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Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de Compostela, Spain October 19-20; 2006

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Page 1: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Automated Valuation Models for Mass Valuation Purpose in Latvia

Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes,

Santiago de Compostela, Spain

October 19-20; 2006

Page 2: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

General Data

Geography:Location: Eastern Europe, bordering the Baltic Sea, between Estonia and Lithuania.Area: 64 100 sq. km. (25 640 sq. mi.)Terrain: Fertile low-lying plains predominate in central Latvia, highlands in Vidzeme and Latgale to the east, and hilly moraine in the western Kurzeme region. Forests cover one-third of the country, with over 3 000 small lakes and numerous bogs.

People:Nationality: Latvian's.Population: 2.33 million.

Capital:Riga (740 000)Other Cities: Daugavpils (113 000); Liepaja (87 000); Jelgava (66 000); Jurmala (55 000); Ventspils (44 000); Rezekne (38 000).

Page 3: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

State Real Estate Cadastre Information System (Cadastre) Number of objects in Cadastre (on 01.09.2006):

Real property objects: land units ~ 950 000 constructions ~ 1 350 100 groups of premises ~ 1 652 400

Real estate: land estate (land with buildings incl.) ~ 676 000 building estate (land for rent) ~ 37 800 apartment properties ~ 532 500

Page 4: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Development of Mass (Cadastral) Valuation in Latvia (1) After restitution of independence (1990), enforcement

of land reform took place in Latvia: main tasks of land reform – restitution of property

rights (for real owners and their inheritors); restitution of property rights has constitute ground

for development of land valuation principles. Until the year 1994 – cadastral valuation (agricultural

land) and inventory of buildings and structures (replacement of building costs) has based on formerly applied approaches (valuation methods).

From the year 1994 – introduction of new, on the market data based approach for valuation of urban land (land value zonings).

Page 5: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Development of Mass (Cadastral) Valuation in Latvia (2) In 1997 – first mass valuation took place for the purpose

of real property taxation. From the year 1998 Law “On Real Property Tax” became

into force, and mass valuation procedure obtained obligatory status.

In the year 2000 – valuation of buildings took place for cadastral valuation purposes.

Until the year 2006 – updating of cadastral values take place for municipal units (towns and rural municipalities) and groups of objects of valuation (land, buildings).

From the year 2006 Law “On Cadastre” became in to force for regulation of Cadastre system, included cadastral valuation (first law on Cadastre after gaining of independence and starting point for transition period of existed cadastral valuation system).

Page 6: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Legal Framework

Cadastral (mass) valuation:

Law “On Cadastre" – into force since January 1st, 2006;

Regulations of Cabinet of Ministers “Regulations on Cadastral Valuation” – Regulations # 305; April 18th ; 2006.

Page 7: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Procedures

Procedure of cadastral valuation:

State Land Service (SLS) – responsible institution for cadastral valuation of real property (development of value zonings and determination of indexes of cadastral value basis – base values and correction coefficients);

Cabinet of Ministers – conforms value zonings and cadastral valuation indexes;

SLS – automated valuation according data of Cadastre (all registered objects).

Page 8: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Work Organization (SLS)

Organization of procedures take place in three levels:

Central unit – development of methodic and models, analysis of market data (for all country), participation in development of cadastral valuation indexes, management of cadastral valuation process in general;

Regional centers (8) – coordination of cadastral valuation process in local level (bureaus);

Bureaus (28) – development of value zonings (local administrative units) and participation in the development of cadastral valuation indexes.

Page 9: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Software

Collection and processing of market data – special program on the platform of Oracle: for data collection – online processing transactions

data base (OLTP); for data processing – online analytical processing data

base (OLAP), Oracle Discoverer. For statistic processing of data – “Statistical Package

for the Social Sciences” (SPSS). For testing of indexes of cadastral valuation – special

software on the Oracle platform; for data processing – OLAP data base, Oracle Discoverer.

Automated valuation of objects – all models are integrated in Cadastre System (special software, on the Oracle platform).

Page 10: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Development and Testing of Valuation Models Determination of characteristic data of valuation

objects which theoretically have impact on value according comparable (similar) objects in Cadastre System;

Creation of experimental model of valuation;

Determination impact of used factors according methods of statistic analysis;

Testing of cadastral valuation indexes (basic values, correction coefficients etc.);

Regular testing of cadastral valuation indexes (take place after valuation of all objects).

Page 11: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Determination of Indexes for the Purpose of

Cadastral Valuation until the year 2006 Development of cadastral valuation indexes and

value zonings took place for all groups of valuation objects within administrative units (urban and rural).

Problems: cadastral valuation indexes and value zonings are

developed for particular municipalities and whole state is not treated in the same time:

unequal situation between municipalities; discrepancy with real estate market.

cadastral valuation indexes of land and building are developed not in the same time;

special development proposal is needed – prescribed procedure;

municipalities have wide possibilities to affect results – procedure of conforming.

Page 12: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Determination of Indexes for the Purpose of Cadastral Valuation after the year 2006

Regular (each 4th year) determination of cadastral valuation indexes take place for specific valuation objects (type of property) in the same time for land and buildings: For rural properties – development of zonings of agricultural

land and forest land – on the first time in the year 2007; Residential properties – development of residential properties

zonings – on the first time in the year 2007; Industrial type of property – development of industrial properties

zonings (as well as determination of indexes for engineering structures) – on the first time in the year 2008;

Commercial and public property – development of commercial properties zonings – on the first time in the year 2009.

Estimation of real estate market correction coefficients will take place after two year time period for each developed value zoning (other indexes will remain unchanged).

Page 13: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Methods of Valuation

To determinate indexes for cadastral valuation purposes are used internationally well-known methods of valuation: Sales comparison method –

the most applicable method – for valuation of land for construction and agricultural properties; as well as for development of cadastral valuation basis for building cadastral valuation;

Income (capitalization) approach –for development of cadastral valuation basis of forest land;

Coast approach method –for development of cadastral valuation basic values of buildings and engineering structures.

Page 14: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Applicable Information

For development of indexes of cadastral valuation and value zonings: Real estate market data (sales and rent information,

construction costs, supply and demands, market trends and activity);

Undirected information – main factors of impact on sales prices (on the basis of market data analysis);

Local territorial plans and detail plans, other information regarding infrastructure development;

Information of legal acts (borders of preservation areas, nature preservation areas);

For mutual comparison of municipalities – social economic information of the specific municipality, statistics – unemployment, number of economic active population, demographic data etc.

Page 15: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Application of Market Information

Regular updating of data base (actual information): real estate market data from Land Book Register (legal

agreements); characteristic data from Cadastre System.

All developments – based on the real estate market information (for the time period no less than 2 years).

Selection of data for development of cadastral valuation indexes: mathematic approach – for separation of untypical data; individual approach – manual evaluation of data and

comparison of data with accessible information.

Page 16: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Object of Valuation

Land – according use of the land: Land for construction purpose – 9 groups, incl.:

Land for single residential houses; Land for multilevel residential buildings; Land for construction of commercial objects; Land for industrial objects.

Rural (agricultural) land – 3 groups, incl.: Agricultural (arable) land; Forest land; Land under waters.

Buildings – 105 types of buildings (9 groups);

Engineering Structures – 703 types (89 groups);

Real property.

Page 17: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Land for Construction (1)

Main factors of valuation of land for the construction purpose:

Land area (m2); Location (in the country, with in borders of

municipality); Restrictions of land use; Use of real property (land use type).

Page 18: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Land for Construction (2)

Algorithm (formula) for calculation of cadastral value:

Kv – cadastral value (in Latvia's currency, lats; Ls);

Bv – basic value of land for construction use (Ls/m2);

PLM – area of land use type (m2);

Ksamaz – correction coefficient of area;

KT – market correction coefficient;

Kapg – correction coefficient of impact of restrictions;

Kp – correction coefficient of pollution.

PapgrTsamazLM KKKKPBvKv )(

Page 19: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Land Value Level of Residential Land in Riga (Capital City of Latvia)

Page 20: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Agricultural and Forest Land (1)

Main factors of valuation of agricultural and forest land:

Land area (ha); Location (in the country, with in borders of municipality); Restrictions of land use; Land use type; Division of land use types (with in limits of the property); Quality of agricultural land (natural fertility, amelioration,

conditions for mechanic cultivation); Quality of forest land (type of natural growth – natural

fertility, wetness) Possibilities of construction of buildings (or existed

buildings).

Page 21: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Agricultural and Forest Land (2)

Algorithm (formula) for calculation of cadastral value:

Kv – cadastral value (in Ls);PLIZ – area of arable land (in ha);Bvliz – basic value for agricultural land (Ls/ha);PM – area of forest land (ha);BvM – basic value for agricultural land (Ls/ha);PP_Z – area of other land (in ha);P*P_D – land under ponds and yards (in hectares);Bv*LIZ – basic value of fertility of land (within limit of 3 groups); (Ls/ha);b – indication regarding residential housing;b = 1 – if there is one residential building;b = 0 – if there are no constructions;Cmaja – constant coefficient of housing impact;Kapg – correction coefficient of restrictions;Kp – correction coefficient of pollution;KT – market correction coefficient.

TpapgrmajaLIZ

DPZPMMlizLIZ

KKKCbBv

PPBvPBvPKv

)*

*)2.0((*

*__

Page 22: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Land Value Levels of Agricultural Land

Page 23: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Land Value Level of Forest Land

Page 24: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Buildings (1)

Main factors of valuation of buildings:

Size (m2; m3); Location (in the country, with in limits of

municipality); Restrictions of use; Type of building; Physical conditions.

Page 25: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Buildings (2)

Algorithm (formula) for calculation of cadastral value:

ĒKV – cadastral value (in Ls);

ĒBv – basic value for type of building (regarding size of building);A – size of building (in m2 or m3);

KS – correction coefficient of physical condition of building;

Kkor – correction coefficient of size impact;

Kli – correction coefficient of restriction impact;

KT – market correction coefficient.

TlikorSBvKV KKKKAĒĒ

Page 26: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Land Value Level of Residential Buildings

Page 27: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Engineering Structures (1)

Main factors of valuation of engineering structures: Size; Location (in the country; with in limit of

municipality); Type of engineering structure; Physical condition.

Page 28: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Engineering Structures (2)

Algorithm (formula) for calculation of cadastral value:

IBKV – cadastral value (in Ls);IBBv – basic value for the type of engineering structure;A – size parameter;KS – correction coefficient of physical conditionKT – market correction coefficient.

TSBvKV KKAIBIB )(

Page 29: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Real Property

Cadastral value of real property can be estimated as a sum of cadastral values of related objects (land, located buildings and engineering structures).

Cadastral value of apartment can be estimated as a proportional part from sum of cadastral values of building, land under building and related functional buildings.

Page 30: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Accessibility of Information

Value zonings and indexes of cadastral value basis of all municipal units are accessible in website of SLS www.vzd.gov.lv.

Page 31: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Application of Cadastral Value

For real property taxation (main task); For stamp fees (Land Book fee, inheritance

fee etc.); For land rent (in cases of enforced rent); For privatization of land under constructions; For rent of unprivatized rural state and

municipal land; For estimation of value of comparable land; For enforcement of land reform (estimation of

number of vouchers).

Page 32: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Future Development

Improvement of graphic data of value zoning maps (for the purpose of automatic zoning updating) – In present automated zoning updating take

place once a year (other time manual work); Digitization of fertility maps (agricultural land) –

development of data basis – In present all actions are manual;

Improvement of valuation model of residential houses (additional characteristics – well equipped, etc) – In present there are some empty windows in

Cadastre (no information or registration is not completely done).

Improvement of graphic information of market data (automatic maps of transactions) – In present all market data maps are manual.

Page 33: Automated Valuation Models for Mass Valuation Purpose in Latvia Workshop On Automated Valuation Models Of Real Estate For Cadastre Purposes, Santiago de

Thank You for attention!

Questions please!

Martins Lazdovskis

[email protected]

[email protected]

www.vzd.gov.lv