On Latixo, the Southeast Asian test location is Singapore. Comparing a Singapore result against Tokyo, Sydney and a US location helps you assess whether a slow page is a regional delivery problem or a site-wide one, which is the question most “is my site slow in Asia?” checks are really trying to answer.
One Singapore run is a single controlled measurement from one Browser Node. It is useful evidence. It is not a measurement of every visitor in Jakarta, Manila, Bangkok or Ho Chi Minh City, and the rest of this page explains where that gap matters and how to work around it.
Southeast Asia is not one network
Southeast Asia is often treated as a single target market, but from a delivery point of view it is several distinct networks. Domestic ISPs and mobile carriers in Indonesia, the Philippines, Vietnam, Thailand and Malaysia peer and route traffic differently, and a request from a phone in Surabaya can take a very different path from a request leaving a data center in Singapore.
Singapore is a useful measurement point for the region because many CDNs, cloud providers and carriers place infrastructure there. If your site is delivered through a CDN or hosted on a cloud region in Singapore, a Singapore test sits close to where regional traffic may be served from. That makes it a strong first check.
Where it becomes less representative:
- Your origin or edge is in another Southeast Asian country. If your site is hosted in Jakarta and served without a CDN, a Singapore test measures the Singapore-to-Jakarta path, not what a local Indonesian visitor sees.
- Domestic routing is the problem. Some slowdowns only appear on particular local ISPs or mobile networks. A data-center test node will not reproduce those.
- Your audience is mostly on mobile networks. A simulated mobile profile helps here, but it is a fixed approximation, not a real 4G connection in a specific city.
So treat Singapore as the regional reference point, not as a stand-in for every country around it. If a result looks fine from Singapore but users in one specific market still complain, the next step is field data from that market, not more lab runs from the same node.
What a Latixo test from Singapore returns
When you select Singapore in the Latixo Website Speed Test, a Browser Node in Singapore opens your public URL in Chromium and records the page load. The standard result includes:
- A Latixo performance grade and score
- Total load time
- Time to First Byte (TTFB)
- Transferred page weight and observed request count
- HTTP status, negotiated HTTP protocol and content type
- The Browser Node that ran the test
- A final WebP screenshot and, when capture succeeds, a WebM Loading Replay
- Recommendation checks based on that run
Two limits are worth knowing before you compare results. The standard public result does not currently show separate FCP, LCP or CLS values, and it does not list DNS or TLS timing as separate rows. For a new connection, those connection phases contribute to the navigation's TTFB instead of appearing as separate figures. The screenshot and Loading Replay show what rendered and when, but they are visual evidence, not quantified Core Web Vitals. The methodology page and metrics explanation describe how each value is collected.
How to compare loading performance across regions
A single number from Singapore does not tell you much on its own. The comparison is what makes it useful. This workflow keeps the comparison fair:
- Fix the test conditions. Use the same URL, including the same trailing slash and protocol, and the same profile (Desktop or Mobile) for every location. Changing either one changes what you are measuring.
- Run Singapore first. This is your regional reference result.
- Add nearby Asia-Pacific locations. Latixo also runs Browser Nodes in Tokyo and Sydney. They are not in Southeast Asia, but they show whether a problem is specific to the Singapore path or shared across the wider region.
- Add a control far from the region. Run the same test from Virginia or Seattle. If your hosting is in the US, this can provide a useful near-origin comparison; do not assume it will always be the fastest.
- Repeat the important runs. Run Singapore at least two or three times. The first request may hit a cold CDN cache, and network conditions vary from minute to minute. One run is a sample, not a verdict.
- Compare saved reports side by side. Latixo saves completed results as reports, and two saved reports can be compared directly. The comparison displays stored metrics and warns when the runs used different nodes, profiles or other relevant conditions, so you do not mistake a setup difference for a performance change. It reads stored results and does not run a new test.
The same workflow works for before-and-after checks. Test from Singapore, deploy your change (moving to a regional CDN, enabling HTML caching, compressing images), test again with the same profile, then compare the two saved reports.
Keep comparisons controlled: use the same URL and Test Profile, repeat the runs, and compare multiple metrics rather than a single headline score.
Reading the differences
Regional comparisons rarely give a direct diagnosis, but certain patterns point clearly in one direction. The table below lists common patterns and what they usually suggest. These are interpretations of the measurements, not conclusions they prove. Confirm them before making infrastructure decisions.
| Pattern you see | What it usually suggests | What to check next |
|---|---|---|
| TTFB is high from every location, including the one nearest your origin | Slow backend work or an uncached HTML response | Server-side processing time, database queries, whether HTML is cached at all |
| TTFB is fine from Virginia or Seattle but much higher from Singapore, Tokyo and Sydney | Origin may be in North America and HTML may not be served from a regional edge | CDN cache rules for HTML, a regional origin or edge rendering |
| First Singapore run is slow, repeat runs are noticeably faster | Possible cold CDN cache at the regional edge, among other causes | Cache hit/miss on the main document, cache TTLs, how often the page is purged |
| TTFB in Singapore looks reasonable but total load time is long | The delay comes after the HTML: assets, scripts, third parties | Page weight, request count, Loading Replay and a separate request-level inspection if needed |
| Desktop result is acceptable, Mobile is far slower | Page weight and JavaScript cost hit harder under the mobile profile’s bandwidth and CPU limits | Image sizes, script volume, render-blocking resources |
| Results from the same node vary widely between runs | Network variance or intermittent backend load | More repeat runs; look at the spread, not a single value |
If you are unsure what a TTFB figure means in absolute terms, What Is a Good TTFB? covers common reference values and why a single lab run should not be read as pass or fail. For the general mechanics of why location changes results at all, see Why Website Speed Varies by Location.
Why sites load slowly in Southeast Asia
Most regional slowness comes from a short list of causes. They are easier to separate when you have results from more than one location.
Origin hosted far away
A site hosted in the US or Europe and served without regional caching sends every uncached request across long international links. Static assets on a CDN can hide this partly, but if the HTML itself comes from a distant origin, the browser waits for that response before it can begin discovering resources referenced by the returned HTML. This is a common reason a site that tests fast in North America feels slow in Singapore.
CDN in place, HTML not cached
Many CDN setups cache images, CSS and JavaScript but pass the main HTML document through to the origin. The page then looks CDN-accelerated in some asset requests, but TTFB can still reflect a trip to the origin. Comparing TTFB between Singapore and a location near your origin may reveal a large gap, but only CDN cache headers or provider logs can establish whether the document was served from the edge.
Redirect chains
Redirects from http to https, from the bare domain to www, or to a country or language path each add a request-response step before the final document loads. Over a short connection that is cheap. Over a long one, each redirect can add noticeable delay. Test the exact URL visitors arrive at, and check whether it resolves in one step.
Heavy pages on mobile connections
Large images and heavy JavaScript cost more under constrained bandwidth and slower CPUs. If your regional audience browses mostly on phones, the mobile result is the one to watch. How large images slow down a website covers the fixes that usually make the biggest difference.
Third-party scripts served from outside the region
Your own assets may be delivered from Singapore while analytics, chat widgets, ad tags or font services are fetched from other continents. The Loading Replay can show a late visual change or stalled rendering; use a request-level network inspection to identify which third-party resources are responsible. The standard public Latixo result is not a full request waterfall.
Desktop or Mobile for Southeast Asian audiences?
For many Southeast Asian audiences, a large share of browsing happens on phones, so the Mobile profile is usually the more relevant starting point. Check your own analytics before deciding, though. A B2B tool used from office desktops has a different audience from a consumer store.
Latixo’s Mobile profile uses a 390 × 844 viewport at DPR 3, a 4× CPU slowdown, and network limits of 1.6 Mbps down, 750 Kbps up and 150 ms latency. The Desktop profile uses a 1366 × 768 viewport and the node’s native CPU and network. Because the mobile latency limit is applied on top of the real network path from Singapore, mobile TTFB and load times can be higher than desktop for the same page. That difference comes from the profile, not just the page. Compare Mobile with Mobile and Desktop with Desktop.
What a lab test cannot tell you
A Latixo test is lab data: one page load from one Browser Node, under one fixed profile, at one moment. It is suited to diagnosis, repeatable comparisons and checking a deployment right after it goes live.
It cannot tell you how real visitors in each Southeast Asian country experienced your site over the past month. For that you need field data, such as the Chrome User Experience Report, which aggregates real Chrome visits and offers country-level data in applicable datasets where enough traffic exists. If field data shows Indonesian or Philippine users having a much worse experience than the Singapore lab result suggests, domestic routing and real mobile network conditions are possible causes, but they are not the only explanations.
Used together, the two answer different questions. The lab test shows what happened in a controlled run and supports comparisons. Field data shows how real users experienced the site across varied conditions.
Run the comparison
Start with your homepage or your highest-traffic landing page. Test it from Singapore on the profile your audience actually uses, repeat it, then run the same test from Tokyo, Sydney and a US location. If Singapore stands out, look at caching and origin placement first. If every location is slow, the problem is probably not geography alone.
Run a website speed test from Singapore