Migration in São Miguel do Gostoso/RN (2017–2022)

São Miguel do Gostoso/RN had a reference population (aged 5 or over in 2022) of 9,460 people. In the 2017–2022 five-year period, the municipality received 1,010 in-migrants and lost 515 out-migrants to other municipalities in Brazil, resulting in a net migration of +490 people (52.03 per 1,000 population) and a migration effectiveness index (IEM) of 0.323. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for São Miguel do Gostoso/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,010	773 to 1,247	good
Out-migrants	515	275 to 755	use with caution
Net migration	+490	153 to 827	not classified
Net migration rate, TLM (per 1,000 pop.)	52.03	-	-
Migration effectiveness index (IEM)	0.323	-	-

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 Miguel do Gostoso/RN
Origin	People	Precision
Natal/RN · view pair in the atlas	255	use with caution
Touros/RN · view pair in the atlas	235	use with caution
Caiçara do Norte/RN · view pair in the atlas	35	low precision
Parazinho/RN · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from São Miguel do Gostoso/RN
Destination	People	Precision
Natal/RN · view pair in the atlas	145	low precision
Parnamirim/RN · view pair in the atlas	75	low precision
Touros/RN · view pair in the atlas	65	low precision
Pureza/RN · view pair in the atlas	25	low precision
Parazinho/RN · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	470	46.8%	50-99
Multi-step migration	425	42.3%	50-99
Return to municipality of birth	100	10.0%	5-19
Other / suppressed	10	1.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	215	37.1%	20-49
Completed high school, incomplete higher education	195	33.6%	20-49
Completed elementary, incomplete high school	90	15.5%	5-19
Completed higher education	80	13.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	340	33.8%	50-99
½ to 1 minimum wage	290	28.9%	50-99
1 to 2 minimum wages	160	15.9%	20-49
Up to ¼ of a minimum wage	105	10.4%	20-49
More than 2 minimum wages	90	9.0%	5-19
Other / suppressed	20	2.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	155	15.3%	20-49
Ages 25–39, male	145	14.4%	20-49
Ages 15–24, female	130	12.9%	20-49
Ages 40–59, female	125	12.4%	20-49
Ages 5–14, male	105	10.4%	20-49
Ages 5–14, female	100	9.9%	20-49
Ages 15–24, male	95	9.4%	5-19
Ages 40–59, male	95	9.4%	5-19
Ages 60 and over, female	30	3.0%	5-19
Ages 60 and over, male	30	3.0%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	250	48.5%	20-49
First move from municipality of birth	185	35.9%	5-19
Return to municipality of birth	80	15.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	100	37.7%	5-19
No schooling or incomplete elementary	85	32.1%	5-19
Completed elementary, incomplete high school	60	22.6%	5-19
Other / suppressed	20	7.5%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	175	34.0%	5-19
¼ to ½ minimum wage	140	27.2%	5-19
Up to ¼ of a minimum wage	65	12.6%	5-19
More than 2 minimum wages	60	11.7%	5-19
1 to 2 minimum wages	55	10.7%	5-19
Other / suppressed	20	3.9%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	110	21.6%	5-19
Ages 15–24, female	100	19.6%	5-19
Ages 25–39, female	100	19.6%	5-19
Ages 15–24, male	60	11.8%	5-19
Ages 5–14, female	50	9.8%	5-19
Ages 25–39, male	50	9.8%	5-19
Ages 40–59, male	40	7.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,205	57.7%	>=500
Completed high school, incomplete higher education	1,155	20.8%	100-499
Completed elementary, incomplete high school	765	13.8%	100-499
Completed higher education	425	7.7%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,030	33.0%	>=500
¼ to ½ minimum wage	2,425	26.4%	100-499
Up to ¼ of a minimum wage	2,110	22.9%	100-499
1 to 2 minimum wages	1,290	14.0%	100-499
More than 2 minimum wages	340	3.7%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	1,205	14.3%	100-499
Ages 25–39, female	1,120	13.3%	100-499
Ages 40–59, male	1,090	12.9%	100-499
Ages 40–59, female	1,010	12.0%	100-499
Ages 15–24, male	775	9.2%	100-499
Ages 15–24, female	725	8.6%	100-499
Ages 5–14, female	695	8.2%	100-499
Ages 5–14, male	690	8.2%	100-499
Ages 60 and over, male	565	6.7%	100-499
Ages 60 and over, female	560	6.6%	100-499

Commuting (work and study)

Commuting indicators for São Miguel do Gostoso/RN
Employed persons (aged 10 and over)	3,715
Commute out to work in another municipality	305
Commute in from another municipality to work here	565
Net commuting	+260
Out-commuting rate (%)	8.20
Commuting attraction index	1.037
Median commuting time	90 min

Open São Miguel do Gostoso/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 do Gostoso/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-do-gostoso-rn-2412559/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.