Subsector (624)
2024-Q4: $858B MX, Gross Domestic Product
DENUE November 2024: 34,738, Economic units
Jan-Dec 2024: US$0, Foreign Direct Investment
2024-Q3 : $4.78k MX, Average Monthly Salary
2024-Q3 : 50.2k, Workforce
2024-Q3 : 80.6%, Female Workforce
2024-Q3: 42.7, Average Age
In the fourth quarter of 2024 the gross domestic product was $858B MX, 2.27% less than the previous quarter.
According DENUE 2024, Social Assistance registered 34,738 economic units. The states with the highest number of economic units were Estado de México (4,130), Ciudad de México (3,084), and Veracruz de Ignacio de la Llave (2,083).
According to data from the Economic Census 2019, total gross production was $9.75B MX. The states with the highest total gross production were Ciudad de México ($1.1B MX) and Jalisco ($780M MX).
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 third quarter of 2024 in Social Assistance the workforce was 50.2k people, 19.4% men and 80.6% women. In addition, the average monthly salary informed was $4.78k MX.
During the same period, occupations with the highest number of workers in Social Assistance were Auxiliary Social Scientists and Humanists, Instructors and Trainers in Trades and for Work, and Psychologists.
At the state level, the occupied population of Social Assistance was concentrated in List Sonora,Nuevo León,Estado de México.
The average age of workers in Social Assistance in the third quarter of 2024 was 42.7 years. In the same period, the average schooling of the workforce of Social Assistance, was 13.8 years.
Average Monthly Salary 2024-Q3: $4.78k MX
Working population 2024-Q3: 50.2k
In the third quarter of 2024, the workforce in Social Assistance it was of 50.2k people, 19.4% men with a reported average monthly salary of $5.23k MX and 80.6% women with a salary of $4.67k MX.
Of the total employed population, 48.6% of the total workforce were formal workers with an average monthly salary of $5.28k MX, while he 51.4% corresponds to informal workers with an average salary of $4.3k MX.
In the third quarter of 2024 the occupations with the highest number of workers were Auxiliary Social Scientists and Humanists, Instructors and Trainers in Trades and for Work, and Psychologists.
At the state level, the workforce of Social Assistance was concentrated on Sonora, Nuevo León, and Estado de México.
Gross domestic product 2024-Q4: $858B MX
Gross Domestic Product 2024: $857B MX
* Data displayed corresponds to the sector Health Care and Social Assistance since the information at lower levels of disaggregation is not available.
In the fourth quarter of 2024, Health Care and Social Assistance recorded a gross domestic product of $858B MX, evidencing a drop of 2.27% compared to the previous quarter and an increase of 10.2% 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, 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 gross production was $9.75B MX. The states with the highest total gross production were Ciudad de México ($1.1B MX) and Jalisco ($780M MX).
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).
* 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, 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).
* 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 Social Assistance according to the number of employees.
According to DENUE data published in November 2024, 27,846 companies with 0 to 10 employees were registered (2,363 companies less than the previous period). In the same period, 6,202 companies with 11 to 50 employees were registered (507 companies less than the previous period).
589 companies with 51 to 100 employees were registered in 2024 (214 companies more than the previous period). Likewise, 101 companies with more than 101 employees were registered (75 companies more than the previous period).
Source National Statistical Directory of Economic Units (DENUE)
In the period january to december 2024, no FDI was registered in Social Assistance.
Since January 1999 to December 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).
* Confidential data is not shown in the chart (see information icon in the section).
Period Jan-Dec 2024: Confidential, Mexico City is the main receiving state
Period Jan-1999 to Dec-2024: Confidential, Nuevo León is the main receiving state
From January to December 2024, the states that received the highest FDI for Social Assistance were Mexico City (Confidential).
Historically (from January 1999 to December2024) the states that have received the highest FDI are Nuevo León (Confidential), Baja California Sur (Confidential), and Mexico City (US$56.1k).
* Information download does not contain confidential data.
Main investing country between Jan-Dec 2024: Chile, Confidential
Main investing country between Jan-1999 and Dec-2024: Canada, US$439k
During January to December de 2024, the main countries of origin of FDI for Social Assistance were Chile (Confidential).
Historically (from January 1999 to December de 2024) the countries that contributed the most to FDI were Chile (Confidential).
* Information download does not contain confidential data.
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).
Average Age 2024-Q3: 42.7
Average Years of Schooling 2024-Q3: 13.8
The visualization shows the workforce of Social Assistance by age group and years of schooling, comparing men and women.
In the third quarter of 2024 in Social Assistance the average age for women was 43.4 years and the average schooling was 14.3 years.
The average age of men in the Social Assistance workforce was 39.6 years, while the average schooling was 12 years during third 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 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.
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 20% in companies with up to 10 people, 24.9% in companies with 11 to 50 people, and 30% in companies with 51 to 250 people.
According to data from the Economic Census 2019, the staff distribution who received training according to age range was 25% of staff with up to 20 years, 28.3% of staff between 21 and 30 years, 16.4% of staff between 31 and 40 years, and 8.56% of staff with 41 years or more.
According to the level of instruction, the distribution of trained staff was 2.06% of staff without intruction, 7.47% of staff with basic education, 23.4% of staff with upper secondary education, and 22.9% 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 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%).
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 14.6% units with up to 10 people, 29.8% units with 11 to 50 people, and 94.5% units with 51 to 250 people.
The states with the highest percentage of economic units that had a bank account were Nuevo León (39.3%), Tamaulipas (32.3%), Querétaro (31.9%), Baja California Sur (29.8%), and Baja California (27.1%).
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 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%).
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.
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 51 to 250 people that use the internet in business management (84.9%) stand out in percentage terms.
According to the age of the company, youth (3 to 5 years) economic units that use the internet for search information for goods or services (85%) 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 $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.
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 another problems (31.8%), public insecurity (23.2%), high expenses in service payments (16.1%), and low demand for goods or services (6.81%).
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 Querétaro (59.4%), Chihuahua (57.2%), Nuevo León (56.2%), Baja California (54.4%), and Baja California Sur (53.7%).
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.
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.
The visualizations shows the percentage distribution of the large economic units of the private and parastatal sector of Social Assistance 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 Sur (66.7%), Durango (50%), Hidalgo (33.3%), Sinaloa (26.7%), and Puebla (25%).
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.
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.