This ranking displays the results of the worldwide Made-In-Country Index 2017, a survey conducted to show how positively products "made in..." are perceived in various countries all over the world. During this survey, 81 percent of respondents from India perceived products made in the United States as "slightly positive" or "very positive". The survey indicates that the U.S. products have the strongest reputation in India, followed by German products.

Dataset Description: Indian School Education Statistics (2021-2022)

This dataset offers a comprehensive overview of Indian School Education Statistics, covering the years 2021-2022. It provides a valuable resource for individuals embarking on their Data Science journey by consolidating various datasets from the Indian Government into a single, easily accessible source. The dataset is available in seven separate .csv files, each with its distinct focus, enabling users to explore diverse aspects of the education landscape in India.

The Seven Key Datasets Included:

1. Percentage of Schools with Drinking Water Facility (2021-22)
2. Gross Enrolment Ratio (2021-22)
3. Drop-out Rate (2021-22)
4. Percentage of Schools with Computers (2021-22)
5. Percentage of Schools with Electricity (2021-22)
6. Schools with Boys' Toilets (2021-22)
7. Schools with Girls' Toilets (2021-22)

This dataset is a treasure trove of information, offering a window into the dynamic landscape of education in India and its evolution over time. By delving into this dataset, you can unlock answers to various pressing questions and tackle pivotal issues, including:

• Identifying states with the highest dropout ratios.
• Assessing the availability of crucial amenities like drinking water and sanitation facilities for boys and girls.
• Exploring the Gross Enrolment Ratio across different educational levels.
• Monitoring shifts in enrollment trends at various stages of education.

Sourced from the Open Government Data (OGD) Platform India, this dataset not only serves as a valuable resource for beginners in their Data Science journey but also presents an array of opportunities for in-depth analysis and research within the realm of Indian education.

Dataset

This dataset was created by Akshit Sinha

Contents

India Vital Statistics: Natural Growth Rate: per 1000 Population data was reported at 13.500 NA in 2020. This records a decrease from the previous number of 13.800 NA for 2019. India Vital Statistics: Natural Growth Rate: per 1000 Population data is updated yearly, averaging 18.500 NA from Dec 1970 (Median) to 2020, with 51 observations. The data reached an all-time high of 22.000 NA in 1971 and a record low of 13.500 NA in 2020. India Vital Statistics: Natural Growth Rate: per 1000 Population data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under Global Database’s India – Table IN.GAH001: Vital Statistics.

United States Employment: American Indian or Alaska Native data was reported at 1,784.000 Person th in Apr 2025. This records a decrease from the previous number of 1,819.000 Person th for Mar 2025. United States Employment: American Indian or Alaska Native data is updated monthly, averaging 1,329.500 Person th from Jan 2000 (Median) to Apr 2025, with 304 observations. The data reached an all-time high of 1,980.000 Person th in Feb 2025 and a record low of 837.000 Person th in Oct 2003. United States Employment: American Indian or Alaska Native data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G: Current Population Survey: Employment.

Comprehensive socio-economic dataset for India including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Context

This dataset contains information about Indian School Education Statistics of the year 2013-2014 to 2015-2016. Many public datasets from Indian Government are scattered and the goal here is to have all those datasets under one umbrella so that it is easy for beginners to find important datasets like this to start their Data Science journey.

Content

I acquired this dataset from here. Have a look at the website.

This dataset contains 7 files in .csv format. You can find a description for each column. Let me summarize it here too. 1. Percentage of Schools with Drinking Water Facility from 2013-14 to 2015-16 2. Gross Enrolment Ratio from 2013-14 to 2015-16 3. Drop-out rate from 2012-13 to 2014-15 4. Percentage of Schools with Computers from 2013-14 to 2015-16 5. Percentage of Schools with Electricity from 2013-14 to 2015-16 6. Schools with Boys Toilet from 2013-14 to 2015-16 7. Schools with Girls Toilet from 2013-14 to 2015-16

Inspiration

This dataset is especially useful for starters in their Data Science journey, also whoever is interested in knowing how the education in India is progressing over the years. You can start your exploration by answering the below questions:

• Which states have the highest Dropout Ratio?
• Do boys and girls have enough water and toilet facilities available?
• How is the Gross Enrollment ration for boys and girls in various levels of schooling life?
• Which level of school life is there less number of enrollment? Is it dropping or increasing?
• Any other ideas.

Acknowledgements

I thank the Indian Government for making it public under their Open Government Data (OGD) Platform India.

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A survey conducted in January 2022 revealed that 18 to 25-year-olds constituted the largest share of social media users in India, with ** percent using six to nine social media platforms at a time. Contrariwise, nearly *********** of the respondents aged 56 and above claimed to not having used social media platforms. The source noticed that people residing in urban areas were using more social media platforms than those in rural areas.

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