The scatter plot below shows the chilean copper production between the years 1996 and 2015 in kMT Fine Content. It can be seen how the production stays in continuously increase since 1996 and then remains constant between 2004 and 2012. The peak ocurres at the year 2013 and the copper production stays strong at the present. The information has been acquired from the Chilean Copper Commission.
The scatter plot below shows the chilean concentrates and refined copper exports in US$ Millions FOB (Free On Board) values between the years 1996 and 2015. The price increase constantly beetween 1996 and 2007, but in 2009 a big drop in the values ocurres, and the price falls from 36550.2 US$ Millions to 26271.1 US$ Millions and then recovers to 39217.1 US$ Millions. The increase in price ocurres till 2011 and then drops slowly. The information has been acquired from the Chilean Copper Commission.
Big series have not the same values but are similar (source: https://www.cochilco.cl/Paginas/Estadisticas/Bases%20de%20Datos/Exportaciones-Mineras.aspx)
There are differences between the graphs upward and this. The price below is measured as Copper Trade Value (US$). The data has been acquired using the COMTRADE platform. Please read the limitations of the base to explain the differences (https://comtrade.un.org/db/help/uReadMeFirst.aspx).
The reason to use Small Area Estimation (SAE) in this graph is to have a measure close to reality of municipal poverty, this because big estimations fails in establishing good values in small areas like a commune, so for good characterization this methodology is needed (I can extend this explication in the next revision). The highest poverty values are located in the municipalities of Pica and Salamanca with data in the range of 15 to 20 percent.
The dot chart below shows the year of begining of operations in the selected mining projects. The most cases are located between 1975 and the present. The oldest mining projects are operated by CODELCO, LUNDIN and KINROSS.
This graph is related to the workers value represented as a circle in the plot and the municipal indicators of poverty and municipal common fund dependency. The “y” axis is showing the poverty measure and the “x” axis show the Municipal Common Fund (MCF) dependency. The value position is explained by the formula of MCF because poverty only have 10% of the composition and the rest are relative to the redistribution of incomes between municipalities. The data represented correspond to the year 2013.
The percentaje below is the representation of population versus the workers in the mining projects. The highest value is located in Sierra Gorda followed by Pica.
| MUNICIPALITY | PERCENTAJE |
|---|---|
| SIERRA GORDA | 593.27% |
| PICA | 122.24% |
| TIERRA AMARILLA | 61.63% |
| SALAMANCA | 56.21% |
| MARIA ELENA | 54.92% |
| MACHALI | 35.28% |
| DIEGO DE ALMAGRO | 31.72% |
| POZO ALMONTE | 29.39% |
| ANDACOLLO | 17.8% |
| PUCHUNCAVI | 14.55% |
| CALAMA | 13.49% |
| LOS ANDES | 12.69% |
The following graph show the municipal budget in the selected municipalities. Diego de Almagro have the highest value in mining patents followed by María Elena and Sierra Gorda. As the graph shows the value of the MCF and the road taxes are very important in the municipal budget.
The next graphs show the municipal budget as a pie chart. Every graph have their own values and are represented as a percentaje.
The highest dependency in the Municipal Common Fund is achieved by Andacollo and Los Andes followed by Salamanca.
| MUNICIPALITY | DEPENDENCY |
|---|---|
| ANDACOLLO | 58.92% |
| LOS ANDES | 57.34% |
| SALAMANCA | 43.21% |
| DIEGO DE ALMAGRO | 34.31% |
| PUCHUNCAVÍ | 32.61% |
| PICA | 29.19% |
| MARÍA ELENA | 27.68% |
| MACHALÍ | 25.79% |
| POZO ALMONTE | 25.69% |
| TIERRA AMARILLA | 23.5% |
| CALAMA | 21.17% |
| SIERRA GORDA | 19.79% |