Migration in Senador Elói de Souza/RN (2017–2022)

Senador Elói de Souza/RN had a reference population (aged 5 or over in 2022) of 5,570 people. In the 2017–2022 five-year period, the municipality received 350 in-migrants and lost 295 out-migrants to other municipalities in Brazil, resulting in a net migration of +55 people (9.88 per 1,000 population) and a migration effectiveness index (IEM) of 0.085. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Senador Elói de Souza/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	350	261 to 439	good
Out-migrants	295	173 to 417	use with caution
Net migration	+55	−96 to 206	not classified
Net migration rate, TLM (per 1,000 pop.)	9.88	-	-
Migration effectiveness index (IEM)	0.085	-	-

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 Senador Elói de Souza/RN
Origin	People	Precision
Natal/RN · view pair in the atlas	90	use with caution
Parnamirim/RN · view pair in the atlas	40	low precision
Serra Caiada/RN · view pair in the atlas	25	low precision
São Paulo do Potengi/RN · view pair in the atlas	25	low precision
Bom Jesus/RN · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Senador Elói de Souza/RN
Destination	People	Precision
Parnamirim/RN · view pair in the atlas	55	low precision
Bom Jesus/RN · view pair in the atlas	35	low precision
Serra Caiada/RN · view pair in the atlas	30	low precision
São Paulo do Potengi/RN · view pair in the atlas	30	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	165	46.5%	50-99
First move from municipality of birth	155	43.7%	20-49
Return to municipality of birth	30	8.5%	5-19
Other / suppressed	5	1.4%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	95	43.2%	20-49
Completed high school, incomplete higher education	50	22.7%	5-19
Completed elementary, incomplete high school	50	22.7%	5-19
Completed higher education	25	11.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	145	40.8%	20-49
½ to 1 minimum wage	100	28.2%	20-49
1 to 2 minimum wages	60	16.9%	20-49
Up to ¼ of a minimum wage	40	11.3%	5-19
Other / suppressed	10	2.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	65	18.1%	20-49
Ages 15–24, female	55	15.3%	5-19
Ages 40–59, male	50	13.9%	5-19
Ages 25–39, female	45	12.5%	5-19
Ages 40–59, female	40	11.1%	5-19
Ages 15–24, male	30	8.3%	5-19
Ages 5–14, male	25	6.9%	5-19
Ages 5–14, female	20	5.6%	5-19
Ages 60 and over, female	15	4.2%	5-19
Ages 60 and over, male	15	4.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	135	45.8%	20-49
Multi-step migration	130	44.1%	20-49
Return to municipality of birth	30	10.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	75	50.0%	5-19
Completed high school, incomplete higher education	40	26.7%	5-19
Other / suppressed	35	23.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	100	33.3%	5-19
¼ to ½ minimum wage	90	30.0%	5-19
Up to ¼ of a minimum wage	75	25.0%	5-19
1 to 2 minimum wages	35	11.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	55	18.6%	5-19
Ages 40–59, female	40	13.6%	5-19
Ages 15–24, male	40	13.6%	5-19
Ages 5–14, female	35	11.9%	5-19
Ages 25–39, male	30	10.2%	5-19
Ages 25–39, female	25	8.5%	5-19
Ages 40–59, male	25	8.5%	5-19
Other / suppressed	25	8.5%	5-19
Ages 5–14, male	20	6.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,145	60.8%	>=500
Completed high school, incomplete higher education	620	17.6%	100-499
Completed elementary, incomplete high school	575	16.3%	100-499
Completed higher education	190	5.4%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	1,755	31.3%	>=500
¼ to ½ minimum wage	1,685	30.0%	>=500
½ to 1 minimum wage	1,620	28.9%	>=500
1 to 2 minimum wages	435	7.8%	100-499
More than 2 minimum wages	115	2.0%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	695	13.3%	100-499
Ages 40–59, female	695	13.3%	100-499
Ages 25–39, male	605	11.6%	100-499
Ages 25–39, female	600	11.5%	100-499
Ages 60 and over, female	475	9.1%	100-499
Ages 60 and over, male	460	8.8%	100-499
Ages 15–24, male	450	8.6%	100-499
Ages 5–14, male	430	8.2%	100-499
Ages 15–24, female	410	7.9%	100-499
Ages 5–14, female	400	7.7%	100-499

Commuting (work and study)

Commuting indicators for Senador Elói de Souza/RN
Employed persons (aged 10 and over)	1,605
Commute out to work in another municipality	330
Commute in from another municipality to work here	170
Net commuting	−160
Out-commuting rate (%)	20.51
Commuting attraction index	0.887
Median commuting time	60 min

Open Senador Elói de Souza/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]: Senador Elói de Souza/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/senador-eloi-de-souza-rn-2413102/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.