Migration in São Gonçalo do Abaeté/MG (2017–2022)

São Gonçalo do Abaeté/MG had a reference population (aged 5 or over in 2022) of 6,900 people. In the 2017–2022 five-year period, the municipality received 875 in-migrants and lost 410 out-migrants to other municipalities in Brazil, resulting in a net migration of +465 people (67.19 per 1,000 population) and a migration effectiveness index (IEM) of 0.360. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for São Gonçalo do Abaeté/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	875	654 to 1,096	good
Out-migrants	410	228 to 592	use with caution
Net migration	+465	178 to 752	not classified
Net migration rate, TLM (per 1,000 pop.)	67.19	-	-
Migration effectiveness index (IEM)	0.360	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 50-99 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to São Gonçalo do Abaeté/MG
Origin	People	Precision
Três Marias/MG · view pair in the atlas	95	low precision
João Pinheiro/MG · view pair in the atlas	90	low precision
Belo Horizonte/MG · view pair in the atlas	75	low precision
Varjão de Minas/MG · view pair in the atlas	70	low precision
Patos de Minas/MG · view pair in the atlas	50	low precision
Brasília/DF · view pair in the atlas	40	low precision

Top 10 destinations of out-migrants from São Gonçalo do Abaeté/MG
Destination	People	Precision
Patos de Minas/MG · view pair in the atlas	100	low precision
Varjão de Minas/MG · view pair in the atlas	50	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	385	44.0%	50-99
Multi-step migration	365	41.7%	50-99
Return to municipality of birth	125	14.3%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	220	37.3%	20-49
Completed high school, incomplete higher education	215	36.4%	20-49
Completed elementary, incomplete high school	100	16.9%	5-19
Completed higher education	55	9.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	280	32.4%	50-99
¼ to ½ minimum wage	250	28.9%	20-49
1 to 2 minimum wages	180	20.8%	20-49
More than 2 minimum wages	95	11.0%	5-19
Up to ¼ of a minimum wage	55	6.4%	5-19
Other / suppressed	5	0.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	135	15.5%	20-49
Ages 25–39, male	125	14.4%	20-49
Ages 40–59, female	125	14.4%	20-49
Ages 40–59, male	95	10.9%	5-19
Ages 60 and over, male	85	9.8%	5-19
Ages 5–14, male	85	9.8%	5-19
Ages 15–24, female	75	8.6%	5-19
Ages 15–24, male	70	8.0%	5-19
Ages 5–14, female	55	6.3%	5-19
Other / suppressed	20	2.3%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	190	45.8%	20-49
First move from municipality of birth	170	41.0%	20-49
Return to municipality of birth	55	13.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	120	51.1%	5-19
Completed high school, incomplete higher education	75	31.9%	5-19
Other / suppressed	40	17.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	125	30.5%	5-19
More than 2 minimum wages	90	22.0%	5-19
½ to 1 minimum wage	85	20.7%	5-19
¼ to ½ minimum wage	65	15.9%	5-19
Up to ¼ of a minimum wage	35	8.5%	5-19
Other / suppressed	10	2.4%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	135	32.9%	5-19
Ages 15–24, female	90	22.0%	5-19
Ages 25–39, male	75	18.3%	5-19
Ages 5–14, female	40	9.8%	5-19
Ages 40–59, male	35	8.5%	5-19
Ages 40–59, female	35	8.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,145	52.4%	100-499
Completed high school, incomplete higher education	1,065	26.0%	100-499
Completed elementary, incomplete high school	490	12.0%	50-99
Completed higher education	395	9.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,610	40.2%	100-499
¼ to ½ minimum wage	1,500	23.1%	100-499
1 to 2 minimum wages	1,250	19.3%	100-499
Up to ¼ of a minimum wage	630	9.7%	100-499
More than 2 minimum wages	480	7.4%	50-99
Other / suppressed	20	0.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	890	14.8%	100-499
Ages 40–59, female	815	13.6%	100-499
Ages 25–39, female	670	11.1%	100-499
Ages 25–39, male	660	11.0%	100-499
Ages 15–24, male	550	9.2%	50-99
Ages 60 and over, female	530	8.8%	100-499
Ages 60 and over, male	530	8.8%	100-499
Ages 5–14, female	465	7.7%	50-99
Ages 5–14, male	450	7.5%	50-99
Ages 15–24, female	450	7.5%	50-99

Commuting (work and study)

Commuting indicators for São Gonçalo do Abaeté/MG
Employed persons (aged 10 and over)	3,265
Commute out to work in another municipality	380
Commute in from another municipality to work here	270
Net commuting	−110
Out-commuting rate (%)	11.65
Commuting attraction index	0.953
Median commuting time	40 min

Open São Gonçalo do Abaeté/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 Gonçalo do Abaeté/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-goncalo-do-abaete-mg-3161700/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.