Migration in Tenente Ananias/RN (2017–2022)

Tenente Ananias/RN had a reference population (aged 5 or over in 2022) of 9,580 people. In the 2017–2022 five-year period, the municipality received 875 in-migrants and lost 435 out-migrants to other municipalities in Brazil, resulting in a net migration of +440 people (45.76 per 1,000 population) and a migration effectiveness index (IEM) of 0.334. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Tenente Ananias/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	875	647 to 1,103	good
Out-migrants	435	272 to 598	use with caution
Net migration	+440	160 to 720	not classified
Net migration rate, TLM (per 1,000 pop.)	45.76	-	-
Migration effectiveness index (IEM)	0.334	-	-

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 Tenente Ananias/RN
Origin	People	Precision
Sousa/PB · view pair in the atlas	80	low precision
Lastro/PB · view pair in the atlas	55	low precision
Natal/RN · view pair in the atlas	55	low precision
Alexandria/RN · view pair in the atlas	50	low precision
Marcelino Vieira/RN · view pair in the atlas	45	low precision
São Paulo/SP · view pair in the atlas	45	low precision
Pau dos Ferros/RN · view pair in the atlas	40	low precision
Vieirópolis/PB · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from Tenente Ananias/RN
Destination	People	Precision
Alexandria/RN · view pair in the atlas	35	low precision
Paraná/RN · view pair in the atlas	25	low precision
José da Penha/RN · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	310	35.4%	50-99
First move from municipality of birth	300	34.3%	50-99
Multi-step migration	265	30.3%	50-99

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	215	43.0%	20-49
Completed high school, incomplete higher education	130	26.0%	20-49
Completed elementary, incomplete high school	100	20.0%	20-49
Completed higher education	55	11.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	315	35.8%	50-99
Up to ¼ of a minimum wage	280	31.8%	50-99
½ to 1 minimum wage	245	27.8%	20-49
1 to 2 minimum wages	35	4.0%	5-19
Other / suppressed	5	0.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	155	17.7%	20-49
Ages 15–24, male	120	13.7%	20-49
Ages 25–39, male	120	13.7%	20-49
Ages 40–59, female	110	12.6%	20-49
Ages 40–59, male	105	12.0%	20-49
Ages 5–14, male	100	11.4%	20-49
Ages 15–24, female	80	9.1%	5-19
Ages 5–14, female	75	8.6%	5-19
Other / suppressed	10	1.1%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	300	68.2%	50-99
Multi-step migration	85	19.3%	5-19
Return to municipality of birth	55	12.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	130	40.0%	20-49
Completed elementary, incomplete high school	80	24.6%	5-19
Completed high school, incomplete higher education	75	23.1%	5-19
Completed higher education	40	12.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	150	34.5%	20-49
1 to 2 minimum wages	85	19.5%	5-19
Up to ¼ of a minimum wage	85	19.5%	20-49
½ to 1 minimum wage	80	18.4%	5-19
Other / suppressed	35	8.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	125	28.1%	5-19
Ages 25–39, female	100	22.5%	5-19
Other / suppressed	75	16.9%	5-19
Ages 40–59, male	45	10.1%	5-19
Ages 15–24, female	30	6.7%	5-19
Ages 5–14, male	30	6.7%	5-19
Ages 60 and over, male	20	4.5%	5-19
Ages 5–14, female	20	4.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,975	65.7%	>=500
Completed high school, incomplete higher education	940	15.5%	100-499
Completed elementary, incomplete high school	795	13.1%	100-499
Completed higher education	340	5.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	3,225	34.3%	>=500
¼ to ½ minimum wage	2,550	27.2%	>=500
½ to 1 minimum wage	2,460	26.2%	100-499
1 to 2 minimum wages	975	10.4%	100-499
More than 2 minimum wages	175	1.9%	20-49
Other / suppressed	5	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,185	13.6%	100-499
Ages 40–59, female	1,170	13.4%	100-499
Ages 25–39, female	1,065	12.2%	100-499
Ages 25–39, male	1,000	11.5%	100-499
Ages 60 and over, female	860	9.9%	100-499
Ages 60 and over, male	770	8.9%	100-499
Ages 15–24, male	700	8.0%	100-499
Ages 15–24, female	665	7.6%	100-499
Ages 5–14, female	650	7.5%	100-499
Ages 5–14, male	635	7.3%	100-499

Commuting (work and study)

Commuting indicators for Tenente Ananias/RN
Employed persons (aged 10 and over)	2,410
Commute out to work in another municipality	375
Commute in from another municipality to work here	245
Net commuting	−130
Out-commuting rate (%)	15.53
Commuting attraction index	0.826
Median commuting time	480 min

Open Tenente Ananias/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]: Tenente Ananias/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/tenente-ananias-rn-2414100/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.