Migration in São Francisco do Conde/BA (2017–2022)

São Francisco do Conde/BA had a reference population (aged 5 or over in 2022) of 36,135 people. In the 2017–2022 five-year period, the municipality received 1,660 in-migrants and lost 1,635 out-migrants to other municipalities in Brazil, resulting in a net migration of +30 people (0.80 per 1,000 population) and a migration effectiveness index (IEM) of 0.009. This classifies the municipality, for the period, as one of migratory attraction. In addition, 30 arrived with an unreported origin and 205 came from abroad.

Indicators

Migration indicators for São Francisco do Conde/BA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,660	1,307 to 2,013	good
Out-migrants	1,635	1,257 to 2,013	good
Net migration	+30	−487 to 547	not classified
Net migration rate, TLM (per 1,000 pop.)	0.80	-	-
Migration effectiveness index (IEM)	0.009	-	-

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 São Francisco do Conde/BA
Origin	People	Precision
Salvador/BA · view pair in the atlas	395	use with caution
Candeias/BA · view pair in the atlas	285	use with caution
Madre de Deus/BA · view pair in the atlas	235	use with caution
São Sebastião do Passé/BA · view pair in the atlas	110	low precision
Santo Amaro/BA · view pair in the atlas	70	low precision
Feira de Santana/BA · view pair in the atlas	30	low precision
Petrolina/PE · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from São Francisco do Conde/BA
Destination	People	Precision
Candeias/BA · view pair in the atlas	225	use with caution
Santo Amaro/BA · view pair in the atlas	160	low precision
Salvador/BA · view pair in the atlas	160	low precision
Madre de Deus/BA · view pair in the atlas	105	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	765	46.1%	100-499
Multi-step migration	675	40.7%	100-499
Return to municipality of birth	220	13.3%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	435	42.0%	100-499
No schooling or incomplete elementary	320	30.9%	50-99
Completed elementary, incomplete high school	190	18.4%	20-49
Completed higher education	90	8.7%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	590	35.5%	100-499
½ to 1 minimum wage	410	24.7%	100-499
Up to ¼ of a minimum wage	290	17.5%	50-99
1 to 2 minimum wages	275	16.6%	50-99
More than 2 minimum wages	95	5.7%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	320	19.3%	50-99
Ages 15–24, male	200	12.0%	20-49
Ages 40–59, female	195	11.7%	20-49
Ages 15–24, female	170	10.2%	20-49
Ages 25–39, male	170	10.2%	20-49
Ages 40–59, male	165	9.9%	20-49
Ages 5–14, female	150	9.0%	20-49
Ages 5–14, male	105	6.3%	20-49
Ages 60 and over, female	95	5.7%	20-49
Ages 60 and over, male	90	5.4%	20-49

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	695	42.4%	50-99
First move from municipality of birth	670	40.9%	50-99
Return to municipality of birth	240	14.6%	20-49
Other / suppressed	35	2.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	520	53.3%	20-49
No schooling or incomplete elementary	190	19.5%	20-49
Completed elementary, incomplete high school	155	15.9%	5-19
Completed higher education	110	11.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	615	37.5%	50-99
¼ to ½ minimum wage	490	29.9%	20-49
Up to ¼ of a minimum wage	265	16.2%	20-49
1 to 2 minimum wages	230	14.0%	5-19
More than 2 minimum wages	40	2.4%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	315	19.4%	20-49
Ages 25–39, female	255	15.7%	20-49
Ages 40–59, female	220	13.5%	5-19
Ages 15–24, female	210	12.9%	20-49
Ages 5–14, male	170	10.5%	20-49
Ages 15–24, male	165	10.2%	5-19
Ages 40–59, male	140	8.6%	5-19
Ages 5–14, female	105	6.5%	5-19
Other / suppressed	45	2.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	8,705	37.9%	>=500
No schooling or incomplete elementary	8,625	37.5%	>=500
Completed elementary, incomplete high school	3,105	13.5%	>=500
Completed higher education	2,540	11.1%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	10,940	29.7%	>=500
¼ to ½ minimum wage	9,955	27.0%	>=500
½ to 1 minimum wage	9,490	25.8%	>=500
1 to 2 minimum wages	4,850	13.2%	>=500
More than 2 minimum wages	1,595	4.3%	100-499
Other / suppressed	5	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	5,580	16.3%	>=500
Ages 40–59, male	4,810	14.0%	>=500
Ages 25–39, female	4,740	13.8%	>=500
Ages 25–39, male	3,675	10.7%	>=500
Ages 15–24, male	2,840	8.3%	100-499
Ages 15–24, female	2,830	8.3%	100-499
Ages 5–14, male	2,810	8.2%	100-499
Ages 5–14, female	2,780	8.1%	100-499
Ages 60 and over, female	2,330	6.8%	100-499
Ages 60 and over, male	1,840	5.4%	100-499

Commuting (work and study)

Commuting indicators for São Francisco do Conde/BA
Employed persons (aged 10 and over)	12,505
Commute out to work in another municipality	2,150
Commute in from another municipality to work here	3,085
Net commuting	+940
Out-commuting rate (%)	17.18
Commuting attraction index	1.052
Median commuting time	60 min

This municipality is part of Região Metropolitana de Salvador → see the metropolitan region page

Open São Francisco do Conde/BA 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 Conde/BA. 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-conde-ba-2929206/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.