Migration in São Gabriel/BA (2017–2022)

São Gabriel/BA had a reference population (aged 5 or over in 2022) of 17,420 people. In the 2017–2022 five-year period, the municipality received 1,075 in-migrants and lost 980 out-migrants to other municipalities in Brazil, resulting in a net migration of +95 people (5.51 per 1,000 population) and a migration effectiveness index (IEM) of 0.047. This classifies the municipality, for the period, as one of migratory attraction. In addition, 65 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for São Gabriel/BA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	1,075	858 to 1,292	good
Out-migrants	980	675 to 1,285	use with caution
Net migration	+95	−280 to 470	not classified
Net migration rate, TLM (per 1,000 pop.)	5.51	-	-
Migration effectiveness index (IEM)	0.047	-	-

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 Gabriel/BA
Origin	People	Precision
Irecê/BA · view pair in the atlas	270	use with caution
São Paulo/SP · view pair in the atlas	155	use with caution
Brasília/DF · view pair in the atlas	85	low precision
Jussara/BA · view pair in the atlas	75	low precision
Luís Eduardo Magalhães/BA · view pair in the atlas	70	low precision

Top 10 destinations of out-migrants from São Gabriel/BA
Destination	People	Precision
Irecê/BA · view pair in the atlas	215	low precision
Luís Eduardo Magalhães/BA · view pair in the atlas	100	low precision
Jussara/BA · view pair in the atlas	70	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	460	42.8%	50-99
First move from municipality of birth	365	34.0%	50-99
Multi-step migration	250	23.3%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	270	37.8%	50-99
Completed high school, incomplete higher education	255	35.7%	20-49
Completed elementary, incomplete high school	100	14.0%	5-19
Completed higher education	90	12.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	430	39.8%	50-99
¼ to ½ minimum wage	275	25.5%	50-99
Up to ¼ of a minimum wage	240	22.2%	20-49
More than 2 minimum wages	80	7.4%	5-19
1 to 2 minimum wages	55	5.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	240	22.3%	20-49
Ages 25–39, male	150	14.0%	20-49
Ages 40–59, male	135	12.6%	20-49
Ages 5–14, male	105	9.8%	5-19
Ages 40–59, female	95	8.8%	5-19
Ages 5–14, female	95	8.8%	5-19
Ages 15–24, female	85	7.9%	5-19
Ages 15–24, male	80	7.4%	5-19
Ages 60 and over, male	55	5.1%	5-19
Ages 60 and over, female	35	3.3%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	570	58.2%	50-99
Return to municipality of birth	220	22.4%	20-49
Multi-step migration	190	19.4%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	200	39.6%	20-49
No schooling or incomplete elementary	125	24.8%	20-49
Completed higher education	105	20.8%	5-19
Completed elementary, incomplete high school	75	14.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	340	34.7%	20-49
1 to 2 minimum wages	290	29.6%	20-49
¼ to ½ minimum wage	200	20.4%	20-49
Up to ¼ of a minimum wage	105	10.7%	5-19
Other / suppressed	45	4.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	185	19.1%	20-49
Ages 25–39, male	175	18.0%	20-49
Ages 25–39, female	150	15.5%	20-49
Ages 15–24, male	130	13.4%	5-19
Ages 5–14, female	90	9.3%	5-19
Ages 40–59, male	80	8.2%	5-19
Ages 5–14, male	65	6.7%	5-19
Ages 40–59, female	65	6.7%	5-19
Other / suppressed	30	3.1%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	6,350	57.8%	>=500
Completed high school, incomplete higher education	2,800	25.5%	>=500
Completed elementary, incomplete high school	1,290	11.7%	100-499
Completed higher education	555	5.0%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	5,645	32.3%	>=500
½ to 1 minimum wage	5,495	31.5%	>=500
¼ to ½ minimum wage	4,720	27.0%	>=500
1 to 2 minimum wages	1,275	7.3%	100-499
More than 2 minimum wages	320	1.8%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	2,315	14.2%	100-499
Ages 40–59, female	2,280	14.0%	100-499
Ages 25–39, male	1,825	11.2%	100-499
Ages 25–39, female	1,755	10.8%	100-499
Ages 15–24, male	1,455	8.9%	100-499
Ages 60 and over, female	1,430	8.8%	100-499
Ages 60 and over, male	1,390	8.5%	100-499
Ages 15–24, female	1,360	8.4%	100-499
Ages 5–14, male	1,275	7.8%	100-499
Ages 5–14, female	1,195	7.3%	100-499

Commuting (work and study)

Commuting indicators for São Gabriel/BA
Employed persons (aged 10 and over)	5,735
Commute out to work in another municipality	1,010
Commute in from another municipality to work here	185
Net commuting	−825
Out-commuting rate (%)	17.62
Commuting attraction index	0.835
Median commuting time	30 min

Open São Gabriel/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 Gabriel/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-gabriel-ba-2929255/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.