Migration in Nova Monte Verde/MT (2017–2022)

Nova Monte Verde/MT had a reference population (aged 5 or over in 2022) of 7,645 people. In the 2017–2022 five-year period, the municipality received 725 in-migrants and lost 595 out-migrants to other municipalities in Brazil, resulting in a net migration of +130 people (16.98 per 1,000 population) and a migration effectiveness index (IEM) of 0.098. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Nova Monte Verde/MT, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	725	514 to 936	good
Out-migrants	595	404 to 786	use with caution
Net migration	+130	−154 to 414	not classified
Net migration rate, TLM (per 1,000 pop.)	16.98	-	-
Migration effectiveness index (IEM)	0.098	-	-

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 Nova Monte Verde/MT
Origin	People	Precision
Alta Floresta/MT · view pair in the atlas	110	low precision
Nova Bandeirantes/MT · view pair in the atlas	70	low precision
Apiacás/MT · view pair in the atlas	65	low precision
Sinop/MT · view pair in the atlas	65	low precision
Colíder/MT · view pair in the atlas	40	low precision

Top 10 destinations of out-migrants from Nova Monte Verde/MT
Destination	People	Precision
Alta Floresta/MT · view pair in the atlas	75	low precision
Sinop/MT · view pair in the atlas	75	low precision
Nova Bandeirantes/MT · view pair in the atlas	55	low precision
Apiacás/MT · view pair in the atlas	50	low precision
Paranaíta/MT · view pair in the atlas	30	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	390	54.2%	50-99
First move from municipality of birth	310	43.1%	50-99
Other / suppressed	20	2.8%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	195	48.8%	20-49
Completed high school, incomplete higher education	75	18.8%	5-19
Completed higher education	70	17.5%	5-19
Completed elementary, incomplete high school	60	15.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	275	37.7%	50-99
½ to 1 minimum wage	180	24.7%	20-49
¼ to ½ minimum wage	155	21.2%	20-49
More than 2 minimum wages	90	12.3%	5-19
Up to ¼ of a minimum wage	30	4.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	120	16.4%	20-49
Ages 25–39, male	105	14.4%	20-49
Ages 15–24, female	100	13.7%	5-19
Ages 5–14, male	95	13.0%	20-49
Ages 5–14, female	85	11.6%	5-19
Ages 40–59, female	70	9.6%	5-19
Ages 40–59, male	65	8.9%	5-19
Ages 15–24, male	45	6.2%	5-19
Other / suppressed	45	6.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	470	79.0%	50-99
Return to municipality of birth	75	12.6%	5-19
First move from municipality of birth	50	8.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	130	40.0%	20-49
Completed high school, incomplete higher education	110	33.8%	5-19
Completed higher education	45	13.8%	5-19
Completed elementary, incomplete high school	40	12.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	240	40.3%	20-49
1 to 2 minimum wages	180	30.3%	20-49
More than 2 minimum wages	115	19.3%	5-19
¼ to ½ minimum wage	35	5.9%	5-19
Other / suppressed	25	4.2%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 15–24, male	135	22.7%	5-19
Ages 25–39, male	95	16.0%	5-19
Ages 15–24, female	75	12.6%	5-19
Ages 25–39, female	60	10.1%	5-19
Ages 40–59, female	55	9.2%	5-19
Ages 40–59, male	50	8.4%	5-19
Ages 5–14, male	35	5.9%	5-19
Ages 5–14, female	30	5.0%	5-19
Ages 60 and over, male	30	5.0%	5-19
Ages 60 and over, female	30	5.0%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	2,480	50.9%	100-499
Completed high school, incomplete higher education	1,285	26.4%	100-499
Completed elementary, incomplete high school	640	13.1%	100-499
Completed higher education	465	9.5%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	2,735	36.1%	>=500
1 to 2 minimum wages	2,005	26.4%	100-499
More than 2 minimum wages	1,260	16.6%	100-499
¼ to ½ minimum wage	1,160	15.3%	100-499
Up to ¼ of a minimum wage	405	5.3%	50-99
Other / suppressed	20	0.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	1,135	16.4%	100-499
Ages 25–39, male	935	13.5%	100-499
Ages 40–59, female	890	12.9%	100-499
Ages 25–39, female	880	12.7%	100-499
Ages 15–24, male	555	8.0%	50-99
Ages 60 and over, male	555	8.0%	50-99
Ages 5–14, male	525	7.6%	100-499
Ages 5–14, female	505	7.3%	100-499
Ages 60 and over, female	480	6.9%	50-99
Ages 15–24, female	460	6.6%	50-99

Commuting (work and study)

Commuting indicators for Nova Monte Verde/MT
Employed persons (aged 10 and over)	3,460
Commute out to work in another municipality	25
Commute in from another municipality to work here	155
Net commuting	+130
Out-commuting rate (%)	0.78
Commuting attraction index	1.027
Median commuting time	22 min

Open Nova Monte Verde/MT 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 Monte Verde/MT. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/nova-monte-verde-mt-5108956/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.