Migration in Nova Resende/MG (2017–2022)

Nova Resende/MG had a reference population (aged 5 or over in 2022) of 15,395 people. In the 2017–2022 five-year period, the municipality received 480 in-migrants and lost 695 out-migrants to other municipalities in Brazil, resulting in a net migration of −215 people (−14.05 per 1,000 population) and a migration effectiveness index (IEM) of −0.184. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Nova Resende/MG, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	480	336 to 624	use with caution
Out-migrants	695	428 to 962	use with caution
Net migration	−215	−518 to 88	not classified
Net migration rate, TLM (per 1,000 pop.)	−14.05	-	-
Migration effectiveness index (IEM)	−0.184	-	-

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 Nova Resende/MG
Origin	People	Precision
Juruaia/MG · view pair in the atlas	55	low precision
São Paulo/SP · view pair in the atlas	25	low precision

Top 10 destinations of out-migrants from Nova Resende/MG
Destination	People	Precision
Bom Jesus da Penha/MG · view pair in the atlas	40	low precision
Carmo do Rio Claro/MG · view pair in the atlas	35	low precision
Juruaia/MG · view pair in the atlas	30	low precision
Monte Belo/MG · view pair in the atlas	30	low precision
São Pedro da União/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	235	49.0%	20-49
Multi-step migration	185	38.5%	20-49
Return to municipality of birth	55	11.5%	5-19
Other / suppressed	5	1.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	120	35.8%	20-49
Completed elementary, incomplete high school	80	23.9%	5-19
Completed higher education	80	23.9%	5-19
Completed high school, incomplete higher education	55	16.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	190	40.0%	20-49
1 to 2 minimum wages	140	29.5%	20-49
More than 2 minimum wages	70	14.7%	5-19
¼ to ½ minimum wage	55	11.6%	5-19
Other / suppressed	20	4.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	100	21.1%	5-19
Ages 25–39, male	90	18.9%	5-19
Ages 15–24, female	55	11.6%	5-19
Ages 40–59, female	40	8.4%	5-19
Ages 40–59, male	40	8.4%	5-19
Ages 60 and over, female	35	7.4%	5-19
Ages 15–24, male	35	7.4%	5-19
Ages 5–14, male	30	6.3%	5-19
Ages 5–14, female	25	5.3%	5-19
Ages 60 and over, male	25	5.3%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	285	41.0%	20-49
Multi-step migration	265	38.1%	20-49
Return to municipality of birth	145	20.9%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	220	53.0%	20-49
Completed elementary, incomplete high school	85	20.5%	5-19
Completed high school, incomplete higher education	75	18.1%	5-19
Completed higher education	35	8.4%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	275	39.6%	20-49
¼ to ½ minimum wage	160	23.0%	20-49
More than 2 minimum wages	130	18.7%	5-19
1 to 2 minimum wages	110	15.8%	5-19
Other / suppressed	20	2.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	115	16.5%	5-19
Ages 15–24, female	105	15.1%	5-19
Ages 40–59, female	105	15.1%	5-19
Ages 25–39, female	90	12.9%	5-19
Ages 40–59, male	70	10.1%	5-19
Ages 5–14, female	60	8.6%	5-19
Ages 15–24, male	55	7.9%	5-19
Ages 5–14, male	55	7.9%	5-19
Other / suppressed	40	5.8%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	6,570	60.8%	>=500
Completed high school, incomplete higher education	1,730	16.0%	100-499
Completed elementary, incomplete high school	1,500	13.9%	100-499
Completed higher education	1,000	9.3%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	7,580	47.7%	>=500
1 to 2 minimum wages	3,745	23.5%	>=500
¼ to ½ minimum wage	2,655	16.7%	>=500
More than 2 minimum wages	1,210	7.6%	100-499
Up to ¼ of a minimum wage	675	4.2%	100-499
Not applicable (collective dwelling)	40	0.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	2,180	14.6%	100-499
Ages 40–59, female	2,080	13.9%	100-499
Ages 25–39, male	1,885	12.6%	100-499
Ages 25–39, female	1,635	11.0%	100-499
Ages 60 and over, male	1,550	10.4%	100-499
Ages 60 and over, female	1,470	9.9%	100-499
Ages 15–24, male	1,105	7.4%	100-499
Ages 15–24, female	1,040	7.0%	100-499
Ages 5–14, male	1,015	6.8%	100-499
Ages 5–14, female	955	6.4%	100-499

Commuting (work and study)

Commuting indicators for Nova Resende/MG
Employed persons (aged 10 and over)	7,935
Commute out to work in another municipality	145
Commute in from another municipality to work here	825
Net commuting	+680
Out-commuting rate (%)	1.82
Commuting attraction index	1.066
Median commuting time	40 min

Open Nova Resende/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]: Nova Resende/MG. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/nova-resende-mg-3145109/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.