India’s Gender Balance — A State-wise Snapshot (PLFS 2025) India’s estimated sex ratio now stands at 999 females per 1,000 males — almost perfectly balanced. But zoom in, and the story becomes far more uneven. 📍 Top performers: Lakshadweep (1,231) Kerala (1,118) Tripura (1,086) Puducherry (1,083) Andhra Pradesh (1,065) 📍 States above parity (1,000+): A large belt across eastern and southern India — including Odisha, West Bengal, Bihar, and Tamil Nadu — shows stronger female representation. 📍 States below parity: DNH & DD (698) Delhi (870) Chandigarh (878) Haryana (908) Punjab (945) Gujarat (948) 👉 The north-western region continues to lag, reflecting persistent socio-cultural and economic factors. Key Takeaways: India is statistically close to gender balance — a major shift from past decades. However, regional disparities remain stark. Southern and eastern states are leading the way, while parts of north-west India still need focused interventions. 📊 Note: These estimates come from the Periodic Labour Force Survey (PLFS) 2025 — a sample survey, not a full census, but statistically representative. Why this matters: A balanced sex ratio is more than a demographic number — it reflects healthcare access, gender equity, and social progress. #IndiaThroughNumbers #GenderEquality #DataStorytelling #PLFS #Demographics #IndiaData #Gender #SexRatio #Equality #Women #Men
Dataful
Technology, Information and Internet
Dataful is your one-stop destination for clean & standardized Indian public data across 50+ sectors
About us
Dataful, a product of Factly, is your gateway to India's official data. As a comprehensive data portal, we offer a vast collection of datasets spanning over 50 sectors. It is our commitment to data quality and accessibility sets us apart. Unlike other platforms that may limit their focus to a few specific areas, Dataful offers a wide range of datasets, ensuring you have the information you need to make informed decisions. From economic indicators to social statistics and environmental data, our platform covers it all. Access to the most current data: We understand the importance of timely information. That's why we include High-Frequency Indicators (HFIs) for various sectors, many of which are updated monthly and even daily. Access to exclusive data: Additionally, Dataful goes beyond publicly available datasets by incorporating information obtained through Right to Information (RTI) requests. We think of you! We believe in the power of clean and structured data. Unlike many public data sources that can be poorly organized or non-standardized, Dataful ensures that our datasets are easy to use and understand.
- Website
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https://dataful.in/
External link for Dataful
- Industry
- Technology, Information and Internet
- Company size
- 11-50 employees
- Headquarters
- Hyderabad
- Founded
- 2023
- Specialties
- datasets, public data, and India data
Updates
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📊 How many students actually make it to secondary school across India? A look at the State-wise Gross Enrolment Ratio (GER) for Classes IX–XII (2024–25) reveals sharp regional contrasts in access to secondary education. 🔍 Key Insights: 🇮🇳 All-India GER stands at 68.5% — meaning nearly 1 in 3 adolescents are still outside the secondary education system. 🌟 Top performers:Chandigarh (108.7), Goa (100.8), Puducherry (96.9), Kerala (94.1), Himachal Pradesh (93.6) Yes, GER can exceed 100% due to late enrolment, early starts, or grade repetition. ⚠️ States needing attention:Bihar (44.7), Jammu & Kashmir (55.2), Madhya Pradesh (56.7), Arunachal Pradesh (56.7) These regions show significant gaps in retention beyond elementary education. 📍 Regional patterns: - South India shows relatively higher participation - North-Central belt continues to lag (UP, Bihar, MP and Gujarat) - North-East presents a mixed picture — strong in Mizoram (73.7), weaker in Nagaland (50.5) 💡 What this means: Improving secondary enrolment is not just about access to schools—it’s about retention, affordability, gender equity, and transitions from primary to secondary levels. As India aims for higher productivity and demographic dividends, keeping adolescents in school is critical. 📥 Data Source: UDISE+ & RBI Handbook of Statistics on Indian States #IndiaThroughNumbers #Education #DataAnalytics #PublicPolicy #SchoolEducation #GER #DataStorytelling #Dropout #School #Learning #Foundational
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We’re excited to share that The Better India has featured Factly Media & Research and its suite of products - Dataful and Tagore.ai on their platform! At Factly, our mission has always been to make public data accessible, understandable, and actionable for everyone. Dataful is a step in that direction—helping turn complex datasets into meaningful insights. Grateful for the recognition and support. Do give the article a read to learn more about how we’re working to strengthen data-driven storytelling in India. https://lnkd.in/g-fDSyDP #Dataful #Factly #DataForGood #OpenData #DataStorytelling #TagoreAI #PublicData #Accountability #Transparency #Media #DataForAll #RTI
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Oil tells the story of global crises. And right now, it’s screaming again. From the 2008 oil bubble to the COVID crash… every spike and crash in crude oil prices reflects one thing: geopolitics drives energy markets. But look at the far right of the chart. We’re entering another volatile phase — triggered by the escalating conflict between the US–Israel alliance and Iran. ⚠️ What’s happening now: • Oil prices have surged sharply, crossing $110+ per barrel amid supply fears • Attacks on energy infrastructure and tanker routes are disrupting global supply chains • The Strait of Hormuz — carrying ~20% of global oil — is under threat • Analysts warn prices could spike even further if the conflict intensifies 📈 The pattern is clear: Every major geopolitical shock → Oil spikes → Inflation rises → Global economy slows And this time, the stakes are even higher. A prolonged conflict could: • Push oil toward $130–$150 levels • Trigger global inflation again • Slow trade and economic growth worldwide 💡 Bottom line: This isn’t just a regional war. It’s a global economic risk unfolding in real time — and oil prices are the first signal. #CrudeOil #OilPrices #Geopolitics #IranIsraelConflict #EnergyCrisis #GlobalEconomy #DataStory #WestAsia #Inflation #Markets #USA #Iran #Israel #War
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🇮🇳 India Through Numbers: Who’s earning more? This map shows state-wise Per Capita Net State Domestic Product (NSDP) for 2024–25 — basically the average income per person across states. 🔍 Key takeaways: 🏆 Top performers Delhi leads the chart (~₹4.93 lakh), followed by Telangana, Karnataka, Tamil Nadu, and Haryana — reflecting strong urban economies and industrial growth. 📈 Southern states dominate Telangana, Karnataka, Tamil Nadu, and Kerala consistently rank high, driven by services, IT, and manufacturing. ⚖️ Mid-tier states Maharashtra, Gujarat (not shown), Punjab, and Uttarakhand sit in the middle — large economies but uneven income distribution. ⚠️ Lower per capita income Bihar (~₹0.69 lakh), Uttar Pradesh, Jharkhand, and parts of central India continue to lag behind. 🌄 Northeast variation States like Arunachal Pradesh perform better than Assam and others. 💡 What this really means: Higher per capita NSDP ≠ equal prosperity. It reflects average income, not how evenly wealth is distributed. 📊 Data Source: RBI 📌 Values in lakh rupees (current prices) #IndiaThroughNumbers #IndianEconomy #GDP #DataStorytelling #EconomicGrowth #StateEconomy #DataVisualization #IndiaData #PerCapitaIncome #Rich #Poor #Income #Wealth #Economy #Development #Growth
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🏏 Ever Wondered How Deep IPL Data Really Goes? Explore detailed datasets from the Indian Premier League – Men’s Cricket covering player performance, match stats, and team outcomes across seasons Download IPL’s ball-by-ball insights to match-level analytics now on Dataful #Cricket #IPL #Runs #Wickets #Balls #Bat #Fielder #Bowler #Batsman
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2,939 unnatural custodial deaths occurred in India between 2001 and 2023. But where are they happening the most? This map breaks down state-wise unnatural custodial deaths in India (2001–2023) — and the disparities are striking. 🔴 Uttar Pradesh (441) tops the list by a wide margin 🔴 Followed by Punjab (276), West Bengal & Tamil Nadu (196 each) 🔴 States like Maharashtra, Karnataka, Rajasthan also report significant numbers Meanwhile, several northeastern and smaller regions report relatively lower counts — but every number represents a life, a family, and unanswered questions. 📊 The data highlights: • A clear regional concentration in northern & large-population states • Persistent concerns around custodial safety and accountability • The need for stronger institutional safeguards ⚖️ Custody should not mean vulnerability. What do you think explains these differences across states? #IndiaThroughNumbers #DataStory #CustodialDeaths #CriminalJustice #DataVisualization #HumanRights #IndiaData #PublicPolicy #Police #Crime #Criminal #UttarPradesh #Jail #Prison
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India administered over 2.2 billion COVID-19 vaccine doses in one of the largest public health operations in history. But what does the data say about the severe adverse events that were reported? Here we break down the official findings from the National AEFI Committee, which reviewed 2,712 serious Adverse Events Following Immunisation (AEFI) cases from 2021 and 2022. Swipe through to uncover how medical experts separated coincidental health scares from actual vaccine-related side effects, what the most common confirmed risks were, and why India's existing surveillance systems struggled to capture the full picture. We also explore why the Supreme Court stepped in to mandate a "no-fault compensation" framework to support affected families. Let us know your thoughts in the comments: Do you think a "no-fault compensation" system is the fairest way to handle severe vaccine side effects during public health emergencies? #COVID19 #VaccineSafety #PublicHealth #IndiaHealth #MedicalData #HealthPolicy #AEFI #DataAnalysis #Immunisation #Vaccine #Covishield #Covaxin #Doctor #Healthcare #Health #Hospital
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📊 What is the value of goods that inmates produce across Indian jails? The numbers vary—A LOT. This map shows the value of goods produced per inmate in Indian jails (2023) based on data from the National Crime Records Bureau. 🔍 Key insights: • 🇮🇳 All-India average: ₹5,167 per inmate • 🥇 Telangana leads massively: ₹95,182 • 🥈 Tamil Nadu & Himachal Pradesh: ₹33,985 & ₹31,534 • ⚠️ Several states report very low or even zero output 💡 This isn’t just about productivity—it reflects: ✔️ Availability of prison industries ✔️ Skill development programs ✔️ State-level focus on rehabilitation Prison labour, when structured well, can help inmates build skills, earn dignity, and reduce re-offending. But the disparity raises a big question: 👉 Why are opportunities so uneven across states? #IndiaThroughNumbers #DataStory #PrisonReform #SkillDevelopment #PublicPolicy #IndiaData #Rehabilitation #DataVisualization #Prison #Jail #Crime #Police
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