South America’s Urban Shift
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
- South America
- Dataset
- 12 mapped places · Numeric values
- Rendering
- Continuous color scale
Includes: 2 selectable variables · map/table toggle · 3 summary stats
Data you need
- One row per mapped place using the identifiers in this sample.
- Comparable values with clear units and observation dates.
- Empty cells for unavailable values rather than invented zeroes.
- A source and a short note for definitions or limitations.
How to make a similar map
- Choose “Modify this example” to keep its geography and working configuration.
- Replace the values or import the companion CSV and confirm the place matches.
- Choose the variable that opens first, then check colors, missing values, and the linked table.
- Review the source note before sharing or exporting.
Try this map style with
These datasets can use the same geography and visual setup.
- Internet adoption since 2000
- Access to safely managed water
- Employment moving from agriculture to services
Source and limitations
World Bank, World Development Indicators: Urban population (% of total population), indicator SP.URB.TOTL.IN.ZS.
World Bank and UN Population Division estimates. National definitions of urban areas differ. Change is calculated in percentage points from unrounded values.