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

Migration in União do Sul/MT (2017–2022)

União do Sul/MT had a reference population (aged 5 or over in 2022) of 3,495 people. In the 2017–2022 five-year period, the municipality received 935 in-migrants and lost 405 out-migrants to other municipalities in Brazil, resulting in a net migration of +530 people (152.29 per 1,000 population) and a migration effectiveness index (IEM) of 0.397. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 25 came from abroad.

Indicators

Migration indicators for União do Sul/MT, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants935775 to 1,095good
Out-migrants405242 to 568use with caution
Net migration+530302 to 758not classified
Net migration rate, TLM (per 1,000 pop.)152.29--
Migration effectiveness index (IEM)0.397--

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 União do Sul/MT
OriginPeoplePrecision
Sinop/MT · view pair in the atlas150use with caution
Marcelândia/MT · view pair in the atlas55low precision
Cláudia/MT · view pair in the atlas40low precision
Coroatá/MA · view pair in the atlas35low precision
Aripuanã/MT · view pair in the atlas30low precision
Sorriso/MT · view pair in the atlas30low precision
Tabaporã/MT · view pair in the atlas30low precision
Cáceres/MT · view pair in the atlas25low precision
Lucas do Rio Verde/MT · view pair in the atlas25low precision
Altamira/PA · view pair in the atlas20low precision
Top 10 destinations of out-migrants from União do Sul/MT
DestinationPeoplePrecision
Feliz Natal/MT · view pair in the atlas50low precision
Cláudia/MT · view pair in the atlas45low precision
Marcelândia/MT · view pair in the atlas30low precision
Santa Carmem/MT · view pair in the atlas25low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration62066.3%100-499
First move from municipality of birth29531.6%50-99
Return to municipality of birth151.6%5-19
Other / suppressed50.5%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary26549.1%50-99
Completed high school, incomplete higher education14025.9%20-49
Completed elementary, incomplete high school10018.5%20-49
Completed higher education356.5%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage38040.6%100-499
1 to 2 minimum wages24526.2%50-99
¼ to ½ minimum wage17018.2%50-99
Up to ¼ of a minimum wage758.0%5-19
More than 2 minimum wages657.0%20-49
Age and sex
CategoryEstimateShareSample
Ages 25–39, male14515.5%20-49
Ages 40–59, male12513.4%20-49
Ages 25–39, female11512.3%20-49
Ages 15–24, female11011.8%20-49
Ages 5–14, male11011.8%20-49
Ages 5–14, female909.6%20-49
Ages 15–24, male859.1%20-49
Ages 40–59, female859.1%20-49
Ages 60 and over, female404.3%5-19
Ages 60 and over, male303.2%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration36590.1%50-99
Other / suppressed409.9%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary20568.3%20-49
Completed higher education4013.3%5-19
Other / suppressed3010.0%<5
Completed high school, incomplete higher education258.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages18045.0%20-49
½ to 1 minimum wage12030.0%5-19
¼ to ½ minimum wage7017.5%5-19
Other / suppressed307.5%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male7017.3%5-19
Ages 60 and over, male5012.3%5-19
Ages 60 and over, female5012.3%5-19
Ages 25–39, female4511.1%5-19
Ages 25–39, male4511.1%5-19
Ages 40–59, female4511.1%5-19
Ages 15–24, female307.4%5-19
Ages 15–24, male307.4%5-19
Other / suppressed204.9%<5
Ages 5–14, male204.9%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary86050.4%100-499
Completed high school, incomplete higher education36021.1%100-499
Completed elementary, incomplete high school30017.6%50-99
Completed higher education18510.9%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage1,08037.6%100-499
1 to 2 minimum wages74526.0%100-499
More than 2 minimum wages48016.7%100-499
¼ to ½ minimum wage41014.3%100-499
Up to ¼ of a minimum wage1455.1%20-49
Other / suppressed100.3%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male42516.8%100-499
Ages 40–59, female37014.7%100-499
Ages 25–39, female29511.7%50-99
Ages 25–39, male27510.9%50-99
Ages 5–14, female2208.7%50-99
Ages 15–24, male2208.7%50-99
Ages 5–14, male2158.5%50-99
Ages 60 and over, male1957.7%50-99
Ages 15–24, female1706.7%50-99
Ages 60 and over, female1405.5%20-49

Commuting (work and study)

Commuting indicators for União do Sul/MT
Employed persons (aged 10 and over)2,010
Commute out to work in another municipality30
Commute in from another municipality to work here120
Net commuting+95
Out-commuting rate (%)1.37
Commuting attraction index1.044
Median commuting time120 min

Open União do Sul/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]: União do Sul/MT. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/uniao-do-sul-mt-5108303/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.