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Bloomberg CityLab engagement report

@CityLab - 221K followers on X

Measured over 65 original posts from a 30-day window, last computed on October 2, 2026.

Engagement

Bottom 10% for its size
Per follower
0.001%
of 221K followers
Per impression
0.081%
2.5K views on a typical post
Reach
1.12%
of its followers see a post
Typical post
2
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
2.23/day
active 83% of days
Peak time
15:00 UTC
Friday

A typical post picks up 2 interactions against 221K followers, an engagement rate of 0.001%. Measured over 65 original posts, its engagement rate beats 5% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.5K times each, and 0.081% of those impressions turn into an interaction. That is about 1.12% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 65 posts sampled, 18% carry an image or video and 100% link out. The account's strongest tracked post pulled 493 interactions, about 247x its own typical post.

Measured over 65 original posts from a 30-day window, last computed on October 2, 2026.

Compared with accounts its own size

Bloomberg CityLab's engagement rate beats 5% of the tracked X accounts closest to it in follower count (20,444 accounts, accounts of similar size (decile 9 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 5% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.001%, Bloomberg CityLab sits below the 10th percentile of the 204,956 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,956 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,894 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 percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
99th percentile82.4%

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 15:00 UTC, and Friday 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: 15:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 15:00 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: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
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 video18% of posts+111%+108% to +115%34K
Outbound link100% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 18% 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.
  • 100% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 195 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

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

  • Aug 31, 2026247x their median

    Chinese carmaker BYD inquired about taking over an idled Stellantis NV plant in the Toronto suburbs, according to a local politician https://t.co/AIUrk9Cxss

    394452232103K viewsView on X
  • Sep 26, 20269.5x their median

    Some city layouts are better for shorter commutes. A new study finds the best design is a round shape with the tallest buildings in the center. Read more: https://t.co/O1vFIh8gLW 📷: Rafael Prieto-Curiel https://t.co/fflb5YolHP

    151128.8K viewsView on X
  • Sep 23, 20266.0x their median

    AI data centers release superheated plumes of air that can blow across property lines, threatening to exacerbate the urban heat island effect in cities https://t.co/d9A6WYrJVI

    65013.3K viewsView on X
  • Sep 22, 20265.0x their median

    Governor Greg Abbott has directed the Texas Commission on Environmental Quality to halt all permits sought by data centers until an audit of risks to the grid is complete https://t.co/mgi2RJzcjx

    54103.7K viewsView on X
  • Sep 15, 20265.0x their median

    Singapore's unique vehicle quota system has made it one of the world’s most expensive places to buy a new car. Read more on how it works, and why it’s unlikely to succeed elsewhere, according to David Zipper: https://t.co/ydmjD8r9Qj 📷️: Roslan Rahman/AFP/Getty Images https://t.co/CjzqZpEvJS

    64002.8K viewsView on X
  • Aug 31, 20265.0x their median

    Bangkok is tackling homelessness by giving people a home first — before requiring work or treatment — then helping them rebuild https://t.co/ZCoYqR0aCo

    64003.7K viewsView on X
  • Apr 22, 20265.0x their median

    The week’s most thought-provoking stories, ideas and analysis from cities around the world. Subscribe to our CityLab Weekly newsletter: https://t.co/2m3grEuGt3 https://t.co/ECwjCVU9yN

    50505.0K viewsView on X
  • Sep 29, 20264.5x their median

    Cleveland wants to transform Burke Lakefront Airport into a park, following in the steps of other cities that found new uses for old urban airfields. But that plan might not fly https://t.co/IzGXjRccmF

    51036.0K viewsView on X
  • Sep 8, 20264.5x their median

    Some 90,000 reservoirs supply nearly 70% of US water supplies. But they are slowly filling up with sediment — and wildfire and rains are making it worse. The solutions are tricky and expensive https://t.co/E0g7j7Prew

    45002.2K viewsView on X
  • Sep 30, 20263.5x their median

    New York built a clutch of elaborate, experimental skyscrapers in the late 19th century. Many haven’t survived. Read the latest Design Edition newsletter here: https://t.co/PDAnAlV0EA 📷: Geo. P. Hall & Son/The New York Historical/Getty Images https://t.co/w8Copl6OFa

    52002.4K 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 2 interactions against 221K followers, an engagement rate of 0.001%. Measured over 65 original posts, its engagement rate beats 5% of 20,444 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 2.5K times each, and 0.081% of those impressions turn into an interaction. That is about 1.12% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.2 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 15:00 UTC, and Friday is the busiest day of the week. Of the 65 posts sampled, 18% carry an image or video and 100% link out. The account's strongest tracked post pulled 493 interactions, about 247x its own typical post.

What is Bloomberg CityLab's engagement rate on X?
Bloomberg CityLab (@CityLab) has an engagement rate of 0.001%, based on the median interactions across 65 original posts from the last 30 days against 221,447 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.001%, Bloomberg CityLab sits below the 10th percentile of the 204,956 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 @CityLab have real engagement?
Its engagement rate beats 5% of the tracked X accounts closest to it in follower count (20,444 accounts), which puts it in the bottom 10% for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @CityLab post?
Most posts go out around 15:00 UTC, and Friday is its busiest day, at roughly 2.23 posts per day across the measured window.

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