Data · dataset · 2026
Impact of COVID-19 on household hunger and socio-economic inequality in South Africa: a comparative analysis using NIDS-CRAM (2020-2021) and NFNSS 2022 data
Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.14749/32359740
Food insecurity is a persistent socio-economic challenge in South Africa that was sharply exacerbated by the COVID-19 pandemic.
Description
This study compares household hunger during the acute pandemic period and the early recovery phase and examines how socio-economic inequalities in food security evolved. We analyzed five waves of the National Income Dynamics Study—Coronavirus Rapid Mobile Survey (NIDS-CRAM, 2020–2021) and the National Food and Nutrition Security Survey (NFNSS, 2022).
A harmonized 7-day household hunger indicator was recoded as “no household hunger” and modeled using survey-weighted logistic regression. Socio-economic-related inequality in being hunger-free was assessed using the Erreygers Concentration Index and decomposition analysis, with sensitivity checks for alternative socio-economic status (SES) specifications and model diagnostics. Hunger peaked at 26.47% in Wave 1 of NIDS-CRAM and declined to 16.07% by Wave 5, before falling to 8.19% in NFNSS.
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Improvements were uneven; several provinces, notably the Northern Cape, Free State and North West, remained comparatively food insecure. Across all waves and NFNSS, higher SES was strongly associated with a lower risk of hunger, and living in informal or traditional dwellings and larger household size were consistently associated with a higher risk of hunger. Erreygers indices were positive in all periods, indicating pro-rich inequality in food security that intensified during the pandemic and narrowed only modestly post-pandemic, with SES the dominant contributor.
Although household hunger declined below pandemic peaks, the recovery in food security has been unequal and remains strongly patterned by socio-economic status and place, underscoring the need for structural, equity-focused policy responses.
Links
Where it is published
- DOI doi.org/10.14749/32359740 ↗
DOI / persistent id · from zivahub uct ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from zivahub uct ac za
Topics
- From keywords
- Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Economics & Finance · Medicine & Health · Medicine & Health · Medicine & Health
- Inferred from text
- Epidemiology 72%
Provenance · 3 source records, 15 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ZivaHub | oai:figshare.com:article/32359740 | 5 d ago | JSON v1 |
| Deakin Research Online | oai:figshare.com:article/32359740 | 5 d ago | JSON v1 |
| DMU Figshare | oai:figshare.com:article/32359740 | 5 d ago | JSON v1 |
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|---|---|---|---|
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| concepts[field].local:field:earth-environmental | mapping · figshare dmu ac uk | connector:figshare_dmu_ac_uk@1.0.0 | |
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| title | source · zivahub uct ac za | connector:zivahub_uct_ac_za@1.0.0 | /metadata/dc/title |