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NHS Million engagement report

@NHSMillion - 729K followers on X

Measured over 8 original posts from a 30-day window, last computed on August 24, 2026.

Engagement

Top quarter for its size
Per follower
0.406%
of 729K followers
Per impression
3.26%
91K views on a typical post
Reach
12.4%
of its followers see a post
Typical post
3.0K
interactions (median)
Saved
0.026%
24 bookmarks on a typical post
Posting rate
0.83/day
active 20% of days
Peak time
11:00 UTC
Wednesday

A typical post picks up 3.0K interactions against 729K followers, an engagement rate of 0.406%. Measured over 8 original posts, its engagement rate beats 89% of 6,874 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 91K times each, and 3.26% of those impressions turn into an interaction. That is about 12.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. Of the 8 posts sampled, 25% carry an image or video and 13% are part of a thread. The account's strongest tracked post pulled 34K interactions, about 12x its own typical post.

Measured over 8 original posts from a 30-day window, last computed on August 24, 2026.

Compared with accounts its own size

NHS Million's engagement rate beats 89% of the tracked X accounts closest to it in follower count (6,874 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 82% 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 0.406%, NHS Million sits above the 50th percentile of the 66,536 accounts in this comparison. That places it in the above the median band, which runs 0.1% to 0.5%.

p100.002%
p250.016%
p50 (median)0.1%
p750.5%
p902.09%
p99119.7%
Engagement rate as a share of followers, across the 66,536 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 56,995 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 percentile0.002%
25th percentile0.016%
50th percentile0.1%
75th percentile0.5%
90th percentile2.09%
99th percentile119.7%

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 11:00 UTC, and Wednesday 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: 11:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 11:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video25% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 25% 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 654 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above 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 23, 202612x their median

    A Restore Britain Government will allow pub landlords and other venue owners to install a smoking room. If adults want to smoke inside a contained room, and the landlord is happy to provide that, then it's none of our business. Crack on.

    28K2.0K3.0K7972.4M viewsView on X
  • Jun 25, 20268.0x their median

    One NHS, many nationalities. Huge thanks to every single person who helps keep the NHS going ๐Ÿ’™ https://t.co/OiIzQaE9kV

    19K3.5K1.2K5162.9M viewsView on X
  • Jul 29, 20265.4x their median

    If Andy Burnham is serious about putting politics aside to solve Britainโ€™s biggest problems, itโ€™s remarkable that heโ€™s chosen to ignore Reform. He is conspiring behind closed doors with the failed political establishment to foist further tax rises on the country. The fact Ed Davey and Kemi Badenoch are going along with this tells you all you need to know. This is the uniparty in action.

    11K1.8K3.2K3691.3M viewsView on X
  • Jul 26, 20263.1x their median

    ๐ŸšจNEW: The NHS is considering making attending Premier League football games an official treatment option for depression [@SkySportsNews]

    7.0K3746241.0K2.5M viewsView on X
  • Jul 26, 2026

    NHS staff by nationality according to the latest figures (April 2026). Where is your country on the list? ๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom: 1,043,607 ๐Ÿ‡ฎ๐Ÿ‡ณ India: 78,840 ๐Ÿ‡ณ๐Ÿ‡ฌ Nigeria: 42,937 ๐Ÿ‡ต๐Ÿ‡ญ Philippines: 33,629 ๐Ÿ‡ฎ๐Ÿ‡ช Ireland: 12,509 ๐Ÿ‡ต๐Ÿ‡ฑ Poland: 11,191 ๐Ÿ‡ฌ๐Ÿ‡ญ Ghana: 9,908 ๐Ÿ‡ต๐Ÿ‡ฐ Pakistan: 9,204 ๐Ÿ‡ต๐Ÿ‡น Portugal: 8,220 ๐Ÿ‡ฎ๐Ÿ‡น Italy: 7,577 ๐Ÿ‡ฟ๐Ÿ‡ผ Zimbabwe: 6,789 ๐Ÿ‡ท๐Ÿ‡ด Romania: 6,060 ๐Ÿ‡ช๐Ÿ‡ธ Spain: 4,988 ๐Ÿ‡ช๐Ÿ‡ฌ Egypt: 4,888 ๐Ÿ‡ณ๐Ÿ‡ตNepal: 4,512 ๐Ÿ‡ฑ๐Ÿ‡ฐ Sri Lanka: 3,851 ๐Ÿ‡ฒ๐Ÿ‡พ Malaysia: 3,350 ๐Ÿ‡ฌ๐Ÿ‡ท Greece: 3,321 ๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands: 2,616 ๐Ÿ‡ฆ๐Ÿ‡บ Australia: 2,595 ๐Ÿ‡ฉ๐Ÿ‡ช Germany: 2,492 ๐Ÿ‡ฐ๐Ÿ‡ช Kenya: 2,469 ๐Ÿ‡ฏ๐Ÿ‡ฒ Jamaica: 2,460 ๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa: 2,290 ๐Ÿ‡ง๐Ÿ‡ฉ Bangladesh: 2,239 ๐Ÿ‡จ๐Ÿ‡ณ China: 2,062 ๐Ÿ‡ฑ๐Ÿ‡น Lithuania: 1,963 ๐Ÿ‡ซ๐Ÿ‡ท France: 1,947 ๐Ÿ‡ธ๐Ÿ‡ฉ Sudan: 1,728 ๐Ÿ‡บ๐Ÿ‡ธ United States: 1,659 ๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong: 1,619 ๐Ÿ‡ฎ๐Ÿ‡ท Iran: 1,381 ๐Ÿ‡ญ๐Ÿ‡บ Hungary: 1,374 ๐Ÿ‡จ๐Ÿ‡ฆ Canada: 1,315 ๐Ÿ‡ง๐Ÿ‡ฌ Bulgaria: 1,263 ๐Ÿ‡ณ๐Ÿ‡ช Niger: 1,252 ๐Ÿ‡ฒ๐Ÿ‡บ Mauritius: 1,207 ๐Ÿ‡ฒ๐Ÿ‡ฒ Myanmar: 1,050 ๐Ÿ‡ฟ๐Ÿ‡ฒ Zambia: 1,008 ๐Ÿ‡น๐Ÿ‡น Trinidad and Tobago: 947 ๐Ÿ‡ธ๐Ÿ‡ฐ Slovakia: 930 ๐Ÿ‡บ๐Ÿ‡ฌ Uganda: 920 ๐Ÿ‡ธ๐Ÿ‡ช Sweden: 862 ๐Ÿ‡น๐Ÿ‡ท Tรผrkiye: 861 ๐Ÿ‡ง๐Ÿ‡ท Brazil: 789 ๐Ÿ‡ฏ๐Ÿ‡ด Jordan: 780 ๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand: 779 ๐Ÿ‡ฑ๐Ÿ‡ป Latvia: 760 ๐Ÿ‡จ๐Ÿ‡ฟ Czech Republic: 736 ๐Ÿ‡จ๐Ÿ‡ฒ Cameroon: 678 ๐Ÿ‡ฎ๐Ÿ‡ถ Iraq: 636 ๐Ÿ‡ธ๐Ÿ‡ฌ Singapore: 627 ๐Ÿ‡ธ๐Ÿ‡ฑ Sierra Leone: 595 ๐Ÿ‡ง๐Ÿ‡ช Belgium: 542 ๐Ÿ‡ฌ๐Ÿ‡พ Guyana: 521 ๐Ÿ‡บ๐Ÿ‡ฆ Ukraine: 507 ๐Ÿ‡ฆ๐Ÿ‡น Austria: 492 ๐Ÿ‡จ๐Ÿ‡พ Cyprus: 466 ๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark: 453 ๐Ÿ‡ธ๐Ÿ‡ด Somalia: 432 ๐Ÿ‡น๐Ÿ‡ญ Thailand: 418 ๐Ÿ‡ฌ๐Ÿ‡ฒ Gambia: 406 ๐Ÿ‡ซ๐Ÿ‡ฎ Finland: 381 ๐Ÿ‡ณ๐Ÿ‡ด Norway: 374 ๐Ÿ‡ธ๐Ÿ‡พ Syria: 373 ๐Ÿ‡ง๐Ÿ‡ผ Botswana: 370 ๐Ÿ‡ฏ๐Ÿ‡ต Japan: 364 ๐Ÿ‡ต๐Ÿ‡ธ Palestine: 363 ๐Ÿ‡ฒ๐Ÿ‡ผ Malawi: 353 ๐Ÿ‡ญ๐Ÿ‡ท Croatia: 334 ๐Ÿ‡ฒ๐Ÿ‡น Malta: 310 ๐Ÿ‡ฑ๐Ÿ‡ง Lebanon: 285 ๐Ÿ‡ช๐Ÿ‡ท Eritrea: 262 ๐Ÿ‡ฑ๐Ÿ‡พ Libya: 258 ๐Ÿ‡จ๐Ÿ‡ฉ Democratic Republic of the Congo: 258 ๐Ÿ‡ฆ๐Ÿ‡ฑ Albania: 254 ๐Ÿ‡ท๐Ÿ‡บ Russia: 252 ๐Ÿ‡ฆ๐Ÿ‡ซ Afghanistan: 238 ๐Ÿ‡น๐Ÿ‡ฟ Tanzania: 226 ๐Ÿ‡ฐ๐Ÿ‡ท South Korea: 220 ๐Ÿ‡ฒ๐Ÿ‡ท Mauritania: 204 ๐Ÿ‡จ๐Ÿ‡ญ Switzerland: 200 ๐Ÿ‡ช๐Ÿ‡น Ethiopia: 200 ๐Ÿ‡ช๐Ÿ‡ช Estonia: 185 ๐Ÿ‡ธ๐Ÿ‡ฎ Slovenia: 180 ๐Ÿ‡ป๐Ÿ‡จ Saint Vincent and the Grenadines: 175 ๐Ÿ‡ฎ๐Ÿ‡ฉ Indonesia: 174 ๐Ÿ‡ฉ๐Ÿ‡ฟ Algeria: 174 ๐Ÿ‡ง๐Ÿ‡ญ Bahrain: 165 ๐Ÿ‡ง๐Ÿ‡ง Barbados: 163 ๐Ÿ‡ฑ๐Ÿ‡จ Saint Lucia: 152 ๐Ÿ‡จ๐Ÿ‡ด Colombia: 152 ๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico: 147 ๐Ÿ‡ฒ๐Ÿ‡ฆ Morocco: 145 ๐Ÿ‡ธ๐Ÿ‡ฆ Saudi Arabia: 144 ๐Ÿ‡จ๐Ÿ‡ซ Central African Republic: 136 ๐Ÿ‡ฌ๐Ÿ‡ฉ Grenada: 128 ๐Ÿ‡ฎ๐Ÿ‡ฑ Israel: 118 ๐Ÿ‡ฉ๐Ÿ‡ด Dominican Republic: 110 ๐Ÿ‡ณ๐Ÿ‡ฆ Namibia: 103 ๐Ÿ‡ธ๐Ÿ‡ฟ Eswatini: 103 ๐Ÿ‡น๐Ÿ‡ณ Tunisia: 102 ๐Ÿ‡ท๐Ÿ‡ธ Serbia: 92 ๐Ÿ‡ง๐Ÿ‡ณ Brunei: 92 ๐Ÿ‡น๐Ÿ‡ผ Taiwan: 91 ๐Ÿ‡จ๐Ÿ‡ฎ Cรดte d'Ivoire: 88 ๐Ÿ‡ป๐Ÿ‡ณ Vietnam: 81 ๐Ÿ‡พ๐Ÿ‡ช Yemen: 80 ๐Ÿ‡จ๐Ÿ‡ฑ Chile: 80 ๐Ÿ‡ฆ๐Ÿ‡ท Argentina: 75 ๐Ÿ‡ซ๐Ÿ‡ฏ Fiji: 66 ๐Ÿ‡ต๐Ÿ‡ช Peru: 66 ๐Ÿ‡ป๐Ÿ‡ช Venezuela: 66 ๐Ÿ‡ท๐Ÿ‡ผ Rwanda: 56 ๐Ÿ‡ฒ๐Ÿ‡ป Maldives: 50 ๐Ÿ‡ธ๐Ÿ‡ณ Senegal: 49 ๐Ÿ‡ฌ๐Ÿ‡ณ Guinea: 47 ๐Ÿ‡ง๐Ÿ‡น Bhutan: 47 ๐Ÿ‡ด๐Ÿ‡ฒ Oman: 45 ๐Ÿ‡ฆ๐Ÿ‡ด Angola: 42 ๐Ÿ‡ช๐Ÿ‡จ Ecuador: 42 ๐Ÿ‡ฑ๐Ÿ‡ท Liberia: 41 ๐Ÿ‡ง๐Ÿ‡พ Belarus: 40 ๐Ÿ‡ง๐Ÿ‡ฟ Belize: 40 ๐Ÿ‡ฐ๐Ÿ‡ผ Kuwait: 39 ๐Ÿ‡น๐Ÿ‡น Trinidad and Tobago: 38 ๐Ÿ‡ฒ๐Ÿ‡ฉ Moldova: 38 ๐Ÿ‡ฒ๐Ÿ‡ฐ North Macedonia: 35 ๐Ÿ‡ป๐Ÿ‡ฌ British Virgin Islands: 33 ๐Ÿ‡จ๐Ÿ‡บ Cuba: 32 ๐Ÿ‡ง๐Ÿ‡ด Bolivia: 30 ๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates: 30 ๐Ÿ‡ฆ๐Ÿ‡ฌ Antigua and Barbuda: 29 ๐Ÿ‡ฆ๐Ÿ‡ฟ Azerbaijan: 29 ๐Ÿ‡ง๐Ÿ‡ฎ Burundi: 28 ๐Ÿ‡ฑ๐Ÿ‡ธ Lesotho: 28 ๐Ÿ‡ฐ๐Ÿ‡พ Cayman Islands: 26 ๐Ÿ‡ฎ๐Ÿ‡ธ Iceland: 26 ๐Ÿ‡ฐ๐Ÿ‡ท Korea: 26 ๐Ÿ‡ฐ๐Ÿ‡ณ Saint Kitts and Nevis: 24 ๐Ÿ‡บ๐Ÿ‡ฟ Uzbekistan: 24 ๐Ÿ‡ธ๐Ÿ‡จ Seychelles: 24 ๐Ÿ‡ฐ๐Ÿ‡ฟ Kazakhstan: 24 ๐Ÿ‡ง๐Ÿ‡ธ Bahamas: 23 ๐Ÿ‡ฌ๐Ÿ‡ช Georgia: 22 ๐Ÿ‡ฎ๐Ÿ‡ฒ Isle of Man: 21 ๐Ÿ‡ง๐Ÿ‡ฆ Bosnia and Herzegovina: 20 ๐Ÿ‡ญ๐Ÿ‡ณ Honduras: 20 ๐Ÿ‡ฆ๐Ÿ‡ฒ Armenia: 19 ๐Ÿ‡ธ๐Ÿ‡ป El Salvador: 18 ๐Ÿ‡ฌ๐Ÿ‡ฆ Gabon: 16 ๐Ÿ‡น๐Ÿ‡ฌ Togo: 16 ๐Ÿ‡ง๐Ÿ‡ฏ Benin: 15 ๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg: 13 ๐Ÿ‡ฌ๐Ÿ‡ฎ Gibraltar: 13 ๐Ÿ‡ฒ๐Ÿ‡ฟ Mozambique: 13 ๐Ÿ‡ฌ๐Ÿ‡น Guatemala: 11 ๐Ÿ‡ฒ๐Ÿ‡ณ Mongolia: 9 ๐Ÿ‡ฉ๐Ÿ‡ฏ Djibouti: 9 ๐Ÿ‡จ๐Ÿ‡ป Cape Verde: 9 ๐Ÿ‡ฐ๐Ÿ‡ญ Cambodia: 9 ๐Ÿ‡ต๐Ÿ‡ฌ Papua New Guinea: 9 ๐Ÿ‡น๐Ÿ‡ฑ Timor-Leste: 9 Netherlands Antilles: 9 ๐Ÿ‡ฒ๐Ÿ‡ฌ Madagascar: 9 ๐Ÿ‡จ๐Ÿ‡ท Costa Rica: 8 ๐Ÿ‡บ๐Ÿ‡พ Uruguay: 8 ๐Ÿ‡ฐ๐Ÿ‡ต North Korea: 8 ๐Ÿ‡ต๐Ÿ‡พ Paraguay: 7 ๐Ÿ‡ถ๐Ÿ‡ฆ Qatar: 6 ๐Ÿ‡ง๐Ÿ‡ฒ Bermuda: 6 ๐Ÿ‡ต๐Ÿ‡ฆ Panama: 5 ๐Ÿ‡ฐ๐Ÿ‡ฌ Kyrgyzstan: 5 ๐Ÿ‡ฏ๐Ÿ‡ช Channel Islands: 5 ๐Ÿ‡ง๐Ÿ‡ซ Burkina Faso: 4 ๐Ÿ‡ณ๐Ÿ‡ฎ Nicaragua: 4 ๐Ÿ‡ธ๐Ÿ‡ธ South Sudan: 4 ๐Ÿ‡ฒ๐Ÿ‡ฑ Mali: 4 ๐Ÿ‡น๐Ÿ‡ฒ Turkmenistan: 4 ๐Ÿ‡ฌ๐Ÿ‡ผ Guinea-Bissau: 4 ๐Ÿ‡ซ๐Ÿ‡ด Faroe Islands: 3 ๐Ÿ‡ณ๐Ÿ‡ซ Norfolk Island: 3 ๐Ÿ‡น๐Ÿ‡ฏ Tajikistan: 3 ๐Ÿ‡ท๐Ÿ‡ช Rรฉunion: 3 ๐Ÿ‡ฒ๐Ÿ‡ธ Montserrat: 2 ๐Ÿ‡ฌ๐Ÿ‡ถ Equatorial Guinea: 2 ๐Ÿ‡ซ๐Ÿ‡ฐ Falkland Islands: 2 ๐Ÿ‡ฌ๐Ÿ‡ซ French Guiana: 2 ๐Ÿ‡ญ๐Ÿ‡น Haiti: 2 ๐Ÿ‡ฒ๐Ÿ‡ช Montenegro: 2 ๐Ÿ‡ต๐Ÿ‡ท Puerto Rico: 2 ๐Ÿ‡ธ๐Ÿ‡ญ Saint Helena: 2 ๐Ÿ‡น๐Ÿ‡ป Tuvalu: 2 ๐Ÿ‡ฑ๐Ÿ‡ฆ Laos: 2 ๐Ÿ‡ฆ๐Ÿ‡ฉ Andorra: 2 ๐Ÿ‡ฆ๐Ÿ‡ผ Aruba: 2 ๐Ÿ‡ธ๐Ÿ‡น Sรฃo Tomรฉ and Prรญncipe: 2 ๐Ÿ‡ฌ๐Ÿ‡บ Guam: 1 ๐Ÿ‡ฆ๐Ÿ‡ฎ Anguilla: 1 ๐Ÿ‡จ๐Ÿ‡จ Cocos (Keeling) Islands: 1 ๐Ÿ‡ฌ๐Ÿ‡ฑ Greenland: 1 ๐Ÿ‡ฌ๐Ÿ‡ต Guadeloupe: 1 ๐Ÿ‡ฒ๐Ÿ‡ด Macau: 1 ๐Ÿ‡ฒ๐Ÿ‡ญ Marshall Islands: 1 ๐Ÿ‡ซ๐Ÿ‡ฒ Micronesia: 1 ๐Ÿ‡ณ๐Ÿ‡จ New Caledonia: 1 ๐Ÿ‡ณ๐Ÿ‡บ Niue: 1 ๐Ÿ‡ป๐Ÿ‡บ Vanuatu: 1 ๐Ÿ‡ธ๐Ÿ‡ง Solomon Islands: 1 ๐Ÿ‡ธ๐Ÿ‡ท Suriname: 1 ๐Ÿ‡น๐Ÿ‡ด Tonga: 1 ๐Ÿ‡ป๐Ÿ‡ฎ U.S. Virgin Islands: 1 ๐Ÿ‡ต๐Ÿ‡ณ Pitcairn Islands: 1 ๐Ÿ‡น๐Ÿ‡ฉ Chad: 1 ๐Ÿ‡ผ๐Ÿ‡ธ Samoa: 1

    3.1K731255154974K viewsView on X
  • Jul 29, 2026

    The lack of available NHS dentists in this country should be a national scandal.

    2.9K5291022471K viewsView on X
  • Jul 29, 2026

    We FINALLY have a Prime Minister who is taking social care seriously. * The social care review will be brought forward to summer 2027 * The care workforce will be reformed * There will be a cross-party approach to social care Letโ€™s hope he delivers. https://t.co/fFb0GDPkvb

    1.7K25038834111K viewsView on X
  • Aug 1, 2026

    Should NHS staff be able to park for free at their place of work? Please repost to help increase the number of people who respond. Please explain your answer in the comments.

    3115131571451K viewsView on X
  • Jul 23, 2026

    The NHS is definitely not perfect. But it will never make you bankrupt. https://t.co/m1kPzDW6Zl

    53522212825K viewsView on X
  • Jul 24, 2026

    We wish we could eradicate โ€˜just aโ€™ from NHS vocabulary. Every single person plays their part, and it couldnโ€™t happen without everyone. https://t.co/n3gHoL94Az

    5638314033K 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 3.0K interactions against 729K followers, an engagement rate of 0.406%. Measured over 8 original posts, its engagement rate beats 89% of 6,874 tracked accounts of a similar size. Comparing inside a size band matters here: engagement rate falls as accounts grow, so a raw rate would mostly just re-measure the follower count. Posts are seen about 91K times each, and 3.26% of those impressions turn into an interaction. That is about 12.5% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 11:00 UTC, and Wednesday is the busiest day of the week. Of the 8 posts sampled, 25% carry an image or video and 13% are part of a thread. The account's strongest tracked post pulled 34K interactions, about 12x its own typical post.

What is NHS Million's engagement rate on X?
NHS Million (@NHSMillion) has an engagement rate of 0.406%, based on the median interactions across 8 original posts from the last 30 days against 729,251 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.406%, NHS Million sits above the 50th percentile of the 66,536 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 @NHSMillion have real engagement?
Its engagement rate beats 89% of the tracked X accounts closest to it in follower count (6,874 accounts), which puts it in the top quarter 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 @NHSMillion post?
Most posts go out around 11:00 UTC, and Wednesday is its busiest day, at roughly 0.83 posts per day across the measured window.

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