Migration in São Vicente/RN (2017–2022)

São Vicente/RN had a reference population (aged 5 or over in 2022) of 5,945 people. In the 2017–2022 five-year period, the municipality received 285 in-migrants and lost 415 out-migrants to other municipalities in Brazil, resulting in a net migration of −125 people (−21.22 per 1,000 population) and a migration effectiveness index (IEM) of −0.180. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for São Vicente/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	285	182 to 388	use with caution
Out-migrants	415	227 to 603	use with caution
Net migration	−125	−339 to 89	not classified
Net migration rate, TLM (per 1,000 pop.)	−21.22	-	-
Migration effectiveness index (IEM)	−0.180	-	-

Sample of in-migrants: 50-99 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 Vicente/RN
Origin	People	Precision
Tenente Laurentino Cruz/RN · view pair in the atlas	35	low precision
Currais Novos/RN · view pair in the atlas	25	low precision
Florânia/RN · view pair in the atlas	25	low precision
Natal/RN · view pair in the atlas	25	low precision
Lagoa Nova/RN · view pair in the atlas	20	low precision
Jucurutu/RN · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from São Vicente/RN
Destination	People	Precision
Tenente Laurentino Cruz/RN · view pair in the atlas	80	low precision
Currais Novos/RN · view pair in the atlas	75	low precision
Acari/RN · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	125	43.9%	20-49
Multi-step migration	110	38.6%	20-49
Return to municipality of birth	50	17.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	75	41.7%	20-49
Completed high school, incomplete higher education	45	25.0%	5-19
Completed elementary, incomplete high school	35	19.4%	5-19
Completed higher education	25	13.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	105	36.2%	20-49
Up to ¼ of a minimum wage	85	29.3%	20-49
½ to 1 minimum wage	55	19.0%	5-19
1 to 2 minimum wages	35	12.1%	5-19
Other / suppressed	10	3.4%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	50	17.2%	5-19
Ages 40–59, male	45	15.5%	5-19
Ages 25–39, male	45	15.5%	5-19
Ages 5–14, male	40	13.8%	5-19
Ages 15–24, female	35	12.1%	5-19
Ages 40–59, female	30	10.3%	5-19
Ages 5–14, female	15	5.2%	5-19
Other / suppressed	15	5.2%	5-19
Ages 15–24, male	15	5.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	170	41.0%	20-49
Multi-step migration	155	37.3%	20-49
Return to municipality of birth	90	21.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	95	43.2%	5-19
No schooling or incomplete elementary	55	25.0%	5-19
Completed higher education	45	20.5%	5-19
Completed elementary, incomplete high school	25	11.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	145	34.9%	20-49
¼ to ½ minimum wage	145	34.9%	20-49
More than 2 minimum wages	55	13.3%	5-19
1 to 2 minimum wages	50	12.0%	5-19
Other / suppressed	20	4.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	75	18.1%	5-19
Ages 15–24, male	70	16.9%	5-19
Ages 5–14, male	55	13.3%	5-19
Other / suppressed	50	12.0%	5-19
Ages 25–39, female	45	10.8%	5-19
Ages 40–59, male	45	10.8%	5-19
Ages 15–24, female	45	10.8%	5-19
Ages 40–59, female	30	7.2%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,070	50.5%	>=500
Completed high school, incomplete higher education	1,345	32.8%	100-499
Completed elementary, incomplete high school	415	10.1%	100-499
Completed higher education	265	6.5%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,850	30.8%	>=500
¼ to ½ minimum wage	1,720	28.6%	>=500
Up to ¼ of a minimum wage	1,495	24.9%	100-499
1 to 2 minimum wages	735	12.2%	100-499
More than 2 minimum wages	215	3.6%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	885	15.7%	100-499
Ages 40–59, male	805	14.3%	100-499
Ages 25–39, female	660	11.7%	100-499
Ages 25–39, male	630	11.2%	100-499
Ages 60 and over, female	570	10.1%	100-499
Ages 60 and over, male	535	9.5%	100-499
Ages 15–24, male	430	7.6%	100-499
Ages 15–24, female	400	7.1%	100-499
Ages 5–14, male	385	6.8%	100-499
Ages 5–14, female	340	6.0%	100-499

Commuting (work and study)

Commuting indicators for São Vicente/RN
Employed persons (aged 10 and over)	1,720
Commute out to work in another municipality	295
Commute in from another municipality to work here	335
Net commuting	+40
Out-commuting rate (%)	17.12
Commuting attraction index	0.998
Median commuting time	60 min

Open São Vicente/RN 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/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-vicente-rn-2413003/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.