7.4 sec in total
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Visit floridahomesalesearch.com now to see the best up-to-date FL Oridahomesalesearch content and also check out these interesting facts you probably never knew about floridahomesalesearch.com
12809 SW 2nd Ave - Newberry, FL 32669 - Spacious 4 bedroom, 3 bath home with a study, formal dining room, sunroom or second office, and rear-entry garage in the Town of Tioga. This beautiful Pridgen-b...
Visit floridahomesalesearch.comWe analyzed Floridahomesalesearch.com page load time and found that the first response time was 72 ms and then it took 7.3 sec to load all DOM resources and completely render a web page. This is a poor result, as 80% of websites can load faster.
floridahomesalesearch.com performance score
72 ms
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Our browser made a total of 47 requests to load all elements on the main page. We found that 2% of them (1 request) were addressed to the original Floridahomesalesearch.com, 30% (14 requests) were made to 12809sw2ndave.relahq.com and 15% (7 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 Zillow.com.
Page size can be reduced by 91.7 kB (3%)
3.6 MB
3.5 MB
In fact, the total size of Floridahomesalesearch.com main page is 3.6 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. 75% 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 3.2 MB which makes up the majority of the site volume.
Potential reduce by 48.8 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. 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 48.8 kB or 74% of the original size.
Potential reduce by 23.3 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. FL Oridahomesalesearch images are well optimized though.
Potential reduce by 19.2 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 19.2 kB or 17% of the original size.
Potential reduce by 334 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. Floridahomesalesearch.com has all CSS files already compressed.
Number of requests can be reduced by 16 (46%)
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The browser has sent 35 CSS, Javascripts, AJAX and image requests in order to completely render the main page of FL Oridahomesalesearch. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 13 to 1 for JavaScripts and from 5 to 1 for CSS and as a result speed up the page load time.
floridahomesalesearch.com
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floridahomesalesearch.com SEO score
EN
EN
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Floridahomesalesearch.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 Floridahomesalesearch.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.
floridahomesalesearch.com
Open Graph data is detected on the main page of FL Oridahomesalesearch. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: