Geospatial Data Science Salary
$22K - $31K
1% of jobs
$31K - $40K
3% of jobs
$40K - $49K
8% of jobs
$55.2K is the 25th percentile. Wages below this are outliers.
$49K - $58K
20% of jobs
The median wage is $65.5K / yr.
$58K - $67K
23% of jobs
$67K - $76K
18% of jobs
$78.3K is the 75th percentile. Wages above this are outliers.
$76K - $85K
14% of jobs
$85K - $94K
2% of jobs
$94K - $103K
2% of jobs
$103K - $112K
5% of jobs
$112K - $121K
5% of jobs
$22K
$66.5K
$122K
$77,494
/year
$37.26
/hour
Geospatial Data Science Salary Comparison by Location
Nationwide
United States
$77,494
Columbus
Ohio
$74,852
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How much does a Geospatial Data Science make?
As of Jun 14, 2026, the average annual pay for a Geospatial Data Science in the United States is $77,494 a year.
Just in case you need a simple salary calculator, that works out to be approximately $37.26 an hour. This is the equivalent of $1,490/week or $6,457/month.
While ZipRecruiter is seeing annual salaries as high as $122,000 and as low as $22,000, the majority of Geospatial Data Science salaries currently range between $54,500 (25th percentile) to $80,000 (75th percentile) with top earners (90th percentile) making $112,000 annually across the United States. The average pay range for a Geospatial Data Science varies greatly (by as much as 25500), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
A Geospatial Data Science in your area makes on average $74,852 per year, or $2,642 (3.409%) less than the national average annual salary of $77,494. Ohio ranks number 30 out of 50 states nationwide for Geospatial Data Science salaries.
To estimate the most accurate annual salary range for Geospatial Data Science jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Geospatial Data Science on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Geospatial Data Science Jobs
We've identified 10 cities where the typical salary for a Geospatial Data Science job is above the national average. Topping the list is Greenwich, KS, , with Pennington County, SD, and Sheldon, MO, close behind in the second and third positions. Sheldon, MO, beats the national average by $16,963 (21.9%), and Greenwich, KS, furthers that trend with another $19,083 (24.6%) above the $77,494 average.
With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a Geospatial Data Science appears to be exceedingly fruitful.
Finally, another factor to consider is the average salary for these top 10 cities varies very little at 4% between Greenwich, KS, and Sorento, IL, , reinforcing the limited potential for much wage advancement. The possibility of a lower cost of living may be the best factor to use when considering location and salary for a Geospatial Data Science role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Greenwich, KS | $96,577 | $46.43 |
Pennington County, SD | $95,596 | $45.96 |
Sheldon, MO | $94,457 | $45.41 |
Ashland, NE | $94,050 | $45.22 |
Beverly, MA | $93,832 | $45.11 |
Sitka, AK | $93,356 | $44.88 |
Woodbine, IA | $92,661 | $44.55 |
Wahoo, NE | $92,635 | $44.54 |
Kechi, KS | $92,499 | $44.47 |
Sorento, IL | $92,214 | $44.33 |
What are Top 0 Best Paying Related Geospatial Data Science Jobs in the U.S.
Analyzing some similar jobs related to the Geospatial Data Science job category, we found that related job jobs have average salaries similar than Geospatial Data Science jobs.
Job Title | Annual Salary | Hourly Wage |
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About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
