Migration in Amaralina/GO (2017–2022)

Amaralina/GO had a reference population (aged 5 or over in 2022) of 3,115 people. In the 2017–2022 five-year period, the municipality received 555 in-migrants and lost 145 out-migrants to other municipalities in Brazil, resulting in a net migration of +415 people (132.58 per 1,000 population) and a migration effectiveness index (IEM) of 0.590. This classifies the municipality, for the period, as one of migratory attraction. In addition, 0 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Amaralina/GO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	555	431 to 679	good
Out-migrants	145	77 to 213	use with caution
Net migration	+415	273 to 557	not classified
Net migration rate, TLM (per 1,000 pop.)	132.58	-	-
Migration effectiveness index (IEM)	0.590	-	-

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 Amaralina/GO
Origin	People	Precision
Goiânia/GO · view pair in the atlas	115	use with caution
Mara Rosa/GO · view pair in the atlas	70	low precision
Porangatu/GO · view pair in the atlas	50	low precision
Bonópolis/GO · view pair in the atlas	40	low precision
Anápolis/GO · view pair in the atlas	25	low precision
Campinorte/GO · view pair in the atlas	25	low precision
Mutunópolis/GO · view pair in the atlas	20	low precision
Alto Horizonte/GO · view pair in the atlas	20	low precision
Uruaçu/GO · view pair in the atlas	10	low precision

Top 10 destinations of out-migrants from Amaralina/GO
Destination	People	Precision
Mutunópolis/GO · view pair in the atlas	25	low precision
Alto Horizonte/GO · view pair in the atlas	20	low precision
Bonópolis/GO · view pair in the atlas	15	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	330	58.9%	100-499
First move from municipality of birth	200	35.7%	50-99
Return to municipality of birth	30	5.4%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	170	45.9%	50-99
Completed high school, incomplete higher education	95	25.7%	20-49
Completed elementary, incomplete high school	65	17.6%	20-49
Completed higher education	40	10.8%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	220	39.6%	50-99
¼ to ½ minimum wage	120	21.6%	20-49
1 to 2 minimum wages	110	19.8%	20-49
Up to ¼ of a minimum wage	60	10.8%	5-19
More than 2 minimum wages	45	8.1%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	90	16.1%	20-49
Ages 25–39, male	80	14.3%	20-49
Ages 25–39, female	75	13.4%	20-49
Ages 40–59, female	65	11.6%	5-19
Ages 5–14, female	55	9.8%	5-19
Ages 15–24, female	50	8.9%	5-19
Ages 15–24, male	45	8.0%	5-19
Ages 5–14, male	40	7.1%	5-19
Ages 60 and over, female	30	5.4%	5-19
Ages 60 and over, male	30	5.4%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	115	79.3%	20-49
Other / suppressed	30	20.7%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
Completed high school, incomplete higher education	35	36.8%	5-19
No schooling or incomplete elementary	30	31.6%	5-19
Other / suppressed	30	31.6%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	60	41.4%	5-19
1 to 2 minimum wages	45	31.0%	5-19
¼ to ½ minimum wage	25	17.2%	5-19
Other / suppressed	15	10.3%	5-19

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	75	51.7%	5-19
Ages 25–39, male	35	24.1%	5-19
Ages 25–39, female	20	13.8%	5-19
Ages 5–14, male	15	10.3%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,285	66.8%	100-499
Completed high school, incomplete higher education	310	16.1%	100-499
Completed elementary, incomplete high school	165	8.6%	50-99
Completed higher education	165	8.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,095	40.5%	100-499
1 to 2 minimum wages	585	21.6%	100-499
¼ to ½ minimum wage	560	20.7%	100-499
Up to ¼ of a minimum wage	285	10.5%	50-99
More than 2 minimum wages	180	6.7%	50-99

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	475	18.6%	100-499
Ages 40–59, female	440	17.2%	100-499
Ages 60 and over, male	325	12.7%	100-499
Ages 60 and over, female	245	9.6%	50-99
Ages 25–39, female	225	8.8%	50-99
Ages 25–39, male	220	8.6%	50-99
Ages 5–14, male	175	6.8%	50-99
Ages 15–24, male	160	6.3%	50-99
Ages 5–14, female	150	5.9%	50-99
Ages 15–24, female	140	5.5%	50-99

Commuting (work and study)

Commuting indicators for Amaralina/GO
Employed persons (aged 10 and over)	1,355
Commute out to work in another municipality	180
Commute in from another municipality to work here	130
Net commuting	−50
Out-commuting rate (%)	13.34
Commuting attraction index	0.940
Median commuting time	40 min

Open Amaralina/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]: Amaralina/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/amaralina-go-5200829/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.