Migration in São Tomé/PR (2017–2022)

São Tomé/PR had a reference population (aged 5 or over in 2022) of 4,940 people. In the 2017–2022 five-year period, the municipality received 465 in-migrants and lost 400 out-migrants to other municipalities in Brazil, resulting in a net migration of +65 people (13.40 per 1,000 population) and a migration effectiveness index (IEM) of 0.077. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for São Tomé/PR, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	465	366 to 564	good
Out-migrants	400	262 to 538	use with caution
Net migration	+65	−105 to 235	not classified
Net migration rate, TLM (per 1,000 pop.)	13.40	-	-
Migration effectiveness index (IEM)	0.077	-	-

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 São Tomé/PR
Origin	People	Precision
Cianorte/PR · view pair in the atlas	100	use with caution
Japurá/PR · view pair in the atlas	60	use with caution
Curitiba/PR · view pair in the atlas	25	low precision
Tapejara/PR · view pair in the atlas	20	low precision
Rondon/PR · view pair in the atlas	20	low precision
Maringá/PR · view pair in the atlas	20	low precision
Cidade Gaúcha/PR · view pair in the atlas	15	low precision
São Paulo/SP · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from São Tomé/PR
Destination	People	Precision
Japurá/PR · view pair in the atlas	110	low precision
Cianorte/PR · view pair in the atlas	70	low precision
Indianópolis/PR · view pair in the atlas	25	low precision
São Manoel do Paraná/PR · view pair in the atlas	10	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	290	62.4%	100-499
First move from municipality of birth	155	33.3%	50-99
Return to municipality of birth	20	4.3%	5-19
Other / suppressed	0	0.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	115	36.5%	50-99
No schooling or incomplete elementary	115	36.5%	20-49
Completed elementary, incomplete high school	65	20.6%	20-49
Completed higher education	20	6.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	180	38.7%	50-99
¼ to ½ minimum wage	120	25.8%	50-99
1 to 2 minimum wages	90	19.4%	20-49
More than 2 minimum wages	40	8.6%	5-19
Up to ¼ of a minimum wage	35	7.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	75	16.1%	20-49
Ages 25–39, female	70	15.1%	20-49
Ages 40–59, female	65	14.0%	20-49
Ages 40–59, male	55	11.8%	20-49
Ages 15–24, female	45	9.7%	5-19
Ages 15–24, male	35	7.5%	5-19
Ages 60 and over, male	35	7.5%	5-19
Ages 5–14, male	35	7.5%	5-19
Ages 5–14, female	30	6.5%	5-19
Ages 60 and over, female	20	4.3%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	250	62.5%	20-49
First move from municipality of birth	125	31.2%	20-49
Return to municipality of birth	25	6.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	120	46.2%	20-49
Completed high school, incomplete higher education	75	28.8%	5-19
Completed elementary, incomplete high school	45	17.3%	5-19
Other / suppressed	20	7.7%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	130	32.5%	20-49
½ to 1 minimum wage	125	31.2%	20-49
¼ to ½ minimum wage	60	15.0%	5-19
More than 2 minimum wages	45	11.2%	5-19
Other / suppressed	40	10.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	90	23.1%	5-19
Other / suppressed	85	21.8%	5-19
Ages 25–39, female	65	16.7%	5-19
Ages 5–14, female	60	15.4%	5-19
Ages 40–59, male	35	9.0%	5-19
Ages 15–24, female	30	7.7%	5-19
Ages 40–59, female	25	6.4%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,480	45.7%	>=500
Completed high school, incomplete higher education	890	27.5%	100-499
Completed elementary, incomplete high school	465	14.4%	100-499
Completed higher education	400	12.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,720	36.1%	>=500
1 to 2 minimum wages	1,465	30.7%	>=500
¼ to ½ minimum wage	760	15.9%	100-499
More than 2 minimum wages	525	11.0%	100-499
Up to ¼ of a minimum wage	295	6.2%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	685	15.3%	100-499
Ages 40–59, male	680	15.2%	100-499
Ages 25–39, female	490	10.9%	100-499
Ages 60 and over, female	485	10.8%	100-499
Ages 25–39, male	460	10.3%	100-499
Ages 60 and over, male	440	9.8%	100-499
Ages 5–14, male	335	7.5%	100-499
Ages 15–24, female	305	6.8%	100-499
Ages 15–24, male	305	6.8%	100-499
Ages 5–14, female	290	6.5%	100-499

Commuting (work and study)

Commuting indicators for São Tomé/PR
Employed persons (aged 10 and over)	2,355
Commute out to work in another municipality	665
Commute in from another municipality to work here	90
Net commuting	−575
Out-commuting rate (%)	28.16
Commuting attraction index	0.754
Median commuting time	40 min

Open São Tomé/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]: São Tomé/PR. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-tome-pr-4126108/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.