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arpit

@thedataareclean.com.bsky.social

Evidence should not determine beliefs, but update them. | Perpetual learner | Statistician, Storyteller | 🚲 / 📚 / 🌱 / 📊 / 🌈

80 Followers  |  139 Following  |  1 Posts  |  Joined: 19.10.2023  |  1.7022

Latest posts by thedataareclean.com on Bluesky

Chart Title: Where do Indian households get their drinking water from? Description: A bar chart comparing the principal sources of drinking water between urban and rural India in 2023. The chart shows three categories - piped water, hand pump/tube well, and others - with their respective percentages for both urban and rural areas. Key Points: - In urban India, piped water (68%) is the dominant source, followed by others (20%) and hand pump/tube well (12%) - In rural India, hand pump/tube well is the main source at 48%, followed by piped water at 39% and others at 13% Source: CAMS, NSS 79th Round, 2022-23, NSO Attribution: DataForIndia.com/access-to-drinking-water/ | CC BY

Chart Title: Where do Indian households get their drinking water from? Description: A bar chart comparing the principal sources of drinking water between urban and rural India in 2023. The chart shows three categories - piped water, hand pump/tube well, and others - with their respective percentages for both urban and rural areas. Key Points: - In urban India, piped water (68%) is the dominant source, followed by others (20%) and hand pump/tube well (12%) - In rural India, hand pump/tube well is the main source at 48%, followed by piped water at 39% and others at 13% Source: CAMS, NSS 79th Round, 2022-23, NSO Attribution: DataForIndia.com/access-to-drinking-water/ | CC BY

🧵 Nearly 95% of Indian households now have access to basic drinking water, a rate of progress that has surpassed the world's average.

#Water #WASH #WashData #India #DataForIndia

06.06.2025 03:30 — 👍 2    🔁 1    💬 1    📌 0
Chart Title: Manufacturing has plateaued in India Description: A line graph showing manufacturing as a share of Gross Domestic Product (GDP) over time from 1960 to 2023 for three countries: India, Bangladesh, and South Korea. Key Points: - India's manufacturing share has remained relatively stagnant, declining from 14.75% in 1960 to 12.84% in 2023 - South Korea shows significant growth from 11.40% in 1960 to 24.31% in 2023, though with some recent decline - Bangladesh demonstrates strong growth, especially in recent years, rising from 5.31% in 1960 to 22.34% in 2023 Source: World Development Indicators, World Bank 2023 Attribution: DataForIndia.com/agriculture-shift/ | CC BY

Chart Title: Manufacturing has plateaued in India Description: A line graph showing manufacturing as a share of Gross Domestic Product (GDP) over time from 1960 to 2023 for three countries: India, Bangladesh, and South Korea. Key Points: - India's manufacturing share has remained relatively stagnant, declining from 14.75% in 1960 to 12.84% in 2023 - South Korea shows significant growth from 11.40% in 1960 to 24.31% in 2023, though with some recent decline - Bangladesh demonstrates strong growth, especially in recent years, rising from 5.31% in 1960 to 22.34% in 2023 Source: World Development Indicators, World Bank 2023 Attribution: DataForIndia.com/agriculture-shift/ | CC BY

🧵 Historically, when countries moved away from an agrarian economy, economic growth first came from industry, followed by a much later growth in services.

#Agriculture #Industry #Manufacturing #Economy #India #DataForIndia

18.04.2025 03:30 — 👍 1    🔁 1    💬 1    📌 0
Chart Title: Countries with GDPs similar to India have far higher per capita incomes Description: A scatter plot comparing Gross Domestic Product (GDP) vs GDP Per Capita Income for major economies in 2022. The x-axis shows GDP ranging from $0 to $25tn, while the y-axis shows per capita income from $0 to $80,000. Countries are represented as purple dots with labels. Key Points: - The United States leads with the highest GDP (~$25tn) and per capita income (~$70,000) - Despite having similar total GDP, the UK's per capita income is 20 times higher than India's - Major European economies (Germany, France, Italy) and Japan cluster in the middle range - India and China show large GDPs but relatively low per capita incomes Source: World Development Indicators, World Bank Attribution: DataForIndia.com/gdp | CC BY

Chart Title: Countries with GDPs similar to India have far higher per capita incomes Description: A scatter plot comparing Gross Domestic Product (GDP) vs GDP Per Capita Income for major economies in 2022. The x-axis shows GDP ranging from $0 to $25tn, while the y-axis shows per capita income from $0 to $80,000. Countries are represented as purple dots with labels. Key Points: - The United States leads with the highest GDP (~$25tn) and per capita income (~$70,000) - Despite having similar total GDP, the UK's per capita income is 20 times higher than India's - Major European economies (Germany, France, Italy) and Japan cluster in the middle range - India and China show large GDPs but relatively low per capita incomes Source: World Development Indicators, World Bank Attribution: DataForIndia.com/gdp | CC BY

🧵 India's economy is now the fifth largest in the world, and projected to become the third largest by 2027.

#Economy #PerCapitaIncome #GDP #India #DataForIndia

01.04.2025 03:30 — 👍 2    🔁 1    💬 1    📌 0
Chart Title: Eight in ten Indians are now literate Description: This area chart illustrates India’s literacy rate over time from 1951 to 2023. The literacy rate has shown a steady increase, starting from below 20% in 1951 to nearly 80% in 2023. Data for 1951, 1961, and 1971 covers the population aged 5+, while later years consider the population aged 7+. Source: Registrar General and Census Commissioner of India (accessed at RBI), NSS Survey Rounds 71, 75, 78, and PLFS 2022–23, NSO Attribution: DataForIndia.com/literacy-in-india/ | CC BY

Chart Title: Eight in ten Indians are now literate Description: This area chart illustrates India’s literacy rate over time from 1951 to 2023. The literacy rate has shown a steady increase, starting from below 20% in 1951 to nearly 80% in 2023. Data for 1951, 1961, and 1971 covers the population aged 5+, while later years consider the population aged 7+. Source: Registrar General and Census Commissioner of India (accessed at RBI), NSS Survey Rounds 71, 75, 78, and PLFS 2022–23, NSO Attribution: DataForIndia.com/literacy-in-india/ | CC BY

Literacy - the ability to read and write a sentence in any language with proper comprehension - is the most fundamental measure of educational outcomes.

India has made remarkable progress in improving literacy rates.

#Literacy #Education #LivingConditions #India #DataForIndia

14.02.2025 02:00 — 👍 1    🔁 1    💬 1    📌 0
Chart Title: One in six urban Indian households now primarily drink bottled water Description: This line graph shows the percentage of households using bottled water as their primary drinking water source in India from 1983 to 2023, comparing urban (yellow line) and rural (navy blue line) areas. The y-axis shows percentages from 0% to 16%. Key Points: -Urban areas show dramatic growth from near 0% in 2000 to approximately 15% by 2023, with a notable dip around 2020 -Rural areas demonstrate slower but steady growth, reaching about 6% by 2023 Source: NSS Rounds 38, 42, 49, 54, 58, 65, 69, 76, 78 and 79, NSO Attribution: DataForIndia.com/access-to-drinking-water/ | CC BY

Chart Title: One in six urban Indian households now primarily drink bottled water Description: This line graph shows the percentage of households using bottled water as their primary drinking water source in India from 1983 to 2023, comparing urban (yellow line) and rural (navy blue line) areas. The y-axis shows percentages from 0% to 16%. Key Points: -Urban areas show dramatic growth from near 0% in 2000 to approximately 15% by 2023, with a notable dip around 2020 -Rural areas demonstrate slower but steady growth, reaching about 6% by 2023 Source: NSS Rounds 38, 42, 49, 54, 58, 65, 69, 76, 78 and 79, NSO Attribution: DataForIndia.com/access-to-drinking-water/ | CC BY

In the early 2000s, fewer than eight in ten Indians had access to basic drinking water, lower than the world average. Over the last two decades, India has made steady progress.

#Water #WASH #WashData #India #DataForIndia

18.02.2025 03:30 — 👍 0    🔁 2    💬 1    📌 0
Chart Title: The rich in India are more likely to be online Description: This chart displays a dumbbell plot showing the share of internet usage among Women and Men across five income quintiles in India for 2023. The y-axis lists income groups from "Poorest" to "Richest", while data points show percentages of internet users, with Women (in navy blue) and Men (in yellow) connected by horizontal lines. Key Points: -A clear digital divide exists across income levels, with internet usage increasing significantly from poorest to richest quintiles -The richest quintile shows the highest internet usage: 69% for women and 82% for men -The poorest quintile shows the lowest usage: 34% for women and 50% for men -A consistent gender gap exists across all income levels, with men having higher internet usage than women -The gap between men and women ranges from 13-17 percentage points across quintiles Source: CAMS, Round 79, NSO 2022-23 Attribution: DataForIndia.com/comm-tech/ | CC BY

Chart Title: The rich in India are more likely to be online Description: This chart displays a dumbbell plot showing the share of internet usage among Women and Men across five income quintiles in India for 2023. The y-axis lists income groups from "Poorest" to "Richest", while data points show percentages of internet users, with Women (in navy blue) and Men (in yellow) connected by horizontal lines. Key Points: -A clear digital divide exists across income levels, with internet usage increasing significantly from poorest to richest quintiles -The richest quintile shows the highest internet usage: 69% for women and 82% for men -The poorest quintile shows the lowest usage: 34% for women and 50% for men -A consistent gender gap exists across all income levels, with men having higher internet usage than women -The gap between men and women ranges from 13-17 percentage points across quintiles Source: CAMS, Round 79, NSO 2022-23 Attribution: DataForIndia.com/comm-tech/ | CC BY

In 2009, only 2% of Indian homes had internet access. With the introduction of mobile broadband, this grew to 30% by 2014 and about 80% by 2023.

#Phone #Internet #Connectivity #India #DataForIndia

21.02.2025 03:30 — 👍 1    🔁 1    💬 1    📌 0
A minimalist graphic with the text "VIZCHITRA" in bold, modern font. The design features a house-like outline with colorful beams of light emerging from the doorway, representing diversity and creativity. Below, the text reads: "The good side of data viz is here. Join the community. Link in bio."

A minimalist graphic with the text "VIZCHITRA" in bold, modern font. The design features a house-like outline with colorful beams of light emerging from the doorway, representing diversity and creativity. Below, the text reads: "The good side of data viz is here. Join the community. Link in bio."

Inclusivity in skills.
Humanity in connection.
Collaboration in growth.
Creativity in exploration.

The good side of #dataviz is here.

Join us here👇or check the link in bio 🔗
chat.whatsapp.com/CbIu7z6ITmGF...

#datafam #datastorytelling #datavisualization #dataanalytics

19.02.2025 04:30 — 👍 4    🔁 1    💬 0    📌 0
First Image: A title card with large text asking, "How do we understand the true scale of malaria in India?" Below it, a statement reads, "The answer may lie in how malaria is measured." A yellow bar on the left suggests a visualisation element. The "Data For India" logo is present at the bottom.

First Image: A title card with large text asking, "How do we understand the true scale of malaria in India?" Below it, a statement reads, "The answer may lie in how malaria is measured." A yellow bar on the left suggests a visualisation element. The "Data For India" logo is present at the bottom.

Second Image: A comparison of two malaria measurement approaches: "Direct surveillance and reporting" (in purple) vs. "Secondary data and modelling" (in yellow). Direct surveillance relies on passive case reporting at health facilities and active surveillance in high-risk areas, led by the National Centre for Vector Borne Diseases Control (NCVBDC). Secondary data and modelling use diverse sources and statistical models, managed by the Institute for Health Metrics and Evaluation (IHME). The "Data For India" logo and a URL for more information appear at the bottom.

Second Image: A comparison of two malaria measurement approaches: "Direct surveillance and reporting" (in purple) vs. "Secondary data and modelling" (in yellow). Direct surveillance relies on passive case reporting at health facilities and active surveillance in high-risk areas, led by the National Centre for Vector Borne Diseases Control (NCVBDC). Secondary data and modelling use diverse sources and statistical models, managed by the Institute for Health Metrics and Evaluation (IHME). The "Data For India" logo and a URL for more information appear at the bottom.

Third Image: A statement in purple text indicating that "NCVBDC’s official estimates are under-reported by the government's own admission." Additional text explains that incomplete reporting from private healthcare providers and poor surveillance in remote areas impact data quality. The "Data For India" logo and a URL for more details are at the bottom.

Third Image: A statement in purple text indicating that "NCVBDC’s official estimates are under-reported by the government's own admission." Additional text explains that incomplete reporting from private healthcare providers and poor surveillance in remote areas impact data quality. The "Data For India" logo and a URL for more details are at the bottom.

Fourth Image: A comparison of malaria case estimates. "IHME’s modelled estimates are 16 times the official estimates." A visual comparison shows a small purple circle representing NCVBDC's reported 338,494 cases in 2019, next to a large orange circle representing IHME’s estimate of 5.5 million cases. The "Data For India" logo and a URL for further information appear at the bottom.

Fourth Image: A comparison of malaria case estimates. "IHME’s modelled estimates are 16 times the official estimates." A visual comparison shows a small purple circle representing NCVBDC's reported 338,494 cases in 2019, next to a large orange circle representing IHME’s estimate of 5.5 million cases. The "Data For India" logo and a URL for further information appear at the bottom.

Accurately estimating the true burden of malaria in India is challenging. Direct estimates are often under-reported or stunted by accessibility to remote regions.

#Malaria #Health #PublicHealth #India #DataForIndia

12.02.2025 02:00 — 👍 4    🔁 1    💬 1    📌 0

We are now on Bluesky! 🙂🎉

11.02.2025 02:41 — 👍 1    🔁 0    💬 0    📌 0

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