Dietary diversity statistics describe whether people consumed foods from different groups during a defined recall period. The measures below cover children aged 6–23 months, women aged 15–49, U.S. adolescents aged 10–19, and South African households, so the thresholds and scores must be read in context.
Key Dietary Diversity Statistics
The most useful headline figures span child food poverty, women’s minimum diversity, adolescent food-group patterns, and household measurement:
- In UNICEF’s global estimate current in 2026, 69% of children aged 6–23 months were not fed foods from at least five of eight food groups the previous day.
- In the same global estimate, 31% of children aged 6–23 months reached at least five of eight food groups the previous day.
- In UNICEF’s current global estimate, 50% of children aged 6–23 months did not receive the minimum recommended number of meals or snacks the previous day.
- In the same estimate, 56% of children aged 6–23 months did not consume eggs, fish, or meat the previous day.
- Globally, 40% of children aged 6–23 months did not consume fruits or vegetables the previous day in UNICEF’s current estimate.
- In UNICEF’s global estimate, 30% of children aged 6–8 months were not fed any solid, semi-solid, or soft food.
- UNICEF estimated that 70% of children aged 6–23 months experienced child food poverty under its broader definition in the current global estimate.
- 30% of children aged 6–23 months lived in severe child food poverty, receiving at most two food groups per day in UNICEF’s current global estimate.
- UNICEF’s 2024 analysis estimated 181 million children aged 6–23 months in low- and middle-income countries lived in severe child food poverty during 2016–2022.
- During 2016–2022, South Asia and sub-Saharan Africa accounted for 68% of the 181 million children in severe child food poverty in UNICEF’s analysis.
- In the 2016–2022 UNICEF analysis, 84 million children, or 46% of those in severe child food poverty, were in the two poorest within-country wealth quintiles.
- 50.0% of women aged 15–49 in Nepal achieved MDD-W in 2016, using the five-of-ten-food-groups threshold.
- 56.0% of women aged 15–49 in Nigeria achieved MDD-W in 2018.
- 80.0% of women aged 15–49 in Tajikistan achieved MDD-W in 2017.
- In NHANES 2007–2018, the mean dietary diversity score for U.S. adolescents aged 10–19 was 4.69 out of 10 food groups.
- In the same U.S. study, mean adolescent dietary diversity was 4.74 for boys and 4.63 for girls.
- In NHANES 2007–2018, mean adolescent dietary diversity ranged from 4.49 among non-Hispanic Black adolescents to 4.86 among Mexican American adolescents.
- About 99% of U.S. adolescents consumed grains, white roots, or tubers on the recall day in the 2007–2018 study.
- The South African household dietary diversity score counted 12 food groups in the national survey study.
- In that South African framework, low household dietary diversity meant four or fewer groups, medium meant five to eight, and high meant nine to twelve.
Contents
- Global dietary diversity statistics for infants and young children
- Child food poverty statistics and food-group gaps
- Women’s minimum dietary diversity statistics by country and inequality
- Dietary diversity statistics for U.S. adolescents
- Household and adult dietary diversity statistics from South Africa
- What dietary diversity scores measure in practice
Global Dietary Diversity Statistics for Infants and Young Children
UNICEF’s global child indicators use children aged 6–23 months and food groups reported for the previous day. The minimum dietary diversity threshold is at least five of eight groups, but it is separate from meal frequency and from nutrient-adequacy calculations.
| Global child indicator | Estimate | Population and period |
|---|---|---|
| Did not reach five of eight groups | 69% | Children aged 6–23 months; UNICEF estimate current 2026 |
| Reached five of eight groups | 31% | Children aged 6–23 months; UNICEF estimate current 2026 |
| Did not receive minimum meal frequency | 50% | Children aged 6–23 months; UNICEF estimate current 2026 |
| Did not consume eggs, fish, or meat | 56% | Children aged 6–23 months; previous day |
| Did not consume fruits or vegetables | 40% | Children aged 6–23 months; previous day |
Source: Diets – UNICEF DATA. These are survey-synthesis estimates with country coverage and timing limitations, and the food-group indicators do not measure quantities or total protein intake.
For the youngest children, UNICEF estimated that 30% of those aged 6–8 months were not fed any solid, semi-solid, or soft food. This is an introduction-of-foods indicator rather than a diversity score, so it should not be interpreted as another percentage of children failing the five-group threshold.
Child Food Poverty Statistics and Food-Group Gaps
UNICEF’s broader child food poverty classification captures more than the minimum-diversity threshold. Its severe category means consuming zero to two food groups per day, moderate food poverty means three to four, and children consuming five or more of eight groups are not classified as living in child food poverty under that indicator.
The current UNICEF global estimate placed 70% of children aged 6–23 months in child food poverty and 30% in severe child food poverty, receiving at most two food groups. The broader classification is not a clinical diagnosis and does not prove that a child’s diet is fully adequate when the threshold is met.
UNICEF’s 2024 analysis synthesized survey data from 2016–2022 in low- and middle-income countries and estimated 181 million children aged 6–23 months lived in severe child food poverty. South Asia and sub-Saharan Africa together represented 68% of that total, while 20 named countries accounted for 65%.
The same analysis found that 84 million children, or 46% of those in severe child food poverty, belonged to households in the two poorest within-country wealth quintiles. The quintiles are survey classifications within each country, not internationally equivalent income levels.
Food-group gaps were especially pronounced among children in the severe category:
- Eggs were consumed in 3% or fewer of cases among children aged 6–23 months in severe child food poverty during 2016–2022.
- Flesh foods were consumed in 3% or fewer of cases among children aged 6–23 months in severe child food poverty during 2016–2022.
- Pulses, nuts, or seeds were consumed in 3% or fewer of cases among children aged 6–23 months in severe child food poverty during 2016–2022.
Source: Child Food Poverty: Nutrition deprivation in early childhood. The totals are modeled or synthesized from available national survey data and do not cover all children worldwide.
Women’s Minimum Dietary Diversity Statistics by Country and Inequality
MDD-W means consuming at least five of ten food groups in the previous 24 hours among women aged 15–49. The measure is a proxy associated with a greater likelihood of adequate intake of 11 micronutrients, not a calculation of nutrient quantities.
| Country and survey | National MDD-W | Urban | Rural |
|---|---|---|---|
| Nepal DHS 2016 | 50.0% | 55.1% | 44.4% |
| Nigeria DHS 2018 | 56.0% | 61.0% | 51.1% |
| Tajikistan DHS 2017 | 80.0% | 86.1% | 78.5% |
Source: The State of Food Security and Nutrition in the World 2020. The three-country comparison uses different DHS years, and the urban–rural differences are descriptive calculations from the reported survey percentages.
The reported urban–rural gaps were 10.7 percentage points in Nepal, 9.9 points in Nigeria, and 7.6 points in Tajikistan. These simple differences do not establish causes or statistical significance.
Wealth differences were also substantial, especially in Nepal:
| Country and survey | Lowest wealth quintile | Highest wealth quintile | Reported spread |
|---|---|---|---|
| Nepal DHS 2016 | 37.5% | 75.9% | 38.4 points |
| Nigeria DHS 2018 | 48.9% | 66.8% | 17.9 points |
| Tajikistan DHS 2017 | 72.1% | 86.4% | 14.3 points |
More than 98% of women in all three countries reported grains, white roots, tubers, or plantains in the preceding 24 hours. Meat, poultry, or fish consumption was reported by at least 70% of women in Nigeria and Tajikistan, compared with 35% in Nepal; the first figure is a lower bound rather than an exact percentage.
Other food-group results show why a threshold can conceal different dietary patterns: dark-green-leafy-vegetable consumption was 72.7% in Nigeria and 18.7% in Tajikistan, other vitamin-A-rich fruits and vegetables reached 59.9% in Tajikistan, and other-fruit consumption was 35.7% in Nigeria.
Dietary Diversity Statistics for U.S. Adolescents
A peer-reviewed analysis used nationally representative NHANES dietary recalls from 2007–2018 and included 9,198 adolescents aged 10–19. Its adolescent dietary diversity score, or ADDS, assigns one point for each food group consumed on the recall day and has a maximum of 10; it is not MDD-W.
The mean ADDS was 4.69 out of 10. Boys averaged 4.74 and girls 4.63, while the reported race and ethnicity range ran from 4.49 among non-Hispanic Black adolescents to 4.86 among Mexican American adolescents.
Income-status comparisons in the study showed a mean ADDS of 4.61 among medium-income adolescents and 4.73 among high-income adolescents; the low-income value was not stated in the supplied results. These descriptive strata do not establish why scores differed.
Food-group prevalence on the recall day was uneven:
- About 99% consumed grains, white roots, or tubers.
- About 92% consumed milk products.
- About 85% consumed meat, poultry, or fish.
- Fewer than 15% consumed vitamin-A-rich fruits and vegetables.
- Fewer than 15% consumed dark-green vegetables.
Source: What Do United States Adolescents Eat? Food Group Consumption Patterns and Dietary Diversity from a Decade of Nationally Representative Data. The study assessed two-day recall patterns, but the ADDS reported here is for day one.
Household and Adult Dietary Diversity Statistics from South Africa
The South African study analyzed more than 28,000 individuals in 7,300 households from a national South African National Income Dynamics Study wave. Its household dietary diversity score counted 12 food groups and used study-specific categories.
| South African household DDS category | Food groups |
|---|---|
| Low | 4 or fewer |
| Medium | 5–8 |
| High | 9–12 |
Source: Dietary diversity, food insecurity and the double burden of malnutrition among children, adolescents and adults in South Africa: Findings from a national survey. These thresholds are not universal clinical cutoffs, and a household score does not equal each individual’s intake.
The South African source examined associations with BMI among children, adolescents, and adults. Those associations should not be read as causal effects, and the household measure cannot be directly compared numerically with an individual child’s eight-group score or women’s ten-group MDD-W.
What Dietary Diversity Scores Measure in Practice
Dietary diversity statistics are often presented as percentages, but the underlying measures differ in population, food-group count, recall period, and interpretation. A score can indicate variety on a recall day without measuring serving sizes, usual intake, nutrient adequacy, or a clinical outcome.
| Framework | Population | Maximum or threshold | Main interpretation |
|---|---|---|---|
| Child minimum dietary diversity | Children aged 6–23 months | 5 of 8 groups | Previous-day food-group indicator |
| MDD-W | Women aged 15–49 | 5 of 10 groups | Proxy associated with micronutrient adequacy |
| U.S. ADDS | Adolescents aged 10–19 | 10 points | One point per group consumed on recall day |
| South African household DDS | Households | 12 groups | Low, medium, or high study categories |
The child framework uses eight food groups, MDD-W uses ten core groups, the U.S. adolescent score uses ten groups, and the South African household score uses twelve. These maximums are descriptive differences between frameworks, not interchangeable scales.
For the cited child and women’s indicators, food-group presence generally refers to the previous day or previous 24 hours. That timing means the statistics should not be presented as quantities eaten over a usual week or as direct evidence of nutrient adequacy.
The source definitions also explain why dietary diversity trends require careful labeling. Cross-country percentages may come from different survey years, household scores may summarize availability or consumption at the household level, and a threshold result may identify a proxy rather than an outcome.