Brazil’s Population Change, 2010–2022
Make this example your own
Start with this working configuration
Keep the geography and setup, then replace the values or adjust the styling.
- Map
- Change map
- Geography
- Brazil
- Dataset
- 27 mapped places · Numeric values
- Rendering
- Quantile color classes
Includes: 3 selectable variables · pattern fills · linked side table
Data you need
- A place or boundary identifier that matches Brazil.
- A comparable rate, percentage, category, or normalized value for each area.
- A meaningful color direction or midpoint that matches the subject of the data.
- A title, units, source, and short note explaining definitions or limitations.
How to make a similar map
- Prepare one row per mapped place and match it to Brazil; use stable geographic codes when available.
- Upload the CSV and confirm the location and value fields in Data check. Remove duplicates or unmatched rows before continuing.
- Include the related value columns, give each series a clear viewer label and units, and choose the series that opens first.
- Choose a choropleth and start with a diverging scale centered on zero; adjust the palette only if its direction supports the meaning of the values.
- Add labels, stat cards, and source notes only where they aid interpretation. Keep the interactive table beside the map for lookup and selection.
Try this map style with
These datasets can use the same geography and visual setup.
- Agricultural output across census years
- Forest cover and annual change
- State GDP totals and growth rate
Source and limitations
IBGE, 2022 Population Census: Population and households — First results.
Annual average geometric growth covers 2010 to 2022.