$138,390top of the range in Texas · middle $81,390 / yr
AI is transforming this role
Cartographers in the United States earn a median of $81,390 a year. Pay starts near $53,740. Pay reaches $138,390 at the top of the range in Texas, the best-paying state for this work among those with at least 500 people in the job.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Cartographers and Photogrammetrists, SOC 17-1021). Last checked 9 September 2026.
Entry level
$53,740
Top of the range · Texas
$138,390
Education
Bachelor's degree in Cartography or GIS
Wages — U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025 (Cartographers and Photogrammetrists). Top of the range is the highest state-level figure among states with at least 500 people in the job. AI-impact rating is PayCrunch's editorial assessment. Updated September 2026.
🆕 New & Trending AI Tools for CartographerReviewed September 2026
We track new AI-tool launches every week and refresh this list — here’s what’s gaining traction for Cartographer work right now.
Julius AINEWFree / $20 mo
AI data analyst that runs statistics and charts from plain-language prompts.
How a Cartographer uses it: analyze datasets and generate figures without writing code
NotebookLMNEWFree / $7.99 mo
Google tool that answers questions grounded only in the documents you give it — with citations.
How a Cartographer uses it: load your own manuals, policies, or PDFs and ask questions that stay accurate to the source
ElicitFree / $12 mo
AI research assistant that finds and summarizes papers.
How a Cartographer uses it: run a literature review and extract findings across dozens of papers fast
ConsensusFree / $9 mo
AI search that answers questions from peer-reviewed research.
How a Cartographer uses it: get evidence-backed answers with the studies behind them
SciSpaceFree / paid
AI that explains papers and helps with literature review.
How a Cartographer uses it: decode dense papers and trace citations quickly
SciteFree / $20 mo
Shows whether other studies support or contradict a paper's claims (Smart Citations).
How a Cartographer uses it: check if a finding is actually backed by the wider literature before you cite it
ChatGPTFree / $20 mo
The most-used AI assistant — writing, analysis, research, and images from a plain-language chat.
How a Cartographer uses it: draft emails and documents, summarize long files, and get instant answers to on-the-job questions
ClaudeFree / $20 mo
AI assistant known for careful writing, long-document analysis, and coding.
How a Cartographer uses it: analyze big reports or spreadsheets and turn messy notes into clean, finished writing
Google GeminiFree / $20 mo
Google's AI assistant, built into Gmail, Docs, and Search.
How a Cartographer uses it: draft and reply inside Google Workspace and research without leaving the page
Someone hands you a set of survey points and a shoreline that disagrees with last year's layer, and by the end of the week a planner has to trust the map. Cartography is that trust, built from survey data and geographic data. You turn measurements, imagery, and existing maps into a product someone can read: a city base map, a trail sheet, a flood exhibit, a page in an atlas, a layer inside a larger geographic system. A degree is the usual door. A general licence is uncommon for the cartographer. Some government map work sits beside licensed surveyors, and you should know where their stamp ends and your map begins. The path many people actually walk is technician, then cartographer, then senior.
From control points to a map a stranger can read
The morning is data before it is design. You open a survey deliverable, an aerial or satellite image, a parcel layer, or a field file from a colleague who walked the site. You check the coordinate reference, the date of the source, and the gaps. A road centerline from one agency and a pavement edge from another will not land on top of each other by hope. You reconcile them with a documented choice, and you write down which source won and why. That note is part of the map even when the reader never sees it. When a later editor asks why the bridge moved, you can answer.
Photogrammetry sits in the same occupation's wider title, and some days it is your work. You use overlapping imagery to trace features or to check elevations, following the control the project established. Other days you compile from existing geographic databases: hydrography, place names, contours, land cover. You generalize. A map at a broad scale cannot carry every driveway, and dropping the driveways is a decision, not a loss of patience. You keep the features the user needs for the stated purpose and you suppress the rest so the sheet stays readable. Labels go where they can be found without covering the symbol they name. Color and line hierarchy tell a reader what matters before they read a word.
You deal with surveyors, GIS specialists, engineers, planners, editors, and the public agency or private client who ordered the product. A surveyor may be the licensed professional whose measurement the map depends on. You build the graphic and the database from that measurement and from imagery. You do not invent a boundary to close a visual gap. If the control is thin, you say so on the product in the way your shop requires, and you send the question of a new measurement back to the people who measure. Government mapping offices, engineering firms, environmental consultancies, utilities, and publishers all hire this skill, and the audience changes the design. A utility map and a park brochure can share a shoreline and still look nothing alike.
Software is the bench. You live in geographic information systems, in image tools, and sometimes in page layout when the deliverable is a printed sheet. You manage versions so last Thursday's wetland boundary does not quietly return. You export what the contract names: a geodatabase, a web service, a PDF, a printed run. Field checks still happen. Someone drives to the interchange because the imagery and the survey disagree, and your map waits on what they see. The cartographers who advance are the ones who can explain a visual choice and a data choice in the same meeting without hiding behind the software.
A degree, and the surveyor's stamp next door
Employers expect a degree for this work. Geography, cartography, geomatics, geospatial science, or a closely related field is the usual preparation. Coursework that hiring managers recognize includes map design, geographic information systems, remote sensing, and enough mathematics to understand projections and error. A portfolio of maps you made, with a short note on the sources, often matters as much as the diploma's exact title. Studio projects, a thesis map, or a student collaboration with a local agency all count when you can explain the decisions.
A general licence is uncommon for cartographers. You can be hired to make maps without holding the licence a surveyor holds. The boundary appears when the product is a survey. Some government map work sits beside licensed surveyors: they sign the survey product their licence covers, and you compile, symbolize, and publish the map that uses their data along with other geographic sources. Learn that line at your agency. Offering to "just adjust" a boundary so the exhibit looks closed is outside your role. Asking the surveyor for a revision is the professional move. If your office also employs photogrammetrists, sit with them until you can describe what their compilation does and what it leaves for you to design.
Professional societies and agency training add practice after the degree. They are voluntary development, and they help you meet people who hire. They are a different thing from a licence to practice. Keep transcripts, the portfolio, and any agency training record in one place. When a posting says the role supports licensed survey staff, read it as a collaboration, and be ready to describe how you handle source conflicts. That description gets you further than a list of software names with no map behind them.
Where your signature belongs
Your name belongs on the map design, the source notes, and the compilation you actually did. A licensed surveyor's stamp belongs on the survey product that surveyor is responsible for. Government mapping often puts those two kinds of work on the same team. Knowing the difference is part of being ready for the job.
How mapping offices and firms actually hire
Hiring happens in federal and state mapping programs, county GIS shops, engineering and environmental firms, utilities, defense and intelligence contractors, and publishers of atlases or outdoor maps. Entry postings often say technician, compiler, or cartographic aide. They want the degree, a portfolio, and comfort with the software named in the posting. Read the posting's data types. A shop that lives in parcel data will care that you have edited parcels carefully. A shop that lives in terrain will care that you have drawn contours or hillshade with judgment.
The interview should include a map you can defend. Pick one sheet or one web map. Explain the audience, the sources, what you generalized, and one choice you would revise now. Bring the revision as a sign of taste, not as an apology. Ask who reviews your work, whether licensed surveyors sit on the team, and how source conflicts are recorded. Ask how much of the week is production and how much is design. Some roles are careful digitizing inside a strict specification. Some roles are public-facing maps where hierarchy and type carry the meaning. Both are real cartography. You will be happier if you know which one you are entering.
Government hiring can be slow and formal. Private firms can be fast and project-based. Either way, a portfolio link that opens, with files named so a stranger can tell the maps apart, beats a single crowded page of every style you have ever tried. Three strong pieces are enough: one reference map, one thematic map, and one product that shows you can handle someone else's data without breaking it. If a piece used a classmate's analysis, say so. Credit is part of the craft.
Technician, cartographer, senior
The path is technician, cartographer, senior. Technician work is compilation under a specification: tracing features, attaching attributes, running the checks the lead listed, and fixing what the check catches. You learn the shop's data rules and you learn to see. Cartographer means you own more of the design and the source decisions. You plan the sheet or the service, you choose what the reader meets first, and you review other people's compilation. Senior means you set the specification, you mentor, you talk to the client about what the map can and cannot claim, and you are the person called when a published error has to be corrected in public.
Some seniors move toward project management, some toward a specialty such as terrain, nautical charting, or thematic atlases, and some stay the best compiler in the office because that is the work they want. A move into a surveying licence is a different profession with its own requirements, and it is optional. You can have a full career on the map side of the team. If you want the licence, treat it as a separate plan with the board in your state, and keep making maps while you pursue it. Do not pause the portfolio for a credential the cartography postings never asked for.
Promotions inside mapping units follow the maps you can show and the errors you prevented. Keep a private record of products, your role on each, and the review comments that changed your mind. When a senior seat opens, that record is the conversation. When you apply outside, it becomes the portfolio update. Ask what the senior role pays compared with the national median and with your state's median on this page, and ask what production load remains. A title that is only meetings will frustrate you if the reason you chose this field is the map itself.
Texas holds the upper figure; California holds a high typical wage
The Bureau of Labor Statistics calls this series Cartographers and Photogrammetrists, SOC 17-1021, inside Occupational Employment and Wage Statistics, released for May 2025. The employment count is 14,260. Pay near the start of the published range is $53,740, and the middle of the national picture is $81,390, a difference of $27,650. Texas is where the upper published pay is listed, at $138,390, for a state with enough people in the work for that end of the range to appear. $81,390 and $138,390 are $57,000 apart.
Typical state pay is charted separately. California's median is $102,780, and that median sits $21,390 above the national median. Washington's median is $96,100. Oregon's is $88,240. Colorado's is $86,960. Virginia's is $86,660. If you map in California, $102,780 is the ordinary comparison. Texas at $138,390 is an upper published figure for Texas, and it answers a different question than a state median. Using the Texas high end as a substitute for typical pay in Oregon or Virginia will make your ask sound unanchored.
A technician looking at an offer near $53,740 can cite the $27,650 between entry and $81,390 and ask what independent compilation, review duty, and a stronger portfolio do to the step. A cartographer already owning sheet design can treat $81,390 as the national midpoint and can put California's or Washington's median on the table if that is the state of the job. The $57,000 span from the median to $138,390 is the distance up to Texas's published high end. It belongs in a conversation about senior responsibility in a high-pay market. It is a poor citation for a first compiler role. Name your state, name whether you are compiling under a spec or signing the design, and locate the offer between $53,740 and $81,390 before you reach for $138,390.
Federal, state, and private employers structure pay differently, and these annual figures still give you a shared reference in the room. If a posting quotes a range, see whether the bottom resembles $53,740, whether the middle resembles $81,390 or your state's median, and whether anyone is quietly borrowing $138,390 for a job that does not include senior review. You can say, calmly, which of those figures matches the work described. The series covers cartographers and photogrammetrists together, so say which of those tasks you are offering to do.
Bring one map and the note about its sources
The change into this field is convincing when you can show a map and narrate the data. Here is the audience. Here is the survey source. Here is the image source. Here is what I dropped so the sheet would read. Here is the line I refused to draw because the control was missing. That story tells an engineering firm and a public agency the same useful thing: you will not decorate uncertainty.
Get the degree, build the portfolio, take the technician seat, and grow into the cartographer who can defend a design. Keep the surveyor's licence in its own lane when the product needs it. When you talk pay, stay with $53,740, $81,390, and $138,390 in Texas, and use the state medians when you mean what is typical where the office sits. A map is a claim about the world. People who want a career of careful claims tend to like the work once the software stops being the interesting part.
The top of Cartographer pay — and how to get there with AI
$138,390what Cartographer pay reaches in Texas
Highest state-level top-of-range annual wage for Cartographers and Photogrammetrists, among states with at least 500 people in the job. U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.
And the role it leads to — Computer Occupations, All Other — reaches $222,690 in California.
$53,740entry$81,390middle$138,390top end
Cartographers who reach the top of the range stopped being measured in maps finished and started being measured in what the whole production line can turn out.
Compiling aerial photographs, survey notes, and satellite imagery, delineating control points, hydrography, and topography, then inspecting the final composition for completeness and accuracy — much of that repeats identically across a map series, and repeats are scriptable. The people who benefit are the ones who timed the work first, so the saving is a figure rather than an impression. That figure is what you exchange for scope: the boundary and legal-records work, the production specification, the imagery contracts. Nobody hands those over on the strength of enthusiasm.
Your playbook, by where you are now
Just startingTime the work before you change it
Log how long each map takes by phase: compiling source data, delineating detail, laying out, and checking the final composition.
Write down every error the check catches, and whether it came from the source data or from your own hand.
Learn scripting against ESRI ArcGIS software well enough to apply a projection change or a symbology update across an entire series at once.
Use GitHub Copilot while writing those scripts, but run each against a copy and compare the output against a map you produced by hand.
Learn the geodetic side properly — scaling and orienting points, elevations, planimetric and topographic features — because a fast wrong map is worthless.
What proves it: A phase-by-phase time log, and one script producing output identical to what you used to draw by hand.
Realistic span: the first year in the role
A few years inTrade the saved hours for a bigger brief
Automate the checks first — completeness, missing attributes, scale and projection mismatches — so inspecting a final composition takes minutes rather than a morning.
Standardise output through Adobe Illustrator and Adobe InDesign templates keyed to your production specification, so size, projection, and colour are never decided twice.
Take the boundary work, since studying legal records to establish property lines is slow, contested, and the last thing an employer would automate away.
Write a short quarterly memo with the hours before, the hours after, and what you intend to do with the difference, then ask for the responsibility rather than the compliment.
Handle aerial and satellite ingest yourself, including the aerotriangulation adjustment step most people hand to somebody else.
What proves it: A memo showing hours returned, and a new responsibility granted because of it.
Realistic span: years two to five
ExperiencedRun the production line
Set the organisation's specification for map content and layout, and make it the standard production is checked against.
Build the pipeline that carries data from ground survey and remote sensing through to a checked, printable composition, documented well enough to outlast you.
Learn enough software engineering to sit with developers as a peer, which is the route from mapping into the wider computing roles.
Manage the imagery contracts and outside contractors instead of only working with whatever arrives.
Weigh the markets that fund geospatial work heavily; Massachusetts is where this work tends to be priced highest, because the research and defence buyers sit there.
What proves it: A documented production pipeline the organisation depends on, and a specification carrying your name.
Realistic span: six years and beyond
The next 90 days
Choose the map product you make most often and time three of them end to end, phase by phase, with a stopwatch and a notebook. Then take the dullest phase — usually the checking of a final composition, or the reprojection and relabelling of a series — and script it once. Compare the new timing against the old on the next three. Ninety days from now you will hold two numbers and a working script, and that is a different conversation from asking for more interesting work. Ask for the boundary or specification responsibility specifically, and name what you will do with the hours.
Wage figures: BLS OEWS, May 2025. The playbook is PayCrunch editorial guidance, not a guarantee of pay or placement.
Every figure is the national median from the U.S. Bureau of Labor Statistics (OEWS) shown on that role’s own page.
Never used AI before? Start here (2 minutes).
Open QGIS first if you don't already have ArcGIS Pro. It's free, professional-grade, and scriptable in Python (PyQGIS), which is where AI leverage lives for a cartographer — you can automate repetitive editing, batch-process data, and run deep-learning feature extraction. If you have ArcGIS Pro, turn on its deep-learning and Imagery tools.
Use Claude or ChatGPT to write and debug your Python and PyQGIS scripts, and experiment with Segment Anything (SAM) for extracting features from imagery. Keep sensitive or licensed data inside approved systems, not public tools.
The one rule, forever: AI-extracted features are a draft, not ground truth — every automated building, road, or boundary must be checked for positional accuracy, correct projection/datum, and topology before it ships, because a confident wrong line propagates into every downstream decision. Handle sensitive or classified location data under its rules, cite your data sources and licenses, and never let automation hide an accuracy problem.
The plays — exact steps, exact prompts
Do these in order. Each one is copy-paste ready. You do not need to know anything about AI going in.
1
Automate feature extraction from imagery with deep learning
Why this pays: Digitizing buildings, roads, and land cover by hand is the slowest, most expensive part of map production. A cartographer who extracts features automatically — and validates them — produces finished data at a fraction of the time, which is exactly the leverage that commands senior, pay at the top of the range.
ArcGIS Pro (Deep Learning)Segment Anything (SAM)QGIS
1
Run ArcGIS Pro's deep-learning feature-extraction (or SAM in a QGIS/Python workflow) to auto-extract building footprints or road centerlines from imagery, then edit and validate the output against reference data.
2
Script the post-extraction cleanup so the AI output becomes production-ready data.
Copy-paste this prompt
Write a Python (arcpy or geopandas) script that takes AI-extracted building-footprint polygons and cleans them for production: remove slivers below [10 sq m], simplify geometry with a [0.5 m] tolerance, square up near-rectangular buildings, fix self-intersections and topology errors, and flag polygons that overlap roads for manual review. Comment each step.
Automated extraction misplaces and merges features. Always validate positional accuracy and topology against ground control or reference layers before delivery.
What you'll haveFinished, validated feature data produced in a fraction of the hand-digitizing time — the throughput behind senior cartographer pay.
2
Automate the repetitive pipeline with Python
Why this pays: The cartographer who scripts data prep, projection, symbolization, and export stops being paid by the tedious hour and starts delivering whole workflows. Automation turns a slow manual craft into a scalable service — the difference that pushes rates toward the top of the range.
Python (geopandas / arcpy)ClaudeQGIS (PyQGIS)
1
Use Claude to write a PyQGIS or arcpy script that automates a repetitive task — batch reprojecting, clipping to tiles, or generating standardized map exports — then run and verify it.
2
Build a reusable batch tool for a task you do constantly.
Copy-paste this prompt
Write a PyQGIS script that batch-produces map sheets: for each polygon in a grid layer, zoom a print layout to that tile, apply a consistent style, add a scale bar and north arrow, and export a georeferenced PDF and GeoTIFF named by the tile ID. Note where to set the CRS and DPI, and comment the steps so I can adapt it.
Confirm the coordinate reference system and datum in the script match your data — a wrong CRS silently shifts every feature. Spot-check exported sheets.
What you'll haveWhole workflows delivered instead of billed-by-the-hour edits — scalable output that raises what you can charge.
3
Detect change and monitor at scale from satellite data
Why this pays: Change detection — new construction, deforestation, disaster damage, urban growth — is premium, recurring work for planning, defense, and environmental clients. A cartographer who can stand up an automated monitoring pipeline owns a high-value, repeatable revenue stream.
Google Earth EngineQGISSentinel-2 / Landsat imagery
1
In Google Earth Engine, build a change-detection workflow over an area of interest, then bring the results into QGIS for cartographic finishing and reporting.
2
Generate the change-detection code and validate the flagged changes.
Copy-paste this prompt
Write a Google Earth Engine script to detect land-cover change between [2024] and [2026] over a boundary I define: build cloud-free seasonal composites from Sentinel-2, compute a change index (e.g., NDVI difference and a simple classification), threshold to flag likely change polygons, and export them with an area summary. Explain how to reduce false positives from seasonal and atmospheric effects.
Change detection is prone to false positives from clouds, shadows, and seasonality. Validate flagged areas against higher-resolution imagery before reporting change.
What you'll haveAn automated monitoring product that clients pay for on a recurring basis — a repeatable high-value revenue stream.
4
Automate label placement and cartographic design
Why this pays: Label placement and consistent styling eat hours on every map. Automating them frees you to focus on the design judgment clients actually pay a premium for — clarity, hierarchy, and correctness — while shipping more maps.
ArcGIS Pro (Maplex)ClaudeQGIS
1
Configure rule-based labeling (Maplex in ArcGIS or QGIS's labeling engine) and let it resolve most placements automatically, then hand-fix the few conflicts that matter for readability.
2
Use AI to pressure-test your map's design and accessibility before it ships.
Copy-paste this prompt
Act as a senior cartographic editor. I'll describe a [transit map] I'm designing: purpose, audience, key features, and my current color and type choices [DESCRIBE]. Critique it for visual hierarchy, figure-ground, color-blind accessibility, label legibility at [target scale], and correctness conventions (scale bar, projection note, source). Give specific, prioritized fixes.
AI critique is a checklist, not a substitute for your eye. Verify accessibility with an actual color-blind simulator and confirm every map element is correct.
What you'll haveCleaner maps produced faster, with your hours spent on the design judgment that commands premium rates.
5
Build interactive web maps and dashboards
Why this pays: Static maps are commoditized; interactive web maps and dashboards that clients can explore are not. A cartographer who can ship a live, data-driven map raises the value and price of every engagement and opens ongoing maintenance revenue.
MapboxFeltClaude
1
Turn a dataset into an interactive web map in Mapbox or Felt, using Claude to write the styling and interaction code.
2
Generate a working web-map starter you can customize.
Copy-paste this prompt
Write a complete, single-file HTML page using Mapbox GL JS that loads a GeoJSON of [points with a category and value field], styles them by category color and scales marker size by value, adds a legend and a popup on click showing the attributes, and includes a category filter control. Comment where I paste my access token and data URL.
Never hard-code a private access token into public-facing code, and confirm the licensing of any basemap or data you publish.
What you'll haveInteractive, data-driven map products that raise your engagement value and create ongoing maintenance income.
Your 12-month sequence to the top of the range
How the plays above stack into a path from median pay toward the $138,390 tier.
Month 1
Set up QGIS or ArcGIS Pro with Python, and use Claude to script one repetitive task you do weekly, verifying the CRS and output.
Months 2-3
Run AI feature extraction on a real project and build a validation-and-cleanup script so the output is production-grade.
Months 3-6
Stand up a change-detection or monitoring workflow in Google Earth Engine and add automated labeling to your map production.
Months 6-12
Ship an interactive web map or dashboard for a client and package your automated pipeline into a repeatable, higher-priced service.
Gear for this job
As an Amazon Associate, PayCrunch earns from qualifying purchases. Links to books and tools are for the job on this page; we only recommend what we’d use in the work.
Same live Bolstad 7th already on gis-analyst / forest-ranger (ASIN 0971764751). This leftover page’s education line is Bachelor's degree in Cartography or GIS; Just starting is Learn scripting against ESRI ArcGIS software well enough to apply a projection change or a symbology update; play 2 is Automate the repetitive pipeline with Python (data prep, projection, symbolization). GIS fundamentals text for leftover ArcGIS / projection / symbology work — not leftover GISP as a card. Confirm 0971764751. Live page HTTP 200, no PC_GEAR / amazon.com/dp / tag=paycrunch-20 at 2026-09-17 6:49 PM PT.
Next steps for a Cartographer
Some links below are affiliate or partner links. PayCrunch may earn a commission if you enroll or subscribe through them, at no extra cost to you. Wage figures on this page still come from the Bureau of Labor Statistics, not from these programs.
Cartographer work is specific enough that a stamped 'check out these courses' block would be noise. BLS files this work as Cartographers and Photogrammetrists (SOC 17-1021). O*NET Job Zone 4 is typical: a bachelor's degree, so the honest next credential is a professional certificate or bachelor's-level coursework — not a random catalog dump.
The occupation's listed knowledge areas include Geography and Design; the links search those subjects, not a generic 'career courses' list.
Cartographers in this dataset list Adobe InDesign among the tools in use, so a program that names that stack is a better fit than a survey course.
Coursera search for geography — a professional certificate or bachelor's-level coursework that lines up with engineering, not a generic professional-development aisle.
FlexJobs screens remote, hybrid, freelance, and flexible listings so you are not wading through unverified ads. This is a job-board search for Cartographer work, not a claim that they list a counted SOC 17-1021 inventory.
Write a Cartographer resume, or one aimed at Computer Occupations, All Other, instead of a blank template. Resume Now is a resume builder; we are not claiming a counted template set for this SOC.
A Cartographer resume that names the actual tasks on this page, or the step-up title Computer Occupations, All Other, beats a blank template when you apply.
What Cartographers earn by state
These are the Bureau of Labor Statistics’ own figures for Cartographers and Photogrammetrists, state by state — not a cost-of-living adjustment applied to the national number. Only states employing at least 500 people in the occupation are shown, because a state median drawn from a handful of workers is noise rather than a signal.
California
$102,780
highest of them · +26% vs the national median
Texas
$73,970
lowest of the 8 states that qualify · -9% vs the national median
The same job pays $28,810 more a year at the median in California than in Texas — 39% higher. That gap is what the Bureau measured, before any question of what it costs to live in either place. The top-of-range figure quoted at the head of this page, $138,390, is a different statistic in a different place: it is the 90th-percentile wage in Texas. The state that pays the typical worker most and the state where the best-paid go highest are not always the same one.
Source: U.S. Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025, SOC 17-1021. 8 states clear the 500-employee reporting floor for this occupation; those below it are left out rather than shown with a wide error band.
Free data. Use any of it.
PayCrunch publishes verified, BLS-sourced salary + AI-playbook data on 1,000+ professions — free, no signup.
It's automating the manual parts — digitizing and basic drafting — but not the profession. AI still can't decide what a map is for, guarantee positional accuracy, catch a datum or projection error, or make the design judgments that make a map usable. Cartographers who master automation and own accuracy and design produce far more and are more valuable; those who only hand-digitize are most exposed.
Can I trust AI-extracted features from imagery?
Only after validation. Deep-learning extraction misplaces, merges, and hallucinates features, and its accuracy varies with imagery quality and terrain. Treat every automated footprint or centerline as a draft, and verify positional accuracy, topology, and projection against ground control or reference data before it ships.
Do I need to learn Python to stay competitive?
Increasingly, yes — and it's very approachable now. Python (PyQGIS, arcpy, geopandas) is where the automation leverage is, and tools like Claude will write and explain the scripts so you can run real workflows while you learn. Even basic scripting to batch repetitive tasks meaningfully raises your output and value.
How does AI actually increase a cartographer's pay?
By turning slow manual production into scalable, automated workflows and premium products. Automated feature extraction and pipeline scripting multiply your throughput, and change-detection monitoring and interactive web maps are higher-value services than static maps. You move from billing hours to delivering systems — where the pay at the top of the range is.
Is it safe to put location data into AI tools?
Not sensitive, classified, or licensed data. Use general AI tools to write code and to reason about generic, public data, but keep restricted location data inside approved, access-controlled systems. Always respect data licenses and cite sources on published maps.
Methodology & sources
Salary (median, 10th, top of the range) — U.S. Bureau of Labor Statistics, OEWS.
By state — the Bureau of Labor Statistics’ own state medians, limited to states employing at least 500 people in the occupation. No cost-of-living arithmetic is applied to a wage anywhere on this page.
The plays — PayCrunch's own step-by-step guidance using publicly available AI tools. Tool names/URLs are real and current as of August 2026; prompts written to work as-is. Verify any professional output before relying on it.