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

São Gonçalo do Rio Preto/MG had a reference population (aged 5 or over in 2022) of 2,900 people. In the 2017–2022 five-year period, the municipality received 245 in-migrants and lost 145 out-migrants to other municipalities in Brazil, resulting in a net migration of +100 people (34.37 per 1,000 population) and a migration effectiveness index (IEM) of 0.254. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for São Gonçalo do Rio Preto/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	245	171 to 319	use with caution
Out-migrants	145	42 to 248	low precision
Net migration	+100	−27 to 227	not classified
Net migration rate, TLM (per 1,000 pop.)	34.37	-	-
Migration effectiveness index (IEM)	0.254	-	-

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 Gonçalo do Rio Preto/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	80	use with caution
Diamantina/MG · view pair in the atlas	60	low precision
Couto de Magalhães de Minas/MG · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from São Gonçalo do Rio Preto/MG
Destination	People	Precision
Felício dos Santos/MG · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	115	46.0%	20-49
Multi-step migration	75	30.0%	20-49
Return to municipality of birth	55	22.0%	5-19
Other / suppressed	5	2.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	65	33.3%	5-19
Completed high school, incomplete higher education	60	30.8%	20-49
No schooling or incomplete elementary	50	25.6%	5-19
Completed elementary, incomplete high school	20	10.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
Up to ¼ of a minimum wage	65	27.1%	20-49
½ to 1 minimum wage	50	20.8%	5-19
1 to 2 minimum wages	45	18.8%	5-19
¼ to ½ minimum wage	40	16.7%	5-19
More than 2 minimum wages	30	12.5%	5-19
Other / suppressed	10	4.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	45	18.8%	5-19
Ages 40–59, female	45	18.8%	5-19
Ages 40–59, male	35	14.6%	5-19
Ages 25–39, male	30	12.5%	5-19
Other / suppressed	20	8.3%	5-19
Ages 60 and over, male	20	8.3%	5-19
Ages 60 and over, female	20	8.3%	5-19
Ages 5–14, female	15	6.2%	5-19
Ages 5–14, male	10	4.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	105	70.0%	5-19
First move from municipality of birth	35	23.3%	5-19
Other / suppressed	10	6.7%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Other / suppressed	50	50.0%	5-19
No schooling or incomplete elementary	50	50.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	65	44.8%	5-19
Other / suppressed	50	34.5%	5-19
½ to 1 minimum wage	30	20.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	120	82.8%	5-19
Ages 25–39, female	25	17.2%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	990	51.7%	100-499
Completed high school, incomplete higher education	605	31.6%	100-499
Completed higher education	200	10.4%	50-99
Completed elementary, incomplete high school	120	6.3%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,060	38.2%	100-499
¼ to ½ minimum wage	805	29.0%	100-499
1 to 2 minimum wages	415	15.0%	100-499
Up to ¼ of a minimum wage	370	13.3%	100-499
More than 2 minimum wages	110	4.0%	20-49
Not applicable (collective dwelling)	15	0.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	400	15.1%	100-499
Ages 40–59, male	390	14.7%	100-499
Ages 60 and over, female	310	11.7%	100-499
Ages 25–39, female	275	10.4%	50-99
Ages 25–39, male	270	10.2%	50-99
Ages 60 and over, male	265	10.0%	50-99
Ages 15–24, female	215	8.1%	50-99
Ages 15–24, male	210	7.9%	50-99
Ages 5–14, female	165	6.2%	50-99
Ages 5–14, male	150	5.7%	20-49

Commuting (work and study)

Commuting indicators for São Gonçalo do Rio Preto/MG
Employed persons (aged 10 and over)	1,275
Commute out to work in another municipality	120
Commute in from another municipality to work here	40
Net commuting	−80
Out-commuting rate (%)	9.36
Commuting attraction index	0.928
Median commuting time	55 min

Open São Gonçalo do Rio Preto/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 Rio Preto/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-rio-preto-mg-3125507/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.