For Spain, Esri provides a standard demographics dataset sourced from data supplied by Michael Bauer Research GmbH and an advanced demographics dataset sourced from data supplied by the AIS Group. Visit Where to find ArcGIS Data to learn more about using Esri Demographics.
Release dates
- The standard demographics dataset was updated in February 2026; the vintage is 2025 (Unemployed Population 2024).
- The advanced demographics dataset was updated in October 2023; the vintage is 2023.
Settlement points
- Esri's Spanish standard demographics settlement points use the 2025 Building and Parcel centroids from Dirección General del Catastro (DGC) and National Geographic Institute (NGI) provided by Esri Spain.
- The advanced demographics settlement points use the 2022 Building and Parcel centroids from Dirección General del Catastro (DGC) and National Geographic Institute (NGI) provided by Esri Spain and verified with Esri imagery.
Geography levels
| Esri geography name | Local geography name | Standard demographics feature count | Advanced demographics feature count |
|---|---|---|---|
Country | España | Spain | 1 | 1 |
NUTS 1 | 7 | — | |
Regions | Comunidades | 19 | 19 |
NUTS 2 | NUTS 2 | 19 | — |
Provinces | Provincias | 52 | 52 |
Postcodes2 | Postcodes2 | 52 | — |
NUTS 3 | NUTS 3 | 59 | — |
Postcodes3 | Postcodes3 | 426 | — |
Municipalities | Municipios | 8,132 | 8,176 |
Postcodes5/Census Districts | Códigos Postales | 10,853 | 10,567 |
Statistical Areas | Secciones Censales | 36,595 | 36,427 |
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 Spain is updated with Michael Bauer Research GmbH data updates to this region, approximately every two years. See the Standard demographics related links section below for a complete list of variables, release notes, and a sample report.
Example use cases that may help you understand Spain's standard demographics include the following:
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 to make informed decisions based on the needs of different 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 to assess the environmental impact of human activity based on where people are concentrated. |
Population per Mill
 | What is measured: The number of individuals in a region per thousand. How you use it: Population per Mill is used to understand the comparative distribution of population around 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 males and females in a region's population. How you use it: Male and Female Population counts provide insight into gender balance, 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 like 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 to 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 Income
 | What is measured: Regional households based on reported income levels. How you use it: Households by Income data is used to analyze income inequality within a country's population. Income quintiles can help you understand the distribution of wealth across different socioeconomic groups. This data can help you effectively target policies or marketing strategies based on income levels, identifying areas where specific demographics might need additional support or where certain products or services could have higher market potential based on income brackets. |
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
 | 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
| 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. |
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 particularly 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:
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:
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. |
Standard demographics related links
Refer to the following content:
Advanced demographics sample questions and use cases
Spain's advanced demographics provide additional insight about this region for most data categories. You will find a range of detailed information about Spanish regional population, nationality, country of birth, migration status, poverty risk, income, age, household, property values, educational attainment, and itemized spending data. See the Advanced demographics related links section below for the complete list of variables, release notes, and sample reports.
Some sample questions that could be answered using Spain's advanced demographics include the following:
- How does consumer behavior differ between urban and suburban populations in Spain?
- How does the socioeconomic status vary between urban and suburban areas in Spain?
- What percentage of the population in Spain has a college degree or higher?
- What are the major industries employing people in Spain?
- How diverse is the population in terms of cultural backgrounds in major cities of Spain?
A selection of example use cases that may help you understand Spanish advanced demographics include the following:
Life Conditions
 | What is measured: Regional households based on specific income-related circumstances. For example, regional households with one or more late mortgage or rent payments in the past year. How you use it: Spanish life conditions data is used by local and regional governments, health-care and education specialists, and community developers. This data can be used to identify communities in need of public assistance programs, food or housing aid, and job training. Life conditions data can inform employment and education programs to create scholarship and mentoring programs and for skills retraining in communities with a higher risk of interrupted education or employment. This data can also be used by health-care programs to identify communities with greater need of supported or preventive care. |
Itemized Spending
 | What is measured: Average and total annual household regional expenditures for a range of specific goods and services categories, including spending on specific food, clothing, medical services, entertainment, household goods, personal items, and more. For example, the estimated average annual household spending in a region on All-Inclusive Vacations. How you use it: Spanish annual regional expenditures are typically used by business development and retail marketing professionals—particularly in combination with other demographic data, such as population density and household income—to inform targeted marketing campaigns that maximize customer reach, select new retail sites, or to create product development strategies. Itemized spending data can also be used by businesses to optimize sales territories or to identify current product coverage gaps based on existing trends or opportunities. |
Place of Birth / Place of Birth by Gender
| What is measured: The regional total, female, and male population based on current place of residency compared to place of birth categories. For example, the male population in this region who were born in the same province. How you use it: Spanish population by place of birth data can be used to support urban planning, infrastructure and housing development, public benefit programs, and political representation. Analyzing population by place of birth data can help urban planners and infrastructure policymakers to correctly allocate resources such as schools, hospitals, and public transportation, particularly when this data is combined with population density and age distributions. Population by place of birth data can also be used to improve public benefits and social service programs by identifying those regions with recent population growth or high numbers of long-term residents. This data can also be used to redefine political districts to ensure fair representation. Local and regional housing authorities use this data to understand the housing development needs of changing regional populations. |
Advanced demographics related links
Refer to the following content: