Household Food Consumption Research Articles

Characterising "obesogenic" versus "protective" food consumption, and their value chain among Ghanaian households.

This paper explores the characteristics of Ghanaian households' consumption of obesogenic versus protective foods, including their retail, distribution, and origin. A household food consumption survey was conducted using an adapted Prospective Urban and Rural Epidemiology study Food Frequency Questionnaire. Product pathways for selected obesogenic (processed meat, Sugar-Sweetened Beverages, and biscuits) and protective (cooked vegetables, legumes, and fish) foods were traced from retailers through distributors/wholesalers to producers. Rural and urban communities in the Ashanti Region and selected retail/wholesale/producers nationwide. 612 households, 209 retailers and 185 wholesalers/distributors. About 20% of households consume Sugar-Sweetened Beverages (SSB) and confectionery weekly, and just 2% consumed processed meat. Of the protective foods, fish had the highest proportion of households consuming weekly (74.5%), followed by cooked vegetables (53.1%) and legumes (22.8%). Frequent SSB consumption is higher in younger (p<0.001), male (p=0.010), urban (p<0.001), and more educated (p<0.001) food purchaser households. Below 10% of households followed the healthiest dietary pattern (high-protective-and-low-obesogenic) but higher in older and more educated food purchaser households. In contrast, most households (about 80%) consumption patterns did not discriminate between obesogenic and protective foods. Generally, characteristics of purchasers from retail/wholesale outlets agree with those of households, where obesogenic foods were retailed to younger, less educated buyers than older, more educated ones. While the protective foods had a strong local producer presence, the obesogenic foods were predominantly imported. Household consumption and retail/distribution of obesogenic foods are associated with socio-demographic characteristics, but obesogenic foods are almost entirely produced outside Ghana. Policies that regulate importation on health grounds can promote a healthier food environment.

Factors and comparative analysis of COVID-19’s impact on household food security in rural and urban regions.

Introduction: The COVID-19 pandemic has significantly affected household food security in Indonesia, particularly in both rural and urban areas. This study compares food security between rural and urban households during the pandemic. This study aims to compare food security between rural (Paser Regency) and urban (Balikpapan City) households during the pandemic. Methods: Using a cross-sectional design, 300 households were sampled (150 each from Balikpapan and Paser), with data collected through interviews and questionnaires. Household income, food, and non-food expenditure were analyzed using descriptive statistics and Pearson correlation with IBM SPSS Statistics 24. Result: The results show that increased food (r = 0.230, p &lt; 0.01) and non-food (r = 0.113, p &lt; 0.05) expenditure are positively correlated with food security. In Balikpapan, 18% of households saw a decrease in food expenditure compared to 11% in Paser, while non-food spending increased in 41.3% of Balikpapan households compared to 36% in Paser. Social assistance also had a positive impact (r = 0.149, p &lt; 0.01), with 61.3% of households in Paser receiving aid compared to 51.3% in Balikpapan. Spending on staple foods like vegetables and proteins also contributed to food security (r = 0.126, p &lt; 0.05). Mothers in Balikpapan were more concerned about food availability (71.3%) than in Paser (69.3%). Conclusion: Balikpapan faced more severe financial impacts and household concerns during the pandemic, while Paser showed greater stability. Key factors influencing food security included increased spending on food and non-food items, health concerns, and the effectiveness of social assistance in both regions.

Analisis Pemasaran Maggot BSF (Black Soldier Fly) Desa Bojo

This study aims to analyze the marketing system of maggot bsf in Bojo Village. Based on the results of observations and interviews in Bojo Village, the main problem was found, namely household waste. The garbage was thrown out of place, the garbage was found scattered on the beach and close to residential areas. The waste that is wasted includes organic waste from household waste. Organic waste can cause environmental problems such as air and soil pollution and cause various negative impacts on public health. A solution that can be done by village communities is maggot cultivation from Black Soldier Fly (BSF) flies, as an effective and easy way to manage organic waste. By cultivating maggot for organic waste, we can create a high-value resource that can have a positive impact on the environment and the economy of the village community. Maggot cultivation aims to decompose organic matter left over from household food consumption. Able to digest organic waste quickly so that it helps reduce the volume of organic waste. In addition, maggots are also able to prevent uncontrolled accumulation of waste. In fact, casgot which is the result of the decomposition of waste carried out by maggot can produce high-quality organic fertilizer that can increase soil fertility. Maggot has a high nutrient content that helps local agriculture. Maggot cultivation can also be a new business opportunity for village communities because it can be sold as animal feed. It has an impact on increasing the income of the local community.

Cross-Sectional Analysis of Household Food Demand in Estuaire Gabon: A Near-Ideal Quadratic Demand System Approach

Gabon depends heavily on food imports to safeguard its food security; yet household food consumption patterns remain underexplored. This study investigates the structure of food demand in the Estuaire region, incorporating demographic determinants such as the age of the household head, household size, youth proportion, and residential distance from shopping centers. Using primary data collected from a randomized survey of 410 households, the analysis employs the Quadratic Almost Ideal Demand System (QUAIDS) model to estimate expenditure and price elasticities. The results indicate that expenditure elasticities are universally positive, with luxury items, including meat, eggs, and fish, exhibiting greater sensitivity compared to staple foods such as poultry, oil, rice, cassava, and bananas, which display inelastic demand. Price elasticities for meat, poultry, fish, eggs, and rice are negative, adhering to the law of demand. Demographic factors, including education, age, and residential location, significantly influence the consumption of meat, cassava, bananas, and oil. Household size, employment type, and youth composition also emerge as critical determinants of increased demand for poultry, fish, and rice. These findings offer policy-relevant insights to strengthen food security and address socioeconomic disparities.

The effect of traditional agricultural practices on the food consumption of households facing extreme weather events in Tanzania

BackgroundAn estimated 140 million people in Africa face acute malnutrition. By impacting agricultural production, climate change is likely to further decrease food consumption, particularly in sub-Saharan African states. Against this backdrop, various actors have called for more attention to alternative farming and food systems based on traditional agricultural knowledge capable of ensuring access to sufficient, nutritious, and safe food. So far, however, we have limited systematic evidence on which traditional agricultural practices may promote the food resilience of households exposed to extreme climatic conditions. Focusing on the most prevalent traditional diversification practices in Tanzania, this study assesses the extent to which crop diversification, annual crop intercropping, crop-tree intercropping, crop-livestock integration, and the cultivation of traditional crops increase the food availability and dietary diversity of smallholders facing extreme weather events in Tanzania.MethodsWe combine temperature and rain data with information on farming practices and food consumption information provided by the Living Standards Measurement Study–Integrated Surveys on Agriculture for more than 25,000 Tanzanian households nationwide. We rely on a matched differences-in-differences approach to account for selection bias and allow for causal inference.ResultsOur matching models consistently show that the planting of traditional crops (in particular sorghum) promotes dietary diversity and reduces the need for food rationing in households experiencing climate shocks. In contrast, households relying on maize cultivation show less dietary diversity and increased food rationing behavior. In addition, we find that—under extreme weather conditions—crop diversification furthers households’ dietary diversity, and crop-livestock integration, as well as crop-tree intercropping, seem to reduce households’ need to ration food.Conclusion and policy recommendationThis study has important implications for policymakers. In light of climate change and weather variability, it underscores the need to better integrate indigenous knowledge into farming systems. Our results call for greater dissemination of traditional diversification strategies and more reliance on indigenous, drought-tolerant crops. Traditional farming practices can function as a safety net, protecting smallholders in Tanzania against the detrimental consequences of weather shocks.

Patterns, Determinants, and Elasticity of Household Food Consumption in Indonesia (Period 2021-2022)

Introduction/Main Objectives: The increase in strategic food commodity prices significantly contributed to inflation, with the food, beverage, and tobacco category reaching 3.59% in March 2022. This price hike reduced household purchasing power, affecting welfare. This research examines how rising food prices impact household food consumption patterns in Indonesia. Background Problems: This study explores the effects of rising food prices on household consumption patterns. It addresses two key questions: What are household food consumption patterns, and what factors influence them? What is the elasticity of food demand in Indonesia between March 2021 and March 2022? Novelty: The study’s novelty lies in calculating food demand elasticity using demand theory assumptions, ensuring reliable results—unlike many studies that overlook these assumptions. Research Methods: The study uses the Linear Approximated-Almost Ideal Demand System (LA-AIDS) model with the Seemingly Unrelated Regression (SUR) method. Findings/Results: The results show that rising food prices in March 2022 changed household food consumption patterns. Own-price elasticity was negative, indicating reduced demand. Cross-price elasticity varied, with some food groups showing negative and others positive effects. All food groups were classified as normal goods based on expenditure elasticity.

COVID-19, food insecurity and panic buying behavior: Evidence from rural Bangladesh

AbstractThe uncertainties, such as the pandemic (COVID-19), natural calamities, and war, disrupt agricultural production and supply chains, leading to concerns about food access in developing countries. Therefore, this study uses panel data collected through three survey rounds in June and September 2020 and January 2021 to analyze changes in household food expenditure and consumption behaviors and to investigate the association between household characteristics and food insecurity. The results show that households with diverse income sources, including multiple farm products, non-farm businesses, and remittances from absent members, are less likely to reduce food consumption quality and quantity, and be in the lower tail of food expenditure distribution. -However, households in the upper tail of the food expenditure distribution aggressively stock up on food in the second quarter of the year, fearing that lockdown measures would interrupt the food supply. These households tend to have an urban way of living characterized by salaried jobs, small family size, high educational attainment, and proximity to the capital city. The levels of food expenditure remain high even after the lifting of lockdown and movement restrictions, and the reason might be possible uncertainty about crop harvests, despite the eventual good harvests in the year. Overall, these findings suggest that diversification of income sources for rural households in developing countries can help households cope with disruptions to food production and supply chains. The findings also suggest that policies to ensure food access during the pandemic should target households with limited income sources and those in the lower tail of the food expenditure distribution.

Household Food Expenditure Typology and Its Association with Child Stunting and Anemia in Indonesia

Household Food Expenditure Typology and Its Association with Child Stunting and Anemia in Indonesia

A Study of the Role of Income, Consumption Patterns and Time in Shaping Food Expenditure in India

Aims: we sought to determine the key factors affecting per capita monthly expenditure on food across Indian states over time. Study Design: This is a quantitative, cross-sectional study that uses existing data from National Sample Survey (NSS), 61st, 66th and 68th rounds. Methodology: We compiled datasets on 10 independent variables believed to influence monthly per capita expenditure (MPCE) across 17 Indian states over three distinct time periods (2004-05, 2009-10, 2011-12). These variables include household size, dependency ratio, milk availability, Gross State Domestic Product (GSDP), literacy rate, a time dummy variable, poverty rate, and consumption patterns of cereals, pulses, and non-vegetarian food. Results: The analysis of 68 observations identified key factors influencing household food consumption expenditure. milk consumption showed a positive correlation with expenditure, yielding a coefficient of 1.106 (p =0.001) as did literacy rate (coefficient = 10.018, p = 0.045), expenditure on non-food items (coefficient = 0.086, p = 0.001), and expenditure share on eggs and meat (coefficient = 29.011, p = 0.001). Time dummy variables indicated rising expenditures over time, with coefficients of 517.76 (p = 0.001) for 2009-10, 703.93 (p = 0.001) for 2011-12, and 2324.29 (p = 0.001) for 2022-23. Overall, the model accounted for 90.9% of the variance in food consumption expenditure. Conclusion: Higher per capita milk availability leads to increased overall food spending, while the time factor indicates a trend of rising expenditures, likely linked to changing consumption patterns and incomes. literacy rate also positively affect food expenditure choices The analysis also shows that spending on protein-rich foods, such as eggs and meat, positively affects overall food expenditure.

Analysing the contribution of trees and green spaces to household nutrition security in eThekwini, KwaZulu-Natal, South Africa

Food from trees and green spaces can diversify diets and enhance food and nutrition security for households. However, sourcing food from these areas often receives little attention in addressing nutrition issues. This study assessed the contribution of trees and green spaces to household food consumption and nutrition in the eThekwini Municipal Area (EMA) located in KwaZulu-Natal South Africa, focusing on the Osindisweni and Maphephetheni communities, which are biologically diverse and face high poverty, unemployment, and food insecurity. Using stratified random sampling, 280 households were selected to complete questionnaires. Additionally, two Focus Group Discussions (FDG's) and key informant interviews were conducted with community members and municipal representatives. Data were analyzed using descriptive statistics, the Household Food Consumption Score (FCS), Ordered Logistic Regression and a thematic analysis was done to analyse responses from Focus Group Discussions. The results showed that 93.6% of households consumed acceptable diets, with only 5.0% in the borderline and 1.4% in the poor categories. Specifically, Osindisweni and Maphephetheni households reported 93.3% and 93.7% acceptable diets, respectively. Ordered logistic regression indicated that both cultivated and uncultivated green spaces, household size, number of dependants, as well as access to training, agricultural assistance, extension, and advisory services negatively correlated with nutrition security. While communities recognized the contributions of trees and green spaces, they believed that these sources alone were insufficient. It is concluded that consumption of products from trees and green spaces likely did not improve the nutrition security of the households. To improve household nutrition security in eThekwini, it is vital to foster collaboration among stakeholders, including nutritionists and extension agents. Strengthening the knowledge of extension officers regarding the harvesting and consumption of food from trees and green spaces is crucial for disseminating effective guidance to households, thereby enhancing nutrition outcomes.

Dietary transitions in Indonesia: the case of urban, rural, and forested areas

This study examines food consumption patterns in Indonesia across urban, rural, and forested areas with varying levels of tree cover loss (TCL). Using household food consumption data from the National Socio-economic Survey in 2008 and 2017, and data from the Global Forest Watch website, we identify differences in food consumption patterns in urban, rural, and forested areas with high and low TCL. The results indicate a dietary transition is occurring in Indonesia, characterized by increased consumption of wheat, chicken, fish, sugar-sweetened beverages, processed, ultra-processed, and ready-to-eat foods, and a decline in the consumption of green leafy vegetables and fresh legumes across all area categories. Diet quality is declining in all area categories, however, urban areas showed the most accelerated decline, with declining dietary diversity, decreasing consumption of healthy foods, while increasing consumption of less healthy foods and the highest consumption of ultra-processed foods. Furthermore, foods consumed more in urban (vs. rural) and high-TCL (vs. low-TCL) areas, such as wheat, broiler chicken, dairy, and packaged foods, are associated with modern diets and sourced from farther away, indicating accelerated modernization and delocalization of diets. Conversely, foods consumed more in rural and low-TCL areas, such as traditional staple foods, free-range eggs, and dark green leafy vegetables, are considered more locally sourced and traditional. We conclude that dietary transitions occur across all regions, but the modernization of diets is more accelerated in urban and high-TCL areas. Given the mixed health consequences of modern diets, policies should anticipate negative impacts while preserving positive aspects.

Determinants of household participation in the cassava value-chain in South Africa

Cassava’s adaptability to different agroecological conditions, high yield, as well as its ability to thrive under harsh climatic conditions, makes it an essential food security crop. In South Africa, the cassava value chain is currently uncoordinated and underdeveloped, with a couple of smallholder farmers growing the crop for household consumption and as a source of income. Other farmers regard it as a secondary crop and hardly any producers grow it for industrial purposes. Hence, this study sought to analyze the determinants of household participation in the cassava value chain in South Africa. The study employed the multivariate probit model to analyze the determinants of household participation in the cassava value chain in South Africa, using a primary dataset collected through a simple sample method from smallholder farmers in KwaZulu-Natal, Mpumalanga, and Limpopo provinces. Results show that livestock ownership has a positive and significant effect on the likelihood of farmers participating in the value chain by growing cassava for household food consumption. Also, findings reveal that hiring labour in cassava production and an increase in the yield during the previous season increases the probability of farmers’ interest in selling cassava tubers along the value chain. Hence, the positive and statistically significant influence of hiring labour during cassava production in driving the farmers’ interest in selling cassava tubers and cuttings implies that the development of the cassava value chain presents great opportunities for creating jobs (employment) in the country. Also, policy interventions that ensure land tenure security and empower farmers to increase their cassava yields are bound to encourage further participation in the value chain with an interest in selling fresh tubers, among other derived products to generate income. Lastly, programmes that empower and encourage youth participation in the cassava value chain can increase the number of farmers interested in selling cassava products.

How to Enhance Resilience Against the Adverse Effects of Climate Change: Evidence from Boro Rice Farmers in Northeast Bangladesh

ABSTRACTBoro rice cultivation in the Haor (wetland) environment of northeastern Bangladesh is extremely vulnerable to flash floods. This study examines how flash floods in the Haor region affect crop income and household food consumption. For this research, household‐level data were generated from the “Bangladesh Integrated Household Survey (BIHS) 2018‐19,” which is a nationwide dataset of 5604 households across 64 districts of the country. However, this paper represents a sample of 428 farm households in six Haor‐concentrated districts (Sunamganj, Sylhet, Habiganj, Maulvibazar, Kishoreganj, and Netrakona) of northeastern Bangladesh. These districts were selected based on the climate shock data (damaged Boro land due to flash floods) from the “Yearbook of Agricultural Statistics‐2018.” Descriptive results uncover that in 2017, flash floods inundated about one‐third of the standing Boro rice lands of Haor farmers. This study employed simultaneous quantile regression, which reveals flash floods extensively decrease crop income. Nevertheless, a male‐headed and educated family, a larger farm, and livestock asset availability in the household are the pivotal determinants that protect crop income. Moreover, flash floods negatively impact the consumption of home‐produced food, but the consumption of purchased food remains unaffected. Notably, possession of farmlands and livestock assets encourages food consumption from own production, while household access to credit enhances consumption of purchased food. Livestock‐raising households could increase their consumption of self‐produced food, increase their agricultural income, and be more resilient to climatic shocks. Hence, this study emphasizes the policy intervention that prioritizes the upbringing of livestock assets in farm households. In addition, policy‐enhancing farmers' credit access is crucial for smoothing their purchased food consumption and mitigating the adverse effects of climatic events. Therefore, livestock assets and credit availability in farm households are profoundly resilient against the adverse effects of climatic shocks in northeastern Bangladesh.

Current and potential contributions of large-scale food fortification to meeting micronutrient requirements in Senegal: a modelling study using household food consumption data

IntroductionMicronutrient deficiencies are common among women of reproductive age (WRA) and children in Senegal. Large-scale food fortification (LSFF) can help fill gaps in dietary intake.MethodsWe used household food consumption data...

Exploring Education-Induced Bargaining Power of Women on Household Welfare in Sub-Saharan Africa

Women’s education and empowerment have engaged the interest of policymakers and academics for many years. We employ individual-level data from Ghana and Uganda in this paper to offer a comparative analysis of the impact of women’s education and empowerment on six household welfare indicators: child labor, child school enrollment, female labor force participation, fertility rate, household food expenditure, and nutrition intake. Comparing the two countries is insightful due to their distinct socio-economic structures and cultural contexts, which might influence the dynamics of women’s empowerment differently. The study utilizes the Ordinary Least Squares (OLS) and Instrumental Variables (IV) regressions and provides a battery of robustness tests. The empirical results show that in a household, the woman’s and man’s education levels are significant determinants of household welfare. However, contrary to common assumptions, the woman’s education does not have a stronger effect than the man’s, and her relative bargaining position has negligible effects on the welfare indicators studied, at least for the cases of Ghana and Uganda. Further sensitivity checks support these findings, suggesting that female education can improve household welfare, but its impact may not necessarily operate through enhanced bargaining power within the household.

Influence of multigenerational and living-alone households on high fat, sugar or sodium (HFSS) food consumption pattern in aging population

ObjectivesTo investigate the correlation between household composition and consumption of different groups of high fat, sugar or sodium (HFSS) among older persons in Thailand. Study designThis study used cross-sectional data from the 2021 population-based survey called the Health Behavior of Population Survey. MethodsData from this study were drawn from 39,384 sampled Thai older persons age 60 years or over. A food frequency questionnaire was used to collect information about frequency of HFSS food consumption, household composition, and socio-demographic characteristics. Binary logistic regression was performed to investigate correlations between household composition and food consumption. ResultsMore than three in five older Thais lived in a multigenerational home. The probabilities of consuming high-fat food, fast food, and snacks among older persons who lived with working-age person(s) and child(ren)/adolescents were much higher than for those living alone. Older persons who lived alone had the highest probability of consuming instant food, compared with other types of household composition. Participants who lived with child(ren)/adolescents only or with working-age person(s) only (p ≤ 0.01) and child(ren)/adolescents only (p ≤ 0.001) were more likely to consume sugar-sweetened beverages (SSB). ConclusionsThe findings point to life course interventions to discourage HFSS consumption across generations. Social interventions and public policy aiming at increasing intergenerational interactions could be beneficial for healthier diets for not only older persons but also across generations.

Food acquisition and consumption by NOVA food classification and lived poverty index among rural and urban households in South Africa and Ghana.

This study aimed to determine differences in food consumption by the NOVA food categories in South Africa and Ghana and how they relate to poverty and food supply systems. This study used a cross-sectional design to assess household food acquisition and lived poverty index. The study was conducted in Khayelitsha and Mount Frere, urban and rural communities in South Africa, respectively, and Ahodwo and Ejuratia, urban and rural communities in Ghana, respectively. An adult in charge of or knowledgeable about household food acquisition and consumption was selected to participate in the study. A total of 1299 households participated in the study. Supermarkets were a prominent source of ultra-processed foods for households in South Africa, while informal outlets were an important source of ultra-processed foods in Ghana. Consumption of unprocessed foods was higher among South African households (58·2 %) than Ghanaian households (41·8 %). In South Africa, deprivation was associated with increased odds of infrequent consumption of both unprocessed foods (OR 3·431 P < 0·001) and ultra-processed foods (OR 2·656 P < 0·001) compared with non-deprivation. In Ghana, no significant differences were observed between deprived households and non-deprived households in relation to the consumption of the NOVA food classes. Different food supply systems and poverty are associated with household acquisition of the different NOVA food classes. Policies should be geared towards formal shops in South Africa and informal shops in Ghana to reduce the consumption of key obesogenic foods.

Taste and Habit of Food and Consumer Behavior in the USA in the Early Years of Covid-19 Pandemic

The USA, a highly advanced economy in the world, had experienced increase in household demand for specific food items (restaurant and cafeteria supply, in particular) in the early years of Cobid-19 pandemic. People of America depended largely on the tastes and habits of food items in their household consumption. Even with increasing prices the demand for restaurant foods showed increasing trends. This means that the consumption of food away from home (FAFH) increased and food at home (FAH) fell in demand in 2020 and 2021 (Covid- 19 pandemic). Fundamental law of demand in economics (Ceteris Paribus) for normal goods demand will fall if price of the same increases and vice versa. In the present study, rise in prices of normal goods (restaurant and cafeteria foods) had also shown increase in their demand. This perhaps shows paradoxical to the law of demand in economic theory.  Methodology: This is a study based on secondary sources of information including research works, official publications and those from academic institutions. Analysis of data generated and narratives have been used to find the contemporary food economy of the USA. The demand for food (both FAFH and FAH) has been given importance in the situation of food inflation in the USA in early years of Covid- 19 pandemic. Finally, the equilibrium of the household food consumption is shown geometrically (Fig-1).  Findings and Results: It is found from the study that while the price of food away from home (FAFH) was increasing, the demand for those was also increasing in 2020 and 2021 in the USA. Food being a ‘normal good’ might have shown a fall in demand when price was increasing. This is perhaps, paradoxical in view of the law of demand in economic theory.

Gender (Women-Led Households) as a Determinant of Consumption Expenditure on Food during March 2020 – A Case Study of Maharashtra

This study examines the factors influencing food expenditure in urban and rural households of Maharashtra, with a focus on gender dynamics during the COVID-19 lockdown in March 2020. Utilizing secondary data from the Consumer Pyramid Household Survey (CPHS), the analysis employs regression techniques to investigate the impact of Adjusted Total Income, Gender Group, Age Group, Occupation Group, Education Group, and Household Size on Adjusted Food Expenditure. The results reveal that Adjusted Total Income, Age Group, Gender Group, Education Group, and Household Size are significant predictors of food expenditure, with women-led households demonstrating a crucial role in managing food resources. Women’s spending patterns reflect their prioritization of food security, particularly during economic crises, aligning with previous research highlighting their central role in household budgeting. In contrast, Occupation Group does not significantly influence food expenditure in this context. The findings underscore the importance of considering gender dynamics in food expenditure analyses and suggest that policy interventions should focus on supporting women-led households to enhance food security and manage economic disruptions effectively.

Recurrent Flooding and Household Food Access in Central Java, Indonesia.

It is unknown how recurring flooding impacts household diet in Central Java. We aimed to assess how recurrent flooding influenced household food access over 22 years in Central Java by linking the Global Surface Water dataset (GSW) to the Indonesian Family Life Survey. We examined linear and nonlinear relationships and joint effects with indicators of adaptive capacity. We measured recurrent flooding as the fraction of district raster cells with episodic flooding from 1984-2015 using GSW. Food access outcomes were household food expenditure share (FES) and dietary diversity score (DDS). We fit generalized linear mixed models and random forest regression models. We detected joint effects with flooding and adaptive capacity. Wealth and access to credit were associated with improved FES and DDS. The effect of wealth on FES was stronger in households in more flood-affected districts, while access to credit was associated with reduced odds of DDS in more flood-affected districts. Flooding had more predictive importance for FES than for DDS. Access to credit, a factor that ordinarily improves food access, may not be effective in flood-prone areas. Wealthier households may be better able to adapt in terms of food access. Future research should incorporate land use data to understand how different locales are affected and further understand the complexity of these relationships.