Migration in Itaúba/MT (2017–2022)

Itaúba/MT had a reference population (aged 5 or over in 2022) of 4,595 people. In the 2017–2022 five-year period, the municipality received 570 in-migrants and lost 680 out-migrants to other municipalities in Brazil, resulting in a net migration of −105 people (−23.15 per 1,000 population) and a migration effectiveness index (IEM) of −0.085. This classifies the municipality, for the period, as one of migratory depletion.

Indicators

Migration indicators for Itaúba/MT, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	570	435 to 705	good
Out-migrants	680	465 to 895	use with caution
Net migration	−105	−358 to 148	not classified
Net migration rate, TLM (per 1,000 pop.)	−23.15	-	-
Migration effectiveness index (IEM)	−0.085	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 100-499 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to Itaúba/MT
Origin	People	Precision
Sinop/MT · view pair in the atlas	170	use with caution
Colíder/MT · view pair in the atlas	45	low precision
Nova Santa Helena/MT · view pair in the atlas	30	low precision

Top 10 destinations of out-migrants from Itaúba/MT
Destination	People	Precision
Sinop/MT · view pair in the atlas	150	low precision
Nova Santa Helena/MT · view pair in the atlas	110	low precision
Colíder/MT · view pair in the atlas	90	low precision
Cláudia/MT · view pair in the atlas	30	low precision
Santa Carmem/MT · view pair in the atlas	20	low precision
Nova Guarita/MT · view pair in the atlas	20	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	360	62.6%	100-499
First move from municipality of birth	185	32.2%	50-99
Return to municipality of birth	25	4.3%	5-19
Other / suppressed	5	0.9%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	175	49.3%	50-99
Completed high school, incomplete higher education	105	29.6%	20-49
Completed elementary, incomplete high school	45	12.7%	5-19
Completed higher education	30	8.5%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	235	41.2%	50-99
1 to 2 minimum wages	140	24.6%	50-99
¼ to ½ minimum wage	85	14.9%	20-49
More than 2 minimum wages	75	13.2%	20-49
Up to ¼ of a minimum wage	25	4.4%	5-19
Other / suppressed	10	1.8%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	80	13.9%	20-49
Ages 40–59, male	75	13.0%	20-49
Ages 25–39, female	70	12.2%	20-49
Ages 40–59, female	70	12.2%	20-49
Ages 5–14, male	60	10.4%	5-19
Ages 15–24, female	60	10.4%	5-19
Ages 15–24, male	50	8.7%	5-19
Ages 5–14, female	45	7.8%	5-19
Ages 60 and over, male	35	6.1%	5-19
Ages 60 and over, female	30	5.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	485	71.3%	50-99
First move from municipality of birth	125	18.4%	20-49
Return to municipality of birth	70	10.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	215	51.8%	20-49
Completed high school, incomplete higher education	120	28.9%	5-19
Completed elementary, incomplete high school	65	15.7%	5-19
Other / suppressed	15	3.6%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	265	39.3%	20-49
1 to 2 minimum wages	235	34.8%	20-49
Up to ¼ of a minimum wage	80	11.9%	5-19
More than 2 minimum wages	60	8.9%	5-19
¼ to ½ minimum wage	35	5.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	120	17.8%	5-19
Ages 25–39, female	90	13.3%	5-19
Ages 5–14, female	75	11.1%	5-19
Ages 15–24, female	75	11.1%	5-19
Ages 40–59, male	75	11.1%	5-19
Ages 60 and over, male	60	8.9%	5-19
Ages 15–24, male	60	8.9%	5-19
Ages 5–14, male	50	7.4%	5-19
Ages 40–59, female	50	7.4%	5-19
Other / suppressed	20	3.0%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,345	48.9%	100-499
Completed high school, incomplete higher education	785	28.5%	100-499
Completed elementary, incomplete high school	350	12.7%	100-499
Completed higher education	270	9.8%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,770	39.8%	>=500
1 to 2 minimum wages	1,385	31.2%	100-499
More than 2 minimum wages	585	13.2%	100-499
¼ to ½ minimum wage	575	12.9%	100-499
Up to ¼ of a minimum wage	125	2.8%	20-49
Other / suppressed	5	0.1%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	590	14.7%	100-499
Ages 40–59, female	550	13.7%	100-499
Ages 25–39, female	530	13.2%	100-499
Ages 25–39, male	530	13.2%	100-499
Ages 5–14, male	370	9.2%	100-499
Ages 15–24, male	310	7.7%	100-499
Ages 15–24, female	300	7.5%	100-499
Ages 5–14, female	295	7.3%	50-99
Ages 60 and over, female	280	7.0%	50-99
Ages 60 and over, male	270	6.7%	50-99

Commuting (work and study)

Commuting indicators for Itaúba/MT
Employed persons (aged 10 and over)	2,390
Commute out to work in another municipality	65
Commute in from another municipality to work here	210
Net commuting	+145
Out-commuting rate (%)	2.78
Commuting attraction index	1.048
Median commuting time	60 min

Open Itaúba/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]: Itaúba/MT. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/itauba-mt-5104559/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.