The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of real estate agents, brokers and appraisers (NAICS 53121) & offices of real estate appraisers (NAICS 53132), annual, for five years of data.

The industry expenses expressed in percentage of the total operating expenses, for real estate agents, brokers (North American Industry Classification System 53121), annual, two years of data.

The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), of real estate agents, brokers and appraisers (NAICS 53121) & offices of real estate appraisers (NAICS 53132), annual, for five years of data.

This dataset provides information on 24,116 in Canada as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

Introduction

This Canadian English Call Center Speech Dataset for the Real Estate industry is purpose-built to accelerate the development of speech recognition, spoken language understanding, and conversational AI systems tailored for English -speaking Real Estate customers. With over 30 hours of unscripted, real-world audio, this dataset captures authentic conversations between customers and real estate agents ideal for building robust ASR models.

Curated by FutureBeeAI, this dataset equips voice AI developers, real estate tech platforms, and NLP researchers with the data needed to create high-accuracy, production-ready models for property-focused use cases.

Speech Data

The dataset features 30 hours of dual-channel call center recordings between native Canadian English speakers. Captured in realistic real estate consultation and support contexts, these conversations span a wide array of property-related topics from inquiries to investment advice offering deep domain coverage for AI model development.

Topic Diversity

This speech corpus includes both inbound and outbound calls, featuring positive, neutral, and negative outcomes across a wide range of real estate scenarios.

Such domain-rich variety ensures model generalization across common real estate support conversations.

Transcription

All recordings are accompanied by precise, manually verified transcriptions in JSON format.

These transcriptions streamline ASR and NLP development for English real estate voice applications.

Metadata

Detailed metadata accompanies each participant and conversation:

This enables smart filtering, dialect-focused model training, and structured dataset exploration.

Usage and Applications

This dataset is ideal for voice AI and NLP systems built for the real estate sector:

Comprehensive dataset of 723 Commercial real estate agencies in Ontario, Canada as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This dataset provides information on 30 in Manitoba, Canada as of May, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

This table contains 616 series, with data for years 2006 - 2011 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...), North American Industry Classification System (NAICS) (22 items: Newspaper, periodical, book and directory publishers; Offices of real estate agents and brokers; Consumer goods rental; General rental centres; ...), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted).

This table contains 616 series, with data for years 2006 - 2011 (not all combinations necessarily have data for all years), and is no longer being released. This table contains data described by the following dimensions (Not all combinations are available): Geography (14 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...), North American Industry Classification System (NAICS) (22 items: Newspaper, periodical, book and directory publishers; Offices of real estate agents and brokers; Consumer goods rental; General rental centres; ...), Seasonal adjustment (2 items: Unadjusted; Seasonally adjusted).

RE/MAX Canada brokers and agents in 24 key markets across the country were asked to provide their analysis on local market activity and housing affordability trends for the first half of 2022. Toronto, ON and Kelowna, BC (July 20, 2022) — RE/MAX® Canada’s 2022 Housing Affordability Report reveals that 68 per cent of Canadians are willing to make at least one sacrifice to buy a home they can afford, according to a Leger survey commissioned by RE/MAX Canada. The most common concession is relocation, as identified by 64 per cent of survey respondents – a trend that continues to reign as a primary influence in local housing markets across the country, say RE/MAX brokers. This is followed by 56 per cent indicating they would be willing to sacrifice the type of home they purchased; purchasing a home under co-ownership with family and friends, as identified by 29 per cent of survey respondents; and renting a part of their home for additional income, at 27 per cent. According to the same Leger survey, 43 per cent of Canadians said the high price of real estate in their area was a barrier to entry into the market. This is up one per cent from last year. Other hurdles include a higher cost of living (35 per cent); a shortfall in salary (24 per cent, down two per cent from 2021); market volatility (24 per cent); and rising interest rates (24 per cent, up six per cent from 2021).