Why it matters
Why build a poverty monitor?
The problem is not the lack of data. The problem is the missing reading layer.
Poverty data in Ecuador already exist across official bulletins, microdata, methodological notes, poverty lines, labor reports, monthly releases, quarterly files, and annual databases. This monitor turns that scattered public information into a coherent, reproducible, and decision-oriented reading.
A reading layer for public data
The Ecuador Poverty Monitor connects income, deprivation, territory, labor conditions, and statistical quality into one static Quarto product.
It does not replace official statistics. It helps explain how to read them.
Starting point
What is fragmented?
The issue is not a shortage of information. The issue is that each release answers only part of the question.
Tables can inform, but poverty analysis needs context: what was measured, what period supports the estimate, which territorial domains are valid, and how precise the result is.
Analytical purpose
What the monitor connects
Poverty can be read through income, basic needs, simultaneous deprivation, territory, and work. Each lens illuminates a different part of the problem.
When those pieces are read separately, the picture remains incomplete. When they are connected, the country becomes easier to understand.
A single figure can inform. A well-built reading layer can support better decisions.
What ENEMDU contributes
Source, engine, product
ENEMDU is Ecuador’s National Survey of Employment, Unemployment, and Underemployment. It is one of the country’s key statistical operations for analyzing work, labor conditions, income, poverty, and household characteristics.
1. Official source
The base information comes from ENEMDU and its methodological documentation.
2. Analytical engine
enemduR organizes reading, validation, estimation, indicators, and analytical outputs.
3. Narrative product
This site turns results into a visual and explanatory story.
How to read the site
Three speeds, different questions
This product does not treat all periods as if they supported the same type of reading. The monitor is organized into monthly pulse, quarterly city view, and annual structural analysis.
Monthly
Recent pulse
Used mainly for national, urban/rural, and labor-market readings.
Quarterly
City signals
Used for observing the five main cities when the sample domain allows it.
Annual
Structural base
Used as the core of the full poverty, NBI, multidimensional, quintile, and provincial analysis.
Income
Whether household per-capita income reaches a poverty line.
Deprivation
How basic needs and multidimensional disadvantages accumulate.
Territory
Where estimates are valid, precise, and analytically meaningful.
Labor
How employment connects income, vulnerability, and wellbeing.
Golden rule
Never show a territorial disaggregation that does not match the representativity domain of the period being used. Methodological clarity is part of the product, not a secondary note.
What this monitor adds
A compact product contract
This monitor adds an integrated reading of poverty, a reproducible architecture based on enemduR, a stronger visual communication layer, a clear distinction between pulse and structure, and a technical discussion of representativity.
What it does not do
Official microdata
The monitor starts from ENEMDU and its methodological documentation.
Methodological contracts
Each layer has explicit limits for period, domain, and use.
Statistical quality
Precision and representativity are part of the story, not footnotes.
Reproducible output
Scripts prepare derived outputs for a static Quarto site.