Ecuador Population: Urban: Quito data was reported at 1,950,469.000 Person in Jun 2019. This records an increase from the previous number of 1,943,614.000 Person for Mar 2019. Ecuador Population: Urban: Quito data is updated quarterly, averaging 1,671,636.918 Person from Jun 2007 (Median) to Jun 2019, with 49 observations. The data reached an all-time high of 1,978,025.432 Person in Sep 2016 and a record low of 1,544,067.042 Person in Jun 2007. Ecuador Population: Urban: Quito data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.G008: ENEMDU: Population: Urban.

In 2026, the population of Ecuador was approximately 18.2 million, compared with eight million in 1980. 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.

Historical dataset of population level and growth rate for the Quito, Ecuador metro area from 1950 to 2026.

Ecuador Population: Under 15 Years Old: Urban: Quito data was reported at 417,940.000 Person in Jun 2019. This records an increase from the previous number of 416,471.000 Person for Mar 2019. Ecuador Population: Under 15 Years Old: Urban: Quito data is updated quarterly, averaging 416,080.000 Person from Jun 2007 (Median) to Jun 2019, with 49 observations. The data reached an all-time high of 532,647.691 Person in Sep 2016 and a record low of 313,826.087 Person in Mar 2011. Ecuador Population: Under 15 Years Old: Urban: Quito data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.G008: ENEMDU: Population: Urban.

Ecuador Working Age Population: Urban: Economically Inactive: Quito data was reported at 584,976.172 Person in Jun 2019. This records a decrease from the previous number of 641,923.902 Person for Mar 2019. Ecuador Working Age Population: Urban: Economically Inactive: Quito data is updated quarterly, averaging 493,826.461 Person from Jun 2007 (Median) to Jun 2019, with 49 observations. The data reached an all-time high of 641,923.902 Person in Mar 2019 and a record low of 313,388.238 Person in Jun 2008. Ecuador Working Age Population: Urban: Economically Inactive: Quito data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.G011: ENEMDU: Working Age Population: Urban.

We conducted a cross-sectional study with 656 adults from health district 17D06, South Quito, Ecuador, using multi-stage cluster sampling. The study followed an adapted WHO STEPwise approach, considering Ecuador's 2018 STEPwise survey. For more information, contact Clara Blanes Mira: c.blanes@umh.es

This map features the World Population Density Estimate 2016 layer for the Caribbean region. The advantage population density affords over raw counts is the ability to compare levels of persons per square kilometer anywhere in the world. Esri calculated density by converting the the World Population Estimate 2016 layer to polygons, then added an attribute for geodesic area, which allowed density to be derived, and that was converted back to raster. A population density raster is better to use for mapping and visualization than a raster of raw population counts because raster cells are square and do not account for area. For instance, compare a cell with 185 people in northern Quito, Ecuador, on the equator to a cell with 185 people in Edmonton, Canada at 53.5 degrees north latitude. This is difficult because the area of the cell in Edmonton is only 35.5% of the area of a cell in Quito. The cell in Edmonton represents a density of 9,810 persons per square kilometer, while the cell in Quito only represents a density of 3,485 persons per square kilometer. Dataset SummaryEach cell in this layer has an integer value with the estimated number of people per square kilometer likely to live in the geographic region represented by that cell. Esri additionally produced several additional layers: World Population Estimate 2016: this layer contains estimates of the count of people living within the the area represented by the cell. World Population Estimate Confidence 2016: the confidence level (1-5) per cell for the probability of people being located and estimated correctly. World Settlement Score 2016: the dasymetric likelihood surface used to create this layer by apportioning population from census polygons to the settlement score raster.To use this layer in analysis, there are several properties or geoprocessing environment settings that should be used:Coordinate system: WGS_1984. This service and its underlying data are WGS_1984. We do this because projecting population count data actually will change the populations due to resampling and either collapsing or splitting cells to fit into another coordinate system. Cell Size: 0.0013474728 degrees (approximately 150-meters) at the equator. No Data: -1Bit Depth: 32-bit signedThis layer has query, identify, pixel, and export image functions enabled, and is restricted to a maximum analysis size of 30,000 x 30,000 pixels - an area about the size of Africa.Frye, C. et al., (2018). Using Classified and Unclassified Land Cover Data to Estimate the Footprint of Human Settlement. Data Science Journal. 17, p.20. DOI: https://doi.org/10.5334/dsj-2018-020.What can you do with this layer?This layer is primarily intended for cartography and visualization, but may also be useful for analysis, particularly for estimating where people living above specified densities. There are two processing templates defined for this layer: the default, "World Population Estimated 2016 Density Classes" uses a classification, described above, to show locations of levels of rural and urban populations, and should be used for cartography and visualization; and "None," which provides access to the unclassified density values, and should be used for analysis. The breaks for the classes are at the following levels of persons per square kilometer:100 - Rural (3.2% [0.7%] of all people live at this density or lower) 400 - Settled (13.3% [4.1%] of all people live at this density or lower)1,908 - Urban (59.4% [81.1%] of all people live at this density or higher)16,978 - Heavy Urban (13.0% [24.2%] of all people live at this density or higher)26,331 - Extreme Urban (7.8% [15.4%] of all people live at this density or higher) Values over 50,000 are likely to be erroneous due to spatial inaccuracies in source boundary dataNote the above class breaks were derived from Esri's 2015 estimate, which have been maintained for the sake of comparison. The 2015 percentages are in gray brackets []. The differences are mostly due to improvements in the model and source data. While improvements in the source data will continue, it is hoped the 2017 estimate will produce percentages that shift less.For analysis, Esri recommends using the Zonal Statistics tool or the Zonal Statistics to Table tool where you provide input zones as either polygons, or raster data, and the tool will summarize the average, highest, or lowest density within those zones.

Survey, Database, and Codebook for Cross-Sectional Analysis in the Eloy Alfaro Health District (17D06), Southern Quito, Ecuador.

Database, and Codebook from Cross-Sectional Study (modified STEPS survey) in the Eloy Alfaro Health District (17D06), Southern Quito, Ecuador.

Population: Urban: Quito在2019-06达1,950,469.000 人口，相较于2019-03的1,943,614.000 人口有所增长。Population: Urban: Quito数据按季度更新，2007-06至2019-06期间平均值为1,671,636.918 人口，共49份观测结果。该数据的历史最高值出现于2016-09，达1,978,025.432 人口，而历史最低值则出现于2007-06，为1,544,067.042 人口。CEIC提供的Population: Urban: Quito数据处于定期更新的状态，数据来源于National Institute of Statistics and Census，数据归类于Global Database的厄瓜多尔 – Table EC.G008: ENEMDU: Population: Urban。

厄瓜多尔 Working Age Population: Urban: Economically Active Population: Quito在2019-06达947,552.828 人口，相较于2019-03的885,219.098 人口有所增长。厄瓜多尔 Working Age Population: Urban: Economically Active Population: Quito数据按季度更新，2007-06至2019-06期间平均值为828,703.973 人口，共49份观测结果。该数据的历史最高值出现于2018-09，达998,157.000 人口，而历史最低值则出现于2011-12，为756,922.462 人口。CEIC提供的厄瓜多尔 Working Age Population: Urban: Economically Active Population: Quito数据处于定期更新的状态，数据来源于National Institute of Statistics and Census，数据归类于Global Database的厄瓜多尔 – Table EC.G011: ENEMDU: Working Age Population: Urban。

Objective: To generate normative data for verbal fluency and naming test in an Ecuadorian adult population.Methods: The sample consisted of 322 healthy adults (18–84 years old) recruited from Quito, Ecuador. The verbal fluency and Boston Naming Test (BNT) were administered as part of a larger comprehensive neuropsychological battery. Multiple linear regression analyses were used to generate the normative data taking into account age, education, and sex.Results: For phonological verbal fluency, results indicated that only education was significantly related to the performance of the letters “A,” “S,” and “M.” However, the performance on the letter “F” was significantly associated with age and education. For semantic fluency, the performance on “animals” was significantly influenced by age, quadratic age, and education, whereas that for “fruits” was explained by quadratic age, education, and sex. The performance on the BNT was significantly influenced by age and education. A Microsoft Excel-based calculator was created to help clinicians to obtain the normative data on this test.Conclusion: This normative data will help neuropsychologist in Ecuador to use these tests both in research and in their clinical practice to improve the diagnosis of cognitive deficits in the population.

Background: In an elderly population with hypertension, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is associated with a higher incidence of mortality and a protracted course of clinical symptoms.Objective: To assess the perceived risk of infection and complications due to COVID-19 in people with hypertension living in a semi-urban city of Ecuador.Methods: A cross-sectional telephone survey of adult outpatients with a previous diagnosis of hypertension in the semi-urban community of Conocoto in Quito, Ecuador was conducted from August to December 2020.Results: A total of 260 adult outpatients, aged 34–97 years, completed telephone surveys. Of total, 71.5% (n = 186) of respondents were women and 28.5% (n = 74) of respondents were men. Overall, 18.1% believe that their risk of infection is “very high,” 55.4% believe that their risk of infection is “high,” 21.5% believe that their risk of infection is “low,” and 5% believe that their risk of infection is “very low.” The perceived risk of complications, if infected by COVID-19, revealed that 21.9% believe that their risk of complication is “very high,” 65.0% believe that their risk of complication is “high,” 10.4% believe that their risk of complication is “low,” and 2.7% believe that their risk of complication is “very low.”Conclusion: Patients with hypertension are aware of the risks posed by COVID-19 infection and its impact on their health. However, the health system must educate the population on health practices and behaviors to avoid COVID-19 infection until the majority of the population of Ecuador can be vaccinated.

Population: Under 15 Years Old: Urban: Quito在2019-06达417,940.000 人口，相较于2019-03的416,471.000 人口有所增长。Population: Under 15 Years Old: Urban: Quito数据按季度更新，2007-06至2019-06期间平均值为416,080.000 人口，共49份观测结果。该数据的历史最高值出现于2016-09，达532,647.691 人口，而历史最低值则出现于2011-03，为313,826.087 人口。CEIC提供的Population: Under 15 Years Old: Urban: Quito数据处于定期更新的状态，数据来源于National Institute of Statistics and Census，数据归类于Global Database的厄瓜多尔 – Table EC.G008: ENEMDU: Population: Urban。

Working Age Population: Urban: Economically Inactive: Quito在2019-06达584,976.172 人口，相较于2019-03的641,923.902 人口有所下降。Working Age Population: Urban: Economically Inactive: Quito数据按季度更新，2007-06至2019-06期间平均值为493,826.461 人口，共49份观测结果。该数据的历史最高值出现于2019-03，达641,923.902 人口，而历史最低值则出现于2008-06，为313,388.238 人口。CEIC提供的Working Age Population: Urban: Economically Inactive: Quito数据处于定期更新的状态，数据来源于National Institute of Statistics and Census，数据归类于Global Database的厄瓜多尔 – Table EC.G011: ENEMDU: Working Age Population: Urban。