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contains a huge amount of data. How can it be used to answer the questions that
Knowledge (XXG) editors are interested in? This article shows one example. Of course, academics and other professional researchers may research similar questions to those you are interested in. But it can be hard to find
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from 1975 to the present (France is divided into 100 "départements" i.e. districts). Unfortunately, there is no older data available on births by department. This is a hard limit; our dataset is limited to those born after 1975. They are 47 years old or younger in 2022. Some people, of course, may
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are mountain departments. Further analysis shows that there is a high concentration of rugby players in the South West departments such as Hautes-Pyrénées, Pyrénées-Atlantiques, Pyrénées-Orientales and Haute-Garonne which might explain their ranking. People born in those departments would have a
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In many professions 47 is a bit young to get a
Knowledge (XXG) page, or at least the data only going back 47 years makes a big difference, whilst few sportspeople are going to become notable at or after that age. It would be interesting to see this redone in a decade or five when a lot more non
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Of course interpretation is tricky. This may reflect a real inequality of opportunity to gain success in the real world, or it could be an encyclopedic bias. However, unlike gender bias, it is difficult to imagine reasons why the encyclopedia would be biased towards certain departments. So it
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How does your birthplace affect your probability of being covered on
Knowledge (XXG)? Having a Knowledge (XXG) page can be a sign of how successful you are in certain aspects of life. We know that the probability of being successful depends on your birthplace. So in this article I look at the
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While browsing
Knowledge (XXG) in French, I was surprised by the number of people born in Neuilly-sur-Seine (Hauts-de-Seine) or in Paris. So I wanted to know if there was an over-representation of people born in these places. I've been looking at place-of-birth data in France. The national
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higher probability of having a
Knowledge (XXG) page because they can become rugby players. In the Hautes-Alpes, we find a high concentration of ice-hockey players. We definitely need further investigation to understand these geographical disparities.
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For each department, we have the number of people born in the department with a
Knowledge (XXG) page over the total number of people born in the department between 1975 and 1990. We compute the probability "per mille" (ie â°).
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It might be interesting to consider the results if all biographies covered by a sport-related wiki-project are excluded, as I believe those may distort the numbers due to the different standards of inclusion.
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provides further results with statistics by occupation (P106 in
Wikidata). There are many football players and sport professionals. It still not clear to me what would be relevant as a good filter.
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I think this is like the education and the professionals, or the lack of reliable sources that makes up the difference. In Africa there are not so many reliable sources and news.
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their results. It can take months or even years before a peer reviewed paper is published. And it may be costly to read the articles, once published. Sometimes a
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212:(the official list of French departments). All my data were collected using a Jupyter notebook written in the R language. The data set is stored in a CSV file.
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You're right. This is a big shortcoming. I'd be happy to find longer birth series. Do you know countries with long birth statistics at the local level?
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sports people will be in. My guess is that there will then be a positive correlation with the proportion of people in that department with degrees.
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approach is faster and answers your specific question better than any available peer-reviewed paper. PAC2 originally published this article
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I was not surprised to find Paris in the first place. The five departments coming after Paris are much more surprising:
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Does birthplace affect the frequency of
Knowledge (XXG) biography articles?: Some evidence from people born in France.
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I collected data about the number of people with a page in
Knowledge (XXG) in French born in each department using a
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become notable after this age. However this is the best available French data to examine my question of interest.
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probably reflects inequality of opportunities between French departments which drives the results.
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statistical institute (Insee) publishes data about the number of people born in each
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between 1975 and 1990 have a 0.2â° chance of having a French
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between 1975 and 1990 have a 0.3â° chance of having a French Knowledge (XXG) page.
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Frequency of French Knowledge (XXG) bios/births per year for French departments
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probability of having a Knowledge (XXG) page depending on your birthplace.
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Does birthplace affect the frequency of Knowledge (XXG) biography articles?
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Probability of having a Knowledge (XXG) page by department of birth
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looked at a similar question for higher education institutions
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Comments and feedback are welcome on my Wikidata talk page!
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with the full dataset and graphics available. CC-BY SA 3.0
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between 1975 and 1990 have a 2.7â° chance of having a
453:If your comment has not appeared here, you can try
508:and found similarly stark disparities. Cheers,
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