Subsector (461)
2024-Q2: $3.43T MX, Gross Domestic Product
DENUE May 2024: 1,079,868, Economic units
Jan-Jun 2024: Confidential, Foreign Direct Investment
2024-Q2 : $4.45k MX, Average Monthly Salary
2024-Q2 : 7.17M, Workforce
2024-Q2 : 58.8%, Female Workforce
2024-Q2: 42.2, Average Age
In the second quarter of 2024 the gross domestic product was $3.43T MX, 6.92% more than the previous quarter.
According DENUE 2024, Retail Trade of Groceries, Food, Beverages, Ice and Tobacco registered 1,079,868 economic units. The states with the highest number of economic units were Estado de México (166,413), Ciudad de México (87,878), and Puebla (76,648).
According to data from the Economic Census 2019, total gross production was $262B MX. The states with the highest total gross production were Estado de México ($30.4B MX) and Ciudad de México ($27.3B MX).
For its part, total income reached $706B MX in 2019, being the states with the highest income Estado de México ($83B MX) and Ciudad de México ($75.7B MX).
Economic activities are related if they require similar knowledge or inputs. In 2014 in Retail Trade of Groceries, Food, Beverages, Ice and Tobacco the states with the highest affinity were Campeche (0.66), Sonora (0.61), Tabasco (0.6), Baja California Sur (0.53), and Oaxaca (0.53).
During the second quarter of 2024 in Retail Trade of Groceries, Food, Beverages, Ice and Tobacco the workforce was 7.17M people, 41.2% men and 58.8% women. In addition, the average monthly salary informed was $4.45k MX.
During the same period, occupations with the highest number of workers in Retail Trade of Groceries, Food, Beverages, Ice and Tobacco were Traders in Stores, Sales Employees, Dispatchers and Dependent on Trade, and Preparers and Street Food Vendors.
At the state level, the occupied population of Retail Trade of Groceries, Food, Beverages, Ice and Tobacco was concentrated in List Estado de México,Jalisco,Veracruz de Ignacio de la Llave.
The average age of workers in Retail Trade of Groceries, Food, Beverages, Ice and Tobacco in the second quarter of 2024 was 42.2 years. In the same period, the average schooling of the workforce of Retail Trade of Groceries, Food, Beverages, Ice and Tobacco, was 9.11 years.
Average Monthly Salary 2024-Q2: $4.45k MX
Working population 2024-Q2: 7.17M
In the second quarter of 2024, the workforce in Retail Trade of Groceries, Food, Beverages, Ice and Tobacco it was of 7.17M people, 41.2% men with a reported average monthly salary of $5.4k MX and 58.8% women with a salary of $3.78k MX.
Of the total employed population, 20.6% of the total workforce were formal workers with an average monthly salary of $6.61k MX, while he 79.4% corresponds to informal workers with an average salary of $3.89k MX.
In the second quarter of 2024 the occupations with the highest number of workers were Traders in Stores, Sales Employees, Dispatchers and Dependent on Trade, and Preparers and Street Food Vendors.
At the state level, the workforce of Retail Trade of Groceries, Food, Beverages, Ice and Tobacco was concentrated on Estado de México, Jalisco, and Veracruz de Ignacio de la Llave.
Gross domestic product 2024-Q2: $3.43T MX
Gross Domestic Product 2023: $3.17T MX
* Data displayed corresponds to the sector Retail Trade since the information at lower levels of disaggregation is not available.
In the second quarter of 2024, Retail Trade recorded a gross domestic product of $3.43T MX, evidencing an increase of 6.92% compared to the previous quarter and an increase of 7.32% compared to the same period of the previous year.
* Current values, at current prices, base year 2013. Excludes taxes on products.
According to data from the Economic Census 2019, 1,004,259 economic units were totaled in Retail Trade of Groceries, Food, Beverages, Ice and Tobacco, highlighting Estado de México (156,980), Ciudad de México (84,019), and Puebla (70,840).
Total gross production was $262B MX. The states with the highest total gross production were Estado de México ($30.4B MX) and Ciudad de México ($27.3B MX).
Total income reached $706B MX in 2019, being the states with the highest income Estado de México ($83B MX) and Ciudad de México ($75.7B 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, Retail Trade of Groceries, Food, Beverages, Ice and Tobacco had a total of 2,855,811 economic units and the municipalities with the highest number of economic units were Iztapalapa (58.4k), Ecatepec de Morelos (50.1k), and Puebla (45.4k)
Total income eached $1.28T MX and the municipalities with the highest income were Iztapalapa ($38.9B MX), Guadalajara ($36.6B MX), and Zapopan ($21.9B MX).
Total expenditures were $988B MX and the municipalities with the highest expenditures were Iztapalapa ($30.1B MX), Guadalajara ($29.1B MX), and Zapopan ($16.5B MX).
On the other hand, in 2014 there were 5183076 employees dependent on economic units and the municipalities with the highest number of employees were Iztapalapa (107k), Guadalajara (92k), and Ecatepec de Morelos (84k).
* 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 Retail Trade of Groceries, Food, Beverages, Ice and Tobacco according to the number of employees.
According to DENUE data published in May 2024, 1,074,785 companies with 0 to 10 employees were registered (11,406 companies more than the previous period). In the same period, 4,549 companies with 11 to 50 employees were registered (16 companies more than the previous period).
331 companies with 51 to 100 employees were registered in 2024 (1 companies less than the previous period). Likewise, 203 companies with more than 101 employees were registered (1 companies less than the previous period).
Source National Statistical Directory of Economic Units (DENUE)
In the period January to June 2024, FDI from Retail Trade of Groceries, Food, Beverages, Ice and Tobacco was Confidential, distributed in equity Capital (Confidential), inter-company debts (US$0), and reinvestment of earnings (US$0).
Since January 1999 to June 2024, the accumulated amount of FDI in Retail Trade of Groceries, Food, Beverages, Ice and Tobacco was US$285M, distributed in equity Capital (US$234M), inter-company debts (US$40.8M), and reinvestment of earnings (US$9.91M).
* Confidential data is not shown in the chart (see information icon in the section).
Period Jan-Jun 2024: US$0
Period Jan-1999 to Jun-2024: US$155M, Quintana Roo 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 Quintana Roo (US$155M), Jalisco (US$42.9M), and Mexico City (US$34.7M).
* Information download does not contain confidential data.
Periodo Jan-Jun 2024: ---, US$0
Main investing country between Jan-1999 and Jun-2024: United States, US$112M
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 Luxembourg (Confidential).
* Information download does not contain confidential data.
As of May 2021, the states with the highest degree of specialization in Retail Trade of Groceries, Food, Beverages, Ice and Tobacco were Chiapas (1.34), Tlaxcala (1.24), and Estado de México (1.22). 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 Retail Trade of Groceries, Food, Beverages, Ice and Tobacco according to Relatedness were Sonora (0.61), Baja California Sur (0.53), and Colima (0.52). 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).
Average Age 2024-Q2: 42.2
Average Years of Schooling 2024-Q2: 9.11
The visualization shows the workforce of Retail Trade of Groceries, Food, Beverages, Ice and Tobacco by age group and years of schooling, comparing men and women.
In the second quarter of 2024 in Retail Trade of Groceries, Food, Beverages, Ice and Tobacco the average age for women was 43.1 years and the average schooling was 8.86 years.
The average age of men in the Retail Trade of Groceries, Food, Beverages, Ice and Tobacco workforce was 41 years, while the average schooling was 9.47 years during second quarter of 2024.
* The visualization omits the range of schooling "Not Specified".
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 Retail Trade of Groceries, Food, Beverages, Ice and Tobacco subsector had 1,899,454 people employed, by age range 121,708 people up to 20 years old were registered, 379,509 people from 21 to 30 years old, 423,579 people from 31 to 40 years old and 974,658 people over 40 years old.
By educational level 80,835 people without education were registered, 1,126,765 people with basic education, 512,286 people with upper secondary education and 179,568 people with higher education.
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 16.5% in companies with up to 10 people, 22.7% in companies with 11 to 50 people, 36.5% in companies with 51 to 250 people, and 43.4% 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 3.55% of staff with up to 20 years, 4.77% of staff between 21 and 30 years, 3.84% of staff between 31 and 40 years, and 1.18% of staff with 41 years or more.
According to the level of instruction, the distribution of trained staff was 1.99% of staff without intruction, 1.76% of staff with basic education, 3.86% of staff with upper secondary education, and 5.01% of staff with higher education.
According to data from the Economic Census 2019, the distribution of economic units according to size that had access to financing was 12.2% units with up to 10 people, 27.9% units with 11 to 50 people, 46.3% units with 51 to 250 people, and 30.8% units with 251 and more people.
According to the age of the economic units, the distribution of those that obtained financing was 15.3% of the recently created (up to 2 years) units, 13.1% of the youth (3 to 5 years) units, 11.9% of the adults (6 to 10 years) units, and 10.6% of the seniors (over 10 years) units.
The states with the highest percentage of economic units that received financing were Baja California Sur (19.9%), Colima (18.6%), Nayarit (18.4%), Guerrero (16.2%), and Campeche (16.1%).
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 6.38% units with up to 10 people, 72.9% units with 11 to 50 people, 91.3% 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 a bank account were Baja California Sur (25.6%), Quintana Roo (20.4%), Sonora (19.4%), Chihuahua (18.9%), and Baja California (17.6%).
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 Retail Trade of Groceries, Food, Beverages, Ice and Tobacco 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 Baja California Sur (19.9%), Quintana Roo (19.8%), Sonora (16%), Chihuahua (15.7%), and Baja California (15.3%).
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 Retail Trade of Groceries, Food, Beverages, Ice and Tobacco subsector had 5.39% of economic units that had internet services and 7.05% 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 251 and more people that use the internet in business management (92%) 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 (79.7%) 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 $13.1B MX and purchases were $19.6B MX. On the other hand, sales made in monetary transactions were $703B MX and purchases reached $503B 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 Retail Trade of Groceries, Food, Beverages, Ice and Tobacco with up to 10 workers are public insecurity (33.7%), high expenses in service payments (11.4%), another problems (10.5%), and high costs of raw materials (10.2%).
According to data from the Economic Census 2019, the distribution of economic units that had an accounting system was 45.1% units with up to 10 people, 93% units with 11 to 50 people, 91.3% 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 Quintana Roo (66.1%), Chihuahua (64%), Baja California Sur (62.3%), Colima (60.7%), and Tamaulipas (60.2%).
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 (58.7%) in companies with up to 10 people, external accounting system (40.8%) in companies with 11 to 50 people, internally developed accounting system (56.1%) in companies with 51 to 250 people, and internally developed accounting system (64%) in companies with 251 and more people.
The visualization shows the percentage distribution of the economic units in the Retail Trade of Groceries, Food, Beverages, Ice and Tobacco 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 Estado de México ($82.6B MX),Ciudad de México ($75.4B MX),Jalisco ($66.5B MX),Nuevo León ($40.9B MX),Veracruz de Ignacio de la Llave ($34.3B 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 Retail Trade of Groceries, Food, Beverages, Ice and Tobacco 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 Chiapas (7.45%), Michoacán de Ocampo (4.44%), Tlaxcala (3.03%), Veracruz de Ignacio de la Llave (2.86%), and Guerrero (2.56%).
According to data from the Economic Census 2019, 1.2% of the large economic units of the private and parastatal sector of Retail Trade of Groceries, Food, Beverages, Ice and Tobacco had innovation activities in 2018.
Of the total staff employed in large economic units, 5.15% was employed in product innovation activities, 4.5% in process innovation, 4.07% in market innovation, 6.03% in organizational innovation, and 4.34% in innovation for technological adaptation and documentation.
The visualization shows the distribution of large economic units of the private and parastatal sector of Retail Trade of Groceries, Food, Beverages, Ice and Tobacco 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 Retail Trade of Groceries, Food, Beverages, Ice and Tobacco Subsector had 149 economic units that had qualified staff in technological research and development activities, 7 economic units had it for research and technological development in the field of Biotechnology and 7 economic units for research and technological development in Nanotechnology.
In the same year, 27 economic units had qualified personnel in the registration or processing of patents for brands, products or processes, and 13 economic units had this type of staff to contracts or acquisition of patents for brands, products or processes.