Sector (11)
2024-Q1: $1.15T MX, Gross Domestic Product
DENUE May 2024: 44,212, Economic units
Jan-Mar 2024: US$265M, Foreign Direct Investment
2024-Q1 : $5.64k MX, Average Monthly Salary
2024-Q1 : 1.83M, Workforce
2024-Q1 : 12.5%, Female Workforce
2024-Q1: 45, Average Age
In the first quarter of 2024 the gross domestic product was $1.15T MX, 19.5% less than the previous quarter.
According DENUE 2024, Agriculture, Animal Production, Forestry, Fishing and Hunting registered 44,212 economic units. The states with the highest number of economic units were Tabasco (5,792), Oaxaca (5,304), and Veracruz de Ignacio de la Llave (4,636).
According to data from the Economic Census 2019, total gross production was $44.6B MX. The states with the highest total gross production were Sonora ($10.6B MX) and Sinaloa ($8.34B MX).
For its part, total income reached $46B MX in 2019, being the states with the highest income Sonora ($11B MX) and Sinaloa ($8.9B MX).
Economic activities are related if they require similar knowledge or inputs. In 2014 in Agriculture, Animal Production, Forestry, Fishing and Hunting the states with the highest affinity were Baja California Sur (0.9), San Luis Potosí (0.85), Chihuahua (0.84), Sinaloa (0.84), and Durango (0.83).
During the first quarter of 2024 in Agriculture, Animal Production, Forestry, Fishing and Hunting the workforce was 1.83M people, 87.5% men and 12.5% women. In addition, the average monthly salary informed was $5.64k MX.
During the same period, occupations with the highest number of workers in Agriculture, Animal Production, Forestry, Fishing and Hunting were Workers in Breeding Cattle, Support Workers in Farming Activities, and Workers in Fisheries.
At the state level, the occupied population of Agriculture, Animal Production, Forestry, Fishing and Hunting was concentrated in List Jalisco,Veracruz de Ignacio de la Llave,Chiapas.
The average age of workers in Agriculture, Animal Production, Forestry, Fishing and Hunting in the first quarter of 2024 was 45 years. In the same period, the average schooling of the workforce of Agriculture, Animal Production, Forestry, Fishing and Hunting, was 7.37 years.
Average Monthly Salary 2024-Q1: $5.64k MX
Working population 2024-Q1: 1.83M
In the first quarter of 2024, the workforce in Agriculture, Animal Production, Forestry, Fishing and Hunting it was of 1.83M people, 87.5% men with a reported average monthly salary of $5.92k MX and 12.5% women with a salary of $3.67k MX.
Of the total employed population, 23.4% of the total workforce were formal workers with an average monthly salary of $8.86k MX, while he 76.6% corresponds to informal workers with an average salary of $4.65k MX.
In the first quarter of 2024 the occupations with the highest number of workers were Workers in Breeding Cattle, Support Workers in Farming Activities, and Workers in Fisheries.
At the state level, the workforce of Agriculture, Animal Production, Forestry, Fishing and Hunting was concentrated on Jalisco, Veracruz de Ignacio de la Llave, and Chiapas.
Gross domestic product 2024-Q1: $1.15T MX
Gross Domestic Product 2023: $1.21T MX
In the first quarter of 2024, Agriculture, Animal Production, Forestry, Fishing and Hunting recorded a gross domestic product of $1.15T MX, evidencing a drop of 19.5% compared to the previous quarter and an increase of 5.81% compared to the same period of the previous year.
* Current values, at current prices, base year 2013. Excludes taxes on products.
According to data from the Economic Census 2019, 24,372 economic units were totaled in Agriculture, Animal Production, Forestry, Fishing and Hunting, highlighting Oaxaca (3,744), Tabasco (3,059), and Sinaloa (2,321).
Total gross production was $44.6B MX. The states with the highest total gross production were Sonora ($10.6B MX) and Sinaloa ($8.34B MX).
Total income reached $46B MX in 2019, being the states with the highest income Sonora ($11B MX) and Sinaloa ($8.9B MX).
* It is recommended to consider the values as approximations of the real value because some records have been anonymized due to confidentiality principles.
In 2019, Agriculture, Animal Production, Forestry, Fishing and Hunting had a total of 24,372 economic units and the municipalities with the highest number of economic units were Centla (894), San Miguel Soyaltepec (561), and Centro (521).
Also, $42.4B MX in total income were registered and the municipalities with the highest income were Hermosillo ($4.45B MX), Ensenada ($3.41B MX), and Mazatlán ($3.17B MX).
Total expenditure registered in 2019 was $23.7B MX and the municipalities with the highest expenditure were Ensenada ($2.33B MX), Mazatlán ($2.21B MX), and Hermosillo ($1.98B MX).
In 2019 there were 210k employees dependent on economic units and the municipalities with the highest number of employees were Ahome (7.13k), Hermosillo (6.11k), and Acapulco de Juárez (5.34k).
* Any inconsistency between the data at the state and municipal level is due to the anonymization methodologies applied to the data, also municipalities not shown in the visualization have been anonymized.
The visualization shows the number of economic units in Agriculture, Animal Production, Forestry, Fishing and Hunting according to the number of employees.
According to DENUE data published in May 2024, 35,012 companies with 0 to 10 employees were registered (17,561 companies more than the previous period). In the same period, 7,416 companies with 11 to 50 employees were registered (3,713 companies more than the previous period).
1,214 companies with 51 to 100 employees were registered in 2024 (604 companies more than the previous period). Likewise, 570 companies with more than 101 employees were registered (285 companies more than the previous period).
Source National Statistical Directory of Economic Units (DENUE)
In the period January to March 2024, FDI from Agriculture, Animal Production, Forestry, Fishing and Hunting was US$265M, distributed in reinvestment of earnings (US$150M), inter-company debts (US$115M), and equity Capital (Confidential).
Since January 1999 to March 2024, the accumulated amount of FDI in Agriculture, Animal Production, Forestry, Fishing and Hunting was US$3.52B, distributed in reinvestment of earnings (US$1.52B), equity Capital (US$1.15B), and inter-company debts (US$840M).
* Confidential data is not shown in the chart (see information icon in the section).
Period Jan-Mar 2024: US$0
Period Jan-1999 to Mar-2024: US$921M, Querétaro is the main receiving state
No FDI is recorded in the period January to March, 2024
Historically (from January 1999 to March2024) the states that have received the highest FDI are Querétaro (US$921M), Jalisco (US$477M), and Sinaloa (US$337M).
* Information download does not contain confidential data.
Periodo Jan-Mar 2024: ---, US$0
Main investing country between Jan-1999 and Mar-2024: United States, US$1.77B
No FDI is recorded in the period January to March of 2024.
Historically (from January 1999 to March de 2024) the countries that contributed the most to FDI were United States (US$160M), Chile (Confidential), and Brazil (Confidential).
* Information download does not contain confidential data.
As of May 2021, the states with the highest degree of specialization in Agriculture, Animal Production, Forestry, Fishing and Hunting were Tabasco (8.47), Campeche (6.07), and Baja California Sur (4.78). The degree of specialization is measured using the RCA index, which represents the ratio between the observed and expected establishments of each state for each industry.
The states with the highest degree of development opportunity in Agriculture, Animal Production, Forestry, Fishing and Hunting according to Relatedness were San Luis Potosí (0.85), Chihuahua (0.84), and Durango (0.83). The Relatedness measures the distance between an industry and the current industrial composition in each state. The presented entities register a level of specialization lower than one unit (RCA <1).
Average Age 2024-Q1: 45
Average Years of Schooling 2024-Q1: 7.37
The visualization shows the workforce of Agriculture, Animal Production, Forestry, Fishing and Hunting by age group and years of schooling, comparing men and women.
In the first quarter of 2024 in Agriculture, Animal Production, Forestry, Fishing and Hunting the average age for women was 44.5 years and the average schooling was 7.59 years.
The average age of men in the Agriculture, Animal Production, Forestry, Fishing and Hunting workforce was 45.1 years, while the average schooling was 7.34 years during first quarter of 2024.
* The visualization omits the range of schooling "Not Specified".
The visualization shows the percentage distribution of employed staff according to age range or educational level in economic units of different ages.
According to data from the Economic Census 2019, the economic units of the Agriculture, Animal Production, Forestry, Fishing and Hunting sector had 233,554 people employed, by age range 9,142 people up to 20 years old were registered, 46,646 people from 21 to 30 years old, 73,552 people from 31 to 40 years old and 104,214 people over 40 years old.
By educational level 21,289 people without education were registered, 155,927 people with basic education, 43,268 people with upper secondary education and 13,070 people with higher education.
The visualization shows the percentage distribution of staff turnover and permanence in companies of different sizes and ages, according to the option selected in the upper button.
According to data from the Economic Census 2019, employee turnover is 16.6% in companies with up to 10 people, 16.5% in companies with 11 to 50 people, 16% in companies with 51 to 250 people, and 20.9% in companies with 251 and more people.
According to data from the Economic Census 2019, the staff distribution who received training according to age range was 11.5% of staff with up to 20 years, 10.5% of staff between 21 and 30 years, 9.82% of staff between 31 and 40 years, and 5.32% of staff with 41 years or more.
According to the level of instruction, the distribution of trained staff was 7.16% of staff without intruction, 6.06% of staff with basic education, 12.9% of staff with upper secondary education, and 16.5% of staff with higher education.
According to data from the Economic Census 2019, the distribution of economic units according to size that had access to financing was 5.79% units with up to 10 people, 12.9% units with 11 to 50 people, 17.4% units with 51 to 250 people, and 41.5% units with 251 and more people.
According to the age of the economic units, the distribution of those that obtained financing was 7.89% of the recently created (up to 2 years) units, 11.5% of the youth (3 to 5 years) units, 9.06% of the adults (6 to 10 years) units, and 6.73% of the seniors (over 10 years) units.
The states with the highest percentage of economic units that received financing were Chihuahua (26.5%), Nayarit (20.9%), Sonora (20%), Coahuila de Zaragoza (17.6%), and Nuevo León (17.5%).
The visualization shows the percentage of economic units according to size or age according to the sources of financing or the uses they gave to the financing received.
In the chart, each level corresponds to a size or age of the company depending on the option selected in the upper button. The darker the box, the higher the percentage of economic units that are in that category.
According to data from the Economic Census 2019, the distribution of economic units that had a bank account was 11.1% units with up to 10 people, 50.6% units with 11 to 50 people, 59.1% units with 51 to 250 people, and 83% units with 251 and more people.
The states with the highest percentage of economic units that had a bank account were Baja California (80%), Sonora (70.3%), Nuevo León (52.5%), Coahuila de Zaragoza (48.7%), and Chihuahua (48.5%).
The same information can be viewed for the economic units that had bank credit by changing the option selected in the upper button.
The visualization shows the percentage of economic units classified by size according to reasons for not having a bank account or credit.
In the chart, each level corresponds to a company size, the darker the box, the greater the percentage of economic units that are in that category. The categories represent the reasons why the companies did not have a bank account or credit, depending on the option selected in the upper button.
The visualization shows the percentage distribution of the economic units in the Agriculture, Animal Production, Forestry, Fishing and Hunting sector that had internet services.
According to data from the Economic Census 2019, the states with the highest percentage of economic units that had internet services were Campeche (100%), Quintana Roo (85.7%), Chihuahua (72.2%), Querétaro (70%), and Ciudad de México (69.2%).
The visualization shows the distribution of companies that had internet services or computer services according to the size or age of the economic units, depending on the options selected in the upper buttons.
According to data from the Economic Census 2019, the Agriculture, Animal Production, Forestry, Fishing and Hunting sector had 32.9% of economic units that had internet services and 48.5% of economic units that had computer services. The disaggregation by size or age of the units can be analyzed in the visualization.
The visualization shows where the economic units are concentrated depending on the use they make of the internet, according to the size or age of the company.
According to the size of the company, the economic units of 251 and more people that use the internet in search information for goods or services (92.9%) stand out in percentage terms.
According to the age of the company, youth (3 to 5 years) economic units that use the internet for business management (91%) stand out.
The visualization shows the distribution of purchases and sales over the Internet and the distribution of monetary transactions according to the medium used in the transaction and the size of the companies.
According to data from the 2019 Economic Census, internet sales reached $4.51B MX and purchases were $2.66B MX. On the other hand, sales made in monetary transactions were $44.5B MX and purchases reached $24.7B MX.
The chart shows the main problems faced by economic units. With the upper selector it is possible to analyze the problems affecting companies according to their size. By default, the problems of economic units with up to 10 people are shown.
According to data from the Economic Census 2019, the main problems faced by the economic units of Agriculture, Animal Production, Forestry, Fishing and Hunting with up to 10 workers are high costs of raw materials (24.7%), another problems (20.1%), lack of credit (15%), and excess government procedures to operate (6.92%).
According to data from the Economic Census 2019, the distribution of economic units that had an accounting system was 29.9% units with up to 10 people, 88.8% units with 11 to 50 people, 91.6% units with 51 to 250 people, and 96.2% units with 251 and more people.
The states with the highest percentage of economic units that had an accounting system were Baja California (91%), Chihuahua (80.9%), Nuevo León (80%), Querétaro (76.9%), and Baja California Sur (76.9%).
The chart shows the percentage of companies by size that used different mechanisms to control expenses and income in their operations.
According to data from the Economic Census 2019, the main expenses and income control mechanisms were external accounting system (50.6%) in companies with up to 10 people, external accounting system (82.3%) in companies with 11 to 50 people, external accounting system (75.3%) in companies with 51 to 250 people, and external accounting system (47.1%) in companies with 251 and more people.
The visualization shows the percentage distribution of the economic units in the Agriculture, Animal Production, Forestry, Fishing and Hunting sector according to the amount of income from the supply of goods and services.
According to data from the Economic Census 2019, the states with the highest income from the supply of goods and services were list Sonora ($10.6B MX),Sinaloa ($8.34B MX),Baja California ($3.53B MX),Baja California Sur ($2.25B MX),Yucatán ($1.99B MX).
With the upper selector it is possible to see the distribution of expenses for consumption of goods and services, in addition to the amounts of purchases or sales over the internet.
The visualization shows the percentage of large economic units of the private and parastatal sector that had activities in 2018, according to compliance with the environmental standard.
In 2018, 6.06% of the large economic units complied with the environmental standard, 25.3% did not know if they complied with any environmental standard, and 68.7% did not comply with the environmental standard.
The visualization shows the percentage distribution of economic units in the private and parastatal sectors of Agriculture, Animal Production, Forestry, Fishing and Hunting that had staff in environmental protection activities by state.
According to data from the Economic Census 2019, the states with the highest percentage of large economic units that had staff in environmental protection activities were Nuevo León (15%), Aguascalientes (11.4%), Tlaxcala (8.47%), Coahuila de Zaragoza (5.77%), and Hidalgo (4.62%).
According to data from the 2019 Economic Census, 19.8% of the large economic units in the Agriculture, Animal Production, Forestry, Fishing and Hunting sector separated their waste, highlighting the separation of plastic (74.6%), organic waste (47.1%), and paper (36.7%).
On the other hand, 1.58% of the large economic units applied some treatment to the wastewater generated in their activity. The main uses of the treated water were same production process (0.64%), gardening and cleaning (0.47%), and discharge to the public network (0.42%).
According to data from the Economic Census 2019, 0.6% of the large economic units in the Agriculture, Animal Production, Forestry, Fishing and Hunting sector made expenditures on environmental protection, highlighting expenditures in care and maintenance of the vehicle fleet ($9.08M MX), decrease energy consumption ($5.07M MX), and decrease water consumption ($3.58M MX).
On the other hand, 0.29% of the large economic units made investment in environmental protection. The main investments were in decrease energy consumption ($6.18M MX), decrease water consumption ($1.59M MX), and ecosystem protection activities ($1.09M MX).
The visualizations shows the percentage distribution of the large economic units of the private and parastatal sector of Agriculture, Animal Production, Forestry, Fishing and Hunting with innovation activities in at least one year between 2016 and 2018.
According to data from the Economic Census 2019, the states with the highest percentage of large economic units with innovation activities in 2016, 2017 or 2018 were Jalisco (33.3%), Sinaloa (28.6%), Guanajuato (25%), Chihuahua (16.7%), and Michoacán de Ocampo (14.3%).
According to data from the Economic Census 2019, 10.3% of the large economic units of the private and parastatal sector of Agriculture, Animal Production, Forestry, Fishing and Hunting had innovation activities in 2018.
Of the total staff employed in large economic units, 1.18% was employed in product innovation activities, 18.2% in process innovation, 1.13% in market innovation, 1.01% in organizational innovation, and 0.79% in innovation for technological adaptation and documentation.
The visualization shows the distribution of large economic units of the private and parastatal sector of Agriculture, Animal Production, Forestry, Fishing and Hunting that employed qualified staff in technological research and development activities in 2016, 2017 and 2018.
According to data from the Economic Census 2019, the lowercase Agriculture, Animal Production, Forestry, Fishing and Hunting Sector had 9 economic units that had qualified staff in technological research and development activities, 1 economic units had it for research and technological development in the field of Biotechnology and 0 economic units for research and technological development in Nanotechnology.
In the same year, 2 economic units had qualified personnel in the registration or processing of patents for brands, products or processes, and 0 economic units had this type of staff to contracts or acquisition of patents for brands, products or processes.