Migration in Frutuoso Gomes/RN (2017–2022)

Frutuoso Gomes/RN had a reference population (aged 5 or over in 2022) of 3,875 people. In the 2017–2022 five-year period, the municipality received 375 in-migrants and lost 400 out-migrants to other municipalities in Brazil, resulting in a net migration of −25 people (−6.44 per 1,000 population) and a migration effectiveness index (IEM) of −0.032. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Frutuoso Gomes/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	375	283 to 467	good
Out-migrants	400	145 to 655	low precision
Net migration	−25	−296 to 246	not classified
Net migration rate, TLM (per 1,000 pop.)	−6.44	-	-
Migration effectiveness index (IEM)	−0.032	-	-

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 Frutuoso Gomes/RN
Origin	People	Precision
São Paulo/SP · view pair in the atlas	75	use with caution
Mossoró/RN · view pair in the atlas	50	use with caution
Lucrécia/RN · view pair in the atlas	35	low precision
Natal/RN · view pair in the atlas	30	low precision
Campina Grande/PB · view pair in the atlas	25	low precision
Antônio Martins/RN · view pair in the atlas	20	low precision
João Dias/RN · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Frutuoso Gomes/RN
Destination	People	Precision
Serra do Mel/RN · view pair in the atlas	30	low precision
Almino Afonso/RN · view pair in the atlas	20	low precision
Rafael Godeiro/RN · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	150	40.0%	20-49
Return to municipality of birth	150	40.0%	50-99
Multi-step migration	75	20.0%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	105	42.0%	20-49
Completed high school, incomplete higher education	60	24.0%	20-49
Completed elementary, incomplete high school	50	20.0%	5-19
Completed higher education	35	14.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	140	37.3%	20-49
¼ to ½ minimum wage	125	33.3%	20-49
½ to 1 minimum wage	80	21.3%	20-49
1 to 2 minimum wages	25	6.7%	5-19
Other / suppressed	5	1.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	90	24.3%	20-49
Ages 25–39, male	60	16.2%	5-19
Ages 40–59, female	40	10.8%	5-19
Ages 5–14, female	40	10.8%	5-19
Ages 40–59, male	35	9.5%	5-19
Ages 15–24, female	35	9.5%	5-19
Ages 5–14, male	30	8.1%	5-19
Ages 60 and over, female	20	5.4%	5-19
Ages 15–24, male	15	4.1%	5-19
Other / suppressed	5	1.4%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	280	70.0%	20-49
Multi-step migration	105	26.2%	5-19
Return to municipality of birth	15	3.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	85	45.9%	5-19
Completed high school, incomplete higher education	55	29.7%	5-19
Other / suppressed	45	24.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	125	31.2%	5-19
½ to 1 minimum wage	105	26.2%	5-19
¼ to ½ minimum wage	105	26.2%	5-19
1 to 2 minimum wages	60	15.0%	5-19
Other / suppressed	5	1.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	100	25.0%	5-19
Other / suppressed	95	23.8%	5-19
Ages 25–39, female	60	15.0%	5-19
Ages 15–24, female	55	13.8%	5-19
Ages 25–39, male	50	12.5%	5-19
Ages 5–14, female	40	10.0%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,630	64.7%	>=500
Completed high school, incomplete higher education	480	19.0%	100-499
Completed elementary, incomplete high school	245	9.7%	50-99
Completed higher education	165	6.5%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	1,225	32.7%	100-499
½ to 1 minimum wage	1,120	29.9%	100-499
¼ to ½ minimum wage	870	23.2%	100-499
1 to 2 minimum wages	420	11.2%	100-499
More than 2 minimum wages	110	2.9%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	535	15.3%	100-499
Ages 40–59, male	525	15.0%	100-499
Ages 60 and over, female	405	11.6%	100-499
Ages 60 and over, male	355	10.1%	100-499
Ages 25–39, male	350	10.0%	100-499
Ages 25–39, female	350	10.0%	100-499
Ages 15–24, male	270	7.7%	50-99
Ages 5–14, male	255	7.3%	50-99
Ages 15–24, female	240	6.9%	50-99
Ages 5–14, female	215	6.1%	50-99

Commuting (work and study)

Commuting indicators for Frutuoso Gomes/RN
Employed persons (aged 10 and over)	750
Commute out to work in another municipality	85
Commute in from another municipality to work here	50
Net commuting	−40
Out-commuting rate (%)	11.66
Commuting attraction index	0.926
Median commuting time	20 min

Open Frutuoso Gomes/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]: Frutuoso Gomes/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/frutuoso-gomes-rn-2404002/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.