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The Acute Food Insecurity Classifications domain is broken into three two sections:
1.
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Filter
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title | Expand to learn about search and filter |
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You can search by various criteria including:
Data
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Data series: name, description, and metadata
Learn more about search functionality in FDE.
You can filter the available data series using one or more of the following criteria:
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Period: Filters by the collection/reporting period.
Start date: Returns all data series starting on or before this date.
End date: Returns all data series ending on or after this date.
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The Acute Food Insecurity Classifications domain includes the following options for filtering data:
Start date and End date:Filters Data Series by the period dates of all Data Points within the series. All Data Series with at least one Data Point that has a period date inside the date range will be displayed.
Geographic area: Filters by location of the FIC data. This filter aggregates items into
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multi-level lists (e.g.,
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Admin 1 units are aggregated into countries, which are aggregated into regions). Selecting the higher-level item in the list will automatically select all the lower-level items in the list.
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You must select one or more geographic areas before choosing additional filters. |
Scale: Filers by the food security classification scale used, e.g., Integrated Phase Classification (IPC) scale versions 2.0, 3.0 and 3.1
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Scenario:
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2. Data Selection
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Once you have applied your search terms and filters, you will be presented with a list of all available data series that match your criteria. A data series is a collection of related data points from a single data source that are viewable as a single row within a table of data. They represent the change over time of a specific indicator. Data series are presented in table format where each row represents a single data series. The Acute Food Insecurity Classifications domain data selection table includes the following columns:
In addition to selecting data series, you can interact with the data selection table in the following ways:
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3. Data Visualization and Export
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Options within the Acute Food Insecurity Classifications domain allows for aggregation or conversion of the data. The available parameters are:
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title | Expand to learn about the Table visualization |
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There are two scenario options available:
Best Available: Shows the current situation for all periods. Only the most recent near and medium term projections will be included.
All: Shows all scenarios for all periods, including near and medium term projections from past periods.
Data usage policy: Filters by the data usage policy assigned to the Data Series.
2. Data Visualization and Export
Visualize
The Acute Food Insecurity Classifications domain currently includes a Table visualization. The Metadata tab contains descriptions and definitions of the metadata included in the visualizations and export data.
Customize Export
The Acute Food Insecurity Classifications domain includes the following
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options:
dataseries: The internal id for a Data Series.
country: Represents the national, dependent territory, or special area of geographical interest level administrative unit, standardized to ISO 3166 naming.
country_code: The ISO 3166-1 alpha-2 two letter code for a country.
geographic_group: Grouping of countries or regions based on the United Nations Standard Country or Area Codes for Statistical (UN M49) Classifications.
fewsnet_region: Grouping of countries or regions based on the FEWS NET regional Classifications. They are similar to the UN M49 Groups but they use the M49 code values between 900 and 999.
geographic_unit_name: The name of a geographic unit. For example, Kayes, which is a geographic unit found in Mali.
fnid: FEWS NET ID, a unique code used to identify a specific geographic unit.
classification_scale:
scenario_name:
is_allowing_for_assistance:
start_date: The start date of a collection period. For monthly data, this is the first day of the month of the reporting period. For example, data from January 2021 have a start_date of January 1, 2021.
period_date: The last day of the collection period. For monthly data, this is the last day of the month of the reporting period. For example, data from January 2021 have a period date of January 31, 2021.
value: The value of the data point during the reporting period.
description: Any extra information or detail that is relevant to the object. In the case of a source document, it can contain more information about the datasource including the name of document in the native language of the country the source document belongs to.
scenario:
collection_status: The status of a data collection (i.e., Draft, Submitted, Under Review or Published).
dataseries_name: The name of a data series derived from the full set of metadata added at the time of creation.
geographic_unit_full_name: The name of a geographic unit concatenated with the name of the country it belongs to. For example, Kayes, Mali, which is a geographic unit in Mali. For Units without countries, the full name might contain "International" in place of country.
status: The status of a data point value (i.e., Collected, Not Collected, Not Available, Missing Historic Data, Calculated, and Interpolated) for a specific collection period.
id: Unique identifier assigned by the system.
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title | Expand to learn about data export |
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The Export tab includes the following options:
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File format: Choose from one of the available file formats. This will apply to both downloads and refreshable links.
Download: Provides a download of a static dataset. This will export only the data series that you have selected.
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Flat format CSV
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Copy link: Copies a refreshable link that connects directly to the FEWS NET Data Warehouse database server, allowing Excel, your browser, or another application to automatically fetch data from the server whenever the link is accessed.
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CSV
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HTML
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JSON
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