India’s Population Outlook
Make this example your own
Start with this working configuration
Keep the geography and setup, then replace the values or adjust the styling.
- Map
- Choropleth map
- Geography
- India
- Dataset
- 36 mapped places · Numeric values
- Rendering
- Quantile color classes
Includes: 3 selectable variables · pattern fills · map/table toggle
Data you need
- A place or boundary identifier that matches India.
- 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 India; 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 the quantile color treatment; 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. Use the map/table toggle when both views matter but space is limited.
Try this map style with
These datasets can use the same geography and visual setup.
- State electricity demand forecasts
- Urbanization projections
- School-age population by forecast year
Source and limitations
National Commission on Population, Ministry of Health & Family Welfare, Population Projections for India and States 2011–2036.
Dadra and Nagar Haveli and Daman and Diu are combined to match the current boundary.