π Changed Nature of Peasant Movements Post 1857
π Key Points
β Main Streaming: Peasants became the main force in agrarian movements, fighting for their own demands.
β Objectives: Focused primarily on economic issues.
β Immediate Enemies: Directed against foreign planters, indigenous zamindars, and moneylenders.
β Not Against Colonialism: Movements did not target colonialism or subordination.
β Limited Territorial Extent: Movements had limited reach and lacked continuity or long-term.
π Key Points
β Main Streaming: Peasants became the main force in agrarian movements, fighting for their own demands.
β Objectives: Focused primarily on economic issues.
β Immediate Enemies: Directed against foreign planters, indigenous zamindars, and moneylenders.
β Not Against Colonialism: Movements did not target colonialism or subordination.
β Limited Territorial Extent: Movements had limited reach and lacked continuity or long-term.
#Goodmorning
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#Accountability
π Education Stats
π Literacy Rates
β Overall: 77%, Male: 84%, Female: 70%, Urban: 88%, Rural: 74% (NSO)
π Government Spending
β Education: 3.5% of GDP (Ministry of Education)
π Enrolment Ratios
β Primary: 98%, Secondary: 80%, Senior Secondary: 58% (ASER report)
π Government Schools
β Enrolment: 73% in 2022 (up from 65% in 2018) (ASER report)
π Reading Ability
β Class 2 Text: 42% of children could read (down from 50% in 2018) (ASER report)
π School Infrastructure
β 88.65% of schools have electricity & drinking water
β 47.50% schools have computers (SDG India Index 2024)
π Higher Education
β Gross Enrolment: 28% (51% male, 49% female) (AISHE, Ministry of Education)
β Public vs Private: 60% public, 40% private universities (AISHE)
π Engineering Students
β 39 lakh students (29% women) in 2021-22 (AISHE)
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π Literacy Rates
β Overall: 77%, Male: 84%, Female: 70%, Urban: 88%, Rural: 74% (NSO)
π Government Spending
β Education: 3.5% of GDP (Ministry of Education)
π Enrolment Ratios
β Primary: 98%, Secondary: 80%, Senior Secondary: 58% (ASER report)
π Government Schools
β Enrolment: 73% in 2022 (up from 65% in 2018) (ASER report)
π Reading Ability
β Class 2 Text: 42% of children could read (down from 50% in 2018) (ASER report)
π School Infrastructure
β 88.65% of schools have electricity & drinking water
β 47.50% schools have computers (SDG India Index 2024)
π Higher Education
β Gross Enrolment: 28% (51% male, 49% female) (AISHE, Ministry of Education)
β Public vs Private: 60% public, 40% private universities (AISHE)
π Engineering Students
β 39 lakh students (29% women) in 2021-22 (AISHE)
#Data #GS2 #GS1 #Ethics #essay #social_issue #health #mains
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CSE EXAM ( UPSC prelims mains) CAPF
Aspirant right now But No info today result
Today ππππ
CSP-2025-WR-NameList-Engl-110625.pdf
2 MB
Name Wise 2025 Pre
IFSP-2025-WR-NameList-Engl-110625.pdf
511.5 KB
Name wise IFoS-25 Result
π Oil Pollution
π Examples
β Deepwater Horizon Oil Spill (2010): Largest marine oil spill in Gulf of Mexico.
β Ennore Oil Spill (2017): Collision off Chennai coast, impacting marine life and fishermen.
β MV Wakashio Spill (2020): Ship ran aground off Mauritius, spilling oil in a biodiversity-rich area.
π Causes
β Oil spills from tankers, offshore rigs.
β Leakages from drilling, transportation.
β Ballast water discharge, pipeline ruptures.
π Consequences
β Environmental: Marine life death, long-term damage to ecosystems.
β Economic: Livelihood loss, high cleanup costs.
β Health Hazards: Skin disorders, respiratory issues, contamination of seafood.
π Steps Taken
β International: MARPOL Convention, OPRC, IMO standards.
β India: NOS-DCP, INCOIS oil spill trajectory model.
π Way Forward
β Enforce safety regulations, improve warning systems, develop response capacity, promote bioremediation techniques.
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π Examples
β Deepwater Horizon Oil Spill (2010): Largest marine oil spill in Gulf of Mexico.
β Ennore Oil Spill (2017): Collision off Chennai coast, impacting marine life and fishermen.
β MV Wakashio Spill (2020): Ship ran aground off Mauritius, spilling oil in a biodiversity-rich area.
π Causes
β Oil spills from tankers, offshore rigs.
β Leakages from drilling, transportation.
β Ballast water discharge, pipeline ruptures.
π Consequences
β Environmental: Marine life death, long-term damage to ecosystems.
β Economic: Livelihood loss, high cleanup costs.
β Health Hazards: Skin disorders, respiratory issues, contamination of seafood.
π Steps Taken
β International: MARPOL Convention, OPRC, IMO standards.
β India: NOS-DCP, INCOIS oil spill trajectory model.
π Way Forward
β Enforce safety regulations, improve warning systems, develop response capacity, promote bioremediation techniques.
#environment #mains
Join @PIB_UPSC
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Message from Honble Chairman UPSC
#Goodmorning
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#Target
#TargetOnlyone
#Accountability
β³71 days left CSM25 [ 22-08-25]
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β³346 days left CSP26 [ 24-05-26]
β³435 days left CSM26 [ 21-08-26]
β³5 days left RAS mains 17 june
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β³17 days left UPPSC mains 29 June
β³41 days JKPSC 23th July
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β³ 122 days left UPPSC prelims 12 Oct
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#Accountability
π Multidimensional Poverty in India
π Key Statistics
β 14.96% headcount ratio of Multidimensional Poverty in 2019-21 (down from 24.85% in 2015-16), enroute to achieving target 1.2 of halving Multidimensional Poverty much before 2030
β 13.5 crore people lifted out of multidimensional poverty between 2015-16 and 2019-21, and 41.5 crore people lifted out between 2005-06 and 2019-21
β The intensity of poverty (average deprivation among multidimensionally poor) improved from about 47% in 2015-16 to 44% in 2019-21
π Rural and Urban Trends
β Fastest decline in percentage of multidimensional poor in rural areas: from 32.59% in 2015-16 to 19.28% in 2019-21
β Reduction in incidence of poverty in urban areas: from 8.65% in 2015-16 to 5.27% in 2019-21
π Vulnerable Groups and Regional Data
β India has the largest number of children living in multidimensional poverty β 1 in every 5 children is poor
β States of UP, Bihar, MP, Odisha, and Rajasthan recorded steepest decline in number of MPI poor
β Globally, 85% of multidimensionally poor people live in Sub-Saharan Africa and South Asia
β 63 million Indians pushed into poverty yearly due to healthcare costs β almost two people every second
β Poverty levels among social groups:
β’ STs = 50.6%
β’ SCs = 33.3%
β’ OBCs = 27.2%
(5 out of every 6 people living in multidimensional poverty in India belong to disadvantaged tribes and castes)
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π Key Statistics
β 14.96% headcount ratio of Multidimensional Poverty in 2019-21 (down from 24.85% in 2015-16), enroute to achieving target 1.2 of halving Multidimensional Poverty much before 2030
β 13.5 crore people lifted out of multidimensional poverty between 2015-16 and 2019-21, and 41.5 crore people lifted out between 2005-06 and 2019-21
β The intensity of poverty (average deprivation among multidimensionally poor) improved from about 47% in 2015-16 to 44% in 2019-21
π Rural and Urban Trends
β Fastest decline in percentage of multidimensional poor in rural areas: from 32.59% in 2015-16 to 19.28% in 2019-21
β Reduction in incidence of poverty in urban areas: from 8.65% in 2015-16 to 5.27% in 2019-21
π Vulnerable Groups and Regional Data
β India has the largest number of children living in multidimensional poverty β 1 in every 5 children is poor
β States of UP, Bihar, MP, Odisha, and Rajasthan recorded steepest decline in number of MPI poor
β Globally, 85% of multidimensionally poor people live in Sub-Saharan Africa and South Asia
β 63 million Indians pushed into poverty yearly due to healthcare costs β almost two people every second
β Poverty levels among social groups:
β’ STs = 50.6%
β’ SCs = 33.3%
β’ OBCs = 27.2%
(5 out of every 6 people living in multidimensional poverty in India belong to disadvantaged tribes and castes)
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π Why is India's Fertility Rate Declining?
π Key Reasons for Fertility Decline
β Increased Female Literacy & Workforce Participation β More women focusing on careers & education.
β Womenβs Empowerment & Changing Aspirations β More financial independence, delayed marriages & childbirth.
β Social Attitude Shifts β Preference for higher education, jobs & financial stability over early motherhood.
β Rising Infertility & Abortions β Affecting both men & women, contributing to lower birth rates.
β Migration of Youngsters β Many opt for jobs abroad, reducing birth rates in their home states.
π The Way Forward
β Improve Socio-Economic Conditions β A better economy & job prospects can encourage family growth.
β Invest in Social & Health Sectors β Stronger healthcare & maternity support for working women.
β Learning from Global Trends β Avoid mistakes of countries like South Korea, where fertility rates failed to recover despite large investments.
#social_issues
π Key Reasons for Fertility Decline
β Increased Female Literacy & Workforce Participation β More women focusing on careers & education.
β Womenβs Empowerment & Changing Aspirations β More financial independence, delayed marriages & childbirth.
β Social Attitude Shifts β Preference for higher education, jobs & financial stability over early motherhood.
β Rising Infertility & Abortions β Affecting both men & women, contributing to lower birth rates.
β Migration of Youngsters β Many opt for jobs abroad, reducing birth rates in their home states.
π The Way Forward
β Improve Socio-Economic Conditions β A better economy & job prospects can encourage family growth.
β Invest in Social & Health Sectors β Stronger healthcare & maternity support for working women.
β Learning from Global Trends β Avoid mistakes of countries like South Korea, where fertility rates failed to recover despite large investments.
#social_issues
π World Day Against Child Labour (WDACL)
β Observed every year on June 12 under the International Labour Organization (ILO)
β Aims to raise awareness and bring together stakeholders to eliminate child labour
β Linked with Sustainable Development Goal (SDG) Target 8.7, which seeks to end child labour in all forms by 2025
π Prevalence of Child Labour
β Globally, around 160 million children are engaged in child labour, i.e., 1 in every 10 children
β The Africa, Asia and the Pacific regions together account for almost nine out of every 10 children being in child labour
β COVID-19 pandemic worsened conditions, forcing many children to leave school and work
π Child Labour in India
β Census 2011 estimated that 43.53 lakh children (5β14 years) engaged in child labour due to factors such as poverty, non-accessibility and illiteracy
β Child labour is preferred in beedi, carpet-weaving and firework factories
π Legislative Framework:
β India enacted the Child Labour (Prohibition and Regulation) Act (CLPRA) in 1986
β National Policy on Child Labour, 1987 sought a gradual and sequential approach with focus on rehabilitation
β National Child Labour Project (NCLP) implemented in high-incidence areas
β CLPRA Amendment Act, 2016:
ββͺ Prohibits employment of children below 14
ββͺ Prohibits employment of adolescents (14β18 years) in hazardous occupations
β Right to Education mandates free and compulsory education to all children aged 6 to 14 years
π The Velpur Model (Success Story)
β Velpur Mandal, Nizamabad district (Telangana) was once notorious for child labour
β In 2001, a community-driven campaign ensured all children (5β15 years) were enrolled in school
β Velpur was declared βchild labour free mandalβ on October 2, 2001, after 100 days of efforts
β 24 years later, there is 100% retention in schools and no child labour in the mandal
π Innovative Measures in Velpur
β Children found working were sent to bridge schools under NCLP
β Public meetings emphasised education; children recognised employers who let them leave work
β Employers wrote off loans taken by parents (children were earlier used as mortgage)
β All sarpanchs signed MoUs (under Andhra Pradesh Compulsory Primary Education Rules, 1982) to ensure schooling
β Government ensured access, infrastructure and teachers
π Recognition and Replicability
β Model recognised by national and international bodies including ILO and media
β Supported by former President A.P.J. Abdul Kalam
β Mentioned in Parliamentary Standing Committee on Labour report (2022)
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β Observed every year on June 12 under the International Labour Organization (ILO)
β Aims to raise awareness and bring together stakeholders to eliminate child labour
β Linked with Sustainable Development Goal (SDG) Target 8.7, which seeks to end child labour in all forms by 2025
π Prevalence of Child Labour
β Globally, around 160 million children are engaged in child labour, i.e., 1 in every 10 children
β The Africa, Asia and the Pacific regions together account for almost nine out of every 10 children being in child labour
β COVID-19 pandemic worsened conditions, forcing many children to leave school and work
π Child Labour in India
β Census 2011 estimated that 43.53 lakh children (5β14 years) engaged in child labour due to factors such as poverty, non-accessibility and illiteracy
β Child labour is preferred in beedi, carpet-weaving and firework factories
π Legislative Framework:
β India enacted the Child Labour (Prohibition and Regulation) Act (CLPRA) in 1986
β National Policy on Child Labour, 1987 sought a gradual and sequential approach with focus on rehabilitation
β National Child Labour Project (NCLP) implemented in high-incidence areas
β CLPRA Amendment Act, 2016:
ββͺ Prohibits employment of children below 14
ββͺ Prohibits employment of adolescents (14β18 years) in hazardous occupations
β Right to Education mandates free and compulsory education to all children aged 6 to 14 years
π The Velpur Model (Success Story)
β Velpur Mandal, Nizamabad district (Telangana) was once notorious for child labour
β In 2001, a community-driven campaign ensured all children (5β15 years) were enrolled in school
β Velpur was declared βchild labour free mandalβ on October 2, 2001, after 100 days of efforts
β 24 years later, there is 100% retention in schools and no child labour in the mandal
π Innovative Measures in Velpur
β Children found working were sent to bridge schools under NCLP
β Public meetings emphasised education; children recognised employers who let them leave work
β Employers wrote off loans taken by parents (children were earlier used as mortgage)
β All sarpanchs signed MoUs (under Andhra Pradesh Compulsory Primary Education Rules, 1982) to ensure schooling
β Government ensured access, infrastructure and teachers
π Recognition and Replicability
β Model recognised by national and international bodies including ILO and media
β Supported by former President A.P.J. Abdul Kalam
β Mentioned in Parliamentary Standing Committee on Labour report (2022)
#gs1
#society
#mains
Join @CSE_EXAM
@upsc_society_gs
#Goodmorning
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#Target
#TargetOnlyone
#Accountability
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β³434 days left CSM26 [ 21-08-26]
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#Target
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#Accountability
π Education Stats
π Literacy Rates
β Overall: 77%, Male: 84%, Female: 70%, Urban: 88%, Rural: 74% (NSO)
π Government Spending
β Education: 3.5% of GDP (Ministry of Education)
π Enrolment Ratios
β Primary: 98%, Secondary: 80%, Senior Secondary: 58% (ASER report)
π Government Schools
β Enrolment: 73% in 2022 (up from 65% in 2018) (ASER report)
π Reading Ability
β Class 2 Text: 42% of children could read (down from 50% in 2018) (ASER report)
π School Infrastructure
β 88.65% of schools have electricity & drinking water
β 47.50% schools have computers (SDG India Index 2024)
π Higher Education
β Gross Enrolment: 28% (51% male, 49% female) (AISHE, Ministry of Education)
β Public vs Private: 60% public, 40% private universities (AISHE)
π Engineering Students
β 39 lakh students (29% women) in 2021-22 (AISHE)
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π Literacy Rates
β Overall: 77%, Male: 84%, Female: 70%, Urban: 88%, Rural: 74% (NSO)
π Government Spending
β Education: 3.5% of GDP (Ministry of Education)
π Enrolment Ratios
β Primary: 98%, Secondary: 80%, Senior Secondary: 58% (ASER report)
π Government Schools
β Enrolment: 73% in 2022 (up from 65% in 2018) (ASER report)
π Reading Ability
β Class 2 Text: 42% of children could read (down from 50% in 2018) (ASER report)
π School Infrastructure
β 88.65% of schools have electricity & drinking water
β 47.50% schools have computers (SDG India Index 2024)
π Higher Education
β Gross Enrolment: 28% (51% male, 49% female) (AISHE, Ministry of Education)
β Public vs Private: 60% public, 40% private universities (AISHE)
π Engineering Students
β 39 lakh students (29% women) in 2021-22 (AISHE)
#Data #GS2 #GS3 #GS1 #essay #social_issue #mains
Join @CSE_EXAM
@UPSC_FACTS
CAPF-2024-Engl-FR-130625.pdf
132.4 KB
CAPF FINAL RESULTS24
π Indiaβs Gender Parity, Transport, Trade & Governance β Key Updates (2025)
π 1. Gender Parity in India: Mixed Progress
β India ranked 131/148 in Global Gender Gap Report 2025 (Score: 64.1%).
β Education: High parity at 97.1%.
β Political Empowerment dropped:
ββ’ Women in Parliament: 14.7% β 13.8%
ββ’ Ministerial roles: 6.5% β 5.6%
β Global concern: Despite 41.2% workforce share, women hold only 28.8% top leadership roles.
π 2. Gender Gaps in South Asia
β South Asiaβs Political Empowerment Score: 26.8%
β Only Bangladesh achieved head-of-state parity.
β Economic participation improving, but estimated income parity fell by 7.8%.
π 3. Central Schemes Under βEffectivenessβ Lens
β All centrally funded schemes to show positive outcomes to continue beyond 2026.
β Sunset clause and 3rd-party evaluations introduced.
β MGNREGS: Outlay now tied to beneficiary count; upward revisions need Finance Dept. nod.
π 4. Urban Transport & Mobility Shift
β PM E-Bus Sewa, PM e-Drive launched; target: 10,000+ e-buses.
β Trams offer 45% profitability over 7 decades; e-buses show 82% net loss.
β Budget promotes metro networks, but India still lacks mass transit coverage (only 37% urban access).
π 5. U.S.βIndia Trade Relations & Tariffs
β India has a $35β40B surplus, yet U.S. cites $44B trade deficit using selective data.
β India insists on WTO-based, mutually agreed solutions.
β Any deal must protect digital services, remittances, and Indian exporters.
π 6. Sustainability in Transit Planning
β India urged to invest in cost-effective, long-term tram systems.
β Move seen as a smart & timely shift towards climate-aligned, financially viable urban mobility.
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π 1. Gender Parity in India: Mixed Progress
β India ranked 131/148 in Global Gender Gap Report 2025 (Score: 64.1%).
β Education: High parity at 97.1%.
β Political Empowerment dropped:
ββ’ Women in Parliament: 14.7% β 13.8%
ββ’ Ministerial roles: 6.5% β 5.6%
β Global concern: Despite 41.2% workforce share, women hold only 28.8% top leadership roles.
π 2. Gender Gaps in South Asia
β South Asiaβs Political Empowerment Score: 26.8%
β Only Bangladesh achieved head-of-state parity.
β Economic participation improving, but estimated income parity fell by 7.8%.
π 3. Central Schemes Under βEffectivenessβ Lens
β All centrally funded schemes to show positive outcomes to continue beyond 2026.
β Sunset clause and 3rd-party evaluations introduced.
β MGNREGS: Outlay now tied to beneficiary count; upward revisions need Finance Dept. nod.
π 4. Urban Transport & Mobility Shift
β PM E-Bus Sewa, PM e-Drive launched; target: 10,000+ e-buses.
β Trams offer 45% profitability over 7 decades; e-buses show 82% net loss.
β Budget promotes metro networks, but India still lacks mass transit coverage (only 37% urban access).
π 5. U.S.βIndia Trade Relations & Tariffs
β India has a $35β40B surplus, yet U.S. cites $44B trade deficit using selective data.
β India insists on WTO-based, mutually agreed solutions.
β Any deal must protect digital services, remittances, and Indian exporters.
π 6. Sustainability in Transit Planning
β India urged to invest in cost-effective, long-term tram systems.
β Move seen as a smart & timely shift towards climate-aligned, financially viable urban mobility.
#Data #GS2 #GS3 #GS1 #essay #social_issue #mains
Join @CSE_EXAM
@UPSC_FACTS
π Pollution Dome
π Definition
β Formed when unfavorable atmospheric conditions trap pollutants in urban areas, causing smog buildup.
π Contributing Factors
β Stagnant Air: Calm winds trap pollutants.
β Temperature Inversions: Warm air traps cooler air, preventing vertical dispersion.
β Geographic Bottlenecks: Mountains/valleys restrict air movement, trapping pollutants.
π Additional Factors
β Industrial Activity: Emissions from factories, power plants, and vehicles worsen pollution in stagnant air.
β Unfavorable Weather Patterns: Systems like anticyclones limit atmospheric mixing, trapping pollutants closer to the ground.
#Geography
#environment
π Definition
β Formed when unfavorable atmospheric conditions trap pollutants in urban areas, causing smog buildup.
π Contributing Factors
β Stagnant Air: Calm winds trap pollutants.
β Temperature Inversions: Warm air traps cooler air, preventing vertical dispersion.
β Geographic Bottlenecks: Mountains/valleys restrict air movement, trapping pollutants.
π Additional Factors
β Industrial Activity: Emissions from factories, power plants, and vehicles worsen pollution in stagnant air.
β Unfavorable Weather Patterns: Systems like anticyclones limit atmospheric mixing, trapping pollutants closer to the ground.
#Geography
#environment