Migration in Santa Cruz do Xingu/MT (2017–2022)

Santa Cruz do Xingu/MT had a reference population (aged 5 or over in 2022) of 2,420 people. In the 2017–2022 five-year period, the municipality received 910 in-migrants and lost 470 out-migrants to other municipalities in Brazil, resulting in a net migration of +440 people (180.81 per 1,000 population) and a migration effectiveness index (IEM) of 0.317. This classifies the municipality, for the period, as one of migratory attraction.

Indicators

Migration indicators for Santa Cruz do Xingu/MT, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	910	735 to 1,085	good
Out-migrants	470	213 to 727	use with caution
Net migration	+440	129 to 751	not classified
Net migration rate, TLM (per 1,000 pop.)	180.81	-	-
Migration effectiveness index (IEM)	0.317	-	-

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 Santa Cruz do Xingu/MT
Origin	People	Precision
Confresa/MT · view pair in the atlas	75	low precision
Chapadinha/MA · view pair in the atlas	65	low precision
Canarana/MT · view pair in the atlas	35	low precision
São José do Xingu/MT · view pair in the atlas	30	low precision
Goiânia/GO · view pair in the atlas	25	low precision
Barra do Garças/MT · view pair in the atlas	25	low precision
São Félix do Araguaia/MT · view pair in the atlas	20	low precision
Querência/MT · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Santa Cruz do Xingu/MT
Destination	People	Precision
Confresa/MT · view pair in the atlas	50	low precision
São José do Xingu/MT · view pair in the atlas	35	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	510	56.0%	100-499
First move from municipality of birth	395	43.4%	100-499
Other / suppressed	5	0.5%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	270	53.5%	50-99
Completed high school, incomplete higher education	105	20.8%	20-49
Completed elementary, incomplete high school	95	18.8%	20-49
Completed higher education	35	6.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	365	40.1%	100-499
1 to 2 minimum wages	260	28.6%	50-99
¼ to ½ minimum wage	145	15.9%	20-49
More than 2 minimum wages	115	12.6%	20-49
Other / suppressed	25	2.7%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	135	14.9%	20-49
Ages 5–14, male	125	13.8%	20-49
Ages 40–59, male	125	13.8%	20-49
Ages 25–39, female	115	12.7%	20-49
Ages 5–14, female	100	11.0%	20-49
Ages 15–24, female	95	10.5%	20-49
Ages 40–59, female	85	9.4%	20-49
Ages 15–24, male	80	8.8%	20-49
Ages 60 and over, male	25	2.8%	5-19
Ages 60 and over, female	20	2.2%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	345	73.4%	20-49
Return to municipality of birth	100	21.3%	5-19
Other / suppressed	25	5.3%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed higher education	110	36.7%	5-19
Completed elementary, incomplete high school	75	25.0%	5-19
No schooling or incomplete elementary	70	23.3%	5-19
Completed high school, incomplete higher education	45	15.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	130	28.0%	20-49
More than 2 minimum wages	105	22.6%	5-19
½ to 1 minimum wage	90	19.4%	5-19
¼ to ½ minimum wage	85	18.3%	5-19
Other / suppressed	55	11.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	70	15.2%	5-19
Ages 25–39, female	70	15.2%	5-19
Ages 40–59, female	65	14.1%	5-19
Ages 40–59, male	65	14.1%	5-19
Ages 5–14, female	65	14.1%	5-19
Other / suppressed	60	13.0%	5-19
Ages 15–24, female	35	7.6%	5-19
Ages 15–24, male	30	6.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	455	42.9%	100-499
Completed high school, incomplete higher education	245	23.1%	50-99
Completed elementary, incomplete high school	205	19.3%	50-99
Completed higher education	155	14.6%	20-49

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	650	37.0%	100-499
1 to 2 minimum wages	530	30.2%	100-499
More than 2 minimum wages	340	19.4%	100-499
¼ to ½ minimum wage	195	11.1%	50-99
Up to ¼ of a minimum wage	35	2.0%	5-19
Other / suppressed	5	0.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	235	15.5%	50-99
Ages 25–39, male	210	13.9%	50-99
Ages 40–59, female	205	13.5%	50-99
Ages 25–39, female	195	12.9%	50-99
Ages 60 and over, male	130	8.6%	20-49
Ages 5–14, female	125	8.3%	20-49
Ages 15–24, male	125	8.3%	20-49
Ages 15–24, female	105	6.9%	20-49
Ages 5–14, male	100	6.6%	20-49
Ages 60 and over, female	85	5.6%	20-49

Commuting (work and study)

Commuting indicators for Santa Cruz do Xingu/MT
Employed persons (aged 10 and over)	1,470
Commute out to work in another municipality	20
Commute in from another municipality to work here	85
Net commuting	+65
Out-commuting rate (%)	1.29
Commuting attraction index	1.032
Median commuting time	90 min

Open Santa Cruz do Xingu/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]: Santa Cruz do Xingu/MT. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/santa-cruz-do-xingu-mt-5107743/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.