Migration in Estrela do Norte/GO (2017–2022)

Estrela do Norte/GO had a reference population (aged 5 or over in 2022) of 3,010 people. In the 2017–2022 five-year period, the municipality received 330 in-migrants and lost 340 out-migrants to other municipalities in Brazil, resulting in a net migration of −10 people (−3.51 per 1,000 population) and a migration effectiveness index (IEM) of −0.016. This classifies the municipality, for the period, as one of migratory depletion. In addition, 5 arrived with an unreported origin and 15 came from abroad.

Indicators

Migration indicators for Estrela do Norte/GO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	330	244 to 416	good
Out-migrants	340	182 to 498	use with caution
Net migration	−10	−190 to 170	not classified
Net migration rate, TLM (per 1,000 pop.)	−3.51	-	-
Migration effectiveness index (IEM)	−0.016	-	-

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 Estrela do Norte/GO
Origin	People	Precision
Anápolis/GO · view pair in the atlas	35	low precision
Goiânia/GO · view pair in the atlas	30	low precision
Porangatu/GO · view pair in the atlas	25	low precision
Campinorte/GO · view pair in the atlas	20	low precision
Santa Tereza de Goiás/GO · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Estrela do Norte/GO
Destination	People	Precision
Porangatu/GO · view pair in the atlas	85	low precision
Mara Rosa/GO · 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	195	60.0%	50-99
First move from municipality of birth	90	27.7%	20-49
Return to municipality of birth	40	12.3%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	90	39.1%	20-49
Completed higher education	60	26.1%	5-19
Completed high school, incomplete higher education	50	21.7%	5-19
Completed elementary, incomplete high school	30	13.0%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	125	37.9%	20-49
1 to 2 minimum wages	85	25.8%	20-49
¼ to ½ minimum wage	60	18.2%	20-49
Up to ¼ of a minimum wage	30	9.1%	5-19
More than 2 minimum wages	30	9.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 25–39, female	55	17.2%	5-19
Ages 25–39, male	50	15.6%	5-19
Ages 40–59, female	35	10.9%	5-19
Ages 5–14, male	30	9.4%	5-19
Ages 40–59, male	30	9.4%	5-19
Ages 15–24, female	30	9.4%	5-19
Ages 60 and over, male	25	7.8%	5-19
Ages 60 and over, female	25	7.8%	5-19
Ages 15–24, male	25	7.8%	5-19
Ages 5–14, female	15	4.7%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	185	55.2%	20-49
First move from municipality of birth	120	35.8%	5-19
Other / suppressed	30	9.0%	<5

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	80	35.6%	5-19
No schooling or incomplete elementary	80	35.6%	5-19
Completed higher education	45	20.0%	5-19
Other / suppressed	20	8.9%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	120	34.8%	5-19
1 to 2 minimum wages	90	26.1%	5-19
¼ to ½ minimum wage	70	20.3%	5-19
More than 2 minimum wages	65	18.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	140	41.8%	5-19
Ages 25–39, male	60	17.9%	5-19
Ages 40–59, female	50	14.9%	5-19
Ages 5–14, male	45	13.4%	5-19
Ages 40–59, male	40	11.9%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	925	48.2%	100-499
Completed high school, incomplete higher education	390	20.3%	100-499
Completed higher education	305	15.9%	50-99
Completed elementary, incomplete high school	300	15.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,150	40.3%	100-499
1 to 2 minimum wages	755	26.4%	100-499
¼ to ½ minimum wage	460	16.1%	100-499
More than 2 minimum wages	305	10.7%	50-99
Up to ¼ of a minimum wage	185	6.5%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	435	16.3%	100-499
Ages 40–59, male	375	14.0%	100-499
Ages 60 and over, female	285	10.7%	50-99
Ages 25–39, male	285	10.7%	50-99
Ages 60 and over, male	280	10.5%	50-99
Ages 25–39, female	260	9.7%	50-99
Ages 15–24, female	200	7.5%	50-99
Ages 5–14, female	185	6.9%	50-99
Ages 5–14, male	185	6.9%	50-99
Ages 15–24, male	180	6.7%	50-99

Commuting (work and study)

Commuting indicators for Estrela do Norte/GO
Employed persons (aged 10 and over)	1,435
Commute out to work in another municipality	60
Commute in from another municipality to work here	70
Net commuting	+10
Out-commuting rate (%)	4.23
Commuting attraction index	1.002
Median commuting time	35 min

Open Estrela do Norte/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]: Estrela do Norte/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/estrela-do-norte-go-5207501/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.