Information

Sector (51)

 2021-Q3: $406B MX, Gross Domestic Product

DENUE May 2020: 21,228, Economic units

Jan-Sep 2021: US$554M, Foreign Direct Investment

In the third quarter of 2021 the gross domestic product was $406B MX, 1.32% more than the previous quarter.

According DENUE 2021, Information registered 21,228 economic units. The states with the highest number of economic units were Ciudad de México (1,994), Estado de México (1,870), and Veracruz de Ignacio de la Llave (1,326).

According to data from the Economic Census 2019, total gross production was $624B MX. The states with the highest total gross production were Ciudad de México ($491B MX) and Jalisco ($29.2B MX).

For its part, total income reached $637B MX in 2019, being the states with the highest income Ciudad de México ($502B MX) and Jalisco ($27.2B MX).

Economic activities are related if they require similar knowledge or inputs. In 2014 in Information the states with the highest affinity were Baja California Sur (0.89), Sinaloa (0.88), Chihuahua (0.83), San Luis Potosí (0.82), and Sonora (0.82).

Gross Domestic Product

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Gross domestic product 2021-Q3: $406B MX

Gross Domestic Product 2020: $356B MX

In the third quarter of 2021, Information recorded a gross domestic product of $406B MX, evidencing an increase of 1.32% compared to the previous quarter and an increase of 15.7% 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

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According to data from the Economic Census 2019,  8,828 economic units were totaled in Information, highlighting Ciudad de México (1,168), Estado de México (752), and Jalisco (542).

Total gross production was $624B MX. The states with the highest total gross production were Ciudad de México ($491B MX) and Jalisco ($29.2B MX).

Total income reached $637B MX in 2019, being the states with the highest income Ciudad de México ($502B MX) and Jalisco ($27.2B 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

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In 2019, Information had a total of 8,828 economic units and the municipalities with the highest number of economic units were Cuauhtémoc (231), Miguel Hidalgo (231), and Guadalajara (194).

Also, $621B MX in total income were registered and the municipalities with the highest income were Miguel Hidalgo ($270B MX), Cuauhtémoc ($104B MX), and Álvaro Obregón ($35.7B MX).

Total expenditure registered in 2019 was $477B MX and the municipalities with the highest expenditure were Miguel Hidalgo ($261B MX), Cuauhtémoc ($46.9B MX), and Cuajimalpa de Morelos ($39.8B MX).

In 2019 there were 201k employees dependent on economic units and the municipalities with the highest number of employees were Miguel Hidalgo (51k), Cuauhtémoc (45.6k), and Benito Juárez (5.51k).

* 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

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The visualization shows the number of economic units in Information according to the number of employees.

According to DENUE data published in November 2021, 16,629 companies with 0 to 10 employees were registered (4 companies less than the previous period). In the same period, 3,722 companies with 11 to 50 employees were registered (equal number of companies as the previous period).

507 companies with 51 to 100 employees were registered in 2021 (1 companies less than the previous period). Likewise, 365 companies with more than 101 employees were registered (equal number of companies as the previous period).

Source National Statistical Directory of Economic Units (DENUE)

Foreign Direct Investment (FDI)

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  • US$554M, FDI Jan-Sep 2021
  • US$26.5B, FDI Jan-1999 to Sep-2021

In the period January to September 2021, FDI from Information was US$554M, distributed in equity Capital (US$363M), inter-company debts (US$138M), and reinvestment of earnings (US$52.9M).

Since January 1999 to September 2021, the accumulated amount of FDI in Information was US$26.5B, distributed in equity Capital (US$13.3B), reinvestment of earnings (US$7.56B), and inter-company debts (US$5.57B).

* 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.

Foreign Direct Investment (FDI) by State

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Period Jan-Sep 2021: US$160M, Mexico City is the main receiving state

Period Jan-1999 to Sep-2021: US$8.74B, Mexico City is the main receiving state

From January to September 2021, the states that received the highest FDI for Information were Mexico City (US$160M), Estado de México (US$77.3M), and Querétaro (US$71.1M).

Historically (from January 1999 to September2021) the states that have received the highest FDI are Mexico City (US$8.74B), Estado de México (US$2.34B), and Nuevo León (US$1.76B).

* Information download does not contain confidential data.

Foreign Direct Investment (FDI) Origin

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Main investing country between Jan-Sep 2021: Spain, US$341M

Main investing country between Jan-1999 and Sep-2021: Spain, US$15.8B

During January to September de 2021, the main countries of origin of FDI for Information were Spain (US$341M), United States (US$70.6M), and Japan (US$39.8M).

Historically (from January 1999 to September de 2021) the countries that contributed the most to FDI were Spain (US$341M), United States (US$70.6M), and Japan (US$39.8M).

* Information download does not contain confidential data.

Diversification Frontier

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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

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As of May 2021, the states with the highest degree of specialization in Information were Sonora (1.53), Coahuila de Zaragoza (1.36), and Nuevo León (1.34). 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 Information according to Relatedness were Aguascalientes (0.64), Nayarit (0.6), and Jalisco (0.56). 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).

Access to Financing

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According to data from the Economic Census 2019, the distribution of economic units according to size that had access to financing was 10.8% units with up to 10 people, 23.7% units with 11 to 50 people, 57.5% units with 51 to 250 people, and 32.5% units with 251 and more people.

According to the age of the economic units, the distribution of those that obtained financing was 14.9% of the recently created (up to 2 years) units, 15.3% of the youth (3 to 5 years) units, 18.8% of the adults (6 to 10 years) units, and 18.4% of the seniors (over 10 years) units.

The states with the highest percentage of economic units that received financing were Michoacán de Ocampo (23.1%), Ciudad de México (22.6%), Aguascalientes (22.4%), Nuevo León (21.6%), and Quintana Roo (21.5%).

Sources and Uses of Financing

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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

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Internet Usage by State

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The visualization shows the percentage distribution of the economic units in the Information 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 Sinaloa (84.6%), Querétaro (82.8%), Baja California (81.7%), Aguascalientes (81.2%), and Ciudad de México (80.7%).

Availability of Internet Service and Computing

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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 Information sector had 70.8% of economic units that had internet services and 74% 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

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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 banking and financial operations (95.8%) stand out in percentage terms.

According to the age of the company, seniors (over 10 years) economic units that use the internet for business management (86%) stand out.

Business Management

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Internet Purchases and Sales

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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 $141B MX and purchases were $25.6B MX. On the other hand, sales made in monetary transactions were $620B MX and purchases reached $428B MX.

Problems faced by economic units

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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 Information with up to 10 workers are public insecurity (27.2%), another problems (16.3%), high taxes (13.4%), and low demand for goods or services (12.5%).

Accounting System

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According to data from the Economic Census 2019, the distribution of economic units that had an accounting system  was 67.6% units with up to 10 people, 91.8% units with 11 to 50 people, 97.9% units with 51 to 250 people, and 97.6% units with 251 and more people.

The states with the highest percentage of economic units that had an accounting system were Ciudad de México (87.6%), Tamaulipas (86%), Chihuahua (85.1%), Aguascalientes (84.7%), and Nuevo León (84.1%).

Expenditure and Income Control Mechanisms

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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 (47.9%) in companies with up to 10 people, internally developed accounting system (50.8%) in companies with 11 to 50 people, internally developed accounting system (79.4%) in companies with 51 to 250 people, and internally developed accounting system (75.6%) in companies with 251 and more people.

Monetary Transactions

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The visualization shows the percentage distribution of the economic units in the Information 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 Ciudad de México ($490B MX),Jalisco ($26.7B MX),Nuevo León ($23.9B MX),Estado de México ($11.5B MX),Tamaulipas ($7.83B 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

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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, 1.06% of the large economic units complied with the environmental standard, 36.5% did not know if they complied with any environmental standard, and 62.4% did not comply with the environmental standard.

Staff Engaged in Environmental Protection Activities

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The visualization shows the percentage distribution of economic units in the private and parastatal sectors of Information 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 Tabasco (14.6%), Veracruz de Ignacio de la Llave (8.97%), Campeche (8.51%), Guerrero (5.41%), and Colima (5.26%).

Environmental Protection Processes

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According to data from the 2019 Economic Census, 58.3% of the large economic units in the Information sector separated their waste, highlighting the separation of paper (96.5%), plastic (81.2%), and organic waste (69.3%).

On the other hand, 2.5% of the large economic units applied some treatment to the wastewater generated in their activity. The main uses of the treated water were discharge to the public network (2.16%), gardening and cleaning (0.23%), and cooling system (0.076%).

Expenditure and Investment in Environmental Protection

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According to data from the Economic Census 2019, 3.75% of the large economic units in the Information sector made expenditures on environmental protection, highlighting expenditures in reduce waste generated in processes ($41.9k MX), reduce emissions to the atmosphere ($22.7k MX), and care and maintenance of the vehicle fleet ($20.8k MX).

On the other hand, 2.08% of the large economic units made investment in environmental protection. The main investments were in mitigate or reduce noise ($9.17k MX), decrease energy consumption ($8.64k MX), and care and maintenance of the vehicle fleet ($1.67k MX).

Science, Innovation and Technology

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Innovation in Large Companies in Recent Years

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The visualizations shows the percentage distribution of the large economic units of the private and parastatal sector of Information 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 Aguascalientes (19%), Ciudad de México (14.6%), Baja California (12.2%), San Luis Potosí (11.3%), and Coahuila de Zaragoza (10.8%).

Innovation Activities in 2018

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According to data from the Economic Census 2019, 7.35% of the large economic units of the private and parastatal sector of Information had innovation activities in 2018.

Of the total staff employed in large economic units, 5.34% was employed in product innovation activities, 2.02% in process innovation, 1.79% in market innovation, 2.1% in organizational innovation, and 1.65% in innovation for technological adaptation and documentation.

Qualified staff in Innovation Activities

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The visualization shows the distribution of large economic units of the private and parastatal sector of Information 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 Information Sector had 173 economic units that had qualified staff in technological research and development activities, 9 economic units had it for research and technological development in the field of Biotechnology and 13 economic units for research and technological development in Nanotechnology.

In the same year, 57 economic units had qualified personnel in the registration or processing of patents for brands, products or processes, and 28 economic units had this type of staff to contracts or acquisition of patents for brands, products or processes.