Methodology & Data Sources 方法论与数据来源

How We Calculate It 我们如何计算

Transparency in every metric — data sources, algorithms, update schedules and known limitations. 每项指标透明可查——数据来源、算法、更新周期与已知局限性。

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Data Sources 数据来源
All primary datasets used across IrelandPropertyData IrelandPropertyData 所使用的全部原始数据集
Source来源 Dataset数据集 Coverage覆盖范围 Update Frequency更新频率 Last Updated最近更新 Link链接
Revenue.ie Property Price Register (PPR)房产价格登记册(PPR) 699,653 residential transactions, 2010–present, all 26 counties699,653 宗住宅交易,2010年至今,全部26个郡 Monthly每月 2026-03 propertypriceregister.ie
Daft.ie Daft Rental Price ReportDaft 租金价格报告 Average asking rent by county and Dublin postcode (D1–D24), 2018–present按郡及都柏林邮政编码(D1–D24)划分的平均要价租金,2018年至今 Quarterly每季度 2025Q4 daft.ie/report
RTB Residential Tenancies Board Rent Index住宅租约委员会租金指数 Registered tenancy rents by county, bedroom count, 2007–present按郡及卧室数量划分的已登记租约租金,2007年至今 Quarterly每季度 2025Q3 rtb.ie/research/rent-index
CSO PxStat Planning Permissions Granted (BHA14)已批准规划许可(BHA14) New dwelling planning grants by county, 2013–present按郡划分的新住宅规划批准数量,2013年至今 Quarterly每季度 2026Q1 data.cso.ie
CSO PxStat New Dwelling Completions (NDQ05)新住宅竣工量(NDQ05) Completed new dwellings by local authority, 2011–present按地方当局划分的新住宅竣工数量,2011年至今 Quarterly每季度 2025Q4 data.cso.ie
CSO PxStat Recorded Crime Statistics犯罪统计数据 Crime incidents by county, 2003–present按郡划分的犯罪事件,2003年至今 Annual每年 2024 data.cso.ie
CSO Population Census人口普查 County population and household size, 2022郡人口及家庭规模,2022年 5-yearly每5年 2022 cso.ie
SEAI Building Energy Rating (BER)建筑能源评级(BER) 1.1M+ rated properties with EPC bands and heat pump data逾110万个已评级房产,包含能效等级及热泵数据 Continuous持续更新 2025Q1 ndber.seai.ie
ECB / Central Bank Mortgage Interest Rates抵押贷款利率 ECB main refinancing rate + Irish retail mortgage rates欧央行主要再融资利率 + 爱尔兰零售抵押贷款利率 Monthly每月 Monthly每月 sdmx.ecb.europa.eu
IDA Ireland / FDI Markets FDI Investment by County各郡外商直接投资 Foreign direct investment by county, normalized 0–100 score按郡划分的外商直接投资,标准化0–100评分 Annual每年 2025 idaireland.com

All datasets are fetched automatically every Sunday at 03:00 UTC. PPR data is imported monthly. If you notice a discrepancy, contact us at [email protected].

所有数据集每周日凌晨3时(UTC)自动更新。PPR数据每月导入。如发现数据差异,请发送邮件至 [email protected]。


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Investment Opportunity Score 投资机会评分
How county scores are computed for the Invest page 投资评分页面的郡级评分计算方式

Each county receives a score from 0–100 calculated as a weighted sum of 6 normalized components. The score is designed to rank counties by relative investment attractiveness — it does not predict future returns.

每个郡获得一个0–100的评分,由6个标准化指标的加权求和计算得出。该评分旨在按相对投资吸引力对各郡进行排名,并不预测未来回报。

Component指标 Weight权重 Metric计算方法 Source数据来源
Rental Yield租金收益率 35% Gross yield = (annual RTB rent × 12) / Daft median asking price毛收益率 = (RTB年租金 × 12) / Daft要价中位数 RTB + Daft
5-Year Price Growth5年价格增长 25% % change in PPR median price, 2020→2025PPR中位价格变动百分比,2020→2025 PPR
Market Liquidity市场流动性 10% Annual PPR transaction count relative to housing stock年度PPR交易量相对于住房存量的比例 PPR + CSO
FDI Attractiveness外商投资吸引力 10% IDA Ireland investment score (normalized)IDA爱尔兰投资评分(标准化) IDA
Population Growth人口增长 10% % change in county population, 2016→2022郡人口变动百分比,2016→2022 CSO Census
Vacancy Rate (inverse)空置率(逆向) 10% Lower vacancy = higher score; from CSO Housing data空置率越低 = 评分越高;来源:CSO住房数据 CSO
Normalization 标准化方法
normalized_score = (value − min) / (max − min) × 100 标准化评分 = (数值 − 最小值) / (最大值 − 最小值) × 100

Each raw metric is normalized to a 0–100 scale using min-max normalization across all 26 counties before weighting. The final score is the weighted sum, rounded to one decimal place.

每项原始指标在加权前,均使用全部26个郡的最小-最大标准化法转换为0–100分。最终评分为加权求和,保留一位小数。

Note: This score is a quantitative ranking tool to identify relative investment attractiveness across counties. It does not constitute investment advice. Property investment involves significant risk. Always consult a licensed financial adviser.
注意:本评分仅为量化排名工具,用于识别各郡相对投资吸引力。不构成投资建议。房产投资存在重大风险,请务必咨询持牌财务顾问。

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How Rental Yield Is Calculated 租金收益率计算方式
Gross yield definition and what is not included 毛收益率定义及未纳入项目
Gross Yield Formula 毛收益率公式
Gross Yield = (Daft 2-bed asking rent × 12) / Daft asking price (current quarter) 毛收益率 = (Daft 2卧室挂牌租金 × 12) / Daft挂牌价格(最新季度)

This is a gross yield — before taxes, costs and vacancy. It uses the Daft 2-bed asking rent divided by the Daft asking price for the most current quarter. Where Daft asking price is unavailable for a county, the PPR median (2022–present) is used as a fallback — this typically overstates yield by 0.5–2% relative to current market prices.

这是毛收益率——未扣除税款、成本及空置期。使用Daft最新季度2卧室挂牌租金除以Daft挂牌价格。若某郡缺乏Daft挂牌价格,则以PPR成交中位价(2022年至今)作为备用,这通常会将收益率高估0.5–2%。

Rent Year-on-Year (YoY) Source Priority: 租金同比(YoY)数据来源优先级:
  1. Stored Daft.ie YoY (from official Daft quarterly report) — highest reliability
  2. RTB New Tenancies YoY (same quarter vs prior year) — covers all 26 counties
  3. Calculated Daft YoY (quarter-on-quarter comparison, capped ±20%) — lowest trust, used only when RTB unavailable
  1. Daft.ie官方季报存储值——可靠性最高
  2. RTB新租赁同比(同季度同比)——覆盖全部26郡
  3. Daft季度计算值(±20%上限)——可靠性最低,仅在RTB数据缺失时使用

Net yield would subtract taxes and ongoing costs. Use the Net Return Calculator to model net yield for specific scenarios.

净收益率需扣除税款及持续成本。请使用净回报计算器对特定情景进行净收益率建模。

Included (Gross Yield)已纳入(毛收益率) Excluded — use calculator for net yield未纳入——请用计算器计算净收益率
Annual rental income (RTB 2-bed median × 12)年度租金收入(RTB 2卧室中位数 × 12) Income tax (20–40%) + USC + PRSI所得税(20–40%)+ USC + PRSI
Mortgage interest repayment贷款利息还款
LPT (€315–€495/year typical)地方房产税(LPT,通常€315–€495/年)
Management fees (8–12% of rent)管理费(租金的8–12%)
Maintenance & repairs维护与维修费用
Vacancy periods空置期


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Known Limitations & Caveats 已知局限性与注意事项
Transparency about what the data cannot tell you 关于数据无法告知您的内容的透明说明
1. Rental yield benchmark. Rental yield uses 2-bedroom apartment RTB rents as the benchmark. Yields for houses, studios, or larger units will differ significantly.
1. 租金收益率基准。租金收益率以RTB 2卧室公寓租金作为基准。独立屋、开间或更大户型的收益率将存在显著差异。
2. Dublin intra-city variation. Dublin county data uses Daft's postcode-level data aggregated to a city-wide figure. Intra-Dublin variation (D4 vs D10) is significant — use the Dublin Postcodes page for granular data.
2. 都柏林市内差异。都柏林郡数据使用Daft邮政编码级别数据汇总为全市整体数字。都柏林市内差异显著(如D4与D10)——请使用都柏林邮政编码页面查看详细数据。
3. Population data vintage. Population growth figures are from the 2022 Census (2016–2022 period). CSO does not publish county-level annual population estimates; the next census is planned for 2027. Post-2022 migration trends are not reflected in county-level scores.
3. 人口数据时效性。人口增长数据来自2022年人口普查(2016–2022年期间)。CSO不发布郡级年度人口估算,下次人口普查计划于2027年进行。2022年后的移民趋势未反映在郡级评分中。
4. BER rating coverage bias. BER ratings cover properties that have been rated — unrated properties (typically older stock) are not included, which may skew results toward newer builds with higher energy ratings.
4. BER评级覆盖偏差。BER评级仅涵盖已评级的房产——未评级的房产(通常为较旧的房屋存量)未被纳入,这可能使结果偏向能效评级较高的新建房产。
5. FDI scores are relative, not absolute. FDI scores are normalized annually. A county's score reflects relative FDI attractiveness compared to other Irish counties, not an absolute figure of investment volume.
5. FDI评分为相对值,非绝对值。FDI评分每年标准化。一个郡的评分反映的是相对于其他爱尔兰郡的外商投资吸引力,而非投资额的绝对数字。

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Data Update Schedule 数据更新周期
When each dataset is refreshed 每项数据集的刷新时间
Frequency频率 Datasets数据集 Time (UTC)时间(UTC)
Weekly (Sunday)每周(周日) Full pipeline: PPR import + CSO fetch + JSON regeneration完整流程:PPR导入 + CSO获取 + JSON重新生成 03:00
Daily每日 JSON statistics files regenerated from database从数据库重新生成JSON统计文件 03:00
Monthly每月 PPR bulk download + incremental importPPR批量下载 + 增量导入 1st of month每月1日
Quarterly每季度 RTB, Daft, CSO Planning/CompletionsRTB、Daft、CSO规划/竣工数据 Within 2 weeks of CSO releaseCSO发布后2周内
Annual每年 Census population data, BER snapshot人口普查数据、BER快照 Q1 each year每年第一季度
Data freshness indicator: Each page on IrelandPropertyData displays a "Last updated" timestamp so you always know how current the figures are.
数据新鲜度指示:IrelandPropertyData 的每个页面均显示"最近更新"时间戳,方便您随时了解数据的时效性。
Important: This methodology page describes how metrics are calculated as of April 2026. Algorithms and data sources are updated periodically as better data becomes available. If you have questions about a specific calculation or believe you have found an error, please contact [email protected].

Useful official sources: Property Price Register  ·  RTB Rent Index  ·  CSO PxStat  ·  SEAI BER Register
重要声明:本方法论页面描述截至2026年4月各项指标的计算方式。随着更优质数据的获取,算法和数据来源将定期更新。如对特定计算有疑问或发现错误,请发送邮件至 [email protected]。

官方参考来源: 房产价格登记册  ·  RTB租金指数  ·  CSO PxStat  ·  SEAI BER登记册