Health Care and Social Assistance
Sector (62)
2024-Q2: $888B MX, Gross Domestic Product
DENUE May 2024: 235,222, Economic units
Jan-Jun 2024: Confidential, Foreign Direct Investment
2024-Q2 : 65.4%, Female Workforce
2024-Q2: 40, Average Age
In the second quarter of 2024 the gross domestic product was $888B MX, 7.58% more than the previous quarter.
According DENUE 2024, Health Care and Social Assistance registered 235,222 economic units. The states with the highest number of economic units were Estado de México (24,945), Ciudad de México (23,068), and Jalisco (16,154).
According to data from the Economic Census 2019, total gross production was $185B MX. The states with the highest total gross production were Ciudad de México ($43.4B MX) and Jalisco ($16.6B MX).
For its part, total income reached $200B MX in 2019, being the states with the highest income Ciudad de México ($44.4B MX) and Jalisco ($19.6B MX).
Economic activities are related if they require similar knowledge or inputs. In 2014 in Health Care and Social Assistance the states with the highest affinity were Sinaloa (0.9), Baja California Sur (0.87), Chihuahua (0.87), San Luis Potosí (0.84), and Sonora (0.83).
During the second quarter of 2024 in Health Care and Social Assistance the workforce was N/A people, 34.6% men and 65.4% women. In addition, the average monthly salary informed was N/A.
During the same period, occupations with the highest number of workers in Health Care and Social Assistance were General and Family Practitioners, Specialist Doctors, and Nursing Assistants and Paramedics.
At the state level, the occupied population of Health Care and Social Assistance was concentrated in List Estado de México,Ciudad de México,Jalisco.
The average age of workers in Health Care and Social Assistance in the second quarter of 2024 was 40 years. In the same period, the average schooling of the workforce of Health Care and Social Assistance, was N/A years.
Production
#permalink to sectionGross Domestic Product
#permalink to sectionGross domestic product 2024-Q2: $888B MX
Gross Domestic Product 2023: $790B MX
In the second quarter of 2024, Health Care and Social Assistance recorded a gross domestic product of $888B MX, evidencing an increase of 7.58% compared to the previous quarter and an increase of 10.1% compared to the same period of the previous year.
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Production Indicators by State
#permalink to sectionAccording to data from the Economic Census 2019, 196,089 economic units were totaled in Health Care and Social Assistance, highlighting Estado de México (20,897), Ciudad de México (20,142), and Jalisco (14,025).
Total gross production was $185B MX. The states with the highest total gross production were Ciudad de México ($43.4B MX) and Jalisco ($16.6B MX).
Total income reached $200B MX in 2019, being the states with the highest income Ciudad de México ($44.4B MX) and Jalisco ($19.6B MX).
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Production Indicators by Municipality
#permalink to sectionIn 2019, Health Care and Social Assistance had a total of 196,089 economic units and the municipalities with the highest number of economic units were Guadalajara (4.79k), Puebla (4.04k), and Monterrey (3.56k).
Also, $199B MX in total income were registered and the municipalities with the highest income were Monterrey ($10.9B MX), Cuauhtémoc ($9.63B MX), and Guadalajara ($8.35B MX).
Total expenditure registered in 2019 was $104B MX and the municipalities with the highest expenditure were Cuauhtémoc ($5.7B MX), Monterrey ($5.13B MX), and Guadalajara ($4.83B MX).
In 2019 there were 664k employees dependent on economic units and the municipalities with the highest number of employees were Monterrey (20.4k), Guadalajara (20.2k), and Tijuana (14.6k).
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Economic Units
#permalink to sectionThe visualization shows the number of economic units in Health Care and Social Assistance according to the number of employees.
According to DENUE data published in May 2024, 215,354 companies with 0 to 10 employees were registered (70 companies more than the previous period). In the same period, 16,376 companies with 11 to 50 employees were registered (7 companies more than the previous period).
1,543 companies with 51 to 100 employees were registered in 2024 (4 companies less than the previous period). Likewise, 1,949 companies with more than 101 employees were registered (2 companies less than the previous period).
Source National Statistical Directory of Economic Units (DENUE)
Investment
#permalink to sectionForeign Direct Investment (FDI)
#permalink to section- Confidential, FDI Jan-Jun 2024
- US$267M, FDI Jan-1999 to Jun-2024
In the period January to June 2024, FDI from Health Care and Social Assistance 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 Health Care and Social Assistance was US$267M, distributed in equity Capital (US$236M), reinvestment of earnings (US$23.1M), and inter-company debts (US$7.73M).
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Foreign Direct Investment (FDI) by State
#permalink to sectionPeriod Jan-Jun 2024: US$0
Period Jan-1999 to Jun-2024: US$129M, Mexico City 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 Mexico City (US$129M), Chihuahua (US$44.4M), and Estado de México (US$38.8M).
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Foreign Direct Investment (FDI) Origin
#permalink to sectionPeriodo Jan-Jun 2024: ---, US$0
Main investing country between Jan-1999 and Jun-2024: United States, US$122M
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 Colombia (Confidential).
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Specialization and Opportunity
#permalink to sectionAs of May 2021, the states with the highest degree of specialization in Health Care and Social Assistance were Baja California (1.5), Sinaloa (1.29), and Aguascalientes (1.26). 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 Health Care and Social Assistance according to Relatedness were Quintana Roo (0.78), Tabasco (0.59), and Campeche (0.58). 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).
Health
#permalink to sectionHealth Resources
#permalink to sectionThe map shows the number of Health Centers in Mexico's states.
You can view this distribution per 1,000 inhabitants in different years by changing the options selected in the buttons above.
Health Resources by Subcategory
#permalink to sectionThe treemap shows the distribution of health centers according to specialties in Mexico.
You can click on any box in the chart to view the distribution of the selected specialty by units type in the donut chart. Or select a unit type in the donut chart to modify the treemap data.
Diversity
#permalink to sectionWorkforce by Schooling Years, Age Range and Gender
#permalink to sectionAverage Age 2024-Q2: 40
Average Years of Schooling 2024-Q2: N/A
The visualization shows the workforce of Health Care and Social Assistance by age group and years of schooling, comparing men and women.
In the second quarter of 2024 in Health Care and Social Assistance the average age for women was 39.2 years and the average schooling was N/A years.
The average age of men in the Health Care and Social Assistance workforce was 41.5 years, while the average schooling was N/A years during second quarter of 2024.
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Staff According to Age of the Companies
#permalink to sectionThe 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 Health Care and Social Assistance sector had N/A people employed, by age range N/A people up to 20 years old were registered, N/A people from 21 to 30 years old, N/A people from 31 to 40 years old and N/A people over 40 years old.
By educational level N/A people without education were registered, N/A people with basic education, N/A people with upper secondary education and N/A people with higher education.
Staff Turnover and Permanence
#permalink to sectionThe 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.
Training
#permalink to sectionAccording to data from the Economic Census 2019, the staff distribution who received training according to age range was 33.4% of staff with up to 20 years, 30.3% of staff between 21 and 30 years, 24.2% of staff between 31 and 40 years, and 16.6% of staff with 41 years or more.
According to the level of instruction, the distribution of trained staff was 13.3% of staff without intruction, 20.2% of staff with basic education, 30.7% of staff with upper secondary education, and 20.3% of staff with higher education.
Financing
#permalink to sectionAccess to Financing
#permalink to sectionAccording 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, 11.5% units with 11 to 50 people, 31.5% units with 51 to 250 people, and 27.5% units with 251 and more people.
According to the age of the economic units, the distribution of those that obtained financing was 13.9% of the recently created (up to 2 years) units, 9.63% of the youth (3 to 5 years) units, 8% of the adults (6 to 10 years) units, and 6.96% of the seniors (over 10 years) units.
The states with the highest percentage of economic units that received financing were N/A.
Sources and Uses of Financing
#permalink to sectionThe 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
#permalink to sectionAccording to data from the Economic Census 2019, the distribution of economic units that had a bank account was N/A.
The states with the highest percentage of economic units that had a bank account were Baja California Sur (56.8%), Chihuahua (53.6%), Nuevo León (53.1%), Sonora (51.8%), and Querétaro (51.6%).
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
#permalink to sectionThe 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
#permalink to sectionBusiness Management
#permalink to sectionInternet Purchases and Sales
#permalink to sectionThe 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 $14B MX and purchases were $13.5B MX. On the other hand, sales made in monetary transactions were $185B MX and purchases reached $102B MX.
Problems faced by economic units
#permalink to sectionThe 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 Health Care and Social Assistance with up to 10 workers are public insecurity (24.5%), another problems (22.5%), high expenses in service payments (10.9%), and high taxes (10.4%).
Accounting System
#permalink to sectionAccording 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
#permalink to sectionThe chart shows the percentage of companies by size that used different mechanisms to control expenses and income in their operations.
Monetary Transactions
#permalink to sectionThe visualization shows the percentage distribution of the economic units in the Health Care and Social Assistance 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 N/A.
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
#permalink to sectionEnvironmental Standard
#permalink to sectionThe 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
#permalink to sectionThe visualization shows the percentage distribution of economic units in the private and parastatal sectors of Health Care and Social Assistance 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 Baja California (28.1%), Tamaulipas (21.5%), Chihuahua (9.57%), Michoacán de Ocampo (8.25%), and Colima (7.89%).
Environmental Protection Processes
#permalink to sectionAccording to data from the 2019 Economic Census, 77.5% of the large economic units in the Health Care and Social Assistance sector separated their waste, highlighting the separation of paper (77.6%), organic waste (71.8%), and plastic (68.8%).
On the other hand, 3.72% of the large economic units applied some treatment to the wastewater generated in their activity. The main uses of the treated water were discharge to the public network (1.8%), gardening and cleaning (1.72%), and same production process (0.21%).
Expenditure and Investment in Environmental Protection
#permalink to sectionAccording to data from the Economic Census 2019, 4.27% of the large economic units in the Health Care and Social Assistance sector made expenditures on environmental protection, highlighting expenditures in decrease energy consumption ($48.3M MX), non-hazardous waste management ($11.8M MX), and hazardous waste management ($7.99M MX).
On the other hand, 0.83% of the large economic units made investment in environmental protection. The main investments were in sewage treatment ($4.64M MX), decrease water consumption ($2.04M MX), and decrease energy consumption ($1.28M MX).
Science, Innovation and Technology
#permalink to sectionInnovation Activities in 2018
#permalink to sectionAccording to data from the Economic Census 2019, 18.4% of the large economic units of the private and parastatal sector of Health Care and Social Assistance had innovation activities in 2018.
Of the total staff employed in large economic units, 8.75% was employed in product innovation activities, 2.52% in process innovation, 1.27% in market innovation, 2.39% in organizational innovation, and 1.43% in innovation for technological adaptation and documentation.