Hong Kong SAR (China) HK: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data was reported at 6.100 % in 2017. This records a decrease from the previous number of 6.600 % for 2016. Hong Kong SAR (China) HK: Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 6.600 % from Dec 2015 (Median) to 2017, with 3 observations. The data reached an all-time high of 7.600 % in 2015 and a record low of 6.100 % in 2017. Hong Kong SAR (China) HK: 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 Hong Kong SAR (China) – Table HK.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);;

China Prevalence of Severe Food Insecurity in the Population: % of population data was reported at 1.100 % in 2017. This records an increase from the previous number of 0.800 % for 2016. China Prevalence of Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 0.800 % from Dec 2015 (Median) to 2017, with 3 observations. The data reached an all-time high of 1.100 % in 2017 and a record low of 0.600 % in 2015. China 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 China – Table CN.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);;

China Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data was reported at 9.600 % in 2017. This records an increase from the previous number of 8.300 % for 2016. China Prevalence of Moderate or Severe Food Insecurity in the Population: % of population data is updated yearly, averaging 8.300 % from Dec 2015 (Median) to 2017, with 3 observations. The data reached an all-time high of 9.600 % in 2017 and a record low of 6.900 % in 2015. China 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 China – Table CN.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);;

Historical dataset showing China hunger statistics by year from 2001 to 2022.

In the context of the new development pattern, China's food security is facing new risks, such as insufficient impetus for the sustainable enhancement of its comprehensive production capacity, and the existing grain statistics are fragmented and not comprehensive enough to meet the needs of current food security assessment studies.In this study, we constructed the time-series China Food Security Comprehensive Assessment Dataset (CFSAD,2012-2022), which includes five categories of grain, rice, wheat, corn and soybean, and covers five dimensions of the basic guarantee level, the market operation situation, the scientific and technological support capacity, the resource and environmental conditions, and the level of purchasing power, and includes fourteen indicators,such as the mean value of the risk of price volatility in the grain market,CO2 equivalent emissions by grain production,growth rate of per-mu cash receipts, etc.The dataset will be updated annually, and our dataset enables a more scientific and comprehensive assessment of China's food security situation, which can provide data support for effective government policy making and academic research.

Food security is one of the important issues in the current world development process. The article takes 31 provinces (districts and cities) in China as the research object and constructs a multidimensional food security level evaluation index system from four dimensions: quantitative security, nutritional security, ecological security, and capacity security. Using the entropy method, China’s food security index was calculated for the ten-year period from 2013 to 2022. Overall, China’s food security level showed an upward trend during the decade, with the provinces of Shandong, Heilongjiang, and Henan having the highest level of security. The distribution dynamics of food security and its spatiotemporal evolution in the seven regions were examined using the Dagum Gini coefficient and its decomposition, and the absolute and conditional convergence of food security in the different areas was verified. The results of the study show that the provinces within East China have the largest gap in food security levels between them, and there is absolute β-convergence. Looking at China as a whole, the development of its food security level is characterized by significant convergence, which means that provinces with a low level of food security will have a faster rate of growth than those with a high level of food security, resulting in a gradual narrowing of the gap in food security levels between provinces.

Abstract

According to the Food and Agricultural Organization (FAO) 123 million Chinese remained undernourished in 2003-2005. That represents 14% of the global total. UNICEF states that 7.2 million of the world's stunted children are located in China. In absolute terms, China continues to rank in the top countries carrying the global burden of under-nutrition. China must-and still can reduce under-nutrition, thus contributing even further to the global attainment of MDG1. In this context that the United Nations Joint Programme, in partnership with the Chinese government, has conducted this study. The key objective is to improve evidence of household food security through a baseline study in six pilot counties in rural China. The results will be used to guide policy and programmes aimed at reducing household food insecurity in the most vulnerable populations in China. The study is not meant to be an exhaustive analysis of the food security situation in the country, but to provide a demonstrative example of food assessment tools that may be replicated or scaled up to other places.

Geographic coverage

Six rural counties

Analysis unit

• Household
• Village

Universe

The survey covered household heads and women between 15-49 years resident of that household. A household is defined as a group of people currently living and eating together "under the same roof" (or in same compound if the household has 2 structures).

Kind of data

Sample survey data [ssd]

Sampling procedure

The required sample size for the survey was calculated using standard sample size calculations with each county representing a stratum. After the sample size was calculated, a two-stage clustering approach was applied. The first stage is the selection of villages using the probability proportional to size (PPS) method to create a self-weighted sample in which larger population clusters (villages) have a greater chance of selection, proportional to their size. Following the selection of the villages, 12 households within the village were selected using simple random selection.

Sampling deviation

Floods and landslides prevented the team from visiting two of the selected villages, one in Wuding and one in Panxian, so they substituted them with replacement villages.

Mode of data collection

Face-to-face [f2f]

Research instrument

The household questionnaire was administered to all households in the survey and included modules on demography, education, migration and remittances, housing and facilities, household assets, agricultural, income activities, expenditure, food sources and consumption, shocks and coping strategies.

The objective of the village questionnaire was to gather contextual information on the six counties for descriptive purposes. In each village visited, a focus group discussion took place on topics including: population of the village, migrants, access to social services such as education and health, infrastructure, access to markets, difficulties facing the village, information on local agricultural practices.

The questionnaires were developed by WFP and Chinese Academy of Agricultural Sciences (CAAS) with inputs from partnering agencies. They were originally formulated in English and then translated into Mandarin. They were pilot tested in the field and corrected as needed. The final interviews were administered in Mandarin with translation provided in the local language when needed.

All questionnaires and modules are provided as external resources.

Cleaning operations

After data collection, data entry was carried out by CAAS staff in Beijing using EpiData software. The datasets were then exported into SPSS for analysis. Data cleaning was an iterative process throughout the data entry and analysis phases.

Descriptive analysis, correlation analysis, principle component analysis, cluster analysis and various other forms of analyses were conducted using SPSS.

The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data over Australia, New Zealand, China, and Mongolia for nominal year 2015 at 30 meter resolution (GFSAD30AUNZCNMOCE). The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30AUNZCNMOCE data product uses the pixel-based supervised classifier, Random Forest (RF), to retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data. Each GFSAD30AUNZCNMOCE GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10° by 10° area.Known Issues Note overlapping tiles: The following tile also covers part of another tile in GFSAD30SEACE (Indonesia). Please ignore the Indonesian data in the following tile: GFSAD30AUNZCNMOCE_2015_S20E120_001_2017286154500.tif Additional known issues, including constraints and limitations, are provided on page 22 of the ATBD.

Spatial data underlying the figures in Balmford et al. "Getting road expansion on the right track: a framework for smart infrastructure planning in the Mekong", for use in a Geographic Information System All raster and shapefile data have been derived from other datasets, and show metrics of environmental cost and food production benefit in the Mekong Basin, as defined by the Asian Development Bank as Vietnam, Lao PDR, Cambodia, Thailand, Myanmar, and Yunnan Province in China. Full details are given in the figure captions and text of the associated paper. Green Rubber Project (No. #13.1432.7-001.00) with financial support of the Federal Ministry for Economic Cooperation and Development, Germany.

Food security is one of the important issues in the current world development process. The article takes 31 provinces (districts and cities) in China as the research object and constructs a multidimensional food security level evaluation index system from four dimensions: quantitative security, nutritional security, ecological security, and capacity security. Using the entropy method, China’s food security index was calculated for the ten-year period from 2013 to 2022. Overall, China’s food security level showed an upward trend during the decade, with the provinces of Shandong, Heilongjiang, and Henan having the highest level of security. The distribution dynamics of food security and its spatiotemporal evolution in the seven regions were examined using the Dagum Gini coefficient and its decomposition, and the absolute and conditional convergence of food security in the different areas was verified. The results of the study show that the provinces within East China have the largest gap in food security levels between them, and there is absolute β-convergence. Looking at China as a whole, the development of its food security level is characterized by significant convergence, which means that provinces with a low level of food security will have a faster rate of growth than those with a high level of food security, resulting in a gradual narrowing of the gap in food security levels between provinces.

Global model results of simulated shocks to pork production in China used in Mason-D'Croz et al (2020) to assess potential impacts of an African Swine Fever outbreak in China on the global food system. The scenarios explored a range of production shocks (20-80 percent), as well as sensitivity analysis around different assumptions on consumer responses. The results were simulated in a coupled bioeconomic modelling suite which included IMPACT, a global partial equilibrium model of the agriculture sector, and GLOBE, a global general equilibrium model of the full economy.

Full analysis of these scenarios is available in Mason-D'Croz et al. (2020) published in Nature Food.

Data available for download include: - Extended model results for IMPACT and GLOBE (Model Results Supplementary Data...) - Data underlying figures in Mason-D'Croz et al. (Published figures...)

How to cite: Please cite both the mendeley dataset and the primary analysis Mason-D'Croz, D., J.R. Bogard, M. Herrero, S. Robinson, T.B. Sulser, K. Wiebe, D. Willenbockel, and H.C.J. Godfray (2020). "Modelling the global economic consequences of a major African swine fever outbreak in China". Nature Food. Mason-D'Croz, D., J.R. Bogard, M. Herrero, S. Robinson, T.B. Sulser, K. Wiebe, D. Willenbockel, and H.C.J. Godfray (2020). “Data for: Modelling the global economic consequences of a major African swine fever outbreak in China”, Mendeley Data, VX, doi: 10.17632/zgrngg5hp5.1

The NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Global Food Security-support Analysis Data (GFSAD) data product provides cropland extent data over Australia, New Zealand, China, and Mongolia for nominal year 2015 at 30 meter resolution (GFSAD30AUNZCNMOCE). The monitoring of global cropland extent is critical for policymaking and provides important baseline data that are used in many agricultural cropland studies pertaining to water sustainability and food security. The GFSAD30AUNZCNMOCE data product uses the pixel-based supervised classifier, Random Forest (RF), to retrieve cropland extent from a combination of Landsat 8 Operational Land Imager (OLI) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) data. Each GFSAD30AUNZCNMOCE GeoTIFF file contains a cropland extent layer that defines areas of cropland, non-cropland, and water bodies over a 10° by 10° area.Known Issues Note overlapping tiles: The following tile also covers part of another tile in GFSAD30SEACE (Indonesia). Please ignore the Indonesian data in the following tile: GFSAD30AUNZCNMOCE_2015_S20E120_001_2017286154500.tif Additional known issues, including constraints and limitations, are provided on page 22 of the ATBD.

（停止更新）人口中普遍存在严重的粮食不足：占人口百分比在12-01-2017达1.100%，相较于12-01-2016的0.800%有所增长。（停止更新）人口中普遍存在严重的粮食不足：占人口百分比数据按年更新，12-01-2015至12-01-2017期间平均值为0.800%，共3份观测结果。该数据的历史最高值出现于12-01-2017，达1.100%，而历史最低值则出现于12-01-2015，为0.600%。CEIC提供的（停止更新）人口中普遍存在严重的粮食不足：占人口百分比数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的中国 – Table CN.World Bank.WDI: Social: Health Statistics。

This documentation contains the software code used to generate the cropland extent data.

Snapshot img

Hispanic Foods Market Size 2025-2029

The hispanic foods market size is forecast to increase by USD 533.4 million, at a CAGR of 6.3% between 2024 and 2029.

The market is experiencing significant growth, driven by changing consumer lifestyles and the increasing demand for healthy, convenient food options. One notable trend is the rise in preference for gluten-free tortillas, reflecting the health-conscious consumer shift. However, this market faces challenges, including stringent regulations that impact product innovation and manufacturing processes. This market segment excels in offering authentic flavors and functional food ingredients that reflect the rich culinary heritage of culture.
The market is continuously enriched by a steady stream of new product launches, providing consumers with a wide variety of diverse and flavorful choices such as nachos. Companies must navigate these obstacles to capitalize on opportunities and effectively serve the growing consumer base seeking authentic, health-conscious Hispanic food offerings.

What will be the Size of the Hispanic Foods Market during the forecast period?

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The market, a vibrant segment of the global cuisines industry, continues to evolve with changing demographics and cultural diversity. Economists project significant growth in the demand for burritos, tacos, and nachos, driven by the expanding Hispanic population in the US. Tortillas and salsa remain staples, with tortilla supply chain challenges persisting due to raw material sourcing and food insecurity concerns. Spanish-language information and food assistance programs are crucial for reaching this market. Authenticity and cultural heritage are key differentiators, with consumers seeking gluten-free tortillas and alternative offerings like peanut butter and pretzels. In the tortillas segment, global companies cater to diverse consumer tastes by offering flavored varieties, such as cinnamon, cheddar, and jalapeno.
Federal responses to food insecurity and supply chain disruptions are shaping market trends. Touring expeditions and cultural experiences further fuel interest in Hispanic foods, bridging the gap in lack of awareness and promoting the richness of Spanish-speaking heritage. Pickles and other traditional side dishes add flavor and depth to this dynamic market. These dishes often incorporate raw materials like peanut butter and pickles, adding unique flavors and textures.

How is this Hispanic Foods Industry segmented?

The hispanic foods industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Tortillas
  Tacos
  Burritos
  Enchiladas
  Others


Product

  Traditional
  Tex-mex
  Fusion


Distribution Channel

  Offline
  Online


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    Indonesia
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The tortillas segment is estimated to witness significant growth during the forecast period.

The market exhibits dynamic trends, with international food and authentic Hispanic dishes gaining popularity in developed regions. Tortillas, a staple in Hispanic cuisine, witness significant growth due to increasing per capita consumption in North America and Europe. Changing taste preferences have led to the introduction of flavored tortillas and tortilla chips, expanding the product offerings in the market. For instance, The Hain Celestial Group launched Garden Veggies Flavor Burst Tortilla Chips in February 2024, catering to health-conscious consumers with gluten-free, non-GMO, and preservative-free options. Urban food lifestyles have also influenced the market, with a rise in demand for convenient food products. Prime factors driving this trend include the convenience and ease of preparation of Hispanic food items and Mexican food, such as tortillas and corn-based products, which offer significant health advantages.

However, concerns regarding the ill-effects of gluten and sodium content in processed foods have led to an increasing preference for healthy foods. Hispanic food manufacturers are responding to this trend by producing gluten-free tortillas and enchiladas, offering significant health advantages. Moreover, the global food industry is adapting to the needs of developing regions by preparing products locally and ensuring metabolism regulation through essential vitamins like folate and pantothenic acid. The food commodity sector is closely monitoring the fluctuating prices of key ingredients, such as corn, to maintain product affordability. Despite these challenges, the market remains vibrant, with burrito chain restaurants and hotel-retail

Understanding the food trading network is crucial for optimizing resource allocation, maintaining stability in the food system, and safeguarding food security. However, as one of the world's largest agricultural producers, there is a dearth of publicly available data sources pertaining to China's interprovincial physical food trade. Here, we developed a dataset of interprovincial physical food flows in mainland China for the period 2000-2022, using the trade gravity model with the integration of food supply, food demand, and transportation data. This dataset includes 15 key types of plant-based and animal-based food products and represents the longest time series covering the most extensive variety of food products to date on China's food trade patterns. The dataset reveals changes in dietary structures and trade patterns across regions within China since the 21st century. This work provides a methodological framework and dataset that could support studies on virtual resources flow, agri-environmental impact assessment, and food policy formulation across various food categories and regions.

Food security issues arising from hunger and unscientific diets are threatening the realization of the overarching goal of sustainable development in many countries. When food from traditionally cultivated land is not sufficient to meet demand, food from forests will be able to effectively supplement it. Here we examine the development and spatial and temporal evolution of forest food in China over the past fifteen years (2006-2020), based mainly on empirical evidence from China, while measuring the number of people that forest food can feed and the amount of agricultural carbon emissions it replaces. According to our results, most of China's forest food is distributed in collective forest areas, and its share in major agricultural products is increasing year by year, approaching 10% in 2020. Under our given five SSPs scenarios, the SSP1 scenario has the most forest food equivalents in 2050, while the demand-side data of forest food measured based on the population data calculated by the cohort factor method is matched with the supply-side data of the previous projections to obtain the highest number of males, females, and the average population that can be fed under the SSP1 scenario, which is close to the SSP2 scenario. The proportion of agricultural carbon emissions that can be replaced in the SSP1 scenario also increases over the years, with clear environmental benefits. Finally, the ability to drive forest food growth obtained in structural equation modeling depends on factors such as economic level, population size and technological innovation.

a. Data content (data file/table name, observation index content included) This data includes a 1km resolution remote sensing monitoring and simulation spatial data set of food supply in Songnen Plain in 2015, which can provide data support for food security in Songnen Plain. b. Construction purpose Grain production is a major strategic issue for national economic development and social stability. In recent years, China has attached great importance to grain production. Scientific and technological progress, policy support, climate conditions and other factors have provided favorable conditions for China to increase grain production. Songnen Plain is one of the three major plains in Northeast China. It is one of the important grain producing areas in China and one of the important distribution areas of swamps and wetlands. It is very important for national and regional food security and ecological security. c. Service object It can widely serve scientific researchers and students in food security, ecological monitoring and other related disciplines. d. Time range of data 2015 e. Spatial range of data Songnen Plain f. Projection mode of data Projected Coordinate System：Krasovsky_1940_Albers Geographic Coordinate System： GCS_Krasovsky_1940 g. Subject scope of data Biology>ecology>Regional Ecology h. Amount of data The total data volume is about 4.82mb

a. Data content (data file/table name, observation index content included) The spatial data set of food supply capacity with 1km resolution in Chifeng, Inner Mongolia in 2015 can provide data support for food security in Chifeng, Inner Mongolia. b. Construction purpose Grain production is a major strategic issue for national economic development and social stability. In recent years, China has attached great importance to grain production. Scientific and technological progress, policy support, climate conditions and other factors have provided favorable conditions for China to increase grain production. Chifeng City in Inner Mongolia is a typical area of the farming pastoral ecotone in northern China. The ecological environment is fragile. Food supply is crucial for national and regional food security and ecological security. c. Service object It can widely serve scientific researchers and students in food security, ecological monitoring and other related disciplines. d. Time range of data 2015 e. Spatial range of data Chifeng, Inner Mongolia f. Projection mode of data Projected Coordinate System：Krasovsky_1940_Albers Geographic Coordinate System： GCS_Krasovsky_1940 g. Subject scope of data Biology>ecology>Regional Ecology h. Amount of data The total data volume is about 1.00MB

The acquisition of agricultural land is a crucial aspect of survival for numerous rural communities, serving as a fundamental tool for combating poverty and food insecurity and promoting equitable sustainable economic progress. The expropriation of land offers a promising prospect for remedying past inequities and promoting both economic progress and food sufficiency. Limited research has examined the association between land expropriation and food security, livelihood shocks, and the well-being of rural households worldwide. Therefore, this research explores the implications of land expropriation on food security, livelihood shocks, and well-being of land lost rural communities. The data were collected from 384 farmers selected through stratified sampling techniques using face-to-face surveys in rural China. The data were analyzed using descriptive and logit regression models. The descriptive findings showed that land expropriation has detrimental effects on the livelihood, food security, and well-being of the farmers. Furthermore, these impacts are more harmful among land-expropriated households with a lower educational level, a large family size, and women farmers in less developed rural communities. The econometric results evinced that gender, age, education level, marital status, family size, and negative changes in income all significantly affect the impact of land expropriation on the food security of farmers. Similarly, the findings revealed that farmers with lower education levels were more likely to be affected by land loss as compared to farmers with medium and high education levels. Farmers with complete land loss were 1.70 times more likely to suffer livelihood shocks than those with partial land loss. The results also evinced that the well-being of all farmers was not affected equally, and some farmers’ well-being was affected more than others due to various socioeconomic backgrounds. Therefore, this study suggests the implementation of public policies that provide support to farmers who have been marginalized due to land acquisition.