Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{144136,
        author = {Saurabh Vithal Savaskar and Virendrasinha Thakur},
        title = {ECO HOUSING RATING IN PUNE},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {7},
        pages = {60-65},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144136},
        abstract = {Housing in India varies greatly and reflects the socio-economic mix of its vast population. Housing varies from palaces of maharajas in Rajasthan to modern apartment buildings in big cities to tiny huts in far-flung villages. There has been tremendous growth in India's housing sector as incomes have risen. The housing sector has strong backward and forward linkages to over 250 ancillary industries which include construction workers, builders, developers, suppliers, civil engineers , property consultants, furnishers, interior decorators, plumbers, electricians etc. Housing ranks fourth in terms of the multiplier effect on the Economy and third amongst 14 major industries in terms of total linkage effect. After agriculture, the housing and real estate industry is the second largest employment generator in India. The sector is labour intensive and, including indirect jobs, provides employment to around 33 million people. It is estimated that about 70 per cent of these are employed in the infrastructure segment and the remaining 30 per cent in the real estate segment. According to industry estimates, the industry is expected to generate additional employment of 47 million, with the total number of persons employed in the sector reaching 83 million persons by 2022.},
        keywords = {Eco,Housing,Pune,Real estate,infrastructure},
        month = {},
        }