Population Growth

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0
Updated:
Files:10
Size:7.45 MB
Formats:csv

Total Population - Both Sexes. De facto population in a country, area or region as of 1 July of the year indicated. Figures are presented in thousands. Data comes from United Nations' Population Di...

API Access

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Dataset Files

Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.

/core/population-growth-estimates-and-projections/
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/.datahub/datapackage.json
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/.datahub/flow.yaml
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/README.md
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/UPDATE_SCRIPT_MAINTENANCE_REPORT.md
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/data/population-constant-fertility.csv
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/data/population-constant-mortality.csv
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/data/population-estimates.csv
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/data/population-high-fertility.csv
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/data/population-instant-replacement.csv
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/data/population-low-fertility.csv
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/data/population-medium-fertility.csv
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/data/population-momentum.csv
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/data/population-no-change.csv
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/data/population-zero-migration.csv
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/datapackage.json
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/pipeline-spec.yaml
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/population_estimates_flow.py
Key Files

Start with these files — they give you everything you need to understand and access the dataset.

.datahub/datapackage.jsonmetadata & schema
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/.datahub/datapackage.json
README.mddocumentation
https://datahub.io/core/population-growth-estimates-and-projections/_r/-/README.md
Typical Usage
  1. 1. Fetch .datahub/datapackage.json to inspect schema and resources
  2. 2. Download data resources listed in .datahub/datapackage.json
  3. 3. Read README.md for full context

Data Files

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population-estimates

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Last updated
9 February 2026
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Format
CSV
File size
583 kB

population-low-fertility

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Last updated
9 February 2026
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CSV
File size
761 kB

population-medium-fertility

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Last updated
9 February 2026
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CSV
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763 kB

population-high-fertility

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Last updated
9 February 2026
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CSV
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764 kB

population-constant-fertility

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About

Last updated
9 February 2026
Total rows
...
Format
CSV
File size
764 kB

About this dataset

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Total Population - Both Sexes. De facto population in a country, area or region as of 1 July of the year indicated. Figures are presented in thousands.

Data

Data comes from United Nations' Population Division datasets. Total population (both sexes combined) by region, subregion and country, annually for 1950-2100 (thousands). Data is cleaned, normalized, "un-pivoted", and represented in nice machine readable way in CSV format. Dataset represented here has several resources:

  • Estimates from 1950 - 2015. Original
  • Medium fertility variant, 2015 - 2100
  • High fertility variant, 2015 - 2100
  • Low fertility variant, 2015 - 2100
  • Constant fertility variant, 2015 - 2100
  • Instant replacement fertility variant, 2015 - 2100
  • Momentum fertility variant, 2015 - 2100
  • Zero Migration variant, 2015 - 2100
  • Constant Mortality variant, 2015 - 2100

Preparation

You will need Python 3.6 or greater and dataflows library to run the script

To update the data run the process script locally:

# Install dataflows
pip install dataflows

# Run the script
python population_estimates.py
Several steps will be done to get the final data.

Licence

United Nations, Department of Economic and Social Affairs, Population Division (2017). World Population Prospects: The 2017 Revision, DVD Edition.