Migration in São Francisco do Oeste/RN (2017–2022)

São Francisco do Oeste/RN had a reference population (aged 5 or over in 2022) of 3,930 people. In the 2017–2022 five-year period, the municipality received 270 in-migrants and lost 190 out-migrants to other municipalities in Brazil, resulting in a net migration of +80 people (20.07 per 1,000 population) and a migration effectiveness index (IEM) of 0.172. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for São Francisco do Oeste/RN, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	270	188 to 352	use with caution
Out-migrants	190	71 to 309	low precision
Net migration	+80	−64 to 224	not classified
Net migration rate, TLM (per 1,000 pop.)	20.07	-	-
Migration effectiveness index (IEM)	0.172	-	-

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 São Francisco do Oeste/RN
Origin	People	Precision
Pau dos Ferros/RN · view pair in the atlas	55	low precision
São Paulo/SP · view pair in the atlas	25	low precision
Francisco Dantas/RN · view pair in the atlas	25	low precision
Taboleiro Grande/RN · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from São Francisco do Oeste/RN
Destination	People	Precision
Francisco Dantas/RN · view pair in the atlas	20	low precision
Taboleiro Grande/RN · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	150	55.6%	20-49
First move from municipality of birth	85	31.5%	20-49
Return to municipality of birth	35	13.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	120	61.5%	20-49
Completed high school, incomplete higher education	40	20.5%	5-19
Completed elementary, incomplete high school	20	10.3%	5-19
Completed higher education	15	7.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	95	34.5%	20-49
¼ to ½ minimum wage	85	30.9%	20-49
1 to 2 minimum wages	45	16.4%	5-19
Up to ¼ of a minimum wage	40	14.5%	5-19
Other / suppressed	10	3.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	50	18.9%	5-19
Ages 25–39, female	45	17.0%	5-19
Ages 40–59, female	40	15.1%	5-19
Ages 40–59, male	35	13.2%	5-19
Other / suppressed	35	13.2%	5-19
Ages 15–24, female	25	9.4%	5-19
Ages 15–24, male	20	7.5%	5-19
Ages 60 and over, male	15	5.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	90	48.6%	5-19
First move from municipality of birth	60	32.4%	5-19
Return to municipality of birth	35	18.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	65	44.8%	5-19
No schooling or incomplete elementary	55	37.9%	5-19
Other / suppressed	25	17.2%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	65	33.3%	5-19
½ to 1 minimum wage	60	30.8%	5-19
1 to 2 minimum wages	50	25.6%	5-19
Other / suppressed	20	10.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	95	50.0%	5-19
Ages 25–39, male	55	28.9%	5-19
Ages 40–59, male	25	13.2%	5-19
Ages 15–24, female	15	7.9%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,465	55.9%	100-499
Completed high school, incomplete higher education	575	21.9%	100-499
Completed elementary, incomplete high school	315	12.0%	100-499
Completed higher education	265	10.1%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,420	36.5%	100-499
¼ to ½ minimum wage	1,180	30.3%	100-499
1 to 2 minimum wages	630	16.2%	100-499
Up to ¼ of a minimum wage	500	12.9%	100-499
More than 2 minimum wages	160	4.1%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	540	14.7%	100-499
Ages 40–59, male	520	14.2%	100-499
Ages 25–39, female	430	11.7%	100-499
Ages 25–39, male	420	11.5%	100-499
Ages 60 and over, female	380	10.4%	100-499
Ages 60 and over, male	330	9.0%	100-499
Ages 15–24, male	285	7.8%	50-99
Ages 5–14, male	270	7.4%	50-99
Ages 15–24, female	250	6.8%	50-99
Ages 5–14, female	240	6.5%	50-99

Commuting (work and study)

Commuting indicators for São Francisco do Oeste/RN
Employed persons (aged 10 and over)	1,475
Commute out to work in another municipality	215
Commute in from another municipality to work here	55
Net commuting	−160
Out-commuting rate (%)	14.53
Commuting attraction index	0.882
Median commuting time	30 min

Open São Francisco do Oeste/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]: São Francisco do Oeste/RN. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-francisco-do-oeste-rn-2411908/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.