Datasets, Data Products, & Sample Indicators#
Datasets#
Datasets refer to all datasets used in the analytics prepared for a project. The Datasets table includes a description of the data and their update frequency, as well as access links and contact information for questions about use and access. Users should not require any datasets not included in this table to complete the analytical work for the Data Good.
The following is the list of all Datasets used in this Data Good:
Note
Project Sharepoint links are only accessible to the project team. For permissions to access these data, please write to the contact provided. The Development Data Hub is the World Bank’s central data catalogue and includes meta-data and license information.Where feasible, all datasets that can be obtained through the Development Data Hub have been placed in a special collection: Syria Economic Monitor Data Collection.
ID |
Name |
License |
Description |
Update Frequency |
Access |
Contact |
---|---|---|---|---|---|---|
1 |
Syria Admin Boundaries |
Open |
Admin boundaries up to level 4 |
No Planned Update (Last updated in January 2021) |
Sahiti Sarva, Data Lab |
|
2 |
Population Movement |
Proprietary |
Timestamped geographical points generated by GPS-enabled devices, provided by Outlogic |
Monthly (Daily possible) |
Gabriel Stefanini Vicente, Data Lab |
|
3 |
ACLED Conflict Data |
Open |
Timestamped, geolocated points where conflict took place collected based on news and crowdsourced data |
Daily |
Andres Chamorro, GOST |
|
4 |
Nighttime Lights |
Open |
Nighttime lights from VIIRS/Black Marble |
Monthly (daily possible) |
Benjamin Stewart, GOST; Robert Marty, DIME |
|
5 |
Vehicle Counts Derived from Satellite Imagery |
Proprietary |
Counts of cars and trucks from high resolution satellite imagery via Orbital Insight |
On ad hoc basis (high-res imagery not taken at regular intervals) |
Robert Marty, DIME |
|
6 |
Radar Data |
Open |
ESA Synthetic Aperture Radar used to detect metallic reflectance (e.g., from vehicles). |
Every 12 days |
Robert Marty, DIME |
|
7 |
Traffic Trends Derived from Remote Sensing |
Proprietary |
Analysis of ESA Radar data to detect changes in traffic patterns via SpaceKnow |
Monthly |
||
8 |
AIS Data |
Proprietary |
Ship location data aggregated by Spire made available through a UN collaboration. (Available from 1 Dec 2018 - 31 Aug 2022) |
Updated Daily |
Andres Chamorro, GOST |
|
9 |
Population Data |
Open and Proprietary |
Population with demographic information from Meta (2019) and population from WorldPop (2020) |
No Planned Update (Data available for 2019 and 2020) |
Sahiti Sarva, Data Lab |
|
10 |
Normalized Difference Vegetation Index (NDVI) |
Open |
Normalized Difference Vegetation Index datasets sourced from MODIS, used to measure change in agricultural production |
Monthly |
European Commission, Anomaly Hotspots of Agricultural Production; Development Data Hub |
Andres Chamorro, GOST |
11 |
Border Crossing Map |
Authorized Access |
Border crossing analysis by UN Humanitarian Needs Assessment Programme |
No Planned Update (Last updated August 2022) |
||
12 |
Forest Cover Change |
Open |
Global Forest Watch prepares annual global estimates of forest cover change, based on Landsat data. |
Annually |
||
13 |
USGS Earthquake Location |
Open |
USGS provides a shakemap of earthquake intensity felt in different parts of the country during the February 2023 earthquake. |
No planned frequency |
Data Products Summary#
Data Products are produced using the Datasets and can be further used to generate indicators and insights. All Data Products include documentation, references to original data sources (and/or information on how to access them), and a description of their limitations.
Following is a summary of Data Products used in this Data Good:
ID |
Name |
Description |
Limitations |
Foundational Datasets Used (ID#) |
---|---|---|---|---|
A |
Shipping Import and Export Volumes |
Daily/monthly aggregated estimated import export trade volume by port |
Results only reflect reported AIS data; Draft data underlying volume estimates not consistently reported. |
1,8 |
B |
Observed Vehicle Stop Locations by Border Crossing Type (Formal and Informal) using GPS data |
Monthly aggregated analysis of trip patterns through formal and informal checkpoints, over time. |
Convenience sample; Sample size is very limited |
1,2,11 |
C |
Trends in Traffic Volumes at Formal and Informal Border Crossings |
Monthly aggregated statistics of cross-border flows at select locations |
Data purchase limited to select checkpoints to determine insight value; Satellite imagery-derived counts reflect sporadic time periods; Radar-derived traffic trends do not include counts |
5,6,7,11 |
D |
Changes in Observed Nighttime Lights |
Yearly and monthly aggregated remote sensing data used to derive changes in observed nighttime lights |
Results reflect data from NASA’s nighttime lights data |
4 |
E |
Change in Agricultural Production |
Monthly change in Normalized Difference in Vegetation Index as a proxy to measure change in agricultural production |
The statistics are based on global datasets to flag warnings. It has not been fine-tuned to describe local agricultural dynamics. |
10 |
F |
Changes in Forest Cover |
Net change in forest cover from 2000 through 2021 with Summary Statistics |
Due to technology and method changes, data pre- and post 2015 not always directly comparable. |
12 |
Sample Indicators#
Indicators can be derived from a combination of Datasets and Data Products. By combining Datasets and Data Products, teams can, on-demand, develop a large array of indicators to meet their project needs. Indicators can presented side-by-side in an Excel workbook – a format that is generally accessible to the widest audiences. Because all indicators are based on the same underlying data, they are comparable with each other, across geographies and across time.
For this project, sample indicators have been derived and aggregated at the governorate level and by year, to show changing trends in each governorate over time. Here is a link to the Indicators Excel workbook (accessible to team members via SharePoint): Excel workbook, and following is a summary of sample indicators.
ID |
Name |
Indicator (units) |
Potential Update Frequency |
Datasets and Data Products Used (ID#) |
---|---|---|---|---|
i |
Population |
Number of people |
Annual |
1,9 |
ii |
Agriculture Indicators |
Sum of Z-Scores |
Annually |
1,E |
iii |
Nighttime Lights |
Sum of nighttime light pixels |
Monthly |
1,D |
iv |
Port Activity Indicator |
Export volume (Tonnes) |
Annually |
1,A |
v |
Port Activity Indicator |
Import volume (Tonnes) |
Annually |
1,A |
vi |
Fatalities from Violent Conflict |
Number of people |
Monthly |
1,3 |
vii |
Number of Violent Attacks |
Number of events |
Monthly |
1,3 |
viii |
Number of Riots and Protests |
Number of events |
Monthly |
1,3 |
ix |
Observed Formal Border-Crossing Corridor Locations |
Number of observed stops |
Annually |
1,B |
x |
Observed Formal Border-Crossing Corridor Locations |
Number of observed stops |
Annually |
1,B |