Migration in Aurelino Leal/BA (2017–2022)

Aurelino Leal/BA had a reference population (aged 5 or over in 2022) of 10,385 people. In the 2017–2022 five-year period, the municipality received 680 in-migrants and lost 695 out-migrants to other municipalities in Brazil, resulting in a net migration of −15 people (−1.60 per 1,000 population) and a migration effectiveness index (IEM) of −0.012. This classifies the municipality, for the period, as one of migratory depletion. In addition, 15 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Aurelino Leal/BA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	680	514 to 846	good
Out-migrants	695	500 to 890	good
Net migration	−15	−271 to 241	not classified
Net migration rate, TLM (per 1,000 pop.)	−1.60	-	-
Migration effectiveness index (IEM)	−0.012	-	-

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 Aurelino Leal/BA
Origin	People	Precision
São Paulo/SP · view pair in the atlas	115	low precision
Ubaitaba/BA · view pair in the atlas	95	low precision
Itacaré/BA · view pair in the atlas	85	low precision
Gongogi/BA · view pair in the atlas	40	low precision
Itapitanga/BA · view pair in the atlas	35	low precision
Ilhéus/BA · view pair in the atlas	30	low precision
Paulo Afonso/BA · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from Aurelino Leal/BA
Destination	People	Precision
Ubaitaba/BA · view pair in the atlas	115	use with caution
Itacaré/BA · view pair in the atlas	60	low precision
Itapitanga/BA · view pair in the atlas	35	low precision
Gongogi/BA · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	270	39.7%	50-99
Multi-step migration	235	34.6%	20-49
Return to municipality of birth	175	25.7%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	195	47.0%	20-49
Completed high school, incomplete higher education	145	34.9%	20-49
Completed elementary, incomplete high school	40	9.6%	5-19
Completed higher education	35	8.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	215	31.6%	20-49
½ to 1 minimum wage	190	27.9%	20-49
Up to ¼ of a minimum wage	185	27.2%	20-49
1 to 2 minimum wages	65	9.6%	5-19
More than 2 minimum wages	25	3.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	110	16.2%	20-49
Ages 40–59, male	95	14.0%	20-49
Ages 5–14, female	80	11.8%	5-19
Ages 25–39, male	75	11.0%	5-19
Ages 15–24, male	70	10.3%	5-19
Ages 5–14, male	70	10.3%	5-19
Ages 40–59, female	60	8.8%	5-19
Ages 15–24, female	45	6.6%	5-19
Ages 60 and over, male	40	5.9%	5-19
Ages 60 and over, female	35	5.1%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	420	60.4%	50-99
Multi-step migration	220	31.7%	20-49
Return to municipality of birth	55	7.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	220	54.3%	20-49
Completed high school, incomplete higher education	105	25.9%	5-19
Completed elementary, incomplete high school	55	13.6%	5-19
Other / suppressed	25	6.2%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	245	34.8%	20-49
¼ to ½ minimum wage	160	22.7%	20-49
Up to ¼ of a minimum wage	155	22.0%	20-49
1 to 2 minimum wages	65	9.2%	5-19
More than 2 minimum wages	45	6.4%	5-19
Other / suppressed	35	5.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	115	16.8%	5-19
Ages 15–24, female	105	15.3%	5-19
Ages 25–39, male	90	13.1%	5-19
Ages 40–59, female	75	10.9%	5-19
Ages 15–24, male	75	10.9%	5-19
Ages 5–14, female	65	9.5%	5-19
Ages 40–59, male	60	8.8%	5-19
Other / suppressed	55	8.0%	5-19
Ages 5–14, male	45	6.6%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,715	58.4%	>=500
Completed high school, incomplete higher education	1,565	24.6%	100-499
Completed elementary, incomplete high school	665	10.4%	100-499
Completed higher education	420	6.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	3,645	34.8%	>=500
½ to 1 minimum wage	3,490	33.3%	>=500
Up to ¼ of a minimum wage	2,185	20.8%	100-499
1 to 2 minimum wages	870	8.3%	100-499
More than 2 minimum wages	295	2.8%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,285	13.3%	100-499
Ages 40–59, male	1,215	12.5%	100-499
Ages 25–39, female	1,160	12.0%	100-499
Ages 25–39, male	1,025	10.6%	100-499
Ages 60 and over, male	855	8.8%	100-499
Ages 5–14, male	855	8.8%	100-499
Ages 15–24, female	850	8.8%	100-499
Ages 5–14, female	825	8.5%	100-499
Ages 60 and over, female	820	8.5%	100-499
Ages 15–24, male	800	8.3%	100-499

Commuting (work and study)

Commuting indicators for Aurelino Leal/BA
Employed persons (aged 10 and over)	3,760
Commute out to work in another municipality	430
Commute in from another municipality to work here	295
Net commuting	−135
Out-commuting rate (%)	11.41
Commuting attraction index	0.934
Median commuting time	30 min

Open Aurelino Leal/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]: Aurelino Leal/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/aurelino-leal-ba-2902401/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.