Citizen-science datasets increasingly support long-term assessments of bird populations, but their value depends on how effectively historical nest inventories can be integrated with contemporary volunteer monitoring. I reconstruct the long-term trajectory of the White Stork Ciconia ciconia in Tver Region, western Russia, using three complementary data sources: historical publications, the registered Tver State University nest-site database and associated ArcGIS web application, and volunteer-based breeding observations collected between 2008 and 2016. By the mid-2010s, the regional database documented 432 known nest sites across 31 districts, compared with 194 nests reported for 1998. This increase indicates substantial growth in the known breeding network, although part of it reflects improved detection and reporting. Nest distribution was strongly concentrated in the south-west of the Region, while the north-east remained under-surveyed. Artificial substrates dominated the nesting population: 69.6% of known nests were on water towers and 8.2% on power-line poles, whereas only 2.9% were on trees. Breeding monitoring revealed marked interannual variation. In 2014, 68 of 70 monitored pairs bred successfully and produced 205 young (2.93 young per breeding pair), whereas in 2015 only 40 of 63 pairs were successful, producing 80 young in total (1.27 young per breeding pair). Productivity improved again in 2016 among nests with reliable brood counts. The combined evidence supports a long-term expansion and consolidation of the White Stork population in Tver Region, but also shows that uneven observer coverage limits formal year-to-year trend modelling. The regional database is already sufficient for robust spatial and historical inference and could become a fully quantitative monitoring system once annual coverage and validation are standardized. eBird broadened temporal coverage, and iNaturalist improved spatial inference and recent validation, but neither dataset was sufficient to replace directed nest monitoring for annual breeding-success analysis.