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

Migration in Pé de Serra/BA (2017–2022)

Pé de Serra/BA had a reference population (aged 5 or over in 2022) of 12,490 people. In the 2017–2022 five-year period, the municipality received 900 in-migrants and lost 860 out-migrants to other municipalities in Brazil, resulting in a net migration of +35 people (2.96 per 1,000 population) and a migration effectiveness index (IEM) of 0.021. This classifies the municipality, for the period, as one of migratory attraction. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Pé de Serra/BA, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants900708 to 1,092good
Out-migrants860504 to 1,216use with caution
Net migration+35−370 to 440not classified
Net migration rate, TLM (per 1,000 pop.)2.96--
Migration effectiveness index (IEM)0.021--

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 Pé de Serra/BA
OriginPeoplePrecision
Feira de Santana/BA · view pair in the atlas170use with caution
São Paulo/SP · view pair in the atlas75low precision
Riachão do Jacuípe/BA · view pair in the atlas65low precision
Salvador/BA · view pair in the atlas60low precision
Ipirá/BA · view pair in the atlas60low precision
Rio de Janeiro/RJ · view pair in the atlas45low precision
Capela do Alto Alegre/BA · view pair in the atlas35low precision
Ribeirão Preto/SP · view pair in the atlas30low precision
Top 10 destinations of out-migrants from Pé de Serra/BA
DestinationPeoplePrecision
Feira de Santana/BA · view pair in the atlas165low precision
Riachão do Jacuípe/BA · view pair in the atlas105low precision
Américo Brasiliense/SP · view pair in the atlas65low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth34037.8%50-99
First move from municipality of birth28531.7%50-99
Multi-step migration27530.6%50-99
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary27044.3%50-99
Completed high school, incomplete higher education19532.0%20-49
Completed higher education9014.8%5-19
Completed elementary, incomplete high school559.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage33537.2%50-99
½ to 1 minimum wage24527.2%20-49
Up to ¼ of a minimum wage16017.8%20-49
1 to 2 minimum wages11012.2%20-49
More than 2 minimum wages353.9%5-19
Other / suppressed151.7%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female15016.9%20-49
Ages 25–39, male14516.3%20-49
Ages 40–59, female13014.6%20-49
Ages 5–14, female859.6%5-19
Ages 15–24, female859.6%5-19
Ages 40–59, male657.3%5-19
Ages 60 and over, male657.3%5-19
Ages 15–24, male606.7%5-19
Ages 5–14, male556.2%5-19
Ages 60 and over, female505.6%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth33038.4%20-49
Return to municipality of birth26530.8%5-19
Multi-step migration26530.8%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education16536.3%5-19
No schooling or incomplete elementary15033.0%5-19
Completed higher education9019.8%5-19
Completed elementary, incomplete high school5011.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage30535.3%20-49
½ to 1 minimum wage22025.4%20-49
1 to 2 minimum wages16018.5%5-19
¼ to ½ minimum wage12013.9%5-19
Other / suppressed606.9%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female16018.4%5-19
Ages 25–39, male14516.7%5-19
Ages 15–24, male12514.4%5-19
Ages 5–14, female10512.1%5-19
Ages 15–24, female10512.1%5-19
Ages 40–59, female859.8%5-19
Ages 5–14, male809.2%5-19
Ages 40–59, male556.3%5-19
Other / suppressed101.1%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary5,09562.7%>=500
Completed high school, incomplete higher education1,94524.0%100-499
Completed elementary, incomplete high school6708.3%100-499
Completed higher education4105.0%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage4,54536.9%>=500
¼ to ½ minimum wage3,74530.4%>=500
Up to ¼ of a minimum wage2,76022.4%>=500
1 to 2 minimum wages1,0358.4%100-499
More than 2 minimum wages2401.9%20-49
Other / suppressed50.0%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female1,73515.0%100-499
Ages 40–59, male1,71014.8%100-499
Ages 25–39, female1,25010.8%100-499
Ages 60 and over, female1,21010.4%100-499
Ages 25–39, male1,1259.7%100-499
Ages 60 and over, male1,0959.4%100-499
Ages 15–24, male9107.9%100-499
Ages 5–14, male9007.8%100-499
Ages 15–24, female8407.2%100-499
Ages 5–14, female8157.0%100-499

Commuting (work and study)

Commuting indicators for Pé de Serra/BA
Employed persons (aged 10 and over)4,700
Commute out to work in another municipality345
Commute in from another municipality to work here330
Net commuting−15
Out-commuting rate (%)7.30
Commuting attraction index0.978
Median commuting time60 min

Open Pé de Serra/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]: Pé de Serra/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pe-de-serra-ba-2924058/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.