Migration in Florânia/RN (2017–2022)

Florânia/RN had a reference population (aged 5 or over in 2022) of 9,630 people. In the 2017–2022 five-year period, the municipality received 665 in-migrants and lost 650 out-migrants to other municipalities in Brazil, resulting in a net migration of +15 people (1.74 per 1,000 population) and a migration effectiveness index (IEM) of 0.013. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Florânia/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	665	474 to 856	good
Out-migrants	650	410 to 890	use with caution
Net migration	+15	−292 to 322	not classified
Net migration rate, TLM (per 1,000 pop.)	1.74	-	-
Migration effectiveness index (IEM)	0.013	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Florânia/RN
Origin	People	Precision
Natal/RN · view pair in the atlas	200	use with caution
Currais Novos/RN · view pair in the atlas	40	low precision
Tenente Laurentino Cruz/RN · view pair in the atlas	40	low precision
Cruzeta/RN · view pair in the atlas	35	low precision
Bento Gonçalves/RS · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from Florânia/RN
Destination	People	Precision
Tenente Laurentino Cruz/RN · view pair in the atlas	55	use with caution
Parnamirim/RN · view pair in the atlas	50	low precision
Jucurutu/RN · view pair in the atlas	40	low precision
São Vicente/RN · view pair in the atlas	25	low precision
Santana do Matos/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	280	42.4%	50-99
First move from municipality of birth	205	31.1%	20-49
Multi-step migration	175	26.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	155	36.9%	20-49
No schooling or incomplete elementary	150	35.7%	20-49
Completed higher education	65	15.5%	5-19
Completed elementary, incomplete high school	50	11.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	170	25.6%	20-49
½ to 1 minimum wage	160	24.1%	20-49
¼ to ½ minimum wage	160	24.1%	20-49
1 to 2 minimum wages	105	15.8%	20-49
More than 2 minimum wages	70	10.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	130	19.3%	20-49
Ages 40–59, male	110	16.3%	5-19
Ages 25–39, male	80	11.9%	5-19
Ages 40–59, female	75	11.1%	5-19
Ages 15–24, female	75	11.1%	5-19
Ages 5–14, male	65	9.6%	5-19
Ages 5–14, female	55	8.1%	5-19
Ages 15–24, male	55	8.1%	5-19
Other / suppressed	30	4.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	385	59.7%	50-99
Multi-step migration	185	28.7%	20-49
Return to municipality of birth	75	11.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	185	48.1%	20-49
Completed high school, incomplete higher education	120	31.2%	20-49
Completed elementary, incomplete high school	55	14.3%	5-19
Other / suppressed	25	6.5%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	195	30.2%	20-49
1 to 2 minimum wages	165	25.6%	20-49
¼ to ½ minimum wage	135	20.9%	20-49
Up to ¼ of a minimum wage	90	14.0%	20-49
More than 2 minimum wages	60	9.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	130	20.3%	20-49
Ages 40–59, male	100	15.6%	5-19
Ages 25–39, male	85	13.3%	5-19
Ages 40–59, female	75	11.7%	5-19
Ages 25–39, female	70	10.9%	5-19
Ages 15–24, male	60	9.4%	5-19
Ages 5–14, female	50	7.8%	5-19
Other / suppressed	45	7.0%	5-19
Ages 5–14, male	25	3.9%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,340	51.5%	>=500
Completed high school, incomplete higher education	1,910	29.5%	100-499
Completed elementary, incomplete high school	675	10.4%	100-499
Completed higher education	555	8.6%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,230	33.9%	>=500
¼ to ½ minimum wage	2,530	26.5%	100-499
Up to ¼ of a minimum wage	2,220	23.3%	100-499
1 to 2 minimum wages	1,070	11.2%	100-499
More than 2 minimum wages	485	5.1%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,310	14.6%	100-499
Ages 40–59, female	1,305	14.6%	100-499
Ages 25–39, male	1,090	12.2%	100-499
Ages 25–39, female	1,055	11.8%	100-499
Ages 60 and over, female	895	10.0%	100-499
Ages 60 and over, male	825	9.2%	100-499
Ages 15–24, male	680	7.6%	100-499
Ages 15–24, female	615	6.9%	100-499
Ages 5–14, female	605	6.8%	100-499
Ages 5–14, male	580	6.5%	100-499

Commuting (work and study)

Commuting indicators for Florânia/RN
Employed persons (aged 10 and over)	3,335
Commute out to work in another municipality	575
Commute in from another municipality to work here	130
Net commuting	−445
Out-commuting rate (%)	17.17
Commuting attraction index	0.848
Median commuting time	40 min

Open Florânia/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]: Florânia/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/florania-rn-2403806/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.