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Food habits and vegetarianism
Use actual food-frequency questions and keep age, sex, eggs and meat definitions visible.
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Selected checked indicators
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| Measure | Value | Who or what is counted? | Period and evidence |
|---|---|---|---|
| Women aged 15–49 reporting never eating fish, chicken or meatIndia · Food And Diet | 29.4% | Women aged 15–49 represented by NFHS-5 | 2019–21 Official source ↗Table 10.25, printed p.437 / PDF p.472; women / Fish, chicken or meat / Never Definition and limitsPercentages describe reported habitual frequency, not quantities, nutrient adequacy, lifetime abstention or a measured dietary intake on a particular day. Women and men in this table are both aged 15–49; this is not an all-age population estimate. The male report sample in this table is narrower than the full male interview sample. Eggs, fish, chicken/meat and the combined fish/chicken/meat row are separately defined. The combined row is published by NFHS; it must not be reconstructed by adding overlapping separate percentages. Never eating fish/chicken/meat does not identify a strict vegetarian or vegan population. Separate egg and meat percentages do not reveal their joint overlap. Do not average male and female percentages to invent a national vegetarian share. |
| Women aged 15–49 reporting never eating eggsIndia · Food And Diet | 28% | Women aged 15–49 represented by NFHS-5 | 2019–21 Official source ↗Table 10.25, printed p.437 / PDF p.472; women / Eggs / Never Definition and limitsPercentages describe reported habitual frequency, not quantities, nutrient adequacy, lifetime abstention or a measured dietary intake on a particular day. Women and men in this table are both aged 15–49; this is not an all-age population estimate. The male report sample in this table is narrower than the full male interview sample. Eggs, fish, chicken/meat and the combined fish/chicken/meat row are separately defined. The combined row is published by NFHS; it must not be reconstructed by adding overlapping separate percentages. Never eating fish/chicken/meat does not identify a strict vegetarian or vegan population. Separate egg and meat percentages do not reveal their joint overlap. Do not average male and female percentages to invent a national vegetarian share. |
| Men aged 15–49 reporting never eating fish, chicken or meatIndia · Food And Diet | 16.6% | Men aged 15–49 represented by NFHS-5 | 2019–21 Official source ↗Table 10.25, printed p.437 / PDF p.472; men / Fish, chicken or meat / Never Definition and limitsPercentages describe reported habitual frequency, not quantities, nutrient adequacy, lifetime abstention or a measured dietary intake on a particular day. Women and men in this table are both aged 15–49; this is not an all-age population estimate. The male report sample in this table is narrower than the full male interview sample. Eggs, fish, chicken/meat and the combined fish/chicken/meat row are separately defined. The combined row is published by NFHS; it must not be reconstructed by adding overlapping separate percentages. Never eating fish/chicken/meat does not identify a strict vegetarian or vegan population. Separate egg and meat percentages do not reveal their joint overlap. Do not average male and female percentages to invent a national vegetarian share. |
| Men aged 15–49 reporting never eating eggsIndia · Food And Diet | 15.4% | Men aged 15–49 represented by NFHS-5 | 2019–21 Official source ↗Table 10.25, printed p.437 / PDF p.472; men / Eggs / Never Definition and limitsPercentages describe reported habitual frequency, not quantities, nutrient adequacy, lifetime abstention or a measured dietary intake on a particular day. Women and men in this table are both aged 15–49; this is not an all-age population estimate. The male report sample in this table is narrower than the full male interview sample. Eggs, fish, chicken/meat and the combined fish/chicken/meat row are separately defined. The combined row is published by NFHS; it must not be reconstructed by adding overlapping separate percentages. Never eating fish/chicken/meat does not identify a strict vegetarian or vegan population. Separate egg and meat percentages do not reveal their joint overlap. Do not average male and female percentages to invent a national vegetarian share. |
Definitions and evidence to use
Use actual food-frequency questions and keep age, sex, eggs and meat definitions visible.
Start with the geographic unit, observation period and denominator. Compare counts with counts, rates with rates and spending at compatible prices. Read the original table’s coverage before calculating a total or interpreting a difference.
Next questions and clear gaps
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