Migration in Paula Freitas/PR (2017–2022)

Paula Freitas/PR had a reference population (aged 5 or over in 2022) of 5,345 people. In the 2017–2022 five-year period, the municipality received 555 in-migrants and lost 355 out-migrants to other municipalities in Brazil, resulting in a net migration of +200 people (37.33 per 1,000 population) and a migration effectiveness index (IEM) of 0.220. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Paula Freitas/PR, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	555	438 to 672	good
Out-migrants	355	168 to 542	use with caution
Net migration	+200	−21 to 421	not classified
Net migration rate, TLM (per 1,000 pop.)	37.33	-	-
Migration effectiveness index (IEM)	0.220	-	-

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 Paula Freitas/PR
Origin	People	Precision
União da Vitória/PR · view pair in the atlas	180	use with caution
Paulo Frontin/PR · view pair in the atlas	90	low precision
Curitiba/PR · view pair in the atlas	70	low precision
Porto União/SC · view pair in the atlas	25	low precision
Cruz Machado/PR · view pair in the atlas	20	low precision
Jaraguá do Sul/SC · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Paula Freitas/PR
Destination	People	Precision
União da Vitória/PR · view pair in the atlas	85	low precision
Paulo Frontin/PR · view pair in the atlas	45	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	255	45.9%	50-99
First move from municipality of birth	245	44.1%	50-99
Return to municipality of birth	50	9.0%	5-19
Other / suppressed	5	0.9%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	150	41.1%	50-99
No schooling or incomplete elementary	110	30.1%	20-49
Completed elementary, incomplete high school	70	19.2%	20-49
Completed higher education	35	9.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	190	34.2%	50-99
¼ to ½ minimum wage	155	27.9%	50-99
½ to 1 minimum wage	115	20.7%	20-49
More than 2 minimum wages	75	13.5%	20-49
Up to ¼ of a minimum wage	20	3.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	110	20.0%	20-49
Ages 25–39, male	80	14.5%	20-49
Ages 40–59, male	75	13.6%	20-49
Ages 40–59, female	60	10.9%	20-49
Ages 5–14, female	55	10.0%	5-19
Ages 15–24, female	50	9.1%	5-19
Ages 15–24, male	40	7.3%	5-19
Ages 5–14, male	40	7.3%	5-19
Ages 60 and over, female	20	3.6%	5-19
Ages 60 and over, male	20	3.6%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	255	71.8%	20-49
First move from municipality of birth	65	18.3%	5-19
Other / suppressed	35	9.9%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	60	30.8%	5-19
Completed elementary, incomplete high school	55	28.2%	5-19
No schooling or incomplete elementary	40	20.5%	5-19
Completed higher education	40	20.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	145	41.4%	5-19
1 to 2 minimum wages	100	28.6%	5-19
¼ to ½ minimum wage	55	15.7%	5-19
More than 2 minimum wages	50	14.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	85	23.9%	5-19
Ages 25–39, female	65	18.3%	5-19
Ages 15–24, female	65	18.3%	5-19
Ages 25–39, male	60	16.9%	5-19
Ages 15–24, male	45	12.7%	5-19
Ages 5–14, male	35	9.9%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,825	52.6%	>=500
Completed high school, incomplete higher education	780	22.5%	100-499
Completed elementary, incomplete high school	570	16.4%	100-499
Completed higher education	295	8.5%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,800	35.3%	>=500
1 to 2 minimum wages	1,585	31.0%	>=500
More than 2 minimum wages	795	15.6%	100-499
¼ to ½ minimum wage	705	13.8%	100-499
Up to ¼ of a minimum wage	220	4.3%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	780	16.3%	100-499
Ages 40–59, female	715	15.0%	100-499
Ages 60 and over, female	500	10.5%	100-499
Ages 60 and over, male	500	10.5%	100-499
Ages 25–39, male	495	10.4%	100-499
Ages 25–39, female	470	9.8%	100-499
Ages 15–24, male	375	7.9%	100-499
Ages 5–14, male	335	7.0%	100-499
Ages 15–24, female	310	6.5%	100-499
Ages 5–14, female	295	6.2%	50-99

Commuting (work and study)

Commuting indicators for Paula Freitas/PR
Employed persons (aged 10 and over)	3,030
Commute out to work in another municipality	290
Commute in from another municipality to work here	215
Net commuting	−80
Out-commuting rate (%)	9.65
Commuting attraction index	0.952
Median commuting time	30 min

Open Paula Freitas/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]: Paula Freitas/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/paula-freitas-pr-4118600/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.