Migration in São Pedro da Cipa/MT (2017–2022)

São Pedro da Cipa/MT had a reference population (aged 5 or over in 2022) of 3,895 people. In the 2017–2022 five-year period, the municipality received 585 in-migrants and lost 465 out-migrants to other municipalities in Brazil, resulting in a net migration of +120 people (30.64 per 1,000 population) and a migration effectiveness index (IEM) of 0.114. This classifies the municipality, for the period, as one of migratory attraction. In addition, 10 arrived with an unreported origin and 0 came from abroad.

Indicators

Migration indicators for São Pedro da Cipa/MT, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	585	460 to 710	good
Out-migrants	465	274 to 656	use with caution
Net migration	+120	−108 to 348	not classified
Net migration rate, TLM (per 1,000 pop.)	30.64	-	-
Migration effectiveness index (IEM)	0.114	-	-

Sample of in-migrants: 100-499 observations. Sample of out-migrants: 20-49 observations. 95% confidence interval computed as estimate ± 1.96 × standard error.

Top origins and destinations

Top 10 origins of in-migrants to São Pedro da Cipa/MT
Origin	People	Precision
Jaciara/MT · view pair in the atlas	150	use with caution
Juscimeira/MT · view pair in the atlas	65	low precision
Rondonópolis/MT · view pair in the atlas	40	low precision
Campo Verde/MT · view pair in the atlas	30	low precision
Lucas do Rio Verde/MT · view pair in the atlas	15	low precision
Cuiabá/MT · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from São Pedro da Cipa/MT
Destination	People	Precision
Jaciara/MT · view pair in the atlas	85	low precision
Rondonópolis/MT · view pair in the atlas	70	low precision
Dom Aquino/MT · view pair in the atlas	40	low precision
Juscimeira/MT · view pair in the atlas	40	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	315	53.8%	100-499
First move from municipality of birth	185	31.6%	50-99
Return to municipality of birth	85	14.5%	20-49

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	160	45.1%	50-99
Completed high school, incomplete higher education	110	31.0%	20-49
Completed elementary, incomplete high school	70	19.7%	20-49
Completed higher education	15	4.2%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	220	37.6%	50-99
¼ to ½ minimum wage	160	27.4%	50-99
1 to 2 minimum wages	115	19.7%	20-49
Up to ¼ of a minimum wage	55	9.4%	5-19
More than 2 minimum wages	35	6.0%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, male	95	16.4%	20-49
Ages 25–39, female	70	12.1%	20-49
Ages 40–59, male	70	12.1%	20-49
Ages 5–14, female	70	12.1%	20-49
Ages 40–59, female	65	11.2%	20-49
Ages 5–14, male	65	11.2%	20-49
Ages 15–24, female	55	9.5%	5-19
Ages 15–24, male	40	6.9%	5-19
Ages 60 and over, male	30	5.2%	5-19
Ages 60 and over, female	20	3.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	305	66.3%	20-49
First move from municipality of birth	120	26.1%	5-19
Other / suppressed	35	7.6%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	100	35.7%	5-19
Completed elementary, incomplete high school	75	26.8%	5-19
Completed higher education	55	19.6%	5-19
No schooling or incomplete elementary	50	17.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
1 to 2 minimum wages	145	31.2%	5-19
½ to 1 minimum wage	120	25.8%	5-19
More than 2 minimum wages	80	17.2%	5-19
Up to ¼ of a minimum wage	55	11.8%	5-19
¼ to ½ minimum wage	50	10.8%	5-19
Other / suppressed	15	3.2%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	140	30.4%	5-19
Ages 25–39, male	100	21.7%	5-19
Ages 40–59, male	65	14.1%	5-19
Ages 15–24, female	65	14.1%	5-19
Ages 25–39, female	60	13.0%	5-19
Ages 5–14, female	30	6.5%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,090	48.8%	100-499
Completed high school, incomplete higher education	665	29.8%	100-499
Completed higher education	255	11.4%	50-99
Completed elementary, incomplete high school	225	10.1%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,390	38.6%	100-499
1 to 2 minimum wages	1,045	29.0%	100-499
¼ to ½ minimum wage	495	13.8%	100-499
More than 2 minimum wages	375	10.4%	100-499
Up to ¼ of a minimum wage	295	8.2%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	510	15.5%	100-499
Ages 40–59, female	510	15.5%	100-499
Ages 25–39, female	355	10.8%	100-499
Ages 25–39, male	320	9.7%	100-499
Ages 5–14, male	300	9.1%	50-99
Ages 5–14, female	270	8.2%	50-99
Ages 60 and over, male	270	8.2%	50-99
Ages 60 and over, female	270	8.2%	50-99
Ages 15–24, male	250	7.6%	50-99
Ages 15–24, female	245	7.4%	50-99

Commuting (work and study)

Commuting indicators for São Pedro da Cipa/MT
Employed persons (aged 10 and over)	1,565
Commute out to work in another municipality	605
Commute in from another municipality to work here	100
Net commuting	−505
Out-commuting rate (%)	38.71
Commuting attraction index	0.573
Median commuting time	20 min

Open São Pedro da Cipa/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]: São Pedro da Cipa/MT. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/sao-pedro-da-cipa-mt-5107404/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.