The Data Pipeline

Our platform does not generate primary data. Instead, we act as an aggregator and visualizer. We employ a rigorous 3-step pipeline to ensure accuracy and comparability across borders.

01
Aggregation

We ingest raw CSV datasets from verified international bodies (World Bank, OWID, WHO). Data is selected based on its temporal coverage (1990-Present) and granularity.

02
Harmonization

Country names are normalized to ISO-3166 Alpha-3 codes (e.g., "Ivory Coast" → "CIV"). Units are standardized (TWh, %, USD Millions) to allow for valid cross-border comparisons.

03
Visualization

Our engine renders interactive charts and geospatial maps client-side using Plotly.js. This ensures users always see the raw data without server-side manipulation errors.

Primary Data Sources

We rely on open-access, peer-reviewed, or institutionally verified datasets. Below is the registry of current indicators tracked on the platform.

Indicator / Dataset Primary Source Coverage Last Update
Electricity Access World Bank / Ember 1990 - 2022 2024
Clean Cooking Access WHO / World Bank 2000 - 2022 2024
Energy Generation Mix Ember / OWID 2000 - 2023 2024
Extreme Poverty Rates World Bank PIP 1990 - 2022 2023
Climate Finance Flows IRENA / OECD 2000 - 2021 2023
CO₂ Emissions Global Carbon Project 1950 - 2022 2023

Data Normalization & Geography

Climate Watch Africa strictly adheres to the African Union (AU) definition of the continent, covering 54 sovereign nations.

  • Geographic Scope: Algeria to Zimbabwe.
  • Missing Data: For countries with data gaps (e.g., Somalia, Eritrea in certain years), we employ linear interpolation only where statistically valid. Otherwise, data is marked as "N/A".
  • Currency: All financial figures are converted to constant 2017 USD (PPP) unless otherwise stated.

54

Standardized Profiles

Known Limitations

Additionally, sub-national data (state/province level) is not yet available for all indicators. Our focus remains on national-level aggregates to ensure consistency across the continent.

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