Migration in Santana do São Francisco/SE (2017–2022)

Santana do São Francisco/SE had a reference population (aged 5 or over in 2022) of 6,740 people. In the 2017–2022 five-year period, the municipality received 485 in-migrants and lost 310 out-migrants to other municipalities in Brazil, resulting in a net migration of +175 people (25.86 per 1,000 population) and a migration effectiveness index (IEM) of 0.220. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Santana do São Francisco/SE, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	485	362 to 608	good
Out-migrants	310	178 to 442	use with caution
Net migration	+175	−5 to 355	not classified
Net migration rate, TLM (per 1,000 pop.)	25.86	-	-
Migration effectiveness index (IEM)	0.220	-	-

Sample of in-migrants: 100-499 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 Santana do São Francisco/SE
Origin	People	Precision
Aracaju/SE · view pair in the atlas	130	use with caution
Neópolis/SE · view pair in the atlas	90	use with caution
Penedo/AL · view pair in the atlas	40	low precision
São Paulo/SP · view pair in the atlas	35	low precision
Pomerode/SC · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Santana do São Francisco/SE
Destination	People	Precision
Neópolis/SE · view pair in the atlas	100	low precision
Pomerode/SC · view pair in the atlas	60	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	205	42.3%	50-99
First move from municipality of birth	205	42.3%	50-99
Return to municipality of birth	75	15.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	145	52.7%	20-49
Completed high school, incomplete higher education	70	25.5%	20-49
Completed elementary, incomplete high school	40	14.5%	5-19
Completed higher education	20	7.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	175	36.1%	50-99
Up to ¼ of a minimum wage	135	27.8%	20-49
½ to 1 minimum wage	105	21.6%	20-49
1 to 2 minimum wages	50	10.3%	5-19
More than 2 minimum wages	20	4.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 5–14, male	90	18.8%	20-49
Ages 25–39, female	85	17.7%	20-49
Ages 25–39, male	75	15.6%	20-49
Ages 5–14, female	60	12.5%	5-19
Ages 40–59, female	40	8.3%	5-19
Ages 15–24, female	35	7.3%	5-19
Ages 40–59, male	35	7.3%	5-19
Ages 60 and over, male	25	5.2%	5-19
Ages 15–24, male	20	4.2%	5-19
Other / suppressed	15	3.1%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	175	56.5%	20-49
First move from municipality of birth	90	29.0%	5-19
Return to municipality of birth	45	14.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	80	40.0%	5-19
No schooling or incomplete elementary	70	35.0%	5-19
Other / suppressed	50	25.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	90	29.0%	5-19
½ to 1 minimum wage	85	27.4%	5-19
Up to ¼ of a minimum wage	60	19.4%	5-19
¼ to ½ minimum wage	45	14.5%	5-19
Other / suppressed	30	9.7%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	100	32.3%	5-19
Ages 25–39, female	70	22.6%	5-19
Ages 25–39, male	60	19.4%	5-19
Ages 15–24, female	55	17.7%	5-19
Ages 40–59, male	25	8.1%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,190	54.9%	>=500
Completed high school, incomplete higher education	1,050	26.3%	100-499
Completed elementary, incomplete high school	510	12.8%	100-499
Completed higher education	240	6.0%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,190	31.9%	>=500
¼ to ½ minimum wage	2,125	31.0%	>=500
Up to ¼ of a minimum wage	1,780	25.9%	>=500
1 to 2 minimum wages	600	8.7%	100-499
More than 2 minimum wages	170	2.5%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	845	13.5%	100-499
Ages 40–59, female	820	13.1%	100-499
Ages 25–39, female	790	12.6%	100-499
Ages 25–39, male	725	11.6%	100-499
Ages 5–14, male	570	9.1%	100-499
Ages 15–24, male	560	9.0%	100-499
Ages 15–24, female	560	9.0%	100-499
Ages 5–14, female	555	8.9%	100-499
Ages 60 and over, female	430	6.9%	100-499
Ages 60 and over, male	370	5.9%	100-499
Other / suppressed	30	0.5%	5-19

Commuting (work and study)

Commuting indicators for Santana do São Francisco/SE
Employed persons (aged 10 and over)	2,395
Commute out to work in another municipality	385
Commute in from another municipality to work here	150
Net commuting	−235
Out-commuting rate (%)	16.08
Commuting attraction index	0.868
Median commuting time	30 min

Open Santana do 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]: Santana do 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/santana-do-sao-francisco-se-2806404/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.