Report Summary

  • 35

    Performance

    Renders faster than
    56% of other websites

  • 77

    Accessibility

    Visual factors better than
    that of 45% of websites

  • 75

    Best Practices

    More advanced features
    available than in
    36% of websites

  • 86

    SEO

    Google-friendlier than
    61% of websites

newhaven.edu

Home - University of New Haven

Page Load Speed

1.5 sec in total

First Response

57 ms

Resources Loaded

1.2 sec

Page Rendered

214 ms

newhaven.edu screenshot

About Website

Visit newhaven.edu now to see the best up-to-date New Haven content for United States and also check out these interesting facts you probably never knew about newhaven.edu

The University of New Haven, founded on the Yale campus in 1920, is a private, coeducational university situated on the coast of southern New England in West Haven, Connecticut. It’s a diverse and vib...

Visit newhaven.edu

Key Findings

We analyzed Newhaven.edu page load time and found that the first response time was 57 ms and then it took 1.4 sec to load all DOM resources and completely render a web page. This is quite a good result, as only 25% of websites can load faster.

Performance Metrics

newhaven.edu performance score

35

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value2.3 s

73/100

10%

LCP (Largest Contentful Paint)

Value6.9 s

6/100

25%

SI (Speed Index)

Value4.0 s

80/100

10%

TBT (Total Blocking Time)

Value1,790 ms

10/100

30%

CLS (Cumulative Layout Shift)

Value0

100/100

15%

TTI (Time to Interactive)

Value19.1 s

3/100

10%

Network Requests Diagram

newhaven.edu

57 ms

authoring.css

17 ms

screen.css

21 ms

jqueryplugin.css

21 ms

behavior.css

8 ms

Our browser made a total of 116 requests to load all elements on the main page. We found that 91% of them (106 requests) were addressed to the original Newhaven.edu, 5% (6 requests) were made to Google.com and 2% (2 requests) were made to Stats.g.doubleclick.net. The less responsive or slowest element that took the longest time to load (849 ms) belongs to the original domain Newhaven.edu.

Page Optimization Overview & Recommendations

Page size can be reduced by 1.2 MB (26%)

Content Size

4.7 MB

After Optimization

3.5 MB

In fact, the total size of Newhaven.edu main page is 4.7 MB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 85% of websites need less resources to load and that’s why Accessify’s recommendations for optimization and resource minification can be helpful for this project. Images take 3.3 MB which makes up the majority of the site volume.

HTML Optimization

-79%

Potential reduce by 42.8 kB

  • Original 53.9 kB
  • After minification 48.2 kB
  • After compression 11.1 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 5.7 kB, which is 11% 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 42.8 kB or 79% of the original size.

Image Optimization

-4%

Potential reduce by 117.8 kB

  • Original 3.3 MB
  • After minification 3.2 MB

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. New Haven images are well optimized though.

JavaScript Optimization

-82%

Potential reduce by 766.5 kB

  • Original 937.3 kB
  • After minification 655.2 kB
  • After compression 170.8 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 766.5 kB or 82% of the original size.

CSS Optimization

-86%

Potential reduce by 285.7 kB

  • Original 333.0 kB
  • After minification 241.7 kB
  • After compression 47.3 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. Newhaven.edu needs all CSS files to be minified and compressed as it can save up to 285.7 kB or 86% of the original size.

Requests Breakdown

Number of requests can be reduced by 36 (34%)

Requests Now

106

After Optimization

70

The browser has sent 106 CSS, Javascripts, AJAX and image requests in order to completely render the main page of New Haven. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 11 to 1 for JavaScripts and from 13 to 1 for CSS and as a result speed up the page load time.

Accessibility Review

newhaven.edu accessibility score

77

Accessibility Issues

ARIA

These are opportunities to improve the usage of ARIA in your application which may enhance the experience for users of assistive technology, like a screen reader.

Impact

Issue

High

Elements with an ARIA [role] that require children to contain a specific [role] are missing some or all of those required children.

High

[role] values are not valid

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

<frame> or <iframe> elements do not have a title

Navigation

These are opportunities to improve keyboard navigation in your application.

Impact

Issue

High

Heading elements are not in a sequentially-descending order

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

List items (<li>) are not contained within <ul> or <ol> parent elements.

Best Practices

newhaven.edu best practices score

75

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

General

Impact

Issue

Low

Detected JavaScript libraries

High

Browser errors were logged to the console

High

Page has valid source maps

SEO Factors

newhaven.edu SEO score

86

Search Engine Optimization Advices

Content Best Practices

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

Impact

Issue

High

Links do not have descriptive text

Mobile Friendly

Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).

Impact

Issue

High

Document uses legible font sizes

High

Tap targets are not sized appropriately

Language and Encoding

  • Language Detected

    EN

  • Language Claimed

    EN

  • Encoding

    N/A

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Newhaven.edu can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Newhaven.edu main page’s claimed encoding is . Changing it to UTF-8 can be a good choice, as this format is commonly used for encoding all over the web and thus their visitors won’t have any troubles with symbol transcription or reading.

Social Sharing Optimization

Open Graph description is not detected on the main page of New Haven. 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: