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!
author | talhasch | ||||||
---|---|---|---|---|---|---|---|
permlink | hive-user-counts-by-countries-based-on-profile-location-data | ||||||
category | hive-133987 | ||||||
json_metadata | {"links":["https://github.com/talhasch/hive-account-location","https://github.com/geopy/geopy","https://nominatim.org"],"tags":["hive-133987","ecency"],"app":"ecency/0.0.1-vision","format":"markdown+html","community":"ecency.app"} | ||||||
created | 2020-07-13 13:20:42 | ||||||
last_update | 2020-07-13 13:20:42 | ||||||
depth | 0 | ||||||
children | 23 | ||||||
last_payout | 2020-07-20 13:20:42 | ||||||
cashout_time | 1969-12-31 23:59:59 | ||||||
total_payout_value | 5.206 HBD | ||||||
curator_payout_value | 5.356 HBD | ||||||
pending_payout_value | 0.000 HBD | ||||||
promoted | 0.000 HBD | ||||||
body_length | 2,692 | ||||||
author_reputation | 1,415,526,587,433 | ||||||
root_title | "HIVE user counts by countries based on profile location data" | ||||||
beneficiaries |
| ||||||
max_accepted_payout | 1,000,000.000 HBD | ||||||
percent_hbd | 10,000 | ||||||
post_id | 98,497,517 | ||||||
net_rshares | 28,863,390,823,192 | ||||||
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
good-karma | 0 | 1,327,758,410,399 | 100% | ||
rmach | 0 | 8,119,824,120 | 50% | ||
rubenalexander | 0 | 75,347,883,221 | 30% | ||
steevc | 0 | 545,213,109,026 | 40% | ||
foxkoit | 0 | 155,233,682,744 | 84% | ||
penguinpablo | 0 | 551,058,621,240 | 10% | ||
jacobtothe | 0 | 356,569,099,815 | 100% | ||
esteemapp | 0 | 6,065,181,083,235 | 100% | ||
mow | 0 | 1,677,243,939 | 100% | ||
markkujantunen | 0 | 39,959,961,573 | 33% | ||
fredrikaa | 0 | 1,014,341,167,016 | 100% | ||
varunpinto | 0 | 3,376,672,610 | 100% | ||
xels | 0 | 348,234,906,166 | 50% | ||
flurgx | 0 | 14,253,248,470 | 100% | ||
tomaszs77 | 0 | 102,770,461,613 | 100% | ||
masterthematrix | 0 | 134,119,557,415 | 100% | ||
mxzn | 0 | 799,015,433 | 2.5% | ||
mahdiyari | 0 | 443,991,372,510 | 100% | ||
saintopic | 0 | 767,207,169 | 50% | ||
spectrumecons | 0 | 1,401,463,074,588 | 30% | ||
livinguktaiwan | 0 | 425,551,484,002 | 31% | ||
toofasteddie | 0 | 118,245,070,334 | 29% | ||
goldkey | 0 | 78,730,975,288 | 30% | ||
sanjeevm | 0 | 463,154,143,793 | 50% | ||
martibis | 0 | 1,243,654,722 | 6.2% | ||
jeanlucsr | 0 | 15,245,679,791 | 100% | ||
ahlawat | 0 | 870,256,319 | 25% | ||
lowlevel | 0 | 169,554,452 | 100% | ||
nuthman | 0 | 1,339,328,039,120 | 50% | ||
dunsky | 0 | 16,534,856,211 | 100% | ||
tipu | 0 | 1,949,836,720,718 | 5% | ||
jaalig | 0 | 1,388,966,137 | 81% | ||
oivas | 0 | 86,098,833,377 | 100% | ||
drax | 0 | 437,880,269,894 | 100% | ||
revisesociology | 0 | 241,292,698,053 | 20% | ||
omra-sky | 0 | 67,803,944,070 | 40% | ||
vegoutt-travel | 0 | 14,335,624,231 | 30% | ||
joetunex | 0 | 1,061,209,643 | 0.5% | ||
fourfourfun | 0 | 6,677,717,683 | 25% | ||
bartheek | 0 | 6,565,557,758 | 2.5% | ||
neupanedipen | 0 | 23,973,738,204 | 100% | ||
jesusjacr | 0 | 36,140,842,043 | 21% | ||
hijosdelhombre | 0 | 47,549,758,109 | 50% | ||
sinochip | 0 | 13,161,997,878 | 40% | ||
igel2017 | 0 | 137,175,682,865 | 100% | ||
jeenger | 0 | 738,197,118,310 | 100% | ||
holger80 | 0 | 1,053,390,216,836 | 25% | ||
udezee | 0 | 50,973,273,793 | 100% | ||
happy-soul | 0 | 22,834,394,388 | 2.5% | ||
thomasthewolf | 0 | 38,954,542,705 | 59% | ||
idkpdx | 0 | 18,076,355,354 | 100% | ||
reazuliqbal | 0 | 210,434,674,286 | 40% | ||
goldvault | 0 | 11,293,636,085 | 33% | ||
jazmins | 0 | 922,737,121 | 100% | ||
mini-zephalexia | 0 | 6,455,112,034 | 80% | ||
m2nnari | 0 | 19,116,029,023 | 100% | ||
gifty-e | 0 | 845,900,633 | 100% | ||
jazzman123 | 0 | 0 | 100% | ||
tsnaks | 0 | 25,566,999,382 | 100% | ||
dodolzk | 0 | 959,459,016 | 50% | ||
promobot | 0 | 10,627,285,471 | 8.75% | ||
mrs.goldkey | 0 | 2,845,614,516 | 33% | ||
techcoderx | 0 | 135,442,326,947 | 100% | ||
enforcer48 | 0 | 108,767,741,319 | 15% | ||
chrisbolten | 0 | 136,030,061,100 | 100% | ||
apshamilton | 0 | 329,290,888,646 | 100% | ||
longer | 0 | 560,346,922 | 1.25% | ||
yayan | 0 | 2,504,064,464 | 50% | ||
hamismsf | 0 | 572,024,731,462 | 100% | ||
dalz | 0 | 265,571,341,334 | 100% | ||
ekafao | 0 | 917,843,240 | 50% | ||
yaelg | 0 | 48,436,575,381 | 90% | ||
raiseup | 0 | 52,484,928,736 | 10% | ||
steemaction | 0 | 76,817,052,199 | 10% | ||
fullnodeupdate | 0 | 6,351,389,414 | 25% | ||
frot | 0 | 901,348,051,595 | 50% | ||
laissez-faire | 0 | 1,604,328 | 100% | ||
silverkey | 0 | 2,898,594,848 | 33% | ||
silvervault | 0 | 12,470,654,756 | 33% | ||
cryptycoon | 0 | 4,804,059,307 | 33% | ||
cryptoclerk | 0 | 5,092,580,723 | 33% | ||
esteemapp.rus | 0 | 877,065,018 | 100% | ||
actnearn | 0 | 1,238,300,572,644 | 100% | ||
dein-problem | 0 | 0 | -0.25% | ||
jpbliberty | 0 | 524,357,406,342 | 100% | ||
steemitmonsters | 0 | 643,125,396 | 100% | ||
landshutbrauhaus | 0 | 5,568,913,546 | 100% | ||
ichbins | 0 | 14,835,977,019 | 100% | ||
src3 | 0 | 89,043,550,308 | 100% | ||
meliamau | 0 | 1,410,315,259 | 100% | ||
likwid | 0 | 1,240,918,276,734 | 8.75% | ||
lrekt01 | 0 | 2,721,617,229 | 100% | ||
oniemaniego | 0 | 13,432,779,083 | 73% | ||
katrin-lux | 0 | 0 | 100% | ||
bcm | 0 | 4,406,498,084 | 3.75% | ||
redwarbull | 0 | 2,845,551,546 | 33% | ||
der-fahrlehrer | 0 | 970,022,613 | 99% | ||
davidlionfish | 0 | 56,523,573,842 | 100% | ||
novum | 0 | 9,232,911,346 | 100% | ||
kailac | 0 | 9,949,835,371 | 21% | ||
sgerhart | 0 | 54,998,299,738 | 100% | ||
hivebuzz | 0 | 2,839,450,264 | 2% | ||
nachofigx | 0 | 3,469,362,984 | 100% | ||
captainhive | 0 | 543,833,225,878 | 30% | ||
artgrafiken | 0 | 1,036,707,322 | 25% | ||
tht1 | 0 | 3,729,702,697 | 100% | ||
ninnu | 0 | 545,447,877 | 10% | ||
ecency | 0 | 2,043,208,598,904 | 100% | ||
aanjz09123 | 0 | 0 | 100% | ||
olllieeee | 0 | 52,804,520 | 100% | ||
rahmatulyaa24 | 0 | 78,168,957 | 100% | ||
yusron | 0 | 0 | 100% | ||
crypto.preneur | 0 | 0 | 100% | ||
layde | 0 | 0 | 100% |
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.
author | balman |
---|---|
permlink | rln1b8 |
category | hive-133987 |
json_metadata | {"links":["https://heylocate.mobi/track-phone-number/"],"app":"hiveblog/0.1"} |
created | 2022-11-20 08:37:57 |
last_update | 2022-11-20 08:37:57 |
depth | 1 |
children | 0 |
last_payout | 2022-11-27 08:37:57 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 381 |
author_reputation | -10,704,803,437 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 118,474,936 |
net_rshares | 0 |
Wohoooo south africa lol almost at 1%
author | chekohler |
---|---|
permlink | re-talhasch-qdevso |
category | hive-133987 |
json_metadata | {"tags":["hive-133987"],"app":"peakd/2020.07.1"} |
created | 2020-07-13 14:19:39 |
last_update | 2020-07-13 14:19:39 |
depth | 1 |
children | 0 |
last_payout | 2020-07-20 14:19:39 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 37 |
author_reputation | 524,332,427,393,665 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,498,265 |
net_rshares | 1,613,260,928 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
talhasch | 0 | 1,613,260,928 | 100% | ||
chrisbolten | 0 | 0 | 24.2% |
Nice one. We still have some Koreans around :)
author | dalz |
---|---|
permlink | qdev9t |
category | hive-133987 |
json_metadata | {"app":"hiveblog/0.1"} |
created | 2020-07-13 14:08:15 |
last_update | 2020-07-13 14:08:15 |
depth | 1 |
children | 1 |
last_payout | 2020-07-20 14:08:15 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 46 |
author_reputation | 1,902,327,698,470,308 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,498,105 |
net_rshares | 1,681,726,638 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
talhasch | 0 | 1,681,726,638 | 100% |
:)
author | talhasch | ||||||
---|---|---|---|---|---|---|---|
permlink | re-dalz-2020713t233255327z | ||||||
category | hive-133987 | ||||||
json_metadata | {"tags":["ecency"],"app":"ecency/0.0.1-vision","format":"markdown+html","community":"ecency.app"} | ||||||
created | 2020-07-13 20:33:00 | ||||||
last_update | 2020-07-13 20:33:00 | ||||||
depth | 2 | ||||||
children | 0 | ||||||
last_payout | 2020-07-20 20:33:00 | ||||||
cashout_time | 1969-12-31 23:59:59 | ||||||
total_payout_value | 0.000 HBD | ||||||
curator_payout_value | 0.000 HBD | ||||||
pending_payout_value | 0.000 HBD | ||||||
promoted | 0.000 HBD | ||||||
body_length | 2 | ||||||
author_reputation | 1,415,526,587,433 | ||||||
root_title | "HIVE user counts by countries based on profile location data" | ||||||
beneficiaries |
| ||||||
max_accepted_payout | 1,000,000.000 HBD | ||||||
percent_hbd | 10,000 | ||||||
post_id | 98,503,880 | ||||||
net_rshares | 0 | ||||||
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
chrisbolten | 0 | 0 | 100% |
Eh, so unpopular in Russia!
author | dunsky | ||||||
---|---|---|---|---|---|---|---|
permlink | re-talhasch-2020713t192319433z | ||||||
category | hive-133987 | ||||||
json_metadata | {"tags":["hive-133987","ecency"],"app":"esteem/2.2.7-surfer","format":"markdown+html","community":"esteem.app"} | ||||||
created | 2020-07-13 16:23:18 | ||||||
last_update | 2020-07-13 16:23:18 | ||||||
depth | 1 | ||||||
children | 0 | ||||||
last_payout | 2020-07-20 16:23:18 | ||||||
cashout_time | 1969-12-31 23:59:59 | ||||||
total_payout_value | 0.000 HBD | ||||||
curator_payout_value | 0.000 HBD | ||||||
pending_payout_value | 0.000 HBD | ||||||
promoted | 0.000 HBD | ||||||
body_length | 27 | ||||||
author_reputation | 89,801,534,713,187 | ||||||
root_title | "HIVE user counts by countries based on profile location data" | ||||||
beneficiaries |
| ||||||
max_accepted_payout | 1,000,000.000 HBD | ||||||
percent_hbd | 10,000 | ||||||
post_id | 98,500,108 | ||||||
net_rshares | 1,491,824,879 | ||||||
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
talhasch | 0 | 1,491,824,879 | 100% | ||
chrisbolten | 0 | 0 | 24.2% |
> Surprisingly Venezuela is second. I am not surprised by that at all. Neither by Indonesia and Nigeria.
author | enforcer48 |
---|---|
permlink | re-talhasch-qdexe1 |
category | hive-133987 |
json_metadata | {"tags":["hive-133987"],"app":"peakd/2020.07.1"} |
created | 2020-07-13 14:54:00 |
last_update | 2020-07-13 14:54:00 |
depth | 1 |
children | 0 |
last_payout | 2020-07-20 14:54:00 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 105 |
author_reputation | 426,233,073,731,239 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,498,696 |
net_rshares | -1,086,054,179 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
freezepeach | 0 | 326,161,968 | 0.24% | ||
fersher | 0 | -5,740,987,114 | -15% | ||
talhasch | 0 | 1,752,692,638 | 100% | ||
alexbalan | 0 | 2,576,078,329 | 100% |
1990 Kiwis? Have to admit I couldn't name 10 active ones...
author | frot |
---|---|
permlink | re-talhasch-qdqjf9 |
category | hive-133987 |
json_metadata | {"app":"hiveblog/0.1"} |
created | 2020-07-19 21:23:36 |
last_update | 2020-07-20 23:26:03 |
depth | 1 |
children | 0 |
last_payout | 2020-07-26 21:23:36 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 60 |
author_reputation | 94,148,415,747,890 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,610,527 |
net_rshares | 0 |
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)!
author | hivebuzz |
---|---|
permlink | hivebuzz-notify-talhasch-20200713t152426000z |
category | hive-133987 |
json_metadata | {"image":["http://hivebuzz.me/notify.t6.png"]} |
created | 2020-07-13 15:24:24 |
last_update | 2020-07-13 15:24:24 |
depth | 1 |
children | 0 |
last_payout | 2020-07-20 15:24:24 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 1,163 |
author_reputation | 369,201,194,112,997 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,499,170 |
net_rshares | 0 |
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.
author | idkpdx |
---|---|
permlink | re-talhasch-qdfa3o |
category | hive-133987 |
json_metadata | {"tags":["hive-133987"],"app":"peakd/2020.07.1"} |
created | 2020-07-13 19:28:36 |
last_update | 2020-07-13 19:28:36 |
depth | 1 |
children | 0 |
last_payout | 2020-07-20 19:28:36 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 202 |
author_reputation | 22,053,987,631,299 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,502,922 |
net_rshares | 1,523,252,370 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
talhasch | 0 | 1,523,252,370 | 100% | ||
chrisbolten | 0 | 0 | 24.2% |
Interesting stats. Wonder how participation will delope over time?
author | jaalig |
---|---|
permlink | re-talhasch-qdeuf2 |
category | hive-133987 |
json_metadata | {"tags":["hive-133987"],"app":"peakd/2020.07.1"} |
created | 2020-07-13 13:49:51 |
last_update | 2020-07-13 13:49:51 |
depth | 1 |
children | 1 |
last_payout | 2020-07-20 13:49:51 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 66 |
author_reputation | 4,180,103,709,809 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,497,853 |
net_rshares | 1,516,472,295 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
talhasch | 0 | 1,516,472,295 | 100% | ||
chrisbolten | 0 | 0 | 24.2% |
No idea. We'll see...
author | talhasch | ||||||
---|---|---|---|---|---|---|---|
permlink | re-jaalig-2020713t233819884z | ||||||
category | hive-133987 | ||||||
json_metadata | {"tags":["hive-133987"],"app":"ecency/0.0.1-vision","format":"markdown+html","community":"ecency.app"} | ||||||
created | 2020-07-13 20:38:24 | ||||||
last_update | 2020-07-13 20:38:24 | ||||||
depth | 2 | ||||||
children | 0 | ||||||
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cashout_time | 1969-12-31 23:59:59 | ||||||
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curator_payout_value | 0.000 HBD | ||||||
pending_payout_value | 0.000 HBD | ||||||
promoted | 0.000 HBD | ||||||
body_length | 21 | ||||||
author_reputation | 1,415,526,587,433 | ||||||
root_title | "HIVE user counts by countries based on profile location data" | ||||||
beneficiaries |
| ||||||
max_accepted_payout | 1,000,000.000 HBD | ||||||
percent_hbd | 10,000 | ||||||
post_id | 98,503,939 | ||||||
net_rshares | 0 | ||||||
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
chrisbolten | 0 | 0 | 100% |
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.
author | livinguktaiwan |
---|---|
permlink | re-talhasch-qdfiqr |
category | hive-133987 |
json_metadata | {"tags":["hive-133987"],"app":"peakd/2020.07.1"} |
created | 2020-07-13 22:35:18 |
last_update | 2020-07-13 22:35:18 |
depth | 1 |
children | 2 |
last_payout | 2020-07-20 22:35:18 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 162 |
author_reputation | 1,656,445,302,570,807 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,505,419 |
net_rshares | 1,555,308,464 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
talhasch | 0 | 1,555,308,464 | 100% |
The number of people writing in Turkish is few. Since Turkish articles have very low upvote value, everyone writes non-Turkish articles.
author | tht |
---|---|
permlink | qdfug9 |
category | hive-133987 |
json_metadata | {"app":"hiveblog/0.1"} |
created | 2020-07-14 02:48:12 |
last_update | 2020-07-14 02:48:12 |
depth | 2 |
children | 1 |
last_payout | 2020-07-21 02:48:12 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 136 |
author_reputation | 107,807,724,217,243 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,508,346 |
net_rshares | 1,588,018,765 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
talhasch | 0 | 1,588,018,765 | 100% |
That makes sense
author | talhasch | ||||||
---|---|---|---|---|---|---|---|
permlink | re-tht-2020714t83348414z | ||||||
category | hive-133987 | ||||||
json_metadata | {"tags":["ecency"],"app":"ecency/0.0.1-vision","format":"markdown+html","community":"ecency.app"} | ||||||
created | 2020-07-14 05:33:54 | ||||||
last_update | 2020-07-14 05:33:54 | ||||||
depth | 3 | ||||||
children | 0 | ||||||
last_payout | 2020-07-21 05:33:54 | ||||||
cashout_time | 1969-12-31 23:59:59 | ||||||
total_payout_value | 0.000 HBD | ||||||
curator_payout_value | 0.000 HBD | ||||||
pending_payout_value | 0.000 HBD | ||||||
promoted | 0.000 HBD | ||||||
body_length | 16 | ||||||
author_reputation | 1,415,526,587,433 | ||||||
root_title | "HIVE user counts by countries based on profile location data" | ||||||
beneficiaries |
| ||||||
max_accepted_payout | 1,000,000.000 HBD | ||||||
percent_hbd | 10,000 | ||||||
post_id | 98,509,955 | ||||||
net_rshares | 0 | ||||||
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
chrisbolten | 0 | 0 | 100% |
Lol, where are all those Indians? Why can't I see them.
author | looftee |
---|---|
permlink | qdpy9r |
category | hive-133987 |
json_metadata | {"app":"hiveblog/0.1"} |
created | 2020-07-19 13:46:39 |
last_update | 2020-07-19 13:46:39 |
depth | 1 |
children | 0 |
last_payout | 2020-07-26 13:46:39 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 56 |
author_reputation | 22,447,007,592,745 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,604,002 |
net_rshares | 1,752,731,428 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
talhasch | 0 | 1,752,731,428 | 100% |
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!
author | revisesociology |
---|---|
permlink | re-talhasch-qdeym0 |
category | hive-133987 |
json_metadata | {"tags":["hive-133987"],"app":"peakd/2020.07.1"} |
created | 2020-07-13 15:20:24 |
last_update | 2020-07-13 15:20:24 |
depth | 1 |
children | 2 |
last_payout | 2020-07-20 15:20:24 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 215 |
author_reputation | 2,259,716,985,207,714 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,499,110 |
net_rshares | 1,621,383,848 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
talhasch | 0 | 1,621,383,848 | 100% |
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.
author | talhasch | ||||||
---|---|---|---|---|---|---|---|
permlink | re-revisesociology-2020714t84134634z | ||||||
category | hive-133987 | ||||||
json_metadata | {"tags":["hive-133987"],"app":"ecency/0.0.1-vision","format":"markdown+html","community":"ecency.app"} | ||||||
created | 2020-07-14 05:41:39 | ||||||
last_update | 2020-07-14 05:41:39 | ||||||
depth | 2 | ||||||
children | 1 | ||||||
last_payout | 2020-07-21 05:41:39 | ||||||
cashout_time | 1969-12-31 23:59:59 | ||||||
total_payout_value | 0.000 HBD | ||||||
curator_payout_value | 0.000 HBD | ||||||
pending_payout_value | 0.000 HBD | ||||||
promoted | 0.000 HBD | ||||||
body_length | 235 | ||||||
author_reputation | 1,415,526,587,433 | ||||||
root_title | "HIVE user counts by countries based on profile location data" | ||||||
beneficiaries |
| ||||||
max_accepted_payout | 1,000,000.000 HBD | ||||||
percent_hbd | 10,000 | ||||||
post_id | 98,510,011 | ||||||
net_rshares | 0 | ||||||
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
chrisbolten | 0 | 0 | 100% |
OK cheers, I don't know too much about Python and what it connects too, thanks for clarification!
author | revisesociology |
---|---|
permlink | re-talhasch-qdg7v9 |
category | hive-133987 |
json_metadata | {"tags":["hive-133987"],"app":"peakd/2020.07.1"} |
created | 2020-07-14 07:37:54 |
last_update | 2020-07-14 07:37:54 |
depth | 3 |
children | 0 |
last_payout | 2020-07-21 07:37:54 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 98 |
author_reputation | 2,259,716,985,207,714 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,511,233 |
net_rshares | 0 |
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.  and [Steemit](https://hypestat.com/info/steemit.com) 
author | steevc |
---|---|
permlink | re-talhasch-qdevgg |
category | hive-133987 |
json_metadata | {"tags":["hive-133987"],"app":"peakd/2020.07.1"} |
created | 2020-07-13 14:12:18 |
last_update | 2020-07-13 14:12:54 |
depth | 1 |
children | 0 |
last_payout | 2020-07-20 14:12:18 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 540 |
author_reputation | 1,369,314,525,272,334 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,498,157 |
net_rshares | 1,647,192,255 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
talhasch | 0 | 1,647,192,255 | 100% |
I am sure STEEM users are from Korea and China mainly now. Good stats! @tipu curate
author | toofasteddie |
---|---|
permlink | re-talhasch-qdeulu |
category | hive-133987 |
json_metadata | {"tags":["hive-133987"],"app":"peakd/2020.07.1"} |
created | 2020-07-13 13:54:00 |
last_update | 2020-07-13 13:54:00 |
depth | 1 |
children | 2 |
last_payout | 2020-07-20 13:54:00 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 84 |
author_reputation | 662,651,564,024,151 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,497,933 |
net_rshares | 1,548,415,569 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
talhasch | 0 | 1,548,415,569 | 100% |
Yeah, thats for sure. Thanks!
author | talhasch | ||||||
---|---|---|---|---|---|---|---|
permlink | re-toofasteddie-2020713t17119117z | ||||||
category | hive-133987 | ||||||
json_metadata | {"tags":["hive-133987"],"app":"ecency/0.0.1-vision","format":"markdown+html","community":"ecency.app"} | ||||||
created | 2020-07-13 14:11:12 | ||||||
last_update | 2020-07-13 14:11:12 | ||||||
depth | 2 | ||||||
children | 0 | ||||||
last_payout | 2020-07-20 14:11:12 | ||||||
cashout_time | 1969-12-31 23:59:59 | ||||||
total_payout_value | 0.000 HBD | ||||||
curator_payout_value | 0.000 HBD | ||||||
pending_payout_value | 0.000 HBD | ||||||
promoted | 0.000 HBD | ||||||
body_length | 29 | ||||||
author_reputation | 1,415,526,587,433 | ||||||
root_title | "HIVE user counts by countries based on profile location data" | ||||||
beneficiaries |
| ||||||
max_accepted_payout | 1,000,000.000 HBD | ||||||
percent_hbd | 10,000 | ||||||
post_id | 98,498,142 | ||||||
net_rshares | 0 |
<a href="https://tipu.online/hive_curator?toofasteddie" target="_blank">Upvoted 👌</a> (Mana: 0/5)
author | tipu |
---|---|
permlink | re-re-talhasch-qdeulu-20200713t135409 |
category | hive-133987 |
json_metadata | "" |
created | 2020-07-13 13:54:09 |
last_update | 2020-07-13 13:54:09 |
depth | 2 |
children | 0 |
last_payout | 2020-07-20 13:54:09 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 106 |
author_reputation | 55,902,105,514,997 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,497,938 |
net_rshares | 0 |
Thanks for very interesting statistics Sad that Estonia didn't make the list
author | tsnaks |
---|---|
permlink | re-talhasch-qdf4x6 |
category | hive-133987 |
json_metadata | {"tags":["hive-133987"],"app":"peakd/2020.07.1"} |
created | 2020-07-13 17:36:42 |
last_update | 2020-07-13 17:36:42 |
depth | 1 |
children | 0 |
last_payout | 2020-07-20 17:36:42 |
cashout_time | 1969-12-31 23:59:59 |
total_payout_value | 0.000 HBD |
curator_payout_value | 0.000 HBD |
pending_payout_value | 0.000 HBD |
promoted | 0.000 HBD |
body_length | 77 |
author_reputation | 64,853,784,165,642 |
root_title | "HIVE user counts by countries based on profile location data" |
beneficiaries | [] |
max_accepted_payout | 1,000,000.000 HBD |
percent_hbd | 10,000 |
post_id | 98,501,254 |
net_rshares | 1,580,959,649 |
author_curate_reward | "" |
voter | weight | wgt% | rshares | pct | time |
---|---|---|---|---|---|
talhasch | 0 | 1,580,959,649 | 100% |