vdpR Wertindikation

vdpResearch
API Geodata

Market coverage

  • Germany
  • Automated property valuation

  • Reliable data source

  • Revision safe

  • Valid results

  • Fast and efficient

With its vdpR value indication, vdpResearch provides interested parties with a reliable instrument for determining the market value and mortgage lending value of residential real estate. The user receives a reliable value indication within a few seconds after entering the main object data: address, property and living space, year of construction, type of construction and type of house. It also provides relevant information on equipment and its condition.

Depending on the type of property, BelWertV-compliant valuation methods are used to determine the value indication, based on empirically derived nationwide comparable assessment parameters. Data is founded on scientific evaluations of the vdpR transaction database in connection with other valuable indicators and parameters.

  • Valid value indications by means of few inputs
  • Automatic orientation
  • Lending value-compliant valuation system
  • Nationwide available data
  • Transaction data-based evaluations

In order to obtain an indication of the market value and / or mortgage lending value, the customer sends necessary information about the property to be valued to vdpResearch. This includes address, land area, living space, year of construction, construction and type of house. The assessment of the situation is determined automatically from “excellent” to “catastrophic”. In addition, the customer must provide information on any additional value-related items and their condition for example, garages, parking spaces or details of a specific refurbishment.

After successful transmission of the required information to vdpReserach, a BelWertV-compliant market and / or mortgage lending value is calculated automatically. This value indication is displayed to the customer immediately.

The API product vdpR Wertindikation is provided to the customer using a service interface. This is  connected to the ndgit API Platform via a secure SSL connection. Availability is given when the services are active. SLAs and response times are provided in accordance with the ndgit framework contract. For data centre services, an annual average availability of 99.5% is guaranteed.

INPUT/Request

Mandatory fields and optional fields:

  • Object number: Object number
  • Client number: Client number
  • Client number2: Client number, if applicable, subcategory such as RZBK, branch, etc.
  • Street name: Street and house number are 2 fields, CAN also be sent in one field. Quality of high quality are but 2 fields.
  • House number: Giving the house number e.g. 12 or 14f or 14/16
  • Postal code: German postal code, 4-5 digits
  • Place name: Place in Germany
  • Development area: Yes or No or 0 or 1
  • Reference road: Street name (nearby road near a development area)
  • Object type:
    • Detached house detached (= 1)
    • EFH with separate apartment (11)
    • Two-family house (2)
    • Semi-detached house (3)
    • Row house (4)
    • Terraced house (5)
    • Condominium (suitable for own use) (21)
    • Condominium (non-self-interested) (22)
  • Year of construction: YYYY
  • Construction:
    • Solid (1)
    • Prefabricated construction (solid) (2)
    • Prefabricated construction (wood) (3)
    • Low energy house (4)
    • Passive House (5)
    • 0 energy house (6)
    • Panel construction (7)
  • Living area: Living space; rounded to integer (also decimal 10.2 possible)
  • Of which leased: Living space rented; rounded to integer (also decimal 10.2 possible)
  • Land Area: Property area in QM at ETW not available
  • House type:
    • Basement, ground floor, attic (built on) (111)
    • Basement, ground floor, attic (not included) (113)
    • Basement, ground floor, flat roof (114)
    • Basement, ground floor, first floor, attic (built-in) (121)
    • Basement, ground floor, first floor, attic (not furnished) (123)
    • Basement, ground floor, first floor, flat roof (124)
    • Ground floor, attic (built-in) (311)
    • Ground floor, attic (not furnished) (313)
    • Ground floor, flat roof (314)
    • Ground floor, first floor, attic (developed) (321)
    • Ground floor, first floor, attic (not furnished) (323)
    • Ground floor, first floor, flat roof (324)
  • Garagen type 1:
    • Garage (1)
    • Double garage (2)
    • Underground parking (3)
    • Duplex parking spaces (6)
    • Pitches (4)
    • Carports (5)
  • Number of garages1: Number of garages (pieces)
  • Garage type 2:
    • Garage (1)
    • Double garage (2)
    • Underground parking (3)
    • Duplex parking spaces (6)
    • Pitches (4)
    • Carports (5)
  • Number of garages 2: Number of garages (pieces)
  • Purchase price: Purchase price in EUR
  • Date of purchase price: Date of purchase
  • Domestic equipment:
    • Bad (9)
    • Moderate (7)
    • Mean(5)
    • Good (3)
    • Very good (1)
  • State:
    • Bad (9)
    • Moderate (7)
    • Mean(5)
    • Good (3)
    • Very good (1)

OUTPUT/Response

  • Mark value: Mark value
  • Mark value ProQM: Mark value / QM
  • Mortgage lending value: Mortgage lending value
  • Mortgage lending value ProQM: Mortgage lending value / QM
  • Location: Assessment Scale 1-10 (1 = excellent to 10 = catastrophic)

About the provider

For more than ten years, vdpResearch has created transparency in the German banking industry as a subsidiary of various leading German financial sector associations.

The main focus of its activities are:

  • Recording, analysis and forecasting of regional real estate markets in Germany and selected regions abroad. The focus is on both the residential and commercial real estate markets.
  • Calculation of the vdp real estate price indices. The quarterly transaction-based rental and price indices depict the development of the residential and commercial real estate market in Germany.
  • Provision of object-related valuation parameters and comparison prices or comparable rents for market and lending value determination. This covers the entire federal territory and because data is calculated according to a uniform procedure, it is comprehensively comparable.
  • Provision of BelWertV-compliant valuation programs for all property types. Depending on the object type, the program uses the tangible, comparative value or income value approach.

The results and developed products determined by vdpResearch are today an essential building block in many banks for assessing market and property risks.