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SalariesJob TitlesScience Teacher/coachsScience Teacher/coachs in San Francisco, CA
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Science Teacher/coach Salary in San Francisco, CA.

Updated on: Nov 13, 2023

How much does a Science Teacher/coach make in San Francisco, CA?

The average Science Teacher/coach in San Francisco, CA makes $135,533, 72% above the national average Science Teacher/coach salary of $78,825. This pay is 31% greater than the combined average salaries of other metroes San Jose, CA, Portland, OR, and Charlottesville, VA.

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Science Teacher/coach Salary Average

Filters
Experience
Any
0-1 Years
2-3 Years
4-5 Years
6-7 Years
8-9 Years
10-14 Years
15-19 Years
20-29 Years
30+ Years
Ethnicity
Any
Caucasian
Hispanic Or Latino
African American
Asian Or Pacific Islander
Native American
Other
Gender
Any
Male
Female
Non Binary
Company Size
Any
1-10 employees
11-50 employees
51-200 employees
201-500 employees
501-1,000 employees
1,001-5,000 employees
5,001-10,000 employees
10,000+ employees
Company Stage
Any
Under One Year
1-3 Years
3-6 Years
6-10 Years
10+ Years
Money Raised
Any
Under 1M
1M - 3M
3M - 10M
10M - 30M
30M +
Public Company
Not Applicable
Education
Any
High School
Some College
Associate's degree
Bachelor's degree
Master's degree
Doctoral or Professional degree
Filters
Years of Experience
Any
0-1 Years
2-3 Years
4-5 Years
6-7 Years
8-9 Years
10-14 Years
15-19 Years
20-29 Years
30+ Years
Education Level
Any
High School
Some College
Associate's degree
Bachelor's degree
Master's degree
Doctoral or Professional degree
Company Size
Any
1-10 employees
11-50 employees
51-200 employees
201-500 employees
501-1,000 employees
1,001-5,000 employees
5,001-10,000 employees
10,000+ employees
Company Stage
Any
Under One Year
1-3 Years
3-6 Years
6-10 Years
10+ Years
Money Raised
Any
Under 1M
1M - 3M
3M - 10M
10M - 30M
30M +
Public Company
Not Applicable
Gender
Any
Male
Female
Non Binary
Ethnicity
Any
Caucasian
Hispanic Or Latino
African American
Asian Or Pacific Islander
Native American
Other

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Base Salary

Compare salary averages by location

Explore and compare salaries based on different locations to gain valuable insights and make informed decisions.

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*Data is estimated and depends on the generous anonymous contributions of individuals

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