LTBuhalterinė apskaita ir statistika yra savarankiški mokslai, turintys specifinius objektus ir metodus. Tačiau šie mokslai, taip pat ir praktika turi daug sąsajų: jų pagrindinis tikslas teikti objektyvią informaciją valstybei ir visuomenei siekiat užtikrinti šalies ekonomikos augimą ir visuomenės gerovę. Straipsnyje nagrinėjamos iki šiol netyrinėtos Lietuvos buhalterinės apskaitos ir statistikos sąsajos ir jų transformacijos šiuose jų raidos etapuose: 1) tarpukario Lietuvoje (1918-1940 m.), 2)sovietinės okupacijos laikotarpiu (1940-1990 m.) ir 3) atkūrus Lietuvos nepriklausomybę (1990-2017 m.). Kiekviename etape išryškinama svarbiausios buhalterinės apskaitos statistikos sąsajos, šių mokslų ir praktikos esminiai transformacijos bruožai.
ENAccounting and statistics are autonomous sciences with specific objects and methods. However, these sciences, as well as practice, have many interconnections: their main objective is to provide objective information to the state and society in order to ensure the country‘s economic growth and social well-being. The article emphasizes that till now the authors of the country did not investigate the relations of accounting and statistics, their links in time flow. There was a lot of time in the flow. There was also the fact that accounting methods found a place in economic-statistical calculations, in practice of statistics. The purpose of the paper is to investigate the features and transformations of the accounting and statistical interfaces in their development stages. The article deals with the interrelations and transformations of Lithuanian accounting and statistics by distinguishing the following stages of their development: 1) Interwar Lithuania (1918-1940), 2) Soviet occupation period (1940-1990), 3) after the restoration of independence of Lithuania (1990-2017). At each stage, the main link between accounting and statistics is highlighted, as well as the essential features of the transformation of these sciences and practices. The article shows that time flow has revealed and reveals new problems in the accounting and statistical interfaces.