this scale a single new listing moves a share by a visible amount, and the gap between what is mapped and what exists on the ground is wider than in a country with a large mapping community — 8 of the 153 venues here publish opening hours and 11 list a website, so for anywhere you actually intend to visit, a phone call still beats this page. What the data is good for is orientation: which villages have anything at all, roughly how much, and of what kind.

29 venues carry a cuisine tag (19%). The most common across Tonga are chinese (6), regional (4), pizza (4), coffee shop (3) and seafood (3). Those national proportions are the baseline every town page is measured against — when a page says somewhere over-indexes on one thing, this is what it is being compared to.

The balance between eating and sleeping runs 61% to 39% here. That is a high accommodation share, and it is what a country that hosts more visitors than it has residents to feed looks like in the data.

On data quality, which sets a hard ceiling on what any of these pages can tell you: 8 venues publish opening hours (5%), 11 list a website, and 1 record step-free access. 0 carry enough detail for a page of their own; the rest are listed on their town pages, because a page with a name and a map pin on it is worth nobody's time. A small dataset — single listings move the percentages here, so read the numbers as indicative.

Everywhere we hold, by place

All 153 venues in Tonga, grouped by the nearest named place. Ordered by how many we hold, and within each place by how much is recorded about them — not by any judgement of quality.

Nukuʻalofa — 55 (42 eat, 13 stay)

Ma'ufanga — 19 (16 eat, 3 stay)

Neiafu — 17 (10 eat, 7 stay)

Popua — 7 (2 eat, 5 stay)

Pangai — 6 (4 eat, 2 stay)

Haveluloto — 5 (4 eat, 1 stay)

Angaha — 4 (2 eat, 2 stay)

ʻOhonua — 4 (2 eat, 2 stay)

Elsewhere — 3 (1 eat, 2 stay)

Tofoa — 3 (0 eat, 3 stay)

Toula — 3 (1 eat, 2 stay)

'Eua Fo'ou — 2 (0 eat, 2 stay)

'Utungake — 2 (0 eat, 2 stay)

Faleloa — 2 (0 eat, 2 stay)

Pea — 2 (2 eat, 0 stay)

Pelehake — 2 (1 eat, 1 stay)

Tokomololo — 2 (2 eat, 0 stay)

Āfa — 1 (0 eat, 1 stay)

Foui — 1 (0 eat, 1 stay)

Fua'amotu — 1 (0 eat, 1 stay)

Ha'alalo — 1 (1 eat, 0 stay)

Ha'ateiho — 1 (0 eat, 1 stay)

Hihifo — 1 (0 eat, 1 stay)

Kanokupolu — 1 (0 eat, 1 stay)

Kolovai — 1 (0 eat, 1 stay)

Koulo — 1 (0 eat, 1 stay)

Lavengatonga — 1 (1 eat, 0 stay)

Maungaui — 1 (0 eat, 1 stay)

Nukuleka — 1 (0 eat, 1 stay)

Nukumalolo — 1 (1 eat, 0 stay)

Ovaka — 1 (0 eat, 1 stay)

Teufaiva — 1 (1 eat, 0 stay)

The other countries

The same guide, built the same way, for every market we cover — pick another country.

Built and maintained by

Amit Sharma

Auckland real estate agent and social media marketer. I build these sites so the answer is free and the data is public.