Africa’s Urban–Rural Electricity Divide
Make this example your own
Start with this working configuration
Keep the geography and setup, then replace the values or adjust the styling.
- Map
- Bivariate choropleth
- Geography
- Africa
- Dataset
- 54 mapped places · Numeric values
- Rendering
- Continuous color scale
Includes: 3 selectable variables · linked side table · 3 summary stats
Data you need
- One row per country with ISO country codes.
- Two comparable numeric percentages for the same year.
- Source, observation year and consistent definitions.
- Keep unavailable observations empty rather than replacing them with zero.
How to make a similar map
- Modify this example to keep its Africa geography and bivariate map setup.
- Replace the rural and urban columns with two related measures.
- Choose quantiles for balanced class counts or equal intervals for a fixed numeric scale.
- Use the linked table for exact comparisons and test all nine legend combinations.
Try this map style with
These datasets can use the same geography and visual setup.
- Clean cooking access in urban and rural areas
- Female and male school enrollment
- Fixed and mobile internet access
Source and limitations
UN Global SDG Database, indicator 7.1.1 (EG_ACS_ELEC); World Bank. 2023 observations, retrieved 7 September 2026.
Access does not measure reliability, affordability or hours of supply. Urban/rural definitions vary by country. UN observations may be modeled or estimated. Some small island countries are absent from the simplified map geometry. Colors rescale for each variable; compare exact percentages in the table.