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

Migration in Ponte Alta/SC (2017–2022)

Ponte Alta/SC had a reference population (aged 5 or over in 2022) of 4,165 people. In the 2017–2022 five-year period, the municipality received 405 in-migrants and lost 505 out-migrants to other municipalities in Brazil, resulting in a net migration of −100 people (−23.91 per 1,000 population) and a migration effectiveness index (IEM) of −0.110. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Ponte Alta/SC, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants405304 to 506good
Out-migrants505352 to 658use with caution
Net migration−100−283 to 83not classified
Net migration rate, TLM (per 1,000 pop.)−23.91--
Migration effectiveness index (IEM)−0.110--

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 Ponte Alta/SC
OriginPeoplePrecision
Lages/SC · view pair in the atlas45low precision
Correia Pinto/SC · view pair in the atlas45low precision
Curitibanos/SC · view pair in the atlas40low precision
São Cristóvão do Sul/SC · view pair in the atlas35low precision
Otacílio Costa/SC · view pair in the atlas25low precision
Blumenau/SC · view pair in the atlas20low precision
Jaraguá do Sul/SC · view pair in the atlas15low precision
Indaial/SC · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Ponte Alta/SC
DestinationPeoplePrecision
Correia Pinto/SC · view pair in the atlas160use with caution
Lages/SC · view pair in the atlas50low precision
Curitibanos/SC · view pair in the atlas35low precision
São Cristóvão do Sul/SC · view pair in the atlas35low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration17543.2%50-99
First move from municipality of birth11528.4%20-49
Return to municipality of birth11528.4%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary11543.4%20-49
Completed high school, incomplete higher education7528.3%20-49
Completed elementary, incomplete high school6524.5%20-49
Other / suppressed103.8%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage14035.0%20-49
¼ to ½ minimum wage8521.2%20-49
1 to 2 minimum wages8020.0%20-49
More than 2 minimum wages5012.5%5-19
Up to ¼ of a minimum wage4511.2%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, female5513.8%5-19
Ages 40–59, male5513.8%5-19
Ages 25–39, male5012.5%5-19
Ages 25–39, female4010.0%5-19
Ages 60 and over, female358.8%5-19
Ages 5–14, male358.8%5-19
Ages 5–14, female358.8%5-19
Ages 15–24, male358.8%5-19
Ages 15–24, female358.8%5-19
Ages 60 and over, male256.2%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration22545.0%20-49
First move from municipality of birth20541.0%20-49
Return to municipality of birth6513.0%5-19
Other / suppressed51.0%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary13549.1%20-49
Completed high school, incomplete higher education8530.9%5-19
Completed higher education3512.7%5-19
Completed elementary, incomplete high school207.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages19538.2%20-49
¼ to ½ minimum wage10520.6%5-19
½ to 1 minimum wage9017.6%5-19
More than 2 minimum wages6512.7%5-19
Up to ¼ of a minimum wage5510.8%5-19
Age and sex
CategoryEstimateShareSample
Ages 15–24, female9518.8%5-19
Ages 25–39, male8015.8%5-19
Ages 25–39, female7514.9%5-19
Ages 5–14, male7514.9%5-19
Ages 40–59, male5510.9%5-19
Ages 60 and over, female356.9%5-19
Ages 15–24, male356.9%5-19
Other / suppressed305.9%5-19
Ages 5–14, female255.0%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,38552.4%100-499
Completed high school, incomplete higher education70526.7%100-499
Completed elementary, incomplete high school34513.0%100-499
Completed higher education2107.9%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,60539.8%>=500
1 to 2 minimum wages1,08526.9%100-499
¼ to ½ minimum wage66516.5%100-499
More than 2 minimum wages40510.0%100-499
Up to ¼ of a minimum wage2756.8%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, female55014.6%100-499
Ages 40–59, male54014.3%100-499
Ages 60 and over, female40010.6%100-499
Ages 25–39, female40010.6%100-499
Ages 25–39, male38510.2%100-499
Ages 60 and over, male3709.8%100-499
Ages 15–24, male3308.8%100-499
Ages 15–24, female2757.3%50-99
Ages 5–14, male2606.9%50-99
Ages 5–14, female2556.8%50-99

Commuting (work and study)

Commuting indicators for Ponte Alta/SC
Employed persons (aged 10 and over)1,695
Commute out to work in another municipality285
Commute in from another municipality to work here130
Net commuting−155
Out-commuting rate (%)16.78
Commuting attraction index0.902
Median commuting time32 min

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

Open Ponte Alta/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]: Ponte Alta/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/ponte-alta-sc-4213302/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.