Disclosed are a method for automatically calculating a real estate appraisal value and a program implementing the same. According to the present invention, the method for automatically calculating a real estate appraisal value comprises : a step of extracting data from a first server with data on individual appraisals, storing the data in a second server and converting the data into a database; a step of filtering the data converted into a database in the second server, including the steps of (a) selecting and deleting data without an appraisal value, (b) selecting and deleting data without appraisal base date information disclosed, and (c) selecting and deleting data without an address disclosed; a step of setting the area of an individual property as an X value and setting a price of the individual property as a Y value, among the filtered data in the second server; a step of analyzing a causal relationship between the X value and the Y value through linear regression analysis; and displaying, to a user, an average value of the analyzed causal relationship between the X value and the Y value.(AA) Run chart of appraisal-related data collection and automatic calculation of regression analysis appraisal value(BB) Data collection(C) Filtering(DD) Processing(EE) 1. The determination of collection targets shall be determined by the unit of cities and provinces(FF) 2. For the search of collection targets, a search is carried out in an appraisal-related database which has been already in possession with respect to targets determined by collection target determination units(GG) 7. Destroying exceptionally processed data is an operation of destroying corresponding data in the new database without saving the same, when there is an omitted element for each filtering item(HH) 8. Storing the database is an operation of storing corresponding data in a new database, when there is no omitted element for each filtering item(II) 9. The regression analysis is an operation of arranging the areas of a land building and a separated building (private property) as an x value, and land building price and separated building price (private property price) as a y value, combining the effect of each predictive variable on a change in dependent variable values, and statistically verifying causality between the total assessed value of each private property and the price of private property and reflecting the same to the appraisal results.(JJ) 1. Determine collection targets(KK) 2. Search for the collection targets in data of an existing appraisal database(LL) 3. Draw the search results(MM) 4. Condition 1 : Omit an appraisal value(NN) 5. Condition 2 : Omit an appraisal base date(OO) 6. Condition 3 : Omit an address(PP) 7. Destroy exceptionally processed data(QQ) 8. Store a new database(RR) 9. Perform regression analysis(SS) 10. Draw an appraisal value automatic calculation resultCOPYRIGHT KIPO 2016