Which of the following Statement about the SMILE Scheme is True?

Passage on SMILE Scheme (for next 3 Qs) A recent World Bank Report has shown that extreme poverty in India more than halved between 2011 and 2019 – from 22.5 per cent to 10.2 per cent. The reduction was higher in rural areas, from 26.3 per cent to 11.6 per cent. The rate of poverty decline between 2015 and 2019 was faster compared to 2011-2015. While debates on the World Bank’s methodology continue to rage, it is important to understand how poverty in rural areas was reduced at a faster pace. Much of the success can be credited to all government departments, especially their janbhagidari-based thrust on pro-poor public welfare that ensured social support for the endeavour. It will nevertheless be useful to delineate the key factors that contributed to the success. First, the identification of deprived households on the basis of the Socioeconomic and Caste Census (SECC) 2011 across welfare programmes helped in creating a constituency for the well-being of the poor, irrespective of caste, creed or religion. The much-delayed SECC 2011 data was released in July 2015. This was critical in accomplishing the objectives of “Sabka Saath, Sabka Vikas”. Since deprivation was the key criterion in identifying beneficiaries, SC and ST communities got higher coverage and the erstwhile backward regions in Bihar, Madhya Pradesh, Rajasthan, Uttar Pradesh, Jharkhand, Odisha, Chhattisgarh, Assam, Rajasthan and rural Maharashtra got a larger share of the benefits. This was a game-changer in the efforts to ensure balanced development, socially as well as across regions. Social groups that often used to be left out of government programmes were included and gram sabha validation was taken to ensure that the project reached these groups. A Central Sector scheme “SMILE: Support for Marginalised Individuals for Livelihood and Enterprise” has recently been launched to provide welfare measures to the Transgender community and the people engaged in the act of begging.