Migration in Irineópolis/SC (2017–2022)

Irineópolis/SC had a reference population (aged 5 or over in 2022) of 9,595 people. In the 2017–2022 five-year period, the municipality received 635 in-migrants and lost 635 out-migrants to other municipalities in Brazil, resulting in a net migration of 0 people (0.10 per 1,000 population) and a migration effectiveness index (IEM) of 0.001. This classifies the municipality, for the period, as one of migratory balance.

Indicators

Migration indicators for Irineópolis/SC, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	635	467 to 803	good
Out-migrants	635	432 to 838	use with caution
Net migration	0	−264 to 264	not classified
Net migration rate, TLM (per 1,000 pop.)	0.10	-	-
Migration effectiveness index (IEM)	0.001	-	-

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 Irineópolis/SC
Origin	People	Precision
Canoinhas/SC · view pair in the atlas	90	use with caution
Curitiba/PR · view pair in the atlas	65	low precision
Porto União/SC · view pair in the atlas	40	low precision
Mafra/SC · view pair in the atlas	35	low precision
União da Vitória/PR · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from Irineópolis/SC
Destination	People	Precision
Porto União/SC · view pair in the atlas	165	low precision
Canoinhas/SC · view pair in the atlas	60	low precision
Jaraguá do Sul/SC · view pair in the atlas	55	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	285	44.9%	50-99
Multi-step migration	215	33.9%	20-49
Return to municipality of birth	135	21.3%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	145	35.4%	20-49
Completed high school, incomplete higher education	130	31.7%	20-49
No schooling or incomplete elementary	80	19.5%	5-19
Completed elementary, incomplete high school	55	13.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	160	25.2%	20-49
More than 2 minimum wages	155	24.4%	20-49
¼ to ½ minimum wage	125	19.7%	20-49
½ to 1 minimum wage	100	15.7%	20-49
Up to ¼ of a minimum wage	95	15.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	145	23.0%	20-49
Ages 25–39, male	140	22.2%	20-49
Ages 5–14, male	70	11.1%	5-19
Ages 15–24, female	65	10.3%	5-19
Ages 5–14, female	50	7.9%	5-19
Ages 40–59, male	45	7.1%	5-19
Ages 40–59, female	40	6.3%	5-19
Ages 15–24, male	35	5.6%	5-19
Ages 60 and over, male	30	4.8%	5-19
Other / suppressed	10	1.6%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	285	44.9%	20-49
First move from municipality of birth	265	41.7%	20-49
Return to municipality of birth	85	13.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	115	33.3%	5-19
Completed high school, incomplete higher education	90	26.1%	5-19
Completed elementary, incomplete high school	70	20.3%	5-19
No schooling or incomplete elementary	70	20.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	240	37.8%	20-49
More than 2 minimum wages	155	24.4%	5-19
1 to 2 minimum wages	155	24.4%	20-49
Up to ¼ of a minimum wage	50	7.9%	5-19
Other / suppressed	35	5.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	135	21.1%	5-19
Ages 15–24, female	130	20.3%	5-19
Ages 25–39, male	95	14.8%	5-19
Ages 5–14, female	75	11.7%	5-19
Ages 5–14, male	45	7.0%	5-19
Ages 40–59, female	40	6.2%	5-19
Ages 40–59, male	40	6.2%	5-19
Ages 15–24, male	40	6.2%	5-19
Other / suppressed	40	6.2%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,350	53.7%	>=500
Completed high school, incomplete higher education	1,395	22.4%	100-499
Completed elementary, incomplete high school	890	14.3%	100-499
Completed higher education	600	9.6%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,815	29.2%	>=500
1 to 2 minimum wages	2,300	23.8%	100-499
¼ to ½ minimum wage	1,625	16.8%	100-499
Up to ¼ of a minimum wage	1,540	16.0%	100-499
More than 2 minimum wages	1,340	13.9%	100-499
Not applicable (collective dwelling)	35	0.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,435	16.0%	100-499
Ages 40–59, female	1,315	14.7%	100-499
Ages 25–39, male	980	10.9%	100-499
Ages 25–39, female	955	10.7%	100-499
Ages 60 and over, female	790	8.8%	100-499
Ages 60 and over, male	760	8.5%	100-499
Ages 15–24, male	745	8.3%	100-499
Ages 15–24, female	700	7.8%	100-499
Ages 5–14, male	645	7.2%	100-499
Ages 5–14, female	635	7.1%	100-499

Commuting (work and study)

Commuting indicators for Irineópolis/SC
Employed persons (aged 10 and over)	4,125
Commute out to work in another municipality	180
Commute in from another municipality to work here	250
Net commuting	+70
Out-commuting rate (%)	4.37
Commuting attraction index	1.006
Median commuting time	40 min

This municipality is part of Região Metropolitana do Planalto Norte → see the metropolitan region page

Open Irineópolis/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]: Irineópolis/SC. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/irineopolis-sc-4207908/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.