Migration in Mariópolis/PR (2017–2022)

Mariópolis/PR had a reference population (aged 5 or over in 2022) of 5,935 people. In the 2017–2022 five-year period, the municipality received 605 in-migrants and lost 480 out-migrants to other municipalities in Brazil, resulting in a net migration of +125 people (20.69 per 1,000 population) and a migration effectiveness index (IEM) of 0.113. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Mariópolis/PR, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	605	486 to 724	good
Out-migrants	480	302 to 658	use with caution
Net migration	+125	−89 to 339	not classified
Net migration rate, TLM (per 1,000 pop.)	20.69	-	-
Migration effectiveness index (IEM)	0.113	-	-

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 Mariópolis/PR
Origin	People	Precision
Pato Branco/PR · view pair in the atlas	150	use with caution
Clevelândia/PR · view pair in the atlas	65	use with caution
Curitiba/PR · view pair in the atlas	40	low precision
Brusque/SC · view pair in the atlas	25	low precision
Florianópolis/SC · view pair in the atlas	25	low precision
Caçador/SC · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Mariópolis/PR
Destination	People	Precision
Pato Branco/PR · view pair in the atlas	125	low precision
Vitorino/PR · view pair in the atlas	45	low precision
Abelardo Luz/SC · view pair in the atlas	30	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	295	48.8%	50-99
Multi-step migration	235	38.8%	50-99
Return to municipality of birth	75	12.4%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	130	34.7%	20-49
Completed high school, incomplete higher education	110	29.3%	20-49
Completed elementary, incomplete high school	85	22.7%	20-49
Completed higher education	50	13.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	170	28.3%	50-99
½ to 1 minimum wage	165	27.5%	50-99
More than 2 minimum wages	125	20.8%	20-49
¼ to ½ minimum wage	105	17.5%	20-49
Up to ¼ of a minimum wage	35	5.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	100	16.7%	20-49
Ages 25–39, male	80	13.3%	20-49
Ages 5–14, male	75	12.5%	20-49
Ages 40–59, male	70	11.7%	20-49
Ages 15–24, female	60	10.0%	20-49
Ages 15–24, male	55	9.2%	5-19
Ages 40–59, female	50	8.3%	5-19
Ages 60 and over, male	40	6.7%	5-19
Ages 5–14, female	35	5.8%	5-19
Ages 60 and over, female	35	5.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	250	52.1%	20-49
First move from municipality of birth	155	32.3%	20-49
Return to municipality of birth	75	15.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	105	42.9%	5-19
Completed high school, incomplete higher education	80	32.7%	5-19
Completed elementary, incomplete high school	35	14.3%	5-19
Other / suppressed	25	10.2%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	180	37.5%	20-49
1 to 2 minimum wages	165	34.4%	20-49
More than 2 minimum wages	65	13.5%	5-19
¼ to ½ minimum wage	50	10.4%	5-19
Other / suppressed	20	4.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	100	21.3%	5-19
Ages 25–39, male	75	16.0%	5-19
Ages 40–59, male	60	12.8%	5-19
Ages 15–24, female	60	12.8%	5-19
Ages 25–39, female	45	9.6%	5-19
Ages 5–14, female	40	8.5%	5-19
Ages 40–59, female	35	7.4%	5-19
Ages 5–14, male	35	7.4%	5-19
Ages 60 and over, male	15	3.2%	5-19
Other / suppressed	5	1.1%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,870	47.7%	>=500
Completed high school, incomplete higher education	830	21.2%	100-499
Completed elementary, incomplete high school	715	18.2%	100-499
Completed higher education	505	12.9%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,755	30.5%	>=500
1 to 2 minimum wages	1,655	28.8%	>=500
More than 2 minimum wages	1,360	23.6%	100-499
¼ to ½ minimum wage	645	11.2%	100-499
Up to ¼ of a minimum wage	340	5.9%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	805	15.1%	100-499
Ages 40–59, male	750	14.1%	100-499
Ages 60 and over, female	655	12.3%	100-499
Ages 60 and over, male	610	11.5%	100-499
Ages 25–39, female	555	10.4%	100-499
Ages 25–39, male	545	10.3%	100-499
Ages 5–14, male	365	6.9%	100-499
Ages 5–14, female	355	6.7%	100-499
Ages 15–24, male	350	6.6%	100-499
Ages 15–24, female	325	6.1%	100-499

Commuting (work and study)

Commuting indicators for Mariópolis/PR
Employed persons (aged 10 and over)	3,140
Commute out to work in another municipality	505
Commute in from another municipality to work here	130
Net commuting	−375
Out-commuting rate (%)	16.14
Commuting attraction index	0.851
Median commuting time	40 min

Open Mariópolis/PR 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]: Mariópolis/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/mariopolis-pr-4115309/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.