Democratic Republic of Congo
UN Peacekeeping DashboardPlease view this page using Chrome.
...
DRC Population from 1980 - 2050 (proj.)
...
...
...
...
GDP Composition by Sector (2016 est.)
| Sector | Percentage |
|---|---|
| Agriculture | 20.1% |
| Industry | 31.7% |
| Services | 48.1% |
| Agricultural Products: | ||||
|---|---|---|---|---|
| coffee | sugar | palm oil | rubber | tea |
| cotton | cocoa | quinine | cassava | |
| bananas | plantains | peanuts | root crops | |
| corn | fruits | wood products |
...
...
...
Data and Code:
All of the data and code used to create everything on this website is available on GitHub.
See my tutorial, which walks through all of the steps I took to (1) get the data, (2) parse and format the data, and (3) make maps and charts.
Sources and Methodologies:
DRC Background Slideshow
* Created with TimelineJS, an open-source tool created by Northwestern University's Knight Lab.
* All sources are listed directly in the slideshow
...
DRC Population Pyramid
* Created in R using rCharts, an open-source plotting library, with help from this tutorial.
* Data from International Data Base from the US Census Bureau
...
Fertility Rate
* Created in python using Plotly, an open-source plotting library
* Data from UNESCO
* To find the data table: Demographic and socio-economic -> Demographic indicators -> Fertility rate, total (births per women)
...
Life Expectancy
* Created in python using Plotly
* Data from UNESCO
* To find the data table: Demographic and socio-economic -> Demographic indicators -> Life expectancy at birth, total (years)
...
Infant Mortality Rate
* Created in python using Plotly
* Data from UNESCO
* To find the data table: Demographic and socio-economic -> Demographic indicators -> Infant Mortality Rate (per 1,000 live births)
...
Urban vs Rural Population
* Created in python using Plotly
* Data from Food and Agriculture Organization of the United Nations
...
Internally Displaced Persons and Returnees
* Created in python using Plotly
* Data from The Humanitarian Data Exchange
* Data table used: DR Congo - Affected Persons Locations
...
GDP per Capita
* Created in python using Plotly
* Data from UNESCO
* To find the data table: Demographic and socio-economic -> Socio-economic indicators -> GDP Per Capita (current US$)
...
Total GDP
* Created in python using Plotly
* Data from UNESCO
* To find the data table: Demographic and socio-economic -> Socio-economic indicators -> GDP (current US$)
...
GDP Growth
* Created in python using Plotly
* Data from UNESCO
* To find the data table: Demographic and socio-economic -> Socio-economic indicators -> GDP Growth (annual %)
...
GDP Composition by Sector
* Data from CIA World Factbook
...
Agricultural Products
* Data from CIA World Factbook
...
Population Density Map
* Data analyzed in Python. Map created with Carto.
* Congo populaton data and shapefile downloaded from The Humanitarian Data Exchange
* Populated places shapefile downloaded from Natural Earth
* See my tutorial for more detail on how I made this map
...
Conflict Map
* Data analyzed in Python. Map created with Carto.
* Conflict data downloaded from Armed Conflict Location and Event Dataset (ACLED)
* Specific dataset: "Realtime 2017 All Africa File (updated 18th February 2017)"
* See my tutorial for more detail on how I made this map