Maps · Sheet 8 — Essencial

No. 036 Hydrography Water in São Paulo 1/3

River basins

Twenty-two homes for the same rain

Map of São Paulo state divided into its 22 UGRHIs, numbered in white seals and coloured by population density in 2022, on a viridis ramp from yellow (under 43 people per km², in the south and west) to dark purple (over 190, in Alto Tietê, Piracicaba/Capivari/Jundiaí and Baixada Santista). A blue line with diamonds marks the Tietê-Paraná waterway and its eight locks. An arrowed callout points to Alto Tietê: 46.1% of the people on 2.4% of the land. In the panel, an index lists the 22 basins by number. — Fig. 036 São Paulo state (SP) EPSG:4674 Source: SEADE, IBGE, MapBiomas

To look after its water, São Paulo does not use the map of municipalities but the map of basins: 22 Water Resources Management Units, the UGRHIs. Coloured by the 2022 Census population, they show a state that is unequal under the same rain. The municipalities of Alto Tietê, around the capital, hold 20.5 million people, 46.1% of the state’s population, on 2.4% of its land: 3,456 people per km². In Pontal do Paranapanema there are 20.8. Along the Tietê and the Paraná runs the waterway too, with its eight locks drawn on the map. First plate of the collection “Water in São Paulo”.

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At a glance

Layers

ugrhi polygon 22 UGRHIs: area, municipalities, 2022 population and density
municipios polygon 645 municipalities, with the assigned UGRHI, the share of territory in it and the 2022 population
hidrovia line Tietê-Paraná waterway
eclusas point 8 locks on the waterway
limite_estadual polygon State boundary

Metadata

Sources: SEADE — GeoSEADE: Water Resources Management Units (UGRHIs), as defined by the State Water Resources Council
IBGE — 2022 Population Census: aggregates by municipality (2022)
MapBiomas — infrastructure database: waterways and locks
IBGE — Municipal Mesh 2025 (2025)
Extent: São Paulo state (SP)
CRS / Projection: SIRGAS 2000 (EPSG:4674)
EPSG:4674
Software: Python · GeoPandas · GDAL · QGIS · Node.js · d3-geo
Method: Each municipality assigned to the UGRHI covering most of its territory; 2022 Census population summed by UGRHI and divided by basin area, in six quantile classes.
Version: v1.0.0
Licence: CC BY 4.0
DOI: 10.5281/zenodo.23539331

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Cerejo, L. N. (2026). Bacias hidrográficas: vinte e duas casas para a mesma chuva [River basins: Twenty-two homes for the same rain] (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23539331

@dataset{cerejo2026_bacias_hidrograficas_sp,
  author    = {Cerejo, Lucas Nakamura},
  title     = {Bacias hidrográficas: Vinte e duas casas para a mesma chuva},
  year      = {2026},
  publisher = {Zenodo},
  version   = {1.0.0},
  doi       = {10.5281/zenodo.23539331},
  url       = {https://doi.org/10.5281/zenodo.23539331},
  language  = {portuguese},
  note      = {English title: River basins: Twenty-two homes for the same rain. Licence CC BY 4.0}
}

No. 035 Hydrography Campinas Metropolitan Region 4/4

Riparian reserves of Campinas

Where water rises, the forest is missing

Map of the municipality of Campinas, in transverse Mercator projection, with the stream network drawn as thin strips coloured by land use inside the permanent preservation area: dark green for forest, straw yellow for human-altered land, dark grey for built-up area. Small blue dots mark 1,671 springs, and lakes and reservoirs appear in light blue. Green dominates the dense network in the east; grey fills the streams of the urban centre and west; yellow spreads across the rural south and north. A callout points to a spring in the centre: 49 springs under the city. In the panel, a strip splits the reserve area by land use class, and bars show which class the springs fall in. — Fig. 035 Municipality of Campinas (SP) EPSG:4674 Source: FBDS, IBGE

Brazil’s Forest Code requires a strip of protected vegetation along every river, around every spring and on the shores of reservoirs: the permanent preservation areas, or APPs. In Campinas they add up to 108 km², 13.6% of the municipality, drawn over 1,682 km of streams and 1,671 springs. Only 26.4% of that strip is forest. The rest is pasture, cropland and bare soil (57.9%) or city (14.3%). Of the springs, 325 lie in forest and 1,261 in human-altered land; 49 have ended up under the streets and roofs of the urban area. On the map, green thickens in the east, in the hills of Sousas and Joaquim Egídio, and vanishes in the centre, where the streams run between houses. Fourth plate of the collection “Campinas Metropolitan Region”.

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At a glance

Layers

app_uso polygon Land use inside the reserves, in five classes, with area in hectares
app polygon 2,657 reserve strips, with their origin (stream, water body, spring) and width in metres
rios line 5,351 single-line stream segments, with width class and length
rios_duplos polygon 114 double-bank river reaches
massas_dagua polygon 967 lakes and reservoirs, 956 of them artificial
nascentes point 1,671 springs
limite_municipal polygon Boundary of Campinas

Metadata

Sources: FBDS — Brazilian Foundation for Sustainable Development: high-resolution mapping of land use, hydrography and riparian reserves
IBGE — Municipal Mesh 2025 (2025)
Extent: Municipality of Campinas (SP)
CRS / Projection: SIRGAS 2000 (EPSG:4674)
EPSG:4674
Software: Python · GeoPandas · GDAL · QGIS · Node.js · d3-geo
Method: Reserves, stream network, springs and land use inside the reserves from the FBDS mapping of Campinas; area of each land use class summed and springs assigned to the class they fall in.
Version: v1.0.0
Licence: CC BY 4.0
DOI: 10.5281/zenodo.23539297

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The map without a frame, with legend, scale, reference system and credit written on it: ready for papers, lectures and slides. In two versions: with the basemap (neighbours and sea) or only the mapped area, on white.

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Cerejo, L. N. (2026). APPs de Campinas: onde a água nasce, a mata falta [Riparian reserves of Campinas: Where water rises, the forest is missing] (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23539297

@dataset{cerejo2026_apps_campinas,
  author    = {Cerejo, Lucas Nakamura},
  title     = {APPs de Campinas: Onde a água nasce, a mata falta},
  year      = {2026},
  publisher = {Zenodo},
  version   = {1.0.0},
  doi       = {10.5281/zenodo.23539297},
  url       = {https://doi.org/10.5281/zenodo.23539297},
  language  = {portuguese},
  note      = {English title: Riparian reserves of Campinas: Where water rises, the forest is missing. Licence CC BY 4.0}
}

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

Household head income

Income draws another border

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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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}
}

No. 033 Census · income Campinas Metropolitan Region 2/4

Households per km²

Half the homes on 3.4 % of the ground

The 2022 Census counted 1,157,476 occupied households in the 20 municipalities of the Campinas Metropolitan Region, home to 3,179,156 people. Half of those homes fit into 129 km², 3.4% of the region’s area. The map colours each of the 6,548 census tracts by households per km² and shows the city in layers: central Campinas and the neighbourhoods of Sumaré, Hortolândia and Americana above 5,000, the fringe of housing estates between 1,000 and 5,000 and, all around, the countryside, below 100. Hortolândia is the densest municipality, with 1,295 households per km²; Morungaba the least dense, with 33. Second plate of the collection “Campinas Metropolitan Region”.

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At a glance

Layers

setores polygon 6,548 census tracts: urban/rural status, area, people, occupied households and households per km²
municipios polygon 20 municipalities: households, people, area, tracts and households per km²

Metadata

Sources: IBGE — 2022 Population Census: aggregates 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: Occupied private households in each 2022 Census tract divided by the tract’s area, in six fixed-break classes.
Version: v1.0.0
Licence: CC BY 4.0
DOI: 10.5281/zenodo.23539032

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The map without a frame, with legend, scale, reference system and credit written on it: ready for papers, lectures and slides. In two versions: with the basemap (neighbours and sea) or only the mapped area, on white.

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Cerejo, L. N. (2026). Domicílios por km²: metade dos lares em 3,4 % do chão [Households per km²: Half the homes on 3.4 % of the ground] (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23539032

@dataset{cerejo2026_domicilios_rmc,
  author    = {Cerejo, Lucas Nakamura},
  title     = {Domicílios por km²: Metade dos lares em 3,4 % do chão},
  year      = {2026},
  publisher = {Zenodo},
  version   = {1.0.0},
  doi       = {10.5281/zenodo.23539032},
  url       = {https://doi.org/10.5281/zenodo.23539032},
  language  = {portuguese},
  note      = {English title: Households per km²: Half the homes on 3.4 % of the ground. Licence CC BY 4.0}
}

No. 032 Land use Campinas Metropolitan Region 1/4

Land use and land cover

Between cane and city, islands of forest

Map of the 20 municipalities of the Campinas Metropolitan Region, in transverse Mercator projection, covered pixel by pixel by the MapBiomas 2024 classification. The dark grey of urban areas forms a continuous axis from Americana and Santa Bárbara d'Oeste to Campinas, Valinhos and Vinhedo, with another patch at Indaiatuba. The ochre of sugarcane dominates the west; the cream of the mosaic of uses and the straw yellow of pasture cover the east, dotted with the dark green of forest in Morungaba, Itatiba and Pedreira. A callout points to the largest forest fragment, 8.6 km², in Itatiba. In the panel, a strip splits the region’s area into the ten classes, and bars show the urban share of six municipalities. — Fig. 032 Campinas Metropolitan Region (SP) EPSG:4674 Source: MapBiomas, IBGE

The grey patch of the city already covers 21.1% of the 3,791 km² of the Campinas Metropolitan Region, and 72.6% of Hortolândia. To the west, sugarcane takes half of Santa Bárbara d'Oeste (49.3%) and 39.7% of Cosmópolis. To the east, in the hills of Morungaba, Itatiba and Pedreira, the forest holds out in islands: 7,743 forest fragments, only 31 of them larger than 1 km². The largest, in Itatiba, covers 8.6 km². The most common class is none of these but the mosaic of uses (29.3%): pastures, small fields and country plots that the satellite cannot tell apart at 30 m. First plate of the collection “Campinas Metropolitan Region”.

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At a glance

Layers

cobertura_2024 raster GeoTIFF of the 2024 classification clipped to the region, with the original MapBiomas codes and the plate’s palette in a .qml style
municipios polygon 20 municipalities: area and km² and % of each of the ten classes
limite_rmc polygon Outline of the region

Metadata

Sources: MapBiomas — Collection 10 of the annual land cover and land use maps of Brazil (2024)
IBGE — Municipal Mesh 2025 (2025)
Extent: Campinas Metropolitan Region (SP)
CRS / Projection: SIRGAS 2000 (EPSG:4674)
EPSG:4674
Software: Python · rasterio · GeoPandas · SciPy · GDAL · QGIS · Node.js · d3-geo
Method: MapBiomas Collection 10 classification for 2024, 30 m pixels, grouped into ten classes; each pixel’s area measured on the ellipsoid and summed for the region and for each municipality.
Version: v1.0.0
Licence: CC BY 4.0
DOI: 10.5281/zenodo.23539003

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The map without a frame, with legend, scale, reference system and credit written on it: ready for papers, lectures and slides. In two versions: with the basemap (neighbours and sea) or only the mapped area, on white.

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How to cite

Cerejo, L. N. (2026). Uso e cobertura da terra: entre a cana e a cidade, ilhas de mata [Land use and land cover: Between cane and city, islands of forest] (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23539003

@dataset{cerejo2026_uso_da_terra_rmc,
  author    = {Cerejo, Lucas Nakamura},
  title     = {Uso e cobertura da terra: Entre a cana e a cidade, ilhas de mata},
  year      = {2026},
  publisher = {Zenodo},
  version   = {1.0.0},
  doi       = {10.5281/zenodo.23539003},
  url       = {https://doi.org/10.5281/zenodo.23539003},
  language  = {portuguese},
  note      = {English title: Land use and land cover: Between cane and city, islands of forest. Licence CC BY 4.0}
}

No. 031 Energy · biomass Bioenergy in São Paulo 4/4

Mills and cane

The harvest that lights the grid

Map of São Paulo state with municipalities coloured by cane production in 2024, on a light ramp from cream to olive green, and clay-coloured circles, proportional to capacity, marking 211 sugarcane-bagasse power stations; the five being built are hollow. The circles cover the north, centre and west of the state, where cane is densest, and thin out in the east, the Ribeira valley and Greater São Paulo. An arrowed callout picks out the largest station, Barra Bioenergia (136 MW). — Fig. 031 São Paulo state (SP) EPSG:4674 Source: ANEEL, IBGE, EPE

After crushing, sugarcane bagasse goes into the boiler, and the steam makes the mill’s own electricity plus a surplus for the grid. In São Paulo, 211 bagasse power stations are registered with ANEEL, 206 of them in operation, with 6.18 GW of licensed capacity; the largest, Barra Bioenergia in Barra Bonita, has 136 MW. Over the map of cane harvested in 2024, the circles show that the energy is born where the crop is: the 140 municipalities with at least one such station accounted for 48.8% of the cane harvested in the state. There, between cane field and substation, waste becomes grid. Final plate of the collection “Bioenergy in São Paulo”.

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At a glance

Layers

ute_bagaco point 211 sugarcane-bagasse power stations: phase, capacity (kW), start of operations
usinas_epe_2018 point 161 sugar-energy mills from the EPE WebMap 2018: type, crushing class, ethanol capacity
municipios polygon 645 municipalities: cane production (t), number and capacity of power stations
regioes_intermediarias polygon 11 intermediate geographic regions
limite_estadual polygon State boundary

Metadata

Sources: ANEEL — Generation Information System (SIGA), as published in the MapBiomas infrastructure database (2022)
IBGE — Municipal Agricultural Production (PAM), table 1612 (2024)
EPE — WebMap: ethanol and sugar mills (extra GPKG layer) (2018)
IBGE — Municipal Mesh 2025 (2025)
Extent: São Paulo state (SP)
CRS / Projection: SIRGAS 2000 (EPSG:4674)
EPSG:4674
Software: Python · GeoPandas · GDAL · QGIS · Node.js · d3-geo
Method: SIGA bagasse power stations, by licensed capacity, over PAM 2024 cane production by municipality, in six quantile classes.
Version: v1.0.0
Licence: CC BY 4.0
DOI: 10.5281/zenodo.23538990

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The map without a frame, with legend, scale, reference system and credit written on it: ready for papers, lectures and slides. In two versions: with the basemap (neighbours and sea) or only the mapped area, on white.

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How to cite

Cerejo, L. N. (2026). Usinas e cana: a colheita que acende a rede [Mills and cane: The harvest that lights the grid] (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23538990

@dataset{cerejo2026_usinas_e_cana_sp,
  author    = {Cerejo, Lucas Nakamura},
  title     = {Usinas e cana: A colheita que acende a rede},
  year      = {2026},
  publisher = {Zenodo},
  version   = {1.0.0},
  doi       = {10.5281/zenodo.23538990},
  url       = {https://doi.org/10.5281/zenodo.23538990},
  language  = {portuguese},
  note      = {English title: Mills and cane: The harvest that lights the grid. Licence CC BY 4.0}
}

No. 030 Land use Bioenergy in São Paulo 3/4

Sugarcane

A green sea over a fifth of the state

Map of São Paulo state with municipalities coloured by the share of their territory under harvested cane in 2024, in six classes of the viridis palette, from yellow (up to 4.1%) to dark purple (51% to 82.1%). A continuous purple patch covers the north and centre of the state; the east, the Ribeira valley and Greater São Paulo are yellow, grey (zero) or hatched (no data). The five largest producers are named: Morro Agudo, Barretos, Guaíra, Jaboticabal and Rancharia. — Fig. 030 São Paulo state (SP) EPSG:4674 Source: IBGE

In 2024, São Paulo’s cane fields were harvested over 5.40 million hectares, 21.7% of the state, and yielded 418.6 million tonnes of cane. In 88 municipalities the harvested area exceeds half the territory; in Areiópolis it reaches 82%, and in Jaboticabal 81%. The map shows the dark patch that covers the north and centre of the state and has Morro Agudo as its largest producer (7.0 million tonnes), and it shows where the patch ends: in the Paraíba valley, the Ribeira valley and Greater São Paulo, cane all but disappears. Every tonne harvested leaves bagasse and straw, and every litre of ethanol leaves vinasse; this is the map São Paulo’s bioenergy rests on. Third plate of the collection “Bioenergy in São Paulo”.

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At a glance

Layers

municipios polygon 645 municipalities: harvested area (ha), production (t), share of territory (%) and yield (t/ha)
regioes_intermediarias polygon 11 intermediate geographic regions
limite_estadual polygon State boundary

Metadata

Sources: IBGE — Municipal Agricultural Production (PAM), table 1612: temporary crops (2024)
IBGE — Municipal Mesh 2025 (2025)
Extent: São Paulo state (SP)
CRS / Projection: SIRGAS 2000 (EPSG:4674)
EPSG:4674
Software: Python · GeoPandas · GDAL · QGIS · Node.js · d3-geo
Method: Harvested area and production of sugarcane from PAM 2024 joined to the Municipal Mesh by IBGE code; harvested area divided by municipal area, in six quantile classes.
Version: v1.0.0
Licence: CC BY 4.0
DOI: 10.5281/zenodo.23538956

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The map without a frame, with legend, scale, reference system and credit written on it: ready for papers, lectures and slides. In two versions: with the basemap (neighbours and sea) or only the mapped area, on white.

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How to cite

Cerejo, L. N. (2026). Cana-de-açúcar: um mar verde sobre um quinto do estado [Sugarcane: A green sea over a fifth of the state] (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23538956

@dataset{cerejo2026_cana_de_acucar_sp,
  author    = {Cerejo, Lucas Nakamura},
  title     = {Cana-de-açúcar: Um mar verde sobre um quinto do estado},
  year      = {2026},
  publisher = {Zenodo},
  version   = {1.0.0},
  doi       = {10.5281/zenodo.23538956},
  url       = {https://doi.org/10.5281/zenodo.23538956},
  language  = {portuguese},
  note      = {English title: Sugarcane: A green sea over a fifth of the state. Licence CC BY 4.0}
}

No. 029 Energy · biomass Bioenergy in São Paulo 2/4

Livestock

Three herds, three geographies

Four panels of São Paulo state. Three maps show the municipalities coloured by the density of cattle, pigs and poultry (head per km², six classes of the plasma palette, from yellow to dark blue), with the three largest herds of each kind named; municipalities without data are hatched, nearly all of them in Greater São Paulo and on the Santos coast. The fourth panel holds the locator map, the leaf-shaped north arrow and notes on how to read the maps. — Fig. 029 São Paulo state (SP) EPSG:4674 Source: IBGE

In 2024, São Paulo state held 10.8 million cattle, 1.5 million pigs and 205 million poultry. Side by side, the three herds occupy the state in different ways: cattle spread across the west, led by Presidente Bernardes (151,407 head) and Mirante do Paranapanema (138,268); pigs gather in a few hubs, such as Itu and Cerqueira César, each with over 100,000 head; and poultry cluster in farms, with Bastos alone holding 13.7 million birds. For anyone thinking about biogas, density matters more than the total: many animals on little land also concentrate the manure. Second plate of the collection “Bioenergy in São Paulo”.

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At a glance

Layers

municipios polygon 645 municipalities: herd size and density (head/km²) of cattle, pigs and poultry
regioes_intermediarias polygon 11 intermediate geographic regions
limite_estadual polygon State boundary

Metadata

Sources: IBGE — Municipal Livestock Survey (PPM), table 3939: herd size (2024)
IBGE — Municipal Mesh 2025 (2025)
Extent: São Paulo state (SP)
CRS / Projection: SIRGAS 2000 (EPSG:4674)
EPSG:4674
Software: Python · GeoPandas · GDAL · QGIS · Node.js · d3-geo
Method: Cattle, pig and poultry numbers from PPM 2024 joined to the Municipal Mesh by IBGE code and divided by municipal area; six quantile classes.
Version: v1.0.0
Licence: CC BY 4.0
DOI: 10.5281/zenodo.23506048

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The map without a frame, with legend, scale, reference system and credit written on it: ready for papers, lectures and slides. In two versions: with the basemap (neighbours and sea) or only the mapped area, on white.

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Cerejo, L. N. (2026). Rebanhos: três rebanhos, três geografias [Livestock: Three herds, three geographies] (Version 1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.23506048

@dataset{cerejo2026_rebanhos_sp,
  author    = {Cerejo, Lucas Nakamura},
  title     = {Rebanhos: Três rebanhos, três geografias},
  year      = {2026},
  publisher = {Zenodo},
  version   = {1.0.0},
  doi       = {10.5281/zenodo.23506048},
  url       = {https://doi.org/10.5281/zenodo.23506048},
  language  = {portuguese},
  note      = {English title: Livestock: Three herds, three geographies. Licence CC BY 4.0}
}