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  1. Home
  3. Gridded Population Structure Datasets For The Indus River Basin Under Shared Socioeconomic Pathways 2020-2100.
  1. Home
  3. Gridded Population Structure Datasets For The Indus River Basin Under Shared Socioeconomic Pathways 2020-2100.

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Gridded Population Structure Datasets for the Indus River Basin under Shared Socioeconomic Pathways 2020-2100.

Barira Haider1, Cheng Jing2, Buda Su3

  • 1State Key Laboratory of Climate System Prediction and Risk Management, Nanjing University of Information Science & Technology, Nanjing, 210044, China.

Scientific Data
|July 10, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

This study provides a high-resolution population dataset for the Indus River Basin, crucial for understanding resource distribution and environmental sustainability amid rapid population growth. The data aids future research on sustainable development and climate change impacts.

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Area of Science:

  • Environmental Science
  • Demography
  • Geospatial Analysis

Background:

  • The Indus River Basin faces significant water disputes and rapid population growth.
  • High-resolution population data is essential for assessing resource distribution and environmental sustainability.

Purpose of the Study:

  • To develop a high-resolution gridded population dataset for the Indus River Basin.
  • To project future population size and structure changes (2020-2100) across Shared Socioeconomic Pathways (SSP1-5).

Main Methods:

  • Utilized historical population data and provincial demographic parameters from Afghanistan, China, India, and Pakistan.
  • Projected population changes on a 2.5 arc-minute (~5 km) grid resolution.
  • Verified the dataset against observed gridded population data across 62,140 grids.

Main Results:

  • A detailed population gridded dataset for the Indus River Basin was created.
  • Projections cover population size and structure (age, sex) changes under various socioeconomic scenarios.
  • The dataset demonstrates high accuracy through verification against observed data.

Conclusions:

  • The developed dataset is a valuable resource for research in resource management and sustainable development.
  • It supports assessments of climate change impacts within the Indus River Basin.
  • Facilitates informed decision-making for transboundary water resource management.