Real Estate and Rental and Leasing: Wages, production, investment, opportunities and complexity

In the second quarter of 2024 the gross domestic product was $2.8T MX, 0.95% more than the previous quarter.

According DENUE 2024, Real Estate and Rental and Leasing registered 78,207 economic units. The states with the highest number of economic units were Estado de México (7,717), Jalisco (5,768), and Ciudad de México (4,920).

According to data from the Economic Census 2019, total gross production was $207B MX. The states with the highest total gross production were Ciudad de México ($63.2B MX) and Nuevo León ($21.2B MX).

For its part, total income reached $213B MX in 2019, being the states with the highest income Ciudad de México ($65.7B MX) and Nuevo León ($21.9B MX).

Economic activities are related if they require similar knowledge or inputs. In 2014 in Real Estate and Rental and Leasing the states with the highest affinity were Sinaloa (0.9), Baja California Sur (0.88), Chihuahua (0.86), San Luis Potosí (0.85), and Sonora (0.83).

During the third quarter of 2024 in Real Estate and Rental and Leasing the workforce was N/A people, 76.6% men and 23.4% women. In addition, the average monthly salary informed was N/A.

During the same period, occupations with the highest number of workers in Real Estate and Rental and Leasing were Workers in Renting Movables (Crockery, Movies, Video Games, Etc.), Technical Aids and Audio Engineering, Sound and Lighting, and Sweepers and Janitors (Except Hotels and Restaurants).

At the state level, the occupied population of Real Estate and Rental and Leasing was concentrated in List Estado de México,Jalisco,Puebla.

The average age of workers in Real Estate and Rental and Leasing in the third quarter of 2024 was 37.6 years. In the same period, the average schooling of the workforce of Real Estate and Rental and Leasing, was N/A years.

Employment

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Salaries and Workforce

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Average Monthly Salary 2024-Q3: N/A

Working population 2024-Q3: N/A

In the third quarter of 2024, the workforce in Real Estate and Rental and Leasing it was of N/A people, 76.6% men with a reported average monthly salary of $7.71k MX and 23.4% women with a salary of $7.84k MX.

Of the total employed population, N/A% of the total workforce were formal workers with an average monthly salary of N/A, while he N/A% corresponds to informal workers with an average salary of N/A.

Salaries and Workforce by Occupations and States

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Initial QuarterFinal Quarter

In the third quarter of 2024 the occupations with the highest number of workers were Workers in Renting Movables (Crockery, Movies, Video Games, Etc.), Technical Aids and Audio Engineering, Sound and Lighting, and Sweepers and Janitors (Except Hotels and Restaurants).

At the state level, the workforce of Real Estate and Rental and Leasing was concentrated on Estado de México, Jalisco, and Puebla.

Production

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Production Indicators by State

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According to data from the Economic Census 2019, 68,010 economic units were totaled in Real Estate and Rental and Leasing, highlighting Estado de México (6,680), Ciudad de México (5,679), and Jalisco (5,007).

Total gross production was $207B MX. The states with the highest total gross production were Ciudad de México ($63.2B MX) and Nuevo León ($21.2B MX).

Total income reached $213B MX in 2019, being the states with the highest income Ciudad de México ($65.7B MX) and Nuevo León ($21.9B MX).

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Production Indicators by Municipality

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In 2019, Real Estate and Rental and Leasing had a total of 68,010 economic units and the municipalities with the highest number of economic units were Guadalajara (1.37k), Puebla (1.29k), and Monterrey (1.13k).

Also, $208B MX in total income were registered and the municipalities with the highest income were Miguel Hidalgo ($24.4B MX), Monterrey ($11.3B MX), and Cuauhtémoc ($11.1B MX).

Total expenditure registered in 2019 was $100B MX and the municipalities with the highest expenditure were Miguel Hidalgo ($11B MX), Monterrey ($5.51B MX), and Cuauhtémoc ($5.15B MX).

In 2019 there were 242k employees dependent on economic units and the municipalities with the highest number of employees were Monterrey (9.74k), Miguel Hidalgo (8.15k), and Álvaro Obregón (7.85k).

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Economic Units

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The visualization shows the number of economic units in Real Estate and Rental and Leasing according to the number of employees.

According to DENUE data published in November 2024, 73,674 companies with 0 to 10 employees were registered (5,765 companies more than the previous period). In the same period, 3,972 companies with 11 to 50 employees were registered (339 companies less than the previous period).

344 companies with 51 to 100 employees were registered in 2024 (7 companies less than the previous period). Likewise, 217 companies with more than 101 employees were registered (9 companies more than the previous period).

Source National Statistical Directory of Economic Units (DENUE)

Investment

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Specialization and Opportunity

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As of May 2021, the states with the highest degree of specialization in Real Estate and Rental and Leasing were Baja California Sur (1.86), Quintana Roo (1.57), and Coahuila de Zaragoza (1.55). 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 Real Estate and Rental and Leasing according to Relatedness were Tabasco (0.6), Campeche (0.59), and Ciudad de México (0.48). 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).

Diversity

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Workforce by Schooling Years, Age Range and Gender

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Average Age 2024-Q3: 37.6

Average Years of Schooling 2024-Q3: N/A

The visualization shows the workforce of Real Estate and Rental and Leasing by age group and years of schooling, comparing men and women.

In the third quarter of 2024 in Real Estate and Rental and Leasing the average age for women was 39.2 years and the average schooling was N/A years.

The average age of men in the Real Estate and Rental and Leasing workforce was 37.2 years, while the average schooling was N/A years during third quarter of 2024.

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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 Real Estate and Rental and Leasing sector had 327,129 people employed, by age range 16,428 people up to 20 years old were registered, 92,374 people from 21 to 30 years old, 107,159 people from 31 to 40 years old and 111,168 people over 40 years old.

By educational level 5,434 people without education were registered, 104,643 people with basic education, 120,734 people with upper secondary education and 96,318 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 13.4% in companies with up to 10 people, 19% in companies with 11 to 50 people, 23.5% in companies with 51 to 250 people, and 33.6% in companies with 251 and more people.

Training

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According to data from the Economic Census 2019, the staff distribution who received training according to age range was 17.1% of staff with up to 20 years, 21.3% of staff between 21 and 30 years, 17.5% of staff between 31 and 40 years, and 15.3% of staff with 41 years or more.

According to the level of instruction, the distribution of trained staff was 20.9% of staff without intruction, 18.9% of staff with basic education, 15.2% of staff with upper secondary education, and 19.9% of staff with higher education.

Financing

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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 8.76% units with up to 10 people, 23.4% units with 11 to 50 people, 37.4% units with 51 to 250 people, and 45.8% units with 251 and more people.

According to the age of the economic units, the distribution of those that obtained financing was 11.8% of the recently created (up to 2 years) units, 10.1% of the youth (3 to 5 years) units, 8.48% of the adults (6 to 10 years) units, and 9.74% of the seniors (over 10 years) units.

The states with the highest percentage of economic units that received financing were Quintana Roo (16.1%), Nuevo León (13.9%), Baja California Sur (13.8%), Colima (13.5%), and Campeche (12.8%).

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.

Access to Bank Account and Credit

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According to data from the Economic Census 2019, the distribution of economic units that had a bank account was 28.6% units with up to 10 people, 79.9% units with 11 to 50 people, 93.8% units with 51 to 250 people, and 98.6% units with 251 and more people.

The states with the highest percentage of economic units that had a bank account were Baja California Sur (64.1%), Quintana Roo (63.7%), Nuevo León (53.6%), Ciudad de México (51%), and Baja California (48.9%).

The same information can be viewed for the economic units that had bank credit by changing the option selected in the upper button.

Reasons for not Having Credit or Bank Account

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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.

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 Real Estate and Rental and Leasing 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 Quintana Roo (59.9%), Baja California Sur (55.6%), Nuevo León (46.2%), Ciudad de México (45%), and Baja California (44.4%).

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 Real Estate and Rental and Leasing sector had 29.4% of economic units that had internet services and 33.7% 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 (98.5%) stand out in percentage terms.

According to the age of the company, adults (6 to 10 years) economic units that use the internet for search information for goods or services (84.9%) 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 Real Estate and Rental and Leasing with up to 10 workers are public insecurity (22.4%), another problems (20%), high taxes (13.1%), and high expenses in service payments (8.57%).

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 55.1% units with up to 10 people, 87.7% units with 11 to 50 people, 91.4% units with 51 to 250 people, and 100% units with 251 and more people.

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 (48.8%) in companies with up to 10 people, external accounting system (35.9%) in companies with 11 to 50 people, internally developed accounting system (57.8%) in companies with 51 to 250 people, and internally developed accounting system (73.6%) 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 Real Estate and Rental and Leasing 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 ($63.2B MX),Nuevo León ($21.2B MX),Jalisco ($15.3B MX),Estado de México ($12.4B MX),Quintana Roo ($10.2B 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.

Environment

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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 Real Estate and Rental and Leasing 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 Campeche (11.6%), Estado de México (9.2%), Zacatecas (9.09%), Yucatán (7.89%), and Colima (7.69%).

Innovation Activities in 2018

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According to data from the Economic Census 2019, 4.83% of the large economic units of the private and parastatal sector of Real Estate and Rental and Leasing had innovation activities in 2018.

Of the total staff employed in large economic units, 4.79% was employed in product innovation activities, 3.2% in process innovation, 2.36% in market innovation, 2.28% in organizational innovation, and 1.72% 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 Real Estate and Rental and Leasing 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 Real Estate and Rental and Leasing Sector had 115 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 6 economic units for research and technological development in Nanotechnology.

In the same year, 30 economic units had qualified personnel in the registration or processing of patents for brands, products or processes, and 12 economic units had this type of staff to contracts or acquisition of patents for brands, products or processes.