Overview
JavaScript leads secondary barriers across Papua New Guinea sites
| Value | |
|---|---|
| WAF | 92.2% |
| Antibot | 20.9% |
| CAPTCHA | 24.6% |
| JavaScript | 38.3% |
| Rate Limiting | 12.3% |
| TLS | 17.8% |
WAF reaches 92.2%. JavaScript is the top secondary barrier at 38.3%. CAPTCHA follows at 24.6%, ahead of Antibot at 20.9%. TLS reaches 17.8% and Rate Limiting 12.3%.
Barrier Landscape
JavaScript leads secondary barriers in Papua New Guinea
| Value | |
|---|---|
| WAF | 92.2% |
| Antibot | 20.9% |
| CAPTCHA | 24.6% |
| JavaScript | 38.3% |
| Rate Limiting | 12.3% |
| TLS | 17.8% |
| Has robots.txt | 80% |
| Blocks AI crawlers | 16.4% |
WAF reaches 92.2%. JavaScript is the strongest secondary barrier at 38.3%. CAPTCHA at 24.6% outpaces Antibot at 20.9%. TLS (17.8%) and Rate Limiting (12.3%) trail.
One- and two-barrier sites share the modal position equally
| % of sites | |
|---|---|
| 0 barriers | 4.4% |
| 1 barrier | 32.9% |
| 2 barriers | 32.9% |
| 3 barriers | 16.3% |
| 4 barriers | 9% |
| 5 barriers | 4.1% |
| 6 barriers | 0.3% |
4.4% of sites carry no barrier. Single- and dual-barrier sites each account for 32.9%, an equal modal tie. Sites with three or more barriers total 29.7%, with the full complement of six reached by just 0.3%.
Most Papua New Guinea sites are Simple to access
| Mean recommended tier | |
|---|---|
| All sites | 1.6 |
Median recommended tier is 1, meaning more than half of sites require only simple HTTP retrieval. Mean of 1.63 reflects a tail of harder sites: 9.0% at Tier 3 and 3.2% at Tiers 4–5.
Nearly nine in 10 sites are Simple or Easy to access
| % of sites | |
|---|---|
| 1 - Simple | 52.5% |
| 2 - Easy | 35.4% |
| 3 - Moderate | 9% |
| 4 - Complex | 2.3% |
| 5 - Advanced | 0.9% |
Tier 1 accounts for 52.5% and Tier 2 for 35.4%, totalling 87.9%. Tier 3 reaches 9.0%. Tiers 4 and 5 are marginal at 2.3% and 0.9% respectively.
robots.txt
AI crawlers are the most-named bot category in robots.txt
| % of sites | |
|---|---|
| AI crawlers | 18.3% |
| SEO / search indexing | 12.8% |
| SEO audit tools | 14.8% |
| Commercial scrapers | 8.8% |
| Social / content scrapers | 6.4% |
| Archive / research crawlers | 5% |
| Monitoring / uptime bots | 0.8% |
AI crawlers are named by 18.3% of all sites. Notably, SEO audit tools (14.8%) appear more often than SEO / search indexing (12.8%) — an unusual ordering. Commercial scrapers are mentioned by 8.8% of sites.
Uniform rules dominate Papua New Guinea robots.txt postures
| % of sites | |
|---|---|
| Uniform per-agent rules (no path mixing) | 42.6% |
| Path-level mixed rules for same agent | 32.2% |
| Allow-only (no disallow rules) | 1.9% |
| Mixed AI posture (block some, allow others) | 3.2% |
| Blanket Disallow: / | 3% |
Uniform per-agent rules apply at 42.6% of sites. Path-level mixed rules account for 32.2%. Mixed AI posture — blocking some agents while allowing others — is present at 3.2%. Blanket Disallow: / covers 3.0%.
GPTBot faces the most Disallow rules in Papua New Guinea's robots.txt
| Disallowed | Allowed (whitelisted) | |
|---|---|---|
| GPTBot | 13.3% | 2.5% |
| CCBot | 9.9% | 1% |
| ClaudeBot | 9.9% | 1.5% |
| Google-Extended | 9.8% | 1.6% |
| Bytespider | 8.5% | 0.6% |
| meta-externalagent | 4% | 0.3% |
| ChatGPT-User | 7% | 3% |
| PerplexityBot | 7.4% | 2.6% |
| Applebot-Extended | 5.9% | 0.5% |
| OAI-SearchBot | 4.7% | 2.5% |
| anthropic-ai | 6.3% | 1.3% |
GPTBot is named in Disallow rules on 13.3% of all sites — the highest block rate. ChatGPT-User receives the highest explicit Allow rate at 3.0%, followed by PerplexityBot at 2.6%.
Six sectors unanimously name at least one bot to restrict
| % of sites | |
|---|---|
| Adult | 100% |
| Design | 100% |
| Entertainment | 100% |
| Market Research | 100% |
| Printing | 100% |
| Retail | 100% |
| Aerospace & Defence | 90% |
| Airlines | 90% |
| Architecture | 90% |
| Computer & Video Games | 90% |
| General | 90% |
| Healthcare | 90% |
| Mass Media | 90% |
| Newspapers | 90% |
| Online Services | 90% |
Adult, Design, Entertainment, Market Research, Printing, and Retail sectors each see every sampled site name at least one bot in a Disallow rule. Nine further sectors sit at 90%, indicating near-uniform restriction postures.
Airlines leads both bot blocking and allowlisting in Papua New Guinea
| % of sites | |
|---|---|
| Airlines | 100% |
| Automotive | 80% |
| Aerospace & Defence | 70% |
| Photography | 70% |
| Publishing | 70% |
| Retail | 70% |
| Travel & Tourism | 70% |
| Architecture | 60% |
| Events | 60% |
| Investment | 60% |
| Market Research | 60% |
| Science | 60% |
| Software & Dev | 60% |
| Sporting Goods | 60% |
| Wine & Spirits | 60% |
Airlines leads with 100% of its sites naming at least one bot in an Allow rule. Automotive follows at 80%. Seven sectors — including Aerospace & Defence and Retail — register 60–70% Allow rates.
Industry Patterns
Apparel & Fashion is Papua New Guinea's hardest sector to access
| WAF | Antibot | CAPTCHA | JavaScript | Rate Limit | TLS | robots.txt | Blocks AI | Tier | |
|---|---|---|---|---|---|---|---|---|---|
| Apparel & Fashion | 90% | 0% | 20% | 70% | 20% | 20% | 90% | 10% | Tier 3 |
| Hospitality | 90% | 30% | 0% | 60% | 20% | 40% | 60% | 10% | Tier 3 |
| Computer Hardware | 90% | 20% | 0% | 40% | 20% | 40% | 80% | 10% | Tier 3 |
| Retail | 100% | 10% | 0% | 70% | 10% | 10% | 100% | 50% | Tier 2 |
| Automotive | 80% | 10% | 0% | 30% | 30% | 30% | 90% | 50% | Tier 2 |
| Jewellery & Luxury | 100% | 30% | 10% | 50% | 20% | 50% | 80% | 10% | Tier 2 |
| Reference | 80% | 40% | 20% | 30% | 20% | 10% | 50% | 20% | Tier 2 |
| Consumer Electronics | 80% | 10% | 10% | 40% | 10% | 40% | 90% | 20% | Tier 2 |
| Human Resources | 100% | 70% | 60% | 40% | 40% | 20% | 70% | 10% | Tier 2 |
| Food & Beverages | 100% | 60% | 40% | 50% | 30% | 0% | 80% | 30% | Tier 2 |
| Equipment & Supplies | 80% | 40% | 40% | 40% | 30% | 0% | 40% | 0% | Tier 2 |
| Music | 100% | 20% | 10% | 60% | 30% | 0% | 90% | 20% | Tier 2 |
| Transport & Logistics | 70% | 30% | 10% | 20% | 0% | 20% | 70% | 0% | Tier 2 |
| Adult | 100% | 20% | 20% | 70% | 10% | 10% | 100% | 10% | Tier 2 |
| Design | 100% | 20% | 30% | 40% | 20% | 30% | 100% | 30% | Tier 2 |
Apparel & Fashion leads with median tier 3 and mean of 2.70. Hospitality and Computer Hardware also hit median tier 3. Computer Hardware, Automotive, and Jewellery & Luxury share a mean of 2.40; the rest range down to 2.00.
Seven sectors share the most accessible floor
| WAF | Antibot | CAPTCHA | JavaScript | Rate Limit | TLS | robots.txt | Blocks AI | Tier | |
|---|---|---|---|---|---|---|---|---|---|
| Mail & Delivery | 80% | 30% | 20% | 10% | 0% | 20% | 80% | 0% | Tier 2 |
| Oil & Gas | 90% | 10% | 10% | 50% | 10% | 20% | 80% | 30% | Tier 2 |
| Real Estate | 80% | 10% | 20% | 60% | 20% | 20% | 90% | 50% | Tier 2 |
| Sporting Goods | 80% | 20% | 30% | 30% | 20% | 40% | 70% | 20% | Tier 2 |
| Libraries | 100% | 10% | 0% | 70% | 0% | 0% | 60% | 10% | Tier 2 |
| Sports | 100% | 10% | 10% | 60% | 20% | 10% | 80% | 60% | Tier 2 |
| Telecom | 90% | 0% | 10% | 60% | 0% | 20% | 90% | 10% | Tier 2 |
| Government | 90% | 20% | 0% | 40% | 0% | 10% | 100% | 0% | Tier 2 |
| Advertising & Mktg | 90% | 30% | 50% | 50% | 10% | 20% | 80% | 20% | Tier 2 |
| Beauty & Cosmetics | 100% | 40% | 60% | 60% | 10% | 30% | 80% | 20% | Tier 2 |
| Finance | 80% | 20% | 0% | 20% | 10% | 10% | 70% | 20% | Tier 2 |
| Market Research | 100% | 10% | 10% | 50% | 0% | 0% | 100% | 0% | Tier 2 |
| Renewable Energy | 80% | 10% | 30% | 40% | 20% | 20% | 80% | 10% | Tier 2 |
| Restaurants | 80% | 30% | 30% | 60% | 50% | 30% | 50% | 30% | Tier 2 |
| Science | 90% | 20% | 0% | 40% | 30% | 10% | 70% | 10% | Tier 2 |
The bottom 15 accessible sectors all carry a median recommended tier of 2. The floor mean of 1.80 is shared by Advertising & Mktg, Beauty & Cosmetics, Finance, Market Research, Renewable Energy, Restaurants, and Science.