Migration in São João do Manteninha/MG (2017–2022)

São João do Manteninha/MG had a reference population (aged 5 or over in 2022) of 5,010 people. In the 2017–2022 five-year period, the municipality received 620 in-migrants and lost 195 out-migrants to other municipalities in Brazil, resulting in a net migration of +425 people (84.38 per 1,000 population) and a migration effectiveness index (IEM) of 0.520. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 20 came from abroad.

Indicators

Migration indicators for São João do Manteninha/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	620	499 to 741	good
Out-migrants	195	106 to 284	use with caution
Net migration	+425	275 to 575	not classified
Net migration rate, TLM (per 1,000 pop.)	84.38	-	-
Migration effectiveness index (IEM)	0.520	-	-

Sample of in-migrants: 100-499 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 João do Manteninha/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	85	use with caution
Mantena/MG · view pair in the atlas	70	use with caution
Central de Minas/MG · view pair in the atlas	50	low precision
Vitória/ES · view pair in the atlas	45	low precision
Itabirinha/MG · view pair in the atlas	35	low precision
Mendes Pimentel/MG · view pair in the atlas	30	low precision
São Paulo/SP · view pair in the atlas	25	low precision
Governador Valadares/MG · view pair in the atlas	20	low precision
Mantenópolis/ES · view pair in the atlas	15	low precision
Nova Belém/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from São João do Manteninha/MG
Destination	People	Precision
No outflows published individually (below the disclosure threshold).

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	265	43.1%	50-99
First move from municipality of birth	240	39.0%	50-99
Return to municipality of birth	105	17.1%	20-49
Other / suppressed	5	0.8%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	225	57.7%	50-99
Completed high school, incomplete higher education	75	19.2%	20-49
Completed elementary, incomplete high school	55	14.1%	5-19
Completed higher education	35	9.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	285	46.0%	50-99
¼ to ½ minimum wage	145	23.4%	20-49
1 to 2 minimum wages	105	16.9%	20-49
Up to ¼ of a minimum wage	50	8.1%	5-19
More than 2 minimum wages	35	5.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	110	18.0%	20-49
Ages 25–39, female	75	12.3%	20-49
Ages 15–24, male	65	10.7%	20-49
Ages 40–59, male	65	10.7%	20-49
Ages 15–24, female	65	10.7%	20-49
Ages 5–14, male	50	8.2%	5-19
Ages 25–39, male	50	8.2%	5-19
Ages 5–14, female	50	8.2%	5-19
Ages 60 and over, male	50	8.2%	5-19
Ages 60 and over, female	30	4.9%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	115	59.0%	5-19
Return to municipality of birth	40	20.5%	5-19
First move from municipality of birth	40	20.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	55	40.7%	5-19
Completed high school, incomplete higher education	40	29.6%	5-19
Completed higher education	25	18.5%	5-19
Other / suppressed	15	11.1%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	100	51.3%	5-19
1 to 2 minimum wages	40	20.5%	5-19
Other / suppressed	35	17.9%	5-19
¼ to ½ minimum wage	20	10.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	145	74.4%	20-49
Ages 25–39, male	50	25.6%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,895	58.9%	>=500
Completed high school, incomplete higher education	705	21.9%	100-499
Completed elementary, incomplete high school	420	13.0%	100-499
Completed higher education	200	6.2%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,110	45.0%	>=500
¼ to ½ minimum wage	1,090	23.2%	100-499
1 to 2 minimum wages	860	18.3%	100-499
Up to ¼ of a minimum wage	360	7.7%	100-499
More than 2 minimum wages	270	5.8%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	700	16.0%	100-499
Ages 40–59, male	645	14.8%	100-499
Ages 60 and over, female	495	11.3%	100-499
Ages 25–39, male	475	10.9%	100-499
Ages 25–39, female	470	10.8%	100-499
Ages 60 and over, male	440	10.1%	100-499
Ages 15–24, female	295	6.8%	50-99
Ages 15–24, male	295	6.8%	50-99
Ages 5–14, female	285	6.5%	50-99
Ages 5–14, male	265	6.1%	50-99

Commuting (work and study)

Commuting indicators for São João do Manteninha/MG
Employed persons (aged 10 and over)	2,385
Commute out to work in another municipality	110
Commute in from another municipality to work here	70
Net commuting	−45
Out-commuting rate (%)	4.71
Commuting attraction index	0.965
Median commuting time	28 min

Open São João do Manteninha/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 João do Manteninha/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-joao-do-manteninha-mg-3162575/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.