Synthetic Household Population for Dar es Salaam Generated by LLM

Michael Jones published a synthetic population dataset for Dar es Salaam, Tanzania, on figshare in 2026. The data was generated using a large language model (LLM) framework that creates household-structured populations from aggregate demographic data without requiring census microdata. The dataset is 5.5 KB in size and is available in XLS format.

Use Cases

• Calibrating agent-based transport models based on synthetic household demographics.
• Simulating public health interventions based on plausible household compositions.
• Modeling disaster response scenarios based on statistically aligned population distributions.
• Benchmarking LLM-based population synthesis methods against traditional techniques.

Strengths

• Generated using an LLM-agnostic framework that requires no model fine-tuning.
• Achieved close statistical alignment on simpler marginals like gender (SRMSE: 0.003) and household size (SRMSE: 0.026) in a global evaluation.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Dataset is very small (5.5 KB), indicating limited scope.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• The description does not specify the exact demographic attributes included for Dar es Salaam.

Provenance

Source

Michael Jones via figshare.

Collection Method

Generated by a large language model (LLM) framework using iterative prompting guided by aggregate demographic data.

Freshness

Last updated 2026-06-02 17:33:58.

Geography

Dar es Salaam, Tanzania.