Migration in Wagner/BA (2017–2022)

Wagner/BA had a reference population (aged 5 or over in 2022) of 8,940 people. In the 2017–2022 five-year period, the municipality received 415 in-migrants and lost 640 out-migrants to other municipalities in Brazil, resulting in a net migration of −225 people (−25.30 per 1,000 population) and a migration effectiveness index (IEM) of −0.214. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Wagner/BA, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	415	283 to 547	use with caution
Out-migrants	640	384 to 896	use with caution
Net migration	−225	−513 to 63	not classified
Net migration rate, TLM (per 1,000 pop.)	−25.30	-	-
Migration effectiveness index (IEM)	−0.214	-	-

Sample of in-migrants: 50-99 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 Wagner/BA
Origin	People	Precision
Salvador/BA · view pair in the atlas	70	low precision
São Paulo/SP · view pair in the atlas	60	low precision
Rio Verde/GO · view pair in the atlas	55	low precision
Lajedinho/BA · view pair in the atlas	45	low precision
Utinga/BA · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Wagner/BA
Destination	People	Precision
Rio Verde/GO · view pair in the atlas	160	low precision
Luís Eduardo Magalhães/BA · view pair in the atlas	45	low precision
Lajedinho/BA · view pair in the atlas	20	low precision
Utinga/BA · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	175	42.2%	20-49
First move from municipality of birth	130	31.3%	20-49
Return to municipality of birth	110	26.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	100	38.5%	20-49
Completed high school, incomplete higher education	95	36.5%	5-19
Completed elementary, incomplete high school	35	13.5%	5-19
Completed higher education	30	11.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	140	34.1%	20-49
Up to ¼ of a minimum wage	110	26.8%	20-49
½ to 1 minimum wage	80	19.5%	5-19
More than 2 minimum wages	40	9.8%	5-19
1 to 2 minimum wages	40	9.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	70	17.1%	5-19
Ages 25–39, male	60	14.6%	5-19
Ages 40–59, female	55	13.4%	5-19
Ages 15–24, female	50	12.2%	5-19
Ages 40–59, male	45	11.0%	5-19
Ages 5–14, female	40	9.8%	5-19
Ages 15–24, male	35	8.5%	5-19
Other / suppressed	30	7.3%	5-19
Ages 60 and over, female	25	6.1%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	425	66.4%	50-99
Multi-step migration	195	30.5%	20-49
Return to municipality of birth	20	3.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	165	55.9%	5-19
No schooling or incomplete elementary	60	20.3%	5-19
Completed elementary, incomplete high school	35	11.9%	5-19
Other / suppressed	35	11.9%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	200	31.0%	20-49
¼ to ½ minimum wage	130	20.2%	5-19
Up to ¼ of a minimum wage	120	18.6%	20-49
1 to 2 minimum wages	105	16.3%	5-19
More than 2 minimum wages	85	13.2%	5-19
Other / suppressed	5	0.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	155	24.4%	5-19
Ages 25–39, female	95	15.0%	5-19
Ages 5–14, female	85	13.4%	5-19
Ages 25–39, male	80	12.6%	5-19
Ages 5–14, male	60	9.4%	5-19
Ages 40–59, female	55	8.7%	5-19
Ages 15–24, male	40	6.3%	5-19
Other / suppressed	35	5.5%	<5
Ages 40–59, male	30	4.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,190	55.0%	>=500
Completed high school, incomplete higher education	1,515	26.1%	100-499
Completed elementary, incomplete high school	715	12.3%	100-499
Completed higher education	385	6.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	2,805	30.9%	>=500
Up to ¼ of a minimum wage	2,725	30.0%	>=500
½ to 1 minimum wage	2,690	29.6%	>=500
1 to 2 minimum wages	740	8.1%	100-499
More than 2 minimum wages	125	1.4%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,145	13.4%	100-499
Ages 40–59, male	1,095	12.9%	100-499
Ages 25–39, female	1,065	12.5%	100-499
Ages 25–39, male	1,020	12.0%	100-499
Ages 60 and over, female	785	9.2%	100-499
Ages 15–24, male	750	8.8%	100-499
Ages 15–24, female	695	8.2%	100-499
Ages 60 and over, male	690	8.1%	100-499
Ages 5–14, male	645	7.6%	100-499
Ages 5–14, female	630	7.4%	100-499

Commuting (work and study)

Commuting indicators for Wagner/BA
Employed persons (aged 10 and over)	3,410
Commute out to work in another municipality	160
Commute in from another municipality to work here	70
Net commuting	−90
Out-commuting rate (%)	4.76
Commuting attraction index	0.968
Median commuting time	30 min

Open Wagner/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]: Wagner/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/wagner-ba-2933406/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.