Migration in Rafael Fernandes/RN (2017–2022)

Rafael Fernandes/RN had a reference population (aged 5 or over in 2022) of 5,110 people. In the 2017–2022 five-year period, the municipality received 495 in-migrants and lost 280 out-migrants to other municipalities in Brazil, resulting in a net migration of +220 people (42.62 per 1,000 population) and a migration effectiveness index (IEM) of 0.281. This classifies the municipality, for the period, as one of migratory attraction. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Rafael Fernandes/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	495	387 to 603	good
Out-migrants	280	139 to 421	use with caution
Net migration	+220	42 to 398	not classified
Net migration rate, TLM (per 1,000 pop.)	42.62	-	-
Migration effectiveness index (IEM)	0.281	-	-

Sample of in-migrants: 100-499 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 Rafael Fernandes/RN
Origin	People	Precision
Pau dos Ferros/RN · view pair in the atlas	120	use with caution
São Paulo/SP · view pair in the atlas	50	low precision
Marcelino Vieira/RN · view pair in the atlas	25	low precision
José da Penha/RN · view pair in the atlas	20	low precision
Riacho de Santana/RN · view pair in the atlas	20	low precision
Mossoró/RN · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Rafael Fernandes/RN
Destination	People	Precision
Pau dos Ferros/RN · view pair in the atlas	105	low precision
Marcelino Vieira/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	210	42.0%	50-99
Multi-step migration	195	39.0%	50-99
Return to municipality of birth	90	18.0%	20-49
Other / suppressed	5	1.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	165	50.0%	50-99
Completed high school, incomplete higher education	80	24.2%	20-49
Completed higher education	50	15.2%	5-19
Completed elementary, incomplete high school	35	10.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	140	28.6%	20-49
½ to 1 minimum wage	135	27.6%	20-49
Up to ¼ of a minimum wage	120	24.5%	20-49
1 to 2 minimum wages	60	12.2%	20-49
More than 2 minimum wages	35	7.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	85	17.2%	20-49
Ages 25–39, male	80	16.2%	20-49
Ages 40–59, male	65	13.1%	20-49
Ages 15–24, female	50	10.1%	5-19
Ages 15–24, male	40	8.1%	5-19
Ages 5–14, male	40	8.1%	5-19
Ages 5–14, female	40	8.1%	5-19
Ages 60 and over, male	35	7.1%	5-19
Ages 40–59, female	35	7.1%	5-19
Ages 60 and over, female	25	5.1%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	115	41.1%	5-19
Multi-step migration	95	33.9%	5-19
Return to municipality of birth	70	25.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	80	42.1%	5-19
Completed high school, incomplete higher education	55	28.9%	5-19
Other / suppressed	35	18.4%	<5
Completed elementary, incomplete high school	20	10.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	85	30.9%	5-19
Other / suppressed	85	30.9%	5-19
½ to 1 minimum wage	60	21.8%	5-19
Up to ¼ of a minimum wage	45	16.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	85	30.4%	5-19
Ages 15–24, female	70	25.0%	5-19
Ages 25–39, male	65	23.2%	5-19
Ages 40–59, female	35	12.5%	5-19
Ages 25–39, female	25	8.9%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,790	54.7%	>=500
Completed high school, incomplete higher education	830	25.4%	100-499
Completed elementary, incomplete high school	340	10.4%	100-499
Completed higher education	310	9.5%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,620	32.9%	>=500
¼ to ½ minimum wage	1,375	27.9%	100-499
Up to ¼ of a minimum wage	1,115	22.6%	100-499
1 to 2 minimum wages	555	11.3%	100-499
More than 2 minimum wages	260	5.3%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	690	15.0%	100-499
Ages 40–59, male	595	12.9%	100-499
Ages 25–39, male	570	12.4%	100-499
Ages 25–39, female	545	11.8%	100-499
Ages 60 and over, female	445	9.7%	100-499
Ages 60 and over, male	425	9.2%	100-499
Ages 15–24, male	400	8.7%	100-499
Ages 15–24, female	325	7.1%	100-499
Ages 5–14, male	310	6.7%	50-99
Ages 5–14, female	300	6.5%	50-99

Commuting (work and study)

Commuting indicators for Rafael Fernandes/RN
Employed persons (aged 10 and over)	1,690
Commute out to work in another municipality	400
Commute in from another municipality to work here	115
Net commuting	−285
Out-commuting rate (%)	23.70
Commuting attraction index	0.783
Median commuting time	20 min

Open Rafael Fernandes/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]: Rafael Fernandes/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/rafael-fernandes-rn-2410504/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.