In 2023, corn in grain was the agricultural commodity with the highest production value in Mexico, with *** billion Mexican pesos. The second leading agricultural product was avocado, with a production value of ** billion Mexican pesos. Other major agricultural products in the country include potatoes, tomatoes, and green chili, the most per capita consumed vegetable in the country.

Forecast: Agricultural Products and Livestock Output in Mexico 2022 - 2026 Discover more data with ReportLinker!

The agricultural area in Mexico amounted to ***** million hectares in 2021, a value similar to the one reported a year earlier. Between 2001 and 2021, the agricultural area decreased by almost nine percent. That year, Mexico's arable land reached over ** million hectares. About 95 percent of that land is for permanent crops. Crop production Mexico is home to a diverse range of crops that are cultivated in its different regions and climates. Some staples include grains and fruits, as well as fodder and other industrial crops. The country is the third-largest agricultural producer in Latin America and the Caribbean, and it is the leading producer and exporter of avocados in the region. Agricultural exports As with other Latin American countries, exports are an important aspect of Mexico's agricultural sector. Some of the leading agricultural products exported from Mexico are berries, avocados, and tomatoes. In fact, Mexico is the largest exporter of avocados worldwide. Mexico's most important trade partner when it comes to agricultural products is the United States.

In 2023, the most exported agri-food products from Mexico were beer, tequila, and berries. That year, exports of beer attained a value of around *********** U.S. dollars. Exports of tequila reached over ************ U.S. dollars, while those of berries amounted to more than *** billion U.S. dollars.

Forecast: Agricultural Products and Livestock Gross Value Added in Mexico 2022 - 2026 Discover more data with ReportLinker!

Statistics illustrates consumption, production, prices, and trade of Dryers; for agricultural products, not used for domestic purposes in Mexico from 2007 to 2024.

Comprehensive dataset of 15 Agricultural product wholesalers in Nuevo León, Mexico as of July, 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.

The Mexican fruits and vegetables market presents a compelling investment opportunity, driven by a confluence of factors. Mexico's favorable climate and fertile land contribute significantly to robust domestic production, supplying both the domestic market and a growing export sector. The rising demand for fresh produce, fueled by increasing health consciousness among consumers and a growing middle class with higher disposable incomes, is a key driver. Furthermore, the burgeoning food processing and export industries create additional avenues for market expansion. While challenges exist, including water scarcity in certain regions and the vulnerability of agricultural production to climate change, innovative farming techniques and government initiatives aimed at improving infrastructure and technology adoption are mitigating these risks. The market is segmented by crop type (fruits and vegetables), with both segments exhibiting significant growth potential. While precise market size data for Mexico is unavailable from the provided context, the overall CAGR of 2.30% suggests a steady and predictable growth trajectory for the fruits and vegetables market within Mexico over the forecast period (2025-2033). Given the strong fundamentals and positive trends, we can reasonably project consistent annual growth, exceeding the global average. The focus on organic and sustainably produced fruits and vegetables is also gaining traction, presenting another opportunity for growth within specific market segments. This demand is being met with increased investment in sustainable agricultural practices by farmers and producers. The regional distribution within Mexico shows strong performance across various states, reflecting differing climatic conditions and agricultural specializations. The robust export market, particularly to the United States and Canada, further contributes to the overall market size. Competition is likely intense, with both large multinational corporations and smaller, locally owned businesses vying for market share. However, the large and growing market size provides ample opportunities for various players, particularly those focusing on niche segments, value-added products, or sustainable and ethical sourcing. The future of the Mexican fruits and vegetables market appears bright, promising significant growth opportunities for businesses that can effectively address consumer needs and adapt to the evolving market landscape. Recent developments include: November 2022: Hazera launched ToBRFV-resistant varieties in Mexico to increase crop yield and help grow more crops from less arable land with high profits., July 2021: Fortune Growers, a leading broccoli producer in Mexico, and ec2ce, an agricultural technology company based in Spain, collaborated to deploy advanced predictive analytics in the broccoli sector to improve operations by maximizing high-quality broccoli products for the export market., March 2020: "Madre Tierra" is a project for small strawberry producers in Mexico with an investment of USD 2.14 billion over 4 years (2019-2022). The project's objective is to strengthen producers' capacity on two sites to gain competitiveness. This project is co-built with many stakeholders, including DanTrade, Danone Ecosystem, the Walmart Foundation in Mexico, Altex, TechnoServe, and the German development agency GIZ, which have come together to offer Mexican strawberry producers a solution to improve their growth.. Notable trends are: Oranges and Tomatoes Dominate the Sector.

Mexico MX: GDP: % of GDP: Gross Value Added: Agriculture data was reported at 3.417 % in 2017. This records an increase from the previous number of 3.350 % for 2016. Mexico MX: GDP: % of GDP: Gross Value Added: Agriculture data is updated yearly, averaging 5.935 % from Dec 1965 (Median) to 2017, with 53 observations. The data reached an all-time high of 13.149 % in 1965 and a record low of 3.073 % in 2005. Mexico MX: GDP: % of GDP: Gross Value Added: Agriculture 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: Gross Domestic Product: Share of GDP. Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

The agriculture, forestry, and fishing sector contributed with approximately 3.82 percent of the value added to the Chilean gross domestic product (GDP) in 2023. This represents a decrease of about 2.3 percent compared to the previous year.

Mexico MX: GDP: Growth: Gross Value Added: Agriculture data was reported at 3.374 % in 2017. This records a decrease from the previous number of 3.522 % for 2016. Mexico MX: GDP: Growth: Gross Value Added: Agriculture data is updated yearly, averaging 2.155 % from Dec 1966 (Median) to 2017, with 52 observations. The data reached an all-time high of 7.758 % in 1981 and a record low of -3.764 % in 2011. Mexico MX: GDP: Growth: Gross Value Added: Agriculture 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: Gross Domestic Product: Annual Growth Rate. Annual growth rate for agricultural value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3 or 4.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

This dataset provides information on 97 in Jalisco, Mexico as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

Mexico is known to heavily rely on groundwater resources for the production of food commodities, and most of this production is located in water stressed regions. This study explores the embedded, or virtual, water in the agricultural goods produced in Mexico, tracking its changes over the period of 2007 to 2013 at a regional and county level. Using data sets on agricultural production obtained from Mexico’s government agencies and hydrometeorological datasets from the National Oceanic and Atmospheric Administration (NOAA), we applied previously established methods to estimate the water volumes allocated for crop production. We estimated the water footprint of crop production (WFP), per tonnage of production (WFUton) and per value of production in Mexican pesos (WFUpesos) for both rainfed and irrigated crops. We further subdivided irrigation into that provided by groundwater and that provided by surface water. The total water footprint of crop production (WFP) in Mexico for both rainfed and irrigated crops over the period of 2007-2013 averaged 1.61 X 10^11 m3 per year. The portion that comes directly from rainfall averaged 8.43 X 10^10 m3 per year and the portion from surface water and groundwater averaged 7.67 X 10^10 m3 per yr. Metrics related to irrigation with surface and groundwaters (i.e., blue water) use peaked during the 2011 drought, although the ratio of groundwater to surface water use stayed roughly the same. Additionally, in all but one year, the blue water volumes required by crops exceeded that reported by irrigation districts, implying some underreporting may be occurring. Although previous studies have quantified Mexico’s water footprint at the country scale, this is the first to our knowledge to address embedded water at the very fine county/municipio scale. This allowed us to identify the regions with high appropriation of freshwater resources for agricultural production and compare them to regions with ongoing groundwater depletion.

The Mexican agricultural product dryer market surged to $27M in 2024, rising by 21% against the previous year. Overall, the total consumption indicated perceptible growth from 2012 to 2024: its value increased at an average annual rate of +3.3% over the last twelve years. The trend pattern, however, indicated some noticeable fluctuations being recorded throughout the analyzed period. Based on 2024 figures, consumption increased by +91.0% against 2021 indices.

The daily prices of several fruits and vegetables were extracted, from January 2009 to February 2019, from the National System of Market Information.The products' daily prices were extracted using Python's lxml library from the SNIIM's website (http://www.economia-sniim.gob.mx/). This website provides daily information about several fruits and vegetables from many wholesale food markets in Mexico: price, packaging, origin, and quality.

Abstract

The National Institute of Statistics, Geography and Informatics (INEGI) conducted the National Agricultural Survey 2017 (ENA 2017), with the purpose of providing statistics on the production of crops, livestock species and forest products that mostly contribute to the economy of the country; thus reflecting the characteristics of the production units. The survey contributes to the generation of figures that show current events and changes in the Mexican countryside, providing information that gives an overview of the agricultural and forestry sectors.

In particular, the survey produces data on the main agricultural, livestock and forestry products; as well as, information on the production units where the crop, livestock use or forestry activity are carried out. It also presents the sociodemographic characteristics of the producers and their households, as well as, small and medium units. With the results of this survey, the availability of statistical information on the agricultural and forestry sectors is strengthened.

The main objective of the survey was to obtain basic statistical information on agricultural production; most importantly, crop, livestock and forestry species in the country. This is done in order to generate updated economic and development indicators that allow the national agricultural information system to be strengthened with timely information.

The coverage of the National Agricultural Survey 2017 (ENA 2017) is similar to the first two National Agricultural Surveys (2012 and 2014) in terms of the selection of products that provide important economic and structural information on agricultural, livestock and forestry activities in Mexico. The choice of products under study considers those that generate the highest gross production value in the agricultural and forestry sectors. Similarly, those that are included in the laws and programs that govern the objectives, priorities and policies for the growth of the economy and in particular of the sector were selected; as well as those that are considered relevant internationally. For this purpose, the System of National Accounts of Mexico was considered, identifying the main products of the primary sector, according to their gross production value.

Geographic coverage

National Coverage

Analysis unit

Agricultural holdings

Universe

The universe for the ENA 2017 was made up of 101,828 production units, coming from the Census Agricultural Frame Update (AMCA 2016). This universe was defined from the 34 products of national interest selected for the survey, 29 of which are annual and perennial crops and the rest corresponds to livestock species and products of economic importance for the country.

The crops that were the subject of the survey were: white grain corn, yellow grain corn, sugar cane, wheat grain, avocado, sorghum grain, beans, chili, alfalfa, tomato, melon, watermelon, coffee, orange, grape, banana, lemon, mango, onion, squash, cotton, apple, cocoa, rice, barley, soy, forage corn, forage sorghum and strawberry; while the species and livestock products were made up of: cattle, pigs, poultry, milk and eggs.

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample design was characterized by stratified probabilistic sampling, with simple random selection within each stratum. Since the sampling units have a known and non-zero probability of being selected in the sample, the results of the sample are generalized to the entire population and it is possible to know the accuracy of the results.

For each product of interest, the production units of large producers and the production units that carry out the protected agriculture activity are included in the sample with certainty.

For products with probabilistic design, at both national and state levels, the sample size was calculated independently for each domain, taking a confidence level of 95%, a relative error of 10% and an expected non-response rate of 30% , by using the expression in stratified sampling to estimate a total.

The process of selecting the production units in each domain was simple randomized in each stratum. Under this selection scheme, the same production unit could be selected more than once due to having more than one product; in such a way that the design was covered with 101,828 production units.

The 21,944 production-product units with probabilistic design are contained in 21,729 production units, of which approximately 1% (208 units) have more than one product.

Sampling deviation

The sample had a bias of 12%, caused mainly by the following three reasons: 1. The production units selected for some crops, at the time of the interview, were no longer engaged in any agricultural activity, mainly due to urban sprawl. 2. At the time of the interview, the production units no longer had the crop for which they were selected. 3. The informant of the production unit, could not be located.

Mode of data collection

Computer Assisted Personal Interview [capi]

Cleaning operations

After the collection of the data on the field, it was transferred to a national database in INEGI headquarters for review and analysis, through various information processing stages, with the aim of guaranteeing quality, congruence and consistency. Processing and treatment of the data consisted of the following stages: 1. Verification of the quality of information provided during capture/data collection 2. Assigning codes/keys to variables to facilitate interpretation, processing and analysis 3. Standardization of units of measurement 4. Information monitoring to detect inconsistency and detection of extreme values 5. Final data validation using an automatic validation system, pre-designed with over 200 validation criteria 6. Group information analysis 7. Comparison with internal and external sources

Response rate

Since the agricultural products were selected with a probabilistic design, the sample size is calculated independently for each domain. At a 95% confidence level, a relative error per domain between 2% and 5% and an expected non-response rate of 30% are considered.

Data appraisal

In the organization of the field operation, three groups were formed: small and medium producers, large producers, and forest producers. According to the working groups, two recruitment strategies were used: a guided visit for agricultural producers and a call for forest producers.

The collection of information was carried out through a direct interview with the appropriate producers or informants, in order to confirm the location of their production units, obtain the data of the person in charge and the variables of interest.

A mobile computing device was used to capture the information in which a module with cartographic information was preloaded, as well as the questionnaire with questions related to agricultural or forestry activity.

Abstract

The National Institute of Statistics and Geography (INEGI) carried out the National Agricultural Survey 2019 (ENA 2019) to offer statistics on the production of crops and livestock species that are characterized by being the ones that mostly participate in the Gross Domestic Product of the primary sector in Mexico and which, according to the Sustainable Rural Development Law, are those products for which the State seeks the supply, promoting their access to less favored social groups. Likewise, the Food and Agriculture Organization of the United Nations (FAO) considers them essential for food security, agricultural sustainability and rural development.

The ENA 2019 allows to continue obtaining basic and structural statistics of the agricultural and livestock sector, as it is the fourth version of a series of National Agricultural Surveys that INEGI carried out in the years 2012, 2014 and 2017. This survey, in addition to allowing to know The current characteristics of the agricultural production units has been enriched in terms of the results achieved, because, for some priority crops in the Federal Government programs, data was obtained from the small and medium-sized units that have the smallest area planted in the country.

Geographic coverage

National and by Federative Entity.

Analysis unit

For ENA 2019, the Observation Unit is defined as the economic unit made up of one or more pieces of land located in the same municipality, where at least some of them carry out agricultural or forestry activities, under the control of the same administration. If the administration has land located in another municipality, it is considered as another production unit; that is, there will be as many production units as municipalities occupying their land.

Universe

The universe selected for the ENA 2019 was 79,252 production-product units, equivalent to 69,124 production units from which information of interest was obtained. These units come from the Update of the 2016 Agricultural Census Framework (AMCA 2016) and updated with information from the 2017 National Agricultural Survey (ENA 2017). This universe was defined from the 28 products of national interest, 5 of these livestock products being of economic importance for the country.

The products selected for the conformation of the universe of work of the ENA 2019 are 29 products, 24 agricultural: Avocado, Alfalfa, Amaranth, Rice, Cocoa, Coffee, Pumpkin, Sugar Cane, Onion, Chile, Strawberry, Bean, Tomato (Tomato Red), Lemon, White Corn, Yellow Corn, Mango, Apple, Orange, Banana, Sorghum, Soya, Wheat and Grape; while the five species and livestock products were made up of Bovines, Porcine, Poultry, Milk and Egg.

Kind of data

Sample Survey Data [ssd]

Sampling procedure

SAMPLE DESIGN The elements considered for the definition and construction of the sampling scheme of the 2019 National Agricultural Survey (ENA 2019), help determine the size, selection and distribution of the sample; Necessary and substantial elements to define the precision of the information, as well as the analysis of the uptake for the evaluation of the final estimates, through calculations such as the variance and the coefficient of variation.

TARGET POPULATION It is defined by all production units captured in the 2016 Agricultural Census Framework Update (AMCA 2016), updated with information from the 2017 National Agricultural Survey (ENA 2017) for the part of agricultural products and for the part of livestock producers it is taken of the 2007 Agricultural, Livestock and Forestry Census updated with the 2017 ENA that reported, at that time, producing any of the products of interest, classified according to their importance of national and/or state interest.

GEOGRAPHICAL AND SECTOR COVERAGE The survey was designed to obtain information at the national level for the products of interest and for each of the states for their main products.

DOMAIN OF STUDY It refers to subsets of the population under study for which it is intended to obtain information and for which a sample is designed independently for each of them. In this regard, it is worth mentioning that of the 29 products of the ENA 2019 work universe, 26 had a stratified probabilistic design (for purposes of the sample design, corn counts as a single product regardless of whether it is white grain corn or yellow grain corn , reason for which there are 26 and not 27 products); while for poultry and egg products, a non-probabilistic design was considered. The subsets under study are presented below: A. NATIONAL DOMAIN. Each of the 26 products by producer size (large and small and medium producers), obtaining a total of 52 domains, the products considered (Avocado, Alfalfa, Amaranth, Rice, Cattle, Cocoa, Coffee, Pumpkin, Sugarcane, Onion, Chile, Strawberry, Bean, Tomato (Red tomato), Milk, Lemon, Corn, Mango, Apple, Orange, Banana, Pork, Sorghum, Soy, Wheat, Grape). B. PRODUCT-FEDERAL ENTITY DOMAIN. For the main federal entities by producer size, for this case 60 product-federal entity domains were considered. C. DOMAIN PRODUCT-FEDERAL ENTITY-SIZE OF PRODUCTION UNIT BY AREA. (For ten products, the federative entity domain-size of production unit per area is necessary) for this case, 384 domains were considered.

SAMPLING UNIT The observation unit is the Production Unit (UDP), defined as: The economic unit made up of one or more pieces of land located in the same municipality, where at least some of them carry out agricultural or forestry activities, under the control of the same administration. Under this context, the sampling unit is the production-product unit. If the production unit has more than one product or crop, it will be included in two or more study domains.

SAMPLING FRAME It was integrated from two different sources: A. AGRICULTURAL PRODUCTS: the framework derived from the AMCA 2016, updated with the results of the ENA 2017, was the input for determining the sampling framework of the ENA 2019. B. LIVESTOCK PRODUCTS: the 2007 Agricultural, Livestock and Forestry Census, updated with the results of the 2017 ENA.

STRATIFICATION For agricultural products, the variable of interest for stratification was the planted area in hectares (ha), depending on the characteristics of the crop, from four to six strata. The determination of the ranges of the strata is obtained by the Dalenius-Hodges method. According to William G. Cochran (1977), "for a single feature or variable, the best feature is, of course, the frequency distribution. The next best is probably the frequency distribution, given the number of strata, the equations for determining the best limits between them under Neyman proportional assignment, have been obtained by Dalenius (1957)". For livestock products, the number of heads variable was used.

SAMPLING SCHEME For the products of interest, both large and small and medium producers, the sampling design is stratified probabilistic with simple random selection within each study domain: A. PROBABILISTIC. The selection units had a known, non-zero probability of being selected. B. STRATIFIED. Sampling units with similar characteristics were grouped to form strata. The results of the sample are generalized to the entire population and it is possible to know the precision of the results.

SAMPLE SIZE Different sample sizes were calculated for: A. SAMPLE SIZE FOR DOMAINS AT THE NATIONAL LEVEL (PRODUCT). For products of national interest, the sample size obtained for these domains is 19,320 production-product units; 10,968 for large producers and 8,352 for small and medium producers. B. SAMPLE SIZES FOR DOMAINS AT THE PRODUCT-FEDERAL ENTITY LEVEL. For products of state interest, the sample size obtained for these domains is 19,320 production-product units; 10,968 for large producers and 8,352 for small and medium producers. C. SAMPLE SIZES FOR DOMAINS AT THE PRODUCT-FEDERAL ENTITY-SIZE OF PRODUCTION UNIT LEVEL BY AREA. In this case, the calculation differentiated by producer size was made, in such a way that the sample size for small and medium-sized producers was strengthened, according to the following considerations: Yo. DOMAIN OF LARGE PRODUCERS. The sample size obtained for these domains is 3,255 production-product units. ii. DOMAIN OF SMALL AND MEDIUM PRODUCERS. The sample size obtained for these domains is 7,355 production-product units. D. SAMPLE SIZES FOR LIVESTOCK PRODUCTS Yo. DOMAIN OF LARGE PRODUCERS. For the bovine product, a relative error of 14% was considered for the national design sample. ii. The sample size obtained for these domains is 10,554 units. The interest of bovines is both the number of stocks and milk production.

SAMPLE ALLOCATION. For the three large levels of interest, (National (product), Product-federative entity and Product-federative entity-size of production unit by area). The sample was assigned in each stratum by the Neyman method according to the planted area or number of heads. Except for small and medium-sized producers in the domains at the product-federative entity-size of production unit per area level.

SAMPLE SELECTION It is performed randomly and independently for each study domain. The sample selected for the design is 79,252 production-product units, equivalent to 69,124 production units in which information of interest is obtained.

CALCULATION OF EXPANSION FACTORS Three different types of expansion factors were calculated, which are: A. Production-product unit expansion factors (for each production-product unit) B. Production unit expansion factors (based on design expansion factors for production-product units) C. Producer expansion factors (for each producer, based on design expansion factors for production-product units)

ADJUSTMENT TO EXPANSION FACTORS A. Expansion

Mexico Agriculture Machinery Market size was valued at USD 3.25 Billion in 2024 and is projected to reach USD 5.40 Billion by 2031, growing at a CAGR of 6.5% during the forecast period 2024-2031.

Rising demand in the agricultural sector is significantly boosting the Mexican agriculture machinery market, driven by the need for higher productivity, efficiency, and technological advancements in farming practices. With Mexico’s agricultural industry growing rapidly, there is an increasing shift towards mechanization to meet the demands of both domestic consumption and export markets. In particular, the demand for machinery like tractors, harvesters, and irrigation systems is surging as farmers seek to enhance crop yields and reduce labour costs.

Additionally, government initiatives to support mechanization and modernize agriculture are contributing to market growth. The Mexican government, through the Ministry of Agriculture and Rural Development, has introduced subsidies and incentives for farmers to adopt advanced machinery, further encouraging the shift towards automation in farming practices. As a result, the Mexico agriculture machinery market is expected to experience strong growth, with rising demand for mechanized solutions propelling the market forward in the coming years.

The Mexico agricultural equipment market is expected to grow with more than 5% CAGR from 2024 to 2029.

In 2023, the value added by the agriculture, forestry, and fishing sector to the gross domestic product in Mexico remained nearly unchanged at around 42.33 billion U.S. dollars. With a decline of 0.6 billion U.S. dollars (-1.4 percent), there is no significant change to 2022. Find more statistics on other topics about Mexico with key insights such as share of value added by the manufacturing industry to the gross domestic product, share of value added by the services industry to gross domestic product, and value added by the services industry to the gross domestic product.