Migration in São Geraldo do Baixio/MG (2017–2022)

São Geraldo do Baixio/MG had a reference population (aged 5 or over in 2022) of 2,960 people. In the 2017–2022 five-year period, the municipality received 310 in-migrants and lost 235 out-migrants to other municipalities in Brazil, resulting in a net migration of +75 people (25.01 per 1,000 population) and a migration effectiveness index (IEM) of 0.136. This classifies the municipality, for the period, as one of migratory attraction. In addition, 15 arrived with an unreported origin and 25 came from abroad.

Indicators

Migration indicators for São Geraldo do Baixio/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	310	206 to 414	use with caution
Out-migrants	235	112 to 358	use with caution
Net migration	+75	−86 to 236	not classified
Net migration rate, TLM (per 1,000 pop.)	25.01	-	-
Migration effectiveness index (IEM)	0.136	-	-

Sample of in-migrants: 50-99 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to São Geraldo do Baixio/MG
Origin	People	Precision
Galiléia/MG · view pair in the atlas	70	low precision
Governador Valadares/MG · view pair in the atlas	40	low precision
Conselheiro Pena/MG · view pair in the atlas	30	low precision
Belo Horizonte/MG · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from São Geraldo do Baixio/MG
Destination	People	Precision
Galiléia/MG · view pair in the atlas	20	low precision
Central de Minas/MG · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	200	64.5%	50-99
First move from municipality of birth	80	25.8%	20-49
Return to municipality of birth	30	9.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	80	48.5%	20-49
Completed high school, incomplete higher education	60	36.4%	5-19
Completed elementary, incomplete high school	15	9.1%	5-19
Other / suppressed	10	6.1%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	115	37.1%	20-49
½ to 1 minimum wage	85	27.4%	20-49
Up to ¼ of a minimum wage	50	16.1%	5-19
More than 2 minimum wages	30	9.7%	5-19
1 to 2 minimum wages	30	9.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 5–14, female	60	20.0%	5-19
Ages 25–39, female	55	18.3%	5-19
Ages 25–39, male	40	13.3%	5-19
Ages 15–24, female	30	10.0%	5-19
Ages 60 and over, female	25	8.3%	5-19
Ages 5–14, male	25	8.3%	5-19
Ages 40–59, male	20	6.7%	5-19
Ages 15–24, male	20	6.7%	5-19
Ages 40–59, female	15	5.0%	5-19
Other / suppressed	10	3.3%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	120	51.1%	20-49
Return to municipality of birth	60	25.5%	5-19
First move from municipality of birth	55	23.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	50	35.7%	5-19
Completed elementary, incomplete high school	45	32.1%	5-19
No schooling or incomplete elementary	25	17.9%	5-19
Other / suppressed	20	14.3%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	105	45.7%	20-49
1 to 2 minimum wages	65	28.3%	5-19
¼ to ½ minimum wage	55	23.9%	5-19
Other / suppressed	5	2.2%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	70	30.4%	5-19
Ages 25–39, female	50	21.7%	5-19
Ages 15–24, female	45	19.6%	5-19
Ages 25–39, male	40	17.4%	5-19
Ages 5–14, male	25	10.9%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,265	64.2%	100-499
Completed high school, incomplete higher education	375	19.0%	100-499
Completed elementary, incomplete high school	210	10.7%	50-99
Completed higher education	120	6.1%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,125	40.3%	100-499
¼ to ½ minimum wage	635	22.8%	100-499
1 to 2 minimum wages	480	17.2%	100-499
Up to ¼ of a minimum wage	460	16.5%	100-499
More than 2 minimum wages	90	3.2%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	480	18.4%	100-499
Ages 40–59, male	405	15.5%	100-499
Ages 60 and over, female	315	12.1%	100-499
Ages 60 and over, male	305	11.7%	100-499
Ages 25–39, female	235	9.0%	50-99
Ages 25–39, male	225	8.6%	50-99
Ages 5–14, male	190	7.3%	50-99
Ages 15–24, female	170	6.5%	50-99
Ages 15–24, male	160	6.1%	50-99
Ages 5–14, female	125	4.8%	20-49

Commuting (work and study)

Commuting indicators for São Geraldo do Baixio/MG
Employed persons (aged 10 and over)	985
Commute out to work in another municipality	30
Commute in from another municipality to work here	25
Net commuting	−5
Out-commuting rate (%)	2.98
Commuting attraction index	0.978
Median commuting time	60 min

Open São Geraldo do Baixio/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]: São Geraldo do Baixio/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-geraldo-do-baixio-mg-3161650/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.