Household internet access bands: 50.0–59.9%; 60.0–69.9%; 70.0–74.9%; 75.0–79.9%; 80.0% and above. Darker teal means a larger percentage of households.
View full-size exportCHOROPLETH MAP MAKER / CSV TO MAP
Choropleth
Map Maker
Turn a table into a geographic story. Import CSV data, match geographic regions, classify numerical values, customize your map and export a PNG.
Free browser-based editor · Export a high-resolution PNG
03 / ACTUAL MAPSCULPT EXPORT
Income bands in MXN per household per quarter: 40,000–59,999; 60,000–74,999; 75,000–89,999; 90,000–104,999; 105,000 and above. Darker blue means higher income. These are visualization ranges, not official INEGI classifications.
Inspect full-size output01 / YOUR INPUT
income-import.csv
32 rows · RegionCode + Value
RegionCode,Value
MX-CHP,41084
MX-CMX,110685
MX-NLE,117034Three real rows from the complete, verified 32-row CSV.
Download complete sample CSV (32 rows)Download the file, then import it in the Mexico editor. Opening the editor does not preload this dataset.
02 / MATCH & CLASSIFY
32 of 32 entities matched.
ISO/editor codes keep Mexico City (MX-CMX) distinct from the State of Mexico (MX-MEX).
5 custom bands
MXN per household per quarter
- MX$40,000–59,999
- MX$60,000–74,999
- MX$75,000–89,999
- MX$90,000–104,999
- MX$105,000+
Custom range boundaries: 40,000; 60,000; 75,000; 90,000; 105,000; 120,000. Review matches, choose these breaks, then apply the data.
32 matched entitiesOne metric: quarterly household incomeSource: INEGI ENIGH 2024
01 / READ THE MAP
Let the values do the talking.
A choropleth uses colors or shades to show values across defined areas. It is useful for regional comparisons of income, rates, percentages and change over time.
Here, Nuevo León is MX$117,034 per household per quarter; Chiapas is MX$41,084. The national reference is MX$77,864. These are average quarterly current household incomes, including monetary and nonmonetary income, in pesos of 2024 — not monthly wages, median income or income per capita.
The five bands are visualization choices. Keep the period, units and method visible.
MAKE IT YOURS
From an idea to a finished map.
- 01
Choose your geography
Open a supported map whose boundaries match your data.
- 02
Prepare and import a CSV
Export Excel or Google Sheets as CSV. Open Import CSV in the editor and choose your file.
- 03
Review every match
Select the Region column. Resolve unmatched or ambiguous identifiers and duplicate assignments before applying.
- 04
Classify deliberately
Select the Value column and Numerical or Categorical. For numbers, choose Equal intervals, Quantiles or Custom ranges and a suitable palette.
- 05
Add context and export
Review the preview and apply. Edit the title, subtitle, legend and source, then download your PNG.
CSV import availability depends on the editor’s current release settings. The landing page does not upload or import files.
02 / DIFFERENT QUESTIONS, DIFFERENT MAPS
Choose the metric before the palette.
An age profile across borders.
Share of residents aged 65 or over on 1 January 2025 across all 68 selectable Nordic areas. Five quantile bands.
- < 19.09%
- 19.09 – <21.58%
- 21.58 – <23.99%
- 23.99 – <26.34%
- ≥ 26.34%
Eurostat demo_r_pjanaggr3 · Statistics Iceland MAN03250 · 1 January 2025
03 / PRACTICAL DATA GUIDANCE
Make the comparison fair.
Match the geography
Use one header row, a region name or supported code column, and a value column. Keep one observation per region. Mexico City (MX-CMX) and the State of Mexico (MX-MEX) are distinct. The selected template determines which areas can match.
Keep missing data distinct
Missing is not zero. Resolve unmatched identifiers and invalid values in the import review. Use an explicit no-data treatment rather than inventing values; check the preview and coverage before applying.
Choose the right measure
Totals show scale; rates and shares support comparisons between differently sized populations. State the denominator. A percentage is a share out of 100, not a count. Compare equivalent years, units and geographic levels.
Use a meaningful scale
Equal intervals use ranges of equal width. Quantiles aim for similar numbers of regions; tied values stay together. Custom ranges use ordered boundaries covering every usable value. Sequential palettes suit low-to-high values; categorical colors distinguish groups rather than magnitude.
Numbers or categories?
Choose Numerical to group values into ranges. Categorical treats each distinct value as its own category. Import CSV files; save Excel .xlsx and Google Sheets spreadsheets as CSV first.
Credit the original source
Include the measure, unit, year and original dataset. These sample bands are visualization choices, not official INEGI classifications. Share original maps with source attribution and follow community rules.
Use the same input as this example.
Download all 32 observations. Keep RegionCode as text and Value numeric. The national average is context, not a 33rd region. To reproduce the example, set the five custom ranges above and the matching blue colors; importing a CSV alone does not recreate its editorial styling.
Download Mexico income CSV · 32 rowsCHOOSE YOUR MAP
Give your data a geography.
Open an editor, then import data for that map’s actual boundaries. Examples do not preload a dataset.
Mexico States
32 federal entities · use the sample CSV
Open Mexico StatesNordic Regions
68 selectable geographic identities
Open Nordic RegionsUS States
50 states, including Alaska and Hawaii
Open US StatesUS Counties
County-level comparisons with supported GEOIDs
Open US CountiesWorld
Compare supported countries and territories
Open WorldEurope
Compare the supported European map identities
Open EuropeKEEP EXPLORING
Your next map, connected.
FREQUENTLY ASKED QUESTIONS
Choropleth questions, answered.
What is a choropleth map?
A choropleth map uses colors or shades to show values or categories across defined geographic areas, such as countries or states.
How do I make a choropleth map online?
Choose a MapSculpt geographic template, prepare your CSV, import it in the editor and customize the colors, legend and download.
Can I create a map from Excel data?
Yes. Export your Excel or Google Sheets data as a CSV file, then import that CSV in MapSculpt.
Can I upload a CSV to create a map?
Yes. MapSculpt has an existing CSV import workflow for assigning data to supported geographic areas.
Can I customize the colors and legend?
Yes. Adjust categories, colors and explanatory labels to communicate your dataset clearly.
Which countries and regions can I map?
Choose from MapSculpt's supported world, continental and national or regional templates; availability varies by map.
Can I download my choropleth map?
Yes. Download a high-quality PNG with your chosen colors, legend, title and source.
Is MapSculpt free to use?
Yes. You can create and download maps with the free browser-based MapSculpt editor.
Can I share maps on r/MapPorn, r/dataisbeautiful, r/europe and other Reddit communities/subreddits?
Yes. Export your original map for sharing, and follow each community’s rules on sources, attribution and submissions.
YOUR NEXT MAP STARTS HERE
Your data has a place.
Choose a geography. Review your matches. Make the pattern visible.