IND_2020_CRSS-W1_v01_EN_M_v01_A_OCS
COVID-19 Related Shocks Survey in Rural India 2020
Name | Country code |
---|---|
India | IND |
Other Household Survey [hh/oth]
An effective policy response to the economic impacts of the COVID-19 pandemic requires an enormous range of data to inform the design and response of programs. Public health measures require data on the spread of the disease, beliefs in the population, and capacity of the health system. Relief efforts depend on an understanding of hardships being faced by various segments of the population. Food policy requires measurement of agricultural production and hunger. In such a rapidly evolving pandemic, these data must be collected at a high frequency. Given the unexpected nature of the shock and urgency with which a response was required, Indian policymakers needed to formulate policies affecting India's 1.4 billion people, without the detailed evidence required to construct effective programs. To help overcome this evidence gap, researchers from the World Bank, in collaboration with IDinsight, the Development Data Lab, and John Hopkins University sought to produce rigorous and responsive data for policymakers across six states in India: Jharkhand, Rajasthan, Uttar Pradesh, Andhra Pradesh, Bihar, and Madhya Pradesh.
Sample survey data [ssd]
Households
The COVID-19-Related Shocks Surveys in Rural India cover the following subjects:
Agriculture: COVID-19-related changes in price realisation, acreage decisions, input expenditure, access to credit, access to fertilisers, etc.
Income and consumption: Changes in wage rates, employment duration, consumption expenditure, prices of essential commodities, status of food security etc.
Migration: Rates of in-migration, migrant income and employment status, return migration plans etc.
Access to relief: Access to in-kind, cash and workfare relief, quantities of relief received, and constraints on the access to relief.
Health: Access to health facilities and rates of foregone healthcare, knowledge of COVID-19 related symptoms and protective behaviours.
Topic | Vocabulary |
---|---|
Agriculture & Rural Development | FAO |
Fragile & Conflict-affected States | FAO |
Jharkhand, Rajasthan, Uttar Pradesh, Andhra Pradesh, Bihar, and Madhya Pradesh
Name |
---|
The World Bank |
Name | Role |
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The World Bank | Funded the survey |
The samples for these surveys were drawn from surveys and impact evaluations previously conducted by the World Bank, the Ministry of Rural Development, India and IDInsight. A detailed note on the sampling frames is available for download.
Details will be made available after all rounds of data collection and analysis is complete.
Approximately 55%
Details will be made available after all rounds of data collection and analysis is complete.
Start | End | Cycle |
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2020-05-05 | 2020-05-10 | Round 1 |
Is signing of a confidentiality declaration required? | Confidentiality declaration text |
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yes | The users shall not take any action with the purpose of identifying any individual entity (i.e. person, household, enterprise, etc.) in the micro dataset(s). If such a disclosure is made inadvertently, no use will be made of the information, and it will be reported immediately to FAO |
Micro datasets disseminated by FAO shall only be allowed for research and statistical purposes. Any user which requests access working for a commercial company will not be granted access to any micro dataset regardless of their specified purpose. Users requesting access to any datasets must agree to the following minimal conditions:
Use of the dataset must be acknowledged using a citation which would include:
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses
Name | Affiliation | |
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Gayatri Acharya | The World Bank | [email protected] |
DDI_IND_2020_CRSS-W1_v01_EN_M_v01_A_OCS_FAO
Name | Affiliation | Role |
---|---|---|
Development Economics Data Group | The World Bank | Documentation of the DDI |
Office of Chief Statistician | Food and Agriculture Organization | Adoption of metadata for FAM |
IND_2020_CRSS-W1_v01_EN_M_v01_A_OCS_v01