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

Migration in Guiratinga/MT (2017–2022)

Guiratinga/MT had a reference population (aged 5 or over in 2022) of 10,365 people. In the 2017–2022 five-year period, the municipality received 1,020 in-migrants and lost 635 out-migrants to other municipalities in Brazil, resulting in a net migration of +385 people (36.92 per 1,000 population) and a migration effectiveness index (IEM) of 0.231. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for Guiratinga/MT, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants1,020785 to 1,255good
Out-migrants635436 to 834use with caution
Net migration+38577 to 693not classified
Net migration rate, TLM (per 1,000 pop.)36.92--
Migration effectiveness index (IEM)0.231--

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 Guiratinga/MT
OriginPeoplePrecision
Rondonópolis/MT · view pair in the atlas395use with caution
Tesouro/MT · view pair in the atlas60low precision
Poxoréu/MT · view pair in the atlas50low precision
Cuiabá/MT · view pair in the atlas35low precision
Top 10 destinations of out-migrants from Guiratinga/MT
DestinationPeoplePrecision
Rondonópolis/MT · view pair in the atlas245use with caution
Poxoréu/MT · view pair in the atlas45low precision
Tesouro/MT · view pair in the atlas45low precision
Pedra Preta/MT · view pair in the atlas35low precision
São José do Povo/MT · view pair in the atlas20low precision
Torixoréu/MT · view pair in the atlas15low precision
Ribeirãozinho/MT · view pair in the atlas10low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration46045.1%50-99
First move from municipality of birth31530.9%50-99
Return to municipality of birth24524.0%20-49
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary28541.6%20-49
Completed high school, incomplete higher education19528.5%20-49
Completed elementary, incomplete high school12017.5%20-49
Completed higher education8512.4%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage41540.9%50-99
1 to 2 minimum wages22021.7%20-49
More than 2 minimum wages16015.8%20-49
¼ to ½ minimum wage13513.3%20-49
Up to ¼ of a minimum wage656.4%5-19
Other / suppressed202.0%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female18017.6%20-49
Ages 40–59, male16516.1%20-49
Ages 25–39, male13012.7%20-49
Ages 40–59, female12011.7%20-49
Ages 5–14, female1009.8%20-49
Ages 5–14, male908.8%5-19
Ages 15–24, male807.8%5-19
Ages 15–24, female656.3%5-19
Ages 60 and over, male605.9%5-19
Ages 60 and over, female353.4%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
First move from municipality of birth31549.2%50-99
Multi-step migration27543.0%20-49
Return to municipality of birth507.8%5-19
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary21547.3%20-49
Completed high school, incomplete higher education10022.0%5-19
Completed elementary, incomplete high school7516.5%5-19
Completed higher education6514.3%5-19
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage21032.8%20-49
More than 2 minimum wages13020.3%5-19
1 to 2 minimum wages12519.5%20-49
¼ to ½ minimum wage11518.0%5-19
Other / suppressed609.4%<5
Age and sex
CategoryEstimateShareSample
Ages 40–59, male10516.4%5-19
Ages 25–39, male10015.6%5-19
Ages 60 and over, male7010.9%5-19
Ages 60 and over, female7010.9%5-19
Ages 15–24, female6510.2%5-19
Ages 40–59, female609.4%5-19
Ages 15–24, male507.8%5-19
Ages 25–39, female507.8%5-19
Ages 5–14, female457.0%5-19
Other / suppressed253.9%<5

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary3,42048.7%>=500
Completed high school, incomplete higher education1,72524.6%100-499
Completed higher education94513.5%100-499
Completed elementary, incomplete high school93513.3%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
½ to 1 minimum wage3,85538.7%>=500
1 to 2 minimum wages2,62026.3%>=500
¼ to ½ minimum wage1,64016.5%100-499
More than 2 minimum wages1,18511.9%100-499
Up to ¼ of a minimum wage4955.0%100-499
Not applicable (collective dwelling)1551.6%5-19
Age and sex
CategoryEstimateShareSample
Ages 40–59, male1,49516.0%100-499
Ages 40–59, female1,45015.5%100-499
Ages 60 and over, male1,20512.9%100-499
Ages 60 and over, female1,19012.7%100-499
Ages 25–39, male8959.6%100-499
Ages 25–39, female7908.5%100-499
Ages 15–24, male6456.9%100-499
Ages 15–24, female5756.2%100-499
Ages 5–14, male5555.9%100-499
Ages 5–14, female5405.8%100-499

Commuting (work and study)

Commuting indicators for Guiratinga/MT
Employed persons (aged 10 and over)4,705
Commute out to work in another municipality190
Commute in from another municipality to work here225
Net commuting+35
Out-commuting rate (%)4.05
Commuting attraction index0.994
Median commuting time90 min

Open Guiratinga/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]: Guiratinga/MT. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/guiratinga-mt-5104203/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.