Migration in Pavão/MG (2017–2022)

Pavão/MG had a reference population (aged 5 or over in 2022) of 7,550 people. In the 2017–2022 five-year period, the municipality received 345 in-migrants and lost 750 out-migrants to other municipalities in Brazil, resulting in a net migration of −405 people (−53.78 per 1,000 population) and a migration effectiveness index (IEM) of −0.369. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Pavão/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	345	221 to 469	use with caution
Out-migrants	750	413 to 1,087	use with caution
Net migration	−405	−764 to −46	not classified
Net migration rate, TLM (per 1,000 pop.)	−53.78	-	-
Migration effectiveness index (IEM)	−0.369	-	-

Sample of in-migrants: 50-99 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 Pavão/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	55	low precision
Novo Oriente de Minas/MG · view pair in the atlas	45	low precision
Teófilo Otoni/MG · view pair in the atlas	40	low precision

Top 10 destinations of out-migrants from Pavão/MG
Destination	People	Precision
Teófilo Otoni/MG · view pair in the atlas	95	low precision
Betim/MG · view pair in the atlas	55	low precision
Novo Oriente de Minas/MG · view pair in the atlas	45	low precision
Crisólita/MG · view pair in the atlas	25	low precision
Carlos Chagas/MG · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	130	37.7%	20-49
Multi-step migration	105	30.4%	20-49
Return to municipality of birth	95	27.5%	20-49
Other / suppressed	15	4.3%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	90	42.9%	5-19
Completed high school, incomplete higher education	80	38.1%	5-19
Completed higher education	30	14.3%	5-19
Other / suppressed	10	4.8%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	135	39.1%	20-49
¼ to ½ minimum wage	125	36.2%	20-49
Up to ¼ of a minimum wage	50	14.5%	5-19
1 to 2 minimum wages	30	8.7%	5-19
Other / suppressed	5	1.4%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	75	21.1%	5-19
Ages 40–59, male	50	14.1%	5-19
Ages 25–39, male	45	12.7%	5-19
Ages 15–24, female	40	11.3%	5-19
Ages 25–39, female	35	9.9%	5-19
Ages 5–14, female	35	9.9%	5-19
Ages 5–14, male	35	9.9%	5-19
Ages 15–24, male	30	8.5%	5-19
Other / suppressed	10	2.8%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	550	72.8%	50-99
Multi-step migration	155	20.5%	20-49
Return to municipality of birth	50	6.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	205	47.7%	20-49
Completed high school, incomplete higher education	115	26.7%	5-19
Completed elementary, incomplete high school	80	18.6%	5-19
Other / suppressed	30	7.0%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	295	39.1%	20-49
Up to ¼ of a minimum wage	215	28.5%	5-19
¼ to ½ minimum wage	115	15.2%	5-19
1 to 2 minimum wages	85	11.3%	5-19
Other / suppressed	45	6.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	130	17.2%	5-19
Ages 25–39, female	125	16.6%	5-19
Ages 5–14, female	85	11.3%	5-19
Ages 5–14, male	85	11.3%	5-19
Ages 15–24, female	85	11.3%	5-19
Ages 60 and over, female	85	11.3%	5-19
Ages 15–24, male	75	9.9%	5-19
Ages 40–59, male	40	5.3%	5-19
Ages 40–59, female	30	4.0%	5-19
Other / suppressed	15	2.0%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,970	58.0%	>=500
Completed high school, incomplete higher education	1,240	24.2%	100-499
Completed elementary, incomplete high school	595	11.6%	100-499
Completed higher education	320	6.2%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	3,205	41.6%	>=500
¼ to ½ minimum wage	2,460	31.9%	100-499
Up to ¼ of a minimum wage	1,195	15.5%	100-499
1 to 2 minimum wages	615	8.0%	100-499
More than 2 minimum wages	210	2.7%	20-49
Other / suppressed	15	0.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,040	14.4%	100-499
Ages 40–59, female	930	12.9%	100-499
Ages 60 and over, female	870	12.1%	100-499
Ages 60 and over, male	785	10.9%	100-499
Ages 25–39, female	770	10.7%	100-499
Ages 25–39, male	735	10.2%	100-499
Ages 15–24, male	545	7.6%	100-499
Ages 15–24, female	535	7.4%	100-499
Ages 5–14, male	515	7.1%	50-99
Ages 5–14, female	480	6.7%	100-499

Commuting (work and study)

Commuting indicators for Pavão/MG
Employed persons (aged 10 and over)	2,290
Commute out to work in another municipality	100
Commute in from another municipality to work here	65
Net commuting	−35
Out-commuting rate (%)	4.45
Commuting attraction index	0.975
Median commuting time	60 min

Open Pavão/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]: Pavão/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/pavao-mg-3148509/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.