Real Estate Agent Performance Data

This dataset provides a comprehensive view of real estate agent performance, detailing property transactions, client engagement, and brokerage affiliations. It enables analysis of sales metrics, agent productivity, and client satisfaction, supporting data-driven decisions for brokerages and real estate organizations.

  • last updated 20 Aug 2025
  • by GoMask
The brief that made it

Benchmarking agent productivity and sales performance

Sample rows

preview · 8 of 201 rows · all 26 columns
agent_idstringtransaction_statusstringfeedback_ratingfloatproperty_address_countrystringagent_namestringagent_emailstringagent_phonestringbrokerage_idstringbrokerage_namestringproperty_idstringproperty_typestringproperty_address_streetstringproperty_address_citystringproperty_address_statestringproperty_address_postal_codestringsale_datedatesale_pricefloatlisting_datedatedays_on_marketintegerclient_idstringclient_namestringclient_emailstringclient_phonestringclient_typestringengagement_scorefloatcommission_amountfloat
AGT-001234completed4.8USAEmily Richardsonemily.richardson@westrealty.us+1-415-555-0192BRK-1001West Realty GroupPROP-100001residential2444 Oakwood AveSan FranciscoCA941102023-07-1810500002023-05-1564CLT-US-1001James Porterjporter.mail@gmail.com+1-415-555-2417buyer92.131500
A-UK-00235completed4.9UKOliver Bakeroliver.baker@londonhomes.co.uk+44 20 7946 0203BRK-UK-23London Homes Ltd.PROP-UK-2023commercial19 Fleet StreetLondonLondonEC4Y 1AA2024-04-0548000002024-03-1026CLT-UK-9981Margaret Evansm.evans@evansconsult.uk+44 20 7946 0311buyer97.5144000
AGT-FR-6578completed4.6FranceJean-Paul Moreaujp.moreau@parislogis.fr+33 1 44 55 66 77BRK-FR-12Paris LogisPROP-FR-2024residential77 Rue de RivoliParisÎle-de-France750042023-12-1013250002023-09-2576CLT-FR-388Lucie Bernardlucie.bernard@outlook.fr+33 6 84 94 34 29buyer85.626500
Z-JP-00393completed4.7JapanYuki Tanakayuki.tanaka@tokyorealty.jp+81-3-5555-1333BRK-JP-18Tokyo RealtyPROP-JP-8812commercial3-6-1 MarunouchiTokyoTokyo100-00052024-02-1874000002023-12-2060CLT-JP-9392Haruka Satohsato@softbank.jp+81-90-5555-3333buyer93.7185000
AGT-005612completed3.9IndiaPriya Nairpriya.nair@indiahomes.in+91-80-2222-5566BRK-IN-88India HomesPROP-IN-2033residential101 MG RoadBangaloreKarnataka5600012023-09-302150002023-08-1645CLT-IN-9982Rakesh Mehtarakesh.mehta@gmail.com+91-98450-12345seller72.24500
A-DE-00245completed4.5GermanyStefan Müllers.mueller@berlinimmobilien.de+49 30 12345678BRK-DE-21Berlin ImmobilienPROP-DE-2003commercialAlexanderplatz 5BerlinBerlin101782023-11-0121000002023-10-0131CLT-DE-2001Klaus Breuerk.breuer@breuerconsult.de+49 171 2345678buyer88.942000
AGT-001678completed4.9ItalyJulia Lombardijulia.lombardi@milanoimm.it+39 02 5555 1234BRK-IT-30Milano ImmobiliarePROP-IT-9900residentialVia Roma 11MilanLombardia201212024-03-2232000002024-01-1963CLT-IT-2055Marco Rossimarco.rossi@libero.it+39 334 1122334buyer95.196000
AGT-002145completed3.7RussiaDmitry Vasilievdmitry.vasiliev@mosre.ru+7 495 123-4567BRK-RU-12Moscow Real EstatePROP-RU-4402landLenina Prospekt 33MoscowMoscow1193342023-10-121400002023-08-0271CLT-RU-9912Ekaterina Petrovaekaterina.pet@bk.ru+7 916 7654321seller62.82800

What the 201 rows show

from the 201-row sample

Completed (transaction status) stands out: mean feedback_rating is 4.2, against 1.1 for the rest.

  • 4.4median feedback_rating
  • 2client types
  • 4property types
  • 765,000median sale_price
  • 50median days_on_market
  • 80.8median engagement_score
Mean feedback_rating by transaction_status201 rows
0484.2completed177 rows1.1cancelled24 rows
feedback_rating201 rows, in bands of 0.5
05010022271812103496135feedback_rating →

Median 4.4, from 1.0 to 5.0.

property_address_country201 rows · top 10 of 27 values
  1. USA30
  2. India22
  3. France18
  4. Russia18
  5. Germany17
  6. UK14
  7. Italy14
  8. Japan11
  9. Czech Republic11
  10. China7
26 columns by typefrom the column list below
  • string 19
  • integer 1
  • float 4
  • date 2

Columns

26 columns in three groups
blueprint · 26 columns
columntypedescriptionexample
Text 19 columns
agent_idstringUnique identifier for the real estate agentuniqueAGT-001234
agent_namestringFull name of the real estate agentEmily Richardson
agent_emailstringEmail address of the agentuniquejp.moreau@parislogis.fr
agent_phonestringContact phone number of the agentoptional+1-415-555-0192
brokerage_idstringUnique identifier for the brokerage firmBRK-1001
brokerage_namestringName of the brokerage firmWest Realty Group
property_idstringUnique identifier for the property sold or listedPROP-100001
property_typestringType of property (e.g., residential, commercial, land)residential · commercial · land · otherresidential
property_address_streetstringStreet address of the property2444 Oakwood Ave
property_address_citystringCity where the property is locatedSan Francisco
property_address_statestringState where the property is locatedCA
property_address_postal_codestringPostal code of the property location94110
property_address_countrystringCountry where the property is locatedUSA
client_idstringUnique identifier for the client involved in the transactionCLT-US-1001
client_namestringFull name of the clientJames Porter
client_emailstringEmail address of the clientoptionaljporter.mail@gmail.com
client_phonestringContact phone number of the clientoptional+1-415-555-2417
client_typestringType of client (buyer or seller)buyer · sellerbuyer
transaction_statusstringStatus of the transaction (completed, pending, cancelled)completed · pending · cancelledcompleted
Numbers 5 columns
sale_pricefloatFinal sale price of the property0 or more1050000
days_on_marketintegerNumber of days the property was listed before sale0 or more64
engagement_scorefloatNumerical score representing agent's engagement with the client (e.g., based on communication frequency, responsiveness)0 to 100 · optional92.1
feedback_ratingfloatClient's feedback rating for the agent (e.g., 1-5 scale)1 to 5 · optional4.8
commission_amountfloatCommission earned by the agent for the transaction0 or more31500
Dates and times 2 columns
sale_datedateDate when the property was sold2023-07-18
listing_datedateDate when the property was listed2023-05-15

Use it for

  • median feedbac…4.4201 rowsmean feedback rating …4.2comple…1.1cancel…

    A real estate dashboard

    Feedback_rating by transaction_status and a breakdown of property_address_country. Excel, Power BI or Tableau.

  • Why do the 177 completed rows have a mean feedback_rating of 4.2?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable agents with agent_name, agent_email and agent_phone to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 26 columns, your size and your rules. See 20 rows before you pay.

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This dataset201 rows26 columns
Yours1,000 rows26 columnsproperty_address_street: UK only

blueprint · real-estate-agent-performance-data

Behind this dataset

Same schema. As many rows as you need.

These 201 rows came out of a blueprint — 26 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Record agent ID and property transactions
  • Include client feedback ratings
  • Flag top-performing agents
  • Exclude inactive agents
Rows
Open the blueprint in Data Factory

1 credit per row. Preview 20 rows free. Buy rows for the full run.

Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
real-estate-agent-performance-data

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