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Arthabase Intelligence gathers Bali property market data by taking into account two separate but linked sections of the market: properties that are for sale and entire-home holiday rentals.
The article describes what each dataset means, where the listings are obtained from, how frequently the data is updated, and the process by which raw advertisements turn into structured market information. Its objective is to clarify the method before the data is employed for research, analysis, or product development.
What the dataset represents
Arthabase provides a list-based overview of Bali's property market and includes properties and rentals that are publicly advertised through the sources that we keep an eye on, not aiming to show every privately owned property, completed sale, or rental transaction on the island.
Every record is linked to a particular local area and has the information available from the source added to it. The dataset becomes more useful over time as we include new listings, historical observations, further source coverage, and more property attributes.
The data illustrates the way in which advertised market activity changes: where properties are offered, the types of homes that are available, the variation in asking prices and rental features by area, and the way the visible market evolves over time.
This means that the dataset is useful when you want to compare Bali's local markets since it makes its limitations obvious. It provides a structured account of the observable supply, not a complete record of all property ownership or finished transactions.
For-sale property data
The properties for sale are supplied by property agencies in Bali. The dataset includes properties that are being marketed for sale and groups them according to characteristics such as location, price, number of bedrooms, type of property, and the contract terms, where the source gives this information.
The aim is to illustrate the make-up of the active sales supply by indicating what is being marketed, where it is situated, and the way in which the various properties differ from one local area to another. A current picture of that supply is in the Bali villa sale supply snapshot.
The active sale view does not include sold and archived listings, nor does it cover listings that are outside Bali. However, earlier observations can still be kept as historical records so that changes in the supply of properties for sale can be monitored over time.
Holiday rental data
The dataset for holiday rentals includes whole homes that are appropriate for villa-type stays. It shows information about short-term rental stock and not the entire accommodation market.
The criteria in question do not include hotels, private rooms, and all other types of non-villa accommodation. Focus is kept on entire properties which can be compared with other villa-style rentals in the different local markets of Bali.
We keep holiday rental data over time in order to examine seasonal patterns. The inventory shown is that which was captured at a particular month. When a number of months are taken together, this provides a basis for comparing how the supply of rentals changes throughout the year. For how occupancy and nightly rates move across those months, see Bali villa rental seasons.
How the data is refreshed
The supply of properties for sale is updated on a weekly basis, which enables new listings from agencies and any changes to current listings to be shown while they are still relevant.
The data for holiday rentals is updated on a monthly basis and older months stay in the dataset as historical records so that comparisons can be made between different seasons and locations.
The varying ways in which these markets change are shown in the schedules. Sale listings are often added, deleted, or altered frequently, while holiday rental inventory is generally more stable, meaning that refreshing it on a monthly basis gives a useful degree of continuity without having to repeatedly record information that has not changed.
How raw listings become market data
The formats used for source listings are not consistent. Different agencies and rental platforms use different names for areas, property types, sizes, contract terms, and listing statuses.
The Arthabase intelligence system standardises these fields so that records from various sources can be compared; it assigns locations to local areas, structures the prices and the property attributes, and assigns the listings to the correct market category.
The data is also examined for obsolete records, inconsistencies, and duplicate advertisements.
When more than one advertisement refers to the same property, the references are combined in so far as that relationship can be identified, and the property is then counted only once rather than once for each advertisement.
Where a source is incomplete or ambiguous, Arthabase leaves that limitation unaddressed rather than making an unsupported assumption to fill the gap.
Accessing the data
The dataset can also be obtained via Arthabase Studio, the Data API, and MCP.
The method is identical at every access point, and users have the option of browsing the sale and rental data in Studio, obtaining structured records via the API, or using the data with an AI agent.
Accurate data on Bali's property market requires well-defined categories, consistent processing, and the setting of realistic limits. Arthabase uses this method when dealing with both the supply of properties for sale and the inventory of holiday rentals, and the range of coverage increases as new sources and property categories are incorporated. If you are using the data to check a specific purchase, how to research a Bali villa investment walks through that next step.