Migration in Engenheiro Navarro/MG (2017–2022)

Engenheiro Navarro/MG had a reference population (aged 5 or over in 2022) of 5,960 people. In the 2017–2022 five-year period, the municipality received 420 in-migrants and lost 365 out-migrants to other municipalities in Brazil, resulting in a net migration of +55 people (8.96 per 1,000 population) and a migration effectiveness index (IEM) of 0.068. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Engenheiro Navarro/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	420	319 to 521	good
Out-migrants	365	183 to 547	use with caution
Net migration	+55	−154 to 264	not classified
Net migration rate, TLM (per 1,000 pop.)	8.96	-	-
Migration effectiveness index (IEM)	0.068	-	-

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 Engenheiro Navarro/MG
Origin	People	Precision
Bocaiúva/MG · view pair in the atlas	90	use with caution
Belo Horizonte/MG · view pair in the atlas	65	use with caution
Rio de Janeiro/RJ · view pair in the atlas	40	low precision
Montes Claros/MG · view pair in the atlas	30	low precision
Betim/MG · view pair in the atlas	30	low precision
Contagem/MG · view pair in the atlas	20	low precision
Santa Luzia/MG · view pair in the atlas	15	low precision
Francisco Dumont/MG · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Engenheiro Navarro/MG
Destination	People	Precision
Bocaiúva/MG · view pair in the atlas	85	low precision
Montes Claros/MG · view pair in the atlas	75	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	170	41.0%	50-99
Return to municipality of birth	145	34.9%	50-99
Multi-step migration	100	24.1%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	100	37.7%	20-49
No schooling or incomplete elementary	75	28.3%	20-49
Completed elementary, incomplete high school	55	20.8%	20-49
Completed higher education	35	13.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	175	42.2%	50-99
¼ to ½ minimum wage	95	22.9%	20-49
1 to 2 minimum wages	75	18.1%	20-49
Up to ¼ of a minimum wage	50	12.0%	20-49
More than 2 minimum wages	20	4.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	65	15.7%	20-49
Ages 40–59, female	60	14.5%	20-49
Ages 40–59, male	55	13.3%	5-19
Ages 25–39, female	55	13.3%	20-49
Ages 15–24, female	45	10.8%	5-19
Ages 15–24, male	45	10.8%	5-19
Ages 5–14, male	30	7.2%	5-19
Ages 5–14, female	30	7.2%	5-19
Ages 60 and over, male	25	6.0%	5-19
Other / suppressed	5	1.2%	<5

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	170	46.6%	20-49
First move from municipality of birth	120	32.9%	5-19
Return to municipality of birth	75	20.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	85	37.0%	5-19
Completed high school, incomplete higher education	85	37.0%	5-19
Completed elementary, incomplete high school	50	21.7%	5-19
Other / suppressed	10	4.3%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	160	43.8%	5-19
¼ to ½ minimum wage	120	32.9%	20-49
1 to 2 minimum wages	65	17.8%	5-19
Other / suppressed	20	5.5%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	135	37.5%	5-19
Ages 25–39, male	60	16.7%	5-19
Ages 25–39, female	55	15.3%	5-19
Ages 40–59, male	40	11.1%	5-19
Ages 15–24, female	40	11.1%	5-19
Ages 5–14, female	30	8.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,985	50.7%	>=500
Completed high school, incomplete higher education	1,070	27.3%	100-499
Completed elementary, incomplete high school	620	15.8%	100-499
Completed higher education	240	6.1%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,350	39.6%	>=500
¼ to ½ minimum wage	1,800	30.4%	>=500
1 to 2 minimum wages	840	14.2%	100-499
Up to ¼ of a minimum wage	760	12.8%	100-499
More than 2 minimum wages	180	3.0%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	820	14.8%	100-499
Ages 40–59, male	795	14.3%	100-499
Ages 25–39, female	595	10.7%	100-499
Ages 60 and over, female	580	10.5%	100-499
Ages 60 and over, male	575	10.4%	100-499
Ages 25–39, male	555	10.0%	100-499
Ages 15–24, male	435	7.8%	100-499
Ages 5–14, female	405	7.3%	100-499
Ages 5–14, male	395	7.1%	100-499
Ages 15–24, female	390	7.0%	100-499

Commuting (work and study)

Commuting indicators for Engenheiro Navarro/MG
Employed persons (aged 10 and over)	2,380
Commute out to work in another municipality	245
Commute in from another municipality to work here	85
Net commuting	−160
Out-commuting rate (%)	10.20
Commuting attraction index	0.922
Median commuting time	45 min

Open Engenheiro Navarro/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]: Engenheiro Navarro/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/engenheiro-navarro-mg-3123809/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.