The data from Wave 1 of NIDS-CRAM showed that women were disproportionately affected by the COVID-19 crisis and the first month of the lockdown period in South Africa. Not only were they much more likely than men to lose their jobs between February and April or to work fewer hours compared to the pre-crisis period, they also took on a greater share of the additional childcare as a result of school closures and the suspension of all childcare services.
A report stemming from NIDS-CRAM wave 1, a project consisting of work by a national consortium of 30 social science researchers from five South African universities. The consortium will conduct the National Income Dynamics Study (NIDS) Coronavirus Rapid Mobile Survey (CRAM) over the course of May – December 2020. The NIDS-CRAM project exists to collect, analyze and disseminate data on a broadly representative sample of South African individuals, and to report on their employment and welfare in light of the COVID-19 pandemic.
A report stemming from NIDS-CRAM wave 1, a project consisting of work by a national consortium of 30 social science researchers from five South African universities. The consortium will conduct the National Income Dynamics Study (NIDS) Coronavirus Rapid Mobile Survey (CRAM) over the course of May – December 2020. The NIDS-CRAM project exists to collect, analyze and disseminate data on a broadly representative sample of South African individuals, and to report on their employment and welfare in light of the COVID-19 pandemic.
The overview and findings of NIDS-CRAM wave 1, consisting of work by a national consortium of 30 social science researchers from five South African universities. The consortium will conduct the National Income Dynamics Study (NIDS) Coronavirus Rapid Mobile Survey (CRAM) over the course of May – December 2020. The NIDS-CRAM project exists to collect, analyze and disseminate data on a broadly representative sample of South African individuals, and to report on their employment and welfare in light of the COVID-19 pandemic.
The first wave of the National Income Dynamics Study – Coronavirus Rapid Mobile Survey (NIDSCRAM) provided strong evidence that there had been a drastic increase in both adult and child hunger in the survey months, May and June 2020, and that almost half of all households had on occasion run out of money for food during April 2020.
I use the latest (16 May) version of the OxCGRT dataset to answer three fairly common questions about COVID-19 in the South African context. The three questions are: (1) Is South Africa’s curve a relatively flat one? (2.) Does South Africa have ‘one of the toughest lockdowns on earth’? (3.) How do restrictions and ‘flattening the curve’ relate to each other, and where does South Africa fit in?
Good policymaking requires reliable, comparable statistics over time. Despite there being an annual survey of agricultural firms in South Africa, confusion exists about the number of commercial farms in South Africa and the structure of the agricultural sector. According to the agricultural census in 2007, there were 39 966 commercial farms, while the agricultural survey mentions a figure of 64 192 and 57 126 in 2008 and 2017, respectively. With such diverging numbers across time, which figures should we trust and how does one analyse trends in the sector and make evidence-based decisions?
Stellenbosch Working Paper Series No. WP17/2015 Abstract: This study examines the enduring spatial and racial dimensions of poverty and deprivation in South Africa to assess…
Stellenbosch Working Paper Series No. WP05/2014 Publication date: 2014 Abstract: We examine the case for donors providing financial incentives to NGOs to increase community participation….
© 2024 Research on Socio-Economic Policy (RESEP). All rights reserved
