Migration in Ribeirão das Neves/MG (2017–2022)

Ribeirão das Neves/MG had a reference population (aged 5 or over in 2022) of 308,160 people. In the 2017–2022 five-year period, the municipality received 25,275 in-migrants and lost 11,675 out-migrants to other municipalities in Brazil, resulting in a net migration of +13,600 people (44.14 per 1,000 population) and a migration effectiveness index (IEM) of 0.368. This classifies the municipality, for the period, as one of migratory attraction. In addition, 185 arrived with an unreported origin and 325 came from abroad.

Indicators

Migration indicators for Ribeirão das Neves/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	25,275	23,739 to 26,811	good
Out-migrants	11,675	10,433 to 12,917	good
Net migration	+13,600	11,625 to 15,575	not classified
Net migration rate, TLM (per 1,000 pop.)	44.14	-	-
Migration effectiveness index (IEM)	0.368	-	-

Sample of in-migrants: >=500 observations. Sample of out-migrants: >=500 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Ribeirão das Neves/MG
Origin	People	Precision
Belo Horizonte/MG · view pair in the atlas	12,245	good
Contagem/MG · view pair in the atlas	2,555	good
Santa Luzia/MG · view pair in the atlas	910	use with caution
Esmeraldas/MG · view pair in the atlas	645	use with caution
Betim/MG · view pair in the atlas	585	use with caution
Vespasiano/MG · view pair in the atlas	495	use with caution
Ibirité/MG · view pair in the atlas	380	use with caution
Sete Lagoas/MG · view pair in the atlas	230	use with caution
São Paulo/SP · view pair in the atlas	225	use with caution
Sabará/MG · view pair in the atlas	220	low precision

Top 10 destinations of out-migrants from Ribeirão das Neves/MG
Destination	People	Precision
Belo Horizonte/MG · view pair in the atlas	2,605	good
Contagem/MG · view pair in the atlas	2,030	use with caution
Esmeraldas/MG · view pair in the atlas	1,035	use with caution
Vespasiano/MG · view pair in the atlas	575	use with caution
Santa Luzia/MG · view pair in the atlas	455	use with caution
Betim/MG · view pair in the atlas	365	use with caution
São Joaquim de Bicas/MG · view pair in the atlas	305	use with caution
Sabará/MG · view pair in the atlas	275	low precision
Ibirité/MG · view pair in the atlas	215	low precision
Lagoa Santa/MG · view pair in the atlas	210	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	13,445	53.2%	>=500
Multi-step migration	10,840	42.9%	>=500
Return to municipality of birth	910	3.6%	50-99
Born abroad, internal migrant	80	0.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	6,465	39.4%	>=500
No schooling or incomplete elementary	5,055	30.8%	100-499
Completed elementary, incomplete high school	3,245	19.8%	100-499
Completed higher education	1,630	9.9%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	8,280	32.8%	>=500
1 to 2 minimum wages	5,165	20.4%	100-499
¼ to ½ minimum wage	5,015	19.8%	100-499
Not applicable (collective dwelling)	2,420	9.6%	100-499
Up to ¼ of a minimum wage	2,255	8.9%	100-499
More than 2 minimum wages	2,140	8.5%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	5,190	20.5%	100-499
Ages 25–39, female	3,740	14.8%	100-499
Ages 40–59, male	2,860	11.3%	100-499
Ages 40–59, female	2,670	10.6%	100-499
Ages 15–24, female	2,450	9.7%	100-499
Ages 15–24, male	2,425	9.6%	100-499
Ages 5–14, female	2,160	8.5%	100-499
Ages 5–14, male	1,850	7.3%	100-499
Ages 60 and over, female	1,020	4.0%	50-99
Ages 60 and over, male	910	3.6%	50-99

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	7,175	61.5%	>=500
Return to municipality of birth	2,525	21.6%	100-499
First move from municipality of birth	1,960	16.8%	100-499
Other / suppressed	15	0.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	3,145	41.0%	100-499
No schooling or incomplete elementary	2,030	26.4%	100-499
Completed higher education	1,350	17.6%	100-499
Completed elementary, incomplete high school	1,150	15.0%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	4,145	35.5%	100-499
1 to 2 minimum wages	2,520	21.6%	100-499
¼ to ½ minimum wage	1,925	16.5%	100-499
More than 2 minimum wages	1,625	13.9%	100-499
Up to ¼ of a minimum wage	810	6.9%	100-499
Not applicable (collective dwelling)	655	5.6%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	2,365	20.3%	100-499
Ages 25–39, female	2,020	17.3%	100-499
Ages 40–59, male	1,460	12.5%	100-499
Ages 40–59, female	1,245	10.7%	100-499
Ages 5–14, female	1,015	8.7%	100-499
Ages 15–24, female	1,015	8.7%	50-99
Ages 15–24, male	1,015	8.7%	100-499
Ages 5–14, male	955	8.2%	50-99
Ages 60 and over, female	300	2.6%	20-49
Ages 60 and over, male	285	2.4%	20-49

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	77,825	40.1%	>=500
Completed high school, incomplete higher education	66,885	34.5%	>=500
Completed elementary, incomplete high school	32,770	16.9%	>=500
Completed higher education	16,515	8.5%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	114,015	37.5%	>=500
1 to 2 minimum wages	75,590	24.9%	>=500
¼ to ½ minimum wage	60,315	19.8%	>=500
Up to ¼ of a minimum wage	30,875	10.2%	>=500
More than 2 minimum wages	18,695	6.1%	>=500
Not applicable (collective dwelling)	4,520	1.5%	100-499

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	42,495	15.0%	>=500
Ages 40–59, male	39,035	13.8%	>=500
Ages 25–39, male	36,500	12.9%	>=500
Ages 25–39, female	36,100	12.8%	>=500
Ages 15–24, male	24,350	8.6%	>=500
Ages 15–24, female	22,565	8.0%	>=500
Ages 60 and over, female	22,265	7.9%	>=500
Ages 5–14, male	21,595	7.6%	>=500
Ages 5–14, female	19,870	7.0%	>=500
Ages 60 and over, male	17,605	6.2%	>=500

Commuting (work and study)

Commuting indicators for Ribeirão das Neves/MG
Employed persons (aged 10 and over)	155,325
Commute out to work in another municipality	72,585
Commute in from another municipality to work here	7,155
Net commuting	−65,430
Out-commuting rate (%)	46.73
Commuting attraction index	0.539
Median commuting time	75 min

This municipality is part of Região Metropolitana de Belo Horizonte → see the metropolitan region page

Open Ribeirão das Neves/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]: Ribeirão das Neves/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/ribeirao-das-neves-mg-3154606/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.