06 · Data
All sources
Every source used in this analysis is listed below with its access status, role, and a direct link. Nothing is hidden. Everything is reproducible.
Data sources
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Open
Open-Meteo Historical Weather API
Hourly temperature at 2m, relative humidity, wind speed. ERA5 model (Copernicus / ECMWF). Coordinates: 18.0858°N, −15.9785°W. Period: 2019–2025. License: CC BY 4.0.
open-meteo.com -
Open
ILO (2019), Working on a Warmer Planet
International Labour Organization report on the impact of heat stress on global productivity. Contains work capacity curves by metabolic intensity level, derived from ISO 7243. Open access (PDF on ilo.org). -
Standard
ISO 7243:2017 — Heat stress assessment
International standard for evaluating heat stress in the workplace. Defines WBGT thresholds by metabolic activity level (light, moderate, heavy). Paid access (iso.org), but curves are reproduced in the ILO report. -
Official
JICA (2018), Nouakchott Urban Master Plan — Table I-14
Inventory of commercial spaces in Nouakchott: 94,296 units (shops, workshops, offices, services). The most recent and comprehensive source on the city's commercial fabric.
openjicareport.jica.go.jp -
Official
SOMELEC — Professional tariff schedule
Rate of 5.903 MRU/kWh for professional customers. This is the effective rate, not the subsidized residential rate. -
Official
ILO ILOSTAT (2022) — Mauritania minimum wage
Minimum wage (SMIG): 3,000 MRU/month. Used as the base unit for three wage scenarios (1.0×, 1.4×, 1.8× SMIG).
Reference sources
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Context
World Bank — Mauritania profile
Macroeconomic data, GDP, urban population. Used to contextualize orders of magnitude ($73M vs. national GDP). -
Context
ONS Mauritania — Census and employment surveys
Nouakchott's working population, urbanization rate, formal/informal employment structure. Used to validate the 120,000 exposed worker estimate. -
Context
AfDB — Desert-to-Power Roadmap Mauritania (2020)
SOMELEC installed capacity (~530 MW), energy mix (71% thermal), demand growth (6–7% per year). Grid context.
afdb.org -
Context
Climatescope 2022 — Mauritania
Peak demand (~200 MW), available capacity (~450 MW), electricity access rate (~55%). Grid context.
global-climatescope.org -
Method
Liljegren et al. (2008)
Simplified formula for temperature/humidity → WBGT conversion. Journal of Occupational and Environmental Hygiene.
Declared local knowledge
Some assumptions don't come from databases but from direct observation. We declare them as such — these are stated parameters, not verifiable measurements.
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Declared
AC penetration rate: 1 in 3
There are no official statistics on commercial AC penetration in Nouakchott. The central estimate of 1 in 3 is a local observation, consistent with the commercial fabric. We also test 1/5 (conservative) and 1/2 (high). -
Declared
120,000 exposed workers
Central estimate. Nouakchott's working population exceeds 300,000, but we exclude those in air-conditioned offices, government, and formal service sectors. -
Declared
Air conditioning as a class marker
Field observation. AC in Nouakchott divides the economy in two: one that runs year-round, and one that stops when it gets too hot. This framing is central to the project. -
Declared
Power outages during heat peaks
Power cuts are frequent in Nouakchott and concentrate during peak demand — the hottest months. There is no public SOMELEC outage registry. Declared as context, corroborated by press coverage.
Reproducibility
The entire codebase — data pipeline, calculation scripts, visualizations, and the site itself — is available on GitHub. Anyone can reproduce the analysis from scratch with an internet connection and Python 3.
Repository
github.com/agattbechar/nkc-heat-tax — data pipeline, calculations, visualizations, static site. Everything reproducible from zero.
If you find an error, a questionable assumption, or a better data source, open an issue on the repository. This work is open precisely to be challenged and improved.