Geospatial Training Spanish has already disseminated the results of the survey they have applied a few weeks ago, in which an analysis of the sector is made with more than interesting results.
In principle, we congratulate the efforts of Directions Magazine that have been added to the Hispanic sector for a while, which broadens the range of services they provide and adds to the sustainability of the geospatial sector.
Analyzing the results, we can clearly perceive issues that are quite accepted but that only the application of such a formal instrument can ratify with evidence based on primary information. Although we believe that the sample loses to some degree the representativeness not having achieved a high degree of diffusion.
While in the Hispanic middle they are between the 25,000 and 30,000 Euros, in the United States it is in the 55,000 Euros within the respondents that responded from that country. It is clear that there is a slight dirt that is often filtered by asking this question without sufficient explanation, since in Latin American countries little is used the term annual income, generally people multiply their monthly income by 12 or 13 months, which does not it is so true when compared with the United States. The difference lies in the social benefits of medium and long term, in the United States generally do not exist as such and are included in the annual income, while for us are rights that accumulate and that certainly with weakness in the social issue or ambiguity of the law we almost give them as if they did not exist. If we included them, we would report a higher annual income. Also, social benefits differ widely between countries such as Spain, Chile and Mexico, and it is not so easy to define annual income without making these considerations, while in some countries the tax is withheld from taxation, in others it is a declaratory action and lends much to evasion.
The survey applied to the Anglo-Saxon sector indicates that the average walks in 55,000 Dollars (Eye, this is less than 43,000 Euros) and there is a significant distribution between the 30,000 Euros and the 62,000 Euros.
This difference is often more than obvious due to the global imbalance represented by the market. A fast food employee in the United States receives an income similar to or greater than a Forestry Engineer in Latin America. Much more exaggerated is the case of a construction mason where labor is paid with greater amount in the developed countries.
As a result of this, Geospatial Training I suppose will be able to apply prices in its courses to a differentiated value for the Hispanic medium. What we see with good eyes and believe can be applied in the sale of services, although unfortunately it is not possible that this applies to other items such as software and equipment.
About the Software and Programming Languages
I concur with the view of many that piracy is an inevitable result of social inequality between developed and the rest of the world; but I also believe that a high percentage of piracy obeys a professional habit by not investing in low-cost software (which is achievable) and little effort to investigate or learn other ways to solve problems (such as free software) ).
You can clearly see that in the Hispanic market free software has an acceptable level of acceptance and appropriation. Notice that in the Anglo-Saxon medium the distribution of applied software is:
- Esri 66%
- Open Source 10%
- AutoDesk 9%
- Bentley + Mapinfo + Intergraph 9%
In the Hispanic medium, see how the Open Source has won a significant 25% to Esri mainly, because the other systems included are better positioned with respect to Esri
- Esri 38%
- Open Source 25%
- AutoDesk 14%
- Bentley + Mapinfo + Intergraph 15%
Sure this distribution is very different in the case of Software for Engineering where Open Source has very little to offer yet.
It is worth reading the results of the survey as there are other valuable conclusions that each one can apply.
View survey results in English Here
View poll results in English Here
View the analysis done by Geospatial Training Here