Réunion
Esri provides a standard demographics dataset for Réunion sourced from data supplied by Michael Bauer Research GmbH. Visit Where to find ArcGIS Data to learn more about using Esri Demographics.
Release date
This dataset was updated in October 2025; the vintage is 2025 (Unemployed Population 2024).
Settlement points
Esri's Réunionese settlement points were created using the European Commission Global Human Settlement Layer (GHSL), 100-meter resolution 2025 Estimated Population Raster Layer. The points were verified using the latest Esri imagery. More information about the data can be found at https://ghslsys.jrc.ec.europa.eu.
Geography levels
| Esri geography name | Local geography name | Feature count |
|---|---|---|
| Country | Réunion | 1 |
| Districts | Arrondissements | 4 |
| Municipalities | Communes | 24 |
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 Réunion 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 Réunion's demographics.
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
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
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
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
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
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
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
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.
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.
Unemployed Population
What is measured: The number of individuals actively seeking employment who are currently unemployed in a region.
How you use it: Unemployed Population counts help policymakers, researchers, and businesses identify patterns, target specific job-seeking groups with support programs, and make informed decisions about specific economic policies aimed at reducing unemployment. This data is useful in areas such as job training, education, and regional development, particularly when combined with other variables, such as age, gender, race, education level, and location. Regional unemployment data is used to identify trends and disparities, such as whether specific populations are disproportionately affected by unemployment. This data can inform the design of unemployment benefits, job training programs, and economic stimulus packages tailored to regional demographic needs. Unemployed Population data can also be used to perform labor market analysis, helping predict future market needs, trends, and challenges.
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.
Consumer Spending
What is measured: The amount of money spent by consumers on goods and services in a region. Consumer Spending data consists of four metrics:
Total—The sum of all regional annual spending on a product or service category—for example, the total amount spent in this region annually on Alcoholic Beverages.
Per Mill—The region's proportional share of the nation's overall annual spending on a category.
Per Capita—The estimated amount spent annually in this region per person on a category.
Index—A comparison of the region's spending on a category to national spending, which has an index value of 100. If a region's spending index is 89, the region spends 11 percent less than the national average on this category; if the regional index is 117, it spends 17 percent more than the national average.
How you use it: Consumer Spending data can be used to understand economic health, consumer behaviors, regional buying trends, and the preferences of different population segments across a country. This data can be used to inform marketing, product development, investment, and public policy strategies based on factors such as age, income level, and geographic location data. Consumer Spending data can support market analysis initiatives, economic forecasting, investment planning, and policy development.
Related links
Refer to the following content: