Migration in Poté/MG (2017–2022)

Poté/MG had a reference population (aged 5 or over in 2022) of 12,855 people. In the 2017–2022 five-year period, the municipality received 645 in-migrants and lost 730 out-migrants to other municipalities in Brazil, resulting in a net migration of −90 people (−6.85 per 1,000 population) and a migration effectiveness index (IEM) of −0.064. This classifies the municipality, for the period, as one of migratory depletion. In addition, 30 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Poté/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	645	466 to 824	good
Out-migrants	730	462 to 998	use with caution
Net migration	−90	−412 to 232	not classified
Net migration rate, TLM (per 1,000 pop.)	−6.85	-	-
Migration effectiveness index (IEM)	−0.064	-	-

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 Poté/MG
Origin	People	Precision
Teófilo Otoni/MG · view pair in the atlas	150	use with caution
Malacacheta/MG · view pair in the atlas	65	low precision
Ladainha/MG · view pair in the atlas	55	low precision
Nova Serrana/MG · view pair in the atlas	40	low precision
Novo Cruzeiro/MG · view pair in the atlas	30	low precision
Belo Horizonte/MG · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Poté/MG
Destination	People	Precision
Nova Serrana/MG · view pair in the atlas	195	low precision
Ladainha/MG · view pair in the atlas	30	low precision
Catuji/MG · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	315	49.2%	50-99
Multi-step migration	270	42.2%	50-99
Return to municipality of birth	55	8.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	150	35.3%	20-49
No schooling or incomplete elementary	135	31.8%	20-49
Completed elementary, incomplete high school	75	17.6%	5-19
Completed higher education	65	15.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	215	33.3%	20-49
Up to ¼ of a minimum wage	180	27.9%	20-49
¼ to ½ minimum wage	135	20.9%	20-49
1 to 2 minimum wages	80	12.4%	5-19
More than 2 minimum wages	25	3.9%	5-19
Other / suppressed	10	1.6%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	120	18.8%	20-49
Ages 40–59, female	90	14.1%	20-49
Ages 40–59, male	80	12.5%	5-19
Ages 5–14, female	70	10.9%	5-19
Ages 15–24, female	65	10.2%	5-19
Ages 25–39, male	55	8.6%	5-19
Ages 15–24, male	50	7.8%	5-19
Ages 60 and over, male	45	7.0%	5-19
Ages 5–14, male	35	5.5%	5-19
Ages 60 and over, female	30	4.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	475	64.6%	50-99
Multi-step migration	225	30.6%	20-49
Return to municipality of birth	35	4.8%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	150	44.1%	20-49
Completed high school, incomplete higher education	115	33.8%	5-19
Completed elementary, incomplete high school	65	19.1%	5-19
Other / suppressed	10	2.9%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	305	41.2%	20-49
¼ to ½ minimum wage	205	27.7%	20-49
1 to 2 minimum wages	135	18.2%	5-19
More than 2 minimum wages	55	7.4%	5-19
Up to ¼ of a minimum wage	30	4.1%	5-19
Other / suppressed	10	1.4%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	160	21.8%	5-19
Ages 25–39, male	155	21.1%	5-19
Ages 15–24, male	140	19.0%	5-19
Ages 5–14, male	55	7.5%	5-19
Other / suppressed	50	6.8%	5-19
Ages 25–39, female	50	6.8%	5-19
Ages 40–59, female	45	6.1%	5-19
Ages 40–59, male	40	5.4%	5-19
Ages 5–14, female	40	5.4%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	5,140	59.1%	>=500
Completed high school, incomplete higher education	1,850	21.3%	100-499
Completed elementary, incomplete high school	1,040	12.0%	100-499
Completed higher education	665	7.6%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	4,195	32.3%	>=500
½ to 1 minimum wage	3,885	29.9%	>=500
Up to ¼ of a minimum wage	2,920	22.5%	>=500
1 to 2 minimum wages	1,435	11.0%	100-499
More than 2 minimum wages	510	3.9%	50-99
Not applicable (collective dwelling)	45	0.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	1,810	14.9%	100-499
Ages 40–59, male	1,740	14.3%	100-499
Ages 60 and over, female	1,490	12.2%	100-499
Ages 60 and over, male	1,305	10.7%	100-499
Ages 25–39, male	1,175	9.6%	100-499
Ages 25–39, female	1,175	9.6%	100-499
Ages 15–24, female	950	7.8%	100-499
Ages 15–24, male	930	7.6%	100-499
Ages 5–14, female	805	6.6%	100-499
Ages 5–14, male	800	6.6%	100-499

Commuting (work and study)

Commuting indicators for Poté/MG
Employed persons (aged 10 and over)	3,965
Commute out to work in another municipality	310
Commute in from another municipality to work here	95
Net commuting	−215
Out-commuting rate (%)	7.84
Commuting attraction index	0.922
Median commuting time	40 min

Open Poté/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]: Poté/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pote-mg-3152402/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.