Report Summary

  • 0

    Performance

  • 0

    Accessibility

  • 0

    Best Practices

  • 0

    SEO

math.haifa.ac.il

Department of Mathematics | University of Haifa – החוג למתמטיקה, אוניברסיטת חיפה

Page Load Speed

1.7 sec in total

First Response

500 ms

Resources Loaded

1.2 sec

Page Rendered

87 ms

math.haifa.ac.il screenshot

About Website

Visit math.haifa.ac.il now to see the best up-to-date Math Haifa content for Israel and also check out these interesting facts you probably never knew about math.haifa.ac.il

Visit math.haifa.ac.il

Key Findings

We analyzed Math.haifa.ac.il page load time and found that the first response time was 500 ms and then it took 1.2 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

math.haifa.ac.il performance score

0

Network Requests Diagram

math.haifa.ac.il

500 ms

css.css

172 ms

header.js

659 ms

Our browser made a total of 3 requests to load all elements on the main page. We found that all of those requests were addressed to Math.haifa.ac.il and no external sources were called. The less responsive or slowest element that took the longest time to load (659 ms) belongs to the original domain Math.haifa.ac.il.

Page Optimization Overview & Recommendations

Page size can be reduced by 1.2 kB (61%)

Content Size

1.9 kB

After Optimization

765 B

In fact, the total size of Math.haifa.ac.il main page is 1.9 kB. This result falls within a big category (top 100 000) of medium weight web pages. Only a small number of websites need less resources to load. CSS take 1.4 kB which makes up the majority of the site volume.

HTML Optimization

-41%

Potential reduce by 232 B

  • Original 572 B
  • After minification 545 B
  • After compression 340 B

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 232 B or 41% of the original size.

CSS Optimization

-69%

Potential reduce by 941 B

  • Original 1.4 kB
  • After minification 918 B
  • After compression 425 B

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. Math.haifa.ac.il needs all CSS files to be minified and compressed as it can save up to 941 B or 69% of the original size.

Requests Breakdown

We found no issues to fix!

Requests Now

2

After Optimization

2

The browser has sent 2 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Math Haifa. According to our analytics all requests are already optimized.

SEO Factors

math.haifa.ac.il SEO score

0

Language and Encoding

  • Language Detected

    IW

  • Language Claimed

    N/A

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Math.haifa.ac.il can be misinterpreted by Google and other search engines. Our service has detected that Hebrew 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 Math.haifa.ac.il 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 Math Haifa. 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: