NHS England

NHS England

@NHSEngland

We lead and support the NHS in England to deliver improved care for patients.

England https://www.england.nhs.uk/ Joined 2012-04-11 Date of Analysis: Dec 16, 2025

529,416

Followers

2,449

Following

50,953

Tweets

308.7

Avg Engagement

2,457

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @NHSEngland's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Macro Influencer (100K+)
  • Account Age:2012-04-11
  • Verification:Yes
  • Location:England

Data Summary

  • Tweets Analyzed:3,243
  • Avg Likes per Tweet:49.5
  • Avg Retweets per Tweet:259.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,243 tweets

The account consistently receives high average likes and retweets, indicating strong public interest and trust. The engagement is driven by both official announcements and personal, emotional narratives.

49.5

Avg Likes/Tweet

259.2

Avg Retweets/Tweet

160,517

Total Likes

840,481

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

22

Median Likes

22

Median Retweets

93

75th Percentile

677,880

Top Tweet

0.58

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Broadcaster

Primarily shares original content

71.7%

Original

5.9%

Replies

21.5%

Retweets

0.8%

Quotes

0.0%

Threads

0.1%

With Media

78.2%

With Links

36.8%

With #Tags

40.4%

With @Mentions

28.3%

With Emojis

232

Avg Length

Audience Reaction Profile

Broadcast

Focuses on original content over replies

0.08

Reply/Original Ratio

0.04

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

77.3%

Weekday Posts

22.7%

Weekend Posts

Top Hashtags

#helpushelpyou (272) #wearethenhs (76) #nhscovidvaccine (70) #getboostednow (67) #ambulance (48) #giveblood (36) #thankyounhs (36) #covidvaccine (35) #menwearewithyou (31) #covid19 (31)

Most Mentioned

@amandapritchard (100) @nhsuk (62) @cnoengland (44) @nhsengland (40) @dhscgovuk (38) @prostateuk (34) @nhsenglandldn (33) @nwambulance (32) @nhsnw (30) @nhsenglandnmd (27)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,243 tweets

Content Type Distribution

Content Breakdown

Original Tweets 2,326 (72%)
Replies 192 (6%)
Retweets 698 (22%)
Quote Tweets 27 (1%)

What This Reveals About Their Strategy

This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.

The 698 retweets (22% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 3,243 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 50,000 followers

The primary audience includes patients, healthcare professionals, and the general public interested in NHS operations and health policies. The content also resonates with those seeking real-life stories from frontline workers.

Average

Audience Quality

27.2%

Suspicion Index

37.7%

Low-Quality %

16

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

43.7%

Empty Bio

42.8%

<10 Tweets

6.9%

Mass Following (>2K)

0.0%

New (<90 days)

49.6%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.2%

No URL

31.7%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

Try Bot Detector

Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

19,815,853

Total Potential Reach

16

Median Follower Reach

98

75th Percentile Reach

4.0%

>1K followers

0.4%

>10K followers

0.1%

>50K followers

0.0%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

33.3%

Creators

16,673 accounts

23.8%

Consumers

11,909 accounts

42.8%

Dormant

21,418 accounts

315

Verified Followers

0.63% of total

8.8%

Professional Bios

founder, dev, analyst, etc.

0.1

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

London, England (1,668) United Kingdom (1,044) England, United Kingdom (852) London (632) UK (334) Manchester, England (327) North West, England (204) Nigeria (175) South East, England (165) Leeds, England (159)

656

Verified Followers

0.65% of total

10,061

Protected Accounts

9.96% of total

5 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@JohnCena 14,105,201 Wrestler Wrestling, Motivation, Self-promotion
@MayorofLondon 3,217,281 Politician Politics, Family, London
@chris_kammy 1,899,010 Football pundit Football, TV, Singing
@LoukgolfLG 1,044,709 Student English, Travel, Education
@xBrooklynBluex 929,757 Pornstar Porn, TV, XFactor
@DrJoeAbah 695,685 Policy Expert Governance, Institutional Reform, Public Policy
@BobbyCNorris 661,652 Presenter Reality TV, Fashion, Radio
@garettnelson 650,640 Entrepreneur Travel, Investing, Adventure
@msaludpy 605,016 Government Official Health, Public, Paraguay
@askomartin 594,571 Broadcaster Sports, Broadcasting, Marketing

Top Keywords in Follower Bios

health (5,599) views (5,189) nurse (3,793) nhs (3,397) student (2,997) love (2,620) life (2,330) mum (2,071) clinical (1,933) mental (1,799)

Top Hashtags in Follower Bios

#nhs (207) #mentalhealth (128) #fbpe (71) #punc21 (70) #blm (53) #health (52) #gtto (51) #healthcare (51) #actuallyautistic (47) #medtwitter (45)

59,647

Followers With Bio

41,352

Followers Without Bio

59.06%

% With Bio

40.94%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,243 analyzed

713,637

Combined Engagement

8,585

Total Likes

705,052

Total Retweets

142,727

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

80%

With @Mentions

40%

With Links

Topical Analysis:

Public Health Nhs Leadership Frontline Healthcare Workers Patient Care Vaccination Campaigns Emotional Storytelling

Key Insights & Takeaways

The account emphasizes leadership changes and public health campaigns, which are key for maintaining public trust and transparency. Personal stories from frontline staff humanize the NHS and foster emotional connections with the audience. High engagement suggests that both informative and emotionally compelling content are effective in reaching the target audience.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 529,416
  • + Strong original content creation
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @NHSEngland reveals an well-established Twitter presence with 529,416 followers. The account demonstrates a content-creator strategy, averaging 308.7 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025