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HIVE user counts by countries based on profile location data by talhasch

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· @talhasch ·
$10.56
HIVE user counts by countries based on profile location data
I prepared this analysis result a couple weeks ago but haven't published since we have been quite busy recently working on ecency. It's better to publish before i forget this small project ever existed :)

Analysis result is based on "location" field in account data.
 
Although not all users fill that field or some of them enter non-location text, the result provides a general overview.

## Input

Data source comes from hivemind's db with query below:

```SELECT location from hive_accounts where location != '';```

Result dataset size was **249465** while i was working on the project.

## Code

Project source code is [here](https://github.com/talhasch/hive-account-location). It uses [geopy](https://github.com/geopy/geopy) and OpenStreetMap's [Nominatim](https://nominatim.org) API for location detection from raw text. 

You can see lots of caching mechanisms in code. Since it is a long running script, i didn't want to start over to data collection from zero every time it crashes or stalls.

It took almost 32 hours to complete it at background and extracted **234117** country out of raw dataset.

## Result 🎉

| Country     | Count    |  Percent |
| -------- | -------- | -------- |
| 🇺🇸 United States | 43051 | 18.39% |
| 🇻🇪 Venezuela, Bolivarian Republic of | 20380 | 8.71% |
| 🇮🇩 Indonesia | 18221 | 7.78% |
| 🇮🇳 India | 12047 | 5.15% |
| 🇳🇬 Nigeria | 9479 | 4.05% |
| 🇩🇪 Germany | 9051 | 3.87% |
| 🇬🇧 United Kingdom | 8816 | 3.77% |
| 🇰🇷 Korea, Republic of | 7443 | 3.18% |
| 🇨🇦 Canada | 7372 | 3.15% |
| 🇧🇩 Bangladesh | 6906 | 2.95% |
| 🇵🇭 Philippines | 6496 | 2.77% |
| 🇦🇺 Australia | 4584 | 1.96% |
| 🇵🇰 Pakistan | 4454 | 1.90% |
| 🇹🇷 Turkey | 3455 | 1.48% |
| 🇫🇷 France | 3415 | 1.46% |
| 🇵🇱 Poland | 3313 | 1.42% |
| 🇨🇳 China | 2959 | 1.26% |
| 🇪🇸 Spain | 2749 | 1.17% |
| 🇳🇱 Netherlands | 2602 | 1.11% |
| 🇮🇹 Italy | 2459 | 1.05% |
| 🇧🇷 Brazil | 2253 | 0.96% |
| 🇷🇺 Russian Federation | 2249 | 0.96% |
| 🇲🇾 Malaysia | 2156 | 0.92% |
| 🇿🇦 South Africa | 2155 | 0.92% |
| 🇲🇽 Mexico | 2005 | 0.86% |
| 🇳🇿 New Zealand | 1990 | 0.85% |
| 🇨🇴 Colombia | 1872 | 0.80% |
| 🇩🇴 Dominican Republic | 1765 | 0.75% |
| 🇷🇴 Romania | 1639 | 0.70% |
| 🇻🇳 Viet Nam | 1425 | 0.61% |
| 🇯🇵 Japan | 1402 | 0.60% |
| 🇦🇷 Argentina | 1314 | 0.56% |
| 🇦🇹 Austria | 1255 | 0.54% |
| 🇹🇭 Thailand | 1145 | 0.49% |
| 🇺🇦 Ukraine | 1135 | 0.48% |
| 🇨🇭 Switzerland | 1110 | 0.47% |
| 🇬🇷 Greece | 1073 | 0.46% |
| 🇧🇪 Belgium | 931 | 0.40% |
| 🇵🇹 Portugal | 919 | 0.39% |
| 🇸🇪 Sweden | 912 | 0.39% |


Of course US in the top of the list. Surprisingly Venezuela is second. Also Turkey surprised me. It is quite top of the list. I didn't know that amount of users from my country around here.


Hive on!
👍  , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and 49 others
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vote details (114)
@balman ·
With the help of the location, you can really collect a lot of information. Sometimes such accessibility and opportunities even scare. [GPS phone tracker](https://heylocate.mobi/track-phone-number/) showed all available features in this question. I realized that even with minimal information, you can do an advanced search and find out a lot of details about a person of interest.
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@chekohler ·
Wohoooo south africa lol almost at 1%
👍  ,
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@dalz ·
Nice one.
We still have some Koreans around :)
👍  
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@talhasch ·
:)
👍  
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@dunsky ·
Eh, so unpopular in Russia!
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vote details (2)
@enforcer48 ·
> Surprisingly Venezuela is second.

I am not surprised by that at all. Neither by Indonesia and Nigeria.
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vote details (4)
@frot · (edited)
1990 Kiwis?

Have to admit I couldn't name 10 active ones...
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@hivebuzz ·
Congratulations @talhasch! You have completed the following achievement on the Hive blockchain and have been rewarded with new badge(s) :

<table><tr><td><img src="https://images.hive.blog/60x70/http://hivebuzz.me/@talhasch/upvoted.png?202007131503"></td><td>You received more than 200 upvotes. Your next target is to reach 300 upvotes.</td></tr>
</table>

<sub>_You can view [your badges on your board](https://hivebuzz.me/@talhasch) And compare to others on the [Ranking](https://hivebuzz.me/ranking)_</sub>
<sub>_If you no longer want to receive notifications, reply to this comment with the word_ `STOP`</sub>


To support your work, I also upvoted your post!


**Do not miss the last post from @hivebuzz:**
<table><tr><td><a href="/hive-139531/@hivebuzz/api"><img src="https://images.hive.blog/64x128/https://i.imgur.com/4qjwaYD.png"></a></td><td><a href="/hive-139531/@hivebuzz/api">Introducing the HiveBuzz API for applications and websites</a></td></tr></table>

###### Support the HiveBuzz project. [Vote](https://hivesigner.com/sign/update_proposal_votes?proposal_ids=%5B%22109%22%5D&approve=true) for [our proposal](https://peakd.com/me/proposals/109)!
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@idkpdx ·
I'm actually surprised to see the United States as number 1. I live in the states, but have noticed that interactions on Hive and the discord see more conversations during the night instead of the day. 
👍  ,
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@jaalig ·
Interesting stats. Wonder how participation will delope over time?
👍  ,
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@talhasch ·
No idea. We'll see...
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@livinguktaiwan ·
I'm surprised UK has that many people!!  As to Turkey, a while ago I spoke to someone from Turkey and he reckons there's only about 20 to 30 users in the country.
👍  
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@tht ·
The number of people writing in Turkish is few. Since Turkish articles have very low upvote value, everyone writes non-Turkish articles.
👍  
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@talhasch ·
That makes sense
👍  
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@looftee ·
Lol, where are all those Indians?

Why can't I see them.
👍  
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vote details (1)
@revisesociology ·
Interesting - does the code recognise that 'Manchester' and 'Swansea' are both from Britain? 

It's interesting how many people misfilled that section in!

It does take a long time to scour the entire chain I guess!
👍  
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@talhasch ·
 Yes, it recognizes that 'Manchester' and 'Swansea' are both from UK. You can check on [OpenStreetMap](https://www.openstreetmap.org/#map=11/51.6199/-3.9459) manually. The code uses  Nominatim API. So same data as on openstreetmap.org.
👍  
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@revisesociology ·
OK cheers, I don't know too much about Python and what it connects too, thanks for clarification! 
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@steevc · (edited)
I am surprised that many accounts had a location and many will not have a real value there. I would expect Korea to be higher as they seem to have a lot of active users for Steem. Most of these will have joined before Hive started anyway.

These are web stats [for hive](https://hypestat.com/info/hive.blog) for contrast. 

![image.png](https://files.peakd.com/file/peakd-hive/steevc/DlWkoKNL-image.png)

and [Steemit](https://hypestat.com/info/steemit.com)

![image.png](https://files.peakd.com/file/peakd-hive/steevc/M2RZs5lk-image.png)

👍  
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vote details (1)
@toofasteddie ·
I am sure STEEM users are from Korea and China mainly now.
Good stats!
@tipu curate
👍  
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vote details (1)
@talhasch ·
Yeah, thats for sure. Thanks!
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@tipu ·
<a href="https://tipu.online/hive_curator?toofasteddie" target="_blank">Upvoted  &#128076;</a> (Mana: 0/5)
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@tsnaks ·
Thanks for very interesting statistics

Sad that Estonia didn't make the list
👍  
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vote details (1)