Migration in Várzea Grande/MT (2017–2022)

Várzea Grande/MT had a reference population (aged 5 or over in 2022) of 277,010 people. In the 2017–2022 five-year period, the municipality received 17,090 in-migrants and lost 8,575 out-migrants to other municipalities in Brazil, resulting in a net migration of +8,515 people (30.74 per 1,000 population) and a migration effectiveness index (IEM) of 0.332. This classifies the municipality, for the period, as one of migratory attraction. In addition, 155 arrived with an unreported origin and 1,445 came from abroad.

Indicators

Migration indicators for Várzea Grande/MT, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	17,090	15,826 to 18,354	good
Out-migrants	8,575	7,589 to 9,561	good
Net migration	+8,515	6,912 to 10,118	not classified
Net migration rate, TLM (per 1,000 pop.)	30.74	-	-
Migration effectiveness index (IEM)	0.332	-	-

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 Várzea Grande/MT
Origin	People	Precision
Cuiabá/MT · view pair in the atlas	6,430	good
Cáceres/MT · view pair in the atlas	810	use with caution
Poconé/MT · view pair in the atlas	470	use with caution
Campo Grande/MS · view pair in the atlas	315	use with caution
Rio Branco/AC · view pair in the atlas	295	low precision
Nossa Senhora do Livramento/MT · view pair in the atlas	290	use with caution
Porto Velho/RO · view pair in the atlas	255	low precision
Rondonópolis/MT · view pair in the atlas	240	low precision
Barra do Bugres/MT · view pair in the atlas	225	use with caution
Sinop/MT · view pair in the atlas	215	low precision

Top 10 destinations of out-migrants from Várzea Grande/MT
Destination	People	Precision
Cuiabá/MT · view pair in the atlas	2,260	good
Sinop/MT · view pair in the atlas	360	use with caution
Nossa Senhora do Livramento/MT · view pair in the atlas	315	use with caution
Rondonópolis/MT · view pair in the atlas	285	use with caution
Chapada dos Guimarães/MT · view pair in the atlas	245	low precision
Sorriso/MT · view pair in the atlas	225	low precision
Tangará da Serra/MT · view pair in the atlas	220	low precision
Nova Mutum/MT · view pair in the atlas	185	low precision
Alta Floresta/MT · view pair in the atlas	185	low precision
Jaciara/MT · view pair in the atlas	130	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
First move from municipality of birth	9,495	55.5%	>=500
Multi-step migration	6,580	38.5%	>=500
Return to municipality of birth	855	5.0%	50-99
Born abroad, internal migrant	165	1.0%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	4,340	41.8%	100-499
No schooling or incomplete elementary	2,275	21.9%	100-499
Completed higher education	2,200	21.2%	100-499
Completed elementary, incomplete high school	1,560	15.0%	100-499

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	5,295	31.0%	>=500
1 to 2 minimum wages	5,035	29.5%	100-499
More than 2 minimum wages	2,915	17.1%	100-499
¼ to ½ minimum wage	2,490	14.6%	100-499
Up to ¼ of a minimum wage	840	4.9%	50-99
Not applicable (collective dwelling)	515	3.0%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	3,240	19.0%	100-499
Ages 25–39, female	2,760	16.2%	100-499
Ages 15–24, female	2,015	11.8%	100-499
Ages 15–24, male	1,810	10.6%	100-499
Ages 40–59, female	1,750	10.2%	100-499
Ages 40–59, male	1,575	9.2%	100-499
Ages 5–14, male	1,475	8.6%	100-499
Ages 5–14, female	1,410	8.3%	100-499
Ages 60 and over, male	570	3.3%	50-99
Ages 60 and over, female	475	2.8%	20-49

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	5,030	58.7%	>=500
First move from municipality of birth	2,060	24.0%	100-499
Return to municipality of birth	1,480	17.3%	100-499
Other / suppressed	5	0.1%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	1,995	34.2%	100-499
Completed higher education	1,935	33.2%	100-499
No schooling or incomplete elementary	1,110	19.0%	100-499
Completed elementary, incomplete high school	795	13.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	2,475	28.9%	100-499
1 to 2 minimum wages	2,390	27.9%	100-499
½ to 1 minimum wage	2,255	26.3%	100-499
¼ to ½ minimum wage	930	10.8%	100-499
Up to ¼ of a minimum wage	420	4.9%	50-99
Not applicable (collective dwelling)	105	1.2%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	1,510	17.6%	100-499
Ages 25–39, female	1,490	17.4%	100-499
Ages 40–59, female	1,005	11.7%	100-499
Ages 40–59, male	845	9.9%	100-499
Ages 15–24, female	750	8.7%	50-99
Ages 5–14, female	700	8.2%	50-99
Ages 15–24, male	650	7.6%	50-99
Ages 5–14, male	645	7.5%	50-99
Ages 60 and over, male	520	6.1%	50-99
Ages 60 and over, female	460	5.4%	20-49

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	60,660	34.9%	>=500
No schooling or incomplete elementary	52,745	30.3%	>=500
Completed elementary, incomplete high school	31,485	18.1%	>=500
Completed higher education	28,915	16.6%	>=500

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	91,550	32.5%	>=500
1 to 2 minimum wages	80,790	28.7%	>=500
¼ to ½ minimum wage	48,655	17.3%	>=500
More than 2 minimum wages	37,390	13.3%	>=500
Up to ¼ of a minimum wage	22,685	8.1%	>=500
Not applicable (collective dwelling)	310	0.1%	20-49

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	37,840	14.6%	>=500
Ages 40–59, male	35,610	13.8%	>=500
Ages 25–39, female	34,580	13.4%	>=500
Ages 25–39, male	33,130	12.8%	>=500
Ages 5–14, male	21,705	8.4%	>=500
Ages 15–24, male	21,265	8.2%	>=500
Ages 15–24, female	20,785	8.0%	>=500
Ages 5–14, female	20,750	8.0%	>=500
Ages 60 and over, female	17,765	6.9%	>=500
Ages 60 and over, male	14,890	5.8%	>=500

Commuting (work and study)

Commuting indicators for Várzea Grande/MT
Employed persons (aged 10 and over)	142,140
Commute out to work in another municipality	26,130
Commute in from another municipality to work here	5,300
Net commuting	−20,830
Out-commuting rate (%)	18.38
Commuting attraction index	0.816
Median commuting time	40 min

This municipality is part of Região Metropolitana do Vale do Rio Cuiabá → see the metropolitan region page

Open Várzea Grande/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]: Várzea Grande/MT. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/varzea-grande-mt-5108402/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.