Migration in Baixa Grande/BA (2017–2022)

Baixa Grande/BA had a reference population (aged 5 or over in 2022) of 17,210 people. In the 2017–2022 five-year period, the municipality received 870 in-migrants and lost 1,210 out-migrants to other municipalities in Brazil, resulting in a net migration of −340 people (−19.66 per 1,000 population) and a migration effectiveness index (IEM) of −0.163. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Baixa Grande/BA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	870	593 to 1,147	use with caution
Out-migrants	1,210	875 to 1,545	good
Net migration	−340	−775 to 95	not classified
Net migration rate, TLM (per 1,000 pop.)	−19.66	-	-
Migration effectiveness index (IEM)	−0.163	-	-

Sample of in-migrants: 50-99 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 Baixa Grande/BA
Origin	People	Precision
Salvador/BA · view pair in the atlas	240	use with caution
Feira de Santana/BA · view pair in the atlas	85	low precision

Top 10 destinations of out-migrants from Baixa Grande/BA
Destination	People	Precision
Salvador/BA · view pair in the atlas	195	low precision
Feira de Santana/BA · view pair in the atlas	100	low precision
Ipirá/BA · view pair in the atlas	70	low precision
Macajuba/BA · view pair in the atlas	65	low precision
Luís Eduardo Magalhães/BA · view pair in the atlas	60	low precision
Itaberaba/BA · view pair in the atlas	50	low precision
Mairi/BA · view pair in the atlas	25	low precision
Pintadas/BA · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	400	46.0%	20-49
First move from municipality of birth	285	32.8%	20-49
Multi-step migration	185	21.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	220	38.9%	20-49
Completed high school, incomplete higher education	190	33.6%	20-49
Completed higher education	90	15.9%	5-19
Completed elementary, incomplete high school	65	11.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	405	46.3%	20-49
Up to ¼ of a minimum wage	185	21.1%	5-19
½ to 1 minimum wage	135	15.4%	5-19
1 to 2 minimum wages	90	10.3%	5-19
More than 2 minimum wages	60	6.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	155	17.6%	5-19
Ages 40–59, female	140	15.9%	5-19
Ages 15–24, female	125	14.2%	5-19
Ages 25–39, male	115	13.1%	5-19
Other / suppressed	80	9.1%	5-19
Ages 40–59, male	70	8.0%	5-19
Ages 5–14, male	70	8.0%	5-19
Ages 15–24, male	65	7.4%	5-19
Ages 60 and over, male	60	6.8%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	760	62.8%	50-99
Multi-step migration	280	23.1%	20-49
Return to municipality of birth	170	14.0%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	295	45.0%	20-49
No schooling or incomplete elementary	230	35.1%	20-49
Completed elementary, incomplete high school	85	13.0%	5-19
Completed higher education	45	6.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	480	39.7%	50-99
¼ to ½ minimum wage	330	27.3%	20-49
1 to 2 minimum wages	240	19.8%	20-49
Up to ¼ of a minimum wage	135	11.2%	20-49
Other / suppressed	25	2.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	245	20.2%	20-49
Ages 25–39, male	210	17.4%	20-49
Ages 25–39, female	185	15.3%	20-49
Ages 15–24, male	155	12.8%	5-19
Ages 40–59, male	115	9.5%	5-19
Ages 40–59, female	115	9.5%	5-19
Ages 5–14, male	80	6.6%	5-19
Ages 5–14, female	75	6.2%	5-19
Other / suppressed	30	2.5%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	7,260	65.0%	>=500
Completed high school, incomplete higher education	2,380	21.3%	100-499
Completed elementary, incomplete high school	925	8.3%	50-99
Completed higher education	610	5.5%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	5,265	30.4%	>=500
Up to ¼ of a minimum wage	5,235	30.2%	>=500
½ to 1 minimum wage	5,070	29.2%	100-499
1 to 2 minimum wages	1,270	7.3%	100-499
More than 2 minimum wages	475	2.7%	20-49
Other / suppressed	30	0.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	2,230	13.6%	100-499
Ages 40–59, female	2,205	13.5%	100-499
Ages 60 and over, female	1,780	10.9%	100-499
Ages 25–39, female	1,745	10.7%	100-499
Ages 25–39, male	1,615	9.9%	100-499
Ages 60 and over, male	1,600	9.8%	100-499
Ages 15–24, male	1,445	8.8%	100-499
Ages 15–24, female	1,305	8.0%	100-499
Ages 5–14, male	1,270	7.8%	100-499
Ages 5–14, female	1,145	7.0%	100-499

Commuting (work and study)

Commuting indicators for Baixa Grande/BA
Employed persons (aged 10 and over)	5,115
Commute out to work in another municipality	430
Commute in from another municipality to work here	115
Net commuting	−320
Out-commuting rate (%)	8.44
Commuting attraction index	0.922
Median commuting time	60 min

Open Baixa Grande/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]: Baixa Grande/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/baixa-grande-ba-2902609/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.