As of 2022-03-07, the Wikidata property Telegram username (P3789) is used on 2,466 items as main value on statements (not counting qualifiers) of the Q and P namespaces.

Closest properties: by cardinality of intersection, by Jaccard index.

Display properties of the following types:                                    

Closest properties by cardinality of intersection

IDLabelIntersection cardinalityJaccard index
P31 instance of 2,438
 0.0000
P2013 Facebook ID 1,800
 0.0078
P856 official website 1,778
 0.0012
P2002 Twitter username 1,727
 0.0055
P2003 Instagram username 1,619
 0.0104
P8687 social media followers 1,410
 0.0066
P2397 YouTube channel ID 1,278
 0.0190
P18 image 1,201
 0.0003
P373 Commons category 1,172
 0.0003
P571 inception 1,162
 0.0005
P17 country 1,145
 0.0001
P2671 Google Knowledge Graph ID 1,006
 0.0001
P21 sex or gender 970
 0.0001
P106 occupation 942
 0.0001
P569 date of birth 940
 0.0002
P3185 VK ID 925
 0.0986
P19 place of birth 901
 0.0003
P27 country of citizenship 895
 0.0002
P646 Freebase ID 845
 0.0002
P735 given name 745
 0.0001
P214 VIAF ID 708
 0.0003
P1412 languages spoken, written or signed 706
 0.0003
P159 headquarters location 670
 0.0016
P7859 WorldCat Identities ID 628
 0.0003
P69 educated at 607
 0.0004
P154 logo image 580
 0.0057
P734 family name 530
 0.0002
P244 Library of Congress authority ID 509
 0.0004
P910 topic's main category 465
 0.0007
P213 ISNI 463
 0.0003
P166 award received 360
 0.0006
P227 GND ID 333
 0.0003
P131 located in the administrative territorial entity 332
 0.0000
P463 member of 322
 0.0010
P102 member of political party 320
 0.0007
P1559 name in native language 320
 0.0006
P345 IMDb ID 314
 0.0004
P39 position held 311
 0.0004
P407 language of work or name 311
 0.0000
P5163 Odnoklassniki ID 302
 0.0956
P625 coordinate location 268
 0.0000
P3417 Quora topic ID 262
 0.0014
P103 native language 259
 0.0009
P7085 TikTok username 220
 0.0307
P1448 official name 220
 0.0001
P108 employer 219
 0.0002
P112 founded by 206
 0.0033
P5008 on focus list of Wikimedia project 204
 0.0003
P6782 ROR ID 203
 0.0019
P2427 GRID ID 203
 0.0019

Closest properties by Jaccard index

IDLabelIntersection cardinalityJaccard index
P3185 VK ID 925
 0.0986
P5163 Odnoklassniki ID 302
 0.0956
P8816 Yandex Zen ID 114
 0.0451
P7011 Russian organisation number 154
 0.0420
P3258 LiveJournal ID 143
 0.0339
P7085 TikTok username 220
 0.0307
P4195 category for employees of the organization 116
 0.0210
P2397 YouTube channel ID 1,278
 0.0190
P3267 Flickr user ID 64
 0.0148
P2847 Google+ ID 114
 0.0137
P1661 Alexa rank 78
 0.0134
P1387 political alignment 78
 0.0128
P10230 Viber group ID 31
 0.0125
P8879 Kinorium person ID 46
 0.0122
P6210 LIGA profile 31
 0.0117
P3418 Google Play Store app ID 51
 0.0112
P2003 Instagram username 1,619
 0.0104
P9510 Forbes Russia profile ID 33
 0.0104
P1075 rector 32
 0.0103
P6081 RIA Novosti reference 36
 0.0103
P963 streaming media URL 35
 0.0101
P553 website account on 37
 0.0098
P4174 Wikimedia username 41
 0.0097
P1883 Declarator.org ID 37
 0.0096
P990 audio recording of the subject's spoken voice 34
 0.0094
P3861 App Store app ID 43
 0.0094
P7358 FootballFacts.ru team ID 26
 0.0091
P3761 IPv4 routing prefix 30
 0.0084
P1142 political ideology 139
 0.0083
P7223 Transfermarkt team ID 38
 0.0082
P9694 VK Music artist ID 22
 0.0080
P3912 newspaper format 51
 0.0079
P3899 Medium username 26
 0.0079
P2013 Facebook ID 1,800
 0.0078
P5600 U-Multirank university ID 31
 0.0078
P5769 editor-in-chief 30
 0.0076
P5586 Times Higher Education World University ID 36
 0.0074
P9852 Media Bias/Fact Check ID 33
 0.0074
P1662 DOI prefix 31
 0.0073
P3836 Pinterest username 50
 0.0072
P4264 LinkedIn company ID 91
 0.0072
P3975 secretary general 24
 0.0071
P5797 Twitch channel ID 29
 0.0071
P3391 Verkhovna Rada MP ID 23
 0.0070
P3876 category for alumni of educational institution 124
 0.0070
P6131 Soccerway team ID 26
 0.0069
P5260 App Store developer ID 20
 0.0068
P4379 youth wing 18
 0.0068
P1581 official blog 59
 0.0067
P8919 Gab username 17
 0.0067