New presentation for HFI data

High-Frequency Indicators (HFI) have become increasingly popular in the past years. Over the past months, we’ve been looking at various ways to highlight what types of HFI data are available on a country level, making it easier to work with them, and ultimately providing a faster time to market.

Starting today, when using the Country & Region view, our users will have a direct access to all HFI variables on a country level, through a dedicated tree under each Region.

We used the broadest definition of ‘High-Frequency’, so that any variable with a frequency higher than monthly is included in this dedicated tree – excluding financial markets data variables belonging to Equity Markets or Interest & Exchange Rates.

‍United States

For the United States, we’ve just added apartments rental prices on a state level. Data is sourced form Apartment List and starts in 2017.

In the chart below, we looked at the price changes since January 2020. A strong disparity between states started to appear in the fall of 2020 – but with the re-opening of the economy in the spring of 2021 the trend is now up across all states, excluding North Dakota. In average apartments rents have increased by 13% since January 2020 in the US.

World

A new index is now available, describing the global real economic activity in industrial commodity markets. The index has been built by the Federal Reserve Bank of Dallas and is updated monthly. More information on the methodology can be found here

In the chart below, we compared the index with the CPB World Trade Index, to highlight the purpose of the index as proxy for global real activity.

Thailand

For Thailand, we’ve added Motor Vehicles Sales breakdowns per car brand.

In the chart below, we displayed the top 15 brands – in terms of Sales since the beginning of the year – together with their corresponding growth pace compared to current year.

Asian carmakers are dominating the Top 5 – but it is worth noting the fall of Nissan with 30% less sales so far this year than for the same period last year.