Migration in Vila Flor/RN (2017–2022)

Vila Flor/RN had a reference population (aged 5 or over in 2022) of 2,945 people. In the 2017–2022 five-year period, the municipality received 160 in-migrants and lost 140 out-migrants to other municipalities in Brazil, resulting in a net migration of +20 people (7.43 per 1,000 population) and a migration effectiveness index (IEM) of 0.074. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Vila Flor/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	160	91 to 229	use with caution
Out-migrants	140	67 to 213	use with caution
Net migration	+20	−80 to 120	not classified
Net migration rate, TLM (per 1,000 pop.)	7.43	-	-
Migration effectiveness index (IEM)	0.074	-	-

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Vila Flor/RN
Origin	People	Precision
Canguaretama/RN · view pair in the atlas	30	low precision
Natal/RN · view pair in the atlas	20	low precision
Pedro Velho/RN · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Vila Flor/RN
Destination	People	Precision
Dona Emma/SC · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	75	46.9%	20-49
Return to municipality of birth	45	28.1%	5-19
Multi-step migration	40	25.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	25	35.7%	5-19
No schooling or incomplete elementary	25	35.7%	5-19
Completed elementary, incomplete high school	20	28.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	75	46.9%	20-49
½ to 1 minimum wage	45	28.1%	5-19
Up to ¼ of a minimum wage	25	15.6%	5-19
Other / suppressed	15	9.4%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 5–14, female	25	15.6%	5-19
Ages 25–39, female	25	15.6%	5-19
Ages 15–24, female	25	15.6%	5-19
Ages 15–24, male	20	12.5%	5-19
Ages 5–14, male	20	12.5%	5-19
Ages 25–39, male	20	12.5%	5-19
Ages 40–59, female	15	9.4%	5-19
Other / suppressed	10	6.2%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	70	51.9%	5-19
First move from municipality of birth	45	33.3%	5-19
Other / suppressed	20	14.8%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Other / suppressed	40	50.0%	5-19
No schooling or incomplete elementary	40	50.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	60	44.4%	5-19
1 to 2 minimum wages	60	44.4%	5-19
Other / suppressed	15	11.1%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	115	85.2%	20-49
Ages 15–24, male	20	14.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,000	54.9%	100-499
Completed high school, incomplete higher education	440	24.2%	100-499
Completed elementary, incomplete high school	260	14.3%	50-99
Completed higher education	120	6.6%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	1,085	36.0%	100-499
½ to 1 minimum wage	1,030	34.2%	100-499
Up to ¼ of a minimum wage	480	15.9%	100-499
1 to 2 minimum wages	340	11.3%	100-499
More than 2 minimum wages	80	2.7%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	395	14.2%	100-499
Ages 40–59, male	365	13.1%	100-499
Ages 25–39, male	350	12.6%	100-499
Ages 40–59, female	335	12.1%	100-499
Ages 15–24, male	255	9.2%	50-99
Ages 5–14, male	250	9.0%	50-99
Ages 5–14, female	230	8.3%	50-99
Ages 15–24, female	220	7.9%	50-99
Ages 60 and over, male	185	6.7%	50-99
Ages 60 and over, female	180	6.5%	50-99
Other / suppressed	15	0.5%	5-19

Commuting (work and study)

Commuting indicators for Vila Flor/RN
Employed persons (aged 10 and over)	1,250
Commute out to work in another municipality	470
Commute in from another municipality to work here	35
Net commuting	−435
Out-commuting rate (%)	37.63
Commuting attraction index	0.638
Median commuting time	30 min

Open Vila Flor/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]: Vila Flor/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/vila-flor-rn-2415008/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.