Comparable sales: What have similar properties been sold for?

Recent sales of nearby properties that resemble the one you are assessing, ranked by similarity, with distance and price per square metre, the basis a valuation builds on.

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• Test in under a minute
• One GET call
• Norway and Sweden
• Ranked by similarity
• Price per square metre

info

The Placepoint API is under development. This endpoint does not respond yet, and we have no date for when it will.

From one sale to comparable sales

The call answers what similar properties in the area have actually been sold for. Brokers use it for asking prices, banks use it to quality assure a valuation, and analysts use it to see whether a single price is representative of the area.

Each hit has the same fields as an ordinary transaction, plus distance from the property, price per square metre and a similarity score. The list is ranked by similarity, not by date, so the most relevant sale sits at the top even when it is not the most recent.

• Ranked by similarity, not date

  The most relevant sale sits at the top even when it is not the most recent, unlike a transaction list sorted on date alone.

• Distance and similarity score on every hit

  distanceM and similarity come with every hit, so you do not have to rebuild a manual comparison.

• Same fields as a transaction, plus more

  Each hit has all the fields from Transactions, plus distance, price per square metre and similarity score in the same call.

Fields that actually tell you something

One GET call with the matrikkel number gives you the list below, most similar first.

GET/properties/{country}/{cadastreId}/comparable-transactions

curl -X GET "https://data.placepoint.no/properties/NO/0301-209-369-0-0/comparable-transactions" \
  -H "Authorization: Bearer $TOKEN"

svar · 200

{
  "items": [
    {
      "id": "txn_c19d2b",
      "registeredAt": "2023-11-02T00:00:00Z",
      "kind": "SALE",
      "price": {
        "amount": "11800000.00",
        "currency": "NOK"
      },
      "share": {
        "numerator": 1,
        "denominator": 1
      },
      "buyers": [
        {
          "kind": "ORGANIZATION",
          "organization": {
            "organizationIdentifier": {
              "country": "NO",
              "id": "911222333"
            },
            "name": "Bjorvika Bolig AS",
            "country": "NO"
          },
          "share": {
            "numerator": 1,
            "denominator": 1
          },
          "registeredAt": "2023-11-02T00:00:00Z"
        }
      ],
      "sellers": [
        {
          "kind": "PERSON",
          "person": {
            "birthYear": 1972
          },
          "share": {
            "numerator": 1,
            "denominator": 1
          },
          "registeredAt": "2023-11-02T00:00:00Z"
        }
      ],
      "source": "KARTVERKET_TINGLYSING",
      "distanceM": 180,
      "pricePerM2": {
        "amount": "159459.00",
        "currency": "NOK"
      },
      "similarity": 0.86
    }
  ]
}

Scope: property:readTeknisk referanse og Try-it

Vis alle felt (56)

Felt	Type	Beskrivelse
items[].id	string	Transaction identifier.
items[].registeredAt	string	When the transaction was recorded (tinglyst).
items[].kind	string	Transaction type.
items[].price.amount	string	Decimal string, e.g. "12500000.00".
items[].price.currency	string	ISO 4217, e.g. NOK or SEK.
items[].share.numerator	integer	Numerator.
items[].share.denominator	integer	Denominator.
items[].buyers[].kind	string	Which nested object is populated.
items[].buyers[].person.name	string	Full name.
items[].buyers[].person.birthYear	integer	Year of birth.
items[].buyers[].organization.organizationIdentifier.country	string	ISO 3166-1 alpha-2 country code of the register. NO is Brønnøysundregistrene, SE is Bolagsverket.
items[].buyers[].organization.organizationIdentifier.id	string	Register identifier.
items[].buyers[].organization.name	string	Registered name.
items[].buyers[].organization.country	string	ISO 3166-1 alpha-2.
items[].buyers[].organization.links[].href	string	Absolute URL.
items[].buyers[].organization.links[].title	string	Human label.
items[].buyers[].share.numerator	integer	Numerator.
items[].buyers[].share.denominator	integer	Denominator.
items[].buyers[].registeredAt	string	When the register recorded it.
items[].buyers[].interestType	string	The interest the grunnbok records, e.g. Hjemmelshaver or Fester.
items[].buyers[].contactRole	string	Registered contact role, where the party is recorded as a contact rather than a holder.
items[].buyers[].untilDate	string	When the interest ended. Absent means the interest is current, which is the only way to tell a former owner from a present one.
items[].sellers[].kind	string	Which nested object is populated.
items[].sellers[].person.name	string	Full name.
items[].sellers[].person.birthYear	integer	Year of birth.
items[].sellers[].organization.organizationIdentifier.country	string	ISO 3166-1 alpha-2 country code of the register. NO is Brønnøysundregistrene, SE is Bolagsverket.
items[].sellers[].organization.organizationIdentifier.id	string	Register identifier.
items[].sellers[].organization.name	string	Registered name.
items[].sellers[].organization.country	string	ISO 3166-1 alpha-2.
items[].sellers[].organization.links[].href	string	Absolute URL.
items[].sellers[].organization.links[].title	string	Human label.
items[].sellers[].share.numerator	integer	Numerator.
items[].sellers[].share.denominator	integer	Denominator.
items[].sellers[].registeredAt	string	When the register recorded it.
items[].sellers[].interestType	string	The interest the grunnbok records, e.g. Hjemmelshaver or Fester.
items[].sellers[].contactRole	string	Registered contact role, where the party is recorded as a contact rather than a holder.
items[].sellers[].untilDate	string	When the interest ended. Absent means the interest is current, which is the only way to tell a former owner from a present one.
items[].source	string	Register behind the transaction: KARTVERKET_TINGLYSING for Norway, LANTMATERIET for Sweden.
items[].sectionNumber	string	The section transferred, where the transaction covers one eierseksjon.
items[].documentNumber	string	Document number in the register.
items[].documentYear	integer	Document year in the register.
items[].transferTax.amount	string	Decimal string, e.g. "12500000.00".
items[].transferTax.currency	string	ISO 4217, e.g. NOK or SEK.
items[].registrationFee.amount	string	Decimal string, e.g. "12500000.00".
items[].registrationFee.currency	string	ISO 4217, e.g. NOK or SEK.
items[].advertisedOnOpenMarket	boolean	Whether the register records the sale as advertised on the open market.
items[].instrumentType	string	The legal instrument behind the transfer, e.g. Skjøte. Narrower than kind, which groups instruments into transaction types.
items[].documentStatusCode	string	Register status code for the document.
items[].transferTaxBasis.amount	string	Decimal string, e.g. "12500000.00".
items[].transferTaxBasis.currency	string	ISO 4217, e.g. NOK or SEK.
items[].transferTaxReason	string	Registered reason for the transfer-tax treatment, e.g. an exemption.
items[].isHistorical	boolean	Whether the entry has been superseded by a later registration.
items[].distanceM	number	Distance from the subject property in meters.
items[].pricePerM2.amount	string	Decimal string, e.g. "12500000.00".
items[].pricePerM2.currency	string	ISO 4217, e.g. NOK or SEK.
items[].similarity	number	Similarity score, 0 to 1.

Test in under a minute

1. Log in with GitHub

   One click, under a minute, no payment card. The key comes back to this page.

2. Call the endpoint

   Replace $TOKEN in the curl command above. The call needs the country code and the matrikkel number of the property you are assessing.

3. Apply the response

   Use price per square metre and the similarity score to quality assure the asking price before you pass it on.

Data and sources

The underlying data is the same transactions as Transactions: Kartverket's Tinglysing (land registration) in Norway, Lantmäteriet via Combify in Sweden.

See also

• Analysis
• The Pricing Info map layer
• The price statistics report
• Technical reference
• Placepoint API

Questions and answers

How fresh is the data?

The underlying data is the same transactions as Transactions: Kartverket's Tinglysing in Norway, Lantmäteriet via Combify in Sweden, both updated continuously.

What do you cover?

Sales near the property you are assessing, ranked by similarity in type and size, not by geographical proximity alone.

Does it work in Sweden?

Yes, on the same basis as Transactions.

What about privacy?

Buyer and seller follow the same rule as Transactions: a person requires the person:read scope for the name, otherwise only the year of birth where it is known.

Find comparable sales

Recent nearby sales, ranked by similarity, with distance and price per square metre. Log in with GitHub at the top of the page to try it today, or get in touch for access to the whole country.

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