Migration in São Fernando/RN (2017–2022)

São Fernando/RN had a reference population (aged 5 or over in 2022) of 3,320 people. In the 2017–2022 five-year period, the municipality received 265 in-migrants and lost 125 out-migrants to other municipalities in Brazil, resulting in a net migration of +135 people (41.09 per 1,000 population) and a migration effectiveness index (IEM) of 0.349. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for São Fernando/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	265	183 to 347	use with caution
Out-migrants	125	49 to 201	low precision
Net migration	+135	23 to 247	not classified
Net migration rate, TLM (per 1,000 pop.)	41.09	-	-
Migration effectiveness index (IEM)	0.349	-	-

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to São Fernando/RN
Origin	People	Precision
Caicó/RN · view pair in the atlas	120	use with caution
Jardim de Piranhas/RN · view pair in the atlas	25	low precision
Timbaúba dos Batistas/RN · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from São Fernando/RN
Destination	People	Precision
Caicó/RN · view pair in the atlas	60	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	135	50.9%	20-49
Multi-step migration	90	34.0%	20-49
Return to municipality of birth	40	15.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	100	52.6%	20-49
Completed high school, incomplete higher education	45	23.7%	5-19
Completed elementary, incomplete high school	25	13.2%	5-19
Completed higher education	20	10.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	85	32.1%	20-49
Up to ¼ of a minimum wage	55	20.8%	5-19
¼ to ½ minimum wage	50	18.9%	5-19
1 to 2 minimum wages	40	15.1%	5-19
More than 2 minimum wages	35	13.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	50	18.9%	5-19
Ages 60 and over, female	45	17.0%	5-19
Ages 40–59, male	40	15.1%	5-19
Ages 25–39, female	35	13.2%	5-19
Ages 40–59, female	35	13.2%	5-19
Ages 25–39, male	25	9.4%	5-19
Ages 5–14, male	20	7.5%	5-19
Ages 5–14, female	15	5.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	65	50.0%	5-19
First move from municipality of birth	35	26.9%	5-19
Multi-step migration	30	23.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	30	37.5%	5-19
Completed high school, incomplete higher education	30	37.5%	5-19
Other / suppressed	20	25.0%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Other / suppressed	55	44.0%	5-19
½ to 1 minimum wage	40	32.0%	5-19
¼ to ½ minimum wage	30	24.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	90	72.0%	5-19
Ages 25–39, female	35	28.0%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,330	59.0%	100-499
Completed high school, incomplete higher education	445	19.7%	100-499
Completed elementary, incomplete high school	290	12.9%	100-499
Completed higher education	190	8.4%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,125	34.8%	100-499
¼ to ½ minimum wage	860	26.6%	100-499
Up to ¼ of a minimum wage	525	16.3%	100-499
1 to 2 minimum wages	465	14.4%	100-499
More than 2 minimum wages	255	7.9%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	455	14.9%	100-499
Ages 40–59, male	450	14.8%	100-499
Ages 25–39, male	345	11.3%	100-499
Ages 25–39, female	330	10.8%	100-499
Ages 60 and over, male	330	10.8%	100-499
Ages 60 and over, female	320	10.5%	100-499
Ages 15–24, female	210	6.9%	50-99
Ages 15–24, male	200	6.6%	50-99
Ages 5–14, female	175	5.7%	50-99
Ages 5–14, male	165	5.4%	50-99
Other / suppressed	70	2.3%	5-19

Commuting (work and study)

Commuting indicators for São Fernando/RN
Employed persons (aged 10 and over)	1,265
Commute out to work in another municipality	185
Commute in from another municipality to work here	75
Net commuting	−110
Out-commuting rate (%)	14.46
Commuting attraction index	0.904
Median commuting time	30 min

Open São Fernando/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 Fernando/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-fernando-rn-2411809/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.