The yield on Ireland 10Y Bond Yield rose to 2.97% on December 2, 2025, marking a 0.01 percentage points increase from the previous session. Over the past month, the yield has edged up by 0.06 points and is 0.61 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. Ireland 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on December of 2025.

Graph and download economic data for Interest Rates: Long-Term Government Bond Yields: 10-Year: Main (Including Benchmark) for Ireland (IRLTLT01IEM156N) from Dec 1970 to Oct 2025 about Ireland, long-term, 10-year, bonds, yield, government, interest rate, interest, and rate.

The statistic shows the long-term government bond yields rate in Ireland from 2000 to 2024 as annual average values. In 2000, the average bond yield in Ireland amounted to **** percent. That value has decreased overall to the level of **** percent in 2024.

Graph and download economic data for Interest Rates: Long-Term Government Bond Yields: 10-Year: Main (Including Benchmark) for Ireland (IRLTLT01IEQ156N) from Q1 1971 to Q3 2025 about Ireland, long-term, 10-year, bonds, yield, government, interest rate, interest, and rate.

IE: Government Bond Yield: Long Term data was reported at 0.952 % pa in 2017. This records an increase from the previous number of 0.736 % pa for 2016. IE: Government Bond Yield: Long Term data is updated yearly, averaging 5.118 % pa from Dec 1988 (Median) to 2017, with 30 observations. The data reached an all-time high of 10.083 % pa in 1990 and a record low of 0.736 % pa in 2016. IE: Government Bond Yield: Long Term data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Ireland – Table IE.IMF.IFS: Treasury Bill and Government Securities Rates: Annual.

Ireland - Long term gov. bond yields was 2.95% in September of 2025, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Ireland - Long term gov. bond yields - last updated from the EUROSTAT on October of 2025. Historically, Ireland - Long term gov. bond yields reached a record high of 3.27% in October of 2023 and a record low of -0.08% in August of 2021.

Historical dataset of the Ireland 10-Year Government Bond Yield, covering values from 1985-01-01 to 2025-12-02, with the latest releases and long-term trends. Available for free download in CSV format.

View monthly updates and historical trends for Ireland 10-Year Government Bond Interest Rate (DISCONTINUED). Source: Eurostat. Track economic data with YC…

View market daily updates and historical trends for Ireland-Netherlands 10 Year Bond Spread. Source: Eurostat. Track economic data with YCharts analytics.

View market daily updates and historical trends for Ireland-Germany 10 Year Bond Spread. Source: Eurostat. Track economic data with YCharts analytics.

View market daily updates and historical trends for Ireland-France 10 Year Bond Spread. Source: Eurostat. Track economic data with YCharts analytics.

View market daily updates and historical trends for Ireland-Bulgaria 10 Year Bond Spread. Source: Eurostat. Track economic data with YCharts analytics.

Index Time Series for JPMorgan ETFs (Ireland) ICAV Global High Yield Corporate Bond Multi-Factor UCITS ETF GBP H Inc. The frequency of the observation is daily. Moving average series are also typically included. NA

The mortgage interest rate in Ireland increased notably in 2023. From **** percent in the fourth quarter of 2022, the rate reached **** percent in the fourth quarter of 2023. In 2024, the rate eased, falling to **** percent in the fourth quarter of the year. This was part of an overall trend of increasing mortgage interest rates in Europe. Factors that influence mortgage interest rates include inflation, economic growth, monetary policies, the bond market, the stability of lenders, and the overall conditions of the housing market.

The Fund Management Activities industry serves major clients, including pension funds, insurance and reinsurance firms, retail clients and other institutional clients. Despite an impressive stock market performance in 2021, with investor hopes of the economy returning to normality after the COVID-19 outbreak, economic headwinds like rising inflation meant the market rally was short-lived and fund managers struggled to generate healthy returns. Despite rock-bottom confidence persisting into 2023, investment markets defied expectations. Investors pricing in rate cuts in the last couple of 2023 triggered a rally in stock markets, while stocks in the US were also driven by the “Magnificent 7” tech stocks, which recorded eyewatering growth through the year. Bond markets also welcomed the end of interest rate hikes, resulting in many investors rushing to lock in higher yields, supporting capital inflows. Industry revenue is expected to grow at a compound annual rate of 7% to €13.5 billion over the five years through 2024, including estimated growth of 7% in 2024, while the average industry profit margin is estimated to be 22.8%. Fund managers have seen significant regulatory change, including the Undertakings for Collective Investment in Transferable Securities and the Markets in Financial Instruments Directive II. Ireland's dominating position of European ETFs is due to its neutral tax environment, which allows investors to rake in a greater proportion of returns from investments. AUM in the Irish industry have been growing at the fastest rate of any European fund domicile, drastically increasing the potential of fund managers to generate higher absolute returns. Industry revenue is expected to grow at a compound annual rate of 8.5% to reach €20.3 billion. A shift towards actively managed ETFs will drive revenue growth in the coming years, with investors demanding targeted exposure and tax efficient benefits in a volatile market. The influx of financial firms into Ireland after the UK's exit from the EU will also support the fund management industry as they try to capitalise on EU financial regulations. Debt-based securities are set to become increasingly popular as fund managers turn to safer assets such as bonds to cater for the growing demand for pension funds, driven by the ageing baby boomer generation.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Mincon (MCON) Drilling into Growth: Can the Irish Mining Tech Firm Dig Up Big Gains?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data