Australian Bureau of Statistics

Australian Bureau of Statistics

@ABSStats

Informing Australia's important decisions. About us: http://www.abs.gov.au/about. Our social media guidelines: http://www.abs.gov.au/websitedbs/d3310114.nsf/4a256353001af3ed4b2562bb00121564/4ba6bccc0162c8a2ca25770d002387a3!OpenDocument

Australia https://abs.gov.au/ Joined 2010-07-29 Date of Analysis: Dec 16, 2025

85,701

Followers

625

Following

9,608

Tweets

604

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @ABSStats'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: Mid-Tier (10K+)
  • Account Age:2010-07-29
  • Verification:No
  • Location:Australia

Data Summary

  • Followers Analyzed:10,000

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Audience Demographics

Based on 10,000 followers

The primary audience is likely Australian citizens, policymakers, and professionals interested in statistical data. The account may also target media outlets and researchers.

Average

Audience Quality

23.0%

Suspicion Index

28.0%

Low-Quality %

47

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

37.0%

Empty Bio

26.5%

<10 Tweets

12.6%

Mass Following (>2K)

0.0%

New (<90 days)

46.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

80.2%

No URL

18.9%

<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.

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Follower Reach & Influence

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

8,062,821

Total Potential Reach

47

Median Follower Reach

237

75th Percentile Reach

9.8%

>1K followers

1.0%

>10K followers

0.2%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

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

55.1%

Creators

5,514 accounts

18.3%

Consumers

1,833 accounts

26.5%

Dormant

2,653 accounts

97

Verified Followers

0.97% of total

12.9%

Professional Bios

founder, dev, analyst, etc.

0.12

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):

Australia (626) Melbourne, Victoria (506) Sydney, New South Wales (465) Sydney (190) Sydney, Australia (186) Melbourne, Australia (154) Brisbane, Queensland (147) Melbourne (133) Perth, Western Australia (118) Adelaide, South Australia (106)

97

Verified Followers

0.97% of total

1,215

Protected Accounts

12.15% of total

7 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
@ugurses 543,357 Economist Ekonomi, yazar, analist
@LiveSquawk 271,740 Financial News Financial markets, news, audio squawk
@Imranuqa 268,194 Activist Social change, Educated Pakistan, Love for Qamar Zaman Kaira
@ibgecomunica 192,675 Statistics Geografia, Estatística, Brasil
@mjrowland68 155,234 Journalist News, Western Bulldogs, Breakfast TV
@kochie_online 149,342 TV Host Family, Port Adelaide, Finance
@sallymcmanus 128,457 Union Leader Trade unions, workers' rights, activism
@CSIRO 122,001 Research Scientist science, technology, innovation
@Greens 118,464 Politician ecological sustainability, grassroots democracy, social justice
@simonahac 116,714 Energy Analyst energy transition, data, climate

Top Keywords in Follower Bios

views (373) health (282) australia (245) research (219) life (205) data (203) phd (197) love (194) australian (188) social (176)

Top Hashtags in Follower Bios

#auspol (14) #rstats (13) #1 (11) #voteyes (11) #australia (8) #mentalhealth (7) #math530 (7) #bitcoin (6) #humanrights (6) #tech (5)

6,299

Followers With Bio

3,701

Followers Without Bio

62.99%

% With Bio

37.01%

% 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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Key Insights & Takeaways

The account may prioritize information dissemination over interaction It likely operates as a public-facing platform for statistical reporting The lack of engagement could suggest a need for more interactive content or outreach strategies

Strengths

  • + Established follower base of 85,701
  • + 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 @ABSStats reveals an growing Twitter presence with 85,701 followers. The account demonstrates a content-creator strategy, averaging 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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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