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<p>Accurate farmland market data plays a crucial role in decision-making for policymakers, investors and operators. We present a nationwide, parcel-level dataset of farmland rent in China, derived from eight survey waves conducted between 2021 and 2025 across 27 provinces. The dataset comprises 7,237 rigorously validated samples, covering 191 cities and 422 counties in major agricultural production regions. Each record contains georeferenced parcel attributes and detailed transaction information, including parcel size, rental price, contracting parties, contractual terms. Compared with existing sources, this dataset offers broader coverage, finer spatial resolution, and improved temporal continuity, thereby addressing long-standing limitations of farmland transfer data in China. No other publicly available dataset provides comparable scope, reliability, and detail. Its release will enhance transparency in farmland markets and enable robust analyses of spatial and temporal dynamics, cross-regional comparisons, and the effects of institutional arrangements on land transactions. The dataset provides a valuable empirical foundation for advancing research in agricultural economics, rural development, and land use policy.</p>

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A spatiotemporal dataset of farmland rent aligned with farming seasons across China 2021–2025

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月11日

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  • Qi Xing,
  • Shuiyi Zhu,
  • Daolin Zhu,
  • Jian Wang

摘要

Accurate farmland market data plays a crucial role in decision-making for policymakers, investors and operators. We present a nationwide, parcel-level dataset of farmland rent in China, derived from eight survey waves conducted between 2021 and 2025 across 27 provinces. The dataset comprises 7,237 rigorously validated samples, covering 191 cities and 422 counties in major agricultural production regions. Each record contains georeferenced parcel attributes and detailed transaction information, including parcel size, rental price, contracting parties, contractual terms. Compared with existing sources, this dataset offers broader coverage, finer spatial resolution, and improved temporal continuity, thereby addressing long-standing limitations of farmland transfer data in China. No other publicly available dataset provides comparable scope, reliability, and detail. Its release will enhance transparency in farmland markets and enable robust analyses of spatial and temporal dynamics, cross-regional comparisons, and the effects of institutional arrangements on land transactions. The dataset provides a valuable empirical foundation for advancing research in agricultural economics, rural development, and land use policy.