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Atlas of internal migration in Brazil 2022 Census · 2017–2022

Migration in Nova Maringá/MT (2017–2022)

Nova Maringá/MT had a reference population (aged 5 or over in 2022) of 5,290 people. In the 2017–2022 five-year period, the municipality received 1,105 in-migrants and lost 570 out-migrants to other municipalities in Brazil, resulting in a net migration of +535 people (101.02 per 1,000 population) and a migration effectiveness index (IEM) of 0.319. This classifies the municipality, for the period, as one of migratory attraction. In addition, 20 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Nova Maringá/MT, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,105877 to 1,333good
Out-migrants570343 to 797use with caution
Net migration+535213 to 857not classified
Net migration rate, TLM (per 1,000 pop.)101.02--
Migration effectiveness index (IEM)0.319--

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 Maringá/MT
OriginPeoplePrecision
São José do Rio Claro/MT · view pair in the atlas105low precision
Cuiabá/MT · view pair in the atlas100low precision
Sorriso/MT · view pair in the atlas95low precision
Tapurah/MT · view pair in the atlas65low precision
Tangará da Serra/MT · view pair in the atlas60low precision
Brasnorte/MT · view pair in the atlas55low precision
Lucas do Rio Verde/MT · view pair in the atlas40low precision
Nova Mutum/MT · view pair in the atlas40low precision
Campo Novo do Parecis/MT · view pair in the atlas30low precision
Itanhangá/MT · view pair in the atlas25low precision
Top 10 destinations of out-migrants from Nova Maringá/MT
DestinationPeoplePrecision
Tapurah/MT · view pair in the atlas70low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration61055.5%100-499
First move from municipality of birth43039.1%50-99
Return to municipality of birth504.5%5-19
Other / suppressed100.9%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary23536.2%20-49
Completed high school, incomplete higher education17526.9%20-49
Completed elementary, incomplete high school13020.0%20-49
Completed higher education11016.9%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage42038.0%50-99
1 to 2 minimum wages39535.7%50-99
More than 2 minimum wages17015.4%20-49
¼ to ½ minimum wage756.8%5-19
Up to ¼ of a minimum wage252.3%5-19
Other / suppressed201.8%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female20018.1%20-49
Ages 25–39, male19517.6%20-49
Ages 15–24, female13011.8%20-49
Ages 5–14, female12010.9%20-49
Ages 40–59, male11510.4%20-49
Ages 40–59, female1059.5%5-19
Ages 15–24, male1009.0%20-49
Ages 5–14, male1009.0%20-49
Ages 60 and over, male302.7%5-19
Other / suppressed100.9%<5

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration48585.8%50-99
Return to municipality of birth508.8%5-19
First move from municipality of birth305.3%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education14046.7%5-19
No schooling or incomplete elementary10033.3%5-19
Completed elementary, incomplete high school3511.7%5-19
Completed higher education258.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage19534.5%20-49
1 to 2 minimum wages16529.2%20-49
¼ to ½ minimum wage7513.3%5-19
More than 2 minimum wages7513.3%5-19
Up to ¼ of a minimum wage356.2%5-19
Other / suppressed203.5%<5
Age and sex
CategoryEstimateShareSample
Ages 5–14, male9516.7%5-19
Ages 25–39, male8014.0%5-19
Ages 15–24, female7012.3%5-19
Ages 40–59, male6511.4%5-19
Ages 40–59, female6511.4%5-19
Ages 15–24, male6010.5%5-19
Ages 25–39, female6010.5%5-19
Ages 5–14, female407.0%5-19
Other / suppressed356.1%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary1,41051.8%100-499
Completed high school, incomplete higher education60022.1%100-499
Completed elementary, incomplete high school52019.1%50-99
Completed higher education1907.0%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages1,49031.7%100-499
½ to 1 minimum wage1,43030.4%100-499
More than 2 minimum wages82517.5%100-499
¼ to ½ minimum wage48010.2%50-99
Up to ¼ of a minimum wage4659.9%50-99
Other / suppressed150.3%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male68016.4%100-499
Ages 40–59, female57013.7%50-99
Ages 25–39, male53512.9%50-99
Ages 25–39, female45010.8%50-99
Ages 15–24, male4009.6%50-99
Ages 5–14, male3558.6%50-99
Ages 5–14, female3558.6%50-99
Ages 15–24, female3207.7%50-99
Ages 60 and over, male2656.4%50-99
Ages 60 and over, female2205.3%20-49

Commuting (work and study)

Commuting indicators for Nova Maringá/MT
Employed persons (aged 10 and over)3,010
Commute out to work in another municipality35
Commute in from another municipality to work here210
Net commuting+180
Out-commuting rate (%)1.15
Commuting attraction index1.055
Median commuting time35 min

Open Nova Maringá/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 Maringá/MT. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/nova-maringa-mt-5108907/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.