Health Nutrition and Population Statistics database provides key health, nutrition and population statistics gathered from a variety of international and national sources. Themes include global surgery, health financing, HIV/AIDS, immunization, infectious diseases, medical resources and usage, noncommunicable diseases, nutrition, population dynamics, reproductive health, universal health coverage, and water and sanitation.

I'm pretty sure we've all eaten something from the McDonalds menu and most of us have complained about the broken ice cream machines. This Dataset includes all major McDonalds menu items listed with their menu categories and nutritive facts. Now if you want to analyze the quality of food or perform classification of menu types , It's all upto you. I have made a lot of effort to not only manually group the menu items but also included my personal Indian special McAloo Tikki.

Dietary habits have been exponentially worsening for a majority of people these days. A proper analysis of nutrition data and reports would be super helpful in spreading awarness about what people are actually consuming disguised as a tempting burger.

This data package shows the information on Condiments Required in Food, Food Group Display, Global Health Nutrition Data, Condiment Food for USDA Kids and USDA Nutrient Retention Factors

The main target users of the food nutrition composition dataset are: the public, nutritionists, businesses, etc., who can refer to the data in this dataset to understand the nutrient content of ingredients, and also use it as a reference for dietary guidelines.

[Note: Integrated as part of FoodData Central, April 2019.] The database consists of several sets of data: food descriptions, nutrients, weights and measures, footnotes, and sources of data. The Nutrient Data file contains mean nutrient values per 100 g of the edible portion of food, along with fields to further describe the mean value. Information is provided on household measures for food items. Weights are given for edible material without refuse. Footnotes are provided for a few items where information about food description, weights and measures, or nutrient values could not be accommodated in existing fields. Data have been compiled from published and unpublished sources. Published data sources include the scientific literature. Unpublished data include those obtained from the food industry, other government agencies, and research conducted under contracts initiated by USDA’s Agricultural Research Service (ARS). Updated data have been published electronically on the USDA Nutrient Data Laboratory (NDL) web site since 1992. Standard Reference (SR) 28 includes composition data for all the food groups and nutrients published in the 21 volumes of "Agriculture Handbook 8" (US Department of Agriculture 1976-92), and its four supplements (US Department of Agriculture 1990-93), which superseded the 1963 edition (Watt and Merrill, 1963). SR28 supersedes all previous releases, including the printed versions, in the event of any differences. Attribution for photos: Photo 1: k7246-9 Copyright free, public domain photo by Scott Bauer Photo 2: k8234-2 Copyright free, public domain photo by Scott Bauer Resources in this dataset:Resource Title: READ ME - Documentation and User Guide - Composition of Foods Raw, Processed, Prepared - USDA National Nutrient Database for Standard Reference, Release 28. File Name: sr28_doc.pdfResource Software Recommended: Adobe Acrobat Reader,url: http://www.adobe.com/prodindex/acrobat/readstep.html Resource Title: ASCII (6.0Mb; ISO/IEC 8859-1). File Name: sr28asc.zipResource Description: Delimited file suitable for importing into many programs. The tables are organized in a relational format, and can be used with a relational database management system (RDBMS), which will allow you to form your own queries and generate custom reports.Resource Title: ACCESS (25.2Mb). File Name: sr28db.zipResource Description: This file contains the SR28 data imported into a Microsoft Access (2007 or later) database. It includes relationships between files and a few sample queries and reports.Resource Title: ASCII (Abbreviated; 1.1Mb; ISO/IEC 8859-1). File Name: sr28abbr.zipResource Description: Delimited file suitable for importing into many programs. This file contains data for all food items in SR28, but not all nutrient values--starch, fluoride, betaine, vitamin D2 and D3, added vitamin E, added vitamin B12, alcohol, caffeine, theobromine, phytosterols, individual amino acids, individual fatty acids, or individual sugars are not included. These data are presented per 100 grams, edible portion. Up to two household measures are also provided, allowing the user to calculate the values per household measure, if desired.Resource Title: Excel (Abbreviated; 2.9Mb). File Name: sr28abxl.zipResource Description: For use with Microsoft Excel (2007 or later), but can also be used by many other spreadsheet programs. This file contains data for all food items in SR28, but not all nutrient values--starch, fluoride, betaine, vitamin D2 and D3, added vitamin E, added vitamin B12, alcohol, caffeine, theobromine, phytosterols, individual amino acids, individual fatty acids, or individual sugars are not included. These data are presented per 100 grams, edible portion. Up to two household measures are also provided, allowing the user to calculate the values per household measure, if desired.Resource Software Recommended: Microsoft Excel,url: https://www.microsoft.com/ Resource Title: ASCII (Update Files; 1.1Mb; ISO/IEC 8859-1). File Name: sr28upd.zipResource Description: Update Files - Contains updates for those users who have loaded Release 27 into their own programs and wish to do their own updates. These files contain the updates between SR27 and SR28. Delimited file suitable for import into many programs.

Nutrition5k is a dataset of visual and nutritional data for ~5k realistic plates of food captured from Google cafeterias using a custom scanning rig. We are releasing this dataset alongside our recent CVPR 2021 paper to help promote research in visual nutrition understanding. Please see the paper for more details on the dataset and follow-up experiments.

The USDA (United States Department of Agriculture) National Nutrient Database for Standard Reference (SR) is the major source of food composition data in the United States. It provides the foundation for most food composition databases in the public and private sectors.

This dataset includes data on weight status for children aged 3 months to 4 years old from Women, Infant, and Children Participant and Program Characteristics (WIC-PC). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about WIC-PC visit https://www.fns.usda.gov/wic/national-survey-wic-participants.

[Note: Integrated as part of FoodData Central, April 2019.] USDA's Food and Nutrient Database for Dietary Studies (FNDDS) is a database that is used to convert food and beverages consumed in What We Eat In America (WWEIA), National Health and Nutrition Examination Survey (NHANES) into gram amounts and to determine their nutrient values. Because FNDDS is used to generate the nutrient intake data files for WWEIA, NHANES, it is not required to estimate nutrient intakes from the survey. FNDDS is made available for researchers using WWEIA, NHANES to review the nutrient profiles for specific foods and beverages as well as their associated portions and recipes. Such detailed information makes it possible for researchers to conduct enhanced analysis of dietary intakes. FNDDS can also be used in other dietary studies to code foods/beverages and amounts eaten and to calculate the amounts of nutrients/food components in those items. FNDDS is released every two-years in conjunction with the WWEIA, NHANES dietary data release. The FNDDS is available for free download from the FSRG website. Resources in this dataset:Resource Title: Website Pointer to Food and Nutrient Database for Dietary Studies. File Name: Web Page, url: https://www.ars.usda.gov/northeast-area/beltsville-md-bhnrc/beltsville-human-nutrition-research-center/food-surveys-research-group/docs/fndds/ USDA's Food and Nutrient Database for Dietary Studies (FNDDS) is a database that is used to convert food and beverages consumed in What We Eat In America (WWEIA), National Health and Nutrition Examination Survey (NHANES) into gram amounts and to determine their nutrient values.

Introduction

Nutrition Industry Statistics: The nutrition industry is a diverse field encompassing dietary supplements, functional foods, clinical nutrition, sports nutrition, and organic products.

It is shaped by trends such as a focus on health and wellness. Digital health integration, sustainability, and personalized nutrition. Major players include large food and beverage companies as well as specialized nutritional firms.

Moreover, challenges include regulatory compliance and market saturation, while opportunities arise from innovation, emerging markets, and technology integration. The industry is driven by consumer demand for healthier lifestyles and environmental sustainability.

The United States Department of Agriculture (USDA) Nutrient Data Laboratory (NDL), in collaboration with the National Cattlemen's Beef Association, National Pork Board, American Lamb Board, and meat scientists at selected universities, has conducted several research studies designed to update and expand nutrient data on retail meat cuts in the USDA National Nutrient Database for Standard Reference (SR). These studies have provided current and accurate estimates of data to update SR, and the study results have been incorporated into data sets that can be used for nutrient labeling. NDL has developed these data sets, presented in an easy-to-use table format. Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. The FSIS, an agency of the USDA, is the public health agency responsible for ensuring that the nation's commercial supply of meat, poultry and egg products is safe, wholesome, and correctly labeled and packaged. Resources in this dataset:Resource Title: The USDA Nutrient Data Set for Retail Beef Cuts, Release 3.0. File Name: Retail_Beef_Cuts03.pdfResource Description: Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. The online version of this document can be found at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Retail_Beef_Cuts03.pdfResource Title: The USDA Nutrient Data Set for Retail Beef Cuts, Release 3.0 (MS Excel download). File Name: Beef_Labelling_Table03.xlsxResource Description: The tables in "The USDA Nutrient Data Set for Retail Beef Cuts" imported into a Microsoft Excel spreadsheet. The online version of this spreadsheet can be found at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Beef_Labelling_Table03.xlsxResource Title: USDA Nutrient Data Set for Retail Pork Cuts, Release 2. File Name: Pork09.pdfResource Description: Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. Find the online version of this document at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Pork09.pdfResource Title: USDA Nutrient Data Set for Retail Pork Cuts, Release 2 (MS Excel download). File Name: Pork09_Tbl.xlsResource Description: The tables in "The Revised USDA Nutrient Data Set for Fresh Pork" imported into a Microsoft Excel spreadsheet. Find the online version of this spreadsheet at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Pork09_Tbl.xlsResource Title: Raw Ground Pork (MS Excel download). File Name: EstNutrRawGrndPork4_28.xlsResource Description: These tables provide nutrient profiles for raw ground pork from 4-28% fat, in increments of 1% fat, as determined by regression equations. Find the online version of this spreadsheet at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/EstNutrRawGrndPork4_28.xlsResource Title: USDA Nutrient Data Set for Retail Veal Cuts. File Name: Retail_Veal_Cuts.pdfResource Description: Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. Find the online version of this document at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Retail_Veal_Cuts.pdfResource Title: Veal Labeling Table (MS Excel download). File Name: Veal_Labeling_Table.xlsxResource Description: The tables in "The USDA Nutrient Data Set for Retail Veal Cuts" imported into a Microsoft Excel spreadsheet. Find the online version of this spreadsheet at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Veal_Labeling_Table.xlsxResource Title: USDA Nutrient Data Set for Retail Lamb Cuts. File Name: Lamb_Labeling_Doc.pdfResource Description: Each data set provides retailers with easier access to the most accurate nutrient data for the purpose of on-pack nutrition labeling and for nutrition claims. These data sets focus on the cuts identified by USDA Food Safety and Inspection Service (FSIS) proposed labeling regulations for fresh, single-ingredient meats. Find the online version of this document at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Lamb_Labeling_Doc.pdfResource Title: Lamb Labeling Table (MS Excel download). File Name: Lamb_Labeling_Table.xlsxResource Description: The tables in "The USDA Nutrient Data Set for Retail Lamb Cuts" imported into a Microsoft Excel spreadsheet. Find the online version of this spreadsheet at https://www.ars.usda.gov/ARSUserFiles/80400525/Data/Meat/Lamb_Labeling_Table.xlsx

[Note: Integrated as part of FoodData Central, April 2019.] The USDA National Nutrient Database for Standard Reference (SR) is the major source of food composition data in the United States and provides the foundation for most food composition databases in the public and private sectors. This is the last release of the database in its current format. SR-Legacy will continue its preeminent role as a stand-alone food composition resource and will be available in the new modernized system currently under development. SR-Legacy contains data on 7,793 food items and up to 150 food components that were reported in SR28 (2015), with selected corrections and updates. This release supersedes all previous releases. Resources in this dataset:Resource Title: USDA National Nutrient Database for Standard Reference, Legacy Release. File Name: SR-Leg_DB.zipResource Description: Locally stored copy - The USDA National Nutrient Database for Standard Reference as a relational database using AcessResource Title: USDA National Nutrient Database for Standard Reference, Legacy Release. File Name: SR-Leg_ASC.zipResource Description: ASCII files containing the data of the USDA National Nutrient Database for Standard Reference, Legacy Release.Resource Title: USDA National Nutrient Database for Standard Reference, Legacy Release. File Name: SR-Leg_ASC.zipResource Description: Locally stored copy - ASCII files containing the data of the USDA National Nutrient Database for Standard Reference, Legacy Release.

Nutrition

## Overview

Nutrition is a dataset for instance segmentation tasks - it contains Humans annotations for 483 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

The summary data table of estimates of usual intakes for energy, nutrients & other dietary components from food uses data collected from Canadians in the 2004 and 2015 Canadian Community Health Survey (CCHS) - Nutrition. Data are provided for the household population by 16 DRI age–sex groups at the national, regional and provincial levels. Please note that the following estimates have been updated December 2024: Estimates of usual intakes of folate (mcg/d (Dietary Folate Equivalents (DFE)) for 2015 at the national level were revised based on updated calculation of DFE content of recipes in the nutrient database. The following were not revised: national estimates (2004), and provincial- or regional- estimates (2004, 2015). As such, it is not possible to compare national-level estimates between 2004 and 2015 or compare provincial and national-level estimates for 2015. Visit the Nutrition Surveillance Data Tool to explore the 2015 CCHS-Nutrition usual intake data with interactive visualizations and a customizable data table.

The mNutrition Initiative Close to 2 billion people survive on diets that lack vital vitamins and nutrients needed to grow properly, live healthy lives and raise a healthy family. Poor access to agricultural and health information has been recognised as a major barrier in the uptake of improved nutritional practises, particularly by women and vulnerable groups in marginalised areas To address this, CABI and its partners in the DFID mNutrition initiative delivered mNutrition to support local organisations to develop content for mobile phone-based messaging services aimed at increasing knowledge of nutrition and health within communities in 12 countries, particularly women of reproductive age. The content made available here includes the mobile messages produced within the mNutrition initiative. Content comprises health, agriculture and food- based nutrition SMS and voice message transcripts. All content is available free of charge under a creative commons licence CC-BY. The Content and Local Process The content is a product of the GSMA-led mNutrition Initiative funded with UK aid from the UK government from 2014-2017. The content stream of mNutrition was delivered by a CABI-led consortium of Global Content Partners (GCPs). The GCP designed a structured process in which to develop country-specific factsheets and associated mobile message transcripts, and in some countries, voice recordings. The GCPs delivered mNutrition content through engagement and capacity building of local content partners (LCPs). The role of the LCPs was to create localised content through a structured process of content drafts, edits, technical review, translation, end user testing, validation, adherence to quality assurance and publication. In doing this, LCPs engaged throughout with partnerships across the private sector, NGOs, international institutions, universities and government departments. Through this process, LCPs ensured messages are locally appropriate (i.e. local languages, cultural contexts and motivations), relevant and practical. The work of the GCPs included creating national nutrition landscape analyses and content frameworks to help guide the prioritisation of key interventions; defining a content structure, implementing a rigorous quality assurance process on the content - including government and nutrition stakeholder validation, quality control sampling and support for end user testing and providing training to local content partners.

Dataset

This dataset was created by Muhammad Tayyab Sohail

Released under Apache 2.0

Contents

Snapshot img

Nutrition Market Size 2024-2028

The nutrition market size is forecast to increase by USD 35 billion at a CAGR of 4.36% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing global geriatric population and the rising trend towards online retailing. The aging demographic is a key market driver, as older adults often require specialized nutrition to maintain health and independence. According to the World Health Organization, the number of people aged 65 and above is projected to reach 1.5 billion by 2050, representing a substantial market opportunity for nutrition companies. Online retailing is another trend transforming the market. With the convenience and accessibility of e-commerce platforms, consumers can now easily purchase nutrition products from anywhere, at any time. This trend is particularly prominent in regions with high internet penetration and growing health consciousness. However, the market also faces challenges, such as product recalls and regulatory compliance. Companies must ensure the safety and quality of their products to maintain consumer trust and adhere to stringent regulations. By staying abreast of these trends and challenges, companies can capitalize on market opportunities and navigate the competitive landscape effectively.

What will be the Size of the Nutrition Market during the forecast period?

Request Free SampleThe market encompasses a diverse range of products and services aimed at helping consumers achieve their health goals and manage chronic diseases through personalized nutrition plans. This market is driven by growing consumer preferences for healthier options and heightened health awareness. Dietary supplements, including vitamins and minerals, continue to be popular choices, with an increasing focus on personalized supplements based on genetic make-up. Emerging trends include the adoption of 3D-printed edibles using 3D printer technology for customized, high-cost nutritional solutions. Overall, the market is experiencing growth, fueled by the global population's increasing focus on preventative healthcare and desire for tailored health solutions.

How is this Nutrition Industry segmented?

The nutrition industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments. TypeVitaminsProbioticsProteins and amino acidsCarbohydratesOthersApplicationImmunitySports nutritionWeight managementClinical nutritionOthersGeographyAPACChinaIndiaNorth AmericaUSCanadaEuropeGermanySouth AmericaMiddle East and Africa

By Type Insights

The vitamins segment is estimated to witness significant growth during the forecast period.Vitamins are essential nutrients required for normal cell function and growth in humans. Thirteen vitamins are essential, including A, C, D, E, K, choline, and the B-complex group (B6, B12, riboflavin, niacin, thiamin, biotin, pantothenic acid, and folic acid). Insufficient intake of these vitamins may lead to health issues. Excess intake can also pose risks. Vitamins perform diverse functions, such as regulating cell growth and differentiation (Vitamin A), acting as antioxidants (Vitamin C), and aiding in energy production (B-complex vitamins). Dietary sources include whole foods, dairy products, energy gels, sports vitamins, and fortified drinks. Personalized nutrition plans consider health goals, chronic diseases, genetic make-up, and consumer preferences. Health products offer natural ingredients, synthetic alternatives, third-party testing, and economies of scale. High-cost countries prioritize genetic testing, active measurement, and digital health-related solutions. Consumer health awareness drives demand for vitamin blends, mineral supplements, omega-3 oils, probiotic cultures, prebiotic fibers, amino acids, plant extracts, herbal infusions, and fortified foods. Natural alternatives, such as superfood powders and adaptogen herbs, cater to low-calorie and hydration formula preferences. Nutrient bioavailability, gut health, immune boosters, clean label, and organic sourcing are key considerations.

Get a glance at the market report of share of various segments Request Free Sample

The Vitamins segment was valued at USD 44.60 billion in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 46% to the growth of the global market during the forecast period.Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market size of various regions, Request Free Sample

The market in APAC is experiencing significant growth due to the increasing prevalence of chronic diseases resulting from malnutrition and the expand

Nutrition Food Proj (B0)

## Overview

Nutrition Food Proj (B0) is a dataset for classification tasks - it contains Food annotations for 735 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This dataset includes data on adolescent's diet, physical activity, and weight status from Youth Risk Behavior Surveillance System (YRBSS). This data is used for DNPAO's Data, Trends, and Maps database, which provides national and state specific data on obesity, nutrition, physical activity, and breastfeeding. For more information about YRBSS visit https://www.cdc.gov/healthyyouth/data/yrbs/index.htm.