Sofia, Regina, and María José were the most popular female names in Mexico in 2022. During that year, over 260,000 female newborns were registered in the Aztec country.

Between 2017 and 2020, the most common last name registered in Mexico was Hernandez with over half a million cases, followed by Garcia and Martinez. Sofia was the most popular female name in Mexico in 2021, while Santiago was the most popular name for male newborns.

Mexico MX: Prevalence of Current Tobacco Use: Females: % of Female Adults data was reported at 6.900 % in 2022. This records a decrease from the previous number of 7.000 % for 2021. Mexico MX: Prevalence of Current Tobacco Use: Females: % of Female Adults data is updated yearly, averaging 8.750 % from Dec 2000 (Median) to 2022, with 8 observations. The data reached an all-time high of 12.000 % in 2000 and a record low of 6.900 % in 2022. Mexico MX: Prevalence of Current Tobacco Use: Females: % of Female Adults data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Social: Health Statistics. The percentage of the female population ages 15 years and over who currently use any tobacco product (smoked and/or smokeless tobacco) on a daily or non-daily basis. Tobacco products include cigarettes, pipes, cigars, cigarillos, waterpipes (hookah, shisha), bidis, kretek, heated tobacco products, and all forms of smokeless (oral and nasal) tobacco. Tobacco products exclude e-cigarettes (which do not contain tobacco), “e-cigars”, “e-hookahs”, JUUL and “e-pipes”. The rates are age-standardized to the WHO Standard Population.;World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.a.1 [https://unstats.un.org/sdgs/metadata/]. Previous indicator name: Smoking prevalence, females (% of adults) The previous indicator excluded smokeless tobacco use, while the current indicator includes it. The indicator name and definition were updated in December, 2020.

This horizontal bar chart displays female population (people) by country full name using the aggregation sum in Mexico. The data is filtered where the date is 2021. The data is about countries per year.

The SALA Spanish Mexican Database comprises 1260 Mexican speakers (554 males, 706 females) recorded over the Mexican fixed telephone network. This database is partitioned into 7 CD-ROMs The speech databases made within the SALA project were validated by SPEX, the Netherlands, to assess their compliance with the SALA format and content specifications.The speech files are stored as sequences of 8-bit, 8kHz A-law speech files and are not compressed, according to the specifications of SALA. Each prompt utterance is stored within a separate file and has an accompanying ASCII SAM label file.Each speaker uttered the following items: * 6 application words; * 1 sequence of 10 isolated digits; * 4 connected digits: 1 sheet number (6 digits), 1 telephone number (9-11 digits), 1 credit card number (14-16 digits), 1 PIN code (6 digits); * 3 dates: 1 spontaneous date (e.g. birthday), 1 prompted date (word style), 1 relative and general date expression; * 1 spotting phrase using an application word (embedded); * 1 isolated digit; * 3 spelled-out words (letter sequences): 1 spelling of surname; 1 spelling of directory assistance city name; 1 real/artificial name for coverage; * 1 currency money amount; * 1 natural number; * 5 directory assistance names: 1 surname (out of 500); 1 city of birth / growing up (spontaneous); 1 most frequent city (out of 500); 1 most frequent company/agency (out of 500); 1 "forename surname" (set of 150 ) * 2 questions, including "fuzzy" yes/no: 1 predominantly "yes" question, 1 predominantly "no" question; * 9 phonetically rich sentences; * 9 additional spontaneous items * 2 time phrases: 1 time of day (spontaneous), 1 time phrase (word style); * 4 phonetically rich words. The following age distribution has been obtained: 20 speakers are under 16 years old, 801 speakers are between 16 and 30, 291 speakers are between 31 and 45, 124 speakers are between 46 and 60, and 24 speakers are over 60. A phonetic lexicon with canonical transcriptions in SAMPA is also provided.

Introduction

The Mexican Spanish Scripted Monologue Speech Dataset for the General Domain is a carefully curated resource designed to support the development of Spanish language speech recognition systems. This dataset focuses on general-purpose conversational topics and is ideal for a wide range of AI applications requiring natural, domain-agnostic Spanish speech data.

Speech Data

This dataset features over 6,000 high-quality scripted monologue recordings in Mexican Spanish. The prompts span diverse real-life topics commonly encountered in general conversations and are intended to help train robust and accurate speech-enabled technologies.

Topic Coverage

The dataset covers a wide variety of general conversation scenarios, including:

Contextual Features

To enhance authenticity, the prompts include:

Each prompt is designed to reflect everyday use cases, making it suitable for developing generalized NLP and ASR solutions.

Transcription

Every audio file in the dataset is accompanied by a verbatim text transcription, ensuring accurate training and evaluation of speech models.

Metadata

Rich metadata is included for detailed filtering and analysis:

Applications & Use Cases

This dataset can power a variety of Spanish language AI technologies, including:

This horizontal bar chart displays proportion of seats held by women in national parliaments (%) by country full name using the aggregation average in Mexico. The data is filtered where the date is 2021. The data is about countries per year.

The SALA II Spanish from Mexico database collected in Mexico was recorded within the scope of the SALA II project.

The SALA II Spanish from Mexico database contains the recordings of 1,075 Mexican speakers (539 males and 536 females) recorded over the Mexican mobile telephone network.

The following acoustic conditions were selected as representative of a mobile user's environment:

* Passenger in moving car, railway, bus, etc. (155 speakers)
* Public place (279 speakers)
* Stationary pedestrian by road side (223 speakers)
* Home/office environment (364 speakers)
* Passenger in moving car using a hands-free kit (54 speakers) 

This database is distributed as 1 DVD-ROM The speech files are stored as sequences of 8-bit, 8kHz a-law speech files and are not compressed, according to the specifications of SALA II. Each prompt utterance is stored within a separate file and has an accompanying ASCII SAM label file.

This speech database was validated by SPEX (the Netherlands) to assess its compliance with the SALA II format and content specifications.

Each speaker uttered the following items:

* 6 application words
* 1 sequence of 10 isolated digits
* 4 connected digits (1 sheet number -6 digits, 1 telephone number -9/11 digits, 1 credit card number -14/16 digits, 1 PIN code -6 digits)
* 3 dates (1 spontaneous date e.g. birthday, 1 word style prompted date, 1 relative and general date expression)
* 2 spotting phrase using an embedded application word
* 2 isolated digits
* 3 spelled words (1surname, 1 directory assistance city name, 1 real/artificial name for coverage)
* 1 currency money amount
* 1 natural number
* 5 directory assistance names (1 surname out of a set of 500, 1 city of birth/growing up, 1 most frequent city out of a set of 500, 1 most frequent company/agency out of a set of 500, 1 "forename surname" out of a set of 150 )
* 2 yes/no questions (1 predominantly "yes" question, 1 predominantly "no" question)
* 9 phonetically rich sentences
* 2 time phrases (1 spontaneous time of day, 1word style time phrase)
* 4 phonetically rich words 

The following age distribution has been obtained: 7 speakers are under 16, 643 speakers are between 16 and 30, 248 speakers are between 31 and 45, 169 speakers are between 46 and 60, and 8 speakers are over 60.

A pronunciation lexicon with a phonemic transcription in SAMPA is also included.

Introduction

Welcome to the Mexican Spanish Scripted Monologue Speech Dataset for the Retail & E-commerce domain. This dataset is built to accelerate the development of Spanish language speech technologies especially for use in retail-focused automatic speech recognition (ASR), natural language processing (NLP), voicebots, and conversational AI applications.

Speech Data

This training dataset includes 6,000+ high-quality scripted audio recordings in Mexican Spanish, created to reflect real-world scenarios in the Retail & E-commerce sector. These prompts are tailored to improve the accuracy and robustness of customer-facing speech technologies.

Topic Diversity

This dataset includes a comprehensive set of retail-specific topics to ensure wide linguistic coverage for AI training:

Contextual Enrichment

To increase training utility, prompts include contextual data such as:

These additions help your models learn to recognize structured and unstructured retail-related speech.

Transcription

Every audio file is paired with a verbatim transcription, ensuring consistency and alignment for model training.

Metadata

Detailed metadata is included to support filtering, analysis, and model evaluation:

Introduction

The Mexican Spanish Scripted Monologue Speech Dataset for the Delivery & Logistics Domain is a meticulously curated resource developed to support Spanish language speech recognition technologies, with a focus on real-world delivery and logistics applications.

Speech Data

This dataset includes 6,000+ high-quality scripted monologue recordings in Mexican Spanish, crafted to simulate practical scenarios in the delivery and logistics industry. These prompts are ideal for building robust, domain-specific conversational AI and customer support systems.

Topic & Scenario Coverage

The dataset captures a wide variety of realistic delivery and logistics situations, including:

Linguistic Features

To simulate authentic conversations, prompts include:

Transcription

Each audio file is paired with a verbatim transcription, enhancing usability for training and validation:

Metadata

Comprehensive metadata accompanies every audio file and participant profile, supporting flexible filtering and model adaptation:

Introduction

Welcome to the Algerian Arabic Scripted Monologue Speech Dataset for the Travel domain, a carefully constructed resource created to support the development of Arabic speech recognition technologies, particularly for applications in travel, tourism, and customer service automation.

Speech Data

This training dataset features 6,000+ high-quality scripted prompt recordings in Algerian Arabic, crafted to simulate real-world Travel industry conversations. It’s ideal for building robust ASR systems, virtual assistants, and customer interaction tools.

Topic Coverage

The dataset includes a wide spectrum of travel-related interactions to reflect diverse real-world scenarios:

Context Elements

To boost contextual realism, the scripted prompts integrate frequently encountered travel terms and variables:

Transcription

Every audio file is paired with a verbatim transcription in .TXT format.

Metadata

Each audio file is enriched with detailed metadata to support advanced analytics and filtering:

This statistic presents the share and divorced, separated or widowed population in Mexico in the third quarter of 2016, broken down by gender and age. In the presented period, more than ** percent of women over 60 years old in Mexico were either divorced, separated or widowed, whereas only **** percent of men of the same age range had one of these marital status.