Migration in São Martinho/RS (2017–2022)

São Martinho/RS had a reference population (aged 5 or over in 2022) of 5,185 people. In the 2017–2022 five-year period, the municipality received 260 in-migrants and lost 520 out-migrants to other municipalities in Brazil, resulting in a net migration of −260 people (−49.75 per 1,000 population) and a migration effectiveness index (IEM) of −0.331. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for São Martinho/RS, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	260	184 to 336	good
Out-migrants	520	352 to 688	use with caution
Net migration	−260	−445 to −75	not classified
Net migration rate, TLM (per 1,000 pop.)	−49.75	-	-
Migration effectiveness index (IEM)	−0.331	-	-

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to São Martinho/RS
Origin	People	Precision
Santo Augusto/RS · view pair in the atlas	15	low precision
Porto Alegre/RS · view pair in the atlas	15	low precision
Boa Vista do Buricá/RS · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from São Martinho/RS
Destination	People	Precision
Três de Maio/RS · view pair in the atlas	65	low precision
Boa Vista do Buricá/RS · view pair in the atlas	35	low precision
Campo Novo/RS · view pair in the atlas	35	low precision
Sede Nova/RS · view pair in the atlas	20	low precision
São Valério do Sul/RS · 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	125	47.2%	20-49
First move from municipality of birth	80	30.2%	20-49
Return to municipality of birth	55	20.8%	5-19
Other / suppressed	5	1.9%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	60	32.4%	5-19
No schooling or incomplete elementary	60	32.4%	20-49
Completed higher education	45	24.3%	5-19
Completed elementary, incomplete high school	20	10.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	120	46.2%	20-49
1 to 2 minimum wages	65	25.0%	20-49
More than 2 minimum wages	35	13.5%	5-19
¼ to ½ minimum wage	30	11.5%	5-19
Other / suppressed	10	3.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	50	19.2%	5-19
Ages 25–39, male	40	15.4%	5-19
Ages 40–59, male	35	13.5%	5-19
Other / suppressed	30	11.5%	5-19
Ages 5–14, male	30	11.5%	5-19
Ages 40–59, female	20	7.7%	5-19
Ages 15–24, female	20	7.7%	5-19
Ages 60 and over, female	20	7.7%	5-19
Ages 60 and over, male	15	5.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	275	53.9%	50-99
First move from municipality of birth	215	42.2%	20-49
Return to municipality of birth	20	3.9%	5-19
Other / suppressed	0	0.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	145	42.0%	20-49
Completed high school, incomplete higher education	100	29.0%	20-49
Completed higher education	70	20.3%	5-19
Completed elementary, incomplete high school	30	8.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	185	35.6%	20-49
1 to 2 minimum wages	105	20.2%	20-49
¼ to ½ minimum wage	95	18.3%	20-49
More than 2 minimum wages	95	18.3%	5-19
Up to ¼ of a minimum wage	30	5.8%	5-19
Other / suppressed	10	1.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	100	19.0%	20-49
Ages 25–39, male	95	18.1%	20-49
Ages 15–24, female	70	13.3%	5-19
Ages 40–59, male	45	8.6%	5-19
Ages 60 and over, female	40	7.6%	5-19
Ages 15–24, male	40	7.6%	5-19
Ages 40–59, female	40	7.6%	5-19
Ages 5–14, male	35	6.7%	5-19
Ages 5–14, female	30	5.7%	5-19
Ages 60 and over, male	30	5.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,935	49.9%	>=500
Completed high school, incomplete higher education	910	23.5%	100-499
Completed elementary, incomplete high school	520	13.4%	100-499
Completed higher education	510	13.2%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	2,045	39.3%	>=500
½ to 1 minimum wage	1,615	31.0%	>=500
More than 2 minimum wages	945	18.1%	100-499
¼ to ½ minimum wage	460	8.8%	100-499
Up to ¼ of a minimum wage	145	2.8%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 60 and over, female	830	16.9%	100-499
Ages 40–59, female	725	14.8%	100-499
Ages 40–59, male	705	14.3%	100-499
Ages 60 and over, male	700	14.2%	100-499
Ages 25–39, female	460	9.4%	100-499
Ages 25–39, male	450	9.2%	100-499
Ages 15–24, male	285	5.8%	50-99
Ages 5–14, female	265	5.4%	50-99
Ages 15–24, female	250	5.1%	50-99
Ages 5–14, male	245	5.0%	50-99

Commuting (work and study)

Commuting indicators for São Martinho/RS
Employed persons (aged 10 and over)	2,760
Commute out to work in another municipality	75
Commute in from another municipality to work here	170
Net commuting	+90
Out-commuting rate (%)	2.73
Commuting attraction index	1.004
Median commuting time	20 min

Open São Martinho/RS 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 Martinho/RS. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-martinho-rs-4319109/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.