Migration in Senador Georgino Avelino/RN (2017–2022)

Senador Georgino Avelino/RN had a reference population (aged 5 or over in 2022) of 3,730 people. In the 2017–2022 five-year period, the municipality received 315 in-migrants and lost 450 out-migrants to other municipalities in Brazil, resulting in a net migration of −130 people (−35.39 per 1,000 population) and a migration effectiveness index (IEM) of −0.173. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Senador Georgino Avelino/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	315	219 to 411	use with caution
Out-migrants	450	233 to 667	use with caution
Net migration	−130	−367 to 107	not classified
Net migration rate, TLM (per 1,000 pop.)	−35.39	-	-
Migration effectiveness index (IEM)	−0.173	-	-

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 Georgino Avelino/RN
Origin	People	Precision
Nísia Floresta/RN · view pair in the atlas	70	use with caution
Natal/RN · view pair in the atlas	50	low precision
Parnamirim/RN · view pair in the atlas	30	low precision
Arês/RN · view pair in the atlas	25	low precision
São José de Mipibu/RN · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Senador Georgino Avelino/RN
Destination	People	Precision
Nísia Floresta/RN · view pair in the atlas	75	low precision
Arês/RN · view pair in the atlas	55	low precision
São José de Mipibu/RN · view pair in the atlas	45	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	120	37.5%	20-49
First move from municipality of birth	110	34.4%	20-49
Return to municipality of birth	90	28.1%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	80	42.1%	20-49
Completed high school, incomplete higher education	65	34.2%	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
¼ to ½ minimum wage	115	36.5%	20-49
Up to ¼ of a minimum wage	90	28.6%	20-49
½ to 1 minimum wage	55	17.5%	5-19
1 to 2 minimum wages	50	15.9%	5-19
Other / suppressed	5	1.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	50	15.9%	5-19
Ages 25–39, female	50	15.9%	5-19
Ages 15–24, female	40	12.7%	5-19
Ages 5–14, female	35	11.1%	5-19
Ages 40–59, male	35	11.1%	5-19
Ages 5–14, male	30	9.5%	5-19
Ages 40–59, female	25	7.9%	5-19
Ages 60 and over, male	20	6.3%	5-19
Ages 15–24, male	20	6.3%	5-19
Other / suppressed	10	3.2%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	220	48.9%	20-49
First move from municipality of birth	160	35.6%	5-19
Return to municipality of birth	70	15.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	90	51.4%	5-19
No schooling or incomplete elementary	70	40.0%	5-19
Other / suppressed	15	8.6%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	175	38.9%	5-19
¼ to ½ minimum wage	145	32.2%	20-49
½ to 1 minimum wage	90	20.0%	5-19
Other / suppressed	40	8.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 5–14, male	120	26.7%	5-19
Ages 25–39, female	110	24.4%	5-19
Ages 15–24, female	90	20.0%	5-19
Other / suppressed	85	18.9%	5-19
Ages 25–39, male	45	10.0%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,145	53.1%	100-499
Completed high school, incomplete higher education	565	26.2%	100-499
Completed elementary, incomplete high school	280	13.0%	50-99
Completed higher education	165	7.7%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	1,345	35.9%	100-499
½ to 1 minimum wage	1,160	30.9%	100-499
Up to ¼ of a minimum wage	870	23.2%	100-499
1 to 2 minimum wages	305	8.1%	100-499
More than 2 minimum wages	70	1.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	440	12.9%	100-499
Ages 40–59, male	435	12.7%	100-499
Ages 25–39, female	430	12.6%	100-499
Ages 25–39, male	365	10.7%	100-499
Ages 15–24, male	350	10.2%	50-99
Ages 5–14, male	315	9.2%	100-499
Ages 15–24, female	300	8.8%	50-99
Ages 5–14, female	290	8.5%	100-499
Ages 60 and over, female	260	7.6%	50-99
Ages 60 and over, male	230	6.7%	50-99

Commuting (work and study)

Commuting indicators for Senador Georgino Avelino/RN
Employed persons (aged 10 and over)	1,285
Commute out to work in another municipality	435
Commute in from another municipality to work here	40
Net commuting	−400
Out-commuting rate (%)	33.97
Commuting attraction index	0.683
Median commuting time	60 min

Open Senador Georgino Avelino/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 Georgino Avelino/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/senador-georgino-avelino-rn-2413201/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.