variables: 904801

This table contains all the variables of all the datasets we have at Our World In Data. Note that this includes only the information about the variables like name and default display settings, not the data itself.

Data license: CC-BY

This data as json

id name unit description createdAt updatedAt code coverage timespan datasetId sourceId shortUnit display columnOrder originalMetadata grapherConfigAdmin shortName catalogPath dimensions schemaVersion processingLevel processingLog titlePublic titleVariant attributionShort attribution descriptionShort descriptionFromProducer descriptionKey descriptionProcessing licenses license grapherConfigETL type sort dataChecksum metadataChecksum
904801 Daily calorie supply per person kilocalories per day   2024-05-29 14:34:48 2024-07-30 06:28:23     1274-2021 6541   kcal 
{
    "unit": "kilocalories per day",
    "shortUnit": "kcal",
    "numDecimalPlaces": 0
}
 0     daily_calories grapher/agriculture/2024-05-23/daily_calories_per_person/daily_calories_per_person#daily_calories   2 major               
[
    "This data shows per capita daily calorie supply, which is the amount of calories available to an average person, and does necessarily correspond to the calories actually consumed by that person.",
    "Calorie supply is always larger than actual calorie consumption, since there may be waste at the household level.",
    "For historical data, daily calorie supply and consumption are sometimes used interchangeably, due to poor data availability.",
    "This data does not give a complete picture of nutrition - for a healthy diet [we need much more](https://ourworldindata.org/micronutrient-deficiency) than just energy. But as the most basic criteria of food security, getting enough calories is an important measure. It is used as input for the most important metrics used to assess global malnutrition: [undernourishment](https://ourworldindata.org/undernourishment-definition)."
]
 - For all countries, the data after 1960 is taken from FAOSTAT Food Balances datasets ([old](https://www.fao.org/faostat/en/#data/FBSH) and [new](https://www.fao.org/faostat/en/#data/FBS) methodologies combined). - For the UK: We load Appendix Table from [Harris et al. (2015)](https://www.emerald.com/insight/content/doi/10.1108/S0363-326820150000031003/full/html). From that table, we select values from [Broadberry et al. (2015)](https://www.cambridge.org/core/books/british-economic-growth-12701870/A270234C137117C8E0F1D1E7E6F0DA56) and the corrected values from [Floud et al (2011)](https://www.cambridge.org/core/books/changing-body/DE3BB0E3577205AC26823CF2120D8B7E) (taking the average value of Estimates (A) and (B)). - For the US: For years 1800-1900, we use Table 6.6 of [Floud et al. (2011)](https://www.cambridge.org/core/books/changing-body/DE3BB0E3577205AC26823CF2120D8B7E). For years 1900-1960, we use [the archived table of food supply from USDA](https://www.ers.usda.gov/webdocs/DataFiles/50472/nutrients.xls?v=6096.1). - For Iceland: We use Table 5 of [Jonsson (1994)](https://www.tandfonline.com/doi/abs/10.1080/03585522.1998.10414677). - For Finland, Germany, Italy, Norway: We use Table 1 from [Grigg (1995)](https://www.sciencedirect.com/science/article/abs/pii/S0305748885700187), which is a compilation of many sources. - For France: We use Table 1 from Grigg (1995). - We include the two additional data points (1705 and 1785) from [Fogel (2004)](https://www.cambridge.org/core/books/escape-from-hunger-and-premature-death-17002100/384C6032DE4E73C90EF6C9D1E55009CA). - For Belgium and Netherlands: We use Table 5.5 of Floud et al. (2011). - For Uganda, Cambodia, China, India, Brazil, Mexico, and Peru for 1936 and 1947: We use Table 11 of [FAO (2000)](https://www.fao.org/4/x4400e/x4400e.pdf) (The State of Food and Agriculture). - For many countries (including some of the above) for 1947 and 1948: We use values from Table 15 from [FAO (1949)](https://www.fao.org/4/ap637e/ap637e.pdf). - Note that prior to 1961, data for the UK may correspond to England, or England and Wales; and Tanzania refers to Tanganyika.       float 
[]
 925cf64f6d7407b09594e53edc8f6b0b 60c24455e5a4f2a243c0a2039e420038

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