Data Explorer Knowledge Base

Commodity Price Change Map

The Commodity Price Change Visualization is a map with markets and specified product price change over the selected period in each.

Creating a Commodity Price Change Map

1. Select primary parameters

A Dataset, one or more Data Series, or a combination of product and country/geographic group is required.

Zoomed in dataseries: This option is used to specify Data Series to visualize when zoomed in on the map.

Zoomed out dataseries: This option is used to specify Data Series to visualize when zoomed out on the map.

Select data series: Choose one or more Data Series.

Select dataset: Choose a Dataset. The selected Dataset will be used at the default zoom level (zoomed out) and in static images. If no “Zoom in dataset” is selected in the advanced parameters section, this Dataset will used at higher zoom levels (zoomed in) as well.

Select a product: Select a product. Use the search box to search products by name or CPC code.

Select a country: Select the country name to build a Visualization for a country.

Select a geographic group: Select the FEWS NET country group name to build a Visualization for a region.

Click Generate to view the chart.

2. Select filters

Period date: Change the period of data shown by selecting the last day of the desired month. For example, select 2025-11-01 for November 2025 data. If not selected, the most recent period date will be applied and will update automatically when new data is published.

Select a price type: Filter for a price type, such as retail or wholesale. This only applies if no dataset/data series is selected. If not selected, the most frequent price type will be applied.

Select a product source: Filter by the original source of the product (local, export, or import). This only applies if no dataset/data series is selected. If not selected, the most frequent product source will be applied.

Select a unit of measure: Filter by the unit of measure. This only applies if no Dataset/Data Series is selected. If not selected, the most frequent unit of measure will be applied.

3. Select advanced parameters

Select historic range for percent change: If not selected, this will default to the first option in the list for which there is data. Selecting ‘actual price' will display the actual prices on the selected period date.

Select zoom dataset. Select a dataset that will be used on higher zoom levels (zoomed in). This dataset should contain more Data Series than the main dataset. Mostly useful for the regional maps.

Select a common currency: Common currency to be calculated against. Defaults to USD.

Select a number of buckets: Select the number buckets to split the data values into. If not selected, defaults to a standard for the country.

List of thresholds: This option controls the buckets used for the percent change. List up to 6 upper thresholds as integers separated by commas. E.g. '-10, 9' will result in the following three buckets: <= -10, -9 to 9, >= 10.

Saving the Visualization

After generating the Commodity Price Change Map, you can save it to your account for future reference using the Save Visualization button in the upper right side of the page. Enter a Title and Description in the popup and click Save Visualization.

You can access saved Visualizations from the Saved Visualizations tab.

Interacting with the Commodity Price Change Map

You can interact with the Commodity Price Change Map in the following ways:

  • Click on a point to view details of the historical prices for a market.

  • Use the Zoom buttons to zoom in and out of the map.

  • Click the Full Screen icon to open the map in full screen.

  • Click the Download icon to the right of the Visualization title to access the following options:

    • Download PNG: Downloads the current selection from the timeline as a static image PNG file with FEWS NET and USG logos.

    • Download CSV: Downloads the data used for the Visualization as a CSV file.

  • Click the Copy icon to the right of the Visualization title to copy the Visualization URL. The link can be used to open the data Visualization in a new tab or window, and the parameters can be added or edited directly within the URL.