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  • Year and State wise Population Estimates - Multi-dimensional Poverty Index(MPI)
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Search results for "Distribution" : 405 datasets

Datasets

Year and Month wise NACH Mandates Processed

HFIExclusive

Organisation

National Payments Corporation of India

Time Saved

3 hours

Granularity

Daily

Time Period

2017-18 to 2025-26

Dataset Info

Year and Entity wise Total Contributions and Amount of Subsidy (incentive) released to various organisations under the Payments Infrastructure Development Fund(PIDF) scheme

Exclusive

Organisation

Reserve Bank of India

Time Saved

6 hours

Granularity

Year, Financial Entities

Time Period

2020 to 2025

Dataset Info

👉🏻 'CSR Insights' by Dataful: Chat with India’s CSR Data

CSR Insights is an AI-powered platform that helps you instantly explore and analyse CSR data from thousands of companies across India. Chat with the data to uncover trends, compare spending across sectors, and gain actionable insights. Powered by GoPie, with data from Dataful, both products of Factly.
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Social Media Grievance: Year- and Month-wise Number of Reports Received and Action Taken by X (Twitter)

HFIExclusive

Organisation

Ministry of Electronics and Information Technology

Time Saved

4.5 hours

Granularity

Year, Month

Time Period

2021 to 2025

Dataset Info

NSS Round Nos. 69 and 76 - Drinking Water: Year- and Region-wise All India Distribution of Households by Water Charges Paid

Exclusive

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

6 hours

Granularity

All India

Time Period

2012, 2018

Dataset Info

NSS Round Nos. 59, 70 and 77 - Land Livestock: State-, Year-, Season-, Size-class- and Social-group-wise Distribution of Households who have Leased-out Agricultural Lands

Exclusive

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

6 hours

Granularity

State

Time Period

2003, 2013, 2019

Dataset Info

NSS Round Nos. 54 and 76 - Drinking Water: Year- and Region-wise All India Distribution of Households with Insufficient Drinking Water by Source and Duration

Exclusive

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

2 hours

Granularity

All India

Time Period

1998, 2018

Dataset Info

NSS Round Nos. 70th and 77th - Land Livestock: State- and Year-wise Distribution of Agricultural Lands by their Size and Types of Use

Exclusive

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

6 hours

Granularity

State

Time Period

2013, 2019

Dataset Info

NSS Round No. 70 and 77 - Land Livestock: State-, Year- and Season-wise Distribution of Agricultural Lands by their Size and Main Uses

Exclusive

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

6 hours

Granularity

State

Time Period

2013, 2019

Dataset Info

NSS Round No. 59 - Land Livestock: State-, Year- and Season-wise Distribution of Agricultural Lands by their Size and Main Usages

Exclusive

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

6 hours

Granularity

State

Time Period

2003

Dataset Info

NSS Round Nos. 70th and 77th - Land Livestock: State-, Year- and Season-wise Distribution of Households undertaking Agricultural Activities on Jhum Land

Exclusive

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

6 hours

Granularity

State

Time Period

2013, 2019

Dataset Info

NSS Round Nos. 59, 70 and 77 - Land Livestock: State-, Year-, Season-, Size-class- and Social-group-wise Distribution of Households who have Leased-in Agricultural Lands

Exclusive

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

6 hours

Granularity

State

Time Period

2003, 2013, 2019

Dataset Info

NSS Round Nos. 59, 70 and 77 - Livestock: Year-, State- and Social-group-wise Ownership of Livestock Animals and Poultry Birds among Households by Size of Land Holding

Exclusive

Organisation

Ministry of Statistics and Programme Implementation

Time Saved

6 hours

Granularity

State

Time Period

2003, 2013, 2019

Dataset Info
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