This statistic shows the biggest cities in Ecuador in 2022. In 2022, approximately **** million people lived in Guayaquil, making it the biggest city in Ecuador.

Actual value and historical data chart for Ecuador Population In Largest City

Ecuador EC: Population in Largest City data was reported at 2,844,281.000 Person in 2017. This records an increase from the previous number of 2,790,791.000 Person for 2016. Ecuador EC: Population in Largest City data is updated yearly, averaging 1,502,366.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2,844,281.000 Person in 2017 and a record low of 456,225.000 Person in 1960. Ecuador EC: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ecuador – Table EC.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

Ecuador EC: Population in Largest City: as % of Urban Population data was reported at 26.261 % in 2017. This records a decrease from the previous number of 26.292 % for 2016. Ecuador EC: Population in Largest City: as % of Urban Population data is updated yearly, averaging 28.257 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 30.401 % in 1963 and a record low of 26.261 % in 2017. Ecuador EC: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ecuador – Table EC.World Bank: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted Average;

Graph and download economic data for Geographical Outreach: Number of Automated Teller Machines (ATMs) in 3 Largest Cities for Ecuador (ECUFCACLNUM) from 2004 to 2015 about Ecuador, ATM, banks, and depository institutions.

This horizontal bar chart displays companies by city using the aggregation count in Ecuador. The data is about companies.

This statistic shows the total population of Ecuador from 2020 to 2022, with projections up until 2030. In 2022, the total population of Ecuador amounted to approximately 17.72 million inhabitants. Ecuador's population The population of Ecuador continues to increase slowly but steadily. In 2014, the total population of Ecuador amounted to around 16 million. Yet, the population growth rate has been decreasing slightly since 2008. This means that more people have died than were born and/or more people have migrated out of as opposed to into the country. The fertility rate has been decreasing as well; ten years ago the fertility rate stood at around 3 children per woman, but today it stands at around 2.5 children per woman. This decrease has likely caused the slump in the population growth rate, even though it still remains above the natural replacement rate of 2, causing the population to still grow overall. Further, Ecuador’s life expectancy is around 76 years nowadays, with the percentage of adults aged over 65 years being less than seven percent (451305). The population of Ecuador is quite young, with about a third of the population under 14 years of age. The population is spread all over the country: Guayaquil and Quito are the largest cities in Ecuador and home to close to 4 million people combined. All other cities are smaller and the majority of them inhabit less than 250,000 people.

Techsalerator’s Sound and Audio Data for Ecuador

Techsalerator’s Sound and Audio Data for Ecuador provides an essential and detailed collection of information crucial for businesses, researchers, and audio technology professionals. This dataset offers in-depth insights into Ecuador’s soundscape, including data on environmental noise, speech recognition, audio signals, and acoustic properties across various regions.

For access to the full dataset, contact us at info@techsalerator.com or visit Techsalerator Contact Us.

Techsalerator’s Sound and Audio Data for Ecuador

Techsalerator’s Sound and Audio Data for Ecuador offers a comprehensive dataset designed to support industries such as telecommunications, environmental monitoring, AI-driven speech technology, and audio engineering. This dataset delivers detailed insights into Ecuador’s sound and acoustic environment, helping businesses and researchers leverage sound data for various applications.

Top 5 Key Data Fields

• Location-Based Sound Levels – Captures noise pollution data from urban, suburban, and rural areas, helping businesses and government agencies assess environmental sound levels.
• Speech and Voice Recognition Data – Provides linguistic and dialect-specific voice recordings, essential for AI-powered voice assistants, call centers, and speech-to-text applications.
• Environmental and Industrial Noise – Documents industrial sound levels, traffic noise, and other environmental factors affecting public health and urban planning.
• Musical and Cultural Audio Samples – Contains recordings of traditional Ecuadorian music, festivals, and folk performances, valuable for media, entertainment, and academic research.
• Audio Signal Processing Data – Includes datasets of raw and processed audio signals used for machine learning, acoustic analysis, and sound engineering applications.

Top 5 Audio Data Trends in Ecuador

• Smart City Noise Monitoring – Increased demand for real-time noise mapping to improve urban planning and reduce sound pollution in high-traffic areas.
• AI-Powered Voice Technology – Growth in speech recognition and natural language processing for AI-driven voice assistants and customer service applications.
• Acoustic Health & Wellness – Rising interest in sound therapy and wellness programs utilizing Ecuadorian nature sounds for relaxation and mental health solutions.
• Music and Entertainment Analytics – Expansion of data-driven insights in music streaming, concert sound engineering, and traditional Ecuadorian music preservation.
• Telecommunications and Audio Enhancement – Increased adoption of noise suppression, echo cancellation, and advanced call quality enhancement for mobile networks.

Top 5 Companies Utilizing Sound and Audio Data in Ecuador

• Ecuadorian Smart Cities Initiative – Using noise monitoring data to design quieter, more livable urban areas.
• Ecuavoice AI Solutions – Developing speech-to-text technology tailored for Ecuadorian Spanish and indigenous languages.
• Quito Sound Lab – Specializing in acoustic engineering and noise reduction solutions for residential and commercial spaces.
• Andes Audio Research – Conducting ethnomusicology studies and cultural sound analysis for academic and media applications.
• Telecom Audio Enhancement Ecuador – Improving call quality, noise cancellation, and voice clarity for mobile and VoIP communications.

Accessing Techsalerator’s Sound and Audio Data

To obtain Techsalerator’s Sound and Audio Data for Ecuador, contact info@techsalerator.com with your specific requirements. Techsalerator will provide a customized quote based on the required data fields and records, with delivery available within 24 hours. Ongoing access options can also be discussed.

Included Data Fields

• Location-Based Sound Levels
• Speech and Voice Recognition Data
• Environmental and Industrial Noise Data
• Musical and Cultural Audio Samples
• Audio Signal Processing Data
• Noise Pollution Analysis
• Telecommunications Audio Quality Metrics
• Urban Soundscapes and Acoustics
• AI and Machine Learning Training Data for Sound
• Contact Information for Customized Data Access

For detailed insights into Ecuador’s sound and audio landscape, Techsalerator’s dataset is an invaluable resource for businesses, researchers, and technology developers seeking accurate and actionable audio data.

Bacterial foodborne diseases are one of the most important public health issues worldwide but in Ecuador reports on the microbiological quality of foods are scarce. In this study, a total of 450 traditional food samples including bolon, encebollado, sauces, ceviche, fruit juices, fruit salads, cheese, raw chicken and ground beef were collected from popular markets in the cities of Guayaquil, Quito and Cuenca. Samples were assessed for microbiological quality using both culture dependent and culture independent techniques. Populations of total aerobic bacteria, total coliforms, fecal coliforms and E. coli were examined by plate count. Representative colonies from each culture were further identified using biochemical tests and sequencing of the 16S rRNA gene. For the culture independent analysis, bacterial DNA was extracted from food samples and submitted to next generation sequencing (NGS) of the v3-v4 region of 16S rDNA. By using culture dependent techniques, high prevalence of opportunistic and true pathogens including E. coli, Klebsiella pneumoneae, Salmonella spp., Listeria monocytogenes, Staphylococcus aureus, and Shigella flexneri was observed.Other potential pathogens were identified by NGS, including Clostridium spp.., Vibrio spp.., Helicobacter spp.., Campylobacter spp.., among others but no E. coli, Salmonella spp.. or Listeria spp. were detected. This is the first report on the microbiological quality of food from Ecuador.

EC：最大城市人口在12-01-2017达2,844,281.000人，相较于12-01-2016的2,790,791.000人有所增长。EC：最大城市人口数据按年更新，12-01-1960至12-01-2017期间平均值为1,502,366.000人，共58份观测结果。该数据的历史最高值出现于12-01-2017，达2,844,281.000人，而历史最低值则出现于12-01-1960，为456,225.000人。CEIC提供的EC：最大城市人口数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的厄瓜多尔 – 表 EC.世行.WDI：人口和城市化进程统计。

Abstract

These data are the baseline data for a randomized experiment conducted in high schools in Ecuador. The intervention is an online education course that covers entrepreneurial soft skills, scientific methods, and interviews with role models. This course is taken by students during class time, under teacher supervision. We work with 14-18-year-old students (about 15,000 students) in 126 schools. We randomly assign schools either to treatment (and receiving the entrepreneurship and science content online), or placebo-control (receiving a placebo treatment of online courses from standard curricula) groups. Within the treatment group, we randomize at the grade-level the type of entrepreneurship curricula, and then randomize the order of entrepreneurship and science courses to measure the short-term effects of each component and to mitigate order effects. In addition, we cross-randomize schools to a role model treatment of interviews with successful scientists and entrepreneurs. In addition, we provide information about career options.

The baseline survey was administrated through an online learning platform in school.

Geographic coverage

Municipality of Quito and Educational Zone 2

Educational Zone 2 has its administrative headquarters in the city of Tena, Napo province. Its covers provinces of Napo, Orellana and Pichincha, 8 districts (15D01, 22D01, 17D10, 17D11, 15D02, 17D12, 22D02, 22D03), its 16 cantons and 68 parishes. It has an area of 39,542.58 km². The educational zone 2 spread from east to the western border of the Ecuador. We cover students of age 14-18 in schools that has sufficient access to the internet and classes of the K10, K11, or K12. We included the municipality of Quito in the study to enrich the coverage of program by having large (capital) city in the sample.

Analysis unit

Student

Kind of data

Sample survey data [ssd]

Sampling procedure

All students in selected schools who were present in classes filled out the baseline questionnaire

Mode of data collection

Internet [int]

Research instrument

The survey consists of a multi-topic questionnaire administered to the students through online learning platform in school during normal educational hours. We collect the following information: 1. Subject specific knowledge tests. Spanish, English, Statistics. 2. Career intentions, preferences, beliefs, expectations, and attitudes. STEM and entrepreneurial intentions, preferences, beliefs, expectations, and attitudes. 3. Psychological characteristics. Personal Initiative, Negotiations, General Cognition (General Self-Efficacy, Youth Self-Efficacy, Perceived Subsidiary Self-Efficacy Scale, Self-Regulatory Focus, Short Grit Scale), Entrepreneurial Cognition (Business Self-Efficacy, Identifying Opportunities, Business Attitudes, Social Entrepreneurship Standards). 4. Other background information. Socioeconomic level, language spoken, risk and time preferences, trust level, parents background, big-five personality traits of student.

Port-au-Prince had the highest number of homicides in 2023 in Latin America. This Haitian city registered 3,502 homicides that year. It was followed by Guayaquil, in Ecuador, with 2,807 deaths. Overall, Mexican cities ranked among the top of highest homicide rates in this region.

EC：最大城市人口：占城镇人口百分比在12-01-2017达26.261%，相较于12-01-2016的26.292%有所下降。EC：最大城市人口：占城镇人口百分比数据按年更新，12-01-1960至12-01-2017期间平均值为28.257%，共58份观测结果。该数据的历史最高值出现于12-01-1963，达30.401%，而历史最低值则出现于12-01-2017，为26.261%。CEIC提供的EC：最大城市人口：占城镇人口百分比数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的厄瓜多尔 – 表 EC.世界银行：人口和城市化进程统计。

Abstract

Opportunity-focused, high-growth entrepreneurship and science-led innovation are crucial for continued economic growth and productivity. Working in these fields offers the opportunity for rewarding and high-paying careers. However, the majority of youth in developing countries do not consider either as job options, affecting their choices of what to study. Youth may not select these educational and career paths due to lack of knowledge, lack of appropriate skills, and lack of role models. We provide a scalable approach to overcoming these constraints through an online education course for secondary school students that covers entrepreneurial soft skills, scientific methods, and interviews with role models.

The study comprises three experimental trials provided Before and during COVID-19 pandemic in different regions of Ecuador. This catalog entry includes data from Experiment 1: Educational Zone 2/Municipality of Quito 2019-2020. The data from the other two experiments are also available in the catalog.

Experiment 1: Educational Zone 2/Municipality of Quito 2019-2020 In course of Showing Life Opportunities project we conducted a randomized control trial in high schools in Educational Zone 2, Ecuador and Municipality of Quito, Ecuador in 2019-2020; Students finish the program in July 2020. The intervention is an online education course that covers entrepreneurial soft skills, scientific methods, and interviews with role models. This course is taken by students at school (some students finish the program at school during COVID-19 outbreak). We work with mostly 14-19 year-old students (16,570 students). The experimental program covers 126 schools in Educational Zone 2 and 11 schools in Municipality of Quito. We randomly assign schools either to treatment (and receiving the entrepreneurship courses online), or placebo-control (receiving a placebo treatment of online courses from standard curricula) groups. We also cross-randomize the role models and evaluate set of nimble interventions to increase take-up.

The details of intervention can be found in AEA registry: Asanov, Igor and David McKenzie. 2020. Showing Life Opportunities: Increasing opportunity-driven entrepreneurship and STEM careers through online courses in schools. AEA RCT Registry. July 19.

Geographic coverage

Experiment 1: Municipality of Quito and Educational Zone 2 Educational Zone 2 has its administrative headquarters in the city of Tena, Napo province. Its covers provinces of Napo, Orellana and Pichincha, 8 districts (15D01, 22D01, 17D10, 17D11, 15D02, 17D12, 22D02, 22D03), its 16 cantons and 68 parishes. It has an area of 39,542.58 km². The educational zone 2 spread from east to the western border of the Ecuador. We cover students of age 14-18 in schools that has sufficient access to the internet and classes of the K10, K11, or K12. We included the municipality of Quito in the study to enrich the coverage of program by having large (capital) city in the sample.

Analysis unit

Student

Kind of data

Sample survey data [ssd]

Sampling procedure

All students in selected schools who were present in classes filled out the baseline questionnaire

Mode of data collection

Internet [int]

Research instrument

Questionnaires We execute three main sets of questioners. A. Internet (Online Based survey)

The survey consists of a multi-topic questionnaire administered to the students through online learning platform in school during normal educational hours before COVID-19 pandemic or at home during the COVID-19 pandemic. We collect next information: 1. Subject specific knowledge tests. Spanish, English, Statistics, Personal Initiative (only endline), Negotiations (only endline). 2. Career intentions, preferences, beliefs, expectations, and attitudes. STEM and entrepreneurial intentions, preferences, beliefs, expectations, and attitudes. 3. Psychological characteristics. Personal Initiative, Negotiations, General Cognitions (General Self-Efficacy, Youth Self-Efficacy, Perceived Subsidiary Self-Efficacy Scale, Self-Regulatory Focus, Short Grit Scale), Entrepreneurial Cognitions (Business Self-Efficacy, Identifying Opportunities, Business Attitudes, Social Entrepreneurship Standards). 4. Behavior in (incentivized) games: Other-regarding preferences (dictator game), tendency to cooperate (Prisoners Dilemma), Perseverance (triangle game), preference for honesty, creativity (unscramble game). 5. Other background information. Socioeconomic level, language spoken, risk and time preferences, trust level, parents background, big-five personality traits of student, cognitive abilities. Background information (5) collected only at the baseline. B. First follow-up Phone-based Survey Zone 2, Summer (Phone Based). The survey replicates by phone shorter version of the internet-based survey above. We collect next information: 1. Subject specific knowledge tests.
2. Career intentions, preferences, beliefs, expectations, and attitudes. 3. Psychological characteristics

C. (Second) Follow-up Phone-Based Survey, Winter, Zone 2, Highlands Educational Regime.

We execute multi-topic questionnaire by phone to capture the first life-outcomes of students who finished the school. We collect next information:

1. Life Outcome 1- Education. The set of questions that aims to measure the learning success, career/study intentions, propensity to plan and approach others with studying tasks, entrepreneurial intentions.
2. Life Outcome 2- Labor. The set of questions that aims to measure employment status and income, job searching behavior, time devoted for working/business, salary expectations and knowledge about the careers, self-initiated contribution to the family.
3. Personal Initiative/Negotiations related and other measures. The set of questions that aim to measure level of personal initiative, negotiation strategies, pregnancy rate, gender stereotypes, math/STEM self-efficacy, gender attitudes, parent-student communication effects.

Cleaning operations

Data Editing A. Internet, Online-based surveys. We extracted the raw data generated on online platform from each experiment and prepared it for research purposes. We made several pre-processing steps of data: 1. We transform the raw data generated on platform in standard statistical software (R/STATA) readable format. 2. We extracted the answer for each item for each student for each survey (Baseline, Midline, Endline). 3. We cleaned duplicated students and duplicated answers for each item in each survey based on administrative data, performance and information given by students on platform. 4. In case of baseline survey, we standardized items/scales but also kept the raw items.

B. Phone-based surveys. The phone-based surveys are collected with help of advanced CATI kit. It contains all cases (attempts to call) and indication if the survey was effective. The data is cleaned to be ready for analysis. The data is anonymized but contains unique anonymous student id for merging across datasets.

This data set provides map images of hydrographic, morphologic, and edaphic features for the northern Amazon Basin in eastern Ecuador. The hydrographic data are available at two scales based on the 1:50,000 and 1:250,000-scale topographic source maps that were generated in 1990 and 1993, respectively. Morphological and edaphological data were digitized from a 1:500,000 map published in 1983. There are 3 compressed (*.zip) data files with this data set.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden.

The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones.

The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

National.

Analysis unit

Household Individual

Universe

National Population, Both sexes,18 and more years.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample size: 1202

Each city was divided into parroquias and then into zones. Every zone is numbered. The selection of the zones and the starting points of the zones is random. All interviewers have a map of each zone. What was the final number of clusters or sampling points? 166

Mode of data collection

Face-to-face [f2f]

Sampling error estimates

Estimated error: 2.9