A Geographical Analysis of Occupational Pattern in Namakkal District, Tamil Nadu
Keywords:
Labourers, Main workers, Statistics, Distribution, NSSO, GISAbstract
The surface of the earth has different inhabitants. Man is one of the important inhabitants in the development of any kind of activities in various forms of earth surface. The development of human civilization the work based communities are originated. Demographic study's is much studied phenomenon now a day due to its importance that has been given by researchers throughout the world and in India. India which is often portrayed as an exploding middle class economy has been undergoing this change for a few decades and has brought drastic outcome in the country. Accordingly the government has started to show much interest and has been implementing various changes in population policies accordingly. The word demography can be defined as statistical description and analysis of human population. The population study can plays in many roles. For this in case of Population Censuses both main workers and marginal workers are considered while in case of NSSO (National Sample Survey Organization) Employment-Unemployment surveys, both the principal and subsidiary activity status are to be taken into consideration and there was not much variation between the proportions of elderly persons working as obtained from these two sources for almost all the population categories. The occupational pattern has the important aspects, not only in economic context but in geographic perspective also. The area taken for this study is Namakkal district in Tamil Nadu. In this analysis the main workers population is considered and again this is sub divided into agricultural labourers, cultivators, household Industrial workers and other workers. From the analysis it is identified that the household industrial labourers and other workers share is low compared to the state share. The share of cultivators and agricultural labourers are comparatively higher to the state proportion. The result of the analysis is brought out through maps and is prepared by using Arc GIS platform.
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