Map electricity access as a rate, not a population ranking

The direct answer

Use the population share with access to electricity for a regional intensity comparison. A map of estimated people without access answers a different question and tends to highlight more populous countries. Keep the denominator visible.

Prepare the observation table

Join electricity_access_pct with population for 2023. Calculate estimated_without_access = population × (1 − access_pct / 100). In the choropleth map use iso3 and electricity_access_pct; use a separate ranked bar chart for the estimated count.

Public dataset and a reproducible example

The download is a prepared extract, not a live data connection. The source links below include the original query, observation period and reuse policy. Keep an original copy when you update the data; revised source values can change the result.

World Bank WDI values retain the indicator units and country-year definitions. Derived counts and indexes are Datamon tutorial calculations, not new official World Bank statistics.

Snapshot retrieved: 2026-10-26. Prepared rows: 10.

Download the prepared CSV Download the reference SVG

First five rows from the prepared public-data extract; blank cells remain missing.

iso3	country	year	electricity_access_pct	estimated_without_access
CHN	China	2023	100	0
DEU	Germany	2023	100	0
IDN	Indonesia	2023	99.4	1687140
IND	India	2023	99.5	7190348
JPN	Japan	2023	100	0

Build it in Datamon

Sign in with Google to create an editable visualization. Public articles and examples can be read without an account. The prepared CSV already contains the joins, filters or aggregations described above; do those steps in a spreadsheet first when using your own data.

Open Data and choose a file, or paste the table with its header row. Check the detected numeric columns, decimal separator and dates. The current importer accepts files below 20 MB; these examples are smaller. Keep blanks distinct from recorded zeros.
In Visualize, select Choropleth map. Connect the roles exactly as listed below. Review the preview against at least two rows in the example table rather than relying only on automatic mapping.
In Refine, add a title that states the question, the unit, observation period and source. Check labels and contrast at the size your reader will see. Keep a table when exact values matter.
Use the export controls for SVG, PNG, PDF or PowerPoint, then inspect the actual file. Save an editable project backup. Publish only after checking the underlying values: a public link makes the published data available to anyone possessing the URL.

Calculation and column mapping

The rule below is pseudocode. The downloadable CSV already contains the prepared values; spreadsheet functions and cell references depend on your sheet layout.

estimated_without_access = population * (1 - electricity_access_pct / 100)

Region: iso3
Value: electricity_access_pct

Read the result

The preview maps 10 source records; unselected countries are not zero values.

Use the preview to check the structure and the CSV to check exact values. Its styling is a reference; your Datamon rendering can look different. Follow the mapping and preparation above to reproduce the analytical meaning.

Mistakes that change the meaning

Access to electricity does not measure hours of service, affordability or reliability. A 100% access rate does not prove uninterrupted supply. Estimated counts inherit the rate’s precision and should not be rounded into claims about individual households.

Questions before sharing

Do these calculations require an AI service?

No. The prepared CSV and reference calculation are deterministic. Optional AI can help draft an explanation when configured, but it does not replace checking source values or choosing a valid comparison.

Can I use this example with my own spreadsheet?

Yes. Keep the same observation unit, column types and calculation. Replace the source attribution and time period, recompute derived columns, then compare several output values with your original sheet before sharing.

What is free and what needs an account?

Reading this guide and downloading its CSV and chart images are free. Datamon currently has no paid checkout or subscription plans in this deployment. Creating and saving an editable visualization requires Google sign-in. Provider-backed AI, cloud analysis, publishing and video depend on configured services; this guide does not promise unlimited free connected services.

Sources and further reading

Report a correction or an access barrier: Email the editorial contact.

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