COVID-19-Related Shocks in Rural India 2020, Round 2
India, 2020
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Reference ID
IND_2020_COVIDRS-R2_v01_M
Producer(s)
World Bank
Collection(s)
Metadata
Created on
Sep 18, 2020
Last modified
Jan 14, 2021
Page views
23560
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Identification
Survey ID Number
IND_2020_COVIDRS-R2_v01_M
Title
COVID-19-Related Shocks in Rural India 2020, Round 2
Subtitle
Round 2
Country/Economy
| Name | Country code |
|---|---|
| India | IND |
Study type
Other Household Survey [hh/oth]
Series Information
This is the secound round COVID-19-Related Shocks in Rural India 2020. There will be three rounds in total conducted.
The following are links to the first round of the study:
- Internal catalog (https://microdatalib.worldbank.org/index.php/catalog/11661)
- External/Public catalog (https://microdata.worldbank.org/index.php/catalog/3769)
The following are links to the first round of the study:
- Internal catalog (https://microdatalib.worldbank.org/index.php/catalog/11661)
- External/Public catalog (https://microdata.worldbank.org/index.php/catalog/3769)
Abstract
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, the World Bank, IDinsight, and the Development Data Lab sought to produce rigorous and responsive data for policymakers across six states in India: Jharkhand, Rajasthan, Uttar Pradesh, Andhra Pradesh, Bihar, and Madhya Pradesh.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household
Version
Version Description
Datasets are from surveys (on-going) by the AGF India team on COVID-19 socio-economic impacts in rural India. The current version includes data from the second round (of three) of state-representative surveys across six Indian states, and they cover indicators related to agriculture, migration, rural labour markets, consumption patterns, access to relief and healthcare.
Scope
Notes
The COVID-19-Related Shocks Surveys in Rural India cover the following subjects:
1. Agriculture: COVID-19-related changes in price realisation, acreage decisions, input expenditure, access to credit, access to fertilisers, etc.
2. Income and consumption: Changes in wage rates, employment duration, consumption expenditure, prices of essential commodities, status of food security etc.
3. Migration: Rates of in-migration, migrant income and employment status, return migration plans etc.
4. Access to relief: Access to in-kind, cash and workfare relief, quantities of relief received, and constraints on the access to relief.
5. Health: Access to health facilities and rates of foregone healthcare, knowledge of COVID-19 related symptoms and protective behaviours.
1. Agriculture: COVID-19-related changes in price realisation, acreage decisions, input expenditure, access to credit, access to fertilisers, etc.
2. Income and consumption: Changes in wage rates, employment duration, consumption expenditure, prices of essential commodities, status of food security etc.
3. Migration: Rates of in-migration, migrant income and employment status, return migration plans etc.
4. Access to relief: Access to in-kind, cash and workfare relief, quantities of relief received, and constraints on the access to relief.
5. Health: Access to health facilities and rates of foregone healthcare, knowledge of COVID-19 related symptoms and protective behaviours.
Coverage
Geographic Coverage
Jharkhand, Rajasthan, Uttar Pradesh, Andhra Pradesh, Bihar, and Madhya Pradesh
Producers and sponsors
Primary investigators
| Name |
|---|
| World Bank |
Sampling
Sampling Procedure
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.
Deviations from the Sample Design
Details will be made available after all rounds of data collection and analysis is complete.
Response Rate
~46%. The response rate does not include attempts made to invalid numbers. There were 972 such numbers in the sample. The response rate includes the 443 partially completed surveys.
Weighting
Details will be made available after all rounds of data collection and analysis is complete.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2020-07-19 | 2020-07-23 | Round 2 |
Data Collection Mode
Computer Assisted Telephone Interview [cati]
Data Collection Notes
Data were collected using telephonic surveys (CATI). Sampling frames have been drawn from previous surveys and have been documented in the "r2_sampling_frame_description.pdf". A final note on data collection will be developed and made available after all 3 rounds of data collection have been completed.
Questionnaires
Questionnaires
The survey questionnaire consists of the following modules:
- Module 0: Introduction
- Module 1: Agriculture
- Module 2: Migration
- Module 3: Consumption
- Module 4: Labour and Income
- Module 5: Access to Relief
- Module 6: Health
- Module 0: Introduction
- Module 1: Agriculture
- Module 2: Migration
- Module 3: Consumption
- Module 4: Labour and Income
- Module 5: Access to Relief
- Module 6: Health
Data Processing
Other Processing
The Development Data Lab examined the data for discrepancies and errors and merged the dataset with their proprietary spatial data.
Access policy
Contacts
| Name | Affiliation | |
|---|---|---|
| Alreena Renita Pinto | World Bank | apinto2@worldbank.org |
| Gayatri Acharya | World Bank | gacharya@worldbank.org |
Citation requirements
Use of the dataset must be acknowledged using a citation which would include:
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
The World Bank. Covid-19 Related Shocks in Rural India - Round 2 (COVIDRS-R2) 2020. Ref. IND_2020_COVIDRS-R2_v01_M. Dataset downloaded from [url] on [date].
- the Identification of the Primary Investigator
- the title of the survey (including country, acronym and year of implementation)
- the survey reference number
- the source and date of download
The World Bank. Covid-19 Related Shocks in Rural India - Round 2 (COVIDRS-R2) 2020. Ref. IND_2020_COVIDRS-R2_v01_M. Dataset downloaded from [url] on [date].
Location of Data Collection
First round (External)
Disclaimer and copyrights
Disclaimer
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.
Metadata production
DDI Document ID
DDI_IND_2020_COVIDRS-R2_v02_M_WB
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Development Economics Data Group | DECDG | The World Bank | Documentation of the DDI |
Date of Metadata Production
2020-09-15
DDI Document version
Version 02 (January 2021)
Identical to v01 with updates to Abstract and Data Processing sections.
Identical to v01 with updates to Abstract and Data Processing sections.