We bring all TelluBase collected materials together with hyperlinks to our publications repository.
Here we show what is included in Tellubase.
We show the contents of TelluBase in a simple 3D “tower”, demonstrating its comprehensiveness. It makes clear what is unique about TelluBase compared to conventional data sources.
En Torre de TelluBase has three dimensions: geographies, years, and data series.
The middle class is often talked about but seldom well defined. Before we embark on an expose on trends, we therefore define socioeconomic levels—what we call “Consumer Classes”.
Este mapa muestra los 218 países, 2600 ciudades y 2500 subdivisiones primarias que cubrimos en Tellubase. Además, cubrimos 25 000 subdivisiones secundarias.
The map shows how TelluBase covers 425 cities and 342 secondary subdivisions in China.
Note that what many think are cities, the so-called prefecture-level cities (PLC), are not cities at all. They are secondary subdivisions and may contain many cities (at least one; up to eight) and always have rural areas.
The map shows the 36 large cities and 1100 secondary subdivisions in Colombia.
For each of these entities, we cover economic, socioeconomic, and demographic information, as well as the size of the consumer classes. All this with a view toward the future with data covering 2000 till 2050.
Countries typically paint too coarse a picture for the EU. A more suitable way to understand the European economy is to look at cities and NUTS socioeconomic regions.
We cover 504 cities and 349 subdivisions. They are NUTS 0, 1, 2, or 3 levels depending what representants a country best.
The map shows the cities (92 zonas metropolitanas) and secondary subdivisions (1500 municipios) in Mexico.
For each of these entities, we cover economic, socioeconomic, and demographic information, as well as the size of the consumer classes. All this with a view toward the future with data covering 2000 till 2050.
Local Government Areas (LGA) are the secondary subdivisions (below states) in Nigeria. This map shows the income per household for the close to 800 LGAs and the 50 cities with a population larger than 300,000.
Our TelluBase database covers these secondary subdivisions and cities within its Nigeria module.
States are often too high level for insights in the U.S. Counties are too detailed. The U.S. government therefore developed Metropolitan Statistical Areas (MSAs) to allow for better policy making. Instead of subdividing the entire country, the MSAs focus on cities.
Our TelluBase database uses MSAs to define cities down to 100,000 inhabitants.
By Dr. Staffan Canback and Frank D’Agnese. Problemas y perspectivas en la gestión, Volume 6, Issue 2, 2008
Finding, measuring and capturing market opportunities in emerging countries are critical tasks for multinational consumer goods companies. Central to these tasks is the need to collect and analyze income distribution data within a globally coherent framework and to move beyond income metrics based on national averages.
This article describes a new framework and dataset that achieves this goal and demonstrates how income distribution data, combined with consumer and marketing data, can be incorporated into demand models.
How are TelluBase data used? We highlight six examples in this Quick Read. They cover a wide range of industries and applications.
Pure extracts with no analyes beyond what ids already in the database.
We provide free TelluBase data to select public institutions and media through the Tellusant Public Service Series. These are small, but important, subsets of the full product. The following countries are currently covered.
The map shows the Köppen climate zones for the 2600 cities we cover in TelluBase.
El mapa muestra las zonas climáticas ponderadas por población según el país. Es decir, el clima del lugar donde vive la gente, en lugar del clima de la zona geográfica (por ejemplo, Argelia tiene clima mediterráneo, no desértico).
Nota: Sólo unos pocos países tienen zonas climáticas difusas (sobre todo EE.UU. y China) donde no hay un clima realmente dominante.
China as a whole covers many climate zones. Here we show them at the secondary subdivision level (prefecture or equivalent).
Esta variabilidad da lugar a diferentes preferencias y culturas de consumo en todo el país. La más famosa es la división entre trigo y arroz.
By single dimension analysis, we mean TelluBase data on their own, not interacting with other data series.
¿Cómo evolucionará la clase media mundial en los próximos 20 años? A un ritmo vertiginoso, pero con diferentes regiones a la cabeza.
Time for expert to replicate:2-5 years, maybe impossible
En los mercados emergentes, las ciudades suelen crecer más deprisa que sus países, y la clase media (y superior) crece aún más deprisa. Tomamos las diez ciudades más grandes de América Latina para ilustrar este punto.
Time for expert to replicate:2-5 years, maybe impossible
¿Cómo debemos considerar el riesgo de un país? Presentamos el riesgo de las naciones basándonos en un análisis cuantitativo. Dividimos el riesgo en componentes financieros y de mercado (demanda). Considerar el riesgo de esta manera da una definición estricta de lo que se entiende por riesgo. Coincide con la observación de Frank Knight: El riesgo es una distribución de probabilidad conocible.
Time for expert to replicate:3-5 months
What is the probability of a recession in a given country? We analyzed data for all (218) countries at the subnational level to find out. The map shows the the results.
Tajikistan has the lowest recession probability, Yemen the highest. Most of the affluent counties have higher than average probabilities; emerging countries do better, with some notable exceptions.
See how British cities and subdivisions vary in size and density of the middle class.
Time for expert to replicate:40-80 hours
La disparidad de renta per cápita entre las zonas urbanas y rurales es grande en China. Hemos utilizado nuestros datos de TelluBase para crear este mapa que muestra la clara división.
Time for expert to replicate: 80-120 hours
The Democratic Republic of the Congo (DRC) may be the world’s third most difficult country to analyze (after North Korea and Eritrea). This brief shows that every country’s economic conditions can be quantified at the sub-national level.
Time for expert to replicate: 80-200 hours
The NB8 region is tightly integrated economically and politically and has a GDP almost of Italy’s size. The total population is around 35 million and given the high standard of living, it ranks fourth in the Single Market (EU + 4) by GDP, ahead of Spain and just behind Italy at third.
It is tightly integrated economically. For example, the top countries Sweden exports to are, in terms of share of those countries’ imports, the other seven NB8 countries.
Time for expert to replicate: 60-120 hours
See how Spanish cities and subdivisions vary in size and density of the middle class.
Time for expert to replicate: 80-200 hours
Es una mala práctica evaluar los mercados de bienes de consumo basándose en el producto interior bruto (PIB) per cápita. ¿Por qué debería tener algo que ver el PIB con la demanda de los consumidores?
Time for expert to replicate: 20-30 hours
Multi-dimension analyses use TelluBase and at least one other data series with interactions determined statistically (such as income elasticity of product demand).
There is a strong trend among global companies toward understanding markets at subnational levels. They always face local players who have a keen sense for subnational opportunities. We take this approach on the South African information & communications technology (ICT )sector.
Time for expert to replicate: 120-200 hours
How does demand for a category or industry change with disposable income and how do you go from analysis to strategic implications? We use global beer demand to illustrate.
Time for expert to replicate: 80-120 hours
¿Cómo podemos estimar los tipos de cambio futuros (XR) con fines estratégicos (a 3-10 años vista)? La respuesta es que un modelo de paseo aleatorio es el que mejor funciona. Comprender la lógica de los tipos de cambio futuros puede parecer difícil, pero no lo es. Sin embargo, tendemos a dificultarla.
Time for expert to replicate: 40-60 hours
Climate change is the problem of the century. How do countries differ in their ability to manage the greenhouse gases (GHG) that cause it?
We emit GHG to stimulate economic activity. Not the other way around (we have economic activity to emit GHG). This view allows us to think about GHG productivity: How much economic activity, GDP, does a unit of emitted GHG create?
Time for expert to replicate: 60 hours
Världens handelsmönster håller på att stöpas om. Att USA ökat tarifferna för att minska importen är tydligt. Men Europeiska Unionen har också ökat tarifferna mot Kina under flera år. Kina kommer svara på bägge. Sekundära effekter uppstår för alla. Hur ska ett exportberoende land som Sverige agera för att bibehålla och öka sin export?
Presentation by Dr. Staffan Canback at Tellusant’s Punta Cana Global Office Retreat, November 18-21, 2025
Presentation by Dr. Staffan Canback to the Harvard Club of Boston’s Shared Interest Group on business, April 15, 2025
The Lund Lecture by Dr. Staffan Canback, May 2024
Internal Training Session by Dr. Staffan Canback, Executive Chairman, May 22, 2025
Read our press releases about the significant events involving TelluBase.
¡Edición Semestral TelluBase H1 2026 ya disponible por Tellusant!
Tellusant, Inc. Releases H2 2025 Semi-Annual Update of Its TelluBase Product
TelluBase Launches New Features and Adds Latest Global Data in H1 2025 Semi-Annual Update
Tellusant, Inc. Releases Semi-Annual Data Update of Its TelluBase Product