Domestic Workers
Subgroup (961) - 2024-Q3
- 1.94M, Workforce
- $4.22k MX, Average monthly salary
- 44.8, Average age
- 28.6, Weekly hours worked
- 4.08, Weekly days worked
Subgroup (961) - 2024-Q3
The workforce of Domestic Workers during third quarter of 2024 was 1.94M people, whose salary averaged $4.22k MX working around 28.6 hours per week.
The best average salaries received by Domestic Workers were in N/A while the workforce was larger in Estado de México (318k), Ciudad de México (174k), and Veracruz de Ignacio de la Llave (161k).
At third quarter of 2024, the people who worked as Domestic Workers were 1.94M being a 1.85% lower than the second quarter of 2024. (1.98M).
In the same period, an average salary of $4.22k MX was observed, registering an increase of 0.75%, compared to the second quarter of 2024 ($4.19k MX).
The states with the highest number of Domestic Workers during the third quarter of 2024 were Estado de México (318k), Ciudad de México (174k), and Veracruz de Ignacio de la Llave (161k)
Comparing the first quarter of 2021 and the third quarter of 2024, the main positive variations occurred in Guerrero and Veracruz de Ignacio de la Llave with an increase of 10.4k (21.5%) and 8.62k (5.67%), respectively. On the other hand, the negative variations were accentuated in Michoacán de Ocampo and Puebla with a decrease of 17.6k (22.9%) and 10.5k (8.48%), respectively.
Average Age 2024-Q3
At third quarter of 2024, the male workforce in Domestic Workers represented the 2.85% of the employed population and women 97.1%. The male workforce was higher in the age group of 15 to 24 years (12.9k), while the female workforce was higher in the age group of 45 to 54 years (531k).
The highest average salary was $7.2k MX received by men from 35 to 44 years, while the lowest average salary was $2.99k MX received by women from 75 or more years.
* The data regarding salaries have low statistical precision so it should not be used as conclusions.
Average Schooling in Years (2024-Q3)
* The data regarding salaries have low statistical precision so it should not be used as conclusions.