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にゃんこそば🌤データ可視化 engagement report

@ShinagawaJP - 84K followers on X

Measured over 4 original posts from a 30-day window, last computed on October 15, 2026.

Engagement

Per follower
7.18%
of 84K followers
Per impression
1.47%
412K views on a typical post
Reach
488.3%
of its followers see a post
Typical post
6.1K
interactions (median)
Saved
0.103%
426 bookmarks on a typical post
Posting rate
0.63/day
active 27% of days
Peak time
06:00 UTC
Monday

Early reading. We have captured 4 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 6.1K interactions against 84K followers, an engagement rate of 7.18%. Posts are seen about 412K times each, and 1.47% of those impressions turn into an interaction. That is about 490.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 06:00 UTC, and Monday is the busiest day of the week. Of the 4 posts sampled, 100% carry an image or video and 75% are part of a thread. The account's strongest tracked post pulled 121K interactions, about 20x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 4 original posts from a 30-day window, last computed on October 15, 2026.

Where this sits in the catalog

At 7.18%, にゃんこそば🌤データ可視化 sits above the 90th percentile of the 213,004 accounts in this comparison. That places it in the top 10% band, which runs 2.61% to 82.8%.

p100.004%
p250.025%
p50 (median)0.147%
p750.698%
p902.61%
p9982.8%
Engagement rate as a share of followers, across the 213,004 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,390 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.025%
50th percentile0.147%
75th percentile0.698%
90th percentile2.61%
99th percentile82.8%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 06:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 06:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 06:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video100% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 100% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 0% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 127 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Jul 28, 202620x their median

    【速報】イオンモール熊本「かなりの死者が出ている」熊本県警 https://t.co/okAfcQTryr 熊本県警によると、震度5弱を観測し、建物が崩壊している嘉島町のイオンモール熊本について「かなりの死者が出ている。正確な死者数の確認には時間がかかりそうだ」という。 https://t.co/8p2cSq3ZAS

    93K22K285.8K20M viewsView on X
  • Jun 4, 20216.3x their median

    うどん屋・そば屋の分布を描いてみたら東日本・西日本の"もうひとつの境界線"が現れた。 ざっくり西高東低の傾向ながら、東側にも"うどん文化圏"があって面白い。氷見うどん(富山)、そば優勢のエリアにぽつんと残ってるだけあって美味しいんだろうなぁ・・・🍜 https://t.co/cUN85sHQpa

    24K12K1221.5KView on X
  • Aug 22, 20262.8x their median

    池袋のウイロード、水没してた https://t.co/JRqxvwV3D6

    13K3.5K1157161.6M viewsView on X
  • Aug 22, 20262.8x their median

    西荻窪、道路が川と化しています。 https://t.co/3jITWMuQ9m

    13K3.3K1825877.5M viewsView on X
  • Sep 21, 20261.9x their median

    下馬の交差点や若宮大路沿いも冠水。 市内各所で冠水しておりますので、車での移動は危険です。 https://t.co/ghSkDMScuY

    6.6K4.2K1144751.6M viewsView on X
  • Aug 11, 2026

    11日20時頃、台風15号が「観測史上初めて」茨城県南部に上陸。 東から来る台風は珍しいなぁ~と思って、過去に日本に上陸した台風の経路を可視化してみたら、15号はまさに「迷走台風」だった・・・。🧐 https://t.co/EAwqBJ5TLi

    5.9K2.1K481591.2M viewsView on X
  • Sep 22, 2026

    今回の大雨、「千葉は災害に弱い」といった投稿がちらほら流れてくるんですが、ここまで降っても無傷な地域はほとんどないと思います。 今回被害が大きかった千葉と三浦半島では、24~48時間雨量が観測史上最大を更新したところも。指標によっては「30~100年に一度の雨」が降りました。 https://t.co/6YB5LhTRg8

    4.7K1.8K77147494K viewsView on X
  • Aug 28, 2026

    ネパールの洪水、衛星写真を確認したら100km近くにわたって氾濫していてまさに「広域災害」・・・。 国境検問所が跡形も無くなった吉隆口岸のみならず、50~70km先でも集落が流されている。 奥多摩で何かあったら、数時間後に蒲田・川崎が無くなるとか、そんな距離感。 https://t.co/CUgCx6oksh

    3.8K1.8K1561270K viewsView on X
  • Aug 28, 2026

    ネパールの洪水、衛星写真を見ていて「ひぇっ」となるのが、土石流が川をさかのぼっていること。 例えば国境のギロン港(吉隆口岸)では、約3kmにわたって泥流の遡上痕が見られる。 洪水が支流に入ること自体は珍しくないけど、今回は「標高300m以上」も駆け上がっている。これは逃げられない・・・。 https://t.co/JgkrACg3mL

    3.9K1.6K1744327K viewsView on X
  • Sep 23, 2026

    今回の印旛沼の氾濫域を明治時代の地図に重ねたところ、当時の水域と驚くほど一致していた。 堤防が切れたことで標高に忠実に水が溜まり、当時の水域に(一時的に)戻ってしまったと・・・。 もし他の堤防が切れていたら、「北印旛沼」の西半分や「西印旛沼」も危なかったかもしれない。 https://t.co/FdCqVtz4y8

    3.8K1.5K2373329K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 6.1K interactions against 84K followers, an engagement rate of 7.18%. Posts are seen about 412K times each, and 1.47% of those impressions turn into an interaction. That is about 490.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.63 post a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 06:00 UTC, and Monday is the busiest day of the week. Of the 4 posts sampled, 100% carry an image or video and 75% are part of a thread. The account's strongest tracked post pulled 121K interactions, about 20x its own typical post. Only 4 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is にゃんこそば🌤データ可視化's engagement rate on X?
にゃんこそば🌤データ可視化 (@ShinagawaJP) has an engagement rate of 7.18%, based on the median interactions across 4 original posts from the last 30 days against 83,841 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 7.18%, にゃんこそば🌤データ可視化 sits above the 90th percentile of the 213,004 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @ShinagawaJP have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @ShinagawaJP post?
Most posts go out around 06:00 UTC, and Monday is its busiest day, at roughly 0.63 posts per day across the measured window.

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