Grokipedia vs Wikipedia: Quantitative Analysis (video)

Recently, Grokipedia v0.1 was released — an AI-based knowledge system inspired by Wikipedia. But how complete is it? And what does its topic coverage look like compared to Wikipedia? Moreover, how does it differ across the many language editions of the world’s largest encyclopedia?

Wikipedia exists in hundreds of languages, but the topics covered vary widely from one edition to another. Some language communities focus more on science, others emphasize culture, geography, or biographies. These editorial and cultural priorities shape the way knowledge appears in each language.

In this breaf analysis, we look at 16 language editions of Wikipedia and Grokipedia, comparing:

  • the number of articles across various topics
  • the share of each topic within every knowledge base

All Wikipedia data come from the official dumps dated 1 November 2025, ensuring up-to-date and consistent results.

General Statistics

Let’s start from general statistics – total number of articles in 16 selected language versions of Wikipedia and Grokipedia v0.1:

  • English Wikipedia (en.wikipedia.org): 7,084,648
  • German Wikipedia (de.wikipedia.org) 3,065,206
  • French Wikipedia (fr.wikipedia.org): 2,718,020
  • Swedish Wikipedia (sv.wikipedia.org): 2,619,206
  • Dutch Wikipedia (nl.wikipedia.org): 2,200,983
  • Russian Wikipedia (ru.wikipedia.org): 2,069,606
  • Spanish Wikipedia (es.wikipedia.org): 2,003,504
  • Italian Wikipedia (it.wikipedia.org): 1,942,407
  • Polish Wikipedia (pl.wikipedia.org): 1,673,513
  • Chinese Wikipedia (zh.wikipedia.org): 1,508,209
  • Japanese Wikipedia (ja.wikipedia.org): 1,478,676
  • Ukrainian Wikipedia (uk.wikipedia.org): 1,395,976
  • Vietnamese Wikipedia (vi.wikipedia.org): 1,296,664
  • Arabic Wikipedia (ar.wikipedia.org): 1,284,243
  • Portuguese Wikipedia (pt.wikipedia.org): 1,159,003
  • Persian Wikipedia (fa.wikipedia.org): 1,060,282
  • Grokipedia v0.1 (grokipedia.com): 885,279

Almost all articles in Grokipedia have corresponding articles in English Wikipedia. 24,288 article titles from Grokipedia were matched to corresponding Wikipedia articles through the redirect analysis. However, 3,536 Grokipedia articles were excluded from the analysis because there is no direct match to any title in English Wikipedia.

How Articles Were Assigned to Topics

Before diving into the results, let’s briefly explain how the articles were categorized. Often Wikipedia articles connected with corresponding Wikidata items, which contain such standardized properties as: “instance of” (P31), “country” (P17), “occupation” (P106). This allows us to identify what each article represents — whether it’s a city, a person, a company, a scientific concept, or something else.

However, Wikidata properties can be too specific or inconsistent for large-scale analysis. For example, one city might be described as a metropolis, another as a city-state, capital, or big city — yet they all belong to the same conceptual category. To standardize this, additionally a broader classification system was applied — the same is used on the WikiRank which organizes millions of Wikipedia articles into high-level topics such as: automobiles, books, films, buildings, cryptocurrencies, cities, programming languages, video games, biology, astronomy, and others (more information on this classification can be found in research studies [1], [2], [3]).

For example, let’s explore articles about Poznań. In Grokipedia, there’s a page titled “Poznań” describing the Polish city. If we check English Wikipedia, we can find article with the same title, and from there, we can easily switch to other language versions (e.q., Polish, German, French, Spanish) and find (different) titles related to that city. We can also easily find a corresponding Wikidata item Q268, which contains such statements as:

  • “instance of”: “urban municipality of Poland” (WikiRank topic: cities)
  • “instance of”: “city with powiat rights in Poland” (WikiRank topic: cities)
  • “instance of”: “big city” (WikiRank topic: cities)
  • “contry”: “Poland”
  • and others…

Based on certain statements, we can align Grokipedia and Wikipedia article about about Poznań to such topics as “big city,” “urban municipality of Poland,” and “Poland,” as well as to the more general topic “cities”.

Due to space limitations and the large number of unique statements in Wikidata items, the analysis presents only the top 33 most frequently used values for each of the selected properties (related to all considered Grokipedia and Wikipedia articles from selected languages): “instance of” (P31), “country” (P17), “occupation” (P106).

Number of articles

The best results for each topic are highlighted in green.

Numbers: Wikidata property “instance of” (P31)

Expand table
topic grok ar de en es fa fr it ja nl pl pt ru sv vi uk zh
human 232461 547326 997513 2070101 550412 301547 746194 502697 440634 272706 445915 276852 597907 294656 78108 298706 337050
taxon 14734 39026 56276 459315 216800 32398 144854 40805 18337 914450 60326 110584 59130 1315400 786874 66784 118137
Wikimedia disambiguation page 11044 33454 339541 336978 60137 24353 156297 130862 81646 95347 93045 31154 188807 78713 12092 79611 57834
film 38654 16216 43086 156435 35793 37073 74566 59006 24901 20840 19383 27645 34760 16601 3914 25187 15282
commune of France 583 3413 37672 37489 37842 5767 39829 37100 2230 37851 37383 37204 16782 36717 36684 37383 36500
Wikimedia list article 29068 9120 99762 133825 1456 5912 35757 16569 13356 33315 8345 14986 19174 6543 4910 11920 18209
human settlement 3057 30333 19028 84180 21817 34616 30695 15242 5792 20225 29014 12141 41096 50693 21741 25172 9772
album 20431 945 13851 143676 32017 3756 28877 61920 28589 12723 24836 17369 19887 18658 1781 8456 7320
village 1087 29533 14355 89669 10251 70159 30733 9783 505 14328 46793 3736 45300 26433 2224 43573 2250
sports season 5416 16729 41284 94882 26130 2772 33218 42056 7831 18487 23158 11989 20749 9672 3181 12573 5887
business 15828 5629 23593 57876 9083 11890 16634 9868 34891 7124 6090 8132 11030 9201 1623 5502 12210
asteroid 52 26105 7778 3144 13033 16213 44429 25539 3276 268 15739 10455 3122 16303 18003 15038 12434
village of Poland 12 88 9267 51548 4460 8957 42325 149 31 5356 55496 145 1622 151 3672 42823 40
literary work 9204 9853 14739 62257 13771 5168 22526 17637 8411 4903 7470 6761 10234 5728 1119 7671 5908
single 10416 879 3915 48263 13303 3170 10501 29684 29444 10277 9117 9628 7764 4295 2269 2653 5544
hamlet 44 164 4033 15375 2755 3544 1477 291 23 1596 7597 139 92020 871 57 47836 153
river 908 1814 19781 33166 6509 3656 13093 5734 3802 3929 6773 7207 34726 12466 1068 9380 11261
musical group 8587 809 19359 40911 11536 1588 14438 10339 10922 8580 7460 7274 6931 7561 752 3613 2046
railway station 971 563 3850 41061 8106 503 11600 8199 14625 14587 15846 1884 5914 837 1043 3691 20680
Wikimedia human name disambiguation page 635 649 21684 61476 3995 639 14927 6630 5576 4591 4965 1320 13096 7693 826 1550 1880
television series 13417 6805 7576 41326 11040 5518 10032 9242 5734 4022 4753 8019 5063 4013 2059 2654 8896
musical work/composition 7837 835 9421 40449 13648 2535 14995 9867 7851 10275 3667 5848 6612 6497 1780 2556 3144
church building 623 517 31759 24449 6991 878 17000 16406 493 8159 10144 2863 4813 5864 360 3704 2749
video game 7105 4331 5228 27384 10187 2843 15897 11533 13380 4919 3466 5998 8297 4417 1644 3232 7076
city in the United States 3975 9529 4757 9630 9588 9592 9584 9571 1593 9523 9569 9460 3592 6241 5224 9579 8485
municipality without town privileges in Germany 50 1252 9254 9219 8318 8945 9124 9218 1642 9203 9208 9018 9124 9067 8105 8959 8791
mountain 1061 2603 20043 25875 4840 5156 8019 6481 3715 2941 5850 1993 3279 20838 428 2195 12800
lake 464 804 7424 12510 2234 965 4293 1486 636 1382 3854 804 7611 72334 251 1479 6827
commune of Italy 557 5533 7863 7863 7780 7448 7830 7885 7850 7781 7758 7763 7770 7856 6769 7802 7801
association football club 3719 4807 9563 26277 10743 3865 8417 6872 3764 8900 7421 6592 5896 3056 2421 5457 3234
type of chemical entity 4168 5496 11352 21035 5800 9239 7498 5284 7757 4206 3661 4395 9612 1955 4070 2469 12809
island 1379 2106 8304 11782 5070 1335 8065 4312 2364 4476 2659 2125 3645 47123 1056 2291 4914
family name 714 181 7677 69977 607 323 4557 2942 696 676 1229 233 8354 2171 284 3845 1201

Numbers: Wikidata property “country” (P17)

Expand table
topic grok ar de en es fa fr it ja nl pl pt ru sv vi uk zh
United States 68924 46267 58713 551309 99641 63867 94182 67191 30499 46394 50429 51276 35765 29744 37129 50551 88014
France 5974 12461 83242 83818 58681 11856 207867 64416 8467 63843 49959 47835 30021 43152 42246 44287 47576
Germany 4891 7606 313594 54761 20167 17120 31858 31112 7548 36564 26360 17210 23624 18252 12222 17071 21773
Russia 3058 5143 13627 47174 9697 17084 13252 14384 4939 6649 21456 4038 285133 3492 4198 105256 15233
United Kingdom 21358 11500 32647 187415 19376 15076 36563 24705 7640 25063 29911 9806 12530 30555 3811 7917 12885
Poland 1276 1342 25394 68186 7404 13165 50351 6249 1131 14862 176298 4851 10895 1792 7878 52210 3219
Japan 4598 4545 10148 42633 8100 8348 16904 12362 247892 4912 5804 5091 8240 3557 3992 5911 32882
Italy 4515 9750 29853 41448 20406 11772 32521 132706 12533 19406 16765 15691 16454 12977 8886 12515 14807
Spain 3294 9917 20419 37897 107685 6518 26370 20370 3870 14736 14302 15762 14550 17910 8203 11192 11783
People’s Republic of China 3639 3533 10277 38331 6558 5600 10638 7089 14151 4015 4349 3307 8552 26245 5969 4473 135370
Ukraine 1315 2111 7167 12833 4552 1579 5427 3112 1609 1476 19707 1422 52476 1122 1515 101532 26072
Iran 866 30479 2139 61294 1300 102081 2310 2443 754 676 1883 1273 2550 11639 335 5850 1397
Sweden 1355 1816 8342 16656 2991 2263 6838 5068 1316 10083 5464 3170 3161 147282 767 3441 1661
India 17230 3220 6605 92254 8671 5615 6225 8100 2355 6187 3176 6141 4144 6404 25261 2285 7873
Canada 6915 3779 11903 78389 8300 7032 35320 6326 3239 4567 5331 5380 6037 16799 748 5376 4954
Brazil 1408 3600 7013 24376 11715 2857 12898 12065 1681 11827 7105 63885 9419 11768 6179 2750 7778
Netherlands 1631 2175 7992 15383 3347 3593 9689 5234 1607 88451 3531 2716 3199 1877 843 4576 2074
Soviet Union 1917 3336 7304 14798 5857 6718 7638 9303 2952 4037 9074 2783 42957 2695 3612 18199 9795
Australia 5323 2615 10100 69370 4134 4398 7842 5924 2295 4676 5130 2641 3261 10963 1324 2124 3333
Switzerland 1366 2724 28609 16018 6237 2401 14015 12259 1639 6612 5201 4883 4584 7041 1251 4570 5937
Turkey 1824 3977 7629 31810 3119 6327 4776 5844 1135 3805 2157 2062 3878 986 37540 2559 2043
Indonesia 1321 2439 2977 11008 1521 1221 2942 1649 1307 49341 2207 1099 1682 31518 909 1132 2501
Belgium 1185 2043 6425 11252 4019 1595 25897 5741 1327 40318 5072 2284 2630 2311 1031 1510 2023
Mexico 1621 1253 3804 16085 27664 1223 4449 4228 1123 1987 1968 3423 4310 35080 2883 1103 1390
Austria 935 1392 42502 10076 4182 3150 7174 6257 1147 5991 5245 3337 4654 6724 1977 2922 5772
Czech Republic 600 874 13639 11925 7601 6264 8819 8342 856 8474 13186 6896 2875 7256 6811 1721 1672
Finland 725 1277 3841 8188 1735 1625 7776 2467 857 1994 2097 946 2968 59397 530 1440 1478
Russian Empire 1019 2085 4586 8386 3517 4083 4762 5520 1728 2470 5853 1430 30402 1767 1094 11916 6047
Romania 727 1343 4396 11848 4006 1148 5511 5451 616 4610 16858 6512 2234 892 3074 17846 3809
Portugal 943 1345 8743 8971 9814 809 5598 3293 707 5588 2459 25909 6133 815 601 3180 2421
Argentina 812 1457 3039 9650 24881 1600 4794 4198 834 2458 2030 4720 2728 3170 358 1085 1991
Norway 900 1612 5956 19293 3159 1464 7757 3517 819 4785 2843 1501 2625 6915 669 1514 1565
Greece 1444 2828 4717 12249 4032 1151 9606 4595 930 1996 2344 1628 3754 5766 587 2115 1729

Numbers: Wikidata property “occupation” (P106)

Expand table
topic grok ar de en es fa fr it ja nl pl pt ru sv vi uk zh
politician 24576 66896 132582 294063 60481 25057 106912 48721 37466 36905 49887 37719 62508 36102 11909 31612 79655
association football player 16972 106397 76757 216668 67657 79286 59647 95329 29067 35998 53124 27003 61699 20726 22799 42335 18448
actor 45801 43317 47972 103556 46081 40530 52606 39152 34681 19377 23488 23526 33282 23667 6933 16231 20512
writer 18486 40763 76475 118561 48010 18734 60590 34115 15615 20466 25158 24242 43340 27495 5209 21999 14470
university teacher 5765 18632 83638 60019 20890 9702 30659 16747 9808 12313 17270 15199 23891 12043 2443 11261 8325
film actor 26097 22989 39443 45232 25944 25380 28761 23968 11758 13618 15200 14516 18914 13375 3696 9590 10286
singer 18776 17890 23434 50420 22513 12950 22888 17721 14013 13128 10636 12506 13711 11603 3964 7369 9750
television actor 25684 18394 18888 39566 18789 18649 19065 17144 9052 10675 10515 11668 12639 9359 3141 5994 8587
journalist 8489 17873 29134 55940 20134 6609 24797 13372 6324 7213 11852 9803 16434 10494 1737 8808 4974
painter 2751 8809 36725 48822 16649 4145 32172 15543 9127 11047 9304 6773 18634 12086 1046 9198 3617
composer 8413 11508 31111 42557 16377 7196 21658 14317 12044 13182 10042 8375 14694 9167 1659 6073 4097
screenwriter 12069 13937 21904 35619 14233 14033 24294 15573 8795 6619 8453 8574 12586 8151 1803 6479 5635
film director 11546 13005 20815 36949 14314 14247 24363 14443 8756 5854 7653 8179 11589 6838 1782 5568 5381
poet 3966 14248 15687 37578 15684 6900 19576 11442 5897 5932 10321 7211 18093 7976 2231 9269 6055
military personnel 4401 7811 15250 36258 14834 4485 15961 9918 8701 4686 8195 6309 19179 8341 2144 19006 9051
lawyer 5188 17213 21847 50019 13926 4338 13820 6659 4539 4880 6793 5670 6631 6115 1254 3338 3637
stage actor 9437 8500 22345 19352 10268 10471 12263 11194 4634 5406 6169 5559 8162 6188 1274 4259 3423
basketball player 4901 10799 7288 27255 13626 5136 12490 24824 4696 2444 7241 4027 5439 2177 144 1793 6078
association football coach 2551 13093 8963 25156 8577 10180 10213 12574 3216 4675 8818 5296 9122 2592 1338 7206 2729
historian 1910 7706 18982 26775 8741 3156 14885 6920 5282 3326 8065 4451 11121 4671 634 5241 3618
Catholic priest 986 2699 24324 21909 8366 670 15312 13564 1061 4242 16830 9889 7039 1812 1288 2214 1606
athletics competitor 900 6384 18716 26400 8280 3639 12221 7808 3239 5029 12362 2517 7170 7187 540 2610 3207
businessperson 6819 9316 8595 35853 7699 3454 9453 3540 13617 2614 3104 3809 4534 5207 1092 2230 4593
diplomat 2620 6749 14835 23825 8357 3272 10410 5573 4390 3472 7413 3991 10541 4707 1311 5776 5533
musician 6756 6787 14806 24301 8350 3761 9722 6166 5137 4755 4512 4526 6223 5276 816 3128 1801
sport cyclist 443 5496 15097 17862 8554 6525 17078 6965 1768 9954 4907 7829 3140 2038 63 1129 1373
film producer 7138 6999 10897 16766 6572 7245 10098 6944 4685 3833 4283 4867 5540 4063 1253 3033 2943
novelist 3875 10478 7625 19598 6429 3377 10440 5229 7756 2633 3401 3695 4476 3559 806 2799 2943
military officer 2846 5938 10083 17056 4172 2700 9825 4388 2569 2567 8019 3136 12193 2894 1173 5267 2583
physician 1482 5220 11713 18460 6951 2478 8899 4844 3248 2570 6148 4172 6730 4432 703 3170 2283
engineer 2204 5840 9614 20190 5278 2878 8045 4785 3194 2828 6329 4478 5734 3909 644 2699 2543
ice hockey player 2247 5605 13671 22056 969 1610 10730 3265 425 467 3593 318 9890 8225 19 5954 1927
songwriter 7593 6836 7173 19309 6085 3682 6700 5588 2956 4062 3406 4060 4163 4050 1044 2176 1863

Numbers: WikiRank classification

Expand table
topic grok ar de en es fa fr it ja nl pl pt ru sv vi uk zh
automobiles 4024 1303 7926 7042 2719 3272 5165 5174 3030 2454 3874 2421 4350 2126 103 3324 1040
books 12256 12458 18496 80581 17558 8519 31352 22635 10522 9167 9156 8989 13527 7971 1502 9272 7701
buildings 16268 16649 119013 223138 53628 25832 94723 60734 59847 56677 58014 23689 37922 24061 8368 26426 57696
cities 10721 21913 20247 30910 29688 24763 26620 25440 9423 23230 25004 22823 17572 20624 14738 22137 22924
company 28556 12550 60240 130723 24081 20644 37871 20691 49326 20397 14889 16938 22971 16680 4111 12805 22685
cryptocurrencies 34 41 39 61 38 30 41 20 38 12 16 36 46 11 10 37 36
events 26302 36923 99165 323278 60308 12970 88268 152660 29894 53720 51927 36997 55053 23301 12712 36274 27216
films 41844 17651 55042 173914 39934 40672 88489 82715 27597 22904 22377 32131 40543 18933 4679 28376 16859
people 232461 547326 997513 2070101 550412 301547 746194 502697 440634 272706 445915 276852 597907 294656 78108 298706 337050
paintings 1144 710 1794 10239 5081 972 9702 7632 3506 2230 2974 1745 3899 1274 194 1603 1104
programming languages 349 250 502 1133 446 301 525 354 435 218 301 369 498 184 114 326 377
shops 2562 571 3468 12973 1595 1031 2610 1030 2494 2108 847 1046 1168 1229 245 646 1430
software 1642 997 2609 6825 2271 902 2340 1579 2394 944 1294 1462 2393 723 537 1363 1996
taxons 16571 41300 60937 487039 230490 35561 155101 48207 21562 934289 65186 115594 65228 1322242 792512 74654 125260
tv series 16645 8363 9925 47679 13854 6486 13571 13623 11738 4999 6605 10079 7265 5155 2563 3575 11586
universities 4628 4120 5469 21301 4939 3150 5614 2516 4013 1750 3022 2810 4261 1596 1059 2892 5510
video games 7973 4688 5818 29095 11049 3146 16951 12226 14784 5383 3909 6585 9112 4844 1815 3625 7767
websites 2738 2237 3472 9953 3349 2043 4030 2213 2698 1615 1872 2516 2938 1424 988 2263 2730

Share of Topics

The values are given in percentages and represent the share of articles on a specific topic within the entire language edition (i.e., the number of articles on a given topic divided by the total number of articles). The highest results for each topic are highlighted in green.

Shares: Wikidata property “instance of” (P31)

Expand table
topic grok ar de en es fa fr it ja nl pl pt ru sv vi uk zh
human 26.45 42.62 32.58 29.25 27.48 28.63 27.48 26.04 30.28 12.39 26.85 23.90 29.15 11.25 6.04 21.57 22.85
taxon 1.68 3.04 1.84 6.49 10.82 3.08 5.33 2.11 1.26 41.55 3.63 9.55 2.88 50.22 60.86 4.82 8.01
Wikimedia disambiguation page 1.26 2.61 11.09 4.76 3.00 2.31 5.76 6.78 5.61 4.33 5.60 2.69 9.20 3.01 0.94 5.75 3.92
film 4.40 1.26 1.41 2.21 1.79 3.52 2.75 3.06 1.71 0.95 1.17 2.39 1.69 0.63 0.30 1.82 1.04
commune of France 0.07 0.27 1.23 0.53 1.89 0.55 1.47 1.92 0.15 1.72 2.25 3.21 0.82 1.40 2.84 2.70 2.47
Wikimedia list article 3.31 0.71 3.26 1.89 0.07 0.56 1.32 0.86 0.92 1.51 0.50 1.29 0.93 0.25 0.38 0.86 1.23
human settlement 0.35 2.36 0.62 1.19 1.09 3.29 1.13 0.79 0.40 0.92 1.75 1.05 2.00 1.94 1.68 1.82 0.66
album 2.32 0.07 0.45 2.03 1.60 0.36 1.06 3.21 1.96 0.58 1.50 1.50 0.97 0.71 0.14 0.61 0.50
village 0.12 2.30 0.47 1.27 0.51 6.66 1.13 0.51 0.03 0.65 2.82 0.32 2.21 1.01 0.17 3.15 0.15
sports season 0.62 1.30 1.35 1.34 1.30 0.26 1.22 2.18 0.54 0.84 1.39 1.04 1.01 0.37 0.25 0.91 0.40
business 1.80 0.44 0.77 0.82 0.45 1.13 0.61 0.51 2.40 0.32 0.37 0.70 0.54 0.35 0.13 0.40 0.83
asteroid 0.01 2.03 0.25 0.04 0.65 1.54 1.64 1.32 0.23 0.01 0.95 0.90 0.15 0.62 1.39 1.09 0.84
village of Poland 0.00 0.01 0.30 0.73 0.22 0.85 1.56 0.01 0.00 0.24 3.34 0.01 0.08 0.01 0.28 3.09 0.00
literary work 1.05 0.77 0.48 0.88 0.69 0.49 0.83 0.91 0.58 0.22 0.45 0.58 0.50 0.22 0.09 0.55 0.40
single 1.19 0.07 0.13 0.68 0.66 0.30 0.39 1.54 2.02 0.47 0.55 0.83 0.38 0.16 0.18 0.19 0.38
hamlet 0.01 0.01 0.13 0.22 0.14 0.34 0.05 0.02 0.00 0.07 0.46 0.01 4.49 0.03 0.00 3.45 0.01
river 0.10 0.14 0.65 0.47 0.32 0.35 0.48 0.30 0.26 0.18 0.41 0.62 1.69 0.48 0.08 0.68 0.76
musical group 0.98 0.06 0.63 0.58 0.58 0.15 0.53 0.54 0.75 0.39 0.45 0.63 0.34 0.29 0.06 0.26 0.14
railway station 0.11 0.04 0.13 0.58 0.40 0.05 0.43 0.42 1.01 0.66 0.95 0.16 0.29 0.03 0.08 0.27 1.40
Wikimedia human name disambiguation page 0.07 0.05 0.71 0.87 0.20 0.06 0.55 0.34 0.38 0.21 0.30 0.11 0.64 0.29 0.06 0.11 0.13
television series 1.53 0.53 0.25 0.58 0.55 0.52 0.37 0.48 0.39 0.18 0.29 0.69 0.25 0.15 0.16 0.19 0.60
musical work/composition 0.89 0.07 0.31 0.57 0.68 0.24 0.55 0.51 0.54 0.47 0.22 0.50 0.32 0.25 0.14 0.18 0.21
church building 0.07 0.04 1.04 0.35 0.35 0.08 0.63 0.85 0.03 0.37 0.61 0.25 0.23 0.22 0.03 0.27 0.19
video game 0.81 0.34 0.17 0.39 0.51 0.27 0.59 0.60 0.92 0.22 0.21 0.52 0.40 0.17 0.13 0.23 0.48
city in the United States 0.45 0.74 0.16 0.14 0.48 0.91 0.35 0.50 0.11 0.43 0.58 0.82 0.18 0.24 0.40 0.69 0.58
municipality without town privileges in Germany 0.01 0.10 0.30 0.13 0.42 0.85 0.34 0.48 0.11 0.42 0.55 0.78 0.44 0.35 0.63 0.65 0.60
mountain 0.12 0.20 0.65 0.37 0.24 0.49 0.30 0.34 0.26 0.13 0.35 0.17 0.16 0.80 0.03 0.16 0.87
lake 0.05 0.06 0.24 0.18 0.11 0.09 0.16 0.08 0.04 0.06 0.23 0.07 0.37 2.76 0.02 0.11 0.46
commune of Italy 0.06 0.43 0.26 0.11 0.39 0.71 0.29 0.41 0.54 0.35 0.47 0.67 0.38 0.30 0.52 0.56 0.53
association football club 0.42 0.37 0.31 0.37 0.54 0.37 0.31 0.36 0.26 0.40 0.45 0.57 0.29 0.12 0.19 0.39 0.22
type of chemical entity 0.47 0.43 0.37 0.30 0.29 0.88 0.28 0.27 0.53 0.19 0.22 0.38 0.47 0.07 0.31 0.18 0.87
island 0.16 0.16 0.27 0.17 0.25 0.13 0.30 0.22 0.16 0.20 0.16 0.18 0.18 1.80 0.08 0.17 0.33
family name 0.08 0.01 0.25 0.99 0.03 0.03 0.17 0.15 0.05 0.03 0.07 0.02 0.41 0.08 0.02 0.28 0.08

Shares: Wikidata property “country” (P17)

Expand table
topic grok ar de en es fa fr it ja nl pl pt ru sv vi uk zh
United States 7.84 3.60 1.92 7.79 4.97 6.06 3.47 3.48 2.10 2.11 3.04 4.43 1.74 1.14 2.87 3.65 5.97
France 0.68 0.97 2.72 1.18 2.93 1.13 7.65 3.34 0.58 2.90 3.01 4.13 1.46 1.65 3.27 3.20 3.23
Germany 0.56 0.59 10.24 0.77 1.01 1.63 1.17 1.61 0.52 1.66 1.59 1.49 1.15 0.70 0.95 1.23 1.48
Russia 0.35 0.40 0.45 0.67 0.48 1.62 0.49 0.75 0.34 0.30 1.29 0.35 13.90 0.13 0.32 7.60 1.03
United Kingdom 2.43 0.90 1.07 2.65 0.97 1.43 1.35 1.28 0.53 1.14 1.80 0.85 0.61 1.17 0.29 0.57 0.87
Poland 0.15 0.10 0.83 0.96 0.37 1.25 1.85 0.32 0.08 0.68 10.62 0.42 0.53 0.07 0.61 3.77 0.22
Japan 0.52 0.35 0.33 0.60 0.40 0.79 0.62 0.64 17.04 0.22 0.35 0.44 0.40 0.14 0.31 0.43 2.23
Italy 0.51 0.76 0.98 0.59 1.02 1.12 1.20 6.88 0.86 0.88 1.01 1.35 0.80 0.50 0.69 0.90 1.00
Spain 0.37 0.77 0.67 0.54 5.38 0.62 0.97 1.06 0.27 0.67 0.86 1.36 0.71 0.68 0.63 0.81 0.80
People’s Republic of China 0.41 0.28 0.34 0.54 0.33 0.53 0.39 0.37 0.97 0.18 0.26 0.29 0.42 1.00 0.46 0.32 9.18
Ukraine 0.15 0.16 0.23 0.18 0.23 0.15 0.20 0.16 0.11 0.07 1.19 0.12 2.56 0.04 0.12 7.33 1.77
Iran 0.10 2.37 0.07 0.87 0.06 9.69 0.09 0.13 0.05 0.03 0.11 0.11 0.12 0.44 0.03 0.42 0.09
Sweden 0.15 0.14 0.27 0.24 0.15 0.21 0.25 0.26 0.09 0.46 0.33 0.27 0.15 5.62 0.06 0.25 0.11
India 1.96 0.25 0.22 1.30 0.43 0.53 0.23 0.42 0.16 0.28 0.19 0.53 0.20 0.24 1.95 0.17 0.53
Canada 0.79 0.29 0.39 1.11 0.41 0.67 1.30 0.33 0.22 0.21 0.32 0.46 0.29 0.64 0.06 0.39 0.34
Brazil 0.16 0.28 0.23 0.34 0.58 0.27 0.47 0.63 0.12 0.54 0.43 5.52 0.46 0.45 0.48 0.20 0.53
Netherlands 0.19 0.17 0.26 0.22 0.17 0.34 0.36 0.27 0.11 4.02 0.21 0.23 0.16 0.07 0.07 0.33 0.14
Soviet Union 0.22 0.26 0.24 0.21 0.29 0.64 0.28 0.48 0.20 0.18 0.55 0.24 2.09 0.10 0.28 1.31 0.66
Australia 0.61 0.20 0.33 0.98 0.21 0.42 0.29 0.31 0.16 0.21 0.31 0.23 0.16 0.42 0.10 0.15 0.23
Switzerland 0.16 0.21 0.93 0.23 0.31 0.23 0.52 0.64 0.11 0.30 0.31 0.42 0.22 0.27 0.10 0.33 0.40
Turkey 0.21 0.31 0.25 0.45 0.16 0.60 0.18 0.30 0.08 0.17 0.13 0.18 0.19 0.04 2.90 0.18 0.14
Indonesia 0.15 0.19 0.10 0.16 0.08 0.12 0.11 0.09 0.09 2.24 0.13 0.09 0.08 1.20 0.07 0.08 0.17
Belgium 0.13 0.16 0.21 0.16 0.20 0.15 0.95 0.30 0.09 1.83 0.31 0.20 0.13 0.09 0.08 0.11 0.14
Mexico 0.18 0.10 0.12 0.23 1.38 0.12 0.16 0.22 0.08 0.09 0.12 0.30 0.21 1.34 0.22 0.08 0.09
Austria 0.11 0.11 1.39 0.14 0.21 0.30 0.26 0.32 0.08 0.27 0.32 0.29 0.23 0.26 0.15 0.21 0.39
Czech Republic 0.07 0.07 0.45 0.17 0.38 0.59 0.32 0.43 0.06 0.39 0.79 0.60 0.14 0.28 0.53 0.12 0.11
Finland 0.08 0.10 0.13 0.12 0.09 0.15 0.29 0.13 0.06 0.09 0.13 0.08 0.14 2.27 0.04 0.10 0.10
Russian Empire 0.12 0.16 0.15 0.12 0.18 0.39 0.18 0.29 0.12 0.11 0.35 0.12 1.48 0.07 0.08 0.86 0.41
Romania 0.08 0.10 0.14 0.17 0.20 0.11 0.20 0.28 0.04 0.21 1.02 0.56 0.11 0.03 0.24 1.29 0.26
Portugal 0.11 0.10 0.29 0.13 0.49 0.08 0.21 0.17 0.05 0.25 0.15 2.24 0.30 0.03 0.05 0.23 0.16
Argentina 0.09 0.11 0.10 0.14 1.24 0.15 0.18 0.22 0.06 0.11 0.12 0.41 0.13 0.12 0.03 0.08 0.13
Norway 0.10 0.13 0.19 0.27 0.16 0.14 0.29 0.18 0.06 0.22 0.17 0.13 0.13 0.26 0.05 0.11 0.11
Greece 0.16 0.22 0.15 0.17 0.20 0.11 0.35 0.24 0.06 0.09 0.14 0.14 0.18 0.22 0.05 0.15 0.12

Shares: Wikidata property “occupation” (P106)

Expand table
topic grok ar de en es fa fr it ja nl pl pt ru sv vi uk zh
politician 2.80 5.21 4.33 4.16 3.02 2.38 3.94 2.52 2.57 1.68 3.00 3.26 3.05 1.38 0.92 2.28 5.40
association football player 1.93 8.29 2.51 3.06 3.38 7.53 2.20 4.94 2.00 1.64 3.20 2.33 3.01 0.79 1.76 3.06 1.25
actor 5.21 3.37 1.57 1.46 2.30 3.85 1.94 2.03 2.38 0.88 1.41 2.03 1.62 0.90 0.54 1.17 1.39
writer 2.10 3.17 2.50 1.68 2.40 1.78 2.23 1.77 1.07 0.93 1.51 2.09 2.11 1.05 0.40 1.59 0.98
university teacher 0.66 1.45 2.73 0.85 1.04 0.92 1.13 0.87 0.67 0.56 1.04 1.31 1.16 0.46 0.19 0.81 0.56
film actor 2.97 1.79 1.29 0.64 1.30 2.41 1.06 1.24 0.81 0.62 0.92 1.25 0.92 0.51 0.29 0.69 0.70
singer 2.14 1.39 0.77 0.71 1.12 1.23 0.84 0.92 0.96 0.60 0.64 1.08 0.67 0.44 0.31 0.53 0.66
television actor 2.92 1.43 0.62 0.56 0.94 1.77 0.70 0.89 0.62 0.49 0.63 1.01 0.62 0.36 0.24 0.43 0.58
journalist 0.97 1.39 0.95 0.79 1.01 0.63 0.91 0.69 0.43 0.33 0.71 0.85 0.80 0.40 0.13 0.64 0.34
painter 0.31 0.69 1.20 0.69 0.83 0.39 1.18 0.81 0.63 0.50 0.56 0.58 0.91 0.46 0.08 0.66 0.25
composer 0.96 0.90 1.02 0.60 0.82 0.68 0.80 0.74 0.83 0.60 0.60 0.72 0.72 0.35 0.13 0.44 0.28
screenwriter 1.37 1.09 0.72 0.50 0.71 1.33 0.89 0.81 0.60 0.30 0.51 0.74 0.61 0.31 0.14 0.47 0.38
film director 1.31 1.01 0.68 0.52 0.71 1.35 0.90 0.75 0.60 0.27 0.46 0.71 0.56 0.26 0.14 0.40 0.36
poet 0.45 1.11 0.51 0.53 0.78 0.66 0.72 0.59 0.41 0.27 0.62 0.62 0.88 0.30 0.17 0.67 0.41
military personnel 0.50 0.61 0.50 0.51 0.74 0.43 0.59 0.51 0.60 0.21 0.49 0.54 0.93 0.32 0.17 1.37 0.61
lawyer 0.59 1.34 0.71 0.71 0.70 0.41 0.51 0.34 0.31 0.22 0.41 0.49 0.32 0.23 0.10 0.24 0.25
stage actor 1.07 0.66 0.73 0.27 0.51 0.99 0.45 0.58 0.32 0.25 0.37 0.48 0.40 0.24 0.10 0.31 0.23
basketball player 0.56 0.84 0.24 0.39 0.68 0.49 0.46 1.29 0.32 0.11 0.44 0.35 0.27 0.08 0.01 0.13 0.41
association football coach 0.29 1.02 0.29 0.36 0.43 0.97 0.38 0.65 0.22 0.21 0.53 0.46 0.44 0.10 0.10 0.52 0.19
historian 0.22 0.60 0.62 0.38 0.44 0.30 0.55 0.36 0.36 0.15 0.49 0.38 0.54 0.18 0.05 0.38 0.25
Catholic priest 0.11 0.21 0.79 0.31 0.42 0.06 0.56 0.70 0.07 0.19 1.01 0.85 0.34 0.07 0.10 0.16 0.11
athletics competitor 0.10 0.50 0.61 0.37 0.41 0.35 0.45 0.40 0.22 0.23 0.74 0.22 0.35 0.27 0.04 0.19 0.22
businessperson 0.78 0.73 0.28 0.51 0.38 0.33 0.35 0.18 0.94 0.12 0.19 0.33 0.22 0.20 0.08 0.16 0.31
diplomat 0.30 0.53 0.48 0.34 0.42 0.31 0.38 0.29 0.30 0.16 0.45 0.34 0.51 0.18 0.10 0.42 0.38
musician 0.77 0.53 0.48 0.34 0.42 0.36 0.36 0.32 0.35 0.22 0.27 0.39 0.30 0.20 0.06 0.23 0.12
sport cyclist 0.05 0.43 0.49 0.25 0.43 0.62 0.63 0.36 0.12 0.45 0.30 0.68 0.15 0.08 0.00 0.08 0.09
film producer 0.81 0.55 0.36 0.24 0.33 0.69 0.37 0.36 0.32 0.17 0.26 0.42 0.27 0.16 0.10 0.22 0.20
novelist 0.44 0.82 0.25 0.28 0.32 0.32 0.38 0.27 0.53 0.12 0.20 0.32 0.22 0.14 0.06 0.20 0.20
military officer 0.32 0.46 0.33 0.24 0.21 0.26 0.36 0.23 0.18 0.12 0.48 0.27 0.59 0.11 0.09 0.38 0.18
physician 0.17 0.41 0.38 0.26 0.35 0.24 0.33 0.25 0.22 0.12 0.37 0.36 0.33 0.17 0.05 0.23 0.15
engineer 0.25 0.45 0.31 0.29 0.26 0.27 0.30 0.25 0.22 0.13 0.38 0.39 0.28 0.15 0.05 0.19 0.17
ice hockey player 0.26 0.44 0.45 0.31 0.05 0.15 0.40 0.17 0.03 0.02 0.22 0.03 0.48 0.31 0.00 0.43 0.13
songwriter 0.86 0.53 0.23 0.27 0.30 0.35 0.25 0.29 0.20 0.18 0.21 0.35 0.20 0.15 0.08 0.16 0.13

Shares: WikiRank classification

Expand table
topic grok ar de en es fa fr it ja nl pl pt ru sv vi uk zh
automobiles 0.46 0.10 0.26 0.10 0.14 0.31 0.19 0.27 0.21 0.11 0.23 0.21 0.21 0.08 0.01 0.24 0.07
books 1.39 0.97 0.60 1.14 0.88 0.81 1.15 1.17 0.72 0.42 0.55 0.78 0.66 0.30 0.12 0.67 0.52
buildings 1.85 1.30 3.89 3.15 2.68 2.45 3.49 3.15 4.11 2.58 3.49 2.05 1.85 0.92 0.65 1.91 3.91
cities 1.22 1.71 0.66 0.44 1.48 2.35 0.98 1.32 0.65 1.06 1.51 1.97 0.86 0.79 1.14 1.60 1.55
company 3.25 0.98 1.97 1.85 1.20 1.96 1.39 1.07 3.39 0.93 0.90 1.46 1.12 0.64 0.32 0.92 1.54
cryptocurrencies .004 .003 .001 .001 .002 .003 .002 .001 .003 .001 .001 .003 .002 .000 .001 .003 .002
events 2.99 2.88 3.24 4.57 3.01 1.23 3.25 7.91 2.05 2.44 3.13 3.19 2.68 0.89 0.98 2.62 1.85
films 4.76 1.37 1.80 2.46 1.99 3.86 3.26 4.29 1.90 1.04 1.35 2.77 1.98 0.72 0.36 2.05 1.14
people 26.45 42.62 32.58 29.25 27.48 28.63 27.48 26.04 30.28 12.39 26.85 23.90 29.15 11.25 6.04 21.57 22.85
paintings 0.13 0.06 0.06 0.14 0.25 0.09 0.36 0.40 0.24 0.10 0.18 0.15 0.19 0.05 0.02 0.12 0.07
programming languages 0.04 0.02 0.02 0.02 0.02 0.03 0.02 0.02 0.03 0.01 0.02 0.03 0.02 0.01 0.01 0.02 0.03
shops 0.29 0.04 0.11 0.18 0.08 0.10 0.10 0.05 0.17 0.10 0.05 0.09 0.06 0.05 0.02 0.05 0.10
software 0.19 0.08 0.09 0.10 0.11 0.09 0.09 0.08 0.16 0.04 0.08 0.13 0.12 0.03 0.04 0.10 0.14
taxons 1.89 3.22 1.99 6.88 11.51 3.38 5.71 2.50 1.48 42.46 3.93 9.98 3.18 50.48 61.30 5.39 8.49
tv series 1.89 0.65 0.32 0.67 0.69 0.62 0.50 0.71 0.81 0.23 0.40 0.87 0.35 0.20 0.20 0.26 0.79
universities 0.53 0.32 0.18 0.30 0.25 0.30 0.21 0.13 0.28 0.08 0.18 0.24 0.21 0.06 0.08 0.21 0.37
video games 0.91 0.37 0.19 0.41 0.55 0.30 0.62 0.63 1.02 0.24 0.24 0.57 0.44 0.18 0.14 0.26 0.53
websites 0.31 0.17 0.11 0.14 0.17 0.19 0.15 0.11 0.19 0.07 0.11 0.22 0.14 0.05 0.08 0.16 0.19

Normalized results (video)

The video below shows normalized values using dynamic charts. Enjoy! 🙂

More information can be found on the website: wikipedia.lewoniewski.info

See also the dataset on Hugging Face and Kaggle that shows mapping Grokipedia pages to corresponding Wikipedia article titles across 16 languages.

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