Public census-derived data
The current version is based on public census-derived variables for Mexico. The app uses selected variables that can be interpreted consistently across states, municipalities, and local areas.
Methodology
How MexiMaps turns public data into map insight.
MexiMaps combines public census-derived data, geographic boundaries, and hexagonal grids to create relative indicators for exploring social and economic patterns across Mexico.
Explore the mapWhat MexiMaps measures
MexiMaps does not measure one single outcome. It combines several census-derived dimensions such as education, employment, housing, services, household resources, and demographic pressure into map-readable indicators.
The purpose is to make public data easier to compare geographically. Scores are relative signals meant to reveal patterns, contrast places, and help users ask better questions about local conditions.
Metrics
What the main scores mean
The map uses a small set of readable signals instead of exposing every raw census variable. Each metric is meant to answer a different kind of question about place, context, and relative conditions.
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SCI
Socioeconomic Index
A broad composite signal for local socioeconomic conditions. It helps compare where an area appears stronger or weaker relative to other places on the map.
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Components
Component metrics
Readable dimensions behind the index, including schooling, labor conditions, housing quality, basic services, and household resources such as technology or durable goods.
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Pressure signals
Pressure factors
These signals look at overcrowding, marginalization, and age dependency. Together, they help identify places showing stronger material or demographic strain.
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Strength
Strength Score
Highlights places that perform consistently across several positive dimensions instead of relying on a single strong score.
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Pressure
Pressure Score
Combines the pressure components into a simple signal. Higher values point to places that deserve closer review, not a final diagnosis.
States, municipalities, and hexes
Data is shown through administrative boundaries and hexagonal grid cells. Administrative areas help users recognize places, while hexes make local patterns easier to compare across the map.
Relative indicators
Metrics are normalized into comparable scores. Higher or lower values depend on the selected metric, and the legend explains how each map layer should be read.
Multiple levels of detail
The map uses different layer resolutions depending on the view. National views favor broader patterns, while selected states and municipalities reveal finer local detail.
Aggregated information only
MexiMaps displays aggregated statistical information. It does not show individual people, household records, addresses, or precise personal information.
A starting point, not a final answer
Data quality, timing, geographic boundaries, and local context all matter. A high or low score should be treated as a signal for deeper review, not a complete explanation of a place.
How to use the scores
Scores are designed for comparison within the map, not as absolute truth. They are most useful when viewed together with nearby areas, different metrics, and local knowledge.
Questions about the methodology?
For methodology questions, data issues, or collaboration ideas, reach out at lfsalazarcruz@gmail.com. I am happy to discuss the approach in more detail when useful.
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