North Yorkshire Police
North Yorkshire Police on Twitter. Do not use Twitter to report crime. ☎ 101, or 999 in an emergency. Report online at: https://www.northyorkshire.police.uk/
118.249
Followers
538
Following
40.510
Tweets
40,6
Avg Engagement
814
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NYorksPolice'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:2009-07-27
- Verification:Yes
- Location:North Yorkshire
Data Summary
- Tweets Analyzed:3.209
- Avg Likes per Tweet:30,8
- Avg Retweets per Tweet:9,8
- Followers Analyzed:10.000
Engagement Analysis
Based on 3.209 tweetsThe account receives a moderate level of engagement, with an average of 4,704 likes and 726 retweets per tweet. This suggests a consistent but not highly interactive audience.
30,8
Avg Likes/Tweet
9,8
Avg Retweets/Tweet
98.891
Total Likes
31.319
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
2
Median Retweets
23
75th Percentile
32.442
Top Tweet
0,34
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
59,4%
Original
31,3%
Replies
3,6%
Retweets
5,6%
Quotes
0,0%
Threads
0,7%
With Media
47,6%
With Links
37,3%
With #Tags
19,4%
With @Mentions
45,6%
With Emojis
225
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0,53
Reply/Original Ratio
1,56
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
86,5%
Weekday Posts
13,5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3.209 tweetsContent Type Distribution
Content Breakdown
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 116 retweets (4% 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 3.209 tweetsEngagement 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 10.000 followersThe primary audience includes residents of North Yorkshire and individuals interested in local law enforcement activities. The account also reaches out to the general public for safety and crime reporting guidance.
Average
Audience Quality
34,4%
Suspicion Index
54,7%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
62,3%
Empty Bio
56,7%
<10 Tweets
6,0%
Mass Following (>2K)
0,0%
New (<90 days)
58,6%
Low Ratio (<0.1)
0,0%
New (<180 days)
92,0%
No URL
47,1%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
16.951.702
Total Potential Reach
4
Median Follower Reach
46
75th Percentile Reach
3,4%
>1K followers
0,3%
>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).
27,2%
Creators
2.725 accounts
16,1%
Consumers
1.607 accounts
56,7%
Dormant
5.668 accounts
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):
37
Verified Followers
0.37% of total
906
Protected Accounts
9.06% of total
4 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 | 14.093.657 | Wrestler | Wrestling, Motivation, Self-promotion |
| @paul_steele | 645.649 | Travel Blogger | Travel, hiking, photography |
| @Yorkshire2018 | 100.667 | Yorkshire Enthusiast | Leeds, Yorkshire, God's Own Country |
| @jameslhbartlett | 76.806 | Entrepreneur | Business, Innovation, Life-long Learning |
| @Marilyn_Res | 64.813 | Writer | Music, Soul, Singing |
| @The90sNation | 64.018 | Nostalgia | 90s, Cali, nostalgia |
| @RadioHumberside | 57.402 | Radio Station | News, Music, Local Events |
| @ScarboroughWeb | 35.687 | - | - |
| @SallysRaveCave | 33.186 | - | - |
| @Aja02537920 | 32.123 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
3.770
Followers With Bio
6.230
Followers Without Bio
37.7%
% With Bio
62.3%
% 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.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3.209 analyzed52.924
Combined Engagement
37.933
Total Likes
14.991
Total Retweets
10.585
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
20%
With Links
Topical Analysis:
When a call 'to order pizza' becomes an urgent plea for help...📞 We received a 999 call – but when it was answered, the woman on the line said she would like to order a pizza. Our call handler immediately asked the woman if she was in trouble, to which she confirmed “yes”.
RT @RoyalFamily: For the latest guidance on Mourning and how to sign our online book of condolence, please visit our website:
We managed to locate the bus using an online tracker, and bring it to a stop. A 40-year-old man from Leeds was arrested in connection with the incident. He remains in custody at this time. Keep reading this thread for what to do if you need help... https://t.co/mv2m1BXWcC http
With the woman only able to answer “yes” and “no” to questions, we established she was on a bus in North Yorkshire, and was at risk of harm from a man who was with her. While keeping the phone line open, the call handler was also able to text her for more information.
The police call handler will attempt to communicate with you by asking simple yes or no questions. If you are not able to speak, listen carefully to the questions and instructions from the call handler so we can assess your call and arrange help if needed.
Key Insights & Takeaways
The account uses real-life incidents to build trust and demonstrate police effectiveness. It emphasizes public safety and emergency response, which aligns with its primary role. The content is often urgent and informative, encouraging public awareness and cooperation.
Strengths
- + Established follower base of 118.249
- + 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 @NYorksPolice reveals an growing Twitter presence with 118.249 followers. The account demonstrates a content-creator strategy, averaging 40,6 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.
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