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Generating Synthetic Population

Bhavesh Neekhra, Kshitij Kapoor, Debayan Gupta

TL;DR

This paper provides a method to generate synthetic population at various administrative levels for India using machine learning and statistical methods applied to survey data such as Census of India 2011, IHDS-II, NSS-68th round, GPW etc.

Abstract

In this paper, we provide a method to generate synthetic population at various administrative levels for a country like India. This synthetic population is created using machine learning and statistical methods applied to survey data such as Census of India 2011, IHDS-II, NSS-68th round, GPW etc. The synthetic population defines individuals in the population with characteristics such as age, gender, height, weight, home and work location, household structure, preexisting health conditions, socio-economical status, and employment. We used the proposed method to generate the synthetic population for various districts of India. We also compare this synthetic population with source data using various metrics. The experiment results show that the synthetic data can realistically simulate the population for various districts of India.

Generating Synthetic Population

TL;DR

This paper provides a method to generate synthetic population at various administrative levels for India using machine learning and statistical methods applied to survey data such as Census of India 2011, IHDS-II, NSS-68th round, GPW etc.

Abstract

In this paper, we provide a method to generate synthetic population at various administrative levels for a country like India. This synthetic population is created using machine learning and statistical methods applied to survey data such as Census of India 2011, IHDS-II, NSS-68th round, GPW etc. The synthetic population defines individuals in the population with characteristics such as age, gender, height, weight, home and work location, household structure, preexisting health conditions, socio-economical status, and employment. We used the proposed method to generate the synthetic population for various districts of India. We also compare this synthetic population with source data using various metrics. The experiment results show that the synthetic data can realistically simulate the population for various districts of India.
Paper Structure (1 section, 3 figures, 5 tables)

This paper contains 1 section, 3 figures, 5 tables.

Table of Contents

  1. Sample Synthetic Population

Figures (3)

  • Figure 1: Histogram: Comparing source population (left) with synthetic population for the city of Mumbai in India
  • Figure 2: Scatter plot: Comparing source population (left) with synthetic population for the city of Mumbai in India
  • Figure 3: Geographical distribution of Households, Schools and Workplaces, respectively, in the Synthetic Population