article · Certification difficulty & pass rates

CCNA Pass Rate: What Cisco Publishes

Cisco does not publish a CCNA pass rate. Use official exam facts, pass-rate ledger context, network role evidence, AI impact, and a study plan instead.

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Researched by RoleMath Research. Every figure on this page traces to the official source shown next to it.

CCNA pass rate: what Cisco publishes and what to use instead

By the RoleMath Editorial Team · Last updated 2026-07-05. Every figure traces to a cited source; we sell none of the options discussed.

Cisco does not publish a public CCNA pass rate in the reviewed official page text. That means RoleMath will not estimate one, average third-party guesses, or treat a training provider's number as the exam's candidate pass rate. The official page gives useful facts instead: the 200-301 CCNA exam identity, 120-minute duration, English and Japanese languages, 300 USD price or Cisco Learning Credits, topic scope, and official prep options. For a real decision, those facts are more useful than an unsupported percentage. Use the official topics, the role tasks, employer-language evidence, AI-impact caveats, and a lab-based study plan. No certification guarantees a job, salary, or interview.

Key takeaways

  • Cisco's reviewed official CCNA page does not publish a public candidate pass-rate percentage.
  • Cisco does publish useful planning facts: 200-301 CCNA v1.1, 120 minutes, English and Japanese, 300 USD price, topic scope, and official prep options.
  • RoleMath's pass-rate ledger treats the official Cisco row as high confidence and the third-party folklore cluster as low confidence and not safe to quote publicly.
  • Use official exam facts, O*NET role tasks, BLS occupation context, employer vocabulary, and lab evidence instead of unsupported pass-rate numbers.
  • Employer-language samples can guide what to practice, but they are not market share, demand, salary, or ROI evidence.
  • AI can help with CCNA study and troubleshooting review, but the candidate still has to verify commands, topology behavior, and conclusions in a lab.

The short answer

There is no source-backed public CCNA pass rate to plan around. Cisco's reviewed page tells you what the exam is, how long it is, what it costs, which languages it supports, and what domains it covers. It does not tell you what share of candidates pass.

So the safe public answer is: the CCNA pass rate is not published by Cisco. Any specific percentage should be treated as unsupported unless Cisco publishes it with a clear denominator, date range, candidate population, and attempt type.

That does not make the page useless. It means the decision should move from 'what percentage pass?' to 'what official facts and role evidence tell me how to prepare?' For CCNA, the answer is a hands-on networking plan built around routing, switching, IP connectivity, security fundamentals, troubleshooting, and automation basics.

Official exam facts

Official CCNA factWhat Cisco publishesHow RoleMath uses it
Exam200-301 CCNA, Implementing and Administering Cisco Solutions v1.1Confirms the active exam identity.
Duration120 minutesPlanning input for practice-test pacing.
Price300 USD, or Cisco Learning CreditsBudget input, not outcome evidence.
LanguagesEnglish and JapaneseAccessibility and scheduling context.
Topic scopeNetwork fundamentals, network access, IP connectivity, IP services, security fundamentals, automation and programmabilityStudy-domain structure.
Prep optionsCisco U learning path, instructor-led training, practice exams, Cisco Modeling Labs, exam logistics, certification communityPreparation options, not pass guarantees.
Public candidate pass rateNot found in reviewed official page textDo not publish a percentage.

This is enough to make a better plan than a fake rate. The exam domains tell you what to lab. The duration tells you how to pace. The price tells you the downside of scheduling too early. The official prep options tell you where Cisco wants candidates to start.

Pass-rate claim ledger

Ledger rowConfidencePublic treatment
Official Cisco CCNA exam pageHighCite official exam facts and say no public pass-rate percentage was found in reviewed text.
Third-party exam-prep clusterLowKeep as an internal review queue item. Do not quote or reuse as a CCNA pass-rate fact.

That distinction matters. A third-party page can be useful as a warning that unsupported percentages exist, but it should not become RoleMath's number. If the exact source text has not been freshly checked and the publisher is not Cisco, it does not belong in the public answer as a rate.

The public page should be boring in the right way: official facts in one column, unsupported folklore in another, and a clear instruction not to plan around the folklore.

Why unsupported pass-rate folklore is weak evidence

A candidate pass rate needs a denominator. Are we talking about all global attempts, first attempts, retakes, one training provider's students, people who completed a paid bootcamp, or people who self-reported online? Without that denominator, the number is not interpretable.

A useful pass-rate source would also state the time window, exam version, population, attempt type, and data owner. CCNA has changed over time, and a number attached to the wrong version would be misleading even if it came from a real dataset.

That is why RoleMath is not printing the low-confidence third-party cluster as a list of percentages here. Quoting shaky numbers can make them look more authoritative. The safer answer is to say that Cisco's reviewed official page does not publish the public candidate pass rate, then show what evidence a learner can actually use.

What to use instead

Use four evidence layers instead of a pass-rate percentage.

Evidence layerWhat it answersWhat it cannot answer
Cisco official factsWhat the exam covers, how long it is, what it costs, and which prep options Cisco listsYour personal odds of passing
O*NET tasksWhat network-administrator work looks like beyond the examWhether CCNA alone will get you hired
BLS occupation contextPay and outlook context for the mapped occupation familyCCNA salary, ROI, or placement
Employer-language sampleThe vocabulary appearing in RoleMath's public posting pilotRepresentative demand or market share

This combination is more useful than a made-up rate. It tells you what to study, why the skill matters, how the role is framed, and which claims remain off limits.

Role and labor context

RoleMath maps CCNA most directly to network-administrator and network-engineering preparation signals, with strict guardrails. The mapped O*NET task context for Network and Computer Systems Administrators includes administering network environments, backups and disaster recovery, troubleshooting network and system problems, monitoring system performance, planning network security measures, and analyzing equipment performance records.

The BLS occupation context is not a CCNA outcome claim. RoleMath's current mapped packet uses BLS OEWS May 2025 national context for Network and Computer Systems Administrators, including 314,340 employment and a 99,130 USD national median annual wage. BLS Employment Projections context in the same packet shows -4.2% projected employment change for 2024-2034 with 14.3 thousand annual openings.

That mix matters for planning. A negative projected employment-change figure does not mean nobody hires network administrators, and annual openings do not mean CCNA guarantees access to those openings. It means the learner should pair CCNA study with concrete troubleshooting, security, cloud, automation, and documentation evidence.

Employer-language snapshot

RoleMath's network-administrator employer-language packet is a public-posting pilot, not a representative market study. The current packet has 99 matched postings, 32 employers, and 69 public-ready examples. In that sample, certification mentions included CCNA 43, Security+ 21, Network+ 11, and CySA+ 3. Skill and content language included Cisco 62, BGP 60, troubleshooting 53, OSPF 47, network security 36, DNS 34, TCP/IP 33, Python 30, firewall 29, VPN 26, and routing and switching 21.

Use this as vocabulary, not demand. It does not mean CCNA appears in a fixed percentage of the market, and it does not prove certification ROI. It does show what a learner should practice if CCNA is part of a networking plan: routing, switching, Cisco CLI, troubleshooting, DNS, TCP/IP, VPNs, firewalls, BGP, OSPF, and enough Python or automation awareness to understand where the role is moving.

This is also why a pass-rate page should not stop at exam trivia. The reader is trying to decide how to become credible. Employer language gives the study plan sharper edges.

AI-impact context

AI does not create a CCNA pass rate. It changes how candidates should prepare and how network work may be performed. RoleMath's network-administrator AI panel uses Anthropic Economic Index context and reports the shared SOC sample as 31.90% augmentation-labeled and 68.10% automation-labeled Claude conversations for May 2026. That is descriptive usage data, not a job-loss forecast or a demand forecast.

For CCNA prep, AI can explain a routing concept, generate practice questions, critique a subnetting explanation, or help draft a troubleshooting checklist. It can also hallucinate commands, oversimplify network behavior, or skip change-control risk. The useful candidate can show how they verified AI output in a lab.

The AI-aware CCNA project is simple: document a lab topology, break it, troubleshoot it, ask AI for a second diagnostic path, compare the answer against packet captures or CLI output, and write which recommendation you accepted or rejected. That proves judgment, not just tool use.

Study path steps

StepWhat to doEvidence to keep
1Read Cisco's official topic scope and split it into weekly domainsA checklist mapped to network fundamentals, access, IP connectivity, IP services, security, and automation
2Build or use a lab environment before memorizing answersTopology screenshots, configs, and notes on failures
3Practice troubleshooting, not just definitionsBefore-and-after CLI output, packet notes, and root-cause writeups
4Use AI as a reviewer, not an authorityA note showing what AI suggested, what you verified, and what you rejected
5Compare local postings to your study planA vocabulary list from target roles, clearly labeled as local research rather than market demand
6Schedule only when the lab work is boringly repeatablePractice-test timing, missed-domain log, and retake-budget decision

This plan is more actionable than a pass rate. It lets a learner control the inputs they can control: coverage, repetition, lab fluency, troubleshooting evidence, and budget timing.

Honest bottom line

Do not trust a CCNA pass-rate percentage unless Cisco publishes it and defines the measurement. The reviewed official page does not publish one, so RoleMath does not either.

Use the evidence Cisco does publish: exam identity, duration, price, languages, topic scope, and official prep options. Then connect that to the role evidence: network administration tasks, employer vocabulary, BLS occupation context, and AI-aware troubleshooting practice.

CCNA can be a strong networking signal when paired with hands-on labs and target-role evidence. It is not a salary claim, job guarantee, placement statistic, or personal pass probability. A learner who understands that distinction is already making a better decision than someone chasing a fake percentage.

Frequently asked questions

What is the CCNA pass rate?

Cisco does not publish a public CCNA pass rate in the reviewed official page text. RoleMath does not estimate one or reuse third-party percentages as if they were official.

Does Cisco publish the CCNA passing score?

The reviewed Cisco CCNA page publishes exam identity, duration, price, languages, topic scope, and prep options. It does not publish a public candidate pass-rate percentage in the reviewed text.

Can I use online CCNA pass-rate percentages for planning?

Treat them as unsupported unless Cisco publishes the percentage with a clear denominator, time window, candidate population, and attempt type. A confident-looking percentage from a prep page is not official evidence.

What should I use instead of the CCNA pass rate?

Use Cisco's official exam facts, a lab-based study plan, O*NET task context, BLS occupation context, and local employer language. Those inputs are sourceable and more useful than an unsupported pass-rate figure.

Does CCNA guarantee a networking job?

No. CCNA can be a useful networking signal, but it does not guarantee a job, salary, interview, or placement. Pair it with labs, troubleshooting evidence, and target-role research.

How does AI change CCNA preparation?

AI can explain concepts, generate practice questions, and review troubleshooting notes, but it can also invent commands or skip context. Use AI as a reviewer and verify every recommendation in a lab.

Related, with the cited detail

Sources

Figures in this article are cited to the sources named in the Citation Ledger below and on each linked cited page.

Citation Ledger

IDSupportsEvidenceSource
CIT-01Cisco's reviewed official CCNA page publishes exam identity, duration, price, languages, topic scope, and prep options, but no public candidate pass-rate percentage.Cisco's 200-301 CCNA page identifies the exam as Implementing and Administering Cisco Solutions v1.1, lists a 120-minute duration, English and Japanese, 300 USD price or Cisco Learning Credits, and topic scope across network fundamentals, network access, IP connectivity, IP services, security fundamentals, and automation and programmability.https://www.cisco.com/site/us/en/learn/training-certifications/exams/ccna.html
CIT-02Cisco offers official prep options, but those are not pass-rate evidence.Cisco's CCNA page links to Cisco U learning path, instructor-led training, practice exams, Cisco Modeling Labs, exam logistics, and certification community resources. RoleMath treats those as preparation options, not outcome guarantees.https://www.cisco.com/site/us/en/learn/training-certifications/exams/ccna.html
CIT-03RoleMath's pass-rate ledger supports a no-public-rate framing for CCNA.The official ledger row for CCNA was refreshed on 2026-07-05 and records official_no_public_rate_on_reviewed_page; the low-confidence third-party cluster remains a review queue item and is not quoted as public evidence.https://www.cisco.com/site/us/en/learn/training-certifications/exams/ccna.html
CIT-04Network-administrator task context should come from O*NET, not from pass-rate folklore.O*NET's Network and Computer Systems Administrators profile supports task context around administering networks, backups and disaster recovery, troubleshooting, monitoring systems, network security measures, and network performance.https://www.onetonline.org/link/summary/15-1244.00
CIT-05RoleMath uses O*NET database downloads as the official task, skill, and technology source family for role evidence.O*NET database downloads are the underlying source for RoleMath's occupation task and tool extraction; RoleMath cites profile pages for reader verification and the database for bulk evidence.https://www.onetcenter.org/database.html
CIT-06Occupation pay context for network administrator work must not be treated as a CCNA salary outcome.RoleMath's mapped Network and Computer Systems Administrators packet uses BLS OEWS May 2025 national context, including 314,340 employment and a 99,130 USD national median annual wage, as occupation context only.https://www.bls.gov/oes/special-requests/oesm25nat.zip
CIT-07Occupation outlook context is not live posting demand and not a certification outcome.BLS Employment Projections for Network and Computer Systems Administrators show -4.2% projected employment change for 2024-2034 and 14.3 thousand annual openings in RoleMath's current packet; RoleMath uses this as occupation context only.https://www.bls.gov/emp/ind-occ-matrix/occupation.xlsx
CIT-08Employer-language samples can show terms such as CCNA, Cisco, BGP, OSPF, DNS, TCP/IP, firewall, VPN, and Python without becoming market-share or demand claims.RoleMath's network-administrator employer-language pilot is sourced from public posting surfaces. It is qualitative and not representative demand, market size, salary, placement, or certification ROI evidence.https://developers.greenhouse.io/job-board; https://developers.ashbyhq.com/docs/public-job-posting-api; https://hire.lever.co/developer/documentation#postings
CIT-09AI usage data for network administrator work is descriptive workflow context, not a job-loss or demand forecast.Anthropic's June 2026 Economic Index provides descriptive Claude usage context. RoleMath's network-administrator AI panel reports 31.90% augmentation-labeled and 68.10% automation-labeled conversations for the shared SOC sample.https://www.anthropic.com/research/economic-index-june-2026-report
CIT-10LLM exposure should be framed as task overlap, not employment outcome.Eloundou et al. estimate broad LLM task exposure across U.S. workers and explicitly frame exposure as task-capability overlap rather than a forecast of adoption timing, job loss, or individual career risk.https://www.science.org/doi/10.1126/science.adj0998

Evidence behind this article

RoleMath turns this article into a small decision report: official credential facts, occupation context, sampled employer wording, and AI workflow evidence. Sampled postings are language evidence, not market share, salary, placement, or a hiring forecast.

Mapped roles: Network Administrator, Field Network Technician, Network Security Engineer, Help Desk Technician

Current employer language

  • In RoleMath's public ATS sample captured 2026-06-20, Network Administrator matched 99 heuristic postings, including 69 title/public-ready postings. Common sampled language included Cisco, BGP, Troubleshooting, OSPF, CCNP; certification mentions included CCNA, Security+, Network+; AI-language mentions included no reviewed AI-specific terms cleared the current panel. This is qualitative employer language, not representative market demand.
  • In RoleMath's public ATS sample captured 2026-06-20, Field Network Technician matched 47 heuristic postings, including 46 title/public-ready postings. Common sampled language included Troubleshooting, Python, Excel, Linux, JavaScript; certification mentions included CCNA, Network+, Server+; AI-language mentions included no reviewed AI-specific terms cleared the current panel. This is qualitative employer language, not representative market demand.
  • In RoleMath's public ATS sample captured 2026-06-20, Network Security Engineer matched 31 heuristic postings, including 22 title/public-ready postings. Common sampled language included Network security, Cybersecurity, Palo Alto, Cisco, firewall; certification mentions included Security+, CCNA, CySA+; AI-language mentions included no reviewed AI-specific terms cleared the current panel. This is qualitative employer language, not representative market demand.

Previous-year demand: blocked until comparable repeat snapshots exist. Prediction: review-only; no public forecast is approved from this sample. Sources: Ashby Job Postings API, Greenhouse Job Board API, Lever Postings API, Teamtailor Jobs JSON Feed, Workday CXS Jobs API

AI impact context

  • Network Administrator: 31.90% augmentation-labeled and 68.10% automation-labeled Claude usage context. Sampled AI-language terms include LLM, OpenAI, machine learning. Descriptive Claude usage data, not employment demand, not job loss, and not a personal forecast; CC-BY attribution required.
  • Field Network Technician: 69.61% augmentation-labeled and 30.39% automation-labeled Claude usage context. Sampled AI-language terms include Anthropic, LLM, OpenAI, machine learning. Descriptive Claude usage data, not employment demand, not job loss, and not a personal forecast; CC-BY attribution required.
  • Network Security Engineer: 36.25% augmentation-labeled and 63.75% automation-labeled Claude usage context. Descriptive Claude usage data, not employment demand, not job loss, and not a personal forecast; CC-BY attribution required.

Sources: Anthropic Economic Index report: Cadences (release 2026-06-26), Canaries in the Coal Mine - recent employment effects of AI (working paper), Felten Raj and Seamans - AI Occupational Exposure (AIOE) index, GPTs are GPTs: An early look at the labor market impact potential of LLMs (Science 2024), OECD Employment Outlook 2023 - Artificial Intelligence and the Labour Market

Credential claim guardrails

Credential matches in this packet: Cisco Cisco Certified Network Associate.

  • Use as evidence that RoleMath can discuss official CCNA exam facts but should not publish a CCNA pass-rate percentage.
  • Use only as an internal research queue item; do not quote until exact source text is rechecked.

No certification shown here is treated as salary, job, ROI, or pass-rate proof. Sources: Cisco official credential page, Cisco 200-301 CCNA exam page, Exam-prep cluster

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