Migration in São Francisco/SE (2017–2022)

São Francisco/SE had a reference population (aged 5 or over in 2022) of 3,035 people. In the 2017–2022 five-year period, the municipality received 265 in-migrants and lost 315 out-migrants to other municipalities in Brazil, resulting in a net migration of −50 people (−16.07 per 1,000 population) and a migration effectiveness index (IEM) of −0.084. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for São Francisco/SE, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	265	182 to 348	use with caution
Out-migrants	315	167 to 463	use with caution
Net migration	−50	−219 to 119	not classified
Net migration rate, TLM (per 1,000 pop.)	−16.07	-	-
Migration effectiveness index (IEM)	−0.084	-	-

Sample of in-migrants: 50-99 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 São Francisco/SE
Origin	People	Precision
Malhada dos Bois/SE · view pair in the atlas	50	low precision
Aracaju/SE · view pair in the atlas	35	low precision
Propriá/SE · view pair in the atlas	25	low precision
Japoatã/SE · view pair in the atlas	25	low precision
Nossa Senhora do Socorro/SE · view pair in the atlas	20	low precision
São Paulo/SP · view pair in the atlas	20	low precision
Muribeca/SE · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from São Francisco/SE
Destination	People	Precision
Japoatã/SE · view pair in the atlas	35	low precision
Malhada dos Bois/SE · view pair in the atlas	30	low precision
Muribeca/SE · 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	110	41.5%	20-49
First move from municipality of birth	110	41.5%	20-49
Return to municipality of birth	45	17.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	70	51.9%	20-49
Completed high school, incomplete higher education	35	25.9%	5-19
Completed elementary, incomplete high school	20	14.8%	5-19
Other / suppressed	10	7.4%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	125	47.2%	20-49
Up to ¼ of a minimum wage	55	20.8%	5-19
½ to 1 minimum wage	45	17.0%	5-19
1 to 2 minimum wages	35	13.2%	5-19
Other / suppressed	5	1.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	45	17.3%	5-19
Ages 25–39, male	40	15.4%	5-19
Ages 5–14, female	30	11.5%	5-19
Ages 40–59, female	30	11.5%	5-19
Ages 15–24, male	30	11.5%	5-19
Ages 5–14, male	25	9.6%	5-19
Ages 25–39, female	25	9.6%	5-19
Other / suppressed	20	7.7%	5-19
Ages 60 and over, male	15	5.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	165	51.6%	20-49
Multi-step migration	130	40.6%	20-49
Other / suppressed	25	7.8%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	75	48.4%	5-19
Completed high school, incomplete higher education	40	25.8%	5-19
Completed elementary, incomplete high school	35	22.6%	5-19
Other / suppressed	5	3.2%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	130	40.6%	20-49
1 to 2 minimum wages	85	26.6%	5-19
¼ to ½ minimum wage	70	21.9%	5-19
Up to ¼ of a minimum wage	35	10.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	55	17.7%	5-19
Ages 15–24, female	55	17.7%	5-19
Ages 25–39, male	45	14.5%	5-19
Ages 40–59, male	45	14.5%	5-19
Ages 25–39, female	35	11.3%	5-19
Ages 5–14, male	25	8.1%	5-19
Ages 5–14, female	25	8.1%	5-19
Other / suppressed	25	8.1%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,115	59.3%	100-499
Completed high school, incomplete higher education	410	21.8%	100-499
Completed higher education	205	10.9%	50-99
Completed elementary, incomplete high school	150	8.0%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,015	34.0%	100-499
¼ to ½ minimum wage	935	31.3%	100-499
Up to ¼ of a minimum wage	655	21.9%	100-499
1 to 2 minimum wages	290	9.7%	100-499
More than 2 minimum wages	90	3.0%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	435	15.7%	100-499
Ages 40–59, male	420	15.1%	100-499
Ages 25–39, female	320	11.5%	50-99
Ages 25–39, male	285	10.3%	50-99
Ages 15–24, male	240	8.6%	50-99
Ages 5–14, female	225	8.1%	50-99
Ages 60 and over, female	220	7.9%	50-99
Ages 60 and over, male	210	7.6%	50-99
Ages 15–24, female	210	7.6%	50-99
Ages 5–14, male	210	7.6%	50-99

Commuting (work and study)

Commuting indicators for São Francisco/SE
Employed persons (aged 10 and over)	1,140
Commute out to work in another municipality	280
Commute in from another municipality to work here	130
Net commuting	−150
Out-commuting rate (%)	24.49
Commuting attraction index	0.857
Median commuting time	30 min

Open São Francisco/SE 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/SE. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-francisco-se-2806909/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.