Assessing the Efficiency of Automated Land Administration: A Study of the Kano Geographic Information System (KANGIS), Nigeria

This study assessed the efficiency of the automated land administration system implemented by the Kano Geographic Information System (KANGIS) in Kano Metropolis, Nigeria, from the perspective of land applicants. A quantitative research design was adopted, using a structured questionnaire administered to 368 of 14,403 registered applicants, alongside secondary data from official KANGIS records (2014-2025). Primary data were analysed using descriptive statistics, while secondary data were analysed using 3-month and 12-month moving average trend analysis. KANGIS significantly improved land administration services, with strong ratings for transparency (Mean = 1.33), record accuracy (Mean = 1.35), and reduced processing time (Mean = 1.63), although site inspection (Mean = 2.55) and final approval (Mean = 2.66) received only moderate ratings. Technical infrastructure (Mean = 1.54), staff training (Mean = 1.58), network connectivity (Mean = 1.60), and clarity of user guidance (Mean = 2.72) were identified as significant constraints. Trend analysis of 14,388 applications processed between 2014 and 2025 revealed substantial fluctuations, declining by 67.2% between 2014 and 2018, collapsing by 62.4% in 2024, and rebounding by 378.3% in 2025, coinciding with the state-wide Certificate of Occupancy recertification exercise launched in late 2024. The study concludes that while KANGIS has substantially modernised land administration and demonstrated capacity for recovery, its full potential remains constrained by infrastructural deficiencies, human capacity gaps, and procedural bottlenecks. Sustained investment in technical infrastructure, staff training, network connectivity, and user support is recommended to stabilise service delivery and restore public confidence in land administration services in Kano State.