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

Migration in São João do Itaperiú/SC (2017–2022)

São João do Itaperiú/SC had a reference population (aged 5 or over in 2022) of 4,115 people. In the 2017–2022 five-year period, the municipality received 1,075 in-migrants and lost 335 out-migrants to other municipalities in Brazil, resulting in a net migration of +735 people (179.18 per 1,000 population) and a migration effectiveness index (IEM) of 0.522. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for São João do Itaperiú/SC, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,075907 to 1,243good
Out-migrants335195 to 475use with caution
Net migration+735516 to 954not classified
Net migration rate, TLM (per 1,000 pop.)179.18--
Migration effectiveness index (IEM)0.522--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to São João do Itaperiú/SC
OriginPeoplePrecision
Barra Velha/SC · view pair in the atlas210use with caution
Joinville/SC · view pair in the atlas165use with caution
Guaramirim/SC · view pair in the atlas45low precision
Blumenau/SC · view pair in the atlas40low precision
Massaranduba/SC · view pair in the atlas40low precision
Itajaí/SC · view pair in the atlas40low precision
Navegantes/SC · view pair in the atlas30low precision
Luiz Alves/SC · view pair in the atlas30low precision
Maringá/PR · view pair in the atlas30low precision
Jaraguá do Sul/SC · view pair in the atlas25low precision
Top 10 destinations of out-migrants from São João do Itaperiú/SC
DestinationPeoplePrecision
Barra Velha/SC · view pair in the atlas60low precision
Massaranduba/SC · view pair in the atlas50low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration63559.1%100-499
First move from municipality of birth41038.1%100-499
Return to municipality of birth252.3%5-19
Other / suppressed50.5%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education26036.9%50-99
No schooling or incomplete elementary23533.3%50-99
Completed elementary, incomplete high school15021.3%50-99
Completed higher education608.5%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage43040.0%100-499
1 to 2 minimum wages35032.6%100-499
More than 2 minimum wages14513.5%20-49
¼ to ½ minimum wage12511.6%20-49
Up to ¼ of a minimum wage201.9%5-19
Other / suppressed50.5%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male16515.5%50-99
Ages 25–39, female14513.6%50-99
Ages 40–59, female14013.1%20-49
Ages 15–24, female11510.8%20-49
Ages 40–59, male11510.8%20-49
Ages 5–14, male858.0%20-49
Ages 5–14, female858.0%20-49
Ages 15–24, male807.5%20-49
Ages 60 and over, male706.6%20-49
Ages 60 and over, female656.1%20-49

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration24070.6%20-49
Return to municipality of birth5516.2%5-19
First move from municipality of birth4513.2%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary8544.7%5-19
Completed high school, incomplete higher education6534.2%5-19
Other / suppressed4021.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages15044.8%5-19
More than 2 minimum wages8023.9%5-19
½ to 1 minimum wage5516.4%5-19
Up to ¼ of a minimum wage309.0%5-19
Other / suppressed206.0%<5
Age and sex
CategoryEstimateShareSample
Other / suppressed7522.4%5-19
Ages 15–24, female6519.4%5-19
Ages 25–39, male6519.4%5-19
Ages 15–24, male4513.4%5-19
Ages 40–59, female309.0%5-19
Ages 40–59, male309.0%5-19
Ages 60 and over, female257.5%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary99045.7%100-499
Completed high school, incomplete higher education60027.7%100-499
Completed elementary, incomplete high school41018.9%100-499
Completed higher education1657.6%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,24036.6%100-499
1 to 2 minimum wages1,21035.7%100-499
More than 2 minimum wages56016.5%100-499
¼ to ½ minimum wage36010.6%100-499
Up to ¼ of a minimum wage200.6%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male46515.3%100-499
Ages 40–59, female39513.0%100-499
Ages 25–39, male37012.2%100-499
Ages 25–39, female36011.8%100-499
Ages 60 and over, male2909.5%50-99
Ages 60 and over, female2909.5%50-99
Ages 15–24, male2407.9%50-99
Ages 5–14, female2357.7%50-99
Ages 5–14, male2157.1%50-99
Ages 15–24, female1805.9%50-99

Commuting (work and study)

Commuting indicators for São João do Itaperiú/SC
Employed persons (aged 10 and over)2,140
Commute out to work in another municipality260
Commute in from another municipality to work here515
Net commuting+260
Out-commuting rate (%)12.04
Commuting attraction index1.081
Median commuting time25 min

This municipality is part of Região Metropolitana de Jaraguá do Sul → see the metropolitan region page

Open São João do Itaperiú/SC 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]: São João do Itaperiú/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-joao-do-itaperiu-sc-4216354/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.