1.6 sec in total
86 ms
1.5 sec
62 ms
Welcome to sanfranciscostreetcleaning.com homepage info - get ready to check San Francisco Street Cleaning best content for United States right away, or after learning these important things about sanfranciscostreetcleaning.com
Get street cleaning/sweeping schedule and map, residential parking permit areas, tow away zones, and other parking rules in Yerba Buena neighborhood of San Francisco.
Visit sanfranciscostreetcleaning.comWe analyzed Sanfranciscostreetcleaning.com page load time and found that the first response time was 86 ms and then it took 1.5 sec to load all DOM resources and completely render a web page. This is quite a good result, as only 30% of websites can load faster.
sanfranciscostreetcleaning.com performance score
name
value
score
weighting
Value8.0 s
0/100
10%
Value8.1 s
2/100
25%
Value8.0 s
22/100
10%
Value280 ms
81/100
30%
Value0.001
100/100
15%
Value10.2 s
25/100
10%
86 ms
326 ms
477 ms
38 ms
204 ms
Our browser made a total of 30 requests to load all elements on the main page. We found that 3% of them (1 request) were addressed to the original Sanfranciscostreetcleaning.com, 57% (17 requests) were made to Xtreet.com and 20% (6 requests) were made to Js.cit.api.here.com. The less responsive or slowest element that took the longest time to load (489 ms) relates to the external source Js.cit.api.here.com.
Page size can be reduced by 121.6 kB (22%)
557.6 kB
436.1 kB
In fact, the total size of Sanfranciscostreetcleaning.com main page is 557.6 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. 55% of websites need less resources to load. Javascripts take 443.6 kB which makes up the majority of the site volume.
Potential reduce by 36.3 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 12.7 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 36.3 kB or 83% of the original size.
Potential reduce by 6.2 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. Obviously, San Francisco Street Cleaning needs image optimization as it can save up to 6.2 kB or 14% of the original volume. The most popular and efficient tools for JPEG and PNG image optimization are Jpegoptim and PNG Crush.
Potential reduce by 76.2 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 76.2 kB or 17% of the original size.
Potential reduce by 2.9 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. Sanfranciscostreetcleaning.com needs all CSS files to be minified and compressed as it can save up to 2.9 kB or 11% of the original size.
Number of requests can be reduced by 15 (68%)
22
7
The browser has sent 22 CSS, Javascripts, AJAX and image requests in order to completely render the main page of San Francisco Street Cleaning. 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 6 to 1 for CSS and as a result speed up the page load time.
sanfranciscostreetcleaning.com
86 ms
parking-san-francisco
326 ms
parking-san-francisco
477 ms
css
38 ms
animate.css
204 ms
reset.css
279 ms
icons.css
217 ms
styles.css
421 ms
mapsjs-ui.css
28 ms
jquery-3.1.1.min.js
353 ms
scripts.js
272 ms
jquery.validate.js
439 ms
mapsjs-core.js
441 ms
mapsjs-data.js
485 ms
mapsjs-service.js
484 ms
mapsjs-ui.js
489 ms
mapsjs-mapevents.js
483 ms
map.here.js
341 ms
map.js
349 ms
js
71 ms
img_loader.png
99 ms
logo.png
78 ms
icn_close.svg
102 ms
xtreet.com-Banner_467by60_5.jpg
77 ms
vEF72_JTCgwQ5ejvMV0Ox_Kg1UwJ0tKfX4zNpD8E4ASzH1r93zuoyjkj.ttf
26 ms
vEF72_JTCgwQ5ejvMV0Ox_Kg1UwJ0tKfX4zNpD8E4ASzH1r9gTuoyjkj.ttf
63 ms
vEF72_JTCgwQ5ejvMV0Ox_Kg1UwJ0tKfX4zNpD8E4ASzH1r9Zjyoyjkj.ttf
40 ms
xtreet_icns.ttf
69 ms
icn_civichub_n.png
76 ms
neighborhoods_list.html
95 ms
sanfranciscostreetcleaning.com accessibility score
Contrast
These are opportunities to improve the legibility of your content.
Impact
Issue
Background and foreground colors do not have a sufficient contrast ratio.
Best practices
These items highlight common accessibility best practices.
Impact
Issue
[user-scalable="no"] is used in the <meta name="viewport"> element or the [maximum-scale] attribute is less than 5.
sanfranciscostreetcleaning.com best practices score
Trust and Safety
Impact
Issue
Does not use HTTPS
Includes front-end JavaScript libraries with known security vulnerabilities
Ensure CSP is effective against XSS attacks
User Experience
Impact
Issue
Serves images with low resolution
General
Impact
Issue
Detected JavaScript libraries
Browser errors were logged to the console
Missing source maps for large first-party JavaScript
sanfranciscostreetcleaning.com SEO score
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
Document uses legible font sizes
EN
EN
UTF-8
Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Sanfranciscostreetcleaning.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 Sanfranciscostreetcleaning.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.
sanfranciscostreetcleaning.com
Open Graph description is not detected on the main page of San Francisco Street Cleaning. 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: