Migration in Espírito Santo/RN (2017–2022)

Espírito Santo/RN had a reference population (aged 5 or over in 2022) of 9,920 people. In the 2017–2022 five-year period, the municipality received 490 in-migrants and lost 475 out-migrants to other municipalities in Brazil, resulting in a net migration of +10 people (1.24 per 1,000 population) and a migration effectiveness index (IEM) of 0.013. 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 Espírito Santo/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	490	343 to 637	use with caution
Out-migrants	475	252 to 698	use with caution
Net migration	+10	−257 to 277	not classified
Net migration rate, TLM (per 1,000 pop.)	1.24	-	-
Migration effectiveness index (IEM)	0.013	-	-

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 Espírito Santo/RN
Origin	People	Precision
Rio de Janeiro/RJ · view pair in the atlas	90	low precision
Várzea/RN · view pair in the atlas	55	low precision
Natal/RN · view pair in the atlas	50	low precision
Goianinha/RN · view pair in the atlas	45	low precision
Parnamirim/RN · view pair in the atlas	45	low precision
Jundiá/RN · view pair in the atlas	40	low precision
Canguaretama/RN · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Espírito Santo/RN
Destination	People	Precision
Parnamirim/RN · view pair in the atlas	75	low precision
Goianinha/RN · view pair in the atlas	70	low precision
Várzea/RN · view pair in the atlas	40	low precision
Arês/RN · view pair in the atlas	25	low precision
Serrinha/RN · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	250	50.5%	20-49
First move from municipality of birth	160	32.3%	20-49
Return to municipality of birth	85	17.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	130	44.8%	20-49
Completed elementary, incomplete high school	80	27.6%	5-19
Completed high school, incomplete higher education	75	25.9%	5-19
Other / suppressed	5	1.7%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	220	44.9%	20-49
½ to 1 minimum wage	125	25.5%	20-49
Up to ¼ of a minimum wage	95	19.4%	20-49
1 to 2 minimum wages	45	9.2%	5-19
Other / suppressed	5	1.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	80	16.3%	5-19
Ages 40–59, female	65	13.3%	5-19
Ages 25–39, female	65	13.3%	5-19
Ages 40–59, male	60	12.2%	5-19
Ages 5–14, male	55	11.2%	5-19
Ages 25–39, male	55	11.2%	5-19
Other / suppressed	45	9.2%	5-19
Ages 15–24, male	40	8.2%	5-19
Ages 5–14, female	25	5.1%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	240	50.5%	20-49
First move from municipality of birth	210	44.2%	20-49
Other / suppressed	25	5.3%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	145	43.9%	20-49
Completed high school, incomplete higher education	100	30.3%	5-19
Completed elementary, incomplete high school	50	15.2%	5-19
Other / suppressed	35	10.6%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	220	46.3%	20-49
1 to 2 minimum wages	175	36.8%	20-49
¼ to ½ minimum wage	60	12.6%	5-19
Up to ¼ of a minimum wage	20	4.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	90	18.8%	5-19
Ages 40–59, female	75	15.6%	5-19
Ages 25–39, male	75	15.6%	5-19
Ages 25–39, female	70	14.6%	5-19
Ages 15–24, female	60	12.5%	5-19
Ages 15–24, male	55	11.5%	5-19
Ages 40–59, male	55	11.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,910	62.3%	>=500
Completed high school, incomplete higher education	1,240	19.8%	100-499
Completed elementary, incomplete high school	870	13.9%	100-499
Completed higher education	255	4.1%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	3,570	35.3%	>=500
½ to 1 minimum wage	3,140	31.0%	>=500
Up to ¼ of a minimum wage	2,475	24.5%	100-499
1 to 2 minimum wages	710	7.0%	100-499
More than 2 minimum wages	225	2.2%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,250	13.3%	100-499
Ages 40–59, male	1,210	12.9%	100-499
Ages 25–39, male	1,140	12.1%	100-499
Ages 25–39, female	1,070	11.4%	100-499
Ages 15–24, male	865	9.2%	100-499
Ages 60 and over, female	835	8.9%	100-499
Ages 5–14, male	800	8.5%	100-499
Ages 15–24, female	770	8.2%	100-499
Ages 60 and over, male	765	8.1%	100-499
Ages 5–14, female	710	7.5%	100-499

Commuting (work and study)

Commuting indicators for Espírito Santo/RN
Employed persons (aged 10 and over)	2,685
Commute out to work in another municipality	930
Commute in from another municipality to work here	110
Net commuting	−815
Out-commuting rate (%)	34.56
Commuting attraction index	0.675
Median commuting time	60 min

Open Espírito Santo/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]: Espírito Santo/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/espirito-santo-rn-2403509/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.