Migration in São Miguel/RN (2017–2022)

São Miguel/RN had a reference population (aged 5 or over in 2022) of 22,080 people. In the 2017–2022 five-year period, the municipality received 1,155 in-migrants and lost 1,175 out-migrants to other municipalities in Brazil, resulting in a net migration of −25 people (−1.07 per 1,000 population) and a migration effectiveness index (IEM) of −0.010. This classifies the municipality, for the period, as one of migratory depletion. In addition, 25 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for São Miguel/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,155	816 to 1,494	good
Out-migrants	1,175	843 to 1,507	good
Net migration	−25	−500 to 450	not classified
Net migration rate, TLM (per 1,000 pop.)	−1.07	-	-
Migration effectiveness index (IEM)	−0.010	-	-

Sample of in-migrants: 100-499 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 Miguel/RN
Origin	People	Precision
São Paulo/SP · view pair in the atlas	165	low precision
Natal/RN · view pair in the atlas	90	low precision
Icó/CE · view pair in the atlas	90	low precision
Fortaleza/CE · view pair in the atlas	80	low precision
Jaguaribe/CE · view pair in the atlas	70	low precision

Top 10 destinations of out-migrants from São Miguel/RN
Destination	People	Precision
Pereiro/CE · view pair in the atlas	130	low precision
Pau dos Ferros/RN · view pair in the atlas	120	low precision
Icó/CE · view pair in the atlas	105	low precision
Coronel João Pessoa/RN · view pair in the atlas	40	low precision
Doutor Severiano/RN · view pair in the atlas	25	low precision
Venha-Ver/RN · view pair in the atlas	20	low precision
Encanto/RN · 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	420	36.4%	20-49
First move from municipality of birth	385	33.3%	20-49
Multi-step migration	350	30.3%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	200	29.2%	5-19
No schooling or incomplete elementary	195	28.5%	5-19
Completed higher education	145	21.2%	5-19
Completed elementary, incomplete high school	145	21.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	345	29.7%	20-49
½ to 1 minimum wage	330	28.4%	20-49
¼ to ½ minimum wage	290	25.0%	20-49
1 to 2 minimum wages	110	9.5%	5-19
More than 2 minimum wages	70	6.0%	5-19
Other / suppressed	15	1.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	230	19.9%	20-49
Ages 15–24, female	150	13.0%	5-19
Ages 25–39, male	145	12.6%	5-19
Ages 15–24, male	130	11.3%	5-19
Ages 40–59, female	125	10.8%	5-19
Ages 5–14, male	110	9.5%	5-19
Ages 40–59, male	95	8.2%	5-19
Ages 5–14, female	85	7.4%	5-19
Ages 60 and over, male	60	5.2%	5-19
Other / suppressed	25	2.2%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	865	73.3%	100-499
Multi-step migration	260	22.0%	20-49
Return to municipality of birth	55	4.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	270	38.8%	20-49
Completed high school, incomplete higher education	210	30.2%	20-49
Completed elementary, incomplete high school	130	18.7%	5-19
Completed higher education	85	12.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	530	45.1%	50-99
1 to 2 minimum wages	175	14.9%	5-19
¼ to ½ minimum wage	160	13.6%	20-49
More than 2 minimum wages	155	13.2%	5-19
Up to ¼ of a minimum wage	155	13.2%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	230	19.6%	20-49
Ages 25–39, male	180	15.3%	20-49
Ages 15–24, female	160	13.6%	20-49
Ages 15–24, male	140	11.9%	5-19
Ages 5–14, female	105	8.9%	5-19
Ages 40–59, female	100	8.5%	5-19
Ages 5–14, male	80	6.8%	5-19
Ages 40–59, male	80	6.8%	5-19
Ages 60 and over, male	55	4.7%	5-19
Ages 60 and over, female	45	3.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	8,985	63.5%	>=500
Completed high school, incomplete higher education	2,355	16.6%	100-499
Completed elementary, incomplete high school	1,485	10.5%	100-499
Completed higher education	1,325	9.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	6,905	30.9%	>=500
Up to ¼ of a minimum wage	6,330	28.3%	>=500
¼ to ½ minimum wage	5,840	26.1%	>=500
1 to 2 minimum wages	2,500	11.2%	100-499
More than 2 minimum wages	780	3.5%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	2,940	14.1%	100-499
Ages 40–59, male	2,555	12.2%	100-499
Ages 25–39, female	2,485	11.9%	100-499
Ages 25–39, male	2,425	11.6%	100-499
Ages 60 and over, female	2,085	10.0%	100-499
Ages 15–24, male	1,905	9.1%	100-499
Ages 15–24, female	1,785	8.5%	100-499
Ages 60 and over, male	1,660	7.9%	100-499
Ages 5–14, male	1,550	7.4%	100-499
Ages 5–14, female	1,510	7.2%	100-499

Commuting (work and study)

Commuting indicators for São Miguel/RN
Employed persons (aged 10 and over)	6,280
Commute out to work in another municipality	965
Commute in from another municipality to work here	470
Net commuting	−495
Out-commuting rate (%)	15.34
Commuting attraction index	0.903
Median commuting time	20 min

Open São Miguel/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 Miguel/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-miguel-rn-2412500/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.