Migration in Água Boa/MG (2017–2022)

Água Boa/MG had a reference population (aged 5 or over in 2022) of 11,805 people. In the 2017–2022 five-year period, the municipality received 675 in-migrants and lost 1,290 out-migrants to other municipalities in Brazil, resulting in a net migration of −615 people (−51.99 per 1,000 population) and a migration effectiveness index (IEM) of −0.313. This classifies the municipality, for the period, as one of migratory depletion. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Água Boa/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	675	506 to 844	good
Out-migrants	1,290	992 to 1,588	good
Net migration	−615	−957 to −273	not classified
Net migration rate, TLM (per 1,000 pop.)	−51.99	-	-
Migration effectiveness index (IEM)	−0.313	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Água Boa/MG
Origin	People	Precision
Nova Serrana/MG · view pair in the atlas	125	low precision
Belo Horizonte/MG · view pair in the atlas	85	low precision
Santa Maria do Suaçuí/MG · view pair in the atlas	35	low precision
Igaratinga/MG · view pair in the atlas	35	low precision
Capelinha/MG · view pair in the atlas	30	low precision
Malacacheta/MG · view pair in the atlas	30	low precision
São Paulo/SP · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Água Boa/MG
Destination	People	Precision
Nova Serrana/MG · view pair in the atlas	215	low precision
Capelinha/MG · view pair in the atlas	135	low precision
Igaratinga/MG · view pair in the atlas	75	low precision
Santa Maria do Suaçuí/MG · view pair in the atlas	75	low precision
Malacacheta/MG · view pair in the atlas	45	low precision
São José da Safira/MG · view pair in the atlas	30	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Return to municipality of birth	250	37.3%	50-99
Multi-step migration	215	32.1%	20-49
First move from municipality of birth	205	30.6%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	250	57.5%	50-99
Completed high school, incomplete higher education	105	24.1%	20-49
Completed higher education	40	9.2%	5-19
Completed elementary, incomplete high school	40	9.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	295	44.0%	50-99
¼ to ½ minimum wage	195	29.1%	20-49
More than 2 minimum wages	65	9.7%	5-19
Up to ¼ of a minimum wage	65	9.7%	5-19
1 to 2 minimum wages	50	7.5%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	125	18.7%	20-49
Ages 40–59, male	95	14.2%	20-49
Ages 25–39, male	75	11.2%	5-19
Ages 40–59, female	75	11.2%	5-19
Ages 15–24, female	70	10.4%	5-19
Ages 5–14, female	65	9.7%	5-19
Ages 5–14, male	55	8.2%	5-19
Ages 15–24, male	45	6.7%	5-19
Ages 60 and over, female	40	6.0%	5-19
Ages 60 and over, male	25	3.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	880	68.2%	100-499
Multi-step migration	280	21.7%	20-49
Return to municipality of birth	130	10.1%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	265	40.2%	20-49
Completed high school, incomplete higher education	200	30.3%	20-49
Completed elementary, incomplete high school	115	17.4%	5-19
Completed higher education	80	12.1%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	520	40.3%	50-99
1 to 2 minimum wages	270	20.9%	20-49
¼ to ½ minimum wage	215	16.7%	20-49
More than 2 minimum wages	170	13.2%	5-19
Up to ¼ of a minimum wage	100	7.8%	5-19
Other / suppressed	15	1.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, female	260	20.2%	20-49
Ages 25–39, female	255	19.8%	20-49
Ages 15–24, male	185	14.3%	20-49
Ages 25–39, male	140	10.9%	20-49
Ages 40–59, male	100	7.8%	5-19
Ages 5–14, male	95	7.4%	5-19
Ages 5–14, female	95	7.4%	5-19
Ages 60 and over, female	60	4.7%	5-19
Ages 40–59, female	55	4.3%	5-19
Ages 60 and over, male	45	3.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	5,210	68.1%	>=500
Completed high school, incomplete higher education	1,035	13.5%	100-499
Completed elementary, incomplete high school	950	12.4%	100-499
Completed higher education	455	5.9%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	4,200	35.3%	>=500
¼ to ½ minimum wage	2,940	24.7%	>=500
Up to ¼ of a minimum wage	2,715	22.8%	>=500
1 to 2 minimum wages	1,485	12.5%	100-499
More than 2 minimum wages	545	4.6%	100-499
Other / suppressed	25	0.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,620	14.6%	100-499
Ages 40–59, female	1,515	13.6%	100-499
Ages 25–39, male	1,250	11.2%	100-499
Ages 25–39, female	1,155	10.4%	100-499
Ages 60 and over, female	1,090	9.8%	100-499
Ages 60 and over, male	1,020	9.2%	100-499
Ages 15–24, male	980	8.8%	100-499
Ages 15–24, female	895	8.0%	100-499
Ages 5–14, female	805	7.2%	100-499
Ages 5–14, male	800	7.2%	100-499

Commuting (work and study)

Commuting indicators for Água Boa/MG
Employed persons (aged 10 and over)	4,765
Commute out to work in another municipality	160
Commute in from another municipality to work here	235
Net commuting	+75
Out-commuting rate (%)	3.31
Commuting attraction index	1.005
Median commuting time	40 min

Open Água Boa/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]: Água Boa/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/agua-boa-mg-3100609/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.