Compare population growth with a 2000 = 100 index

Divide each country’s population by its own 2000 population and multiply by 100.

Compare population growth with a 2000 = 100 index. Explore the public-data example; methods and data notes are below.
Explore the public-data example; methods and data notes are below.Download chart SVG

The direct answer

Divide each country’s population by its own 2000 population and multiply by 100. This puts differently sized countries on a common growth scale. An index of 120 means population is 20% above that country’s base, not 120 million people.

Prepare the observation table

Select a nonmissing, positive 2000 baseline for every country and retain the original population file. Calculate the index before import. Use year as X and the country index columns as Y. Keep 2000 visible so readers can see the shared starting point.

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: 24.

Download the prepared CSVDownload the reference SVG

First five rows from the prepared public-data extract; blank cells remain missing.
yearCHNDEUIDNINDJPNKORPHLSGPUSAVNM
2000100100100100100100100100100100
2001100.729100.1684101.3977101.8882100.2412100.7702102.2306102.7341100.9947101.0568
2002101.4062100.3369102.7817103.7505100.4746101.3543104.3246103.6759101.936102.0974
2003102.0398100.3925104.1514105.5656100.6898101.881106.4131102.1584102.8159103.1233
2004102.6476100.3707105.4836107.3794100.7237102.2856108.5012103.4454103.7719104.1281

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.

  1. 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.
  2. In Visualize, select Line chart. 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.
  3. 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.
  4. 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.

index = population[year] / population[2000] * 100
X
year
Y
CHN, DEU, IDN, IND, JPN, KOR, PHL, SGP, USA, VNM

Read the result

In this extract, CHN ranges from 100 (2000) to 111.9 (2021).

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

Indexing removes information about absolute size. A small country can grow faster while adding fewer people. Use the raw population table when the decision concerns infrastructure demand, total users or market size.

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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