In 2021, the Government of Nigeria, with IITA and technical support from Intake, conducted a National Food Consumption and Micronutrient Survey (NFCMS). Funding for the survey was provided by the Gates Foundation, the Foreign, Commonwealth & Development Office (UK), Nutrition International, UNICEF, USAID, and the World Bank.

This web-page provides a set of interactive data visualizations to summarize a selection of results for the dietary component of the survey. The web-page has been prepared for participants invited to attend the Dietary Data Use Workshop in Abuja, Nigeria 12-14 August, 2024.

Data visualizations are presented in six parts: Part I. Macronutrient Contribution to Energy Intake; Part II. Nutrient Intake Inadequacy; Part III. Diet Quality Metrics for Women; Part IV. Diets of Infants and Young Children; Part V. Consumption of Biofortified Foods; and Part VI. Main Food Sources of Energy and Nutrients.

We invite you to explore the data visualizations below to learn about the results from the dietary component of the national survey.

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Nigeria Dietary Data Visualizations
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About the NFCMS Data

Data for the NFCMS was collected in 2021 using a probability sample, population-based cross-sectional survey, with stratification by six regions: 1. North Central 2. North East 3. North West 4. South East 5. South South 6. South West

Sampling within each region followed a two-stage random selection strategy. In the first stage, EAs were selected by adopting principles of Probability Proportional to Size (PPS) using systematic sampling. Sixty-five (65) EAs within each region were selected. In the second stage, eligible respondents were randomly selected within the sampled EAs.

The demographic groups of focus for the survey were: women of reproductive age (WRA) aged 15-49 years, pregnant women aged 15-49 years, and children aged 6-59 months and micronutrient status of non-pregnant adolescent girls aged 10-14 years.

For the dietary component of the survey, data was collected using a diet questionnaire (topics included infant feeding, biofortification, and fortification) immediately followed by a quantitative 24-hour dietary recall collected using the INDDEX24 Dietary Assessment Platform. A sub-sample of respondents completed a repeat interview two to three days later, these respondents completed a short diet questionnaire followed by a quantitative 24-hour dietary recall collected using INDDEX24.

Note: All data visualizations below reflect analyses adjusted for survey sampling weights adjusted for non-response.

Part I. Macronutrient Contribution to Energy Intake

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    The visualizations in Part I provide show the mean percent of macronutrient contribution to energy intake by demographic group at the national level, and by residence (urban vs. rural area).

     

Figure 1 shows the mean percent macronutrient contribution to energy intake at the national level, and by urban and rural area, for non-pregnant women, pregnant women, and children 24-59 months.
Interact with the figure by selecting the demographic group of interest for viewing results. Scroll over the pie chart to see detailed results for a given macronutrient.
Part II. Nutrient Intake Inadequacy

  • Part II of the the dietary data visualizations focus on results for nutrient intake inadequacy. Results are presented for the following nutrients: protein, calcium, iron, zinc, vitamin A, thiamine, riboflavin, folate, vitamin B12, and vitamin C. The visualizations in Part II provide these results for each demographic group at the national level and by residence (urban vs. rural area). In addition, data for non-pregnant women are presented by zone and wealth quintile, and data for children are presented by sex 

     

Figure 2 shows the percent nutrient intake inadequacy by demographic group.  
Use the top menu to interact with the figure to view the prevalence of intake inadequacy for different demographic groups for a selected nutrient of focus. Scroll over the figure to view detailed results for a specific demographic group and nutrient. 
Figure 3 shows the prevalence of nutrient intake inadequacy in urban and rural areas for non-pregnant women, pregnant women, and children 24-59 months. 
Interact with the figure to view results for a selected nutrient. Scroll over the figure to see detailed results for a given demographic group for a selected nutrient of focus.
To explore the prevalence of nutrient intake inadequacy among non-pregnant women by region, select a nutrient of interest from the menu above the map in Figure 4. This will allow you to view the corresponding data in the map. To see the prevalence of inadequacy for a given nutrient, scroll over the region of interest.

 

Figure 5 shows prevalence of nutrient intake inadequacy among non-pregnant women by wealth quintile.
Interact with the figure by using the menu on the top panel to select a nutrient of interest. Explore how the prevalence of intake inadequacy varies across wealth quintile and across the set of different nutrients. 
Part III. Diet Quality Metrics for Women

  • Part III of these dietary data visualizations present results for three diet quality metrics for women: 1. The Minimum Dietary Diversity for Women (MDD-W), a metric to assess dietary diversity; 2. The Global Diet Quality Score (GDQS), a metric of overall diet quality as it relates to nutrient adequacy and reduced risk of diet-related non-communicable diseases (NCDs); and 3. The Global Diet Recommendations (GDR) Score, a metric developed to proxy WHO dietary recommendations to protect against diet-related NCDs. 

Figure 6 shows results for different diet quality metrics for non-pregnant non-lactating (NPNL), lactating, and pregnant women.  
Interact with the figures by selecting the demographic group of interest for viewing results. To see results for all demographic groups together, select "All".
Figure 7 shows the three diet quality indicators for pregnant women by urban and rural area.
Interact with the figures by selecting the diet quality indicator of interest for viewing results. To see results for all diet quality indicators at the same time detailed, select "All".
Figure 8 shows the mean diet quality score for five diet quality indicators for non-pregnant women by urban and rural area.
Interact with the figures by selecting the diet quality indicator of interest for viewing results. To see results for all diet quality indicators at the same time detailed, select "All".
Figure 9 shows the percent non-pregnant women achieving minimum dietary diversity (as defined by the MDD-W metric), by region.
Scroll over each region in the map to see view specific results for that region.
Figure 10 shows the percent of non-pregnant women at high risk for poor diet quality outcomes (as defined by the GDQS metric).
Figure 11 shows the percent non-pregnant women achieving minimum dietary diversity (as defined by the MDD-W metric) and the percent non-pregnant women at low, moderate, and high risk for poor diet quality outcomes (as defined by the GDQS metric), by wealth quintile.
Figure 12 shows the mean diet quality scores achieved by non-pregnant women for different diet quality indicators. The results are presented by wealth quintile.
Scroll over the figure to see the prevalence that corresponds to the wealth quintile in that area of the figure for the diet quality indicator of focus.
Part IV. Diets of Infants and Young Children

  • Part IV presents data for infants and young children (6-23 months). Figures 13 and 14 present the mean nutrient density of the complementary diet for children 12-23 months in urban and rural areas, and for boys and girls separately. Figure 15 presents data for the World Health Organization (WHO) infant and young child feeding (IYCF) indicators.

Figure 13 shows the median nutrient density of the diet for children 12-23 months, by nutrient and for urban and rural areas, separately.
Figure 14 shows the median nutrient density of the diet for children 12-23 months, by nutrient and for boys and girls, separately.
Figure 15 shows results for the WHO IYCF indicators.
Interact with the figure by selecting from the menu at the top left. View results by urban or rural areas, or for boys or girls, or for boys and girls combined at the national level.
Part V. Consumption of Biofortified Foods

  • Part V of these data visualizations provides consumption results for specific biofortified foods. Results are presented for non-pregnant women by region and by wealth quintile for three different biofortified foods: yellow cassava, orange-fleshed sweet potatoes, and orange maize. These data were collected with a separate diet questionnaire, not as part of the 24-hour dietary recall collected with the INDDEX24 Dietary Assessment Platform.

Figure 16 shows the percent of non-pregnant women consuming specific biofortified foods by region.
Interact with the figure by selecting a biofortified food from the menu at the top left to see the percent of non-pregnant women consuming that biofortified food in the last 30 days, by region.
Figure 17 shows the percent of non-pregnant women consuming specific biofortified foods by wealth quintile.
Interact with the figure by selecting a biofortified food from the menu at the top left to see the percent of non-pregnant women consuming that biofortified food in the last 30 days, by wealth quintile.
Part VI. Main Food Sources of Energy and Nutrients

  • Part VI of these data visualizations provides results for three demographic groups - non-pregnant women, children 6-23 months, and children 24-59 months - to show the main food sources for energy and a set of key nutrients: protein, calcium, iron, zinc, vitamin A, thiamine, riboflavin, folate, vitamin B12, and vitamin C. 

Figures 18-20 show the main food sources of energy and nutrient intake for three demographic groups: non-pregnant women, children 6-23 months, and children 24-59 months.
Interact with the figure by selecting energy or a nutrient from the menu at the top left of each figure. Results will then be presented to show the main foods that contribute to energy or nutrient intake for that demographic group.