Renda do responsável: A renda desenha outra fronteira

Cerejo, Lucas Nakamura

doi:10.5281/zenodo.23539051

No. 034 Census · income Campinas Metropolitan Region 3/4

Household head income

Income draws another border

Record, downloads and citation

Map of the Campinas Metropolitan Region with its 6,548 census tracts coloured by the median monthly nominal income of the household head in 2022, in minimum wages, on a viridis ramp from yellow (up to 1 minimum wage) to deep purple (over 5). The teal of 2 to 3 minimum wages dominates the urban patches; blue and purple gather in Campinas, Valinhos, Vinhedo, Paulínia and Indaiatuba; the light green of 1 to 2 minimum wages appears in the west and on the rural edges. Tracts without data are hatched. A callout points to a tract in Indaiatuba with a median of R$ 28,000. In the panel, each class has a bar with its share of the region’s household heads. — Fig. 034 Campinas Metropolitan Region (SP) EPSG:4674 Source: IBGE

In 2022, the Brazilian minimum wage was R$ 1,212 a month. In the Campinas Metropolitan Region, 47% of household heads lived in census tracts where the heads’ median income did not exceed two minimum wages; 8.2% lived in tracts above five. The map colours each tract by median income and draws a border that is not the municipal one: in Vinhedo, Valinhos and Indaiatuba, one head in three lives in tracts above three minimum wages; in Hortolândia and Sumaré, one in ten; in Monte Mor, under 3%. The highest median, R$ 28,000 (23 minimum wages), belongs to a tract in Indaiatuba. Third plate of the collection “Campinas Metropolitan Region”.

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At a glance

Layers

setores polygon 6,548 census tracts: household heads, residents, mean and median household head income
municipios polygon Outline of the 20 municipalities

Metadata

Sources: IBGE — 2022 Population Census: household head income by census tract (2022)
IBGE — 2022 Census Tract Mesh (2022)
IBGE — Municipal Mesh 2025 (2025)
Extent: Campinas Metropolitan Region (SP)
CRS / Projection: SIRGAS 2000 (EPSG:4674)
EPSG:4674
Software: Python · GeoPandas · GDAL · QGIS · Node.js · d3-geo
Method: Median monthly nominal income of household heads with income, by 2022 Census tract, in six classes measured in 2022 minimum wages (R$ 1,212).
Version: v1.0.0
Licence: CC BY 4.0
DOI: 10.5281/zenodo.23539051

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How to cite

Cerejo, L. N. (2026). Renda do responsável: a renda desenha outra fronteira [Household head income: Income draws another border] (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23539051

@dataset{cerejo2026_renda_rmc,
  author    = {Cerejo, Lucas Nakamura},
  title     = {Renda do responsável: A renda desenha outra fronteira},
  year      = {2026},
  publisher = {Zenodo},
  version   = {1.0.0},
  doi       = {10.5281/zenodo.23539051},
  url       = {https://doi.org/10.5281/zenodo.23539051},
  language  = {portuguese},
  note      = {English title: Household head income: Income draws another border. Licence CC BY 4.0}
}

How to read this plate area, projection, scale, legend and source · 2 terms

1 Area: Campinas Metropolitan Region (SP) The area the plate covers. Outside it, neighbours and sea are drawn in grey, just for orientation.
2 Coordinates and projection: SIRGAS 2000 (EPSG:4674) The layers are in SIRGAS 2000; the drawing’s projection is written in the colophon at the foot of the panel.
3 Scale: Graphic scale bar in the panel The scale bar is true on the central meridian; away from it, measured distances vary a little.
4 Legend and layers: 2 layers in the GeoPackage · polygon Read the legend before the map: it tells you whether a colour is a rate or a class, and whether a circle is a total.
5 Sources: IBGE (2022); IBGE (2025) Every figure comes from a public source, with its year. The data sheet gives each one’s address.

Terms on this plate

Census tract: The smallest collection area of the IBGE Census, a few hundred households each. It is the finest grain at which income, sanitation and housing can be seen without identifying anyone.
2022 Census: IBGE’s door-to-door count. Results by census tract give residents, age, household-head income, water, sewerage and rubbish.

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Layers, table and figures, under CC BY 4.0. Cite with the DOI.

Full record and citation

Method notes · No. 034

Household head income in the census tracts of the Campinas Metropolitan Region

Português · English

Plate No. 034, the third of four in the collection Campinas Metropolitan Region: in the same tracts as the previous plate, what the person who answers for the home earns.

What the files contain

Layer (GPKG)	Geometry	Contents
`setores`	polygon	6,548 tracts: `CD_SETOR`, `CD_MUN`, `NM_MUN`, `NM_BAIRRO`, `situacao`, `responsaveis` (heads), `moradores` (residents), `renda_media` and `renda_mediana` (R$ a month, heads with income)
`municipios`	polygon	outline of the 20 municipalities

The GPKG is zipped and attached to the rmc-2026 release. The setores layer carries the plate’s QGIS style (mediana), with the classes in reais.

The CSV holds the tract table in UTF-8, without geometry.

Method

2022 Census household head income aggregates by tract: household heads, residents, and the mean and median monthly nominal income of heads with income, in occupied permanent private households.
Joined to the 2022 Census Tract Mesh by tract code, in the region’s 20 municipalities.
Six classes of median income, in 2022 minimum wages (R$ 1,212): up to 1, 1 to 1.5, 1.5 to 2, 2 to 3, 3 to 5 and over 5.
Each class’s share adds up the heads of the tracts in that class, over the total of tracts with data.

Limitations

The median covers heads with income: those with no income at all are left out, so the median of the poorest tracts sits above what it would be if everyone were counted.
Income is nominal, as declared to the enumerator, and the head’s income is not the income of the whole household.
241 tracts have no income data (no occupied household, or a value withheld by IBGE for confidentiality) and are hatched.
A tract median hides the mix within the tract: a gated estate and a neighbouring informal settlement may fall in the same polygon.

View this map’s folder on GitHub