Where Do Your Czech Customers Live?
If you are active in a physical retail business in the Czech Republic or thinking about starting a new one, you will need to know a thing or two about Czech population distribution. Where do your customers live? Where is the biggest concentration? Do most people live in bigger cities or are evenly spread out in mid-sized ones? Which cities should you be present in? The following overview should give you high-level answers to those questions.
Basic Info - Czechia
Czechia (Czech Republic) is situated in the middle of Europe. It is neighboring Germany, Austria, Poland, and Slovakia.
Population: 10.6 million
Area: 78,866 km2
Density: 134 inhabitants per km2
Average population density 134 inhabitants per km2 is above EU average. Czechia is less densely inhabited than Germany and Great Britain but more than France and Spain. Neighboring Poland has a very similar density.
50% of The Population Live in Top 130 Cities
|City Inhabitants||# of Cities||# %||Population||Popul. %|
Pareto principle works and roughly 80% of the population lives in top 20% of cities.
Population Density By City
On the next map, you can see the same data in terms of population density. It is not surprising that the biggest cities are very densely populated, but you can also find some other medium-sized cities with a high-density population. Prague is the most densely populated city in Czechia (2.6k inhabitants per km2) followed by Havířov (2.3k) which is the 12th biggest city.
Moravia and North-South border with Germany are quite dense areas. On the other hand, South of the Czech Republic below Prague is populated relatively sparsely, except few big cities.
You can also clearly see, that top 4 biggest cities (Praha, Brno, Ostrava, Plzen) are surrounded by smaller satellite-cities.
Czech Statistical Office (2017). Population of municipalities of the Czech Republic (1.1.2017). https://www.czso.cz/csu/czso/population-of-municipalities-1-january-2017.
Geoportál ČÚZK (2017). INSPIRE harmonized dataset on Administrative Units. http://geoportal.cuzk.cz.
R Core Team (2016). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/.
Hadley Wickham (2017). tidyverse: Easily Install and Load ‘Tidyverse’ Packages. R package version 1.1.1. https://CRAN.R-project.org/package=tidyverse.