Which month does the world care most about Japan and the Japanese language, and does Japan's own outward curiosity run on the same clock? This repo answers that from Wikipedia pageviews - 19 pages, 10.6 years, 179M views - and ships the whole pipeline so the numbers can be re-derived from scratch.
| Source | Wikimedia Pageviews REST API (all-access, agent=user) |
| Coverage | 2016-01 to 2026-07, 2,420 page-months (a truncated 2026-08 bucket sits in the raw file, unused) |
| Pages | 19 across en.wikipedia and ja.wikipedia |
| Total views | 179,194,249 |
| Excluded | 2020, 2021 (COVID-distorted) |
| Generated | scripts/make_readme.py on 2026-08-10 |
Interest is bimodal, and the two peaks are different behaviours about two months apart.
1. Learning and curiosity peak in January-February. Every one of the five language/script pages peaks in Jan or Feb and bottoms out in December. Nothing happens in Japan in January to explain this - it is the New Year resolution effect plus the northern-hemisphere term start, i.e. a property of the audience, not of the subject. The effect is modest but extremely consistent: about +/-10%, 17-21 index points peak-to-trough on all five pages independently.
2. Travel and experience peak in March-April, driven almost entirely by
sakura. Cherry_blossom is the strongest genuine seasonal signal in the whole
dataset. There is a real secondary autumn bump in October-November - note that
Tourism_in_Japan actually peaks in November, not in spring.
3. The in/out asymmetry is the clearest result. Inbound and outbound both
peak in winter, but the outbound (ja.wikipedia) composite is far spikier at the
top and collapses much harder in December: Japanese users research going abroad
in the New Year planning window, then stop dead over the new-year holidays.
Meanwhile Golden Week - the largest single spike in the entire dataset for the
domestic audience - is nearly invisible to the outside world: the en.wikipedia
Golden_Week article averages a couple of hundred views a month, statistical
noise. Japan's own calendar drives Japanese behaviour; the outside world's
calendar drives interest in Japan. The two never synchronise.
If you need one month: January. It is the top month for all three composites. But it is the top month for reading about Japan - April is when people actually go.
100 = the group's own average month. Median across group members.
| Group | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Peak | Trough | Amp |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A. Japanese language / script | 108.6 | 108.2 | 104.6 | 104.3 | 100.6 | 94.7 | 95.5 | 95.9 | 97.9 | 101.1 | 98.3 | 89.9 | Jan | Dec | 18.7 |
| B. Japan as a destination | 107.2 | 101.2 | 105.2 | 103.4 | 99.2 | 94.5 | 95.0 | 98.3 | 97.2 | 100.9 | 99.8 | 94.5 | Jan | Dec | 12.7 |
| C. Japan looking out | 115.1 | 107.2 | 96.8 | 100.5 | 102.5 | 100.1 | 102.9 | 97.1 | 96.6 | 99.6 | 94.5 | 86.3 | Jan | Dec | 28.8 |
- A ranked high to low: Jan Feb Mar Apr Oct May Nov Sep Aug Jul Jun Dec
- B ranked high to low: Jan Mar Apr Feb Oct Nov May Aug Sep Jul Jun Dec
- C ranked high to low: Jan Feb Jul May Apr Jun Oct Aug Mar Sep Nov Dec
Pages are grouped by what they actually proxy, decided before looking at the seasonality. Group D is deliberately quarantined: those four pages track calendar events and exam cycles, so folding them into an average would manufacture seasonality rather than measure it.
generic learner interest - median of 5 pages.
| Page | Views | Yrs | Peak | Trough | Amp |
|---|---|---|---|---|---|
Japanese_language |
18,046,370 | 8 | Feb 110.1 | Jul 91.5 | 18.6 |
Hiragana |
10,468,058 | 8 | Jan 108.9 | Dec 87.6 | 21.3 |
Katakana |
8,468,780 | 8 | Feb 108.8 | Dec 89.4 | 19.4 |
Kanji |
7,000,044 | 8 | Jan 109.7 | Dec 93.1 | 16.6 |
Japanese_writing_system |
4,205,058 | 8 | Jan 108.2 | Dec 89.9 | 18.3 |
Jan 108.6 ##################### pages 105.7-109.7
Feb 108.2 ##################### pages 105.8-110.1
Mar 104.6 ################## pages 103.9-108.8
Apr 104.3 ################## pages 101.1-106.6
May 100.6 ################ pages 99.3-103.4
Jun 94.7 ############ pages 94.2- 95.9
Jul 95.5 ############# pages 91.5- 99.4
Aug 95.9 ############# pages 93.5- 98.1
Sep 97.9 ############## pages 95.2-101.3
Oct 101.1 ################ pages 97.6-101.9
Nov 98.3 ############## pages 95.2-100.8
Dec 89.9 ######### pages 87.6- 93.1
inbound interest / travel intent - median of 6 pages.
| Page | Views | Yrs | Peak | Trough | Amp |
|---|---|---|---|---|---|
Japan |
63,886,811 | 8 | Jan 108.4 | Dec 91.5 | 16.9 |
Tokyo |
23,518,742 | 8 | Mar 109.0 | Dec 92.7 | 16.4 |
Tourism_in_Japan |
767,361 | 8 | Nov 109.7 | Jul 91.8 | 17.9 |
Visa_policy_of_Japan |
940,655 | 8 | Oct 110.5 | Feb 91.6 | 18.8 |
Narita_International_Airport |
3,953,561 | 8 | Jan 111.7 | Jun 94.2 | 17.5 |
Anime |
20,389,994 | 7 | Jan 112.2 | Dec 92.3 | 19.9 |
Jan 107.2 #################### pages 96.2-112.2
Feb 101.2 ################ pages 91.6-110.1
Mar 105.2 ################### pages 91.8-109.1
Apr 103.4 ################## pages 94.1-110.4
May 99.2 ############### pages 96.1-105.3
Jun 94.5 ############ pages 92.4- 99.8
Jul 95.0 ############ pages 91.8-101.8
Aug 98.3 ############## pages 92.3-106.4
Sep 97.2 ############## pages 93.4-109.8
Oct 100.9 ################ pages 95.5-110.5
Nov 99.8 ############### pages 96.9-109.7
Dec 94.5 ############ pages 91.5- 99.2
outbound interest, ja.wikipedia audience - median of 4 pages.
| Page | Views | Yrs | Peak | Trough | Amp |
|---|---|---|---|---|---|
英語 |
6,205,112 | 8 | Nov 105.8 | Mar 93.5 | 12.3 |
TOEIC |
96,394 | 8 | Jan 111.8 | Dec 87.8 | 24.0 |
留学 |
239,455 | 8 | Jan 118.4 | Dec 84.5 | 33.9 |
海外旅行 |
169,112 | 8 | Jan 118.6 | Dec 84.9 | 33.7 |
Jan 115.1 ######################### pages 101.3-118.6
Feb 107.2 #################### pages 100.1-110.5
Mar 96.8 ############# pages 93.5-102.3
Apr 100.5 ################ pages 94.9-107.7
May 102.5 ################# pages 102.5-103.9
Jun 100.1 ################ pages 93.7-105.4
Jul 102.9 ################# pages 96.2-105.4
Aug 97.1 ############## pages 93.8-100.9
Sep 96.6 ############# pages 95.4- 98.6
Oct 99.6 ############### pages 99.2-102.0
Nov 94.5 ############ pages 85.4-105.8
Dec 86.3 ####### pages 84.5- 99.7
Reported separately. Never folded into a composite.
Cherry_blossom - sakura season (7,847,227 views, 8 yrs, amplitude 166.9)
Jan 78.2 #######
Feb 100.3 #########
Mar 203.2 ######################
Apr 227.3 #########################
May 114.2 ###########
Jun 71.0 ######
Jul 64.5 #####
Aug 65.2 #####
Sep 72.7 ######
Oct 70.5 ######
Nov 72.5 ######
Dec 60.5 ####
ゴールデンウィーク - Golden Week, domestic audience (1,605,555 views, 8 yrs, amplitude 462.9)
Jan 42.1 ##
Feb 48.2 ###
Mar 77.2 ######
Apr 490.7 ##################################
May 333.5 ##################################
Jun 30.0 #
Jul 30.6 #
Aug 28.5
Sep 31.0 #
Oct 27.8
Nov 28.4
Dec 32.0 #
Golden_Week - Golden Week, en.wikipedia audience (39,944 views, 8 yrs, amplitude 200.6)
Jan 67.2 #####
Feb 60.5 ####
Mar 64.5 #####
Apr 240.4 ###########################
May 246.2 ###########################
Jun 47.5 ###
Jul 46.6 ###
Aug 57.2 ####
Sep 130.8 #############
Oct 145.8 ###############
Nov 47.7 ###
Dec 45.6 ###
Japanese-Language_Proficiency_Test - JLPT exam cycle (1,346,016 views, 8 yrs, amplitude 36.1)
Jan 120.0 ############
Feb 103.1 ##########
Mar 98.0 #########
Apr 88.3 ########
May 83.9 #######
Jun 94.0 #########
Jul 100.8 #########
Aug 111.0 ###########
Sep 99.8 #########
Oct 89.0 ########
Nov 109.2 ##########
Dec 102.8 ##########
Seasonal index per page. Bold = peak, italic = trough.
| Grp | Page | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A | Japanese_language |
108.6 | 110.1 | 103.9 | 101.1 | 103.4 | 94.2 | 91.5 | 94.3 | 97.9 | 101.7 | 100.8 | 92.5 |
| A | Hiragana |
108.9 | 107.5 | 106.1 | 103.9 | 99.3 | 95.9 | 95.5 | 97.7 | 101.3 | 101.1 | 95.2 | 87.6 |
| A | Katakana |
105.7 | 108.8 | 108.8 | 104.3 | 100.2 | 94.6 | 95.0 | 95.9 | 99.3 | 101.9 | 96.1 | 89.4 |
| A | Kanji |
109.7 | 105.8 | 104.6 | 104.5 | 100.6 | 95.4 | 97.1 | 98.1 | 95.2 | 97.6 | 98.3 | 93.1 |
| A | Japanese_writing_system |
108.2 | 108.2 | 103.9 | 106.6 | 101.6 | 94.7 | 99.4 | 93.5 | 96.3 | 99.5 | 98.3 | 89.9 |
| B | Japan |
108.4 | 106.0 | 106.1 | 104.5 | 101.4 | 94.7 | 95.5 | 96.0 | 97.1 | 100.8 | 98.0 | 91.5 |
| B | Tokyo |
105.1 | 100.9 | 109.0 | 102.3 | 99.7 | 95.3 | 93.5 | 100.7 | 99.5 | 99.9 | 101.3 | 92.7 |
| B | Tourism_in_Japan |
106.0 | 96.7 | 103.9 | 104.6 | 105.3 | 94.3 | 91.8 | 92.3 | 95.8 | 103.7 | 109.7 | 96.2 |
| B | Visa_policy_of_Japan |
96.2 | 91.6 | 91.8 | 94.1 | 96.9 | 99.8 | 101.8 | 106.4 | 109.8 | 110.5 | 101.9 | 99.2 |
| B | Narita_International_Airport |
111.7 | 101.5 | 104.4 | 100.8 | 96.1 | 94.2 | 95.8 | 101.8 | 97.2 | 101.0 | 98.3 | 97.3 |
| B | Anime |
112.2 | 110.1 | 109.1 | 110.4 | 98.7 | 92.4 | 94.6 | 94.3 | 93.4 | 95.5 | 96.9 | 92.3 |
| C | 英語 |
101.3 | 104.5 | 93.5 | 94.9 | 102.5 | 101.0 | 102.3 | 99.9 | 95.4 | 99.3 | 105.8 | 99.7 |
| C | TOEIC |
111.8 | 109.9 | 98.8 | 107.7 | 102.5 | 93.7 | 103.6 | 93.8 | 97.0 | 99.9 | 93.4 | 87.8 |
| C | 留学 |
118.4 | 110.5 | 102.3 | 98.2 | 102.6 | 99.2 | 96.2 | 94.3 | 96.2 | 102.0 | 95.6 | 84.5 |
| C | 海外旅行 |
118.6 | 100.1 | 94.8 | 102.8 | 103.9 | 105.4 | 105.4 | 100.9 | 98.6 | 99.2 | 85.4 | 84.9 |
| D | Cherry_blossom |
78.2 | 100.3 | 203.2 | 227.3 | 114.2 | 71.0 | 64.5 | 65.2 | 72.7 | 70.5 | 72.5 | 60.5 |
| D | ゴールデンウィーク |
42.1 | 48.2 | 77.2 | 490.7 | 333.5 | 30.0 | 30.6 | 28.5 | 31.0 | 27.8 | 28.4 | 32.0 |
| D | Golden_Week |
67.2 | 60.5 | 64.5 | 240.4 | 246.2 | 47.5 | 46.6 | 57.2 | 130.8 | 145.8 | 47.7 | 45.6 |
| D | Japanese-Language_Proficiency_Test |
120.0 | 103.1 | 98.0 | 88.3 | 83.9 | 94.0 | 100.8 | 111.0 | 99.8 | 89.0 | 109.2 | 102.8 |
Each page's own seasonal index, with the spread across the individual years behind each month.
Japanese_language (en.wikipedia, 18,046,370 views, 8 complete years)
Jan 108.6 ######## years 89.8-139.3
Feb 110.1 ######## years 93.8-127.6
Mar 103.9 ####### years 90.6-122.8
Apr 101.1 ####### years 87.1-127.4
May 103.4 ####### years 92.6-121.7
Jun 94.2 ####### years 83.4-114.2
Jul 91.5 ###### years 80.7- 97.5
Aug 94.3 ####### years 83.7-106.3
Sep 97.9 ####### years 81.0-113.2
Oct 101.7 ####### years 84.7-123.1
Nov 100.8 ####### years 86.4-123.9
Dec 92.5 ###### years 81.2-101.0
peak Feb 110.1 / trough Jul 91.5 / amplitude 18.6
Hiragana (en.wikipedia, 10,468,058 views, 8 complete years)
Jan 108.9 ######## years 95.9-124.1
Feb 107.5 ######## years 96.5-128.0
Mar 106.1 ######## years 93.6-130.2
Apr 103.9 ####### years 93.9-125.2
May 99.3 ####### years 94.0-105.2
Jun 95.9 ####### years 86.8-109.0
Jul 95.5 ####### years 78.6-104.2
Aug 97.7 ####### years 82.0-106.5
Sep 101.3 ####### years 85.9-111.4
Oct 101.1 ####### years 87.8-109.3
Nov 95.2 ####### years 85.4-109.5
Dec 87.6 ###### years 76.3-102.9
peak Jan 108.9 / trough Dec 87.6 / amplitude 21.3
Katakana (en.wikipedia, 8,468,780 views, 8 complete years)
Jan 105.7 ######## years 92.7-119.7
Feb 108.8 ######## years 96.4-135.2
Mar 108.8 ######## years 98.8-143.3
Apr 104.3 ####### years 94.2-115.8
May 100.2 ####### years 89.4-111.0
Jun 94.6 ####### years 84.8-104.7
Jul 95.0 ####### years 79.7-104.0
Aug 95.9 ####### years 81.1-107.3
Sep 99.3 ####### years 81.7-108.7
Oct 101.9 ####### years 84.4-114.1
Nov 96.1 ####### years 83.4-105.4
Dec 89.4 ###### years 79.6- 98.1
peak Feb 108.8 / trough Dec 89.4 / amplitude 19.4
Kanji (en.wikipedia, 7,000,044 views, 8 complete years)
Jan 109.7 ######## years 98.3-120.4
Feb 105.8 ######## years 95.8-109.8
Mar 104.6 ######## years 100.0-110.9
Apr 104.5 ######## years 99.1-113.2
May 100.6 ####### years 94.4-108.6
Jun 95.4 ####### years 87.8- 99.2
Jul 97.1 ####### years 89.2-104.1
Aug 98.1 ####### years 91.4-102.7
Sep 95.2 ####### years 90.2-100.4
Oct 97.6 ####### years 89.7-104.2
Nov 98.3 ####### years 89.0-105.9
Dec 93.1 ###### years 82.9-102.9
peak Jan 109.7 / trough Dec 93.1 / amplitude 16.6
Japanese_writing_system (en.wikipedia, 4,205,058 views, 8 complete years)
Jan 108.2 ######## years 95.1-121.4
Feb 108.2 ######## years 95.3-128.7
Mar 103.9 ####### years 96.2-108.4
Apr 106.6 ######## years 97.3-113.7
May 101.6 ####### years 95.4-109.3
Jun 94.7 ####### years 88.3-103.8
Jul 99.4 ####### years 87.7-128.9
Aug 93.5 ###### years 87.2- 99.7
Sep 96.3 ####### years 88.4-102.3
Oct 99.5 ####### years 94.5-104.5
Nov 98.3 ####### years 86.4-109.1
Dec 89.9 ###### years 77.0-101.5
peak Jan 108.2 / trough Dec 89.9 / amplitude 18.3
Japan (en.wikipedia, 63,886,811 views, 8 complete years)
Jan 108.4 ######## years 93.3-142.3
Feb 106.0 ######## years 99.2-114.2
Mar 106.1 ######## years 96.5-116.3
Apr 104.5 ######## years 93.2-117.2
May 101.4 ####### years 94.7-112.0
Jun 94.7 ####### years 84.4-106.0
Jul 95.5 ####### years 82.4-109.0
Aug 96.0 ####### years 89.2-101.1
Sep 97.1 ####### years 87.0-104.4
Oct 100.8 ####### years 84.4-115.5
Nov 98.0 ####### years 86.1-110.7
Dec 91.5 ###### years 82.5- 99.0
peak Jan 108.4 / trough Dec 91.5 / amplitude 16.9
Tokyo (en.wikipedia, 23,518,742 views, 8 complete years)
Jan 105.1 ######## years 96.4-126.8
Feb 100.9 ####### years 93.9-105.8
Mar 109.0 ######## years 93.8-160.8
Apr 102.3 ####### years 94.4-113.3
May 99.7 ####### years 94.0-104.5
Jun 95.3 ####### years 84.5-115.1
Jul 93.5 ###### years 86.7-102.2
Aug 100.7 ####### years 87.7-124.5
Sep 99.5 ####### years 88.4-114.9
Oct 99.9 ####### years 91.6-109.1
Nov 101.3 ####### years 91.3-116.8
Dec 92.7 ###### years 80.9-105.0
peak Mar 109.0 / trough Dec 92.7 / amplitude 16.4
Tourism_in_Japan (en.wikipedia, 767,361 views, 8 complete years)
Jan 106.0 ######## years 84.5-132.7
Feb 96.7 ####### years 81.6-110.3
Mar 103.9 ####### years 99.0-113.7
Apr 104.6 ######## years 93.4-111.7
May 105.3 ######## years 93.8-113.1
Jun 94.3 ####### years 82.9-101.8
Jul 91.8 ###### years 83.7-101.3
Aug 92.3 ###### years 86.8-107.1
Sep 95.8 ####### years 91.3-104.5
Oct 103.7 ####### years 94.5-110.6
Nov 109.7 ######## years 96.4-120.9
Dec 96.2 ####### years 81.9-110.4
peak Nov 109.7 / trough Jul 91.8 / amplitude 17.9
Visa_policy_of_Japan (en.wikipedia, 940,655 views, 8 complete years)
Jan 96.2 ####### years 72.5-120.1
Feb 91.6 ###### years 65.2-104.9
Mar 91.8 ###### years 67.2-107.1
Apr 94.1 ####### years 79.4-106.1
May 96.9 ####### years 81.5-106.7
Jun 99.8 ####### years 95.6-106.2
Jul 101.8 ####### years 94.8-107.2
Aug 106.4 ######## years 96.1-122.3
Sep 109.8 ######## years 96.3-150.5
Oct 110.5 ######## years 92.1-144.3
Nov 101.9 ####### years 94.3-109.2
Dec 99.2 ####### years 85.8-116.0
peak Oct 110.5 / trough Feb 91.6 / amplitude 18.8
Narita_International_Airport (en.wikipedia, 3,953,561 views, 8 complete years)
Jan 111.7 ######## years 79.0-171.9
Feb 101.5 ####### years 83.2-124.8
Mar 104.4 ######## years 84.6-122.7
Apr 100.8 ####### years 88.7-107.6
May 96.1 ####### years 87.1-105.6
Jun 94.2 ####### years 82.8-102.5
Jul 95.8 ####### years 84.6-104.0
Aug 101.8 ####### years 83.0-124.4
Sep 97.2 ####### years 82.0-109.9
Oct 101.0 ####### years 90.0-122.3
Nov 98.3 ####### years 87.3-126.1
Dec 97.3 ####### years 82.3-120.7
peak Jan 111.7 / trough Jun 94.2 / amplitude 17.5
Anime (en.wikipedia, 20,389,994 views, 7 complete years)
Jan 112.2 ######## years 92.8-129.6
Feb 110.1 ######## years 97.7-126.6
Mar 109.1 ######## years 98.9-129.5
Apr 110.4 ######## years 97.9-129.8
May 98.7 ####### years 93.7-107.4
Jun 92.4 ###### years 84.0-104.8
Jul 94.6 ####### years 82.7-108.8
Aug 94.3 ####### years 82.0-109.2
Sep 93.4 ###### years 79.3-102.0
Oct 95.5 ####### years 87.1-105.1
Nov 96.9 ####### years 86.0-109.6
Dec 92.3 ###### years 80.3-108.9
peak Jan 112.2 / trough Dec 92.3 / amplitude 19.9
英語 (ja.wikipedia, 6,205,112 views, 8 complete years)
Jan 101.3 ####### years 90.3-109.0
Feb 104.5 ######## years 91.9-110.6
Mar 93.5 ###### years 85.4- 98.2
Apr 94.9 ####### years 86.4- 99.6
May 102.5 ####### years 91.9-111.6
Jun 101.0 ####### years 94.2-106.2
Jul 102.3 ####### years 98.6-108.0
Aug 99.9 ####### years 94.5-107.7
Sep 95.4 ####### years 80.7-105.7
Oct 99.3 ####### years 93.4-105.4
Nov 105.8 ######## years 92.6-147.8
Dec 99.7 ####### years 87.7-129.7
peak Nov 105.8 / trough Mar 93.5 / amplitude 12.3
TOEIC (ja.wikipedia, 96,394 views, 8 complete years)
Jan 111.8 ######## years 88.6-152.2
Feb 109.9 ######## years 101.1-130.0
Mar 98.8 ####### years 89.4-110.1
Apr 107.7 ######## years 87.1-132.3
May 102.5 ####### years 84.6-136.1
Jun 93.7 ###### years 81.5-108.8
Jul 103.6 ####### years 82.3-118.5
Aug 93.8 ####### years 78.3-121.9
Sep 97.0 ####### years 76.6-126.8
Oct 99.9 ####### years 81.6-116.1
Nov 93.4 ###### years 78.5-113.8
Dec 87.8 ###### years 77.4-102.6
peak Jan 111.8 / trough Dec 87.8 / amplitude 24.0
留学 (ja.wikipedia, 239,455 views, 8 complete years)
Jan 118.4 ######### years 99.7-178.5
Feb 110.5 ######## years 88.7-123.1
Mar 102.3 ####### years 89.8-116.9
Apr 98.2 ####### years 91.3-117.2
May 102.6 ####### years 90.4-127.3
Jun 99.2 ####### years 87.8-105.0
Jul 96.2 ####### years 84.3-113.2
Aug 94.3 ####### years 83.0-105.8
Sep 96.2 ####### years 89.2-109.9
Oct 102.0 ####### years 90.7-134.2
Nov 95.6 ####### years 77.2-110.9
Dec 84.5 ###### years 70.0-110.5
peak Jan 118.4 / trough Dec 84.5 / amplitude 33.9
海外旅行 (ja.wikipedia, 169,112 views, 8 complete years)
Jan 118.6 ######### years 90.8-147.1
Feb 100.1 ####### years 90.1-106.2
Mar 94.8 ####### years 81.3-121.2
Apr 102.8 ####### years 71.5-140.7
May 103.9 ####### years 91.3-131.6
Jun 105.4 ######## years 88.8-124.5
Jul 105.4 ######## years 86.3-120.3
Aug 100.9 ####### years 89.9-120.2
Sep 98.6 ####### years 86.8-117.8
Oct 99.2 ####### years 89.0-110.0
Nov 85.4 ###### years 74.8- 95.4
Dec 84.9 ###### years 75.5-103.8
peak Jan 118.6 / trough Dec 84.9 / amplitude 33.7
Cherry_blossom (en.wikipedia, 7,847,227 views, 8 complete years)
Jan 78.2 ##### years 63.3- 96.5
Feb 100.3 ####### years 87.4-120.1
Mar 203.2 ################# years 161.2-334.5
Apr 227.3 ################### years 192.0-270.9
May 114.2 ######## years 96.9-135.6
Jun 71.0 #### years 56.1- 80.1
Jul 64.5 #### years 51.0- 75.9
Aug 65.2 #### years 50.8- 78.9
Sep 72.7 ##### years 55.0- 86.1
Oct 70.5 #### years 52.4- 83.0
Nov 72.5 #### years 58.3- 93.2
Dec 60.5 ### years 45.5- 78.8
peak Apr 227.3 / trough Dec 60.5 / amplitude 166.9
ゴールデンウィーク (ja.wikipedia, 1,605,555 views, 8 complete years)
Jan 42.1 ## years 34.7- 58.1
Feb 48.2 ## years 40.8- 67.9
Mar 77.2 ##### years 57.8-100.3
Apr 490.7 ########################## years 394.2-558.5
May 333.5 ########################## years 249.9-457.5
Jun 30.0 years 24.9- 35.2
Jul 30.6 # years 24.3- 34.6
Aug 28.5 years 25.2- 33.7
Sep 31.0 # years 23.6- 39.0
Oct 27.8 years 19.7- 33.3
Nov 28.4 years 21.6- 35.3
Dec 32.0 # years 23.7- 41.2
peak Apr 490.7 / trough Oct 27.8 / amplitude 462.9
Golden_Week (en.wikipedia, 39,944 views, 8 complete years)
Jan 67.2 #### years 46.6- 88.2
Feb 60.5 ### years 35.3- 86.6
Mar 64.5 #### years 49.9- 75.9
Apr 240.4 #################### years 190.1-322.1
May 246.2 ##################### years 174.2-330.8
Jun 47.5 ## years 33.2-100.6
Jul 46.6 ## years 32.3- 59.8
Aug 57.2 ### years 42.4- 72.5
Sep 130.8 ########## years 94.3-153.2
Oct 145.8 ########### years 102.8-193.8
Nov 47.7 ## years 30.0- 67.2
Dec 45.6 ## years 33.4- 57.0
peak May 246.2 / trough Dec 45.6 / amplitude 200.6
Japanese-Language_Proficiency_Test (en.wikipedia, 1,346,016 views, 8 complete years)
Jan 120.0 ######### years 93.9-143.2
Feb 103.1 ####### years 85.4-128.6
Mar 98.0 ####### years 86.4-116.6
Apr 88.3 ###### years 82.5- 96.4
May 83.9 ###### years 72.2- 90.7
Jun 94.0 ####### years 86.2-103.7
Jul 100.8 ####### years 93.6-114.0
Aug 111.0 ######## years 103.2-122.3
Sep 99.8 ####### years 86.3-108.4
Oct 89.0 ###### years 78.4- 97.8
Nov 109.2 ######## years 82.0-125.7
Dec 102.8 ####### years 86.2-134.6
peak Jan 120.0 / trough May 83.9 / amplitude 36.1
The individual years each index above averages over. This is the raw evidence for whether a peak is a stable annual pattern or one loud year. Excluded years are absent by construction.
| Page | Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Japanese_language |
2016 | 90 | 94 | 93 | 96 | 97 | 95 | 96 | 94 | 107 | 123 | 115 | 98 |
| 2017 | 105 | 110 | 105 | 101 | 122 | 100 | 92 | 92 | 86 | 100 | 100 | 87 | |
| 2018 | 116 | 120 | 102 | 98 | 96 | 91 | 90 | 106 | 101 | 96 | 90 | 93 | |
| 2019 | 103 | 115 | 105 | 101 | 93 | 94 | 98 | 93 | 98 | 100 | 103 | 98 | |
| 2022 | 101 | 95 | 91 | 94 | 94 | 83 | 91 | 101 | 113 | 113 | 124 | 101 | |
| 2023 | 94 | 108 | 104 | 87 | 116 | 114 | 97 | 92 | 101 | 96 | 96 | 95 | |
| 2024 | 139 | 128 | 123 | 127 | 102 | 84 | 81 | 84 | 81 | 85 | 86 | 81 | |
| 2025 | 121 | 111 | 109 | 105 | 108 | 91 | 88 | 92 | 96 | 100 | 91 | 86 | |
Hiragana |
2016 | 97 | 100 | 99 | 99 | 97 | 94 | 92 | 97 | 109 | 102 | 110 | 103 |
| 2017 | 103 | 100 | 94 | 94 | 95 | 109 | 104 | 96 | 97 | 107 | 103 | 98 | |
| 2018 | 110 | 106 | 106 | 102 | 102 | 93 | 99 | 102 | 101 | 98 | 92 | 88 | |
| 2019 | 111 | 106 | 102 | 104 | 96 | 94 | 100 | 100 | 108 | 99 | 92 | 87 | |
| 2022 | 111 | 108 | 108 | 104 | 94 | 91 | 93 | 101 | 103 | 102 | 100 | 84 | |
| 2023 | 96 | 96 | 102 | 95 | 102 | 106 | 102 | 106 | 111 | 109 | 92 | 83 | |
| 2024 | 124 | 128 | 130 | 125 | 105 | 87 | 79 | 82 | 86 | 88 | 85 | 81 | |
| 2025 | 119 | 115 | 109 | 108 | 103 | 93 | 94 | 97 | 95 | 103 | 87 | 76 | |
Katakana |
2016 | 100 | 103 | 99 | 101 | 99 | 96 | 94 | 97 | 108 | 103 | 103 | 97 |
| 2017 | 102 | 104 | 102 | 102 | 99 | 101 | 100 | 95 | 94 | 101 | 102 | 98 | |
| 2018 | 100 | 99 | 100 | 100 | 103 | 99 | 102 | 101 | 101 | 104 | 98 | 92 | |
| 2019 | 109 | 106 | 104 | 107 | 100 | 97 | 99 | 98 | 104 | 102 | 92 | 84 | |
| 2022 | 106 | 111 | 112 | 109 | 89 | 86 | 89 | 92 | 102 | 106 | 105 | 93 | |
| 2023 | 93 | 96 | 99 | 94 | 101 | 105 | 104 | 107 | 109 | 114 | 96 | 82 | |
| 2024 | 120 | 135 | 143 | 116 | 100 | 85 | 80 | 81 | 82 | 84 | 83 | 91 | |
| 2025 | 115 | 116 | 111 | 106 | 111 | 90 | 92 | 96 | 96 | 100 | 87 | 80 | |
Kanji |
2016 | 107 | 104 | 105 | 103 | 99 | 95 | 92 | 96 | 100 | 96 | 102 | 103 |
| 2017 | 105 | 105 | 101 | 103 | 98 | 99 | 99 | 99 | 95 | 100 | 98 | 98 | |
| 2018 | 115 | 110 | 106 | 108 | 105 | 99 | 102 | 100 | 90 | 90 | 89 | 86 | |
| 2019 | 111 | 108 | 106 | 108 | 102 | 94 | 97 | 96 | 95 | 97 | 96 | 90 | |
| 2022 | 107 | 107 | 100 | 100 | 94 | 94 | 97 | 101 | 96 | 100 | 106 | 98 | |
| 2023 | 98 | 96 | 104 | 99 | 99 | 99 | 104 | 103 | 99 | 97 | 100 | 101 | |
| 2024 | 115 | 109 | 111 | 113 | 109 | 95 | 96 | 91 | 92 | 97 | 89 | 83 | |
| 2025 | 120 | 108 | 104 | 102 | 98 | 88 | 89 | 98 | 95 | 104 | 106 | 86 | |
Japanese_writing_system |
2016 | 99 | 97 | 96 | 97 | 97 | 98 | 112 | 100 | 100 | 104 | 103 | 96 |
| 2017 | 108 | 106 | 108 | 103 | 99 | 104 | 92 | 87 | 92 | 95 | 109 | 97 | |
| 2018 | 101 | 107 | 102 | 114 | 109 | 99 | 96 | 98 | 99 | 94 | 92 | 89 | |
| 2019 | 112 | 107 | 104 | 108 | 105 | 92 | 96 | 94 | 98 | 102 | 97 | 85 | |
| 2022 | 117 | 115 | 102 | 106 | 95 | 89 | 90 | 95 | 97 | 98 | 102 | 94 | |
| 2023 | 95 | 95 | 105 | 111 | 99 | 95 | 92 | 93 | 102 | 104 | 106 | 102 | |
| 2024 | 112 | 108 | 106 | 113 | 103 | 92 | 129 | 88 | 88 | 95 | 86 | 77 | |
| 2025 | 121 | 129 | 106 | 101 | 105 | 88 | 88 | 93 | 94 | 103 | 92 | 80 | |
Japan |
2016 | 101 | 101 | 100 | 109 | 104 | 94 | 94 | 101 | 95 | 98 | 105 | 97 |
| 2017 | 107 | 114 | 109 | 104 | 102 | 94 | 92 | 94 | 102 | 102 | 98 | 82 | |
| 2018 | 93 | 99 | 99 | 96 | 95 | 105 | 106 | 99 | 104 | 104 | 103 | 97 | |
| 2019 | 111 | 103 | 100 | 106 | 102 | 94 | 90 | 89 | 99 | 114 | 96 | 94 | |
| 2022 | 101 | 106 | 96 | 93 | 95 | 89 | 109 | 101 | 102 | 98 | 111 | 99 | |
| 2023 | 103 | 109 | 116 | 109 | 112 | 106 | 103 | 97 | 89 | 84 | 86 | 84 | |
| 2024 | 142 | 108 | 114 | 117 | 100 | 84 | 82 | 95 | 87 | 90 | 90 | 88 | |
| 2025 | 108 | 106 | 113 | 102 | 101 | 92 | 88 | 91 | 98 | 116 | 95 | 89 | |
Tokyo |
2016 | 101 | 102 | 100 | 105 | 102 | 90 | 88 | 124 | 98 | 95 | 102 | 94 |
| 2017 | 102 | 106 | 108 | 106 | 104 | 96 | 94 | 95 | 99 | 100 | 98 | 90 | |
| 2018 | 96 | 99 | 100 | 103 | 101 | 96 | 102 | 98 | 101 | 101 | 108 | 92 | |
| 2019 | 100 | 94 | 94 | 94 | 94 | 115 | 91 | 102 | 115 | 109 | 100 | 92 | |
| 2022 | 103 | 102 | 94 | 95 | 95 | 87 | 93 | 99 | 100 | 109 | 117 | 105 | |
| 2023 | 100 | 100 | 106 | 98 | 103 | 103 | 101 | 105 | 100 | 99 | 91 | 94 | |
| 2024 | 127 | 106 | 108 | 113 | 103 | 90 | 92 | 94 | 88 | 92 | 93 | 94 | |
| 2025 | 112 | 99 | 161 | 103 | 96 | 84 | 87 | 88 | 94 | 93 | 102 | 81 | |
Tourism_in_Japan |
2016 | 110 | 110 | 114 | 106 | 101 | 95 | 84 | 87 | 94 | 94 | 109 | 94 |
| 2017 | 99 | 102 | 103 | 101 | 105 | 97 | 94 | 107 | 92 | 101 | 109 | 90 | |
| 2018 | 109 | 101 | 109 | 111 | 111 | 92 | 96 | 88 | 95 | 102 | 96 | 89 | |
| 2019 | 105 | 95 | 100 | 107 | 112 | 102 | 101 | 90 | 94 | 107 | 104 | 82 | |
| 2022 | 102 | 96 | 101 | 99 | 109 | 83 | 84 | 88 | 104 | 111 | 115 | 110 | |
| 2023 | 84 | 82 | 102 | 107 | 97 | 94 | 96 | 100 | 101 | 106 | 119 | 110 | |
| 2024 | 105 | 86 | 104 | 112 | 113 | 101 | 94 | 88 | 93 | 102 | 103 | 99 | |
| 2025 | 133 | 101 | 99 | 93 | 94 | 91 | 85 | 91 | 91 | 107 | 121 | 94 | |
Visa_policy_of_Japan |
2016 | 99 | 92 | 98 | 106 | 100 | 102 | 100 | 104 | 103 | 101 | 100 | 94 |
| 2017 | 94 | 101 | 107 | 98 | 93 | 100 | 95 | 100 | 103 | 101 | 108 | 101 | |
| 2018 | 106 | 89 | 82 | 79 | 82 | 97 | 105 | 103 | 107 | 127 | 107 | 116 | |
| 2019 | 88 | 81 | 84 | 90 | 107 | 96 | 104 | 122 | 114 | 124 | 96 | 94 | |
| 2022 | 72 | 65 | 67 | 80 | 98 | 106 | 103 | 109 | 150 | 144 | 102 | 102 | |
| 2023 | 92 | 105 | 97 | 102 | 100 | 96 | 107 | 116 | 99 | 99 | 94 | 92 | |
| 2024 | 98 | 96 | 92 | 104 | 97 | 97 | 103 | 96 | 106 | 92 | 109 | 109 | |
| 2025 | 120 | 103 | 107 | 94 | 99 | 104 | 97 | 101 | 96 | 95 | 98 | 86 | |
Narita_International_Airport |
2016 | 109 | 104 | 123 | 100 | 98 | 93 | 95 | 105 | 96 | 94 | 89 | 94 |
| 2017 | 115 | 125 | 108 | 107 | 95 | 97 | 94 | 98 | 89 | 90 | 93 | 88 | |
| 2018 | 107 | 99 | 101 | 102 | 102 | 97 | 98 | 99 | 103 | 100 | 98 | 95 | |
| 2019 | 96 | 98 | 97 | 96 | 90 | 90 | 93 | 124 | 110 | 110 | 101 | 95 | |
| 2022 | 79 | 83 | 85 | 89 | 87 | 90 | 102 | 107 | 109 | 122 | 126 | 121 | |
| 2023 | 92 | 93 | 105 | 102 | 106 | 101 | 104 | 104 | 97 | 94 | 99 | 102 | |
| 2024 | 172 | 103 | 114 | 102 | 87 | 83 | 85 | 83 | 82 | 101 | 87 | 102 | |
| 2025 | 125 | 107 | 103 | 108 | 104 | 102 | 95 | 94 | 92 | 96 | 92 | 82 | |
Anime |
2016 | 103 | 101 | 100 | 107 | 103 | 105 | 109 | 97 | 94 | 92 | 96 | 94 |
| 2017 | 113 | 113 | 114 | 118 | 107 | 96 | 96 | 96 | 91 | 89 | 86 | 80 | |
| 2018 | 93 | 98 | 99 | 100 | 99 | 94 | 100 | 109 | 102 | 98 | 100 | 109 | |
| 2019 | 115 | 115 | 105 | 98 | 94 | 92 | 98 | 94 | 95 | 101 | 100 | 93 | |
| 2022 | 114 | 106 | 103 | 107 | 98 | 88 | 89 | 90 | 98 | 105 | 110 | 92 | |
| 2024 | 130 | 127 | 130 | 130 | 94 | 84 | 83 | 82 | 79 | 87 | 91 | 85 | |
| 2025 | 118 | 112 | 113 | 114 | 96 | 87 | 88 | 92 | 95 | 96 | 97 | 93 | |
英語 |
2016 | 104 | 108 | 95 | 100 | 103 | 105 | 99 | 100 | 95 | 97 | 100 | 94 |
| 2017 | 102 | 107 | 93 | 93 | 112 | 105 | 105 | 106 | 81 | 98 | 103 | 97 | |
| 2018 | 90 | 92 | 85 | 92 | 101 | 100 | 101 | 96 | 92 | 93 | 148 | 109 | |
| 2019 | 93 | 101 | 91 | 86 | 92 | 94 | 108 | 108 | 88 | 105 | 104 | 130 | |
| 2022 | 99 | 105 | 98 | 94 | 96 | 105 | 104 | 94 | 103 | 103 | 104 | 94 | |
| 2023 | 106 | 109 | 93 | 98 | 108 | 106 | 102 | 100 | 100 | 94 | 93 | 92 | |
| 2024 | 106 | 111 | 94 | 99 | 104 | 98 | 100 | 96 | 98 | 101 | 98 | 93 | |
| 2025 | 109 | 105 | 98 | 98 | 104 | 95 | 99 | 99 | 106 | 103 | 97 | 88 | |
TOEIC |
2016 | 95 | 101 | 96 | 128 | 115 | 92 | 109 | 78 | 118 | 92 | 90 | 85 |
| 2017 | 89 | 112 | 89 | 132 | 90 | 85 | 110 | 91 | 115 | 114 | 87 | 85 | |
| 2018 | 106 | 102 | 92 | 98 | 90 | 82 | 114 | 122 | 127 | 95 | 93 | 80 | |
| 2019 | 111 | 104 | 97 | 93 | 95 | 93 | 118 | 86 | 88 | 116 | 98 | 101 | |
| 2022 | 116 | 107 | 106 | 131 | 136 | 109 | 82 | 100 | 77 | 82 | 78 | 77 | |
| 2023 | 152 | 130 | 104 | 97 | 85 | 88 | 92 | 80 | 80 | 91 | 98 | 103 | |
| 2024 | 100 | 112 | 95 | 95 | 91 | 100 | 104 | 113 | 84 | 103 | 114 | 89 | |
| 2025 | 125 | 111 | 110 | 87 | 119 | 103 | 99 | 81 | 88 | 106 | 89 | 82 | |
留学 |
2016 | 122 | 122 | 117 | 117 | 103 | 104 | 97 | 88 | 90 | 92 | 77 | 70 |
| 2017 | 106 | 122 | 101 | 98 | 93 | 103 | 113 | 106 | 92 | 91 | 97 | 77 | |
| 2018 | 100 | 89 | 90 | 91 | 100 | 105 | 96 | 99 | 110 | 105 | 104 | 110 | |
| 2019 | 102 | 92 | 93 | 91 | 93 | 105 | 101 | 102 | 94 | 134 | 103 | 90 | |
| 2022 | 178 | 119 | 112 | 97 | 90 | 88 | 84 | 86 | 91 | 92 | 89 | 72 | |
| 2023 | 107 | 114 | 99 | 100 | 108 | 97 | 103 | 99 | 99 | 93 | 99 | 83 | |
| 2024 | 102 | 104 | 91 | 93 | 106 | 99 | 88 | 91 | 104 | 111 | 111 | 100 | |
| 2025 | 129 | 123 | 116 | 97 | 127 | 93 | 86 | 83 | 89 | 98 | 85 | 72 | |
海外旅行 |
2016 | 138 | 106 | 84 | 86 | 91 | 104 | 102 | 100 | 118 | 98 | 89 | 84 |
| 2017 | 111 | 90 | 99 | 96 | 100 | 100 | 120 | 120 | 91 | 98 | 90 | 84 | |
| 2018 | 99 | 101 | 81 | 72 | 132 | 89 | 104 | 116 | 108 | 108 | 88 | 104 | |
| 2019 | 147 | 98 | 86 | 84 | 99 | 104 | 120 | 97 | 95 | 92 | 95 | 82 | |
| 2022 | 132 | 97 | 86 | 119 | 96 | 116 | 90 | 101 | 89 | 110 | 75 | 89 | |
| 2023 | 91 | 106 | 91 | 141 | 108 | 124 | 120 | 92 | 87 | 89 | 75 | 76 | |
| 2024 | 100 | 101 | 110 | 107 | 101 | 112 | 101 | 90 | 98 | 109 | 86 | 85 | |
| 2025 | 131 | 102 | 121 | 118 | 103 | 94 | 86 | 91 | 103 | 89 | 85 | 76 | |
Cherry_blossom |
2016 | 76 | 105 | 200 | 203 | 121 | 76 | 63 | 67 | 77 | 75 | 72 | 64 |
| 2017 | 77 | 104 | 172 | 248 | 115 | 73 | 64 | 65 | 73 | 73 | 77 | 59 | |
| 2018 | 78 | 98 | 165 | 222 | 136 | 77 | 72 | 69 | 78 | 78 | 67 | 61 | |
| 2019 | 81 | 97 | 187 | 271 | 113 | 68 | 62 | 63 | 68 | 67 | 66 | 56 | |
| 2022 | 73 | 93 | 161 | 206 | 116 | 69 | 72 | 79 | 84 | 83 | 93 | 71 | |
| 2023 | 63 | 98 | 184 | 192 | 111 | 80 | 76 | 74 | 86 | 75 | 82 | 79 | |
| 2024 | 96 | 120 | 220 | 251 | 104 | 69 | 56 | 54 | 61 | 60 | 58 | 48 | |
| 2025 | 80 | 87 | 334 | 226 | 97 | 56 | 51 | 51 | 55 | 52 | 64 | 46 | |
ゴールデンウィーク |
2016 | 38 | 50 | 92 | 507 | 342 | 28 | 28 | 25 | 26 | 20 | 22 | 24 |
| 2017 | 36 | 45 | 76 | 394 | 458 | 25 | 34 | 25 | 24 | 22 | 26 | 35 | |
| 2018 | 36 | 44 | 89 | 543 | 266 | 34 | 31 | 28 | 28 | 33 | 31 | 37 | |
| 2019 | 58 | 68 | 100 | 478 | 250 | 35 | 35 | 34 | 32 | 33 | 35 | 41 | |
| 2022 | 42 | 45 | 73 | 496 | 342 | 30 | 26 | 27 | 39 | 27 | 28 | 28 | |
| 2023 | 37 | 44 | 58 | 457 | 403 | 32 | 32 | 28 | 31 | 25 | 24 | 28 | |
| 2024 | 55 | 49 | 70 | 493 | 299 | 30 | 34 | 34 | 38 | 31 | 34 | 33 | |
| 2025 | 35 | 41 | 60 | 558 | 308 | 27 | 24 | 27 | 30 | 32 | 28 | 30 | |
Golden_Week |
2016 | 67 | 76 | 71 | 214 | 210 | 41 | 46 | 64 | 146 | 146 | 67 | 52 |
| 2017 | 47 | 44 | 68 | 242 | 331 | 33 | 32 | 47 | 120 | 158 | 37 | 41 | |
| 2018 | 88 | 75 | 72 | 205 | 174 | 48 | 60 | 68 | 153 | 157 | 56 | 42 | |
| 2019 | 75 | 87 | 76 | 322 | 195 | 44 | 53 | 48 | 119 | 103 | 39 | 40 | |
| 2022 | 67 | 51 | 63 | 206 | 233 | 43 | 53 | 42 | 146 | 194 | 57 | 45 | |
| 2023 | 61 | 35 | 50 | 190 | 271 | 101 | 40 | 59 | 135 | 151 | 50 | 57 | |
| 2024 | 61 | 62 | 59 | 321 | 241 | 36 | 36 | 56 | 134 | 129 | 30 | 33 | |
| 2025 | 72 | 54 | 56 | 222 | 314 | 35 | 53 | 72 | 94 | 128 | 45 | 54 | |
Japanese-Language_Proficiency_Test |
2016 | 121 | 102 | 95 | 94 | 88 | 104 | 100 | 112 | 105 | 88 | 93 | 99 |
| 2017 | 109 | 101 | 96 | 85 | 89 | 98 | 99 | 106 | 108 | 95 | 115 | 98 | |
| 2018 | 107 | 90 | 86 | 82 | 82 | 98 | 94 | 111 | 108 | 98 | 126 | 118 | |
| 2019 | 123 | 115 | 90 | 83 | 72 | 86 | 114 | 112 | 101 | 92 | 114 | 97 | |
| 2022 | 129 | 106 | 100 | 96 | 79 | 89 | 94 | 108 | 92 | 84 | 125 | 98 | |
| 2023 | 94 | 85 | 89 | 83 | 86 | 91 | 100 | 122 | 100 | 93 | 121 | 135 | |
| 2024 | 134 | 97 | 110 | 86 | 85 | 94 | 111 | 114 | 97 | 83 | 99 | 92 | |
| 2025 | 143 | 129 | 117 | 96 | 91 | 93 | 96 | 103 | 86 | 78 | 82 | 86 |
Raw views per calendar year, before any normalisation. - = no data published for that year.
| Page | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Japanese_language |
1,715,454 | 1,686,355 | 1,413,553 | 1,294,353 | 1,515,669 | 1,664,749 | 2,200,681 | 2,647,812 | 1,931,758 | 1,344,444 | 631,542 |
Hiragana |
867,975 | 1,026,440 | 1,112,321 | 1,055,717 | 1,256,529 | 1,237,286 | 916,061 | 996,121 | 925,337 | 748,212 | 326,059 |
Katakana |
720,223 | 777,831 | 875,561 | 866,206 | 950,861 | 966,993 | 733,352 | 863,900 | 723,452 | 672,852 | 317,549 |
Kanji |
657,180 | 756,868 | 720,072 | 636,468 | 686,428 | 691,391 | 629,193 | 704,058 | 698,660 | 557,487 | 262,239 |
Japanese_writing_system |
402,728 | 398,593 | 458,771 | 430,396 | 515,436 | 477,789 | 327,561 | 368,617 | 389,879 | 299,085 | 136,203 |
Japan |
5,831,097 | 5,677,917 | 5,705,228 | 5,429,180 | 5,356,416 | 6,747,215 | 7,898,985 | 7,413,009 | 6,183,068 | 5,105,457 | 2,539,239 |
Tokyo |
2,073,745 | 2,038,113 | 2,140,582 | 2,151,210 | 1,985,476 | 2,600,951 | 2,305,516 | 2,682,340 | 2,460,185 | 2,121,182 | 959,442 |
Tourism_in_Japan |
78,615 | 86,847 | 84,623 | 86,697 | 61,774 | 49,824 | 43,265 | 62,746 | 85,953 | 86,089 | 40,928 |
Visa_policy_of_Japan |
75,104 | 93,590 | 113,622 | 179,877 | 90,553 | 40,251 | 52,795 | 75,124 | 87,137 | 88,267 | 44,335 |
Narita_International_Airport |
410,743 | 405,319 | 398,735 | 457,981 | 279,604 | 225,156 | 297,096 | 441,380 | 468,730 | 379,894 | 188,923 |
Anime |
1,971,862 | 1,822,326 | 1,788,983 | 1,689,096 | 2,325,018 | 2,636,963 | 2,590,490 | - | 2,648,969 | 1,930,712 | 985,575 |
英語 |
536,724 | 551,348 | 614,441 | 641,484 | 670,390 | 716,600 | 613,925 | 571,455 | 553,918 | 494,919 | 239,908 |
TOEIC |
9,913 | 11,503 | 10,035 | 9,504 | 11,394 | 10,201 | 9,682 | 7,600 | 7,707 | 5,954 | 2,901 |
留学 |
34,338 | 27,895 | 25,104 | 28,539 | 27,867 | 25,213 | 19,268 | 15,539 | 15,264 | 13,743 | 6,685 |
海外旅行 |
25,199 | 23,278 | 24,133 | 23,062 | 18,144 | 14,705 | 10,636 | 9,993 | 8,169 | 8,321 | 3,472 |
Cherry_blossom |
748,595 | 803,015 | 777,689 | 711,069 | 628,059 | 655,375 | 594,526 | 885,832 | 1,008,073 | 725,493 | 309,501 |
ゴールデンウィーク |
192,358 | 189,685 | 186,736 | 156,007 | 193,723 | 140,921 | 109,459 | 110,400 | 103,636 | 123,718 | 98,912 |
Golden_Week |
3,123 | 6,220 | 4,489 | 3,543 | 3,121 | 2,676 | 2,309 | 3,666 | 4,342 | 3,471 | 2,984 |
Japanese-Language_Proficiency_Test |
100,519 | 104,859 | 121,220 | 148,671 | 142,766 | 139,236 | 115,921 | 140,177 | 168,298 | 118,532 | 45,817 |
Pearson r between a page's 12-month profile and each group composite. High r against its own group means the page really belongs there; the event pages should and do stand apart.
| Page | Grp | vs A | vs B | vs C |
|---|---|---|---|---|
Japanese_language |
A | +0.93 | +0.82 | +0.63 |
Hiragana |
A | +0.96 | +0.84 | +0.75 |
Katakana |
A | +0.96 | +0.85 | +0.61 |
Kanji |
A | +0.94 | +0.90 | +0.75 |
Japanese_writing_system |
A | +0.96 | +0.81 | +0.78 |
Japan |
B | +0.99 | +0.93 | +0.70 |
Tokyo |
B | +0.78 | +0.91 | +0.36 |
Tourism_in_Japan |
B | +0.52 | +0.69 | +0.17 |
Visa_policy_of_Japan |
B | -0.51 | -0.45 | -0.31 |
Narita_International_Airport |
B | +0.72 | +0.87 | +0.55 |
Anime |
B | +0.91 | +0.88 | +0.61 |
英語 |
C | -0.06 | -0.25 | +0.24 |
TOEIC |
C | +0.86 | +0.65 | +0.89 |
留学 |
C | +0.88 | +0.73 | +0.93 |
海外旅行 |
C | +0.48 | +0.35 | +0.88 |
Cherry_blossom |
D | +0.50 | +0.57 | +0.05 |
ゴールデンウィーク |
D | +0.28 | +0.28 | +0.10 |
Golden_Week |
D | +0.27 | +0.23 | +0.11 |
Japanese-Language_Proficiency_Test |
D | +0.09 | +0.20 | +0.21 |
Absolute scale behind the indices: mean views/day per calendar month, complete years only. The indices above are these numbers normalised against each page's own annual mean.
| Page | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
Japanese_language |
5,241 | 5,330 | 5,051 | 4,890 | 5,080 | 4,636 | 4,465 | 4,583 | 4,794 | 4,954 | 4,942 | 4,523 |
Hiragana |
2,845 | 2,806 | 2,771 | 2,712 | 2,599 | 2,517 | 2,511 | 2,563 | 2,658 | 2,647 | 2,494 | 2,300 |
Katakana |
2,246 | 2,308 | 2,308 | 2,220 | 2,138 | 2,028 | 2,038 | 2,055 | 2,127 | 2,181 | 2,053 | 1,906 |
Kanji |
2,007 | 1,940 | 1,920 | 1,920 | 1,848 | 1,755 | 1,787 | 1,800 | 1,745 | 1,787 | 1,797 | 1,711 |
Japanese_writing_system |
1,133 | 1,131 | 1,093 | 1,126 | 1,072 | 1,002 | 1,052 | 986 | 1,015 | 1,046 | 1,034 | 948 |
Japan |
18,231 | 17,898 | 17,880 | 17,589 | 17,104 | 15,970 | 16,241 | 16,252 | 16,333 | 16,823 | 16,547 | 15,436 |
Tokyo |
6,480 | 6,209 | 6,689 | 6,290 | 6,139 | 5,868 | 5,767 | 6,192 | 6,111 | 6,140 | 6,214 | 5,711 |
Tourism_in_Japan |
225 | 204 | 219 | 221 | 222 | 200 | 194 | 194 | 200 | 217 | 229 | 199 |
Visa_policy_of_Japan |
253 | 239 | 240 | 245 | 255 | 259 | 267 | 283 | 284 | 291 | 266 | 260 |
Narita_International_Airport |
1,265 | 1,137 | 1,172 | 1,127 | 1,072 | 1,049 | 1,064 | 1,134 | 1,079 | 1,120 | 1,085 | 1,079 |
Anime |
6,402 | 6,259 | 6,211 | 6,300 | 5,564 | 5,185 | 5,293 | 5,273 | 5,245 | 5,395 | 5,491 | 5,191 |
英語 |
1,580 | 1,634 | 1,463 | 1,483 | 1,601 | 1,583 | 1,607 | 1,565 | 1,492 | 1,556 | 1,668 | 1,574 |
TOEIC |
27 | 27 | 24 | 27 | 25 | 23 | 26 | 23 | 24 | 25 | 23 | 22 |
留学 |
72 | 68 | 63 | 61 | 62 | 62 | 60 | 59 | 59 | 63 | 58 | 52 |
海外旅行 |
55 | 45 | 41 | 43 | 47 | 47 | 49 | 47 | 46 | 45 | 40 | 39 |
Cherry_blossom |
1,687 | 2,171 | 4,364 | 4,885 | 2,439 | 1,527 | 1,379 | 1,385 | 1,551 | 1,500 | 1,536 | 1,290 |
ゴールデンウィーク |
166 | 195 | 320 | 1,963 | 1,343 | 120 | 124 | 113 | 120 | 110 | 113 | 130 |
Golden_Week |
7 | 6 | 7 | 26 | 27 | 5 | 5 | 6 | 14 | 15 | 5 | 5 |
Japanese-Language_Proficiency_Test |
419 | 358 | 342 | 306 | 291 | 326 | 354 | 388 | 347 | 310 | 381 | 359 |
The highest-index month in each individual year. A column that repeats the same month is a stable seasonal pattern; a scattered row is a page with no real season.
| Page | 2016 | 2017 | 2018 | 2019 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|---|---|---|
Japanese_language |
Oct | May | Feb | Feb | Nov | May | Jan | Jan |
Hiragana |
Nov | Jun | Jan | Jan | Jan | Sep | Mar | Jan |
Katakana |
Sep | Feb | Oct | Jan | Mar | Oct | Mar | Feb |
Kanji |
Jan | Feb | Jan | Jan | Jan | Mar | Jan | Jan |
Japanese_writing_system |
Jul | Nov | Apr | Jan | Jan | Apr | Jul | Feb |
Japan |
Apr | Feb | Jul | Oct | Nov | Mar | Jan | Oct |
Tokyo |
Aug | Mar | Nov | Jun | Nov | Mar | Jan | Mar |
Tourism_in_Japan |
Mar | Nov | Apr | May | Nov | Nov | May | Jan |
Visa_policy_of_Japan |
Apr | Nov | Oct | Oct | Sep | Aug | Nov | Jan |
Narita_International_Airport |
Mar | Feb | Jan | Aug | Nov | May | Jan | Jan |
Anime |
Jul | Apr | Aug | Jan | Jan | - | Apr | Jan |
英語 |
Feb | May | Nov | Dec | Jun | Feb | Feb | Jan |
TOEIC |
Apr | Apr | Sep | Jul | May | Jan | Nov | Jan |
留学 |
Jan | Feb | Dec | Oct | Jan | Feb | Oct | Jan |
海外旅行 |
Jan | Aug | May | Jan | Jan | Apr | Jun | Jan |
Cherry_blossom |
Apr | Apr | Apr | Apr | Apr | Apr | Apr | Mar |
ゴールデンウィーク |
Apr | May | Apr | Apr | Apr | Apr | Apr | Apr |
Golden_Week |
Apr | May | Apr | Apr | May | May | Apr | May |
Japanese-Language_Proficiency_Test |
Jan | Nov | Nov | Jan | Jan | Dec | Jan | Jan |
Raw monthly counts cannot be compared directly: February is short, and every page has its own popularity trend. So each page is reduced to a seasonal index:
views -> views/day, removing the 28-vs-31 day artefact.- Each month is divided by its own calendar year's mean, removing the long-run trend and the page's absolute popularity.
- Those ratios are averaged per calendar month across years.
100 = that page's own average month. 110 means 10% above its own baseline. Only complete calendar years are used. 2020-2021 are dropped as COVID-distorted.
Composites are the median across the pages in a group, not the mean, so one small page with a huge amplitude cannot swamp the group. Event-driven pages (group D) are reported on their own and never enter any composite - their job is to date the underlying real-world events, not to measure ambient interest.
- en.wikipedia skews Anglophone and northern-hemisphere. The January peak partly reflects who is reading, not a global constant. A southern-hemisphere or non-English replication would be the obvious next cut.
- Pageviews measure curiosity, not behaviour. Nobody boards a plane because
they read
Narita_International_Airport. The Jan -> Apr gap is consistent with a research-then-travel lag; this data cannot establish that link. - JLPT is excluded from the composites on purpose. Its Jan/Aug/Nov peaks track result releases and registration windows. Left in, it would read as ambient seasonality when it is really an administrative calendar.
- Group C is thin. Those ja.wikipedia pages are small (0.1-6.2M), so the outbound composite rests on a narrower base than the inbound one.
- Two pages sit badly in their assigned group, and the correlation table
says so rather than hiding it.
Visa_policy_of_Japancorrelates negatively with its own group B composite: it peaks in autumn and troughs in February, the opposite shape to the rest.英語barely correlates with anything. Both are outvoted by the median, which is exactly why the composites use one, but a stricter version of this study would drop them. Animehas no 2017-2018 data (title move); it contributes 7 complete years instead of 8.Golden_Week(en) is too small to be worth much at all and is kept only as a contrast to the domestic article.- 2020-2021 are excluded, not modelled. The pandemic did not merely scale travel interest down, it changed its shape; averaging it in would blur exactly the seasonal structure being measured.
python3 scripts/fetch.py # -> data/pv_raw.json (hits the Wikimedia API)
python3 scripts/analyze.py # -> data/seasonality.json + text report
python3 scripts/make_readme.py # -> README.md (this file)
data/pv_raw.json is committed, so analyze.py and make_readme.py reproduce
every number below with no network access. Only fetch.py needs the API. No
dependencies beyond the Python 3 standard library.
Two Wikimedia API traps are handled in fetch.py, both found the hard way
during this analysis:
- The monthly endpoint truncates the final bucket at the end timestamp. An
end of
YYYY120100silently returns a December containing a single day, which looks exactly like a real 97% collapse in December traffic. End onYYYY123100. - Some articles 404 on a long range but succeed year-by-year where title moves left gaps, so the fetcher falls back to per-year requests.
scripts/fetch.py fetch monthly pageviews from the Wikimedia API
scripts/analyze.py build seasonal indices and composites
scripts/make_readme.py render this README from the results
data/pv_raw.json 2,420 page-months, as fetched
data/seasonality.json computed indices, composites and metadata
LICENSE CC BY 4.0
This is an independent hobby analysis with no affiliation to the Wikimedia Foundation, and it is not endorsed by it.
It measures Wikipedia pageviews and nothing else. Pageviews are a proxy for curiosity, heavily shaped by who happens to read Wikipedia, and they are not a measure of tourism, migration, language enrolment, or economic activity. The inbound/outbound framing is an interpretation of reading patterns, not a measurement of anyone crossing a border. Figures are relative indices against each page's own baseline, not absolute demand. Do not use any of this for commercial, policy, or travel-industry decisions without independent data.
Underlying pageview counts are published by the Wikimedia Foundation under the Creative Commons CC0 1.0 public domain dedication, retrieved from the Wikimedia REST API. "Wikipedia" and "Wikimedia" are trademarks of the Wikimedia Foundation. Provided as is, without warranty of any kind.
CC BY 4.0. Attribution appreciated: link back to this repo.