Migration in Buenópolis/MG (2017–2022)

Buenópolis/MG had a reference population (aged 5 or over in 2022) of 8,650 people. In the 2017–2022 five-year period, the municipality received 615 in-migrants and lost 580 out-migrants to other municipalities in Brazil, resulting in a net migration of +35 people (4.03 per 1,000 population) and a migration effectiveness index (IEM) of 0.029. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Buenópolis/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	615	441 to 789	good
Out-migrants	580	347 to 813	use with caution
Net migration	+35	−256 to 326	not classified
Net migration rate, TLM (per 1,000 pop.)	4.03	-	-
Migration effectiveness index (IEM)	0.029	-	-

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 Buenópolis/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	175	use with caution
São Paulo/SP · view pair in the atlas	50	low precision
Joaquim Felício/MG · view pair in the atlas	40	low precision
Corinto/MG · view pair in the atlas	35	low precision
Sete Lagoas/MG · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from Buenópolis/MG
Destination	People	Precision
Sete Lagoas/MG · view pair in the atlas	60	low precision
Augusto de Lima/MG · view pair in the atlas	50	low precision
Joaquim Felício/MG · view pair in the atlas	10	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	260	42.3%	20-49
Return to municipality of birth	195	31.7%	20-49
First move from municipality of birth	160	26.0%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	220	49.4%	20-49
No schooling or incomplete elementary	90	20.2%	5-19
Completed elementary, incomplete high school	75	16.9%	5-19
Completed higher education	60	13.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	215	35.0%	20-49
1 to 2 minimum wages	150	24.4%	20-49
¼ to ½ minimum wage	130	21.1%	20-49
More than 2 minimum wages	65	10.6%	5-19
Up to ¼ of a minimum wage	55	8.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	95	15.4%	5-19
Ages 40–59, female	85	13.8%	5-19
Ages 40–59, male	85	13.8%	5-19
Ages 25–39, male	80	13.0%	5-19
Ages 60 and over, male	60	9.8%	5-19
Ages 5–14, male	60	9.8%	5-19
Ages 15–24, female	40	6.5%	5-19
Ages 15–24, male	40	6.5%	5-19
Ages 60 and over, female	35	5.7%	5-19
Ages 5–14, female	35	5.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	410	70.7%	20-49
First move from municipality of birth	105	18.1%	20-49
Return to municipality of birth	65	11.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	100	33.9%	20-49
Completed high school, incomplete higher education	95	32.2%	5-19
Completed elementary, incomplete high school	55	18.6%	5-19
Other / suppressed	45	15.3%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	170	29.1%	5-19
Up to ¼ of a minimum wage	130	22.2%	5-19
½ to 1 minimum wage	125	21.4%	20-49
¼ to ½ minimum wage	120	20.5%	5-19
Other / suppressed	40	6.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	140	23.9%	5-19
Ages 25–39, female	115	19.7%	5-19
Ages 15–24, female	85	14.5%	5-19
Ages 25–39, male	65	11.1%	5-19
Ages 40–59, female	55	9.4%	5-19
Ages 5–14, male	45	7.7%	5-19
Other / suppressed	30	5.1%	5-19
Ages 60 and over, female	25	4.3%	5-19
Ages 40–59, male	25	4.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	3,015	52.4%	>=500
Completed high school, incomplete higher education	1,530	26.6%	100-499
Completed elementary, incomplete high school	750	13.0%	100-499
Completed higher education	460	8.0%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,890	33.9%	>=500
¼ to ½ minimum wage	2,325	27.3%	100-499
1 to 2 minimum wages	1,675	19.6%	100-499
Up to ¼ of a minimum wage	1,150	13.5%	100-499
More than 2 minimum wages	435	5.1%	50-99
Not applicable (collective dwelling)	50	0.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,150	14.3%	100-499
Ages 40–59, male	1,095	13.7%	100-499
Ages 60 and over, female	935	11.7%	100-499
Ages 25–39, male	865	10.8%	100-499
Ages 25–39, female	860	10.7%	100-499
Ages 60 and over, male	845	10.5%	100-499
Ages 15–24, female	590	7.4%	100-499
Ages 15–24, male	565	7.0%	100-499
Ages 5–14, female	560	7.0%	100-499
Ages 5–14, male	555	6.9%	50-99

Commuting (work and study)

Commuting indicators for Buenópolis/MG
Employed persons (aged 10 and over)	3,690
Commute out to work in another municipality	420
Commute in from another municipality to work here	130
Net commuting	−290
Out-commuting rate (%)	11.39
Commuting attraction index	0.892
Median commuting time	90 min

Open Buenópolis/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]: Buenópolis/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/buenopolis-mg-3109204/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.