Report Summary

  • 42

    Performance

    Renders faster than
    61% of other websites

  • 48

    Accessibility

    Visual factors better than
    that of 20% of websites

  • 50

    Best Practices

    More advanced features
    available than in
    18% of websites

  • 58

    SEO

    Google-friendlier than
    20% of websites

venkateswaranursing.ac.in

Ishari K Ganesh Chairman - Venkateswara Nursing College, Affiliated to TN Dr MGR Medical University, Group of Vels University, Tamil Nadu, India

Page Load Speed

843 ms in total

First Response

109 ms

Resources Loaded

551 ms

Page Rendered

183 ms

venkateswaranursing.ac.in screenshot

About Website

Visit venkateswaranursing.ac.in now to see the best up-to-date Venkateswara Nursing content and also check out these interesting facts you probably never knew about venkateswaranursing.ac.in

Dr Isari K Ganesh Chairman - Venkateswara Nursing College, Group of Vels University, Affiliated to TN Dr MGR Medical University, Tamil nadu, India

Visit venkateswaranursing.ac.in

Key Findings

We analyzed Venkateswaranursing.ac.in page load time and found that the first response time was 109 ms and then it took 734 ms to load all DOM resources and completely render a web page. This is quite a good result, as only 10% of websites can load faster.

Performance Metrics

venkateswaranursing.ac.in performance score

42

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value4.8 s

11/100

10%

LCP (Largest Contentful Paint)

Value7.5 s

4/100

25%

SI (Speed Index)

Value4.8 s

66/100

10%

TBT (Total Blocking Time)

Value550 ms

53/100

30%

CLS (Cumulative Layout Shift)

Value0.061

97/100

15%

TTI (Time to Interactive)

Value9.3 s

32/100

10%

Network Requests Diagram

venkateswaranursing.ac.in

109 ms

style.css

100 ms

ddsmoothmenu.css

69 ms

jquery.css

70 ms

swfobject_modified.js

68 ms

Our browser made a total of 54 requests to load all elements on the main page. We found that 94% of them (51 requests) were addressed to the original Venkateswaranursing.ac.in, 4% (2 requests) were made to Google-analytics.com and 2% (1 request) were made to Googletagmanager.com. The less responsive or slowest element that took the longest time to load (236 ms) belongs to the original domain Venkateswaranursing.ac.in.

Page Optimization Overview & Recommendations

Page size can be reduced by 482.2 kB (58%)

Content Size

832.8 kB

After Optimization

350.5 kB

In fact, the total size of Venkateswaranursing.ac.in main page is 832.8 kB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 35% of websites need less resources to load. Javascripts take 483.8 kB which makes up the majority of the site volume.

HTML Optimization

-86%

Potential reduce by 43.1 kB

  • Original 49.9 kB
  • After minification 35.4 kB
  • After compression 6.8 kB

HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. This page needs HTML code to be minified as it can gain 14.5 kB, which is 29% of the original size. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 43.1 kB or 86% of the original size.

Image Optimization

-2%

Potential reduce by 4.9 kB

  • Original 200.4 kB
  • After minification 195.5 kB

Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Venkateswara Nursing images are well optimized though.

JavaScript Optimization

-72%

Potential reduce by 348.3 kB

  • Original 483.8 kB
  • After minification 452.5 kB
  • After compression 135.6 kB

It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. It is highly recommended that all JavaScript files should be compressed and minified as it can save up to 348.3 kB or 72% of the original size.

CSS Optimization

-87%

Potential reduce by 85.9 kB

  • Original 98.6 kB
  • After minification 72.4 kB
  • After compression 12.7 kB

CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Venkateswaranursing.ac.in needs all CSS files to be minified and compressed as it can save up to 85.9 kB or 87% of the original size.

Requests Breakdown

Number of requests can be reduced by 28 (57%)

Requests Now

49

After Optimization

21

The browser has sent 49 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Venkateswara Nursing. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 20 to 1 for JavaScripts and as a result speed up the page load time.

Accessibility Review

venkateswaranursing.ac.in accessibility score

48

Accessibility Issues

Contrast

These are opportunities to improve the legibility of your content.

Impact

Issue

High

Background and foreground colors do not have a sufficient contrast ratio.

Navigation

These are opportunities to improve keyboard navigation in your application.

Impact

Issue

High

Heading elements are not in a sequentially-descending order

Internationalization and localization

These are opportunities to improve the interpretation of your content by users in different locales.

Impact

Issue

High

<html> element does not have a [lang] attribute

Names and labels

These are opportunities to improve the semantics of the controls in your application. This may enhance the experience for users of assistive technology, like a screen reader.

Impact

Issue

High

Image elements do not have [alt] attributes

High

Links do not have a discernible name

Tables and lists

These are opportunities to improve the experience of reading tabular or list data using assistive technology, like a screen reader.

Impact

Issue

High

Lists do not contain only <li> elements and script supporting elements (<script> and <template>).

Best Practices

venkateswaranursing.ac.in best practices score

50

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

High

Includes front-end JavaScript libraries with known security vulnerabilities

Low

Ensure CSP is effective against XSS attacks

User Experience

Impact

Issue

High

Displays images with incorrect aspect ratio

High

Serves images with low resolution

General

Impact

Issue

Low

Detected JavaScript libraries

High

Browser errors were logged to the console

SEO Factors

venkateswaranursing.ac.in SEO score

58

Search Engine Optimization Advices

Crawling and Indexing

To appear in search results, crawlers need access to your app.

Impact

Issue

High

Links are not crawlable

Content Best Practices

Format your HTML in a way that enables crawlers to better understand your app’s content.

Impact

Issue

High

Image elements do not have [alt] attributes

Language and Encoding

  • Language Detected

    EN

  • Language Claimed

    N/A

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Venkateswaranursing.ac.in can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and neither this language nor any other was claimed in <html> or <meta> tags. Our system also found out that Venkateswaranursing.ac.in main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.

Social Sharing Optimization

Open Graph description is not detected on the main page of Venkateswara Nursing. Lack of Open Graph description can be counter-productive for their social media presence, as such a description allows converting a website homepage (or other pages) into good-looking, rich and well-structured posts, when it is being shared on Facebook and other social media. For example, adding the following code snippet into HTML <head> tag will help to represent this web page correctly in social networks: