Migration in Edealina/GO (2017–2022)

Edealina/GO had a reference population (aged 5 or over in 2022) of 3,775 people. In the 2017–2022 five-year period, the municipality received 415 in-migrants and lost 345 out-migrants to other municipalities in Brazil, resulting in a net migration of +70 people (19.12 per 1,000 population) and a migration effectiveness index (IEM) of 0.095. This classifies the municipality, for the period, as one of migratory attraction. In addition, 5 arrived with an unreported origin and 5 came from abroad.

Indicators

Migration indicators for Edealina/GO, 2017–2022
Indicator	Estimate	95% CI	Precision
In-migrants	415	301 to 529	good
Out-migrants	345	145 to 545	use with caution
Net migration	+70	−160 to 300	not classified
Net migration rate, TLM (per 1,000 pop.)	19.12	-	-
Migration effectiveness index (IEM)	0.095	-	-

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 Edealina/GO
Origin	People	Precision
Goiânia/GO · view pair in the atlas	110	use with caution
Pontalina/GO · view pair in the atlas	70	low precision
Edéia/GO · view pair in the atlas	40	low precision
Aparecida de Goiânia/GO · view pair in the atlas	15	low precision

Top 10 destinations of out-migrants from Edealina/GO
Destination	People	Precision
Edéia/GO · view pair in the atlas	80	low precision
Pontalina/GO · view pair in the atlas	55	low precision

Profile of migrants and residents

In-migrants (arrivals)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	220	52.4%	50-99
First move from municipality of birth	160	38.1%	50-99
Return to municipality of birth	40	9.5%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	115	41.1%	20-49
Completed high school, incomplete higher education	70	25.0%	20-49
Completed elementary, incomplete high school	55	19.6%	5-19
Completed higher education	40	14.3%	5-19

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	175	41.7%	50-99
1 to 2 minimum wages	110	26.2%	20-49
¼ to ½ minimum wage	60	14.3%	5-19
More than 2 minimum wages	55	13.1%	5-19
Up to ¼ of a minimum wage	20	4.8%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, female	70	16.7%	20-49
Ages 25–39, female	60	14.3%	5-19
Ages 5–14, male	50	11.9%	5-19
Ages 40–59, male	45	10.7%	5-19
Ages 25–39, male	40	9.5%	5-19
Ages 60 and over, female	35	8.3%	5-19
Ages 60 and over, male	35	8.3%	5-19
Ages 15–24, male	30	7.1%	5-19
Ages 5–14, female	30	7.1%	5-19
Ages 15–24, female	25	6.0%	5-19

Out-migrants (departures)

Migrant type
Category	Estimate	Share	Sample
Multi-step migration	280	81.2%	20-49
Return to municipality of birth	40	11.6%	5-19
First move from municipality of birth	25	7.2%	5-19

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	115	46.0%	20-49
Completed elementary, incomplete high school	75	30.0%	5-19
Completed high school, incomplete higher education	40	16.0%	5-19
Other / suppressed	20	8.0%	<5

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
¼ to ½ minimum wage	130	37.7%	5-19
1 to 2 minimum wages	90	26.1%	5-19
½ to 1 minimum wage	85	24.6%	5-19
More than 2 minimum wages	30	8.7%	5-19
Other / suppressed	10	2.9%	<5

Age and sex
Category	Estimate	Share	Sample
Other / suppressed	90	25.7%	5-19
Ages 40–59, male	90	25.7%	5-19
Ages 25–39, male	60	17.1%	5-19
Ages 15–24, male	35	10.0%	5-19
Ages 40–59, female	35	10.0%	5-19
Ages 60 and over, female	20	5.7%	5-19
Ages 15–24, female	20	5.7%	5-19

Non-migrant residents

Educational attainment (people aged 25 and over)
Category	Estimate	Share	Sample
No schooling or incomplete elementary	1,205	48.1%	100-499
Completed high school, incomplete higher education	605	24.2%	100-499
Completed elementary, incomplete high school	430	17.2%	100-499
Completed higher education	265	10.6%	50-99

Household income per capita (in 2022 minimum wages)
Category	Estimate	Share	Sample
½ to 1 minimum wage	1,225	34.3%	100-499
1 to 2 minimum wages	1,005	28.1%	100-499
¼ to ½ minimum wage	590	16.5%	100-499
More than 2 minimum wages	500	14.0%	100-499
Up to ¼ of a minimum wage	235	6.6%	50-99
Not applicable (collective dwelling)	20	0.6%	5-19

Age and sex
Category	Estimate	Share	Sample
Ages 40–59, male	570	17.0%	100-499
Ages 40–59, female	510	15.2%	100-499
Ages 60 and over, male	380	11.4%	100-499
Ages 60 and over, female	365	10.9%	100-499
Ages 25–39, female	350	10.5%	100-499
Ages 25–39, male	330	9.9%	100-499
Ages 15–24, male	230	6.9%	50-99
Ages 15–24, female	215	6.4%	50-99
Ages 5–14, female	205	6.1%	50-99
Ages 5–14, male	190	5.7%	50-99

Commuting (work and study)

Commuting indicators for Edealina/GO
Employed persons (aged 10 and over)	1,650
Commute out to work in another municipality	20
Commute in from another municipality to work here	135
Net commuting	+115
Out-commuting rate (%)	1.10
Commuting attraction index	1.055
Median commuting time	120 min

Open Edealina/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]: Edealina/GO. Data from the 2022 Demographic Census (IBGE). Data version: 2026-10-01. Available at: https://atlas-da-migracao.github.io/en/municipio/edealina-go-5207352/. Dataset DOI: https://doi.org/10.5281/zenodo.22469791.