ProceduresGovernment

Social Assistance

Subsector (624)

 2025-Q3: $941B MX, Gross Domestic Product

DENUE N/A: 35,580, Economic units

Jan-Sep 2024: Confidential, Foreign Direct Investment

2025-Q1 : $6.71k MX, Average Monthly Salary

2025-Q1 : 42.6k, Workforce

2025-Q1 : 65.9%, Female Workforce

2025-Q1: 40.7, Average Age

In the third quarter of 2025 the gross domestic product was $941B MX, 1.72% more than the previous quarter.

According DENUE N/A, Social Assistance registered 35,580 economic units. The states with the highest number of economic units were Estado de México (4,330), Ciudad de México (3,174), and Veracruz de Ignacio de la Llave (2,126).

For its part, total income reached $10.2B MX in 2019, being the states with the highest income Ciudad de México ($1.14B MX) and Jalisco ($802M MX).

Economic activities are related if they require similar knowledge or inputs. In 2014 in Social Assistance the states with the highest affinity were Sonora (0.81), Chihuahua (0.75), Baja California Sur (0.71), Sinaloa (0.7), and Colima (0.7).

During the first quarter of 2025 in Social Assistance the workforce was 42.6k people, 34.1% men and 65.9% women. In addition, the average monthly salary informed was $6.71k MX.

During the same period, occupations with the highest number of workers in Social Assistance were Childminders, the Disabled and Elderly in Institutions, Auxiliary Social Scientists and Humanists, and Support Workers in Various Administrative Activities.

The average age of workers in Social Assistance in the first quarter of 2025 was 40.7 years. In the same period, the average schooling of the workforce of Social Assistance, was 14.5 years.

Salaries and Workforce

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Average Monthly Salary 2025-Q1: $6.71k MX

Working population 2025-Q1: 42.6k

In the first quarter of 2025, the workforce in Social Assistance it was of 42.6k people, 34.1% men with a reported average monthly salary of $6.94k MX and 65.9% women with a salary of $6.59k MX.

Of the total employed population, 52.1% of the total workforce were formal workers with an average monthly salary of $8.47k MX, while he 47.9% corresponds to informal workers with an average salary of $4.79k MX.

Salaries and Workforce by Occupations and States

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In the first quarter of 2025 the occupations with the highest number of workers were Childminders, the Disabled and Elderly in Institutions, Auxiliary Social Scientists and Humanists, and Support Workers in Various Administrative Activities.

Gross Domestic Product

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Gross domestic product 2025-Q3: $941B MX

Gross Domestic Product 2024: $837B MX

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In the third quarter of 2025, Health Care and Social Assistance recorded a gross domestic product of $941B MX, evidencing an increase of 1.72% compared to the previous quarter and an increase of 10% compared to the same period of the previous year.

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Production Indicators by State

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According to data from the Economic Census 2019,  24,087 economic units were totaled in Social Assistance, highlighting Estado de México (2,557), Ciudad de México (2,023), and Veracruz de Ignacio de la Llave (1,737).

Total income reached $10.2B MX in 2019, being the states with the highest income Ciudad de México ($1.14B MX) and Jalisco ($802M MX).

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Production Indicators by Municipality

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According to dato from Economic Census 2014, Social Assistance had a total of 68,934 economic units and the municipalities with the highest number of economic units were Iztapalapa (1.6k), Guadalajara (1.41k), and Tijuana (1.29k)

Total income eached $30.2B MX and the municipalities with the highest income were Guadalajara ($1.73B MX), Juárez ($949M MX), and Aguascalientes ($817M MX).

Total expenditures were $13.2B MX and the municipalities with the highest expenditures were Guadalajara ($764M MX), Tijuana ($409M MX), and Aguascalientes ($405M MX).

On the other hand, in 2014 there were 421923 employees dependent on economic units and the municipalities with the highest number of employees were Tijuana (11.7k), Guadalajara (10.2k), and León (8.15k).

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Economic Units

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The visualization shows the number of economic units in Social Assistance 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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  • Confidential, FDI Jan-Sep 2024
  • US$604k, FDI Jan-1999 to Sep-2024

In the period January to September 2024, FDI from Social Assistance was Confidential, distributed in inter-company debts (US$0), reinvestment of earnings (US$0), and equity Capital (Confidential).

Since January 1999 to September 2024, the accumulated amount of FDI in Social Assistance was US$604k, distributed in inter-company debts (Confidential), equity Capital (US$169k), and reinvestment of earnings (US$0).

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Foreign Direct Investment (FDI) by State

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Period Jan-Sep 2024: US$0

Period Jan-1999 to Sep-2024: Confidential, Nuevo León is the main receiving state

No FDI is recorded in the period January to September, 2024

Historically (from January 1999 to September2024) the states that have received the highest FDI are Nuevo León (Confidential), Baja California Sur (Confidential), and Mexico City (US$56k).

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Foreign Direct Investment (FDI) Origin

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

Main investing country between Jan-1999 and Sep-2024: Canada, US$439k

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

Historically (from January 1999 to September de 2024) the countries that contributed the most to FDI were United States (Confidential).

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Specialization and Opportunity

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As of May 2021, the states with the highest degree of specialization in Social Assistance were Durango (1.47), Chihuahua (1.47), and Zacatecas (1.4). 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 Social Assistance according to Relatedness were Nuevo León (0.68), Querétaro (0.65), and San Luis Potosí (0.61). 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 2025-Q1: 40.7

Average Years of Schooling 2025-Q1: 14.5

The visualization shows the workforce of Social Assistance by age group and years of schooling, comparing men and women.

In the first quarter of 2025 in Social Assistance the average age for women was 40 years and the average schooling was 14.9 years.

The average age of men in the Social Assistance workforce was 42.2 years, while the average schooling was 13.8 years during first quarter of 2025.

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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 Social Assistance subsector had 182,013 people employed, by age range 7,030 people up to 20 years old were registered, 49,037 people from 21 to 30 years old, 57,997 people from 31 to 40 years old and 67,949 people over 40 years old.

By educational level 4,911 people without education were registered, 64,984 people with basic education, 65,592 people with upper secondary education and 46,526 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 N/A.

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 6.48% units with up to 10 people, 5.84% units with 11 to 50 people, and 20.9% units with 51 to 250 people.

According to the age of the economic units, the distribution of those that obtained financing was 8.12% of the recently created (up to 2 years) units, 7.13% of the youth (3 to 5 years) units, 7.15% of the adults (6 to 10 years) units, and 5.41% of the seniors (over 10 years) units.

The states with the highest percentage of economic units that received financing were Baja California Sur (14.2%), Tamaulipas (13.5%), Tlaxcala (13%), Colima (12.9%), and Nuevo León (11.8%).

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.

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 Social Assistance 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 Querétaro (38.6%), Nuevo León (36.2%), Chihuahua (32.2%), Baja California (29.7%), and Tamaulipas (29.1%).

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 Social Assistance subsector had 18% of economic units that had internet services and 20.4% of economic units that had computer services. The disaggregation by size or age of the units can be analyzed in the visualization.

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 $756M MX and purchases were $303M MX. On the other hand, sales made in monetary transactions were $9.73B MX and purchases reached $3.77B 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 Social Assistance 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 40.8% units with up to 10 people, 49.5% units with 11 to 50 people, and 97.6% units with 51 to 250 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 (64.7%) in companies with up to 10 people, accounting system developed by third parties (59%) in companies with 11 to 50 people, and external accounting system (52.8%) in companies with 51 to 250 people.

Monetary Transactions

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The visualization shows the percentage distribution of the economic units in the Social Assistance 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 ($1.09B MX),Jalisco ($777M MX),Baja California ($705M MX),Sonora ($609M MX),Chihuahua ($564M 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.

Science, Innovation and Technology

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Innovation Activities in 2018

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According to data from the Economic Census 2019, 8.67% of the large economic units of the private and parastatal sector of Social Assistance had innovation activities in 2018.

Of the total staff employed in large economic units, 5.12% was employed in product innovation activities, 3.51% in process innovation, 1.39% in market innovation, 3.73% in organizational innovation, and 3% 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 Social Assistance 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 Social Assistance Subsector had 19 economic units that had qualified staff in technological research and development activities, 3 economic units had it for research and technological development in the field of Biotechnology and 2 economic units for research and technological development in Nanotechnology.

In the same year, 0 economic units had qualified personnel in the registration or processing of patents for brands, products or processes, and 0 economic units had this type of staff to contracts or acquisition of patents for brands, products or processes.