Agriculture, Animal Production, Forestry, Fishing and Hunting

Sector (11)

 2021-Q2: $1.02T MX, Gross Domestic Product

DENUE May 2020: 22,065, Economic units

Jan-Jun 2021: US$68.9M, Foreign Direct Investment

2021-Q2 : $4.06k MX, Average Monthly Salary

2021-Q2 : 1.05M, Workforce

2021-Q2 : 12.5%, Female Workforce

2021-Q2: 44, Average Age

In the second quarter of 2021 the gross domestic product was $1.02T MX, 16.7% more than the previous quarter.

According DENUE 2021, Agriculture, Animal Production, Forestry, Fishing and Hunting registered 22,065 economic units. The states with the highest number of economic units were Tabasco (2,895), Oaxaca (2,644), and Veracruz de Ignacio de la Llave (2,314).

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 second quarter of 2021 in Agriculture, Animal Production, Forestry, Fishing and Hunting the workforce was 1.05M people, 87.5% men and 12.5% women. In addition, the average monthly salary informed was $4.06k 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 Veracruz de Ignacio de la Llave,Jalisco,Chiapas.

The average age of workers in Agriculture, Animal Production, Forestry, Fishing and Hunting in the second quarter of 2021 was 44 years. In the same period, the average schooling of the workforce of Agriculture, Animal Production, Forestry, Fishing and Hunting, was 7.43 years.

Salaries and Workforce

#permalink to section

Average Monthly Salary 2021-Q2: $4.06k MX

Working population 2021-Q2: 1.05M

In the second quarter of 2021, the workforce in Agriculture, Animal Production, Forestry, Fishing and Hunting it was of 1.05M people, 87.5% men with a reported average monthly salary of $4.26k MX and 12.5% women with a salary of $2.65k MX.

Of the total employed population, 20.4% of the total workforce were formal workers with an average monthly salary of $6.89k MX, while he 79.6% corresponds to informal workers with an average salary of $3.34k MX.

Salaries and Workforce by Occupations and States

#permalink to section

In the second quarter of 2021 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 Veracruz de Ignacio de la Llave, Jalisco, and Chiapas.

Gross Domestic Product

#permalink to section
info-sign

Gross domestic product 2021-Q2: $1.02T MX

Gross Domestic Product 2020: $878B MX

In the second quarter of 2021, Agriculture, Animal Production, Forestry, Fishing and Hunting recorded a gross domestic product of $1.02T MX, evidencing an increase of 16.7% compared to the previous quarter and an increase of 16.2% compared to the same period of the previous year.

* Current values, at current prices, base year 2013. Excludes taxes on products.

Production Indicators by State

#permalink to section

According to data from the Economic Census 2019, 24,372 economic units were totaled in Agriculture, Animal Production, Forestry, Fishing and Hunting, highlighting List Oaxaca (3,744),Tabasco (3,059),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.

Production Indicators by Municipality

#permalink to section

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.

Economic Units

#permalink to section

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 2021, 17,485 companies with 0 to 10 employees were registered (39 companies less than the previous period). In the same period, 3,695 companies with 11 to 50 employees were registered (11 companies less than the previous period).

606 companies with 51 to 100 employees were registered in 2021 (equal number of companies as the previous period). Likewise, 279 companies with more than 101 employees were registered (2 companies more than the previous period).

Source National Statistical Directory of Economic Units (DENUE)

Foreign Direct Investment (FDI)

#permalink to section
info-sign

  • US$68.9M, FDI Jan-Jun 2021
  • US$1.98B, FDI Jan-1999 to Jun-2021

In the period January to June 2021, FDI from Agriculture, Animal Production, Forestry, Fishing and Hunting was US$68.9M, distributed in reinvestment of earnings (US$35.9M), inter-company debts (US$31.2M), and equity Capital (US$1.88M).

Since January 1999 to June 2021, the accumulated amount of FDI in Agriculture, Animal Production, Forestry, Fishing and Hunting was US$1.98B, distributed in reinvestment of earnings (US$886M), equity Capital (US$778M), and inter-company debts (US$321M).

* Confidential data is not shown in the chart (see information icon in the section).

* Due to the confidentiality of the data, the quarterly breakdown by type of investment does not show reinvestment of earnings.

* Due to the confidentiality of the data, the annual breakdown by type of investment does not show reinvestment of earnings.

Foreign Direct Investment (FDI) by State

#permalink to section
info-sign

Period Jan-Jun 2021: Confidential, Colima is the main receiving state

Period Jan-1999 to Jun-2021: US$577M, Querétaro is the main receiving state

From January to June 2021, the states that received the highest FDI for Agriculture, Animal Production, Forestry, Fishing and Hunting were Colima (Confidential), Baja California (Confidential), and Jalisco (US$14.6M).

Historically (from January 1999 to June2021) the states that have received the highest FDI are Querétaro (US$577M), Jalisco (US$246M), and Sonora (US$125M).

* Information download does not contain confidential data.

Foreign Direct Investment (FDI) Origin

#permalink to section
info-sign

Main investing country between Jan-Jun 2021: United States, US$66.2M

Main investing country between Jan-1999 and Jun-2021: United States, US$1.26B

During January to June de 2021, the main countries of origin of FDI for Agriculture, Animal Production, Forestry, Fishing and Hunting were United States (US$66.2M), United Kingdom (Confidential), and Germany (Confidential).

Historically (from January 1999 to June de 2021) the countries that contributed the most to FDI were United States (US$66.2M), United Kingdom (Confidential), and Germany (Confidential).

* Information download does not contain confidential data.

Diversification Frontier

#permalink to section

The Affinity-Complexity visualization compares the risk and strategic value of a potential industry's opportunities in a territory. Affinity  is a predictor of the probability that a state increases its market size in an industry. Complexity  is associated with higher levels of income, potential for economic growth, lower levels of inequality and lower emissions.

Specialization and Opportunity

#permalink to section

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).

Workforce by Schooling Years, Age Range and Gender

#permalink to section

Average Age 2021-Q2: 44

Average Years of Schooling 2021-Q2: 7.43

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 second quarter of 2021 in Agriculture, Animal Production, Forestry, Fishing and Hunting the average age for women was 45.6 years and the average schooling was 7.06 years.

The average age of men in the Agriculture, Animal Production, Forestry, Fishing and Hunting workforce was 43.7 years, while the average schooling was 7.49 years during second quarter of 2021.

* The visualization omits the range of schooling "Not Specified".

Staff According to Age of the Companies

#permalink to section

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.

Staff Turnover and Permanence

#permalink to section

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.

Access to Financing

#permalink to section

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%).

Sources and Uses of Financing

#permalink to section

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.

Information Technologies

#permalink to section

Internet Usage by State

#permalink to section

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%).

Availability of Internet Service and Computing

#permalink to section

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.

Internet Use in Companies

#permalink to section

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.

Business Management

#permalink to section

Internet Purchases and Sales

#permalink to section

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.

Problems faced by economic units

#permalink to section

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%).

Accounting System

#permalink to section

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%).

Expenditure and Income Control Mechanisms

#permalink to section

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.

Monetary Transactions

#permalink to section

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.

Environmental Standard

#permalink to section
info-sign

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.

Staff Engaged in Environmental Protection Activities

#permalink to section
info-sign

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%).

Environmental Protection Processes

#permalink to section
info-sign

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%).

Expenditure and Investment in Environmental Protection

#permalink to section
info-sign

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 ($9.08k MX), decrease energy consumption ($5.07k MX), and decrease water consumption ($3.58k 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 ($6.18k MX), decrease water consumption ($1.59k MX), and ecosystem protection activities ($1.09k MX).

Science, Innovation and Technology

#permalink to section

Innovation in Large Companies in Recent Years

#permalink to section

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%).

Innovation Activities in 2018

#permalink to section

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.

Qualified staff in Innovation Activities

#permalink to section

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.