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

Migration in Santa Margarida/MG (2017–2022)

Santa Margarida/MG had a reference population (aged 5 or over in 2022) of 15,210 people. In the 2017–2022 five-year period, the municipality received 530 in-migrants and lost 680 out-migrants to other municipalities in Brazil, resulting in a net migration of −150 people (−10.02 per 1,000 population) and a migration effectiveness index (IEM) of −0.126. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Santa Margarida/MG, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants530380 to 680good
Out-migrants680475 to 885use with caution
Net migration−150−404 to 104not classified
Net migration rate, TLM (per 1,000 pop.)−10.02--
Migration effectiveness index (IEM)−0.126--

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 Santa Margarida/MG
OriginPeoplePrecision
Manhuaçu/MG · view pair in the atlas85low precision
Matipó/MG · view pair in the atlas60low precision
Belo Horizonte/MG · view pair in the atlas45low precision
Vitória/ES · view pair in the atlas25low precision
Rio de Janeiro/RJ · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Santa Margarida/MG
DestinationPeoplePrecision
Belo Horizonte/MG · view pair in the atlas125low precision
Manhuaçu/MG · view pair in the atlas110low precision
Orizânia/MG · view pair in the atlas65low precision
Pedra Bonita/MG · view pair in the atlas60low precision
São João do Manhuaçu/MG · view pair in the atlas30low precision
Abre Campo/MG · view pair in the atlas30low precision
Matipó/MG · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth23544.3%20-49
Multi-step migration15028.3%20-49
Return to municipality of birth14527.4%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary14041.2%20-49
Completed high school, incomplete higher education10029.4%5-19
Completed higher education6017.6%5-19
Completed elementary, incomplete high school4011.8%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage21039.6%20-49
¼ to ½ minimum wage14026.4%20-49
1 to 2 minimum wages7013.2%5-19
More than 2 minimum wages6011.3%5-19
Up to ¼ of a minimum wage509.4%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female9517.8%5-19
Ages 40–59, male8015.0%5-19
Ages 15–24, female6512.1%5-19
Ages 40–59, female6512.1%5-19
Ages 25–39, male6512.1%5-19
Ages 15–24, male509.3%5-19
Ages 5–14, male407.5%5-19
Ages 5–14, female356.5%5-19
Ages 60 and over, male254.7%5-19
Other / suppressed152.8%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth34050.0%50-99
Multi-step migration23534.6%20-49
Return to municipality of birth10515.4%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary19054.3%20-49
Completed high school, incomplete higher education6518.6%5-19
Completed elementary, incomplete high school6017.1%5-19
Completed higher education3510.0%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
¼ to ½ minimum wage21030.7%20-49
½ to 1 minimum wage15522.6%20-49
1 to 2 minimum wages12518.2%5-19
Up to ¼ of a minimum wage9013.1%20-49
More than 2 minimum wages8512.4%5-19
Other / suppressed202.9%<5
Age and sex
CategoryEstimateShareSample
Ages 15–24, female14020.4%20-49
Ages 15–24, male10014.6%5-19
Ages 25–39, female10014.6%20-49
Ages 60 and over, female659.5%5-19
Ages 25–39, male507.3%5-19
Ages 40–59, male507.3%5-19
Ages 40–59, female507.3%5-19
Ages 5–14, male456.6%5-19
Ages 5–14, female456.6%5-19
Ages 60 and over, male405.8%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary6,35563.9%>=500
Completed high school, incomplete higher education1,85018.6%100-499
Completed elementary, incomplete high school9609.7%100-499
Completed higher education7807.8%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage5,60035.3%>=500
¼ to ½ minimum wage4,53028.5%>=500
Up to ¼ of a minimum wage2,79517.6%>=500
1 to 2 minimum wages2,13013.4%100-499
More than 2 minimum wages8105.1%100-499
Other / suppressed50.0%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male2,10514.3%100-499
Ages 40–59, female1,98513.5%100-499
Ages 25–39, male1,78512.2%100-499
Ages 25–39, female1,66011.3%100-499
Ages 15–24, male1,2608.6%100-499
Ages 60 and over, female1,2458.5%100-499
Ages 15–24, female1,2108.2%100-499
Ages 5–14, male1,1708.0%100-499
Ages 60 and over, male1,1607.9%100-499
Ages 5–14, female1,0957.5%100-499

Commuting (work and study)

Commuting indicators for Santa Margarida/MG
Employed persons (aged 10 and over)6,795
Commute out to work in another municipality185
Commute in from another municipality to work here230
Net commuting+45
Out-commuting rate (%)2.70
Commuting attraction index0.997
Median commuting time30 min

Open Santa Margarida/MG 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]: Santa Margarida/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-margarida-mg-3157906/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.