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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in São José da Vitória/BA (2017–2022)

São José da Vitória/BA had a reference population (aged 5 or over in 2022) of 4,950 people. In the 2017–2022 five-year period, the municipality received 455 in-migrants and lost 475 out-migrants to other municipalities in Brazil, resulting in a net migration of −20 people (−4.27 per 1,000 population) and a migration effectiveness index (IEM) of −0.023. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for São José da Vitória/BA, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants455346 to 564good
Out-migrants475265 to 685use with caution
Net migration−20−256 to 216not classified
Net migration rate, TLM (per 1,000 pop.)−4.27--
Migration effectiveness index (IEM)−0.023--

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 São José da Vitória/BA
OriginPeoplePrecision
Itabuna/BA · view pair in the atlas50low precision
Buerarema/BA · view pair in the atlas50low precision
Arataca/BA · view pair in the atlas40low precision
Porto Seguro/BA · view pair in the atlas30low precision
Barro Preto/BA · view pair in the atlas25low precision
Una/BA · view pair in the atlas25low precision
Jussari/BA · view pair in the atlas20low precision
Vitória/ES · view pair in the atlas15low precision
Camacan/BA · view pair in the atlas15low precision
Top 10 destinations of out-migrants from São José da Vitória/BA
DestinationPeoplePrecision
Itabuna/BA · view pair in the atlas135low precision
Buerarema/BA · view pair in the atlas45low precision
Arataca/BA · view pair in the atlas45low precision
Ilhéus/BA · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration27560.4%50-99
First move from municipality of birth12527.5%20-49
Return to municipality of birth5512.1%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary16058.2%50-99
Completed high school, incomplete higher education5520.0%5-19
Completed elementary, incomplete high school4014.5%5-19
Completed higher education207.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage20545.1%50-99
½ to 1 minimum wage10523.1%20-49
Up to ¼ of a minimum wage9019.8%20-49
1 to 2 minimum wages408.8%5-19
More than 2 minimum wages153.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female6514.1%20-49
Ages 15–24, female6013.0%20-49
Ages 40–59, male5512.0%5-19
Ages 25–39, male459.8%5-19
Ages 40–59, female459.8%5-19
Ages 5–14, female459.8%5-19
Ages 60 and over, male408.7%5-19
Ages 5–14, male408.7%5-19
Ages 15–24, male357.6%5-19
Ages 60 and over, female306.5%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration21044.2%20-49
First move from municipality of birth16534.7%5-19
Return to municipality of birth10021.1%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary14050.0%20-49
Completed high school, incomplete higher education9032.1%5-19
Completed elementary, incomplete high school3512.5%5-19
Other / suppressed155.4%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage18539.4%20-49
½ to 1 minimum wage14029.8%20-49
Up to ¼ of a minimum wage10522.3%5-19
Other / suppressed408.5%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, male8517.9%5-19
Ages 25–39, female6513.7%5-19
Ages 15–24, female6513.7%5-19
Ages 5–14, female5511.6%5-19
Ages 40–59, female5010.5%5-19
Ages 15–24, male408.4%5-19
Ages 40–59, male408.4%5-19
Ages 5–14, male357.4%5-19
Ages 60 and over, female255.3%5-19
Other / suppressed153.2%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,94561.8%>=500
Completed high school, incomplete higher education69021.9%100-499
Completed elementary, incomplete high school37511.9%100-499
Completed higher education1354.3%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,75536.1%>=500
¼ to ½ minimum wage1,59532.9%>=500
Up to ¼ of a minimum wage95019.6%100-499
1 to 2 minimum wages4509.3%100-499
More than 2 minimum wages1052.2%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, male64014.3%100-499
Ages 40–59, female63014.0%100-499
Ages 25–39, female51511.5%100-499
Ages 25–39, male47010.5%100-499
Ages 60 and over, male46010.2%100-499
Ages 60 and over, female4309.6%100-499
Ages 5–14, male3557.9%100-499
Ages 15–24, male3407.6%100-499
Ages 15–24, female3257.2%100-499
Ages 5–14, female3257.2%100-499

Commuting (work and study)

Commuting indicators for São José da Vitória/BA
Employed persons (aged 10 and over)1,680
Commute out to work in another municipality135
Commute in from another municipality to work here135
Net commuting0
Out-commuting rate (%)8.04
Commuting attraction index0.985
Median commuting time60 min

Open São José da Vitória/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 José da Vitória/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-jose-da-vitoria-ba-2929354/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.