ProceduresGovernment

Accommodation and Food Services

Sector (72)

 2024-Q2: $778B MX, Gross Domestic Product

DENUE N/A: 703,063, Economic units

Jan-Jun 2024: US$329M, Foreign Direct Investment

In the second quarter of 2024 the gross domestic product was $778B MX, 2.32% more than the previous quarter.

According DENUE N/A, Accommodation and Food Services registered 703,063 economic units. The states with the highest number of economic units were Estado de México (78,113), Ciudad de México (59,904), and Veracruz de Ignacio de la Llave (48,754).

Economic activities are related if they require similar knowledge or inputs. In 2014 in Accommodation and Food Services the states with the highest affinity were Baja California Sur (0.9), Sinaloa (0.9), Sonora (0.84), Chihuahua (0.84), and San Luis Potosí (0.82).

During the second quarter of 2024 in Accommodation and Food Services the workforce was N/A people, N/A% men and N/A% women. In addition, the average monthly salary informed was N/A.

During the same period, occupations with the highest number of workers in Accommodation and Food Services were Waiters, Security Guards Establishments, and Cantineros.

Gross Domestic Product

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Gross domestic product 2024-Q2: $778B MX

Gross Domestic Product 2023: $754B MX

In the second quarter of 2024, Accommodation and Food Services recorded a gross domestic product of $778B MX, evidencing an increase of 2.32% compared to the previous quarter and an increase of 2.59% 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,  637,124 economic units were totaled in Accommodation and Food Services, highlighting Estado de México (71,069), Ciudad de México (56,050), and Jalisco (44,452).

* It is recommended to consider the values as approximations of the real value because some records have been anonymized due to confidentiality principles.

Economic Units

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The visualization shows the number of economic units in Accommodation and Food Services according to the number of employees.

According to DENUE data published in N/A, N/A companies with 0 to 10 employees were registered (equal number of companies as the previous period). In the same period, N/A companies with 11 to 50 employees were registered (equal number of companies as the previous period).

N/A companies with 51 to 100 employees were registered in N/A (equal number of companies as the previous period). Likewise, N/A 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$329M, FDI Jan-Jun 2024
  • US$28.4B, FDI Jan-1999 to Jun-2024

In the period January to June 2024, FDI from Accommodation and Food Services was US$329M, distributed in equity Capital (US$325M), reinvestment of earnings (US$25.8M), and inter-company debts (-US$21.3M).

Since January 1999 to June 2024, the accumulated amount of FDI in Accommodation and Food Services was US$28.4B, distributed in equity Capital (US$24.8B), reinvestment of earnings (US$1.91B), and inter-company debts (US$1.65B).

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

Foreign Direct Investment (FDI) by State

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Period Jan-Jun 2024: US$0

Period Jan-1999 to Jun-2024: US$9.06B, Baja California Sur 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 Baja California Sur (US$9.06B), Quintana Roo (US$6.29B), and Nayarit (US$2.49B).

* Information download does not contain confidential data.

Foreign Direct Investment (FDI) Origin

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Periodo Jan-Jun 2024: ---, US$0

Main investing country between Jan-1999 and Jun-2024: United States, US$17.4B

No FDI is recorded in the period January to June of 2024.

Historically (from January 1999 to June de 2024) the countries that contributed the most to FDI were United States (US$206M), Spain (US$45.9M), and Canada (US$33.5M).

* Information download does not contain confidential data.

Specialization and Opportunity

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As of May 2021, the states with the highest degree of specialization in Accommodation and Food Services were Nayarit (1.51), Colima (1.34), and Quintana Roo (1.33). 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 Accommodation and Food Services according to Relatedness were Sinaloa (0.9), Sonora (0.84), and Chihuahua (0.84). 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

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Average Age 2024-Q2: N/A

Average Years of Schooling 2024-Q2: N/A

The visualization shows the workforce of Accommodation and Food Services by age group and years of schooling, comparing men and women.

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

Staff According to Age of the Companies

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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 Accommodation and Food Services sector had 2,668,898 people employed, by age range 222,451 people up to 20 years old were registered, 942,568 people from 21 to 30 years old, 753,651 people from 31 to 40 years old and 750,228 people over 40 years old.

By educational level 80,762 people without education were registered, 1,320,497 people with basic education, 951,741 people with upper secondary education and 315,898 people with higher education.

Staff Turnover and Permanence

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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 13.1% in companies with up to 10 people, 27.2% in companies with 11 to 50 people, 39.4% in companies with 51 to 250 people, and 38.3% 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 N/A.

According to the level of instruction, the distribution of trained staff was N/A.

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 N/A.

According to the age of the economic units, the distribution of those that obtained financing was N/A.

The states with the highest percentage of economic units that received financing were N/A.

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 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 (95.5%) stand out in percentage terms.

According to the age of the company, seniors (over 10 years) economic units that use the internet for search information for goods or services (76.4%) 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 N/A and purchases were N/A. On the other hand, sales made in monetary transactions were N/A and purchases reached N/A.

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 Accommodation and Food Services with up to 10 workers are N/A.

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 N/A.

The states with the highest percentage of economic units that had an accounting system were N/A.

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 accounting system developed by third parties (60.1%) in companies with up to 10 people, external accounting system (47.2%) in companies with 11 to 50 people, internally developed accounting system (68.1%) in companies with 51 to 250 people, and internally developed accounting system (77.2%) in companies with 251 and more people.

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, N/A% of the large economic units complied with the environmental standard, N/A% did not know if they complied with any environmental standard, and N/A% 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 Accommodation and Food Services 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 N/A.

Environmental Protection Processes

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According to data from the 2019 Economic Census, N/A% of the large economic units in the Accommodation and Food Services sector separated their waste, highlighting the separation of N/A.

On the other hand, N/A% of the large economic units applied some treatment to the wastewater generated in their activity. The main uses of the treated water were N/A.

Expenditure and Investment in Environmental Protection

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According to data from the Economic Census 2019, N/A% of the large economic units in the Accommodation and Food Services sector made expenditures on environmental protection, highlighting expenditures in N/A.

On the other hand, N/A% of the large economic units made investment in environmental protection. The main investments were in N/A.

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 Accommodation and Food 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 Baja California (8.78%), Querétaro (8.5%), Campeche (8.13%), Chihuahua (7.83%), and Quintana Roo (7.8%).

Innovation Activities in 2018

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According to data from the Economic Census 2019, 4.73% of the large economic units of the private and parastatal sector of Accommodation and Food Services had innovation activities in 2018.

Of the total staff employed in large economic units, 5.24% was employed in product innovation activities, 2.92% in process innovation, 3.16% in market innovation, 3.8% in organizational innovation, and 1.77% in innovation for technological adaptation and documentation.