This table contains data on the average cost of a market basket of nutritious food items relative to income for female-headed households with children, for California, its regions, counties, and cities/towns. The ratio uses data from the U.S. Department of Agriculture and the U.S. Census Bureau. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. An adequate, nutritious diet is a necessity at all stages of life. Inadequate diets can impair intellectual performance and have been linked to more frequent school absence and poorer educational achievement in children. Nutrition also plays a significant role in causing or preventing a number of illnesses, such as cardiovascular disease, some cancers, obesity, type 2 diabetes, and anemia. At least two factors influence the affordability of food and the dietary choices of families – the cost of food and family income. The inability to afford food is a major factor in food insecurity, which has a spectrum of effects including anxiety over food sufficiency or food shortages; reduced quality or desirability of diet; and disrupted eating patterns and reduced food intake. More information about the data table and a data dictionary can be found in the Attachments.

Food Balance Sheet presents a comprehensive picture of the pattern of a country's food supply during a specified reference period. The food balance sheet shows for each food item - i.e. each primary commodity and a number of processed commodities potentially available for human consumption - the sources of supply and its utilization. The total quantity of foodstuffs produced in a country added to the total quantity imported and adjusted to any change in stocks that may have occurred since the beginning of the reference period gives the supply available during that period. On the utilization side a distinction is made between the quantities exported, fed to livestock, used for seed, put to manufacture for food use and non-food uses, losses during storage and transportation, and food supplies available for human consumption. The per caput supply of each such food item available for human consumption is then obtained by dividing the respective quantity by the related data on the population actually partaking of it. Data on per caput food supplies are expressed in terms of quantity and - by applying appropriate food composition factors for all primary and processed products - also in terms of caloric value and protein and fat content.

Incomplete or outdated versions of the dataset from the same source: - https://www.kaggle.com/datasets/dorbicycle/world-foodfeed-production - https://www.kaggle.com/datasets/sofiacosousa/meat-supply-per-person

The Food Insecurity Hotspots Data Set consists of grids at 250 meter (~7.2 arc-seconds) resolution that identify the level of intensity and frequency of food insecurity over the 10 years between 2009 and 2019, as well as hotspot areas that have experienced consecutive food insecurity events. The gridded data are based on subnational food security analysis provided by FEWS NET (Famine Early Warning Systems Network) in five (5) regions, including Central America and the Caribbean, Central Asia, East Africa, Southern Africa, and West Africa. Based on the Integrated Food Security Phase Classification (IPC), food insecurity is defined as Minimal, Stressed, Crisis, Emergency, and Famine.

This table contains data on the modified retail food environment index for California, its regions, counties, cities, towns, and census tracts. An adequate, nutritious diet is a necessity at all stages of life. Pregnant women and their developing babies, children, adolescents, adults, and older adults depend on adequate nutrition for optimum development and maintenance of health and functioning. Nutrition also plays a significant role in causing or preventing a number of illnesses, such as cardiovascular disease, some cancers, obesity, type-2 diabetes, and anemia. Peoples’ food choices and their likelihood of being overweight or obese are also influenced by their food environment: the foods available in their neighborhoods including stores, restaurants, schools, and worksites.

The modified retail food environment index table is part of a series of indicators in the Healthy Communities Data and Indicators Project (HCI) of the Office of Health Equity. The goal of HCI is to enhance public health by providing data, a standardized set of statistical measures, and tools that a broad array of sectors can use for planning healthy communities and evaluating the impact of plans, projects, policy, and environmental changes on community health. The creation of healthy social, economic, and physical environments that promote healthy behaviors and healthy outcomes requires coordination and collaboration across multiple sectors, including transportation, housing, education, agriculture and others. Statistical metrics, or indicators, are needed to help local, regional, and state public health and partner agencies assess community environments and plan for healthy communities that optimize public health. More information on HCI can be found here: https://www.cdph.ca.gov/Programs/OHE/CDPH%20Document%20Library/Accessible%202%20CDPH_Healthy_Community_Indicators1pager5-16-12.pdf

The format of the modified retail food environment table is based on the standardized data format for all HCI indicators. As a result, this data table contains certain variables used in the HCI project (e.g., indicator ID, and indicator definition). Some of these variables may contain the same value for all observations.

Open Food Facts Database

  What is 🍊 Open Food Facts?





  A food products database

Open Food Facts is a database of food products with ingredients, allergens, nutrition facts and all the tidbits of information we can find on product labels.

  Made by everyone

Open Food Facts is a non-profit association of volunteers. 25.000+ contributors like you have added 1.7 million + products from 150 countries using our Android or iPhone app or their camera to scan… See the full description on the dataset page: https://huggingface.co/datasets/openfoodfacts/product-database.

Online Food Order Dataset

Description: The dataset contains information collected from an online food ordering platform over a period of time. It encompasses various attributes related to Occupation, Family Size, Feedback etc..

Attributes:

Demographic Information:

Age: Age of the customer. Gender: Gender of the customer. Marital Status: Marital status of the customer. Occupation: Occupation of the customer. Monthly Income: Monthly income of the customer. Educational Qualifications: Educational qualifications of the customer. Family Size: Number of individuals in the customer's family. Location Information:

Latitude: Latitude of the customer's location. Longitude: Longitude of the customer's location. Pin Code: Pin code of the customer's location. Order Details:

Output: Current status of the order (e.g., pending, confirmed, delivered). Feedback: Feedback provided by the customer after receiving the order.

Purpose: This dataset can be utilized to explore the relationship between demographic/location factors and online food ordering behavior, analyze customer feedback to improve service quality, and potentially predict customer preferences or behavior based on demographic and location attributes.

Provides a concise round-up of statistics on food covering the economic, social and environmental aspects of the food we eat. Source agency: Environment, Food and Rural Affairs Designation: National Statistics Language: English Alternative title: Food Statistics Pocket book

Mexico MX: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data was reported at 20.700 % in 2022. This records a decrease from the previous number of 23.500 % for 2021. Mexico MX: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 23.700 % from Dec 2015 (Median) to 2022, with 8 observations. The data reached an all-time high of 25.500 % in 2020 and a record low of 20.700 % in 2022. Mexico MX: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as moderately or severely food insecure. A household is classified as moderately or severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to low quality diets and might have been forced to also reduce the quantity of food they would normally eat because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;

The Food Assistance Program provides Electronic Benefit Transfer (EBT) cards that can be used to buy groceries at supermarkets, grocery stores and some Farmers Markets. This dataset provides data on the number of households, recipients and cash assistance provided through the Food Assistance Program participation in Iowa by month and county starting in January 2011 and updated monthly. Beginning January 2017, the method used to identify households is based on the following: 1. If one or more individuals receiving Food Assistance also receives FIP, the household is categorized as FA/FIP. 2. If no one receives FIP, but at least one individual also receives Medical Assistance, the household is categorized as FA/Medical Assistance. 3. If no one receives FIP or Medical Assistance, but at least one individual receives Healthy and Well Kids in Iowa or hawk-i benefits, the household is categorized as FA/hawk-i. 4. If no one receives FIP, Medical Assistance or hawk-i , the household is categorized as FA Only. Changes have also been made to reflect more accurate identification of individuals. The same categories from above are used in identifying an individual's circumstances. Previously, the household category was assigned to all individuals of the Food Assistance household, regardless of individual status. This change in how individuals are categorized provides a more accurate count of individual categories. Timing of when the report is run also changed starting January 2017. Reports were previously ran on the 1st, but changed to the 17th to better capture Food Assistance households that received benefits for the prior month. This may give the impression that caseloads have increased when in reality, under the previous approach, cases were missed.

Canada CA: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 1.000 % in 2020. This records an increase from the previous number of 0.900 % for 2019. Canada CA: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 0.650 % from Dec 2015 (Median) to 2020, with 6 observations. The data reached an all-time high of 1.000 % in 2020 and a record low of 0.600 % in 2017. Canada CA: Prevalence of Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;

Switzerland Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 0.600 % in 2021. This records an increase from the previous number of 0.000 % for 2020. Switzerland Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 0.700 % from Dec 2015 (Median) to 2021, with 7 observations. The data reached an all-time high of 1.500 % in 2015 and a record low of 0.000 % in 2020. Switzerland Prevalence of Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Switzerland – Table CH.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;

This dataset provides a comprehensive overview of various food items, including their classification, nutrient composition, and data collection methods. Each food entry is uniquely identified by an fdc_id and is categorized under a food category ID, which groups similar food products together. The description column contains the name or label of the food item, while the description_category provides a broader classification, such as "Legumes and Legume Products."

The dataset captures different types of data collection methods, indicated by the data_type column, including sample foods (analyzed in controlled environments), market acquisitions (purchased from stores), and sub-sample foods (variations of main food items). The publication_date field records when the data was made available.

In terms of nutritional content, the dataset includes nutrient IDs, which correspond to specific nutrients (e.g., protein, fat, carbohydrates), along with their respective amounts in the given food item. This makes it an excellent resource for dietary research, food science studies, and nutritional data analysis.

This dataset can be utilized by nutritionists, dietitians, food scientists, researchers, and data analysts to study food composition, develop diet plans, and analyze nutrient distributions across different food groups. It serves as a valuable tool for understanding the nutritional makeup of foods and can be used for health research, machine learning applications in nutrition, and food industry analytics.

Vietnam VN: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 2.100 % in 2022. This records an increase from the previous number of 1.200 % for 2021. Vietnam VN: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 0.550 % from Dec 2017 (Median) to 2022, with 6 observations. The data reached an all-time high of 2.100 % in 2022 and a record low of 0.000 % in 2018. Vietnam VN: Prevalence of Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Vietnam – Table VN.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;

Sweden SE: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 1.300 % in 2020. This records an increase from the previous number of 1.200 % for 2019. Sweden SE: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 1.100 % from Dec 2015 (Median) to 2020, with 6 observations. The data reached an all-time high of 1.300 % in 2020 and a record low of 0.800 % in 2015. Sweden SE: Prevalence of Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Sweden – Table SE.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;

Nigeria NG: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 19.100 % in 2020. This records an increase from the previous number of 17.300 % for 2019. Nigeria NG: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 14.350 % from Dec 2015 (Median) to 2020, with 6 observations. The data reached an all-time high of 19.100 % in 2020 and a record low of 11.000 % in 2015. Nigeria NG: Prevalence of Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Nigeria – Table NG.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;

Armenia AM: Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 1.000 % in 2020. This records a decrease from the previous number of 1.100 % for 2019. Armenia AM: Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 1.100 % from Dec 2017 (Median) to 2020, with 4 observations. The data reached an all-time high of 1.200 % in 2017 and a record low of 1.000 % in 2020. Armenia AM: Prevalence of Severe Food Insecurity in the Population: % of population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Armenia – Table AM.World Bank.WDI: Social: Health Statistics. The percentage of people in the population who live in households classified as severely food insecure. A household is classified as severely food insecure when at least one adult in the household has reported to have been exposed, at times during the year, to several of the most severe experiences described in the FIES questions, such as to have been forced to reduce the quantity of the food, to have skipped meals, having gone hungry, or having to go for a whole day without eating because of a lack of money or other resources.;Food and Agriculture Organization of the United Nations (FAO);;