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Demographics

This year's survey reached 9,190 developers throughout the world.

Country or Region

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Where do you currently reside?
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The language respondents selected to fill out the survey
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You'll find little hints like this one throughout the survey results that will point out extra features and details.

Survey Completion

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The proportion of the survey filled out by respondents.
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How old are you, in years?

Years of Experience

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How long have you been working or studying in this field, in years?

Company Size

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How many people work at your organization, including yourself?
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Some charts feature additional tabs that offer complementary breakdowns of the same data, or related data. Make sure to check them out!

Higher Education Degree

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Do you have a higher education degree?

Yearly Income

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What is your yearly gross (pre-tax) income in U.S. dollar?
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Which one of the following options describes you?

Race & Ethnicity

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Which of the following options describe you?

Disability Status

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Please check all that apply. Note that this can include temporary disabilities or injuries.
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How respondents found out about the survey
Respondent source is computed based on referrer data, URL tracking data, and self-reported answers.

Data Explorer

Dynamically explore the survey's audience by picking two questions, and seeing how respondents are distributed between them.

1%
Extra Respondents
Missing Respondents
Yearly Income
Years of Experience
$0k-$10k
453 respondents453
9
$10k-$30k
853 respondents853
17
$30k-$50k
1081 respondents1081
21
$50k-$100k
1711 respondents1711
33
$100k-$200k
911 respondents911
18
More than $200k
148 respondents148
3
Less than one year
222 respondents222
4
1 to 2 years
749 respondents749
15
3 to 5 years
1482 respondents1482
29
6 to 10 years
1607 respondents1607
31
11 to 20 years
1699 respondents1699
33
More than 20 years
751 respondents751
15
19%
7%
6%
3%
1%
0.5%
20%
18%
10%
6%
1%
0.2%
12%
22%
19%
18%
5%
0.7%
3%
13%
22%
32%
15%
2%
2%
8%
16%
38%
23%
4%
0.8%
5%
12%
33%
28%
6%

Extra & Missing Respondents

The chart above aims to identify areas showing higher-than-expected or lower-than-expected values compared to a calculated baseline.

For example, assuming there are 1000 CSS Grid users, and that 50% of survey respondents work in a large company, you'd expect to find 500 CSS Grid users working in large companies.

Any deviation above or below that expected total could potentially indicate an interesting correlation between both variables, and is highlighted on the chart with either colored dots (for extra respondents above the baseline) or empty dots (for missing respondents).

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