Migration in Matrinchã/GO (2017–2022)

Matrinchã/GO had a reference population (aged 5 or over in 2022) of 3,810 people. In the 2017–2022 five-year period, the municipality received 555 in-migrants and lost 450 out-migrants to other municipalities in Brazil, resulting in a net migration of +105 people (27.41 per 1,000 population) and a migration effectiveness index (IEM) of 0.104. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Matrinchã/GO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	555	436 to 674	good
Out-migrants	450	250 to 650	use with caution
Net migration	+105	−128 to 338	not classified
Net migration rate, TLM (per 1,000 pop.)	27.41	-	-
Migration effectiveness index (IEM)	0.104	-	-

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 Matrinchã/GO
Origin	People	Precision
Goiânia/GO · view pair in the atlas	160	use with caution
Faina/GO · view pair in the atlas	35	low precision
Itaberaí/GO · view pair in the atlas	30	low precision
Jussara/GO · view pair in the atlas	25	low precision
Goianira/GO · view pair in the atlas	20	low precision
Itapirapuã/GO · view pair in the atlas	20	low precision

Top 10 destinations of out-migrants from Matrinchã/GO
Destination	People	Precision
Itapirapuã/GO · view pair in the atlas	35	low precision
Aruanã/GO · view pair in the atlas	30	low precision
Faina/GO · view pair in the atlas	25	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	350	63.1%	100-499
First move from municipality of birth	185	33.3%	50-99
Return to municipality of birth	20	3.6%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	130	36.6%	20-49
Completed elementary, incomplete high school	105	29.6%	20-49
Completed high school, incomplete higher education	85	23.9%	20-49
Completed higher education	35	9.9%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	225	40.5%	50-99
1 to 2 minimum wages	160	28.8%	50-99
¼ to ½ minimum wage	65	11.7%	20-49
Up to ¼ of a minimum wage	55	9.9%	5-19
More than 2 minimum wages	45	8.1%	5-19
Other / suppressed	5	0.9%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	80	14.5%	20-49
Ages 40–59, female	70	12.7%	20-49
Ages 15–24, female	65	11.8%	20-49
Ages 25–39, male	65	11.8%	20-49
Ages 40–59, male	60	10.9%	20-49
Ages 5–14, male	50	9.1%	5-19
Ages 15–24, male	50	9.1%	5-19
Ages 5–14, female	40	7.3%	5-19
Ages 60 and over, male	40	7.3%	5-19
Ages 60 and over, female	30	5.5%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	190	41.8%	20-49
First move from municipality of birth	190	41.8%	20-49
Return to municipality of birth	75	16.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	100	43.5%	5-19
No schooling or incomplete elementary	65	28.3%	5-19
Completed higher education	60	26.1%	5-19
Other / suppressed	5	2.2%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
More than 2 minimum wages	150	33.0%	5-19
1 to 2 minimum wages	140	30.8%	5-19
½ to 1 minimum wage	80	17.6%	20-49
¼ to ½ minimum wage	70	15.4%	5-19
Other / suppressed	15	3.3%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	80	17.4%	5-19
Ages 15–24, male	75	16.3%	5-19
Ages 15–24, female	70	15.2%	5-19
Ages 25–39, female	50	10.9%	5-19
Ages 5–14, female	45	9.8%	5-19
Ages 5–14, male	40	8.7%	5-19
Ages 40–59, male	35	7.6%	5-19
Ages 25–39, male	30	6.5%	5-19
Ages 60 and over, male	25	5.4%	5-19
Other / suppressed	10	2.2%	<5

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,315	54.2%	100-499
Completed high school, incomplete higher education	525	21.6%	100-499
Completed elementary, incomplete high school	315	13.0%	100-499
Completed higher education	270	11.1%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,565	45.1%	>=500
1 to 2 minimum wages	765	22.0%	100-499
¼ to ½ minimum wage	725	20.9%	100-499
Up to ¼ of a minimum wage	235	6.8%	50-99
More than 2 minimum wages	180	5.2%	50-99
Other / suppressed	0	0.0%	<5

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	540	16.6%	100-499
Ages 40–59, male	530	16.3%	100-499
Ages 60 and over, male	365	11.2%	100-499
Ages 25–39, female	340	10.5%	50-99
Ages 60 and over, female	340	10.5%	100-499
Ages 25–39, male	315	9.7%	100-499
Ages 15–24, female	220	6.8%	50-99
Ages 15–24, male	215	6.6%	50-99
Ages 5–14, male	210	6.5%	50-99
Ages 5–14, female	170	5.2%	50-99

Commuting (work and study)

Commuting indicators for Matrinchã/GO
Employed persons (aged 10 and over)	1,725
Commute out to work in another municipality	40
Commute in from another municipality to work here	100
Net commuting	+60
Out-commuting rate (%)	2.35
Commuting attraction index	1.031
Median commuting time	120 min

Open Matrinchã/GO 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]: Matrinchã/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/matrincha-go-5212956/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.