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CSO vs MyHome vs Daft: Which House Price Data Is Most Accurate in Ireland?

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Irish property watchers are seeing a familiar pattern: house prices are still climbing, but the pace is cooling. The bigger question is which house price data Ireland should trust most when the numbers from the CSO, MyHome, and Daft do not fully match.

For buyers, sellers, investors, and anyone tracking market trends through property technology platforms, these differences matter. Each dataset captures a different stage of the housing market, and understanding the methodology behind each one is the key to reading the market correctly.

Why house price data Ireland can tell different stories

At first glance, it can be confusing. Recent reports from the Central Statistics Office (CSO), MyHome, and Daft all point to the same broad trend: prices are rising more slowly than before. But once you look at the percentages, the gap becomes clear.

  • Daft estimated annual asking-price inflation at 3 per cent nationally
  • MyHome put national asking-price growth at 3.9 per cent
  • The CSO reported transaction-price inflation at 5.1 per cent

That does not necessarily mean one source is wrong. It means they are measuring different things. In simple terms, MyHome and Daft track what sellers hope to get, while the CSO tracks what buyers actually pay.

CSO, MyHome, and Daft: how the data is collected

CSO: the official benchmark

The CSO produces Ireland’s Residential Property Price Index, the State’s official measure of residential price trends. Its figures are based on stamp duty records from Revenue, which means they reflect completed sales rather than listings.

This makes the CSO the strongest source for confirmed transaction values. However, there is a catch: the data comes with a time lag, often reflecting deals agreed weeks or months earlier. In a turning market, that delay can make the picture feel slightly out of date.

MyHome and Daft: real-time market signals

MyHome and Daft are property portal platforms, so they work from asking prices on active listings. That gives them an advantage in speed. Their quarterly reports offer an almost immediate read on seller expectations and changing sentiment.

But asking-price datasets also have structural bias. In hot markets, homes may sell above the listed price after bidding wars. In softer conditions, the opposite can happen, with final sale prices landing below the initial asking figure. That is why house price data Ireland can diverge depending on whether the market is heating up or cooling down.

What the latest numbers reveal about the market

The latest reports suggest affordability pressure is starting to reshape behaviour. Higher borrowing costs, inflation, improving supply in some areas, and wider economic uncertainty are all slowing momentum.

That slowdown is visible across all major trackers, even if their exact numbers differ. The common message is that the market is not reversing sharply, but it is becoming more constrained.

Current estimates also show notable variation in average prices:

  • CSO: €442,512 nationally and €598,677 in Dublin
  • MyHome: €461,084 nationally and €585,132 in Dublin
  • Daft: €445,000 nationally and €635,000 in Dublin

Some of those gaps come down to methodology. The CSO and MyHome often emphasize median prices, while other reports may highlight averages. That distinction matters because a small number of very expensive homes can pull an average upward.

Why methodology matters more than the headline

Anyone using house price data Ireland should look beyond the top-line percentage. A useful housing dataset should answer a few core questions:

  1. Is it based on asking prices or completed sales?
  2. Is it current, or does it reflect a delayed reporting cycle?
  3. Does it adjust for property type, location, and quality?
  4. Is it reporting an average or a median?

This is where property technology and data analytics play a growing role. Digital housing platforms can publish near real-time signals, but official statistical systems remain vital for validation. Together, they offer a more complete view than either could provide alone.

Local variations show why one national figure is never enough

National trends can hide dramatic regional differences. CSO data by Eircode shows just how uneven the Irish housing market remains. In Dublin 6, which includes high-demand areas such as Ranelagh and Rathgar, average prices were close to €1 million. In Dublin 10, covering areas such as Ballyfermot and Cherry Orchard, average prices were far lower.

MyHome’s local snapshots tell a similar story outside the capital, with some towns posting double-digit increases while others decline sharply. That is another reason house price data Ireland should be read at multiple levels: national, city, and local.

So who is right?

The short answer is that all three can be right at the same time. The CSO is the best guide to completed sale prices and remains the official reference point. MyHome and Daft are more useful for spotting turning points early because they reflect live listing behaviour.

For consumers and analysts, the smartest approach is not to choose one source blindly. Instead, combine them:

  • Use CSO data for confirmed market value trends
  • Use MyHome and Daft for short-term directional signals
  • Compare local data, not just national averages
  • Watch the gap between asking and sale prices for clues on market strength

In the end, house price data Ireland is most useful when you understand what each source is actually measuring. The takeaway is clear: the CSO tells you what happened, while MyHome and Daft help show what may happen next.

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