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

Migration in Sangão/SC (2017–2022)

Sangão/SC had a reference population (aged 5 or over in 2022) of 11,920 people. In the 2017–2022 five-year period, the municipality received 745 in-migrants and lost 560 out-migrants to other municipalities in Brazil, resulting in a net migration of +185 people (15.51 per 1,000 population) and a migration effectiveness index (IEM) of 0.141. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 10 came from abroad.

Indicators

Migration indicators for Sangão/SC, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants745557 to 933good
Out-migrants560340 to 780use with caution
Net migration+185−104 to 474not classified
Net migration rate, TLM (per 1,000 pop.)15.51--
Migration effectiveness index (IEM)0.141--

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Sangão/SC
OriginPeoplePrecision
Jaguaruna/SC · view pair in the atlas80low precision
Treze de Maio/SC · view pair in the atlas55low precision
Criciúma/SC · view pair in the atlas50low precision
Içara/SC · view pair in the atlas40low precision
Morro da Fumaça/SC · view pair in the atlas40low precision
Tubarão/SC · view pair in the atlas35low precision
Porto Alegre/RS · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Sangão/SC
DestinationPeoplePrecision
Jaguaruna/SC · view pair in the atlas165low precision
Içara/SC · view pair in the atlas105low precision
Morro da Fumaça/SC · view pair in the atlas70low precision
Treze de Maio/SC · view pair in the atlas50low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth43558.4%50-99
Multi-step migration28538.3%50-99
Other / suppressed253.4%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary17041.5%20-49
Completed high school, incomplete higher education11026.8%20-49
Completed elementary, incomplete high school10024.4%20-49
Completed higher education307.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage28037.6%50-99
1 to 2 minimum wages26535.6%20-49
More than 2 minimum wages10514.1%20-49
¼ to ½ minimum wage608.1%5-19
Up to ¼ of a minimum wage354.7%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male15020.0%20-49
Ages 15–24, female10514.0%5-19
Ages 15–24, male10514.0%5-19
Ages 25–39, female10514.0%20-49
Ages 5–14, male10013.3%20-49
Ages 40–59, female709.3%5-19
Ages 40–59, male608.0%5-19
Ages 5–14, female304.0%5-19
Other / suppressed253.3%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration39069.6%50-99
First move from municipality of birth11019.6%5-19
Return to municipality of birth6010.7%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary11534.8%5-19
Completed elementary, incomplete high school11033.3%5-19
Completed higher education6519.7%5-19
Completed high school, incomplete higher education4012.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages18031.9%20-49
More than 2 minimum wages15527.4%5-19
½ to 1 minimum wage12021.2%20-49
¼ to ½ minimum wage9516.8%5-19
Other / suppressed152.7%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female12021.2%5-19
Ages 25–39, female11019.5%5-19
Ages 25–39, male7513.3%5-19
Ages 40–59, female7012.4%5-19
Ages 40–59, male6010.6%5-19
Ages 15–24, male407.1%5-19
Ages 5–14, female407.1%5-19
Ages 5–14, male356.2%5-19
Other / suppressed152.7%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,96053.3%>=500
Completed high school, incomplete higher education1,70022.9%100-499
Completed elementary, incomplete high school1,19016.0%100-499
Completed higher education5757.7%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages4,72539.0%>=500
½ to 1 minimum wage4,28535.4%>=500
¼ to ½ minimum wage1,2059.9%100-499
More than 2 minimum wages1,1859.8%100-499
Up to ¼ of a minimum wage7055.8%100-499
Other / suppressed150.1%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,52513.7%100-499
Ages 25–39, male1,49013.4%100-499
Ages 40–59, female1,46513.1%100-499
Ages 25–39, female1,44012.9%100-499
Ages 5–14, female9858.8%100-499
Ages 15–24, male9258.3%100-499
Ages 5–14, male9108.2%100-499
Ages 15–24, female8757.8%100-499
Ages 60 and over, female7506.7%100-499
Ages 60 and over, male6956.2%100-499
Other / suppressed1000.9%5-19

Commuting (work and study)

Commuting indicators for Sangão/SC
Employed persons (aged 10 and over)6,330
Commute out to work in another municipality335
Commute in from another municipality to work here775
Net commuting+440
Out-commuting rate (%)5.26
Commuting attraction index1.033
Median commuting time20 min

This municipality is part of Região Metropolitana de Tubarão → see the metropolitan region page

Open Sangão/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]: Sangão/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sangao-sc-4215455/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.