Migration in São Vicente Ferrer/MA (2017–2022)

São Vicente Ferrer/MA had a reference population (aged 5 or over in 2022) of 18,050 people. In the 2017–2022 five-year period, the municipality received 650 in-migrants and lost 1,465 out-migrants to other municipalities in Brazil, resulting in a net migration of −820 people (−45.43 per 1,000 population) and a migration effectiveness index (IEM) of −0.388. This classifies the municipality, for the period, as one of migratory depletion. In addition, 20 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for São Vicente Ferrer/MA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	650	420 to 880	use with caution
Out-migrants	1,465	1,117 to 1,813	good
Net migration	−820	−1,237 to −403	not classified
Net migration rate, TLM (per 1,000 pop.)	−45.43	-	-
Migration effectiveness index (IEM)	−0.388	-	-

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 Vicente Ferrer/MA
Origin	People	Precision
São Luís/MA · view pair in the atlas	210	low precision
Brasília/DF · view pair in the atlas	70	low precision
São João Batista/MA · view pair in the atlas	50	low precision

Top 10 destinations of out-migrants from São Vicente Ferrer/MA
Destination	People	Precision
São Luís/MA · view pair in the atlas	395	use with caution
Valentim Gentil/SP · view pair in the atlas	145	low precision
São Bento/MA · view pair in the atlas	125	low precision
São José de Ribamar/MA · view pair in the atlas	65	low precision
Sacramento/MG · view pair in the atlas	55	low precision
Cajapió/MA · view pair in the atlas	45	low precision
Olinda Nova do Maranhão/MA · view pair in the atlas	25	low precision
Santo Antônio da Alegria/SP · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	315	48.5%	20-49
First move from municipality of birth	195	30.0%	20-49
Multi-step migration	140	21.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	185	41.1%	5-19
No schooling or incomplete elementary	165	36.7%	5-19
Completed elementary, incomplete high school	75	16.7%	5-19
Other / suppressed	25	5.6%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	330	51.2%	20-49
½ to 1 minimum wage	125	19.4%	5-19
¼ to ½ minimum wage	125	19.4%	5-19
1 to 2 minimum wages	50	7.8%	5-19
Other / suppressed	15	2.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	155	24.0%	5-19
Ages 25–39, male	105	16.3%	5-19
Ages 40–59, female	100	15.5%	5-19
Other / suppressed	95	14.7%	5-19
Ages 5–14, female	75	11.6%	5-19
Ages 40–59, male	65	10.1%	5-19
Ages 15–24, male	50	7.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	1,295	88.4%	100-499
Multi-step migration	125	8.5%	5-19
Return to municipality of birth	45	3.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	300	39.5%	20-49
No schooling or incomplete elementary	230	30.3%	20-49
Completed elementary, incomplete high school	200	26.3%	20-49
Other / suppressed	30	3.9%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	510	34.7%	50-99
1 to 2 minimum wages	380	25.9%	20-49
¼ to ½ minimum wage	350	23.8%	20-49
Up to ¼ of a minimum wage	170	11.6%	5-19
Other / suppressed	60	4.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	330	22.4%	20-49
Ages 25–39, male	280	19.0%	20-49
Ages 15–24, female	230	15.6%	20-49
Ages 25–39, female	205	13.9%	20-49
Ages 40–59, female	115	7.8%	5-19
Ages 5–14, female	90	6.1%	5-19
Ages 40–59, male	80	5.4%	5-19
Ages 5–14, male	55	3.7%	5-19
Ages 60 and over, female	50	3.4%	5-19
Other / suppressed	35	2.4%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	6,635	58.6%	>=500
Completed high school, incomplete higher education	2,240	19.8%	100-499
Completed elementary, incomplete high school	1,990	17.6%	100-499
Completed higher education	455	4.0%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	6,915	36.7%	>=500
¼ to ½ minimum wage	5,955	31.6%	>=500
½ to 1 minimum wage	4,650	24.7%	100-499
1 to 2 minimum wages	985	5.2%	50-99
More than 2 minimum wages	315	1.7%	20-49
Other / suppressed	5	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	2,195	12.6%	100-499
Ages 40–59, female	2,140	12.3%	100-499
Ages 25–39, female	2,140	12.3%	100-499
Ages 25–39, male	2,100	12.1%	100-499
Ages 15–24, male	1,585	9.1%	100-499
Ages 5–14, male	1,500	8.6%	100-499
Ages 5–14, female	1,500	8.6%	100-499
Ages 15–24, female	1,470	8.5%	100-499
Ages 60 and over, female	1,405	8.1%	100-499
Ages 60 and over, male	1,345	7.7%	100-499

Commuting (work and study)

Commuting indicators for São Vicente Ferrer/MA
Employed persons (aged 10 and over)	4,560
Commute out to work in another municipality	250
Commute in from another municipality to work here	330
Net commuting	+80
Out-commuting rate (%)	5.49
Commuting attraction index	0.987
Median commuting time	42 min

Open São Vicente Ferrer/MA 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 Vicente Ferrer/MA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-vicente-ferrer-ma-2111706/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.