Comprehensive dataset of 11,629 Vegan restaurants in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

In 2022, Latin America had the highest growth rate for plant-based meat substitutes among all regions worldwide. Latin America's growth rate was approximately 36 percent. This was more than three times as much as the growth rate of Europe, which was the second-fastest growing region, with approximately nine percent growth.

According to a survey conducted among people who took part in Veganuary worldwide in 2023, nearly half of the respondents intended to reduce their consumption of animal products by at least three quarters or more after Veganuary. Only one percent of respondents stated that they would not do so at all.

Yeast derived-dairy (YDD) produced using cellular agriculture technologies is already available for purchase in the United States, though there has been little study of public understanding of these products. Our pilot study explored consumer perception and acceptance of YDD and yeast-derived agriculture (YDA). The study employed a questionnaire consisting of Likert scale, multiple-choice and open-ended questions, which was disseminated to vegans and the food-interested public in the province of British Columbia, Canada. Quantitative data was analyzed using SPSS 27.0, and qualitative data was collected and analyzed (in English) using thematic analysis. A binary logistic regression model indicated that among our participants, being vegan or 35 years of age or older negatively predicted having positive feelings towards YDA [chi-square (10) = 29.086, p = 0.001]. Vegans were less likely to try or purchase YDD than non-vegans. Consumers in our study shared concerns regarding the health and safety of YDD with many viewing it as non-vegan and a highly processed product. Although vegans receive a disproportionate amount of media attention with regards to cellular agriculture, our pilot study suggests this group may be unlikely to accept or consume YDA or YDD. Rather, our preliminary work indicates non-vegans and individuals under the age of 35 may be a more receptive market. Across groups, confusion about YDA processes may be a barrier to adoption.

This folder contains eight datasets. See scientific paper for more details on the methodology. Four datasets "land footprint_total/feed/food/grass.csv" indicate the spatial distribution (country level) of the land footprint (in m2 per year) for six diets of consumers in the United States of America: (aad (standard diet), non-vegetarian, semi-vegetarian, eat (diet recommended by the Lancet), lacto-ovo vegetarian, vegan), and three average diets (meat-rich (aad + non-vegetarian), low-meat (semi-vegetarian + eat), no-meat (lacto-ovo vegetarian + vegan)). _food = for food only (excluding animal products); _feed = for animal feed (corn, sorghum, barley, oat, soybean, wheat) embedded in the consumption of animal products (poultry, beef, pork, milk, eggs); _grass = grass embedded in the consumption of milk and beef. Four datasets indicate the spatial distribution of ecological impacts associated to the six diets of consumers in the United States of America. _nitrogen indicates the potential for nitrogen fixation (in m2 per year). Three indicators per diet: nitro = all legume crops considered; no.soya = all legume crops excluding soya; soya = only soya considered. _pollination indicates the reliance on pollination (in m2 per year). Two indicators per diet: polli = area needing pollinator visit; extra: extra land footprint in absence of pollinator visit (due to lower crop yield when pollination does not occur). _wf indicates the volumetric water footprint (in m3 per year). Two indicators per diet: bluewf = water extracted from freshwater ecosystems; greywf = water polluted in freshwater ecosystems. wsi_wf indicates the stress-weighed water footprint -i.e. the pressure put on freshwater ecosystems - obtained by multiplying the volumetric water footprint by water-stress characterization factors at the national level (from Ridoutt and Pfister, 2010). FAO codes, ISO3 or ISO2 of the countries of origin of the crops can be used to visualise the data in GIS.

Energy and TID-adjusted protein consumption among vegan participants.