Migration in Chalé/MG (2017–2022)

Chalé/MG had a reference population (aged 5 or over in 2022) of 5,645 people. In the 2017–2022 five-year period, the municipality received 365 in-migrants and lost 295 out-migrants to other municipalities in Brazil, resulting in a net migration of +65 people (11.94 per 1,000 population) and a migration effectiveness index (IEM) of 0.102. 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 Chalé/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	365	275 to 455	good
Out-migrants	295	147 to 443	use with caution
Net migration	+65	−108 to 238	not classified
Net migration rate, TLM (per 1,000 pop.)	11.94	-	-
Migration effectiveness index (IEM)	0.102	-	-

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 Chalé/MG
Origin	People	Precision
Lajinha/MG · view pair in the atlas	60	low precision
Manhuaçu/MG · view pair in the atlas	30	low precision
Ibatiba/ES · view pair in the atlas	30	low precision
Santa Gertrudes/SP · view pair in the atlas	25	low precision
São José do Mantimento/MG · view pair in the atlas	25	low precision
Ipanema/MG · view pair in the atlas	15	low precision
Durandé/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Chalé/MG
Destination	People	Precision
Conceição de Ipanema/MG · view pair in the atlas	45	low precision
Lajinha/MG · view pair in the atlas	40	low precision
São José do Mantimento/MG · view pair in the atlas	20	low precision
Durandé/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	150	41.1%	20-49
Multi-step migration	140	38.4%	20-49
Return to municipality of birth	75	20.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	85	38.6%	20-49
Completed high school, incomplete higher education	85	38.6%	20-49
Completed higher education	25	11.4%	5-19
Completed elementary, incomplete high school	25	11.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	145	39.7%	50-99
¼ to ½ minimum wage	90	24.7%	20-49
1 to 2 minimum wages	60	16.4%	5-19
Up to ¼ of a minimum wage	40	11.0%	5-19
More than 2 minimum wages	30	8.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	65	17.8%	20-49
Ages 15–24, female	55	15.1%	5-19
Ages 25–39, male	45	12.3%	5-19
Ages 40–59, male	40	11.0%	5-19
Ages 40–59, female	40	11.0%	5-19
Ages 15–24, male	35	9.6%	5-19
Ages 5–14, male	30	8.2%	5-19
Ages 60 and over, female	25	6.8%	5-19
Ages 5–14, female	25	6.8%	5-19
Other / suppressed	5	1.4%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	175	58.3%	20-49
Return to municipality of birth	65	21.7%	5-19
First move from municipality of birth	60	20.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	95	48.7%	20-49
Completed high school, incomplete higher education	45	23.1%	5-19
Completed elementary, incomplete high school	40	20.5%	5-19
Other / suppressed	15	7.7%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	120	40.7%	20-49
¼ to ½ minimum wage	55	18.6%	5-19
Up to ¼ of a minimum wage	45	15.3%	5-19
1 to 2 minimum wages	40	13.6%	5-19
More than 2 minimum wages	35	11.9%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	85	28.8%	5-19
Ages 25–39, female	60	20.3%	5-19
Ages 5–14, female	50	16.9%	5-19
Ages 40–59, male	45	15.3%	5-19
Ages 25–39, male	40	13.6%	5-19
Ages 5–14, male	15	5.1%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,900	49.5%	>=500
Completed high school, incomplete higher education	960	25.0%	100-499
Completed elementary, incomplete high school	635	16.5%	100-499
Completed higher education	345	9.0%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,010	35.2%	>=500
¼ to ½ minimum wage	1,335	23.4%	100-499
Up to ¼ of a minimum wage	1,160	20.3%	100-499
1 to 2 minimum wages	845	14.8%	100-499
More than 2 minimum wages	280	4.9%	50-99
Not applicable (collective dwelling)	80	1.4%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	765	14.5%	100-499
Ages 40–59, female	745	14.1%	100-499
Ages 25–39, male	620	11.8%	100-499
Ages 25–39, female	600	11.4%	100-499
Ages 60 and over, male	570	10.8%	100-499
Ages 60 and over, female	540	10.2%	100-499
Ages 5–14, female	390	7.4%	100-499
Ages 15–24, male	370	7.0%	100-499
Ages 15–24, female	340	6.4%	100-499
Ages 5–14, male	335	6.4%	100-499

Commuting (work and study)

Commuting indicators for Chalé/MG
Employed persons (aged 10 and over)	2,110
Commute out to work in another municipality	125
Commute in from another municipality to work here	140
Net commuting	+15
Out-commuting rate (%)	5.94
Commuting attraction index	0.994
Median commuting time	40 min

Open Chalé/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]: Chalé/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/chale-mg-3116001/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.