Programming Language Salary Distribution and Market Share Analysis

The author shares a data‑driven study of programming language demand and compensation in the Chinese job market, based on a crawler that collected recruitment data from several online sources. The analysis includes average salary, median salary, minimum and maximum wages, the number of job postings, and the percentage share for each language.

Rank

Programming Language

Average Salary

Median Salary

Minimum Salary

Maximum Salary

Headcount

Headcount Percentage

1

rust

21580

20000

6127

47469

501

0.16%

2

ruby

20583

17500

3510

45149

897

0.28%

3

scala

20548

20000

7000

45000

1856

0.58%

4

go

19335

17500

7000

45000

21853

6.87%

5

lua

19252

17500

5250

40000

2182

0.69%

6

python

18742

16000

5450

45000

25229

7.93%

7

matlab

17903

17500

6500

37500

5083

1.60%

8

perl

16679

15000

5000

37500

1885

0.59%

9

swift

15691

14000

6500

32700

1724

0.54%

10

kotlin

15604

15000

6500

30000

619

0.19%

11

php

15388

12500

5000

42500

11165

3.51%

12

haskell

15250

15000

11500

24375

30

0.01%

13

typescript

15187

13500

6216

35000

673

0.21%

14

cpp

14962

12500

5250

37500

83970

26.39%

15

objective_c

14444

13000

6386

26292

129

0.04%

16

java

14101

12500

5250

35000

89793

28.21%

17

julia

14000

12500

12500

21500

12

0.01%

18

c_sharp

12272

11500

4525

30000

35896

11.28%

19

javascript

11922

11500

5000

25000

31234

9.81%

20

visual_basic

11623

12500

5250

21875

25

0.01%

The results were also visualized as a pie chart, illustrating the relative market share of each language. The author notes that salary levels for PHP are relatively stable and that language choice should ultimately serve career goals.

For readers interested in the original source code and full analysis, a link to the complete article is provided at the end of the post.