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

Migration in Tangará da Serra/MT (2017–2022)

Tangará da Serra/MT had a reference population (aged 5 or over in 2022) of 98,395 people. In the 2017–2022 five-year period, the municipality received 12,940 in-migrants and lost 9,555 out-migrants to other municipalities in Brazil, resulting in a net migration of +3,385 people (34.42 per 1,000 population) and a migration effectiveness index (IEM) of 0.150. This classifies the municipality, for the period, as one of migratory attraction. In addition, 130 arrived with an unreported origin and 165 came from abroad.

Indicators

Migration indicators for Tangará da Serra/MT, 2017–2022
IndicatorEstimate95% CIPrecision
In-migrants12,94011,818 to 14,062good
Out-migrants9,5558,538 to 10,572good
Net migration+3,3851,870 to 4,900not classified
Net migration rate, TLM (per 1,000 pop.)34.42--
Migration effectiveness index (IEM)0.150--

Sample of in-migrants: >=500 observations. Sample of out-migrants: >=500 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Tangará da Serra/MT
OriginPeoplePrecision
Cuiabá/MT · view pair in the atlas950use with caution
Barra do Bugres/MT · view pair in the atlas650use with caution
Campo Novo do Parecis/MT · view pair in the atlas640use with caution
Nova Olímpia/MT · view pair in the atlas565use with caution
Juína/MT · view pair in the atlas405use with caution
Cáceres/MT · view pair in the atlas275use with caution
Várzea Grande/MT · view pair in the atlas220low precision
Arenápolis/MT · view pair in the atlas210use with caution
Maceió/AL · view pair in the atlas205low precision
Nova Marilândia/MT · view pair in the atlas200low precision
Top 10 destinations of out-migrants from Tangará da Serra/MT
DestinationPeoplePrecision
Cuiabá/MT · view pair in the atlas925use with caution
Campo Novo do Parecis/MT · view pair in the atlas835use with caution
Sapezal/MT · view pair in the atlas560use with caution
Sorriso/MT · view pair in the atlas275low precision
Nova Mutum/MT · view pair in the atlas260low precision
Brasnorte/MT · view pair in the atlas240low precision
Rondonópolis/MT · view pair in the atlas225low precision
Juína/MT · view pair in the atlas225use with caution
Diamantino/MT · view pair in the atlas210low precision
Sinop/MT · view pair in the atlas200low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
CategoryEstimateShareSample
Multi-step migration7,15055.3%>=500
First move from municipality of birth4,84537.5%100-499
Return to municipality of birth9407.3%50-99
Other / suppressed00.0%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education2,56033.2%100-499
No schooling or incomplete elementary2,21528.7%100-499
Completed higher education1,89524.6%100-499
Completed elementary, incomplete high school1,04513.5%50-99
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages4,10531.7%100-499
½ to 1 minimum wage4,04531.3%100-499
More than 2 minimum wages2,34518.1%100-499
¼ to ½ minimum wage1,81014.0%100-499
Up to ¼ of a minimum wage6154.8%50-99
Other / suppressed200.2%<5
Age and sex
CategoryEstimateShareSample
Ages 25–39, female2,26517.5%100-499
Ages 25–39, male2,16016.7%100-499
Ages 15–24, female1,65512.8%100-499
Ages 15–24, male1,38510.7%100-499
Ages 40–59, female1,31510.2%100-499
Ages 40–59, male1,1508.9%100-499
Ages 5–14, male1,1058.5%100-499
Ages 5–14, female1,0257.9%100-499
Ages 60 and over, male4053.1%20-49
Ages 60 and over, female3802.9%20-49
Other / suppressed950.7%5-19

Out-migrants (departures)

Migrant type
CategoryEstimateShareSample
Multi-step migration5,23054.7%>=500
First move from municipality of birth3,37035.3%100-499
Return to municipality of birth9459.9%100-499
Other / suppressed100.1%<5
Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
Completed high school, incomplete higher education1,90531.3%100-499
Completed higher education1,81529.8%100-499
No schooling or incomplete elementary1,48024.3%100-499
Completed elementary, incomplete high school88514.5%100-499
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages2,87030.0%100-499
More than 2 minimum wages2,53026.5%100-499
½ to 1 minimum wage2,41025.2%100-499
¼ to ½ minimum wage1,10511.6%100-499
Up to ¼ of a minimum wage5205.4%50-99
Not applicable (collective dwelling)1201.3%5-19
Age and sex
CategoryEstimateShareSample
Ages 25–39, female1,73518.2%100-499
Ages 25–39, male1,54516.2%100-499
Ages 40–59, female1,15012.0%100-499
Ages 40–59, male1,11011.6%100-499
Ages 15–24, female9159.6%100-499
Ages 5–14, female8909.3%100-499
Ages 5–14, male8508.9%100-499
Ages 15–24, male8158.5%50-99
Ages 60 and over, male2903.0%20-49
Ages 60 and over, female2552.7%20-49

Non-migrant residents

Educational attainment (people aged 25 and over)
CategoryEstimateShareSample
No schooling or incomplete elementary21,52036.9%>=500
Completed high school, incomplete higher education18,39531.6%>=500
Completed higher education11,14019.1%>=500
Completed elementary, incomplete high school7,19512.4%>=500
Household income per capita (in 2022 minimum wages)
CategoryEstimateShareSample
1 to 2 minimum wages29,63531.8%>=500
½ to 1 minimum wage27,50529.5%>=500
More than 2 minimum wages19,19520.6%>=500
¼ to ½ minimum wage11,63012.5%>=500
Up to ¼ of a minimum wage4,7305.1%>=500
Not applicable (collective dwelling)5050.5%20-49
Age and sex
CategoryEstimateShareSample
Ages 40–59, female12,32514.5%>=500
Ages 40–59, male11,95514.0%>=500
Ages 25–39, male11,36013.3%>=500
Ages 25–39, female11,09513.0%>=500
Ages 15–24, male7,0908.3%>=500
Ages 15–24, female6,8058.0%>=500
Ages 5–14, male6,4807.6%>=500
Ages 5–14, female6,4457.6%>=500
Ages 60 and over, female6,0057.1%>=500
Ages 60 and over, male5,4556.4%>=500
Ages 15–24, sex undetermined600.1%20-49
Ages 25–39, sex undetermined300.0%5-19
Ages 5–14, sex undetermined300.0%5-19
Ages 40–59, sex undetermined200.0%5-19
Other / suppressed50.0%<5

Commuting (work and study)

Commuting indicators for Tangará da Serra/MT
Employed persons (aged 10 and over)54,050
Commute out to work in another municipality2,090
Commute in from another municipality to work here905
Net commuting−1,185
Out-commuting rate (%)3.86
Commuting attraction index0.940
Median commuting time80 min

Open Tangará da Serra/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]: Tangará da Serra/MT. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/tangara-da-serra-mt-5107958/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.