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

Migration in Conquista D'Oeste/MT (2017–2022)

Conquista D'Oeste/MT had a reference population (aged 5 or over in 2022) of 3,425 people. In the 2017–2022 five-year period, the municipality received 845 in-migrants and lost 330 out-migrants to other municipalities in Brazil, resulting in a net migration of +510 people (149.56 per 1,000 population) and a migration effectiveness index (IEM) of 0.436. This classifies the municipality, for the period, as one of migratory attraction. In addition, 15 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Conquista D'Oeste/MT, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants845685 to 1,005good
Out-migrants330131 to 529low precision
Net migration+510255 to 765not classified
Net migration rate, TLM (per 1,000 pop.)149.56--
Migration effectiveness index (IEM)0.436--

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 Conquista D'Oeste/MT
OriginPeoplePrecision
Pontes e Lacerda/MT · view pair in the atlas120use with caution
Nova Lacerda/MT · view pair in the atlas85low precision
Vila Bela da Santíssima Trindade/MT · view pair in the atlas35low precision
Sapezal/MT · view pair in the atlas30low precision
Vale de São Domingos/MT · view pair in the atlas30low precision
Várzea Grande/MT · view pair in the atlas25low precision
Vilhena/RO · view pair in the atlas25low precision
São José dos Quatro Marcos/MT · view pair in the atlas25low precision
Comodoro/MT · view pair in the atlas20low precision
Araputanga/MT · view pair in the atlas15low precision
Top 10 destinations of out-migrants from Conquista D'Oeste/MT
DestinationPeoplePrecision
Nova Lacerda/MT · view pair in the atlas85use with caution
Vila Bela da Santíssima Trindade/MT · view pair in the atlas30low precision
Campos de Júlio/MT · view pair in the atlas20low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration56566.9%100-499
First move from municipality of birth27032.0%50-99
Other / suppressed101.2%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary17536.8%50-99
Completed high school, incomplete higher education16033.7%50-99
Completed elementary, incomplete high school8016.8%20-49
Completed higher education6012.6%20-49
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage27032.1%50-99
1 to 2 minimum wages23528.0%50-99
¼ to ½ minimum wage18021.4%50-99
More than 2 minimum wages11013.1%20-49
Up to ¼ of a minimum wage404.8%5-19
Other / suppressed50.6%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female13516.1%20-49
Ages 15–24, female11013.1%20-49
Ages 25–39, male10512.5%20-49
Ages 5–14, male10011.9%20-49
Ages 40–59, male9511.3%20-49
Ages 5–14, female8510.1%20-49
Ages 40–59, female809.5%20-49
Ages 15–24, male758.9%20-49
Ages 60 and over, male303.6%5-19
Ages 60 and over, female253.0%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration26580.3%50-99
Other / suppressed6519.7%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary10051.3%20-49
Completed higher education6030.8%5-19
Completed high school, incomplete higher education2512.8%5-19
Other / suppressed105.1%<5
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages12035.8%20-49
¼ to ½ minimum wage9026.9%5-19
More than 2 minimum wages6017.9%5-19
½ to 1 minimum wage5516.4%5-19
Other / suppressed103.0%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female6519.7%5-19
Other / suppressed5516.7%5-19
Ages 15–24, female5516.7%5-19
Ages 40–59, female4012.1%5-19
Ages 25–39, male3510.6%5-19
Ages 5–14, male309.1%5-19
Ages 40–59, male257.6%5-19
Ages 5–14, female257.6%5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary84047.5%100-499
Completed high school, incomplete higher education53029.9%100-499
Completed elementary, incomplete high school20511.6%50-99
Completed higher education19511.0%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages97033.4%100-499
½ to 1 minimum wage87029.9%100-499
¼ to ½ minimum wage43014.8%100-499
More than 2 minimum wages38013.1%100-499
Up to ¼ of a minimum wage2508.6%100-499
Other / suppressed50.2%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, female38515.0%100-499
Ages 40–59, male37014.4%100-499
Ages 25–39, female30511.9%100-499
Ages 25–39, male30011.7%100-499
Ages 60 and over, male2158.4%50-99
Ages 15–24, male2108.2%50-99
Ages 5–14, male2108.2%50-99
Ages 5–14, female2058.0%50-99
Ages 60 and over, female2007.8%50-99
Ages 15–24, female1706.6%50-99

Commuting (work and study)

Commuting indicators for Conquista D'Oeste/MT
Employed persons (aged 10 and over)1,685
Commute out to work in another municipality110
Commute in from another municipality to work here65
Net commuting−45
Out-commuting rate (%)6.62
Commuting attraction index0.960
Median commuting time20 min

Open Conquista D'Oeste/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]: Conquista D'Oeste/MT. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/conquista-d-oeste-mt-5103361/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.