Dataset

This dataset was created by Allan Kirwa

Released under Apache 2.0

Contents

Residential Property Prices in Mexico increased 8.71 percent in June of 2025 over the same month in the previous year. This dataset includes a chart with historical data for Mexico Residential Property Prices.

Key information about House Prices Growth

• Mexico house prices grew 8.9% YoY in Sep 2025, following an increase of 8.7% YoY in the previous quarter.
• YoY growth data is updated quarterly, available from Mar 2006 to Sep 2025, with an average growth rate of 10.2%.
• House price data reached an all-time high of 11.7% in Mar 2023 and a record low of 2.2% in Jun 2010.

Houses.csv - Web scraping was performed on https://propiedades.com/mexicali/casas-venta?pagina=1#remates=2 with the filters: Sale; Houses

mxl.shp - Population data were obtained from CONAPO's portal in the actions and programs of CONAPO in the actions and programs section. Marginalization in Mexico: https://www.gob.mx/conapo/acciones-y-programas/marginacion-en-mexico. A reshape of the map was downloaded and modified from Mexico's Open Data page. Zip Code Location Map for Baja California: https://datos.gob.mx/busca/dataset/ubicacion-de-codigos-postales-en-mexico/resource/39217bc6-f30b-429b-a4ba-4e2e5eea1a6d

Web scraped listing price data for Mexico City for the year 2018

Average House Price: Mexico City data was reported at 3,087,111.000 MXN in Mar 2019. This records an increase from the previous number of 1,479,381.000 MXN for Dec 2018. Average House Price: Mexico City data is updated quarterly, averaging 1,462,320.000 MXN from Dec 2014 (Median) to Mar 2019, with 18 observations. The data reached an all-time high of 3,087,111.000 MXN in Mar 2019 and a record low of 1,352,679.000 MXN in Dec 2014. Average House Price: Mexico City data remains active status in CEIC and is reported by Federal Mortgage Society. The data is categorized under Global Database’s Mexico – Table MX.EB005: Average House Price.

Dataset

This dataset was created by Zergham Warraich

Released under CC0: Public Domain

Contents

Mexico Average House Price: Nuevo Leon data was reported at 1,026,287.000 MXN in Mar 2019. This records an increase from the previous number of 750,824.000 MXN for Dec 2018. Mexico Average House Price: Nuevo Leon data is updated quarterly, averaging 696,667.000 MXN from Dec 2014 (Median) to Mar 2019, with 18 observations. The data reached an all-time high of 1,026,287.000 MXN in Mar 2019 and a record low of 546,745.000 MXN in Dec 2014. Mexico Average House Price: Nuevo Leon data remains active status in CEIC and is reported by Federal Mortgage Society. The data is categorized under Global Database’s Mexico – Table MX.EB005: Average House Price.

Introduction

This Mexican Spanish 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 Spanish -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 Mexican Spanish 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 Spanish 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:

Mexico Average House Price: Baja California data was reported at 903,598.000 MXN in Mar 2019. This records an increase from the previous number of 720,437.000 MXN for Dec 2018. Mexico Average House Price: Baja California data is updated quarterly, averaging 658,724.000 MXN from Dec 2014 (Median) to Mar 2019, with 18 observations. The data reached an all-time high of 903,598.000 MXN in Mar 2019 and a record low of 562,050.000 MXN in Dec 2014. Mexico Average House Price: Baja California data remains active status in CEIC and is reported by Federal Mortgage Society. The data is categorized under Global Database’s Mexico – Table MX.EB005: Average House Price.

Mexico House Price Index: Nuevo Leon data was reported at 116.000 2017=100 in Mar 2019. This records an increase from the previous number of 113.400 2017=100 for Dec 2018. Mexico House Price Index: Nuevo Leon data is updated quarterly, averaging 73.900 2017=100 from Mar 2005 (Median) to Mar 2019, with 57 observations. The data reached an all-time high of 116.000 2017=100 in Mar 2019 and a record low of 50.900 2017=100 in Mar 2005. Mexico House Price Index: Nuevo Leon data remains active status in CEIC and is reported by Federal Mortgage Society. The data is categorized under Global Database’s Mexico – Table MX.EB007: House Price Index: by State: 2017=100.

Introduction

Introducing the Mexican Spanish Scripted Monologue Speech Dataset for the Real Estate Domain, a dataset designed to support the development of Spanish speech recognition and conversational AI technologies tailored for the real estate industry.

Speech Data

This dataset includes over 6,000 high-quality scripted prompt recordings in Mexican Spanish. The speech content reflects a wide range of real estate interactions to help build intelligent, domain-specific customer support systems and speech-enabled tools.

Topic and Scenario Coverage

This dataset captures a broad spectrum of use cases and conversational themes within the real estate sector, such as:

Contextual Depth

Each scripted prompt incorporates key elements to simulate realistic real estate conversations:

Transcription

To ensure precision in model training, each audio recording is paired with a verbatim text transcription:

Metadata

Each data sample is enriched with detailed metadata to enhance usability:

I am a beginner in data science. also, I tried web scraping for priced houses in Toluca (Mexico) with BeatifulSoup. I hope you can practice your skills with this dataset. I hope received any feedback on this, thank you