Migration in Pérola d'Oeste/PR (2017–2022)

Pérola d'Oeste/PR had a reference population (aged 5 or over in 2022) of 5,840 people. In the 2017–2022 five-year period, the municipality received 475 in-migrants and lost 365 out-migrants to other municipalities in Brazil, resulting in a net migration of +115 people (19.34 per 1,000 population) and a migration effectiveness index (IEM) of 0.135. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Pérola d'Oeste/PR, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	475	363 to 587	good
Out-migrants	365	232 to 498	use with caution
Net migration	+115	−59 to 289	not classified
Net migration rate, TLM (per 1,000 pop.)	19.34	-	-
Migration effectiveness index (IEM)	0.135	-	-

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 Pérola d'Oeste/PR
Origin	People	Precision
Bela Vista da Caroba/PR · view pair in the atlas	75	low precision
Pranchita/PR · view pair in the atlas	45	low precision
Planalto/PR · view pair in the atlas	35	low precision
Santo Antônio do Sudoeste/PR · view pair in the atlas	30	low precision
Realeza/PR · view pair in the atlas	25	low precision
Foz do Iguaçu/PR · view pair in the atlas	25	low precision
Capanema/PR · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Pérola d'Oeste/PR
Destination	People	Precision
Capanema/PR · view pair in the atlas	55	low precision
Realeza/PR · view pair in the atlas	50	low precision
Planalto/PR · view pair in the atlas	30	low precision
Pranchita/PR · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	180	37.9%	50-99
First move from municipality of birth	160	33.7%	50-99
Return to municipality of birth	130	27.4%	20-49
Other / suppressed	5	1.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	110	36.1%	20-49
Completed high school, incomplete higher education	95	31.1%	20-49
Completed elementary, incomplete high school	50	16.4%	5-19
Completed higher education	50	16.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	135	28.7%	20-49
½ to 1 minimum wage	115	24.5%	20-49
More than 2 minimum wages	110	23.4%	20-49
¼ to ½ minimum wage	75	16.0%	20-49
Up to ¼ of a minimum wage	35	7.4%	5-19
Other / suppressed	0	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	80	16.8%	20-49
Ages 25–39, male	75	15.8%	20-49
Ages 25–39, female	70	14.7%	20-49
Ages 40–59, male	55	11.6%	5-19
Ages 40–59, female	50	10.5%	5-19
Ages 15–24, male	35	7.4%	5-19
Ages 60 and over, male	30	6.3%	5-19
Ages 5–14, male	30	6.3%	5-19
Ages 60 and over, female	25	5.3%	5-19
Ages 5–14, female	25	5.3%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	195	53.4%	20-49
Multi-step migration	135	37.0%	20-49
Return to municipality of birth	35	9.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	80	45.7%	5-19
Completed higher education	45	25.7%	5-19
No schooling or incomplete elementary	40	22.9%	5-19
Other / suppressed	10	5.7%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	135	37.0%	5-19
1 to 2 minimum wages	110	30.1%	20-49
½ to 1 minimum wage	95	26.0%	5-19
Other / suppressed	25	6.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	90	25.0%	5-19
Ages 25–39, male	65	18.1%	5-19
Ages 25–39, female	60	16.7%	5-19
Other / suppressed	60	16.7%	5-19
Ages 15–24, female	45	12.5%	5-19
Ages 5–14, male	20	5.6%	5-19
Ages 40–59, male	20	5.6%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,065	50.5%	>=500
Completed high school, incomplete higher education	1,070	26.2%	100-499
Completed elementary, incomplete high school	480	11.7%	100-499
Completed higher education	475	11.6%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	1,900	33.1%	>=500
½ to 1 minimum wage	1,625	28.3%	>=500
More than 2 minimum wages	1,560	27.2%	>=500
¼ to ½ minimum wage	515	9.0%	100-499
Up to ¼ of a minimum wage	140	2.4%	20-49
Other / suppressed	5	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	830	15.5%	100-499
Ages 40–59, male	790	14.7%	100-499
Ages 60 and over, female	745	13.9%	100-499
Ages 60 and over, male	700	13.0%	100-499
Ages 25–39, male	535	10.0%	100-499
Ages 25–39, female	500	9.3%	100-499
Ages 15–24, male	340	6.3%	100-499
Ages 5–14, male	335	6.2%	100-499
Ages 15–24, female	310	5.8%	100-499
Ages 5–14, female	280	5.2%	50-99

Commuting (work and study)

Commuting indicators for Pérola d'Oeste/PR
Employed persons (aged 10 and over)	3,325
Commute out to work in another municipality	225
Commute in from another municipality to work here	55
Net commuting	−170
Out-commuting rate (%)	6.75
Commuting attraction index	0.923
Median commuting time	30 min

Open Pérola d'Oeste/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]: Pérola d'Oeste/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/perola-d-oeste-pr-4119004/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.