Migration in Wanderley/BA (2017–2022)

Wanderley/BA had a reference population (aged 5 or over in 2022) of 12,110 people. In the 2017–2022 five-year period, the municipality received 565 in-migrants and lost 780 out-migrants to other municipalities in Brazil, resulting in a net migration of −215 people (−17.70 per 1,000 population) and a migration effectiveness index (IEM) of −0.159. This classifies the municipality, for the period, as one of migratory depletion. In addition, 10 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Wanderley/BA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	565	401 to 729	good
Out-migrants	780	539 to 1,021	use with caution
Net migration	−215	−507 to 77	not classified
Net migration rate, TLM (per 1,000 pop.)	−17.70	-	-
Migration effectiveness index (IEM)	−0.159	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Wanderley/BA
Origin	People	Precision
Brasília/DF · view pair in the atlas	160	use with caution
Goiânia/GO · view pair in the atlas	115	low precision
Barreiras/BA · view pair in the atlas	75	low precision
Cotegipe/BA · view pair in the atlas	45	low precision
Barra/BA · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Wanderley/BA
Destination	People	Precision
Barreiras/BA · view pair in the atlas	180	low precision
Luís Eduardo Magalhães/BA · view pair in the atlas	125	low precision
Goiânia/GO · view pair in the atlas	80	low precision
Cristópolis/BA · view pair in the atlas	60	low precision
Cotegipe/BA · view pair in the atlas	35	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	270	47.8%	50-99
First move from municipality of birth	225	39.8%	50-99
Multi-step migration	70	12.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	135	41.5%	20-49
No schooling or incomplete elementary	95	29.2%	20-49
Completed higher education	50	15.4%	5-19
Completed elementary, incomplete high school	45	13.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	185	33.0%	20-49
½ to 1 minimum wage	175	31.2%	20-49
¼ to ½ minimum wage	110	19.6%	20-49
More than 2 minimum wages	55	9.8%	5-19
1 to 2 minimum wages	35	6.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	125	21.9%	20-49
Ages 5–14, male	85	14.9%	20-49
Ages 5–14, female	75	13.2%	5-19
Ages 25–39, male	75	13.2%	5-19
Ages 40–59, female	55	9.6%	5-19
Ages 15–24, male	55	9.6%	5-19
Ages 40–59, male	50	8.8%	5-19
Ages 15–24, female	25	4.4%	5-19
Other / suppressed	25	4.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	510	65.4%	50-99
Multi-step migration	150	19.2%	5-19
Return to municipality of birth	120	15.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	170	42.5%	20-49
Completed high school, incomplete higher education	115	28.8%	5-19
Completed elementary, incomplete high school	85	21.2%	5-19
Other / suppressed	30	7.5%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	270	34.6%	20-49
1 to 2 minimum wages	255	32.7%	20-49
¼ to ½ minimum wage	170	21.8%	20-49
Up to ¼ of a minimum wage	80	10.3%	5-19
Other / suppressed	5	0.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	160	20.6%	5-19
Ages 25–39, female	125	16.1%	5-19
Ages 25–39, male	125	16.1%	5-19
Ages 15–24, male	105	13.5%	5-19
Ages 5–14, female	80	10.3%	5-19
Ages 40–59, female	55	7.1%	5-19
Other / suppressed	45	5.8%	5-19
Ages 40–59, male	40	5.2%	5-19
Ages 60 and over, female	40	5.2%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	4,585	59.9%	>=500
Completed high school, incomplete higher education	1,875	24.5%	100-499
Completed elementary, incomplete high school	765	10.0%	100-499
Completed higher education	435	5.7%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	4,225	34.1%	>=500
½ to 1 minimum wage	4,140	33.4%	>=500
Up to ¼ of a minimum wage	2,615	21.1%	>=500
1 to 2 minimum wages	995	8.0%	100-499
More than 2 minimum wages	410	3.3%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,635	14.2%	100-499
Ages 40–59, female	1,440	12.5%	100-499
Ages 25–39, male	1,375	11.9%	100-499
Ages 25–39, female	1,235	10.7%	100-499
Ages 15–24, male	1,065	9.2%	100-499
Ages 15–24, female	995	8.6%	100-499
Ages 60 and over, male	995	8.6%	100-499
Ages 60 and over, female	980	8.5%	100-499
Ages 5–14, male	940	8.1%	100-499
Ages 5–14, female	875	7.6%	100-499

Commuting (work and study)

Commuting indicators for Wanderley/BA
Employed persons (aged 10 and over)	4,025
Commute out to work in another municipality	175
Commute in from another municipality to work here	70
Net commuting	−110
Out-commuting rate (%)	4.38
Commuting attraction index	0.958
Median commuting time	35 min

Open Wanderley/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]: Wanderley/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/wanderley-ba-2933455/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.