Migration in Doutor Severiano/RN (2017–2022)

Doutor Severiano/RN had a reference population (aged 5 or over in 2022) of 6,630 people. In the 2017–2022 five-year period, the municipality received 315 in-migrants and lost 365 out-migrants to other municipalities in Brazil, resulting in a net migration of −50 people (−7.68 per 1,000 population) and a migration effectiveness index (IEM) of −0.074. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Doutor Severiano/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	315	222 to 408	use with caution
Out-migrants	365	181 to 549	use with caution
Net migration	−50	−256 to 156	not classified
Net migration rate, TLM (per 1,000 pop.)	−7.68	-	-
Migration effectiveness index (IEM)	−0.074	-	-

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 Doutor Severiano/RN
Origin	People	Precision
São Paulo/SP · view pair in the atlas	45	low precision
Brasília/DF · view pair in the atlas	40	low precision
Pau dos Ferros/RN · view pair in the atlas	25	low precision
São Miguel/RN · view pair in the atlas	25	low precision
Natal/RN · view pair in the atlas	15	low precision
Encanto/RN · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Doutor Severiano/RN
Destination	People	Precision
Encanto/RN · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	150	47.6%	20-49
First move from municipality of birth	110	34.9%	20-49
Multi-step migration	55	17.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	70	32.6%	20-49
No schooling or incomplete elementary	60	27.9%	5-19
Completed elementary, incomplete high school	50	23.3%	5-19
Completed higher education	35	16.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	135	43.5%	20-49
¼ to ½ minimum wage	65	21.0%	20-49
Up to ¼ of a minimum wage	55	17.7%	20-49
1 to 2 minimum wages	40	12.9%	5-19
More than 2 minimum wages	15	4.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	60	18.8%	20-49
Ages 25–39, male	60	18.8%	20-49
Ages 5–14, male	45	14.1%	5-19
Ages 40–59, male	35	10.9%	5-19
Ages 5–14, female	30	9.4%	5-19
Ages 40–59, female	30	9.4%	5-19
Ages 15–24, female	25	7.8%	5-19
Ages 60 and over, male	20	6.2%	5-19
Other / suppressed	15	4.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	180	49.3%	20-49
First move from municipality of birth	135	37.0%	5-19
Return to municipality of birth	50	13.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	90	51.4%	5-19
Other / suppressed	55	31.4%	5-19
Completed high school, incomplete higher education	30	17.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	120	32.4%	5-19
¼ to ½ minimum wage	115	31.1%	5-19
Up to ¼ of a minimum wage	75	20.3%	5-19
1 to 2 minimum wages	55	14.9%	5-19
Other / suppressed	5	1.4%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	105	28.0%	5-19
Ages 25–39, female	60	16.0%	5-19
Ages 15–24, male	50	13.3%	5-19
Other / suppressed	50	13.3%	5-19
Ages 40–59, female	40	10.7%	5-19
Ages 25–39, male	40	10.7%	5-19
Ages 40–59, male	30	8.0%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,540	57.6%	>=500
Completed high school, incomplete higher education	845	19.2%	100-499
Completed elementary, incomplete high school	700	15.9%	100-499
Completed higher education	325	7.4%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,220	33.0%	>=500
Up to ¼ of a minimum wage	2,150	32.0%	>=500
¼ to ½ minimum wage	1,605	23.9%	>=500
1 to 2 minimum wages	605	9.0%	100-499
More than 2 minimum wages	145	2.2%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	890	14.1%	100-499
Ages 40–59, male	790	12.5%	100-499
Ages 25–39, male	725	11.5%	100-499
Ages 25–39, female	720	11.4%	100-499
Ages 60 and over, female	705	11.2%	100-499
Ages 60 and over, male	580	9.2%	100-499
Ages 15–24, female	510	8.1%	100-499
Ages 15–24, male	505	8.0%	100-499
Ages 5–14, female	455	7.2%	100-499
Ages 5–14, male	435	6.9%	100-499

Commuting (work and study)

Commuting indicators for Doutor Severiano/RN
Employed persons (aged 10 and over)	1,385
Commute out to work in another municipality	245
Commute in from another municipality to work here	95
Net commuting	−145
Out-commuting rate (%)	17.55
Commuting attraction index	0.887
Median commuting time	30 min

Open Doutor Severiano/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]: Doutor Severiano/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/doutor-severiano-rn-2403202/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.