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catherinestreetmedicalcentre.com screenshot

Report Summary

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    Performance

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    Accessibility

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    Best Practices

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    SEO

catherinestreetmedicalcentre.com

Family Medical Practice in Waterford - Catherine Street Medical

Page Load Speed

4.1 sec in total

First Response

288 ms

Resources Loaded

3 sec

Page Rendered

860 ms

catherinestreetmedicalcentre.com screenshot

About Website

Click here to check amazing Catherine Street Medical Centre content. Otherwise, check out these important facts you probably never knew about catherinestreetmedicalcentre.com

Catherine Street Medical is a Family Medical Practice in Waterford including Dr. Tony Lee Jnr., Dr. Áine Hennigan, Dr. Sarah O'Brien, Nurse Deirdre McCann and Nurse Marian Mulcahy.

Visit catherinestreetmedicalcentre.com

Key Findings

We analyzed Catherinestreetmedicalcentre.com page load time and found that the first response time was 288 ms and then it took 3.8 sec to load all DOM resources and completely render a web page. This is a poor result, as 65% of websites can load faster.

Performance Metrics

catherinestreetmedicalcentre.com performance score

0

Network Requests Diagram

catherinestreetmedicalcentre.com

288 ms

catherinestreetmedical.com

582 ms

animations.css

703 ms

style.min.css

793 ms

theme.min.css

795 ms

Our browser made a total of 82 requests to load all elements on the main page. We found that 1% of them (1 request) were addressed to the original Catherinestreetmedicalcentre.com, 83% (68 requests) were made to Catherinestreetmedical.com and 7% (6 requests) were made to Fonts.gstatic.com. The less responsive or slowest element that took the longest time to load (1.4 sec) relates to the external source Catherinestreetmedical.com.

Page Optimization Overview & Recommendations

Page size can be reduced by 159.3 kB (29%)

Content Size

540.7 kB

After Optimization

381.4 kB

  • HTML
  • Images
  • JavaScript
  • CSS

In fact, the total size of Catherinestreetmedicalcentre.com main page is 540.7 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. 45% of websites need less resources to load. Javascripts take 226.3 kB which makes up the majority of the site volume.

HTML Optimization

-83%

Potential reduce by 128.2 kB

  • Original 154.4 kB
  • After minification 148.6 kB
  • After compression 26.2 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. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 128.2 kB or 83% of the original size.

Image Optimization

-6%

Potential reduce by 2.8 kB

  • Original 46.6 kB
  • After minification 43.9 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. Catherine Street Medical Centre images are well optimized though.

JavaScript Optimization

-7%

Potential reduce by 15.8 kB

  • Original 226.3 kB
  • After minification 226.3 kB
  • After compression 210.5 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. This website has mostly compressed JavaScripts.

CSS Optimization

-11%

Potential reduce by 12.5 kB

  • Original 113.3 kB
  • After minification 113.0 kB
  • After compression 100.8 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. Catherinestreetmedicalcentre.com needs all CSS files to be minified and compressed as it can save up to 12.5 kB or 11% of the original size.

Requests Breakdown

Number of requests can be reduced by 56 (78%)

Requests Now

72

After Optimization

16

  • AJAX
  • Images
  • JavaScript
  • CSS

The browser has sent 72 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Catherine Street Medical Centre. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 23 to 1 for JavaScripts and from 35 to 1 for CSS and as a result speed up the page load time.

Network Requests Diagram

catherinestreetmedicalcentre.com

catherinestreetmedicalcentre.com

288 ms

catherinestreetmedical.com

catherinestreetmedical.com

582 ms

animations.css

animations.css

703 ms

style.min.css

style.min.css

793 ms

theme.min.css

theme.min.css

795 ms

header-footer.min.css

header-footer.min.css

801 ms

frontend.min.css

frontend.min.css

817 ms

post-7.css

post-7.css

799 ms

widget-heading.min.css

widget-heading.min.css

798 ms

widget-theme-elements.min.css

widget-theme-elements.min.css

884 ms

widget-social-icons.min.css

widget-social-icons.min.css

909 ms

apple-webkit.min.css

apple-webkit.min.css

923 ms

widget-icon-box.min.css

widget-icon-box.min.css

945 ms

widget-image.min.css

widget-image.min.css

910 ms

widget-nav-menu.min.css

widget-nav-menu.min.css

911 ms

widget-spacer.min.css

widget-spacer.min.css

974 ms

widget-text-editor.min.css

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997 ms

widget-google_maps.min.css

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998 ms

widget-icon-list.min.css

widget-icon-list.min.css

1010 ms

general.min.css

general.min.css

1013 ms

eael-9.css

eael-9.css

1051 ms

swiper.min.css

swiper.min.css

1065 ms

e-swiper.min.css

e-swiper.min.css

1087 ms

dashicons.min.css

dashicons.min.css

1190 ms

frontend.min.css

frontend.min.css

1099 ms

all.min.css

all.min.css

1191 ms

v4-shims.min.css

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1142 ms

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1174 ms

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1176 ms

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1188 ms

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1230 ms

style.min.css

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1266 ms

style.css

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1264 ms

css

css

38 ms

jquery.min.js

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1389 ms

jquery-migrate.min.js

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1340 ms

v4-shims.min.js

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1308 ms

js

js

65 ms

style.min.css

style.min.css

1351 ms

dynamic-visibility.min.css

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1352 ms

post-1582.css

post-1582.css

660 ms

hello-frontend.min.js

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721 ms

jquery.smartmenus.min.js

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720 ms

general.min.js

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717 ms

eael-9.js

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739 ms

app.min.js

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736 ms

dropdown.js

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718 ms

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651 ms

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webpack.runtime.min.js

642 ms

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725 ms

hooks.min.js

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725 ms

i18n.min.js

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691 ms

frontend.min.js

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668 ms

core.min.js

core.min.js

640 ms

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frontend.min.js

646 ms

elements-handlers.min.js

elements-handlers.min.js

698 ms

header-bg.svg

header-bg.svg

260 ms

Logo.svg

Logo.svg

286 ms

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289 ms

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292 ms

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297 ms

imgbin-online-book-logo-salon-spa-beauty-and-wellness-centre-wwrPC20gHnezFBzMJqJygKdKQ-150x150.jpg

imgbin-online-book-logo-salon-spa-beauty-and-wellness-centre-wwrPC20gHnezFBzMJqJygKdKQ-150x150.jpg

370 ms

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370 ms

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377 ms

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380 ms

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380 ms

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420 ms

footer-logo.svg

footer-logo.svg

468 ms

media-helm-logo-white.svg

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568 ms

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TK3_WkUHHAIjg75cFRf3bXL8LICs169vsUZiYA.ttf

22 ms

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33 ms

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50 ms

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61 ms

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61 ms

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TK3_WkUHHAIjg75cFRf3bXL8LICs1xZosUZiYA.ttf

62 ms

fa-solid-900.woff

fa-solid-900.woff

546 ms

fa-regular-400.woff

fa-regular-400.woff

444 ms

embed

embed

342 ms

js

js

31 ms

geometry.js

geometry.js

3 ms

search.js

search.js

6 ms

main.js

main.js

11 ms

SEO Factors

catherinestreetmedicalcentre.com SEO score

0

Language and Encoding

  • Language Detected

    EN

  • Language Claimed

    EN

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Catherinestreetmedicalcentre.com 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 Catherinestreetmedicalcentre.com 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

catherinestreetmedicalcentre.com

Open Graph data is detected on the main page of Catherine Street Medical Centre. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: