Commercial entities like Kompass México, Infoempresa, and México Empresarial produced high-value PDF directories for sale. These often included enhanced data such as key executive names, annual revenue estimates, and employee counts.
Comparar el directorio de 2019 con la realidad actual permite calcular el porcentaje de empresas que cerraron durante la crisis económica. Esto es oro puro para consultores financieros y analistas de riesgo. directorio de empresas en mexico pdf 2019
A 2019 directory captures the pre-pandemic business landscape. Commercial entities like Kompass México , Infoempresa ,
| Data source | What it provides | How to access (2019) | |-------------|----------------|----------------------| | INEGI – Directorio Estadístico Nacional de Unidades Económicas (DENUE) | Complete listing of all economic units, size, sector, location | descarga.denue.inegi.org.mx (filter 2019) | | IMSS Business Registry | Formal employment by company size & state | imss.gob.mx/prensa/estadisticas (2019 historical) | | SIEM (Secretaría de Economía) | Number of registered SMEs by municipality | siem.gob.mx (2019 archives) | | SAT – Census of taxpayers | Active RFCs by regime (RIF, PF, PM, etc.) | sat.gob.mx (Estadísticas de recaudación 2019) | If you need assistance locating specific 2019 directories
The Directorio de Empresas en México PDF 2019 remains a valuable resource despite being several years old. Whether obtained from INEGI, SIEM, chambers of commerce, or private publishers, it provides a robust snapshot of Mexico’s pre-pandemic business environment. For professionals needing historical context or baseline data for longitudinal studies, tracking down these PDFs is well worth the effort. Always ensure you access them through legitimate channels and use the information ethically.
If you need assistance locating specific 2019 directories or learning how to query historical business data from Mexican government sources, consult the official websites of INEGI or the Secretaría de Economía for guidance on accessing archived datasets.