Robbery Rate in Europe

Where in Europe are you most likely to get robbed?


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Map of the robbery rate in Europe.

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I while back I made a map about the robbery rate in Europe. It’s probably one of my most popular maps, especially after famous YouTuber Bald & Bankrupt shared my map.

Recently, I bumped into a similar dataset from Eurostat, but one that showed the robbery rate at the NUTS 3 level. A much heard comment on the previous map, is that the robberies in a lot of countries are concentrated in a small number of areas and cities. This new map gives a much better break-down of where you’re actually more at risk from being robbed.

The previous map is from 2019, this one has data from 2021 for most countries. Compared to the previous map, not much has changed in terms of which countries have the highest robbery rate in Europe. Belgium, Spain and England & Wales still have the highest robbery rates in Europe. Sweden, France, Portugal and Luxembourg are still close behind them. These 7 countries still have a far higher robbery rate than any other European country. The gap between no. 7 Sweden (70) and no. 8 Italy (38), is very big.

Compared to the previous map, it looks like the robbery rate in France has gone up a lot. This is actually not the case. The real reason, is that France has revised its data. When making the previous map, I noticed that the robbery rate in France dropped from over 150 in 2015, to the 40s in the following years. This miraculous drop seemed very suspicious. It now turns out that the robbery rate has been dropping steadily in France from 156 in 2015 to 106 in 2019 and 83 in 2021. But not the 42 in 2019 as they reported previously.

The good news is that, compared to 2 years earlier, the robbery rate has gone down in almost every European country. Especially in Belgium, Spain, France and Portugal.

Keep in mind that the Eurostat data is based on police reports from each country. The number of unreported robberies can vary from country to country. This could mean that the real robbery rate might be higher in some areas.

A robbery is defined by Eurostat as a means of stealing from someone by using physical force, weapon or threat, such as mugging or robbery (e.g. bank, shop or van). Robbery is different from theft (without force) and assault (without stealing).

4 comments

  1. That the worse comment (comma) I have ever seen in my entire life. Holy MoLLy I don’t know where to start.

    Data is breakdown by areas according to the Eurostat data, as clearly stated in the map. But reading is too difficult; as well as seeing in a map that Sweden has big lakes, not holes.

    Data are real numbers, not integer. Adding 15 or whatever to both doesn’t matter because the integral from X to X is equal to 0.

    If you don’t know that Sweden has big lakes, I guess the unrecognizable islands of Madeira and Azores must be from Game of Thrones lore or something.

    Breaking is done that way to avoid empty categories.

    Please, tell me more about how 3 years old make maps.

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  2. Thats the worst map, I have ever seen in my entire life. Holy Moly I dont know where to start…
    You random german cities with less than 100k people, then for france you use the whole country but again in Greece country level and some 3 random areas , then theres a hole in Sweden for some reason.

    At the map legend you have 0-15 and 15-30. You have 15 twice. Thats complete rubbish classification.
    Next to Spain you have some unrecognisable Islands without name. Gran Canaria and the rest ?? No assignment whatsover.

    The classification breakpoints arent even taken with logical sense, you just cut every 15 then 25 and 50. Besides that, you used all kind of data from different years for every place. Especially during covid times, these numbers have a different value.

    All I see on this map are not robberies per capita. But a map made by a 3rd grader with only 2min of research by copy pasting data from eurostat. The longer i look at this map the more shit i find. Cant believe how you do maps for so long and yet they look so horrible and are factually wrong

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