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

Migration in Monte Santo/BA (2017–2022)

Monte Santo/BA had a reference population (aged 5 or over in 2022) of 44,885 people. In the 2017–2022 five-year period, the municipality received 1,425 in-migrants and lost 2,030 out-migrants to other municipalities in Brazil, resulting in a net migration of −605 people (−13.47 per 1,000 population) and a migration effectiveness index (IEM) of −0.175. This classifies the municipality, for the period, as one of migratory depletion. In addition, 70 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Monte Santo/BA, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,4251,091 to 1,759good
Out-migrants2,0301,562 to 2,498good
Net migration−605−1,180 to −30not classified
Net migration rate, TLM (per 1,000 pop.)−13.47--
Migration effectiveness index (IEM)−0.175--

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 Monte Santo/BA
OriginPeoplePrecision
São Paulo/SP · view pair in the atlas535use with caution
Salvador/BA · view pair in the atlas115low precision
Campo Limpo Paulista/SP · view pair in the atlas95low precision
Andorinha/BA · view pair in the atlas55low precision
Top 10 destinations of out-migrants from Monte Santo/BA
DestinationPeoplePrecision
São Paulo/SP · view pair in the atlas540low precision
Euclides da Cunha/BA · view pair in the atlas150low precision
Uauá/BA · view pair in the atlas145low precision
Andorinha/BA · view pair in the atlas120low precision
Cansanção/BA · view pair in the atlas120low precision
Mauá/SP · view pair in the atlas65low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Return to municipality of birth75052.6%50-99
First move from municipality of birth43530.5%20-49
Multi-step migration24016.8%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary39539.3%20-49
Completed high school, incomplete higher education32031.8%20-49
Completed elementary, incomplete high school19519.4%5-19
Completed higher education959.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage46032.4%20-49
½ to 1 minimum wage40028.2%20-49
¼ to ½ minimum wage36525.7%20-49
1 to 2 minimum wages1409.9%5-19
More than 2 minimum wages553.9%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female31021.8%20-49
Ages 25–39, male24016.9%20-49
Ages 40–59, female19513.7%5-19
Ages 5–14, female18513.0%20-49
Ages 40–59, male16511.6%5-19
Ages 15–24, male906.3%5-19
Ages 5–14, male906.3%5-19
Ages 15–24, female503.5%5-19
Ages 60 and over, male503.5%5-19
Other / suppressed453.2%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth1,57577.8%100-499
Multi-step migration33016.3%20-49
Return to municipality of birth1205.9%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary46546.7%20-49
Completed high school, incomplete higher education25525.6%20-49
Completed elementary, incomplete high school23023.1%20-49
Other / suppressed454.5%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage68533.7%50-99
1 to 2 minimum wages45022.2%20-49
¼ to ½ minimum wage42520.9%20-49
Up to ¼ of a minimum wage34016.7%20-49
More than 2 minimum wages1205.9%5-19
Other / suppressed100.5%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, male42520.9%20-49
Ages 15–24, female33016.3%20-49
Ages 25–39, female32015.8%20-49
Ages 25–39, male23011.3%20-49
Ages 40–59, female1859.1%5-19
Ages 5–14, female1557.6%5-19
Ages 5–14, male1306.4%5-19
Ages 40–59, male1004.9%5-19
Ages 60 and over, male854.2%5-19
Ages 60 and over, female703.4%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary21,82574.0%>=500
Completed high school, incomplete higher education3,94513.4%100-499
Completed elementary, incomplete high school2,4058.2%100-499
Completed higher education1,3054.4%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
Up to ¼ of a minimum wage16,40535.4%>=500
¼ to ½ minimum wage13,38028.9%>=500
½ to 1 minimum wage12,48027.0%>=500
1 to 2 minimum wages3,2257.0%100-499
More than 2 minimum wages7901.7%50-99
Age and sex
CategoryEstimateShareSample
Ages 40–59, male6,20014.3%>=500
Ages 40–59, female5,77013.3%>=500
Ages 25–39, female4,76511.0%100-499
Ages 25–39, male4,67010.8%100-499
Ages 60 and over, female4,1259.5%100-499
Ages 60 and over, male3,9559.1%100-499
Ages 15–24, male3,7658.7%100-499
Ages 15–24, female3,5908.3%100-499
Ages 5–14, male3,4207.9%100-499
Ages 5–14, female3,1357.2%100-499

Commuting (work and study)

Commuting indicators for Monte Santo/BA
Employed persons (aged 10 and over)11,195
Commute out to work in another municipality350
Commute in from another municipality to work here290
Net commuting−60
Out-commuting rate (%)3.13
Commuting attraction index0.974
Median commuting time38 min

Open Monte Santo/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]: Monte Santo/BA. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/monte-santo-ba-2921500/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.