Ecuador

Flag of the Republic of Ecuador

For Ecuador, Esri provides a standard demographics dataset sourced from data supplied by Michael Bauer Research GmbH and a bilingual (English/Español) advanced demographics dataset sourced from data supplied by Esri Ecuador. Visit Where to find ArcGIS Data to learn more about using Esri Demographics.

Release dates

The standard demographics dataset was updated in November 2026; the vintage is 2026.
The advanced demographics dataset was initially released in November 2026; the vintage is 2024.

Settlement points

Esri's Ecuadorian standard demographics settlement points use the June 2026 Overture Maps Open Data (retrieved from https://registry.opendata.aws/overture). The settlement points contain estimated housing units derived from Address points and Building Footprint polygons. Instituto Nacional de Estadística y Censos (INEC) Sector Censal Data and Overture Land Use and POI layers were used to enhance housing unit values and remove non-residential data.
The advanced demographics settlement points also use the June 2026 Overture Maps Open Data (retrieved from https://registry.opendata.aws/overture). The settlement points contain estimated housing units derived from address points and building footprint polygons. Various additional layers were used remove possible nonresidential points.

Geography levels

Esri geography name	Local geography name	Standard demographics count	Advanced demographics count
Country	Ecuador	1	1
Provinces	Provincias	24	24
Cantons	Cantones	222	221
Sectors	Sectores	—	52,960

Visualize demographic data variables

The data browser is an interface to help you visualize and explore the data categories and analysis variables available in Esri Demographics. See Explore data variables to learn more about this visualization tool.

Standard demographics use cases

The Esri standard demographics dataset for Ecuador is updated with Michael Bauer Research GmbH data updates to this region, approximately every two years. See the Related links section below for a variable list and release notes.

The following sections include example use cases that may help you understand Ecuador's demographics.

Total Population

Total Population What is measured: The total number of individuals living in a specific area.

How you use it: Population counts are often used by local and national governments for policy planning, resource allocation, and informed decision-making based on the needs of various population groups within a country or region. You can use this data to explore the allocation of public services, economic development, political representation, social research, and resources available for disaster preparedness.

Population Density

Population Density What is measured: The number of people per unit of area (square mile or square kilometer).

How you use it: Population Density is typically used for national and local projects such as infrastructure design, urban planning to allocate and distribute public services, and environmental impact assessments of human activity based on where people are concentrated.

Population per Mill

Population per Mill What is measured: The region's proportional share of the total national population.

How you use it: Population per Mill is used to understand the comparative distribution of population in a country or region based on a per-thousand ratio. This data is used to support market trend analysis, infrastructure planning, and regional and national policy development. Population distribution is often used in health care to track disease prevalence or vaccination rates.

Male/Female Population Totals

Population by Gender Totals What is measured: The total number of females and males in a region's population.

How you use it: Population by Gender counts provide insight into the balance between females and males in a region, which is used for informed decision-making in areas such as education, workforce planning, health care, and skills training. This data is also used to help interpret complex results, such as health-care outcomes, crime statistics, targeted marketing campaigns, and housing shortages.

Population by 15-Year Age and Gender

Population Totals by Age and Gender What is measured: The distribution of regional population across 15-year age groups and gender.

How you use it: Total, Female, and Male Population by 15-Year Age counts can be used to help predict future social and economic trends and to plan for future resource allocation based on age groups in fields such as education, health care, and the labor force. This data is important for identifying potential challenges related to shifts in age or gender ratios within different age brackets.

Total Households

Total Households What is measured: The total number of households in a region.

How you use it: Total Household counts can help you understand the composition of a country's population based on how many people live in a single dwelling or housing unit. This data assists with informed decision-making in areas such as government policy, business strategy, community planning, and social research. You can use household counts to identify community needs, allocate public policy funds, perform business market analysis, and design targeted social programs. Local authorities use household counts to plan for community development projects, considering factors such as housing availability and density.

Average Household Size

Average Household Size What is measured: The median or average size of households (people who share the same living quarters) in a region.

How you use it: Average Household Size data helps you understand the overall population structure and informs policy decisions related to housing, resource allocation, and service provisioning. This data is used to analyze economic trends, specifically consumption patterns, based on the number of people sharing living spaces in a region.

Households by Type

Households by Type What is measured: Regional households grouped by specific relationship structures.

How you use it: Households by Type categories are used to tailor housing and marketing policies in a region based on different household compositions—such as single-person households, extended families, and so on—and their specific needs. This data is important for policymakers and data analysts who work with infrastructure, housing, education, health-care, and marketing information.

Marital Status

What is measured: Regional population based on marital status categories.

How you use it: Marital Status categories are used to understand the social structure of the population, inform policy decisions related to family dynamics, plan the needs of programs with spousal benefits, analyze trends in regional marriage rates, and improve marketing campaigns based on life stages and household composition. This data is used in government policy planning, economic analysis, social and market research, and health-care planning.

Standardized Educational Attainment

Educational Attainment What is measured: Levels of education achieved by individuals in the regional population based on international, standardized metrics.

How you use it: Standardized Educational Attainment categories can improve understanding about the effectiveness of regional education programs. This data can be used to compare educational attainment or metrics across countries, regions, or globally. Standardized Educational Attainment is typically used to assess a country's economic potential, social development, and workforce capabilities. It can also be used to provide the parameters for public policies, workforce training, and social programs and to inform multiregional education program decision-making.

Educational Attainment

Educational Attainment What is measured: Levels of education achieved by individuals in the regional population based on local educational levels or metrics.

How you use it: Educational Attainment categories help improve understanding of the overall regional education experience. This data is typically used to inform a country's education planning, economic potential, and social development. Governments and businesses—such as companies looking to relocate or expand into a region—may use this data to evaluate whether a region has an existing skilled workforce in industries such as technology, health care, or manufacturing. This data can help identify potential regional policy gaps requiring further educational programs or workforce training. Policymakers use local educational attainment data to identify regions with imbalances in economic outcomes, or to locate areas that may require targeted support, adult education programs, or improved social services.

Purchasing Power

What is measured: The ability of individuals or households to buy goods and services in a region. Purchasing Power data consists of four metrics:

Total—The sum of all regional household disposable income.
Per Mill—The region's proportional share of the nation's disposable income.
Per Capita—The per-person average of all regional disposable income.
Index—The comparison of regional disposable income to the national average, which has an index value of 100. For example, if a region's purchasing power index is 89, it has 11 percent less disposable income than the national average; if the region's index is 117, it has 17 percent more purchasing power than average.

How you use it: Purchasing Power data can help improve understanding of the potential consumer market in a country or region, specifically to determine pricing strategies and market potential options. This data can be used to develop targeted product, business, and sales strategies when entering a new market or expanding within an existing one.

Advanced demographics sample questions and use cases

Ecuador's advanced demographics provide additional insight about this region for most data categories. You will find a range of detailed information about Ecuadorian regional population, detailed age categories, education, income percentages and discretionary savings, marital status, and spending habits. See the Advanced demographics related links section below for release notes and variable lists in English and Spanish.

Some sample questions that could be answered using Ecuador's advanced demographics include the following:

What is the child dependency ratio in Guayaquil?
What regions have the highest income percentiles in Ecuador?
How many households in Cuenca have higher than average spending on recreational services and products?
Where can I find the highest concentration of the Ecuadorian population with technical training?

The following sections include example use cases that may help you understand Ecuadorian advanced demographics.

Transportation Spending: Per Capita (monthly)

Spending per capita What is measured: The total financial resources expended per month toward transit services and vehicle-related costs, divided evenly across the country's population.

How you use it: Ecuadorian per capita spending on transportation can be used by urban planners, government agencies, and international development banks to optimize public infrastructure investments and target subsidies effectively. By analyzing how much the average Ecuadorian spends on transportation relative to their income, decision-makers can solve real-world economic and logistical problems.

For example, by looking at per capita spending across different regions (for example, urban Guayaquil compared to the Amazonian provinces), the government could explore transitioning from blanket subsidies to electronic transit vouchers, ensuring that financial relief more directly reaches citizens who rely on public buses.

Local municipalities, like those in Quito or Cuenca, can use per capita spending to justify and plan massive infrastructure projects like the Quito Metro or the Tranvía de Cuenca. If data shows high per capita spending on informal transit (such as pickup trucks or unregistered taxis) in peripheral neighborhoods, it signals a lack of affordable public options. Planners can use this data to justify the implementation of new feeder bus routes or cable car systems (Metrocable concepts) to connect underserved populations to major economic hubs efficiently.

Marital Status: Common Law

Marital Status What is measured: Whether a person is in an officially recognized Unión de Hecho (de facto union). When recorded on official documents, census forms, or the National Civil Registry (Registro Civil), this status verifies that the individual meets the conditions outlined in Article 68 of the Ecuadorian Constitution and Article 222 of the Civil Code, which grants multiple protections and rights under the law.

How you use it: A primary reason to track Ecuadorian common law marital status variables is the regional allocation of resources and underwriting risks for the Ecuadorian Social Security Institute (IESS).

Partners in a registered common-law union can be added to an individual's health coverage for a specific premium. If data indicates a surge in Uniones de Hecho in a specific region (for example, Guayas verses Pichincha), the IESS can allocate more funding to maternal and family clinic infrastructure in those areas.
Surviving partners in a common-law union have identical rights to montepío (survivor pensions) as traditional spouses. If certain provinces feature higher rates of unregistered common-law unions, local offices can anticipate a heavier administrative burden for post-mortem judicial recognitions (juicio sumario).
Living together does not automatically grant rights; the union must be legally formalized to secure state protections. Tracking low registration rates in regions with high cohabitation helps local governments deploy mobile notaries and educational campaigns to protect vulnerable partners.