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COL-adjusted ranking

Best Cities for Data Scientistss by Take-Home Pay

The cities that pay Data Scientistss the most on paper aren't usually the best deals once rent and prices are factored in. Idaho Falls ranks first with a COL-adjusted equivalent of $173,742/year, better purchasing power than San Jose-Sunnyvale-Santa Clara's higher nominal pay of $173,160. The table below uses BLS OEWS May 2024 salary data and BEA Regional Price Parities.

Highest nominal pay

#1 San Jose-Sunnyvale-Santa Clara$173,160
#2 San Francisco-Oakland-Fremont$166,300
#3 Idaho Falls$164,030

Best purchasing power

#1 Idaho Falls$173,742
#2 San Jose-Sunnyvale-Santa Clara$156,819
#3 San Francisco-Oakland-Fremont$143,846

Top 25 metros by purchasing power

Ranked by COL-adjusted salary. Metros with fewer than 100 employed data scientistss excluded.

Rank
Metro
Nominal
COL-adj.
#1
Idaho Falls
10% rent burden
$164,030
$173,742
#2
$173,160
$156,819
#3
$166,300
$143,846
#4
Bloomington
12% rent burden
$133,340
$142,549
#5
$157,290
$141,537
#6
$131,110
$134,679
#7
$127,770
$132,624
#8
$139,660
$130,694
#9
Springfield
17% rent burden
$123,810
$128,888
#10
Trenton-Princeton
18% rent burden
$130,590
$126,565
#11
$122,440
$124,850
#12
$135,190
$124,164
#13
$123,060
$121,902
#14
$131,830
$121,760
#15
Spokane-Spokane Valley
11% rent burden
$122,170
$121,744
#16
Akron
14% rent burden
$112,310
$120,285
#17
Richmond
17% rent burden
$117,020
$119,579
#18
Lexington Park
18% rent burden
$120,110
$119,204
#19
$123,090
$117,801
#20
$120,840
$117,218
#21
Worcester
21% rent burden
$120,130
$117,177
#22
$129,360
$117,036
#23
Huntsville
15% rent burden
$108,260
$116,321
#24
$130,710
$116,125
#25
$103,200
$115,851

COL-adjusted = nominal salary divided by (BEA RPP divided by 100). Rent burden = annual 2BR FMR as % of nominal salary. Sources: BLS OEWS May 2024, BEA Regional Price Parities, HUD Fair Market Rents.

Common questions

What does "COL-adjusted pay" mean for Data Scientistss?

COL-adjusted pay divides the BLS median salary by the BEA Regional Price Parity index (100 = national average). A salary of $173,160 in a city with RPP 120 has the same purchasing power as $144,300 at national average prices.

Why doesn't New York or San Francisco top this list?

Both cities pay above-average salaries, but rent and everyday costs eat most of that premium. A data scientists in New York might earn 30% more but pay 60-80% more in rent. The net result is often less purchasing power than mid-cost metros.

How is purchasing power calculated?

Purchasing power equals nominal median salary divided by (BEA RPP divided by 100). BEA's Regional Price Parities measure relative price levels across metro areas, updated annually from the National Income and Product Accounts.

What's the most affordable metro for Data Scientistss?

Idaho Falls has one of the lowest rent burdens for Data Scientistss in this dataset. HUD FMR for a 2-bedroom is $1,305/month, with a median salary of $164,030.

Where do Data Scientistss get paid the most in nominal terms?

San Jose-Sunnyvale-Santa Clara pays the highest nominal median salary at $173,160/year, per BLS OEWS May 2024. But check the COL-adjusted column before accepting any relocation offer.

National salary breakdown for Data ScientistssView →How to become a data scientistsGuide →Compare two cities side by sideCompare →