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

Migration in Mairi/BA (2017–2022)

Mairi/BA had a reference population (aged 5 or over in 2022) of 16,690 people. In the 2017–2022 five-year period, the municipality received 780 in-migrants and lost 1,145 out-migrants to other municipalities in Brazil, resulting in a net migration of −365 people (−21.95 per 1,000 population) and a migration effectiveness index (IEM) of −0.191. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Mairi/BA, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants780602 to 958good
Out-migrants1,145795 to 1,495use with caution
Net migration−365−758 to 28not classified
Net migration rate, TLM (per 1,000 pop.)−21.95--
Migration effectiveness index (IEM)−0.191--

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 Mairi/BA
OriginPeoplePrecision
Feira de Santana/BA · view pair in the atlas150use with caution
São Paulo/SP · view pair in the atlas80low precision
Salvador/BA · view pair in the atlas65low precision
Baixa Grande/BA · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Mairi/BA
DestinationPeoplePrecision
Feira de Santana/BA · view pair in the atlas140low precision
Salvador/BA · view pair in the atlas125low precision
Luís Eduardo Magalhães/BA · view pair in the atlas85low precision
Capim Grosso/BA · view pair in the atlas80low precision
Jacobina/BA · view pair in the atlas50low precision
Várzea do Poço/BA · view pair in the atlas40low precision
Serrolândia/BA · view pair in the atlas35low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth36546.8%50-99
First move from municipality of birth25532.7%20-49
Multi-step migration16020.5%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary22044.4%20-49
Completed high school, incomplete higher education16032.3%20-49
Completed higher education6012.1%5-19
Completed elementary, incomplete high school5511.1%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage25032.1%50-99
¼ to ½ minimum wage22028.2%20-49
½ to 1 minimum wage21026.9%20-49
1 to 2 minimum wages8510.9%5-19
Other / suppressed151.9%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, male15019.2%20-49
Ages 25–39, female14017.9%20-49
Ages 15–24, female9512.2%5-19
Ages 5–14, female709.0%5-19
Ages 40–59, female658.3%5-19
Ages 15–24, male607.7%5-19
Ages 40–59, male557.1%5-19
Ages 5–14, male557.1%5-19
Ages 60 and over, female506.4%5-19
Ages 60 and over, male405.1%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth86575.5%50-99
Multi-step migration20017.5%20-49
Return to municipality of birth807.0%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary26043.7%20-49
Completed high school, incomplete higher education15025.2%5-19
Completed elementary, incomplete high school12020.2%5-19
Completed higher education6510.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage34029.7%20-49
Up to ¼ of a minimum wage30026.2%20-49
¼ to ½ minimum wage24021.0%20-49
1 to 2 minimum wages19016.6%20-49
More than 2 minimum wages756.6%5-19
Age and sex
CategoryEstimateShareSample
Ages 15–24, female19016.5%5-19
Ages 25–39, female17515.2%5-19
Ages 25–39, male16013.9%5-19
Ages 5–14, male13011.3%5-19
Ages 15–24, male13011.3%5-19
Ages 40–59, female12510.9%5-19
Ages 5–14, female1059.1%5-19
Ages 40–59, male807.0%5-19
Ages 60 and over, female353.0%5-19
Other / suppressed201.7%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary7,38565.6%>=500
Completed high school, incomplete higher education2,10518.7%100-499
Completed elementary, incomplete high school1,1159.9%100-499
Completed higher education6455.7%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage5,37031.8%>=500
Up to ¼ of a minimum wage5,19030.7%>=500
¼ to ½ minimum wage4,39526.0%>=500
1 to 2 minimum wages1,6459.7%100-499
More than 2 minimum wages2751.6%50-99
Other / suppressed100.1%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female2,30014.5%100-499
Ages 40–59, male2,22514.0%100-499
Ages 60 and over, female1,82511.5%100-499
Ages 25–39, male1,67010.5%100-499
Ages 25–39, female1,66010.4%100-499
Ages 60 and over, male1,5759.9%100-499
Ages 15–24, male1,2958.1%100-499
Ages 15–24, female1,2157.6%100-499
Ages 5–14, male1,1207.0%100-499
Ages 5–14, female1,0206.4%100-499

Commuting (work and study)

Commuting indicators for Mairi/BA
Employed persons (aged 10 and over)5,125
Commute out to work in another municipality220
Commute in from another municipality to work here215
Net commuting−5
Out-commuting rate (%)4.29
Commuting attraction index0.955
Median commuting time45 min

Open Mairi/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]: Mairi/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/mairi-ba-2920106/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.