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Tomorrow's India V China

Published by: Global Demographics Ltd.

Published: Sep. 1, 2009 - 45 Pages


Table of Contents


Summary
Overall Population Trends
Relative to the World
Relative Age Profiles 2009
Implications for Births
Implications for Births (Con’t)
Future Age Structure
Future Age Structure (Con’t)
The Household
Household Size
Impact on Number of Households and Composition
Impact on Number of Households and Composition (Con’t)
Lifecycle Profile of the Population
Age Profile Impact on Lifecycle Profile
Age Profile Impact on Lifecycle Profile (Con’t)
Education
Relative Education Profile - 2009
Education Implications - India’s Challenge
Implications for Future Education Profile
Implications for Future Education Profile (Con’t)
Urbanisation
Urbanisation - China
Urbanisation -- India
Employment
Size of Labour Force
Size of Labour Force (Con’t)
Dependents per Worker
Labour Force Profile
Labour Force Profile (Con’t)
Gross Productivity per Worker
Household Incomes
Household Incomes as a Percent of Private consumption Component of GDP
Relative Household Incomes - 2009
Relative Household Incomes - 2009 (Con’t)
Trend in Overall Household Income Distribution
Expenditure and Savings Patterns - China
Expenditure and Savings Patterns - India
Share of US$8,000 + Households by State/Province
Copyright

Abstract

It is often stated that India will be the 'next China'.

This report examines the relative demographic andsocio-economic profiles of these twocountries and how they might change over the nexttwo decades, and with the ability of India toreplicate the China growth story.

The report examines both the differences in theexisting and future age profile of the population, theimplications of that for education and supply oflabour. This in turn enables forecasts of numberand structure of households and their relativeincome levels - both overall and per capita and theimplications of that for consumer demand.The analysis is at a national level for each countryand provides both historic trends from 1998 to2007 and forecasts to 2029.

This report is underpinned by an extensivehistorical database from 1990 to 2007, and aproprietary forecasting model which uses historicalrelationships to forecast to 2029.

Please note: this is delivered as a PowerPoint presentation.

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