(07 November 2022) Government Data Roundup: CPI for Industrial Workers, 3rd Advance Estimates of Horticultural Crops, Payroll Reporting Among the Data Released Recently.
Sai Krishna Muthyanolla
November 7, 2022
The fifteenth edition of the fortnightly government data roundup covers the Third Advance Estimates of area and production of horticultural crops for the year 2021-22, Consumer Price Index for Industrial Workers for September 2022, Payroll Reporting in India – A Formal Employment Perspective for August 2022, Performance Grading Index (PGI) for States/UTs for 2020-21, among others.
The fifteenth edition of the fortnightly government data roundup covers the Third Advance Estimates of the area and production of horticultural crops for the year 2021-22, the Consumer Price Index for Industrial Workers for September 2022, Payroll Reporting in India – A Formal Employment Perspective for August 2022, Draft Master Directions – Information Technology Governance, Risk, Controls and Assurance Practices by RBI, Twenty Point Programme Progress Report April 2022- Jun 2022, 50 years’ journey of Basic Statistical Returns by RBI, Performance Grading Index (PGI) for States/UTs for 2020-21 and Responsible AI report by NITI Aayog.
Some other quick highlights of this fortnight are as below:
Brief about the report/data:
The Consumer Price Index for Industrial Workers is compiled each month by the Labour Bureau, an associated office of the Ministry of Labour & Employment, using retail prices gathered from 317 markets dispersed across 88 industrially significant centres in the country. On the last working day of the next month, the index—which is compiled for 88 centres & All-India—is released. This press release contains the index for September 2022.
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Brief about the report:
The advanced estimate of agriculture production presents a detailed estimation of the production of agricultural products in a financial year and its share in the GDP. The assessment of the production of different crops is based on the data received from States and validated with information available from other sources. This data is useful for deciding on budget allocation and gives an idea of the contribution of this sector to the GDP.
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Brief about the report:
The Ministry of Statistics & Programme Implementation started publishing this data in April 2018 covering the period from September 2017 onwards. Information on the number of subscribers under three major schemes- the Employees’ Provident Fund (EPF) Scheme, the Employees’ State Insurance (ESI) Scheme and the National Pension Scheme (NPS) has been provided. There could be some overlap in the subscription counts from different sources. As a result, the estimations from different sources do not add up. The data gives different perspectives on the level of employment in the formal sector in the country. However, it does not measure employment at a holistic level.
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Brief about the report:
The Basic Statistical Returns (BSR) system supported the expansion of the Indian banking system and financial inclusion policies over the course of the last 50 years (1972-2022), and the Reserve Bank organised the BSR@50 Conference on 28 October 2022, to discuss this role and consider the way forward. On this occasion, a commemorative volume featuring research papers utilising BSR data as well as the history of the BSR and bank branch statistics systems was published.
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Brief about the report:
The Reserve Bank of India under Section 35A of the Banking Regulation Act of 1949, Section 45L of the Reserve Bank of India Act of 1934, Section 11 of the Credit Information Companies (Regulation) Act of 2005, and all other provisions and laws that permit it to do so, issued Master Directions on Information Technology Governance, Risk, Controls, and Assurance Practices, which the Regulated Entities (REs) will be required to execute. These Directions incorporate consolidated and updated guidelines/instructions/ circulars on IT Governance, Risk, Controls, Assurance Practices and Business Continuity/ Disaster Recovery Management. Some of the key aspects are mentioned below.
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Brief about the report:
Twenty Point Programme was first initiated in 1975, and it underwent structural changes in 1982, 1986 and 2006. It is a combination of poverty alleviation programs, schemes for health and education, employment generation programs, and schemes impacting the environment and quality of life. This progress report of the Twenty Point Programme 2006 consists of two parts: Part-I contains an analysis of the overall performance, whereas Part II deals with item-wise performance. The report is compiled on the basis of data received from the Central Nodal Ministries and State Governments/UT Administrations. Presently, 14 parameters are taken for quarterly performance analysis.
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Brief about the report:
India, with over 14.9 lakh schools, 95 lakh teachers and nearly 26.5 crore students, has the largest school education ecosystem in the world. It is important to assess the performance of this huge system. The Performance Grading Index (PGI), which analyses state and local performance on a standard scale, is a relatively new index that aims to spur radical change in the area of schooling by providing insights into the status of school education in States & UTs. It intends to encourage States and UTs to implement multi-pronged interventions that will result in highly sought optimal educational outcomes, while also encouraging them to embrace best practises used by States with the best results.
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Brief about the report:
The National Strategy on Artificial Intelligence (NSAI), published in 2018 by NITI Aayog, included a roadmap for implementing AI in five public sectors in a way that is secure and provides advantages to all residents. The “AI for All” motto was created in the strategy paper to serve as the guiding standard for future AI design, development, and deployment in India.
As a follow-up to NSAI, stakeholder consultations on the suggested strategy for the responsible use of new technologies were launched in partnership with the World Economic Forum in 2019. The result was the publication of a two-part methodology paper outlining the principles for ethical artificial intelligence (AI) deployment in India as well as the enforcement methods for putting these principles into practise (RAI principles). Facial recognition technology (FRT) has been taken as the first use case for examining the RAI principles.
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Featured Image: Government Data Roundup