A short guide to Peruvian macro data
Interested in activity, prices, monetary, fiscal, external sector, and financial data for Peru? There are loads of datasets, see for example this Repository which has official statistics from INEI and BCRP. However, this short guide will help you find the our "must-see" datasets.
Peru Country Profile Dashboard
The starting point is our Peru Macro Dashboard, a fully automatized Dashboard presenting up-to-date data. You can catch a glimpse and get a broad idea of the latest developments. It contains five sections: Activity, Prices, Money and Banking, Fiscal, External Sector, and Financial.
The Charts are fully integrated with our datasets, so if you want to replicate any of them, you can download the source Dataset, or just click the button “Clone Chart” to reproduce the Chart inside our Platform.
The main sources for the data used on this Dashboard come from the Central Bank of Peru (BCRP), the National Institute of Statistics and Information (INEI), and Peru's Ministry of Economy and Finances (MEF). The data is fully integrated with our database which means once the sources release the data, our database will be instantaneously updated on our platform.
To track the economic activity of the Peruvian Economy, you can monitor the evolution of GDP, Industrial Production, Employment and Wages.
Quarterly Gross Domestic Product
Monthly Gross Domestic Product
This is just a small sample of all the datasets we make available to our users, but there is more information that we know you will find useful such as mining production. Moreover, data is pre-processed within the platform so that you don't have to spend time doing transformations such as Seasonal Adjustment, currency change, % of GDP, Year to Date, Cumulative sums, etc.
For prices and inflation, you can track the main inflation metrics for Perú, such as the Core and Headline Inflation, and its groups in this Dataset. Also, if you click here you can access BCRP's Market Expectations Survey with official figures for inflation expectations. In addition to having dynamic charts, an advantage of creating the charts in Alphacast is the ability to see the variations in relative terms. By clicking on "relative change" you can see the relative variations with respect to a base period, which you can modify from the timeline.
Money and Banking
Money and banking data tracks the main Interest rates of the Peruvian Economy. If you are curious about the Bank Interest Rates check it out this dataset. Other relevant information is:
The Fiscal data tracks the evolution of the Fiscal Accounts of Peru and the Debt over the GDP path. For example, to keep track of fiscal activity, measuring the cumulative of the last 12 months as a percentage of GDP is useful. With Alphacast this procedure is already done! Check it out this Dataset and explore all information. You can also find non-financial public sector debt data in this dataset and create charts from them like the one below.
In the External Sector Section you can track variables such as Trade Balance, Exchanges Rates and Balance of Payments:
From the published data you will be able to combine, transform and create your own variables or indicators as well. For example, one user calculated international reserves as a percentage of GDP. Click it here.
Finally, regarding Financial Data we offer to our users plenty of information about the Peru's Risk Premium, Stock Market, Government Bonds, and Equity
Beyond Peru, we have a comprehensive dataset covering the Risk Premium for multiple countries.
Besides that, you can also access all Yahoo Finance data directly from here, using Alphacast pipelines. The following graphs were created based on this information. The graph on the left shows the variation of the Latam Equity ETF in USD compared to December 29, 2021, while the graph on the right reflects the cumulative yield bonds.
If you want to further explore Peru's Data you can click here and filter the categories you are interested in. Also, you can find datasets that compile information of several countries, such as OECD, BIS or IMF