Jan-Jun 2024: Confidential, Foreign Direct Investment
In the second quarter of 2024 the gross domestic product was $458B MX, 6.25% more than the previous quarter.
According to data from the Economic Census 2019, total gross production was $12.3B MX. The states with the highest total gross production were Ciudad de México ($6.15B MX) and Chihuahua ($1.53B MX).
For its part, total income reached $12.4B MX in 2019, being the states with the highest income Ciudad de México ($6.28B MX) and Chihuahua ($1.54B MX).
Economic activities are related if they require similar knowledge or inputs. In 2014 in Data Processing, Hosting, and Related Services the states with the highest affinity were Sonora (0.81), Chihuahua (0.76), Nuevo León (0.72), Coahuila de Zaragoza (0.71), and Querétaro (0.69).
* Data displayed corresponds to the sector Information since the information at lower levels of disaggregation is not available.
In the second quarter of 2024, Information recorded a gross domestic product of $458B MX, evidencing an increase of 6.25% compared to the previous quarter and a drop of 4.22% compared to the same period of the previous year.
* Current values, at current prices, base year 2013. Excludes taxes on products.
Total gross production was $12.3B MX. The states with the highest total gross production were Ciudad de México ($6.15B MX) and Chihuahua ($1.53B MX).
Total income reached $12.4B MX in 2019, being the states with the highest income Ciudad de México ($6.28B MX) and Chihuahua ($1.54B MX).
* It is recommended to consider the values as approximations of the real value because some records have been anonymized due to confidentiality principles.
According to dato from Economic Census 2014, Data Processing, Hosting, and Related Services had a total of 525 economic units and the municipalities with the highest number of economic units were Miguel Hidalgo (63), Cuauhtémoc (60), and Benito Juárez (54)
Total income eached $18.2B MX and the municipalities with the highest income were Miguel Hidalgo ($3.54B MX), Cuauhtémoc ($3.34B MX), and Juárez ($2.42B MX).
Total expenditures were $8.32B MX and the municipalities with the highest expenditures were Miguel Hidalgo ($1.89B MX), Cuauhtémoc ($1.64B MX), and Guadalajara ($1.31B MX).
On the other hand, in 2014 there were 30213 employees dependent on economic units and the municipalities with the highest number of employees were Juárez (12.1k), Cuauhtémoc (4.58k), and Miguel Hidalgo (4.51k).
* 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.
The visualization shows the number of economic units in Data Processing, Hosting, and Related Services according to the number of employees.
According to DENUE data published in May 2024, 0 companies with 0 to 10 employees were registered (equal number of companies as the previous period). In the same period, 0 companies with 11 to 50 employees were registered (equal number of companies as the previous period).
0 companies with 51 to 100 employees were registered in 2024 (equal number of companies as the previous period). Likewise, 0 companies with more than 101 employees were registered (equal number of companies as the previous period).
In the period January to June 2024, FDI from Data Processing, Hosting, and Related Services was Confidential, distributed in reinvestment of earnings (Confidential), equity Capital (US$0), and inter-company debts (Confidential).
Since January 1999 to June 2024, the accumulated amount of FDI in Data Processing, Hosting, and Related Services was US$266M, distributed in equity Capital (US$356M), reinvestment of earnings (US$798k), and inter-company debts (-US$91.2M).
* Confidential data is not shown in the chart (see information icon in the section).
Period Jan-1999 to Jun-2024: US$232M, Mexico City is the main receiving state
No FDI is recorded in the period January to June, 2024
Historically (from January 1999 to June2024) the states that have received the highest FDI are Mexico City (US$232M), Querétaro (US$15.1M), and Jalisco (US$12.5M).
* Information download does not contain confidential data.
The states with the highest degree of development opportunity in Data Processing, Hosting, and Related Services according to Relatedness were Coahuila de Zaragoza (0.71), Colima (0.66), and San Luis Potosí (0.57). 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).
According to data from the Economic Census 2019, the distribution of economic units according to size that had access to financing was 22.3% units with up to 10 people, 41% units with 11 to 50 people, 44.4% units with 51 to 250 people, and 29.4% units with 251 and more people.
According to the age of the economic units, the distribution of those that obtained financing was 18.2% of the recently created (up to 2 years) units, 4.76% of the youth (3 to 5 years) units, 51.8% of the adults (6 to 10 years) units, and 26.4% of the seniors (over 10 years) units.
The states with the highest percentage of economic units that received financing were Guerrero (100%), Veracruz de Ignacio de la Llave (88.2%), Michoacán de Ocampo (66.7%), Tabasco (55.6%), and Colima (50%).
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 68.8% units with up to 10 people, 76.9% units with 11 to 50 people, 70.4% units with 51 to 250 people, and 88.2% units with 251 and more people.
The states with the highest percentage of economic units that had a bank account were Baja California Sur (100%), Colima (100%), Morelos (100%), Oaxaca (100%), and Quintana Roo (100%).
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 Data Processing, Hosting, and Related Services subsector 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 Aguascalientes (100%), Baja California Sur (100%), Campeche (100%), Colima (100%), and Chiapas (100%).
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 Data Processing, Hosting, and Related Services subsector had 92% of economic units that had internet services and 92.7% 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 11 to 50 people that use the internet in business management (98.6%) 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 (98.7%) 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 $2.7B MX and purchases were $558M MX. On the other hand, sales made in monetary transactions were $13.1B MX and purchases reached $5.01B 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 Data Processing, Hosting, and Related Services with up to 10 workers are another problems (36.7%), high taxes (16.2%), public insecurity (13.8%), and low demand for goods or services (6.84%).
According to data from the Economic Census 2019, the distribution of economic units that had an accounting system was 89.3% units with up to 10 people, 97.4% units with 11 to 50 people, 98.2% units with 51 to 250 people, and 94.1% units with 251 and more people.
The states with the highest percentage of economic units that had an accounting system were Aguascalientes (100%), Baja California Sur (100%), Campeche (100%), Coahuila de Zaragoza (100%), and Colima (100%).
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%) in companies with up to 10 people, internally developed accounting system (36.8%) in companies with 11 to 50 people, internally developed accounting system (49.1%) in companies with 51 to 250 people, and internally developed accounting system (68.8%) in companies with 251 and more people.
The visualization shows the percentage distribution of the economic units in the Data Processing, Hosting, and Related Services subsector 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 ($6.16B MX),Chihuahua ($1.53B MX),Nuevo León ($1.44B MX),Veracruz de Ignacio de la Llave ($636M MX),Estado de México ($399M 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 visualizations shows the percentage distribution of the large economic units of the private and parastatal sector of Data Processing, Hosting, and Related Services 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 (100%), Yucatán (50%), Chihuahua (33.3%), Ciudad de México (31.8%), and Jalisco (28.6%).
According to data from the Economic Census 2019, 16.3% of the large economic units of the private and parastatal sector of Data Processing, Hosting, and Related Services had innovation activities in 2018.
Of the total staff employed in large economic units, 4.35% was employed in product innovation activities, 1.58% in process innovation, 0.57% in market innovation, 1.81% in organizational innovation, and 1.07% in innovation for technological adaptation and documentation.
The visualization shows the distribution of large economic units of the private and parastatal sector of Data Processing, Hosting, and Related Services 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 Data Processing, Hosting, and Related Services Subsector had 28 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 3 economic units for research and technological development in Nanotechnology.
In the same year, 3 economic units had qualified personnel in the registration or processing of patents for brands, products or processes, and 3 economic units had this type of staff to contracts or acquisition of patents for brands, products or processes.