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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Severínia/SP (2017–2022)

Severínia/SP had a reference population (aged 5 or over in 2022) of 13,680 people. In the 2017–2022 five-year period, the municipality received 625 in-migrants and lost 1,035 out-migrants to other municipalities in Brazil, resulting in a net migration of −405 people (−29.75 per 1,000 population) and a migration effectiveness index (IEM) of −0.245. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Severínia/SP, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants625466 to 784good
Out-migrants1,035756 to 1,314good
Net migration−405−726 to −84not classified
Net migration rate, TLM (per 1,000 pop.)−29.75--
Migration effectiveness index (IEM)−0.245--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Severínia/SP
OriginPeoplePrecision
Cajobi/SP · view pair in the atlas40low precision
São Paulo/SP · view pair in the atlas35low precision
Riacho de Santana/BA · view pair in the atlas35low precision
Livramento de Nossa Senhora/BA · view pair in the atlas30low precision
Monte Azul Paulista/SP · view pair in the atlas30low precision
Olímpia/SP · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Severínia/SP
DestinationPeoplePrecision
Olímpia/SP · view pair in the atlas270use with caution
Cajobi/SP · view pair in the atlas135low precision
Monte Azul Paulista/SP · view pair in the atlas85low precision
Barretos/SP · view pair in the atlas75low precision
Ibirá/SP · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth35556.8%50-99
Multi-step migration24539.2%20-49
Return to municipality of birth254.0%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education15538.8%20-49
No schooling or incomplete elementary13533.8%20-49
Completed elementary, incomplete high school8521.2%5-19
Completed higher education256.2%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage21033.6%20-49
1 to 2 minimum wages20032.0%20-49
¼ to ½ minimum wage10016.0%5-19
More than 2 minimum wages7011.2%5-19
Up to ¼ of a minimum wage457.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male16526.4%20-49
Ages 25–39, female12520.0%20-49
Ages 15–24, male9515.2%5-19
Ages 5–14, female508.0%5-19
Ages 15–24, female457.2%5-19
Ages 5–14, male406.4%5-19
Ages 40–59, female355.6%5-19
Ages 60 and over, female304.8%5-19
Ages 40–59, male254.0%5-19
Other / suppressed152.4%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration64061.5%100-499
Return to municipality of birth24523.6%20-49
First move from municipality of birth14513.9%20-49
Other / suppressed101.0%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education24538.0%20-49
No schooling or incomplete elementary21533.3%20-49
Completed elementary, incomplete high school11517.8%20-49
Completed higher education7010.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage36535.4%50-99
1 to 2 minimum wages29028.2%20-49
Up to ¼ of a minimum wage14514.1%5-19
¼ to ½ minimum wage12011.7%20-49
More than 2 minimum wages959.2%5-19
Other / suppressed151.5%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male20019.1%20-49
Ages 25–39, female16515.8%20-49
Ages 40–59, male13012.4%5-19
Ages 40–59, female11511.0%20-49
Ages 5–14, male11010.5%5-19
Ages 15–24, female11010.5%5-19
Ages 5–14, female959.1%5-19
Ages 15–24, male807.7%5-19
Ages 60 and over, male353.3%5-19
Other / suppressed50.5%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary4,05043.8%>=500
Completed high school, incomplete higher education2,81030.4%>=500
Completed elementary, incomplete high school1,28513.9%100-499
Completed higher education1,10011.9%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage5,27537.8%>=500
1 to 2 minimum wages4,83534.7%>=500
¼ to ½ minimum wage1,81513.0%100-499
More than 2 minimum wages1,3459.6%100-499
Up to ¼ of a minimum wage6554.7%100-499
Other / suppressed250.2%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,98515.2%100-499
Ages 40–59, female1,88014.4%100-499
Ages 25–39, male1,57512.1%100-499
Ages 25–39, female1,51511.6%100-499
Ages 60 and over, female1,2009.2%100-499
Ages 60 and over, male1,1008.4%100-499
Ages 15–24, male1,0808.3%100-499
Ages 15–24, female9857.5%100-499
Ages 5–14, male9307.1%100-499
Ages 5–14, female8156.2%100-499

Commuting (work and study)

Commuting indicators for Severínia/SP
Employed persons (aged 10 and over)7,185
Commute out to work in another municipality1,755
Commute in from another municipality to work here340
Net commuting−1,410
Out-commuting rate (%)24.42
Commuting attraction index0.753
Median commuting time45 min

This municipality is part of Região Metropolitana de São José do Rio Preto → see the metropolitan region page

Open Severínia/SP in the interactive atlas →

Methodological note

Estimates from the sample microdata of the 2022 Demographic Census (IBGE, controlled access), fixed-date migration question (residence on July 31, 2017 compared with residence on July 31, 2022). Every estimate is rounded to multiples of 5 and has passed statistical disclosure control (no cell with fewer than 5 people or 3 sampled households). See the full methodology and the glossary.

How to cite this page

Daniel Pessini Sobreira. Atlas da migração interna no Brasil [Atlas of internal migration in Brazil]: Severínia/SP. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/severinia-sp-3551900/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.